From 2ddec53954ee1d3b51024b8535fb73cd014bd4b5 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E9=99=88=E9=93=AD=E8=BD=A9?= Date: Tue, 22 Sep 2026 19:16:17 +0800 Subject: [PATCH] feat: add Chinese UI, Responses models, and mirrored Windows setup Localize the web console and persist custom model and capability settings. Use OpenAI Responses exclusively and move runtime limits into environment configuration. Bootstrap uv and the virtual environment on Windows, support optional China mirrors, and package source distributions without environments, build output, or credentials. Update regression tests and repository quality checks for the new behavior. --- .env.example | 49 +- .gitignore | 1 + README.md | 10 +- README_CN.md | 67 +- apps/admin_console/replay_manager.py | 143 +- apps/admin_console/routers/system.py | 108 +- apps/admin_console/services/model_service.py | 8 +- .../services/model_settings_service.py | 161 +++ apps/showcase_ui/src/app/app.config.ts | 6 +- .../agent-stream/agent-stream-startup.spec.ts | 10 +- .../agent-stream/agent-stream.component.html | 216 ++-- .../agent-stream/agent-stream.component.ts | 145 +-- .../chat-interface.component.html | 39 +- .../chat-interface.component.ts | 15 +- .../floating-video-player.component.html | 76 +- .../legacy-agent-stream.component.html | 26 +- .../capability-settings.component.ts | 54 + .../model-settings.component.spec.ts | 73 ++ .../model-settings.component.ts | 108 ++ .../nav-switcher/nav-switcher.component.ts | 22 +- .../src/app/core/data/smart-tasks.data.ts | 208 +-- .../src/app/core/models/pro-tuning.model.ts | 96 +- .../src/app/core/models/stream.model.ts | 3 +- .../src/app/pages/home/home.component.html | 700 +++------- .../src/app/pages/home/home.component.ts | 348 +---- .../pages/workspace/workspace.component.html | 16 +- .../pages/workspace/workspace.component.ts | 8 +- .../src/app/services/agent.service.spec.ts | 6 +- .../src/app/services/agent.service.ts | 40 +- .../src/app/services/system.service.ts | 11 +- .../app/utils/action-formatter.util.spec.ts | 16 +- .../src/app/utils/action-formatter.util.ts | 62 +- .../src/app/utils/image-overlay.util.ts | 32 +- .../src/app/utils/markdown-parser.util.ts | 2 +- .../src/app/utils/run-info.util.spec.ts | 8 +- .../app/utils/stream-aggregator.util.spec.ts | 11 +- .../src/app/utils/stream-aggregator.util.ts | 20 +- .../src/app/utils/tool-formatter.util.spec.ts | 18 +- .../src/app/utils/tool-formatter.util.ts | 176 +-- .../src/app/utils/ui-label.pipe.ts | 17 + apps/showcase_ui/src/index.html | 2 +- artemis/agents/checker/checker.json | 2 +- artemis/agents/diagnoser/diagnoser.json | 2 +- artemis/agents/diagnoser/diagnoser.py | 6 +- artemis/agents/explorer/constants.py | 4 +- artemis/agents/explorer/explorer.json | 2 +- artemis/agents/explorer/explorer.py | 126 +- artemis/agents/explorer/native_runner.py | 878 ------------- artemis/agents/explorer/tool_declarations.py | 216 +--- artemis/agents/explorer/universal_runner.py | 5 +- artemis/agents/flash/flash_runner.md | 8 + artemis/agents/flash/flash_summarizer.md | 12 +- .../agents/flash/flash_summarizer_single.md | 12 +- artemis/agents/flash/runner.py | 10 +- artemis/agents/flash/summarizer.py | 11 +- .../history_analyzer/history_analyzer.py | 4 +- artemis/agents/log_analyzer/log_analyzer.py | 4 +- .../agents/log_analyzer/output_analyzer.py | 4 +- artemis/agents/operator/operator.json | 2 +- artemis/agents/operator/operator.py | 2 +- artemis/agents/outputter/outputter.md | 6 + artemis/agents/outputter/outputter.py | 4 +- artemis/agents/planner/planner.json | 4 +- artemis/agents/validator/tool_declarations.py | 39 - artemis/agents/video_analyzer/__init__.py | 2 +- .../{audio_native.py => audio_runner.py} | 274 +--- .../agents/video_analyzer/chunk_agentic.py | 455 ------- .../video_analyzer/chunk_conversation.py | 491 ------- .../{chunk_native.py => chunk_runner.py} | 155 +-- artemis/agents/video_analyzer/gemini_files.py | 162 --- .../video_analyzer/native_coordinator.py | 541 -------- .../agents/video_analyzer/universal_engine.py | 6 +- .../agents/video_analyzer/universal_tools.py | 154 +-- .../agents/video_analyzer/video_analyzer.py | 150 +-- artemis/config/__init__.py | 14 - artemis/config/agent.py | 52 +- artemis/config/constants.py | 12 +- artemis/config/core/engine.py | 2 +- artemis/config/llm.py | 65 +- artemis/config/settings.py | 92 +- artemis/constants.py | 25 - .../diagnostics/probes/credentials_probe.py | 208 +-- .../core/diagnostics/probes/runtime_probe.py | 8 +- .../diagnostics/probes/toolchain_probe.py | 4 +- artemis/core/diagnostics/readiness.py | 2 +- artemis/core/diagnostics/schema.py | 2 +- artemis/interfaces/cli/commands/init.py | 18 +- artemis/interfaces/cli/commands/run.py | 2 +- artemis/llm/google/__init__.py | 57 - artemis/llm/google/provider.py | 185 --- artemis/llm/router.py | 366 +----- artemis/llm/{google => }/usage.py | 0 artemis/memory/chunking.py | 16 +- artemis/resources/config/artemis.jsonc | 253 +--- artemis/resources/showcase_ui/index.html | 8 +- .../resources/showcase_ui/main-BGAFACUZ.js | 18 - .../resources/showcase_ui/main-WGGFA77O.js | 157 +++ ...tyles-CDJM3XQS.css => styles-SCTCINHC.css} | 2 +- artemis/sdk/agent.py | 62 +- .../examples/video_transcription_example.py | 29 +- artemis/services/llm.py | 218 +--- artemis/services/token_meter.py | 4 +- artemis/tools/base.py | 40 - artemis/tools/video_tool.py | 6 +- artemis/utils/credentials_validator.py | 92 +- config/artemis.jsonc | 253 +--- config/downloads.json | 20 + mcp_server/tools/diagnose.py | 42 +- .../backend_manager/app/auth/jwt_handler.py | 8 +- .../backend_manager/app/auth/otp_service.py | 6 +- .../app/services/bigquery_service.py | 2 +- .../app/services/docker_service.py | 2 +- .../app/services/session_manager.py | 8 +- pyproject.toml | 4 - pyright-core.json | 1 - scripts/bootstrap_python.ps1 | 85 ++ scripts/download_config.ps1 | 103 ++ scripts/package_source.py | 154 +++ scripts/start.ps1 | 108 +- start-cn.bat | 6 + start.bat | 15 +- tests/tools/diagnoser/test_diagnoser_tools.py | 14 +- .../test_video_analyzer_tools.py | 38 +- .../unit/admin_console/test_model_service.py | 4 +- .../unit/admin_console/test_model_settings.py | 108 ++ .../admin_console/test_security_boundary.py | 2 +- .../admin_console/test_step_repository.py | 10 +- tests/unit/agents/test_explorer.py | 1150 ----------------- tests/unit/agents/test_explorer_prepass.py | 28 - tests/unit/agents/test_explorer_tiers.py | 211 +-- tests/unit/agents/test_explorer_universal.py | 4 +- tests/unit/agents/test_operator_transcript.py | 6 +- tests/unit/agents/test_video_agentic.py | 1086 ---------------- tests/unit/agents/test_video_analyzer.py | 616 --------- .../agents/test_video_analyzer_universal.py | 4 +- tests/unit/agents/test_video_audio_native.py | 157 --- tests/unit/agents/test_video_blackboard.py | 6 +- tests/unit/agents/test_video_reliability.py | 136 +- .../config/test_video_processing_config.py | 39 - tests/unit/core/test_diagnostics.py | 22 +- tests/unit/core/test_readiness.py | 2 +- tests/unit/mcp/test_diagnose_tool.py | 77 +- tests/unit/memory/test_history_chunking.py | 10 +- tests/unit/test_cli.py | 12 +- tests/unit/test_config_package.py | 14 +- tests/unit/test_credentials_validator.py | 24 +- tests/unit/test_download_mirrors.py | 160 +++ tests/unit/test_gemini_role.py | 79 -- tests/unit/test_google_provider.py | 146 --- tests/unit/test_google_usage.py | 2 +- tests/unit/test_llm_grounding.py | 164 --- tests/unit/test_llm_pause.py | 83 +- tests/unit/test_openai_responses.py | 215 +++ tests/unit/test_planner.py | 5 +- tests/unit/test_source_archive.py | 35 + tests/unit/test_windows_bootstrap.py | 148 +++ tests/unit/tools/history/test_declarations.py | 6 +- .../unit/tools/test_append_note_pure_tool.py | 6 +- tests/unit/tools/test_append_note_tool.py | 6 +- tests/unit/tools/test_command_tool.py | 18 +- tests/unit/tools/test_committee_tool.py | 4 +- tests/unit/tools/test_explorer_tool.py | 6 +- tests/unit/tools/test_image_processor_tool.py | 6 +- tests/unit/tools/test_launch_app_tool.py | 4 +- tests/unit/tools/test_list_notes_pure_tool.py | 2 +- tests/unit/tools/test_list_notes_tool.py | 2 +- tests/unit/tools/test_log_tool.py | 4 +- .../unit/tools/test_object_detection_tool.py | 10 +- tests/unit/tools/test_ocr_tool.py | 2 +- tests/unit/tools/test_read_hierarchy_tool.py | 2 +- tests/unit/tools/test_read_logs_tool.py | 8 +- tests/unit/tools/test_read_note_pure_tool.py | 8 +- tests/unit/tools/test_read_note_tool.py | 8 +- tests/unit/tools/test_save_note_pure_tool.py | 6 +- tests/unit/tools/test_save_note_tool.py | 6 +- tests/unit/tools/test_search_logs.py | 14 +- .../unit/tools/test_update_note_pure_tool.py | 8 +- tests/unit/tools/test_update_note_tool.py | 8 +- .../tools/test_video_analyzer_pure_tool.py | 6 +- tests/unit/tools/test_video_analyzer_tool.py | 6 +- tests/unit/tools/test_wait_tool.py | 4 +- tests/unit/utils/test_optional_ocr.py | 2 +- uv.lock | 579 --------- 183 files changed, 3427 insertions(+), 11857 deletions(-) create mode 100644 apps/admin_console/services/model_settings_service.py create mode 100644 apps/showcase_ui/src/app/components/model-settings/capability-settings.component.ts create mode 100644 apps/showcase_ui/src/app/components/model-settings/model-settings.component.spec.ts create mode 100644 apps/showcase_ui/src/app/components/model-settings/model-settings.component.ts create mode 100644 apps/showcase_ui/src/app/utils/ui-label.pipe.ts delete mode 100644 artemis/agents/explorer/native_runner.py rename artemis/agents/video_analyzer/{audio_native.py => audio_runner.py} (57%) delete mode 100644 artemis/agents/video_analyzer/chunk_agentic.py delete mode 100644 artemis/agents/video_analyzer/chunk_conversation.py rename artemis/agents/video_analyzer/{chunk_native.py => chunk_runner.py} (74%) delete mode 100644 artemis/agents/video_analyzer/gemini_files.py delete mode 100644 artemis/agents/video_analyzer/native_coordinator.py delete mode 100644 artemis/llm/google/__init__.py delete mode 100644 artemis/llm/google/provider.py rename artemis/llm/{google => }/usage.py (100%) delete mode 100644 artemis/resources/showcase_ui/main-BGAFACUZ.js create mode 100644 artemis/resources/showcase_ui/main-WGGFA77O.js rename artemis/resources/showcase_ui/{styles-CDJM3XQS.css => styles-SCTCINHC.css} (91%) create mode 100644 config/downloads.json create mode 100644 scripts/bootstrap_python.ps1 create mode 100644 scripts/download_config.ps1 create mode 100644 scripts/package_source.py create mode 100644 start-cn.bat create mode 100644 tests/unit/admin_console/test_model_settings.py delete mode 100644 tests/unit/agents/test_video_agentic.py delete mode 100644 tests/unit/agents/test_video_analyzer.py delete mode 100644 tests/unit/agents/test_video_audio_native.py delete mode 100644 tests/unit/config/test_video_processing_config.py create mode 100644 tests/unit/test_download_mirrors.py delete mode 100644 tests/unit/test_gemini_role.py delete mode 100644 tests/unit/test_google_provider.py delete mode 100644 tests/unit/test_llm_grounding.py create mode 100644 tests/unit/test_openai_responses.py create mode 100644 tests/unit/test_source_archive.py create mode 100644 tests/unit/test_windows_bootstrap.py diff --git a/.env.example b/.env.example index 8b23d0a..b6ffe89 100644 --- a/.env.example +++ b/.env.example @@ -1,32 +1,39 @@ -# ============================================================================== -# Artemis Environment Configuration Template -# ============================================================================== -# Copy this file to .env and fill in your API credentials: -# cp .env.example .env - -# LLM Providers (Configure at least one) -GEMINI_API_KEY= -GOOGLE_API_KEY= +# 复制为 .env，或在首页「模型配置」「功能开关」中填写并保存。 +# 所有模型调用仅使用 OpenAI Responses API；环境变量优先于 .env。 OPENAI_API_KEY= -ANTHROPIC_API_KEY= -OPEN_ROUTER_API_KEY= -XAI_API_KEY= +# 接口根地址：通常以 /v1 结尾，不要添加 /responses 或 /chat/completions。 +OPENAI_BASE_URL=https://api.openai.com/v1 +OPENAI_MODEL=gpt-5-mini +# 单次模型 HTTP 请求超时（秒） +OPENAI_TIMEOUT_SECONDS=120 +# SDK 内部重试次数；默认 0，由 Artemis 的分类恢复机制处理重试。 +OPENAI_MAX_RETRIES=0 -# Google Cloud Vision OCR (Optional - for advanced OCR processing) +# 功能开关：保存后对新任务生效 +ARTEMIS_VIDEO_ENABLED=true +ARTEMIS_OUTPUTTER_ENABLED=true +ARTEMIS_STEP_SUMMARIZER_ENABLED=true + +# 视频分段、重试与单次分析超时（秒） +ARTEMIS_VIDEO_CHUNK_SECONDS=60 +ARTEMIS_VIDEO_TIMEOUT_SECONDS=120 +ARTEMIS_VIDEO_MAX_RETRIES=1 +# 检查点、退出汇总与凭据验证超时（秒） +ARTEMIS_CHECKPOINT_TIMEOUT_SECONDS=180 +ARTEMIS_SETTLEMENT_TIMEOUT_SECONDS=120 +ARTEMIS_CREDENTIAL_TIMEOUT_SECONDS=12 +ARTEMIS_MODEL_CACHE_TTL_SECONDS=10 +# 模型重试耗尽后的暂停等待上限（秒）；0 表示无限等待 +LLM_PAUSE_TIMEOUT_SECONDS=900 + +# 可选 Google Cloud Vision OCR，独立于模型调用，不配置也可运行。 OCR_API_KEY= -# Android ADB Connectivity (Optional - defaults to 127.0.0.1:5037) +# Android ADB 连接 ADB_HOST=127.0.0.1 ADB_PORT=5037 # ADB_DEVICE_SERIAL= -# Keep the display awake, falling back to a wake lock or safe heartbeat when needed. -# Set to false if Artemis is used with a personal device whose screen should time out. ARTEMIS_KEEP_DEVICE_AWAKE=true -# UI hierarchy backend: auto (Accessibility Helper, UIAutomator2 fallback) | helper | uiautomator ARTEMIS_HIERARCHY_BACKEND=auto -# Let tasks install / upgrade the Accessibility Helper APK on a device they hold. -# Set to false on shared or personal phones: then only `artemis helper install` installs it. ARTEMIS_HELPER_AUTO_INSTALL=true - -# Artemis Execution Defaults (flash or pro) ARTEMIS_DEFAULT_PROFILE=flash diff --git a/.gitignore b/.gitignore index 31cf3e9..5cda9f7 100644 --- a/.gitignore +++ b/.gitignore @@ -109,6 +109,7 @@ live_screenshot*.png *.key # OS Artifacts +artifacts/ .DS_Store .DS_Store? ._* diff --git a/README.md b/README.md index d188360..f6216b3 100644 --- a/README.md +++ b/README.md @@ -20,7 +20,7 @@ Python 3.12+ License: Apache-2.0 MCP Native - Multi-Model + OpenAI Responses AndroidWorld SOTA

@@ -104,6 +104,14 @@ cd artemis > **Tip**: Opens `http://localhost:8000` in your default browser with a device connection wizard, live screen mirroring, prompt sandbox, and execution replays. You can also run directly from CLI: `uv run artemis run "Open Settings, find Battery and tell me current level" --profile flash`. +### Model and feature settings + +The web console now uses Simplified Chinese. Open **系统设置与运行准备 → 模型配置** to edit and save the Responses base URL, model, API key, request timeout, and retry count. **测试连接** tests the current form without saving; **保存配置** persists it to `.env`. Leave the key blank to retain the existing credential. Existing keys are never returned to the browser. + +All models use **OpenAI Responses**, including custom gateways. Set `OPENAI_API_KEY`, `OPENAI_BASE_URL` (the API root, usually ending in `/v1`), and `OPENAI_MODEL` (for example `mimo-v2.6-flash`). Gemini, Anthropic and Chat Completions transports are no longer supported. Video analysis sends sampled image frames and requires image input support. Structured output uses Responses function calling with local schema validation. + +The **功能开关** section persists video analysis/recording, final reports, and Flash step summaries. Changes apply to new tasks and survive restart. Environment variables take precedence over `.env`; explicit per-node or task overrides take precedence over global defaults. See [`.env.example`](.env.example) for timeout settings and the [Chinese setup guide](README_CN.md#网页模型配置与功能开关) for details. +
diff --git a/README_CN.md b/README_CN.md index 7c425c6..031c709 100644 --- a/README_CN.md +++ b/README_CN.md @@ -20,7 +20,7 @@ Python 3.12+ License: Apache-2.0 MCP Native - Multi-Model + OpenAI Responses AndroidWorld SOTA

@@ -104,8 +104,73 @@ cd artemis > PowerShell 默认不会从当前目录查找可执行脚本，因此必须使用 `.\start.bat`，且命令末尾不要添加 `\`。如果使用传统命令提示符（CMD），则运行 `start.bat`。 +首次启动会检测 uv：已有则复用，缺少则从 Astral 官方安装。随后检查项目 `.venv`，缺少时自动安装所需的 Python 3.12 并创建环境；已有且满足 Python 3.12+ 要求的环境直接复用。依赖与 `uv.lock` 一致时跳过安装，否则只同步缺失或变化的依赖，保留已有开发工具。安装失败会停止启动并显示原因，不会删除已有环境。 + +国内网络可直接双击 **`start-cn.bat`**，或在 PowerShell 中运行： + +```powershell +.\start-cn.bat +# 仅安装 Python 环境，也支持镜像模式 +.\start-cn.bat -SetupOnly +# 与上面的入口等价 +.\start.bat -Mirror China +# 本次使用官方源 +.\start.bat -Mirror Official +``` + +下载配置位于 `config/downloads.json`。将 `mode` 改成 `China` 后，普通 `start.bat` 也默认使用国内源；命令行 `-Mirror` 优先。`timeout_seconds` 控制下载超时（默认 180 秒，范围 10～3600 秒）。国内模式使用： + +| 组件 | 下载来源 | +| --- | --- | +| uv 与 Python 依赖 | 清华 PyPI 镜像；uv 直接从 wheel 提取并校验 SHA256，无需预装 Python | +| Python 运行时 | 南京大学 python-build-standalone 镜像 | +| Node.js 与 npm 包 | npmmirror | +| ADB | 腾讯 Android SDK 镜像 | +| FFmpeg | `imageio-ffmpeg` Python 包附带的程序 | +| scrcpy | 默认仍使用 GitHub 官方发布，可用下述配置替换 | + +镜像模式从 `uv.lock` 导出固定版本和哈希，再通过所选索引安装，避免锁文件中的官方直链绕过镜像；不会改写锁文件或升级已锁定版本。npm 使用本次启动进程的 registry 配置。所有设置仅影响当前启动进程，不修改用户全局 pip、uv、npm 或 nvm 配置。已有 `UV_DEFAULT_INDEX`（或 `UV_INDEX_URL`）、`UV_PYTHON_INSTALL_MIRROR`、`npm_config_registry` 环境变量优先。 + +需要公司内网源或替换不可用镜像时，在 `config/downloads.json` 的 `overrides` 中填写对应 HTTPS 地址；空字符串表示使用所选模式的默认值。`python_index` 是以 `/simple` 结尾的索引，`python_download_mirror` 是 Python 发布目录，`node_mirror` 是包含版本子目录的 Node.js 下载根路径，`adb_url` 和 `scrcpy_url` 是可直接下载的 Windows ZIP 地址。scrcpy 暂无内置国内镜像，GitHub 不可达时请配置可信的 `scrcpy_url` 或预先安装 scrcpy。`uv_installer_url` 只用于没有设置 Python 镜像时的 PowerShell 安装器路径。镜像缺包或下载失败会显示错误；修正地址后重试即可，不会静默切换到官方源。 + +镜像说明参考：[清华 PyPI](https://mirrors.tuna.tsinghua.edu.cn/help/pypi/)、[uv 下载镜像配置](https://docs.astral.sh/uv/reference/environment/#uv_python_install_mirror)。 + +也可先单独准备 Python 环境，不启动页面、不安装设备工具、不配置 MCP： + +```powershell +.\start.bat -SetupOnly +# 环境准备好后正常启动 +.\start.bat +# 可选：指定端口、不自动打开浏览器 +.\start.bat -Port 8001 -NoOpen +``` + +源码压缩包不携带 `.venv`、`node_modules`、前端编译结果或 APK。解压到可写目录后运行 `start.bat`，首次完整启动会安装所需 Node.js/npm 并构建网页，需要联网；已有构建时跳过。`.env` 不存在时才从 `.env.example` 创建，已有配置不会覆盖。Android 辅助 APK 的源码位于 `packages/artemis-accessibility-helper`，需要该功能时按该目录的构建脚本生成。 + +重新打源码包可运行 `uv run --no-sync python scripts/package_source.py`，输出到 `artifacts/`；脚本会排除本地密钥、运行数据、缓存、依赖目录与编译产物，并检查 ZIP 完整性。 + > **提示**：启动后将自动在默认浏览器中打开 Web 控制台（`http://localhost:8000`），提供设备连接向导、实时投屏、任务演练与状态回放面板。你也可以通过命令行直接运行：`uv run artemis run "打开系统设置，找到电池选项并告诉我当前电量" --profile flash`。 +### 网页模型配置与功能开关 + +Web 控制台使用简体中文。在首页打开「系统设置与运行准备」，可以修改接口地址、模型名称、API Key、请求超时和重试次数。点击「测试连接」会使用当前表单发送一次真实的 Responses 请求；点击「保存配置」才会写入工作目录的 `.env`。密钥留空会保留现有值，网页不会读取或显示已有密钥。 + +所有模型调用统一使用 **OpenAI Responses API**，不再提供 Gemini、Anthropic 或 Chat Completions 调用路径。自定义网关必须实现 `/responses`，接口地址填写根地址（通常以 `/v1` 结尾）。例如： + +```dotenv +OPENAI_API_KEY=你的密钥 +OPENAI_BASE_URL=https://你的网关/v1 +OPENAI_MODEL=mimo-v2.6-flash +OPENAI_TIMEOUT_SECONDS=120 +OPENAI_MAX_RETRIES=0 +``` + +「功能开关」提供视频分析与录屏、最终报告生成、Flash 步骤摘要压缩，可分别保存。设置对**新任务**生效，重启后保留。环境变量优先于 `.env`；在网页保存时会同时更新当前服务进程的配置，服务的启动环境若显式定义了同名变量，后续重启仍以启动环境为准。手动配置的节点模型或任务级选项优先于全局默认值。 + +视频分析通过抽取画面帧调用模型，因此需要支持图片输入的模型。`mimo-v2.6-flash` 已验证文本、图片、工具调用、流式输出及结构化函数调用；对于不支持 `json_schema` 的网关，结构化结果使用 Responses 函数调用并在本地校验。音频输入是否可用取决于端点能力，拒绝音频时视频分析会尝试仅分析画面。 + +视频分段时长、分析超时、检查点超时等配置及单位见 [`.env.example`](.env.example)。可选 Cloud Vision OCR 独立于模型调用，未配置 OCR 密钥也可运行。 +
diff --git a/apps/admin_console/replay_manager.py b/apps/admin_console/replay_manager.py index 7174d64..14f5b75 100644 --- a/apps/admin_console/replay_manager.py +++ b/apps/admin_console/replay_manager.py @@ -86,14 +86,14 @@ class ReplayManager: It reconstructs historical execution states (SQLite database records, trace histories, and screenshots) and replays a single agent step in an isolated, deterministic sandbox environment while interacting live with a physical - Android device and Gemini. + Android device and OpenAI Responses. Key Responsibilities: - Reconstructs and preloads historical SQLite states up to a specific step. - Establishes sandboxed `ArtemisContext` and `DataEngine` instances. - Integrates with physical devices via ADB and UIAutomator. - - Hooks and spies on the Gemini API to capture thoughts and raw outputs. + - Records Responses model calls to capture thoughts and raw outputs. - Reconciles live and preloaded traces into unified chronological trees. Attributes: @@ -1552,8 +1552,8 @@ class ReplayManager: # Update values conn_temp.execute( """ - UPDATE video_recordings - SET local_video_path = ?, start_time = ?, end_time = ? + UPDATE video_recordings + SET local_video_path = ?, start_time = ?, end_time = ? WHERE session_id = ? """, ( @@ -1583,8 +1583,8 @@ class ReplayManager: conn_temp.execute( """ - UPDATE video_recordings - SET local_video_path = ?, start_time = ?, end_time = ? + UPDATE video_recordings + SET local_video_path = ?, start_time = ?, end_time = ? WHERE session_id = ? """, ( @@ -1885,121 +1885,34 @@ class ReplayManager: data_engine = ctx.data_engine - print("Executing using Live Gemini Client...") + print("Executing using OpenAI Responses...") - from google.genai.models import AsyncModels + from langchain_openai import ChatOpenAI from unittest.mock import patch - original_generate_content = AsyncModels.generate_content + original_generate = ChatOpenAI._agenerate - async def wrapped_generate_content(self, *, model, contents, config=None, **kwargs): - system_instruction = None - if config and config.system_instruction: - if isinstance(config.system_instruction, str): - system_instruction = config.system_instruction - elif hasattr(config.system_instruction, "parts"): - parts = [] - for p in config.system_instruction.parts: - if hasattr(p, "text") and p.text: - parts.append(p.text) - system_instruction = " ".join(parts) - else: - system_instruction = str(config.system_instruction) - - prompt_data = { - "model": model, - "system_instruction": system_instruction, - "contents": [], + async def wrapped_generate(model, messages, *args, **kwargs): + record = { + "prompt": { + "model": model.model_name, + "contents": [ + {"role": message.type, "parts": message.content} for message in messages + ], + }, + "response": None, + "error": None, } - - contents_list = contents if isinstance(contents, list) else [contents] - for content in contents_list: - parts_desc = [] - if hasattr(content, "parts") and content.parts: - for part in content.parts: - if hasattr(part, "text") and part.text: - parts_desc.append({"type": "text", "text": part.text}) - elif hasattr(part, "inline_data") and part.inline_data: - parts_desc.append( - { - "type": "image", - "mime_type": part.inline_data.mime_type, - "length": len(part.inline_data.data), - } - ) - elif hasattr(part, "function_call") and part.function_call: - parts_desc.append( - { - "type": "function_call", - "name": part.function_call.name, - "args": ( - dict(part.function_call.args) - if part.function_call.args - else {} - ), - } - ) - elif hasattr(part, "function_call") and part.function_response: - parts_desc.append( - { - "type": "function_response", - "name": part.function_response.name, - "response": ( - dict(part.function_response.response) - if part.function_response.response - else {} - ), - } - ) - else: - parts_desc.append({"type": "raw", "value": str(content)}) - - prompt_data["contents"].append( - { - "role": getattr(content, "role", "unknown"), - "parts": parts_desc, - } - ) - - record = {"prompt": prompt_data, "response": None, "error": None} llm_calls_log.append(record) - try: - res = await original_generate_content( - self, - model=model, - contents=contents, - config=config, - **kwargs, - ) - - thinking_parts = [] - if hasattr(res, "candidates") and res.candidates and res.candidates[0].content: - for part in res.candidates[0].content.parts: - if getattr(part, "thought", False): - thinking_parts.append(part.text) - - resp_data = { - "text": res.text if hasattr(res, "text") else None, - "function_calls": [], - "thought": ("\n".join(thinking_parts) if thinking_parts else None), - } - if hasattr(res, "function_calls") and res.function_calls: - for fc in res.function_calls: - resp_data["function_calls"].append( - { - "name": fc.name, - "args": dict(fc.args) if fc.args else {}, - } - ) - record["response"] = resp_data - return res - except Exception as err: - err_str = str(err) - record["error"] = ( - f"{err.__class__.__name__}: {err_str}" if err_str else err.__class__.__name__ - ) - raise err + result = await original_generate(model, messages, *args, **kwargs) + record["response"] = [ + generation.message.model_dump(mode="json") for generation in result.generations + ] + return result + except Exception as error: + record["error"] = error.__class__.__name__ + raise try: try: @@ -2042,7 +1955,7 @@ class ReplayManager: val = resolved_val tool_args[name] = val - with patch.object(AsyncModels, "generate_content", wrapped_generate_content): + with patch.object(ChatOpenAI, "_agenerate", wrapped_generate): outcome = await tool_fn(**tool_args) replay_result["success"] = True diff --git a/apps/admin_console/routers/system.py b/apps/admin_console/routers/system.py index 5127eca..141e272 100644 --- a/apps/admin_console/routers/system.py +++ b/apps/admin_console/routers/system.py @@ -31,6 +31,63 @@ from artemis.core.diagnostics.schema import SystemReadinessReport router = APIRouter(prefix="/api/system", tags=["system"]) +from apps.admin_console.services.model_settings_service import ( + ModelSettingsUpdate, + get_model_settings, + save_model_settings, + test_model_settings, + CapabilitySettings, + get_capability_settings, + save_capability_settings, +) + + +@router.get("/capability-settings") +async def read_capability_settings(): + return get_capability_settings() + + +@router.post("/capability-settings") +async def write_capability_settings(payload: CapabilitySettings): + try: + return save_capability_settings(payload) + except OSError as exc: + raise HTTPException( + status_code=500, detail="无法保存功能开关，请检查 .env 文件权限" + ) from exc + + +@router.get("/model-settings") +async def read_model_settings(): + return get_model_settings() + + +@router.post("/model-settings") +async def write_model_settings(payload: ModelSettingsUpdate): + try: + result = save_model_settings(payload) + except OSError as exc: + raise HTTPException(status_code=500, detail="无法写入 .env，请检查文件权限") from exc + except ValueError as exc: + raise HTTPException(status_code=400, detail="API Key 格式不正确，请检查后重试") from exc + await readiness_engine.run_all(force_refresh=True) + return {**result, "message": "配置已保存，新任务立即生效，重启后自动加载。"} + + +@router.post("/model-settings/test") +async def check_model_settings(payload: ModelSettingsUpdate): + try: + return await test_model_settings(payload) + except Exception as exc: + # SDK exceptions may contain URLs or request data; never echo credentials. + status = getattr(exc, "status_code", None) + detail = ( + f"Responses 连接失败（HTTP {status}）" + if status + else "Responses 连接失败，请检查接口地址、模型、密钥和超时设置。" + ) + raise HTTPException(status_code=400, detail=detail) from exc + def _require_local_admin_request(request: Request) -> None: """Keep endpoint probing and mutation on the local administration boundary.""" @@ -264,8 +321,8 @@ class UpdateCredentialsRequest(BaseModel): """Payload to update and configure LLM or Vision OCR API credentials.""" provider: str = Field( - default="google", - description="Provider identifier (e.g. google, gemini, openai, anthropic, openrouter, ocr)", + default="openai", + description="Provider identifier (openai or ocr)", ) api_key: str = Field(description="The secret API key string to configure") persist_to_env: bool = Field( @@ -277,8 +334,8 @@ class ValidateCredentialsRequest(BaseModel): """Payload to test and verify LLM or Vision OCR API credentials without saving.""" provider: str = Field( - default="google", - description="Provider identifier (e.g. google, gemini, openai, anthropic, openrouter, ocr)", + default="openai", + description="Provider identifier (openai or ocr)", ) api_key: str = Field(description="The secret API key string to test") base_url: str | None = Field(default=None, description="Optional custom base URL") @@ -294,9 +351,8 @@ async def get_credentials(): """ from artemis.config import settings - providers = ("google", "openai", "anthropic", "openrouter", "ocr") + providers = ("openai", "ocr") status = {name: bool(settings.get_api_key(name)) for name in providers} - status["gemini"] = status["google"] return { "providers": [ {"name": name, "configured": configured} for name, configured in status.items() @@ -415,13 +471,7 @@ async def get_model_config_and_env(): return "****" return f"****{k[-4:]}" - gemini_real = get_real_env_value("GEMINI_API_KEY", "google") or get_real_env_value( - "GOOGLE_API_KEY", "google" - ) openai_real = get_real_env_value("OPENAI_API_KEY", "openai") - anthropic_real = get_real_env_value("ANTHROPIC_API_KEY", "anthropic") - openrouter_real = get_real_env_value("OPEN_ROUTER_API_KEY", "openrouter") - xai_real = get_real_env_value("XAI_API_KEY", "xai") base_url_val = settings.OPENAI_BASE_URL or os.environ.get("OPENAI_BASE_URL") if base_url_val and is_placeholder_key(base_url_val): base_url_val = None @@ -430,47 +480,19 @@ async def get_model_config_and_env(): ) env_vars = [ - { - "name": "GEMINI_API_KEY", - "provider": "google", - "is_set": bool(gemini_real), - "preview": mask_key(gemini_real), - "description": "Google Gemini multimodal vision API key (free tier available)", - }, { "name": "OPENAI_API_KEY", "provider": "openai", "is_set": bool(openai_real), "preview": mask_key(openai_real), - "description": "OpenAI API key (GPT-4o, GPT-4o-mini)", - }, - { - "name": "ANTHROPIC_API_KEY", - "provider": "anthropic", - "is_set": bool(anthropic_real), - "preview": mask_key(anthropic_real), - "description": "Anthropic Claude API key (Claude 3.5 Sonnet, Claude 3.7)", - }, - { - "name": "OPEN_ROUTER_API_KEY", - "provider": "openrouter", - "is_set": bool(openrouter_real), - "preview": mask_key(openrouter_real), - "description": "OpenRouter unified API gateway key", - }, - { - "name": "XAI_API_KEY", - "provider": "xai", - "is_set": bool(xai_real), - "preview": mask_key(xai_real), - "description": "xAI Grok vision API key", + "description": "OpenAI Responses API 密钥", }, { "name": "OPENAI_BASE_URL", - "provider": "custom", + "provider": "openai", "is_set": bool(base_url_val), "preview": base_url_val, - "description": "Custom API endpoint (for local Ollama, vLLM, DeepSeek, or proxies)", + "description": "OpenAI Responses 接口根地址（包含 /v1，不包含 /responses）", }, { "name": "VISION_API_KEY", diff --git a/apps/admin_console/services/model_service.py b/apps/admin_console/services/model_service.py index 0ccc0bc..b8d4ca0 100644 --- a/apps/admin_console/services/model_service.py +++ b/apps/admin_console/services/model_service.py @@ -12,6 +12,8 @@ # See the License for the specific language governing permissions and # limitations under the License. +from artemis.config.settings import settings + import json import logging import time @@ -26,7 +28,7 @@ class ModelService: # parse_llm_config re-reads and re-validates the config file on every call; # /api/sessions calls this once per session row, so cache (provider, model_id) # for a short TTL. Config edits take effect within _LLM_INFO_TTL seconds. - _LLM_INFO_TTL = 10.0 + _LLM_INFO_TTL = settings.ARTEMIS_MODEL_CACHE_TTL_SECONDS _llm_info_cache: tuple[float, str, str] | None = None @classmethod @@ -35,8 +37,8 @@ class ModelService: now = time.monotonic() if cached and now - cached[0] < cls._LLM_INFO_TTL: return cached[1], cached[2] - provider = "google" - model_id = "gemini-3.7-flash" + provider = "openai" + model_id = settings.OPENAI_MODEL try: from artemis.config import parse_llm_config diff --git a/apps/admin_console/services/model_settings_service.py b/apps/admin_console/services/model_settings_service.py new file mode 100644 index 0000000..2564280 --- /dev/null +++ b/apps/admin_console/services/model_settings_service.py @@ -0,0 +1,161 @@ +"""Persist the single Responses endpoint without returning credentials to the browser.""" + +import os +import tempfile +import threading +from pathlib import Path +from urllib.parse import urlsplit + +from pydantic import BaseModel, Field, SecretStr, field_validator + +from artemis.config.paths import get_env_file +from artemis.config.settings import settings + +_write_lock = threading.Lock() + + +class ModelSettingsUpdate(BaseModel): + base_url: str = "https://api.openai.com/v1" + model: str = Field(min_length=1, max_length=200) + api_key: SecretStr | None = None # Omitted/blank keeps the existing key. + timeout_seconds: float = Field(default=120, gt=0, le=3600) + max_retries: int = Field(default=0, ge=0, le=10) + + @field_validator("base_url") + @classmethod + def validate_base_url(cls, value: str) -> str: + value = value.strip().rstrip("/") + parsed = urlsplit(value) + if ( + parsed.scheme not in ("https", "http") + or not parsed.hostname + or parsed.username + or parsed.password + or parsed.query + or parsed.fragment + ): + raise ValueError("请输入有效的 HTTP(S) 接口根地址，不要包含密钥、查询参数或片段") + if value.endswith(("/responses", "/chat/completions")): + raise ValueError("请输入接口根地址，例如 https://api.openai.com/v1") + return value + + @field_validator("model") + @classmethod + def validate_model(cls, value: str) -> str: + value = value.strip() + if not value or any(c in value for c in "\r\n\x00"): + raise ValueError("模型名称不能为空或包含换行") + return value + + +def get_model_settings() -> dict: + return { + "provider": "openai", + "api_mode": "responses", + "base_url": settings.OPENAI_BASE_URL or "https://api.openai.com/v1", + "model": settings.OPENAI_MODEL, + "api_key_configured": bool(settings.OPENAI_API_KEY), + "timeout_seconds": settings.OPENAI_TIMEOUT_SECONDS, + "max_retries": settings.OPENAI_MAX_RETRIES, + "env_path": str(get_env_file()), + } + + +def save_model_settings(update: ModelSettingsUpdate) -> dict: + if update.api_key and any(c in update.api_key.get_secret_value() for c in "\r\n\x00"): + raise ValueError("API Key 不能包含换行") + values = { + "OPENAI_BASE_URL": update.base_url, + "OPENAI_MODEL": update.model, + "OPENAI_TIMEOUT_SECONDS": str(update.timeout_seconds), + "OPENAI_MAX_RETRIES": str(update.max_retries), + } + if update.api_key and update.api_key.get_secret_value().strip(): + values["OPENAI_API_KEY"] = update.api_key.get_secret_value().strip() + persist_environment(values) + settings.OPENAI_BASE_URL = update.base_url + settings.OPENAI_MODEL = update.model + settings.OPENAI_TIMEOUT_SECONDS = update.timeout_seconds + settings.OPENAI_MAX_RETRIES = update.max_retries + if "OPENAI_API_KEY" in values: + settings.OPENAI_API_KEY = SecretStr(values["OPENAI_API_KEY"]) + from artemis.llm.router import ModelFactory + from apps.admin_console.services.model_service import ModelService + + ModelFactory._cache.clear() + ModelService._llm_info_cache = None + return get_model_settings() + + +def persist_environment(values: dict[str, str]) -> None: + with _write_lock: + env_path = get_env_file() + env_path.parent.mkdir(parents=True, exist_ok=True) + original = env_path.read_text(encoding="utf-8") if env_path.exists() else "" + # Preserve comments and unrelated variables; quote values to avoid dotenv interpolation. + kept = [ + line + for line in original.splitlines() + if line.removeprefix("export ").split("=", 1)[0].strip() not in values + ] + for key, value in values.items(): + escaped = value.replace("\\", "\\\\").replace("'", "\\'") + kept.append(f"{key}='{escaped}'") + content = "\n".join(kept) + "\n" + fd, temp_name = tempfile.mkstemp(prefix=".env-", dir=env_path.parent) + try: + with os.fdopen(fd, "w", encoding="utf-8", newline="\n") as stream: + stream.write(content) + stream.flush() + os.fsync(stream.fileno()) + os.replace(temp_name, env_path) + finally: + Path(temp_name).unlink(missing_ok=True) + for key, value in values.items(): + os.environ[key] = value + + +class CapabilitySettings(BaseModel): + video_enabled: bool = True + outputter_enabled: bool = True + step_summarizer_enabled: bool = True + + +def get_capability_settings() -> CapabilitySettings: + return CapabilitySettings( + video_enabled=settings.ARTEMIS_VIDEO_ENABLED, + outputter_enabled=settings.ARTEMIS_OUTPUTTER_ENABLED, + step_summarizer_enabled=settings.ARTEMIS_STEP_SUMMARIZER_ENABLED, + ) + + +def save_capability_settings(update: CapabilitySettings) -> CapabilitySettings: + values = { + "ARTEMIS_VIDEO_ENABLED": update.video_enabled, + "ARTEMIS_OUTPUTTER_ENABLED": update.outputter_enabled, + "ARTEMIS_STEP_SUMMARIZER_ENABLED": update.step_summarizer_enabled, + } + persist_environment({key: str(value).lower() for key, value in values.items()}) + for key, value in values.items(): + setattr(settings, key, value) + return get_capability_settings() + + +async def test_model_settings(update: ModelSettingsUpdate) -> dict: + from langchain_core.messages import HumanMessage + from artemis.llm.router import ModelEndpoint, ModelFactory + + key = update.api_key.get_secret_value().strip() if update.api_key else None + endpoint = ModelEndpoint( + model_name=update.model, + api_key=key or None, + api_base=update.base_url, + timeout_seconds=update.timeout_seconds, + max_retries=0, + max_tokens=64, + ) + model = ModelFactory.create_model(endpoint) + result = await model.ainvoke([HumanMessage(content="Reply with OK only.")]) + if not result.content: + raise ValueError("Responses 接口返回空内容，请检查模型配置") + return {"success": True, "message": "Responses 连接测试成功", "model": update.model} diff --git a/apps/showcase_ui/src/app/app.config.ts b/apps/showcase_ui/src/app/app.config.ts index c5a0f87..29d6d98 100644 --- a/apps/showcase_ui/src/app/app.config.ts +++ b/apps/showcase_ui/src/app/app.config.ts @@ -1,3 +1,6 @@ +import { registerLocaleData } from '@angular/common'; +import zh from '@angular/common/locales/zh'; +registerLocaleData(zh); /** * Copyright 2026 Google LLC * @@ -14,7 +17,7 @@ * limitations under the License. */ -import { ApplicationConfig, provideZoneChangeDetection } from '@angular/core'; +import { ApplicationConfig, LOCALE_ID, provideZoneChangeDetection } from '@angular/core'; import { provideRouter } from '@angular/router'; import { provideHttpClient, withXhr } from '@angular/common/http'; @@ -22,6 +25,7 @@ import { routes } from './app.routes'; export const appConfig: ApplicationConfig = { providers: [ + { provide: LOCALE_ID, useValue: 'zh-CN' }, provideZoneChangeDetection({ eventCoalescing: true }), provideRouter(routes), provideHttpClient(withXhr()) diff --git a/apps/showcase_ui/src/app/components/agent-stream/agent-stream-startup.spec.ts b/apps/showcase_ui/src/app/components/agent-stream/agent-stream-startup.spec.ts index 5c915fd..faa5b8e 100644 --- a/apps/showcase_ui/src/app/components/agent-stream/agent-stream-startup.spec.ts +++ b/apps/showcase_ui/src/app/components/agent-stream/agent-stream-startup.spec.ts @@ -4,17 +4,17 @@ import { buildStartupWorkItems } from './agent-stream.component'; describe('startup Work block', () => { it('shows only the three device preparation operations', () => { const events: StartupProgressEvent[] = [ - { stage: 'submitting', message: 'Submitting the task', timestamp: 100 }, + { stage: 'submitting', message: '正在提交任务', timestamp: 100 }, { stage: 'queued', message: 'Task received and queued', timestamp: 100.9 }, { stage: 'launching', message: 'Starting the execution process', timestamp: 101 }, { stage: 'configuration', message: 'Loading the run configuration', timestamp: 103.1 }, { stage: 'device_check', message: 'Checking the Android device', timestamp: 103.2 }, - { stage: 'device_ready', message: 'Android device connected', timestamp: 123 }, + { stage: 'device_ready', message: 'Android 设备已连接', timestamp: 123 }, { stage: 'model_warmup', message: 'Warming the model connection', timestamp: 123 }, { stage: 'uiautomator', message: 'Connecting to UI Automator', timestamp: 124 }, { stage: 'uiautomator_ready', message: 'UI Automator is ready', timestamp: 128 }, { stage: 'environment', message: 'Preparing the device environment', timestamp: 128 }, - { stage: 'environment_ready', message: 'Device environment is ready', timestamp: 131 } + { stage: 'environment_ready', message: '设备环境已就绪', timestamp: 131 } ]; const items = buildStartupWorkItems(events, 131, false, true); @@ -90,7 +90,7 @@ describe('startup Work block', () => { const [item] = buildStartupWorkItems(events, 20, false, true); - expect(item.message).toBe('UI hierarchy service is ready'); + expect(item.message).toBe('界面层级服务已就绪'); }); it('uses old first_response events only as a hidden completion boundary', () => { @@ -101,7 +101,7 @@ describe('startup Work block', () => { const [item] = buildStartupWorkItems(events, 24, false, true); - expect(item.message).toBe('Device environment is ready'); + expect(item.message).toBe('设备环境已就绪'); expect(item.elapsed).toBe('3.0s'); expect(item.isActive).toBeFalse(); }); diff --git a/apps/showcase_ui/src/app/components/agent-stream/agent-stream.component.html b/apps/showcase_ui/src/app/components/agent-stream/agent-stream.component.html index 93172d3..ca4590c 100644 --- a/apps/showcase_ui/src/app/components/agent-stream/agent-stream.component.html +++ b/apps/showcase_ui/src/app/components/agent-stream/agent-stream.component.html @@ -24,11 +24,11 @@ limitations under the License. class="vscode-tab-btn" [class.active]="isTaskDropdownOpen()" (click)="toggleTaskDropdown($event)" - title="Task Queue" - aria-label="Task Queue" + title="任务队列" + aria-label="任务队列" > list_alt - Task Queue + 任务队列 @@ -57,7 +57,7 @@ limitations under the License.
list_alt - Task Queue + 任务队列
bolt @@ -65,7 +65,8 @@ limitations under the License.
@if (activeQueue().length === 0) {
- No active or queued tasks + + 没有正在执行或排队的任务
} @for (session of activeQueue(); track trackSession($index, session)) { @@ -80,7 +81,7 @@ limitations under the License. @if (getTaskStatus(session) === 'running') { } - {{ getTaskStatus(session) | uppercase }} + {{ getTaskStatus(session) | uiLabel }}
@if (getDeviceSerial(session)) { @@ -98,8 +99,8 @@ limitations under the License. type="button" class="btn-stop-card" (click)="stopTask(session.session_id, $event)" - title="Stop this task" - aria-label="Stop this task" + title="停止此任务" + aria-label="停止此任务" > stop_circle @@ -109,8 +110,8 @@ limitations under the License. type="button" class="btn-delete-card" (click)="deleteTask(session.session_id, $event)" - title="Delete this task" - aria-label="Delete this task" + title="删除此任务" + aria-label="删除此任务" > delete @@ -118,7 +119,7 @@ limitations under the License.
- {{ session.initial_goal || 'Unnamed Task' }} + {{ session.initial_goal || '未命名任务' }}
ID: {{ session.session_id }} @@ -132,7 +133,8 @@ limitations under the License.
@if (historyTasks().length === 0) {
- No past task history + + 暂无历史任务
}
@@ -148,7 +150,7 @@ limitations under the License. @if (getTaskStatus(session) === 'running') { } - {{ getTaskStatus(session) | uppercase }} + {{ getTaskStatus(session) | uiLabel }}
@if (getDeviceSerial(session)) { @@ -166,8 +168,8 @@ limitations under the License. type="button" class="btn-delete-card" (click)="deleteTask(session.session_id, $event)" - title="Delete this task" - aria-label="Delete this task" + title="删除此任务" + aria-label="删除此任务" > delete @@ -175,7 +177,7 @@ limitations under the License.
- {{ session.initial_goal || 'Unnamed Task' }} + {{ session.initial_goal || '未命名任务' }}
ID: {{ session.session_id }} @@ -200,7 +202,7 @@ limitations under the License.
description - Notes & Plans + 笔记与计划
@if (noteKeys().length > 1) { @@ -222,7 +224,7 @@ limitations under the License. @if (noteKeys().length === 0) {
description - No notes available for this session. + 此会话暂无笔记。
} @@ -402,7 +404,7 @@ limitations under the License. (click)="toggleRunInfo($event)" > {{ getModelIcon(model.name) }} - Architecture: + 执行模式： {{ getModelDisplayName(model.name) }} @@ -415,7 +417,7 @@ limitations under the License. (backdropClick)="isRunInfoOpen.set(false)" [cdkConnectedOverlayPositions]="dropdownPositions" > -
@@ -832,7 +485,7 @@ 2 }
- 2. ADB Handshake + 2. ADB 连接
@@ -847,7 +500,7 @@ 3 } - 3. Android OS Boot + 3. 系统启动
@@ -856,7 +509,7 @@
check_circle
- 4. Ready + 4. 就绪 @@ -877,7 +530,7 @@
info - Android virtualization cold boot usually takes 20-45 seconds. Live progress is actively tracked above—please do not click launch repeatedly. + Android 模拟器冷启动通常需要 20–45 秒。上方会显示实时进度，请勿重复点击启动。
@@ -886,14 +539,14 @@
terminal - Emulator Console Stream (stdout / stderr) + 模拟器控制台输出（stdout / stderr）
- 
@if (emulatorLaunchState()?.logs?.length) {@for (log of emulatorLaunchState()?.logs; track log) {
{{ log }}
}} @else {
Waiting for process output...
}
+ 
@if (emulatorLaunchState()?.logs?.length) {@for (log of emulatorLaunchState()?.logs; track log) {
{{ log }}
}} @else {
正在等待进程输出…
}
} @@ -910,11 +563,11 @@ error
-

Emulator Launch Failed

+

模拟器启动失败

{{ emulatorLaunchState()?.error || 'The Android emulator process failed to start or crashed during initialization.' }}

- @@ -922,7 +575,7 @@ @if (emulatorLaunchState()?.logs?.length) {
- Process Output / Failure Logs: + 进程输出与错误日志：
@@ -968,13 +621,14 @@
- Android Emulator + Android 模拟器
@if (installedAvds().length > 0) { - {{ installedAvds().length }} local virtual device{{ installedAvds().length > 1 ? 's' : '' }} available + {{ installedAvds().length }} 个本地虚拟设备可用 } @else { - Launch a local Android Virtual Device + + 启动本地 Android 虚拟设备 }
@@ -996,9 +650,9 @@
- USB Cable + USB 连接
- Connect physical phone via USB + 通过 USB 连接实体手机
@@ -1018,9 +672,9 @@
- Wireless ADB + 无线 ADB
- Connect over local Wi-Fi + 通过局域网 Wi-Fi 连接
@@ -1040,9 +694,9 @@
- Remote Computer + 远程计算机
- Phone connected to another computer + 连接其他计算机上的手机
@@ -1056,9 +710,9 @@
hub - Artemis is currently using - {{ adbServerStatus()?.endpoint?.host }}:{{ adbServerStatus()?.endpoint?.port }}. - Switch to local ADB before using a local emulator, USB cable, or Wireless ADB. + + Artemis 当前使用 + {{ adbServerStatus()?.endpoint?.host }}:{{ adbServerStatus()?.endpoint?.port }}。使用本地模拟器、USB 或无线 ADB 前，请先切换至本地 ADB。
@@ -1133,7 +787,7 @@ @@ -1155,7 +809,7 @@ (click)="setEmulatorSetupMode('studio')" > desktop_windows - Android Studio (GUI) + Android Studio（图形界面） @@ -1177,9 +831,9 @@ 1 download -
Install Android Studio
+
安装 Android Studio
- Download for {{ effectiveOs() === 'darwin' ? 'macOS' : (effectiveOs() === 'windows' ? 'Windows' : 'Linux') }} from developer.android.com/studio and install. + Download for {{ effectiveOs() === 'darwin' ? 'macOS' : (effectiveOs() === 'windows' ? 'Windows' : 'Linux') }} from developer.android.com/studio 并安装。
@@ -1188,9 +842,10 @@ 2 developer_mode -
Open Device Manager
+
打开设备管理器
- On Studio welcome screen, open More Actions > Virtual Device Manager (or Tools > Device Manager). + + 在 Android Studio 欢迎页面打开 更多操作 > 虚拟设备管理器 （或 工具 > 设备管理器).
@@ -1199,9 +854,10 @@ 3 add_circle -
Create Virtual Device
+
创建虚拟设备
- Click Create Device, choose Pixel 8, select Android 14 (API 34), and click Finish. + + 点击 创建设备，选择 Pixel 8，选择 Android 14 (API 34)，然后点击 完成.
@@ -1210,9 +866,10 @@ 4 play_arrow -
Launch Emulator
+
启动模拟器
- Click ▶ Play in Device Manager. Artemis will detect and connect to it automatically! + + 点击 ▶ 播放 。Artemis 会自动检测并连接设备。
@@ -1232,7 +889,7 @@ @@ -1241,15 +898,15 @@
2
-
Download Emulator & System Image (API 34)
-

Install Android 14 Google APIs system image using SDK Manager:

+
下载模拟器与系统镜像（API 34）
+

通过 SDK 管理器安装 Android 14 Google APIs 系统镜像：

{{ effectiveOs() === 'windows' ? 'PS>' : '$' }} {{ emuSdkInstallCmd() }}
@@ -1258,15 +915,15 @@
3
-
Create Virtual Device (Pixel 8 AVD)
-

Initialize a new Android Virtual Device named Pixel_8_API_34:

+
创建虚拟设备（Pixel 8 AVD）
+

创建 Android 虚拟设备，名称为 Pixel_8_API_34:

{{ effectiveOs() === 'windows' ? 'PS>' : '$' }} {{ emuCreateAvdCmd() }}
@@ -1275,15 +932,15 @@
4
-
Start the Emulator
-

Launch the virtual device (or add -no-window for headless execution):

+
启动模拟器
+

启动虚拟设备（可添加 -no-window 以无界面模式运行）：

{{ effectiveOs() === 'windows' ? 'PS>' : '$' }} emulator -avd Pixel_8_API_34 -no-boot-anim
@@ -1301,7 +958,7 @@
cable - Connect your Android phone via USB cable and enable USB Debugging: + 通过 USB 数据线连接 Android 手机，并启用 USB 调试：
@@ -1310,8 +967,8 @@ 1 usb
-
Connect USB Cable
-
Plug your Android phone into this computer with a data cable.
+
连接 USB 数据线
+
使用数据线将 Android 手机连接到此计算机。
@@ -1319,9 +976,8 @@ 2 touch_app
-
Enable Developer Options
-
In phone Settings > About Phone, tap Build Number 7 - times.
+
启用开发者选项
+
在手机上打开 设置 > 关于手机，点击 版本号 7 次。
@@ -1329,8 +985,8 @@ 3 toggle_on
-
Enable USB Debugging
-
In Settings > Developer Options, turn USB Debugging ON. +
启用 USB 调试
+
在 设置 > 开发者选项中，将 USB 调试 开启。
@@ -1339,8 +995,8 @@ 4 verified_user
-
Authorize Computer
-
Check "Always allow" and tap Allow on the phone prompt. +
授权计算机
+
勾选 “始终允许” ，然后点击 允许 完成手机上的授权提示。
@@ -1352,44 +1008,44 @@
wifi - Connect your phone and computer on the same Wi-Fi network: + 将手机和计算机连接到同一 Wi-Fi 网络：
- +
- +
router + placeholder="例如：192.168.1.108" spellcheck="false" />
- +
- +
tag
- +
- + @if (wifiConnectMessage()) {
check_circle @@ -1406,7 +1062,8 @@
help_outline
- Find IP & port in phone Settings > Developer Options > Wireless Debugging. + + 在手机中查看 IP 地址与端口： 设置 > 开发者选项 > 无线调试.
@@ -1417,13 +1074,13 @@
hub - Enter the host and port of an ADB server endpoint that this computer can access, so Artemis can discover and control a phone physically connected to another computer. + 输入本机可访问的 ADB 服务器地址和端口，即可发现并控制连接在其他计算机上的手机。
- +
dns
- +
tag @if (isConnectingRemoteAdb()) { sync - Checking... + 正在检查… } @else { bolt - Test Connection + 测试连接 }
@@ -1481,7 +1138,7 @@ [ngModel]="rememberRemoteAdb()" (ngModelChange)="rememberRemoteAdb.set($event)" /> - Remember this endpoint for future Artemis launches + 保存此地址，供后续启动使用 @if (remoteAdbMessage()) { @@ -1507,7 +1164,7 @@ {{ device.serial }}
- {{ device.state === 'device' ? 'Ready' : device.state }} + {{ device.state === 'device' ? '就绪' : device.state }}
} @@ -1523,17 +1180,18 @@ > @if (isActivatingRemoteAdb()) { sync - Connecting... + 正在连接… } @else { check - {{ remoteAdbHasReadyDevice() ? 'Use Connection' : 'Use Anyway' }} + {{ remoteAdbHasReadyDevice() ? '使用此连接' : '仍然使用' }} } }

- Artemis sends all ADB commands to this server instead of the default local server. Any phone visible to that server becomes available to Artemis. + + Artemis 将向此服务器发送 ADB 命令，并使用该服务器能够发现的手机。

} @@ -1556,14 +1214,14 @@
@if (connectedDevices().length > 1) {
- Select Active Device: + 选择当前设备：
@for (dev of connectedDevices(); track dev.serial) { } @@ -1593,14 +1251,15 @@
screen_lock_portrait
-
USB Debugging Authorization Pending
+
等待 USB 调试授权
- Your Android device was detected, but it requires authorization. Please unlock your phone screen and tap "Allow USB Debugging". + + 已检测到 Android 设备，但尚未授权。请解锁手机并点击 “允许 USB 调试”.
@@ -1612,7 +1271,7 @@
error
- Android Platform Tools (adb) not found. Please install ADB on your operating system: + 未找到 Android 平台工具（adb）。 请在当前操作系统中安装 ADB：
@@ -1621,7 +1280,7 @@
Linux (Ubuntu / Debian) @if (effectiveOs() === 'linux') { - Detected + 已检测到 }
@@ -1630,7 +1289,7 @@
@@ -1639,7 +1298,7 @@
macOS (Homebrew) @if (effectiveOs() === 'darwin') { - Detected + 已检测到 }
@@ -1648,7 +1307,7 @@
@@ -1657,7 +1316,7 @@
Windows (WinGet) @if (effectiveOs() === 'windows') { - Detected + 已检测到 }
@@ -1666,7 +1325,7 @@
@@ -1685,12 +1344,12 @@ check
-

System Ready for Autonomous Tasks

-

All dependencies, AI model credentials, and Android device are verified and ready to run.

+

系统已就绪，可以开始自动化任务

+

依赖、模型凭据和 Android 设备均已就绪。

@@ -1711,8 +1370,8 @@ {{ adbProbe()?.summary === 'Device Locked' ? 'lock' : 'warning' }} {{ adbProbe()?.summary === 'Device Locked' - ? 'Android device is locked. Unlock it and enter the home screen before running a task.' - : 'Prerequisites incomplete: runtime, credentials, or Android device is not ready. Click here to open Setup Guide.' }} + ? 'Android 设备已锁定，请先解锁并进入主屏幕。' + : '运行环境、模型凭据或 Android 设备尚未就绪。点击此处打开系统设置。' }} arrow_forward @@ -1720,18 +1379,19 @@
- + @if (showIntentSuggestion()) {
auto_awesome - Continuous monitoring or complex task detected. Recommended: Pro Mode + + 检测到持续监控或复杂任务，建议使用： Pro 专业模式
@@ -1745,7 +1405,7 @@ rows="3" [(ngModel)]="taskGoal" [disabled]="isSubmitting()" - placeholder="Describe what you want to achieve on your phone (e.g. Open Gmail and search for latest emails)..." + placeholder="描述你希望在手机上完成的任务，例如：打开 Gmail 并查找最新邮件…" (keydown.control.enter)="runTask()" (keydown.meta.enter)="runTask()" > @@ -1761,14 +1421,14 @@

Flash · - Token-efficient, rapid 3–5s/step decisions straight from the live screen. Best for everyday tasks with a clear path, however long they run. - (No plan, no result check, no ADB commands) + 节省 Token，快速响应 每步 3–5 秒 直接根据实时屏幕执行操作，适合路径明确的日常任务。 + （不规划、不检查结果、不执行 ADB 命令）

} @else {

Pro · - Plans first, checks its results and recovers when a tap is blocked. Handles 100+ step workflows and live phone monitoring (15–40s / step). + 先规划、再检查结果，遇到操作受阻时自动恢复。支持 超过 100 步的 工作流和实时手机监控（15–40 秒 / 步）。

}
@@ -1792,7 +1452,7 @@ class="model-toggle-btn btn-flash" [class.active]="selectedProfile() === 'flash'" (click)="setProfile('flash')" - title="Flash: fast single-look loop for everyday app tasks (3–5s/step)" + title="Flash：快速执行日常应用任务（每步 3–5 秒）" > bolt Flash @@ -1802,7 +1462,7 @@ class="model-toggle-btn btn-pro" [class.active]="selectedProfile() === 'pro'" (click)="setProfile('pro')" - title="Pro: plans first, checks results and recovers from blocked steps. For long or complex tasks (15–40s/step)" + title="Pro：先规划、检查结果并恢复受阻步骤，适合长流程或复杂任务（每步 15–40 秒）" > psychology Pro @@ -1821,13 +1481,13 @@ class="btn-run-composer" [class.btn-run-pro]="selectedProfile() === 'pro'" [disabled]="!taskGoal().trim() || isSubmitting() || !isReady()" - [title]="!isReady() ? (adbProbe()?.summary === 'Device Locked' ? 'Unlock the Android device before running' : 'Complete System Setup before running') : 'Run task'" + [title]="!isReady() ? (adbProbe()?.summary === 'Device Locked' ? '请先解锁 Android 设备' : '请先完成系统设置') : '执行任务'" (click)="runTask()" > @if (isSubmitting()) { - Starting... + 正在启动… } @else { - play_arrowRun Task + play_arrow执行任务 } @@ -1838,8 +1498,8 @@ @if (selectedProfile() === 'pro') {
- Expected Output - (Optional) + 预期输出 + （可选）
@@ -1856,7 +1516,7 @@ type="button" class="btn-clear-standalone" (click)="expectedOutput.set('')" - title="Clear expected output" + title="清空预期输出" > close @@ -1867,9 +1527,9 @@
- Pro settings + Pro 设置 @if (!isTuningDefault()) { - + }
@@ -1949,7 +1609,7 @@

{{ slider.level.tagline }}

- What happens + 运行方式
    @for (line of slider.level.runs; track $index) {
  • {{ line }}
    • @@ -1958,7 +1618,7 @@
@if (slider.level.skips?.length) {
- Not included + 不包含的能力
    @for (line of slider.level.skips; track $index) {
  • {{ line }}
    • @@ -1967,7 +1627,7 @@
}
- Use it for + 适用场景 {{ slider.level.bestFor }}
@@ -1986,7 +1646,7 @@
auto_awesome - Recommended Tasks + 推荐任务
@@ -1997,7 +1657,7 @@ [class.active]="selectedCategory() === 'all'" (click)="setCategory('all')" > - All + 全部
-
@@ -2071,7 +1731,7 @@ + [title]="item.profile === 'pro' ? '使用 ARTEMIS Pro：多智能体协作' : '使用 ARTEMIS Flash：快速执行'"> {{ item.profile === 'pro' ? 'Pro' : 'Flash' }} @@ -2086,7 +1746,7 @@
{{ item.tag }}
- Use + 使用 arrow_forward
diff --git a/apps/showcase_ui/src/app/pages/home/home.component.ts b/apps/showcase_ui/src/app/pages/home/home.component.ts index e189b9c..6667d1e 100644 --- a/apps/showcase_ui/src/app/pages/home/home.component.ts +++ b/apps/showcase_ui/src/app/pages/home/home.component.ts @@ -1,3 +1,5 @@ +import { CapabilitySettingsComponent } from '../../components/model-settings/capability-settings.component'; +import { ModelSettingsComponent } from '../../components/model-settings/model-settings.component'; /** * Copyright 2026 Google LLC * @@ -14,9 +16,9 @@ * limitations under the License. */ -import { Component, signal, computed, effect, inject, OnInit, OnDestroy, ChangeDetectionStrategy } from '@angular/core'; +import { Component, signal, computed, inject, OnInit, OnDestroy, ChangeDetectionStrategy } from '@angular/core'; import { FormsModule } from '@angular/forms'; -import { Router, RouterLink } from '@angular/router'; +import { Router } from '@angular/router'; import { AgentService } from '../../services/agent.service'; import { SystemService } from '../../services/system.service'; import { @@ -103,7 +105,7 @@ type AdbGuideTab = 'emulator' | 'usb' | 'wifi' | 'remote'; @Component({ selector: 'app-home', standalone: true, - imports: [FormsModule], + imports: [FormsModule, ModelSettingsComponent, CapabilitySettingsComponent], templateUrl: './home.component.html', changeDetection: ChangeDetectionStrategy.Eager, styleUrl: './home.component.scss' @@ -121,32 +123,6 @@ export class HomeComponent implements OnInit, OnDestroy { public activeAdbGuideTab = signal('emulator'); public emulatorSetupMode = signal<'studio' | 'cli'>('studio'); - // Interactive guide tab for LLM / OCR credentials: 'gemini' | 'ocr' - public modelSetupMode = signal<'gemini' | 'custom'>('gemini'); - public showOcrConfig = signal(false); - public showFullConfigFile = signal(false); - - // Model & Environment configuration from backend - public modelConfigEnv = computed(() => this.systemService.modelConfigEnv()); - - // Google Gemini API Key State - public geminiKeyInput = signal(''); - public showGeminiKey = signal(false); - public isSavingGeminiKey = signal(false); - public isTestingGeminiKey = signal(false); - public geminiSaveMessage = signal(null); - public geminiSaveError = signal(null); - public isGeminiKeyEdited = signal(false); - - // Vision OCR API Key State - public ocrKeyInput = signal(''); - public showOcrKey = signal(false); - public isSavingOcrKey = signal(false); - public isTestingOcrKey = signal(false); - public ocrSaveMessage = signal(null); - public ocrSaveError = signal(null); - public isOcrKeyEdited = signal(false); - // Clipboard copy state tracker for interactive feedback public copiedId = signal(null); @@ -198,7 +174,6 @@ export class HomeComponent implements OnInit, OnDestroy { // Pro Mode Outputter & Structured Output Configuration public expectedOutput = signal(''); - public enableOutputter = signal(true); public showOutputterDrawer = signal(false); // Slider indexes map to the API ids in VERIFICATION_LEVELS / EXPLORER_MODES. @@ -238,8 +213,8 @@ export class HomeComponent implements OnInit, OnDestroy { return [ { kind: 'verify', - name: 'Result check', - ends: ['Off', 'Strict'], + name: "结果检查", + ends: ["关闭", "严格检查"], ladder: VERIFICATION_LEVELS, index: vi, level: VERIFICATION_LEVELS[vi], @@ -247,8 +222,8 @@ export class HomeComponent implements OnInit, OnDestroy { }, { kind: 'explore', - name: 'Screen reading', - ends: ['Faster', 'Sharper'], + name: "屏幕识别", + ends: ["更快", "更精细"], ladder: EXPLORER_MODES, index: ei, level: EXPLORER_MODES[ei], @@ -352,13 +327,13 @@ export class HomeComponent implements OnInit, OnDestroy { public emulatorLaunchState = computed(() => this.systemService.emulatorLaunchState()); public isEmulatorLaunching = computed(() => this.systemService.isEmulatorLaunching()); public showLaunchLogs = signal(false); - + // Probes public pythonProbe = computed(() => this.systemService.pythonProbe()); public configProbe = computed(() => this.systemService.configProbe()); public adbProbe = computed(() => this.systemService.adbProbe()); public llmProbe = computed(() => this.systemService.llmProbe()); - public geminiProbe = computed(() => this.systemService.geminiProbe()); + public openaiProbe = computed(() => this.systemService.openaiProbe()); public ocrProbe = computed(() => this.systemService.ocrProbe()); public toolchainProbe = computed(() => this.systemService.toolchainProbe()); @@ -426,16 +401,16 @@ export class HomeComponent implements OnInit, OnDestroy { public emuHypervisorTitle = computed(() => { const os = this.effectiveOs(); - if (os === 'windows') return 'Enable Windows Hypervisor Platform (WHPX)'; - if (os === 'darwin') return 'Verify macOS Hypervisor / Install Tools'; - return 'Enable KVM Hardware Acceleration (Linux)'; + if (os === 'windows') return "启用 Windows 虚拟机监控程序平台（WHPX）"; + if (os === 'darwin') return "检查 macOS 虚拟化并安装工具"; + return "启用 KVM 硬件加速（Linux）"; }); public emuHypervisorDesc = computed(() => { const os = this.effectiveOs(); - if (os === 'windows') return 'Enable Windows Hypervisor Platform in PowerShell (Run as Administrator):'; - if (os === 'darwin') return 'macOS uses native Hypervisor.framework. Install SDK tools via Homebrew (or Studio):'; - return 'Ensure virtualization permissions are granted to your user account:'; + if (os === 'windows') return "以管理员身份打开 PowerShell，启用 Windows 虚拟机监控程序平台："; + if (os === 'darwin') return "macOS 使用系统 Hypervisor.framework。通过 Homebrew 或 Android Studio 安装 SDK 工具："; + return "确保当前用户拥有虚拟化权限："; }); public emuHypervisorCmd = computed(() => { @@ -467,27 +442,6 @@ export class HomeComponent implements OnInit, OnDestroy { return meta?.['configured'] === true; }); - public currentApiKey = computed(() => this.systemService.currentApiKey()); - public apiKeysMap = computed>(() => this.systemService.apiKeysMap()); - - public savedGeminiKey = computed(() => { - const keys = this.apiKeysMap(); - return keys['google'] || this.currentApiKey() || ''; - }); - - public isGeminiModified = computed(() => { - return this.geminiKeyInput().trim() !== this.savedGeminiKey().trim(); - }); - - public savedOcrKey = computed(() => { - const keys = this.apiKeysMap(); - return keys['ocr'] || ''; - }); - - public isOcrModified = computed(() => { - return this.ocrKeyInput().trim() !== this.savedOcrKey().trim(); - }); - // Rich Smart Suggestions Library (Device-Aware, Flash vs Pro Tailored) public readonly allSuggestions = this.taskRecService.allTasks; @@ -520,21 +474,6 @@ export class HomeComponent implements OnInit, OnDestroy { this.systemService.fetchReadiness().subscribe(); }; - constructor() { - effect(() => { - const keys = this.systemService.apiKeysMap(); - const current = this.systemService.currentApiKey(); - const googleKey = keys['google'] || current || ''; - const ocrKey = keys['ocr'] || ''; - if (!this.isGeminiKeyEdited()) { - this.geminiKeyInput.set(googleKey); - } - if (!this.isOcrKeyEdited()) { - this.ocrKeyInput.set(ocrKey); - } - }); - } - ngOnInit(): void { this.loadProTuningDefaults(); @@ -581,234 +520,15 @@ export class HomeComponent implements OnInit, OnDestroy { this.emulatorSetupMode.set(mode); } - public setModelSetupMode(mode: 'gemini' | 'custom'): void { - this.modelSetupMode.set(mode); - if (mode === 'custom') { - this.systemService.setSkipCredentialsCheck(true); - this.systemService.fetchModelConfigEnv().subscribe(); - } else { - this.systemService.setSkipCredentialsCheck(false); - } - } - public toggleFullConfigFile(): void { - this.showFullConfigFile.update(v => !v); - } - public toggleGeminiKeyVisibility(): void { - this.showGeminiKey.update(v => !v); - } - public toggleOcrKeyVisibility(): void { - this.showOcrKey.update(v => !v); - } - public toggleOcrConfig(): void { - this.showOcrConfig.update(v => !v); - } - - public onGeminiKeyChange(val: string): void { - this.geminiKeyInput.set(val); - this.isGeminiKeyEdited.set(true); - this.geminiSaveError.set(null); - this.geminiSaveMessage.set(null); - } - - public onOcrKeyChange(val: string): void { - this.ocrKeyInput.set(val); - this.isOcrKeyEdited.set(true); - this.ocrSaveError.set(null); - this.ocrSaveMessage.set(null); - } - - public saveGeminiKey(): void { - const key = this.geminiKeyInput().trim(); - if (!key) return; - this.isSavingGeminiKey.set(true); - this.geminiSaveError.set(null); - this.geminiSaveMessage.set(null); - - this.systemService.updateApiKey('google', key, true).subscribe({ - next: (res) => { - this.isSavingGeminiKey.set(false); - this.isGeminiKeyEdited.set(false); - this.geminiSaveMessage.set(res?.message || '✓ Gemini API key verified & saved successfully.'); - setTimeout(() => this.geminiSaveMessage.set(null), 5000); - }, - error: (err) => { - this.isSavingGeminiKey.set(false); - this.geminiSaveError.set(err?.error?.detail || err?.message || 'Failed to update Gemini API key.'); - } - }); - } - - public clearGeminiKey(): void { - this.geminiKeyInput.set(''); - this.isGeminiKeyEdited.set(false); - this.geminiSaveError.set(null); - this.geminiSaveMessage.set(null); - - if (this.savedGeminiKey().trim()) { - this.isSavingGeminiKey.set(true); - this.systemService.updateApiKey('google', '', true).subscribe({ - next: (res) => { - this.isSavingGeminiKey.set(false); - this.geminiSaveMessage.set(res?.message || '✓ Gemini API key cleared.'); - setTimeout(() => this.geminiSaveMessage.set(null), 5000); - }, - error: (err) => { - this.isSavingGeminiKey.set(false); - this.geminiSaveError.set(err?.error?.detail || err?.message || 'Failed to clear Gemini API key.'); - } - }); - } else { - this.geminiSaveMessage.set('✓ Gemini API key cleared.'); - setTimeout(() => this.geminiSaveMessage.set(null), 3000); - } - } - - public saveOcrKey(): void { - const key = this.ocrKeyInput().trim(); - if (!key) return; - this.isSavingOcrKey.set(true); - this.ocrSaveError.set(null); - this.ocrSaveMessage.set(null); - - this.systemService.updateApiKey('ocr', key, true).subscribe({ - next: (res) => { - this.isSavingOcrKey.set(false); - this.isOcrKeyEdited.set(false); - this.ocrSaveMessage.set(res?.message || '✓ Vision OCR API key verified & saved.'); - setTimeout(() => this.ocrSaveMessage.set(null), 5000); - }, - error: (err) => { - this.isSavingOcrKey.set(false); - this.ocrSaveError.set(err?.error?.detail || err?.message || 'Failed to update Vision OCR key.'); - } - }); - } - - public clearOcrKey(): void { - this.ocrKeyInput.set(''); - this.isOcrKeyEdited.set(false); - this.ocrSaveError.set(null); - this.ocrSaveMessage.set(null); - - if (this.savedOcrKey().trim()) { - this.isSavingOcrKey.set(true); - this.systemService.updateApiKey('ocr', '', true).subscribe({ - next: (res) => { - this.isSavingOcrKey.set(false); - this.ocrSaveMessage.set(res?.message || '✓ Vision OCR API key cleared.'); - setTimeout(() => this.ocrSaveMessage.set(null), 5000); - }, - error: (err) => { - this.isSavingOcrKey.set(false); - this.ocrSaveError.set(err?.error?.detail || err?.message || 'Failed to clear Vision OCR key.'); - } - }); - } else { - this.ocrSaveMessage.set('✓ Vision OCR API key cleared.'); - setTimeout(() => this.ocrSaveMessage.set(null), 3000); - } - } - - public testGeminiKey(): void { - const key = this.geminiKeyInput().trim(); - if (!key) return; - this.isTestingGeminiKey.set(true); - this.geminiSaveError.set(null); - this.geminiSaveMessage.set(null); - - this.systemService.testApiKey('google', key).subscribe({ - next: (res) => { - this.isTestingGeminiKey.set(false); - if (res?.valid) { - this.geminiSaveMessage.set(res?.message || '✓ Gemini API key is valid!'); - } else { - this.geminiSaveError.set(res?.message || 'Gemini API key verification failed.'); - } - setTimeout(() => this.geminiSaveMessage.set(null), 5000); - }, - error: (err) => { - this.isTestingGeminiKey.set(false); - this.geminiSaveError.set(err?.error?.detail || err?.message || 'Gemini API key test failed.'); - } - }); - } - - public testOcrKey(): void { - const key = this.ocrKeyInput().trim(); - if (!key) return; - this.isTestingOcrKey.set(true); - this.ocrSaveError.set(null); - this.ocrSaveMessage.set(null); - - this.systemService.testApiKey('ocr', key).subscribe({ - next: (res) => { - this.isTestingOcrKey.set(false); - if (res?.valid) { - this.ocrSaveMessage.set(res?.message || '✓ Vision OCR API key is valid!'); - } else { - this.ocrSaveError.set(res?.message || 'Vision OCR API key verification failed.'); - } - setTimeout(() => this.ocrSaveMessage.set(null), 5000); - }, - error: (err) => { - this.isTestingOcrKey.set(false); - this.ocrSaveError.set(err?.error?.detail || err?.message || 'Vision OCR API key test failed.'); - } - }); - } - - public getProviderDisplayName(tab: string): string { - switch (tab) { - case 'gemini': return 'Gemini'; - case 'ocr': return 'Vision OCR'; - default: return tab; - } - } - - public getProviderEnvVar(tab: string): string { - switch (tab) { - case 'gemini': return 'GEMINI_API_KEY'; - case 'ocr': return 'GOOGLE_VISION_API_KEY'; - default: return 'API_KEY'; - } - } - - public getProviderHint(tab: string): string { - switch (tab) { - case 'gemini': - return 'For a quick start, Google Gemini provides a free API key. Artemis also supports other models (OpenAI, Claude, OpenRouter, etc.)—you can configure your own API keys directly in .env or your environment.'; - case 'ocr': - return 'Google Cloud Vision API key for on-screen OCR text detection and UI grounding.'; - default: - return 'Configure your API key or use environment definitions.'; - } - } public skipCredentialsCheck(): void { this.systemService.skipCredentialsCheck(); } - public getApiKeyPlaceholder(tab: string): string { - switch (tab) { - case 'gemini': return 'Enter Gemini API Key (e.g. AIzaSy...)'; - case 'ocr': return 'Enter Vision OCR API Key (e.g. AIzaSy...)'; - default: return 'Enter API Key...'; - } - } - - public isTabProviderActive(tab: string): boolean { - if (tab === 'ocr') { - return this.isOcrConfigured(); - } - const targetProvider = tab === 'gemini' ? 'google' : tab; - const providers = this.configuredLlmProviders(); - return providers.some(p => p.provider === targetProvider); - } - public refreshReadiness(): void { this.isRefreshingDiagnostics.set(true); this.systemService.fetchReadiness(false, true).subscribe({ @@ -829,12 +549,12 @@ export class HomeComponent implements OnInit, OnDestroy { this.systemService.restartAdb().subscribe({ next: (res) => { this.adbRestartFeedback.set( - res?.restart_result?.skipped ? 'Devices Refreshed ✓' : 'ADB Refreshed ✓' + res?.restart_result?.skipped ? "设备已刷新 ✓" : "ADB 已刷新 ✓" ); setTimeout(() => this.adbRestartFeedback.set(null), 2500); }, error: () => { - this.adbRestartFeedback.set('Restart Failed'); + this.adbRestartFeedback.set("重启失败"); setTimeout(() => this.adbRestartFeedback.set(null), 3000); } }); @@ -842,7 +562,7 @@ export class HomeComponent implements OnInit, OnDestroy { public connectWifiDevice(): void { if (this.isRemoteAdbServer()) { - this.wifiConnectError.set('Switch to local ADB before connecting a Wireless ADB device.'); + this.wifiConnectError.set("连接无线设备前，请先切换至本地 ADB。"); return; } const host = this.wifiHost().trim(); @@ -850,7 +570,7 @@ export class HomeComponent implements OnInit, OnDestroy { const port = parseInt(portStr, 10) || 5555; if (!host) { - this.wifiConnectError.set('Please enter a valid IP address.'); + this.wifiConnectError.set("请输入有效的 IP 地址。"); return; } @@ -863,15 +583,15 @@ export class HomeComponent implements OnInit, OnDestroy { this.isConnectingWifi.set(false); const cr = res?.connect_result; if (cr?.success) { - this.wifiConnectMessage.set(`Connected to ${host}:${port}!`); + this.wifiConnectMessage.set(`已连接至 ${host}:${port}!`); setTimeout(() => this.wifiConnectMessage.set(null), 4000); } else { - this.wifiConnectError.set(cr?.message || 'Connection failed. Please check phone IP & Wi-Fi.'); + this.wifiConnectError.set(cr?.message || "连接失败，请检查手机 IP 地址和 Wi-Fi。"); } }, error: (err) => { this.isConnectingWifi.set(false); - this.wifiConnectError.set(err?.error?.detail || 'Failed to connect. Please check adb connection.'); + this.wifiConnectError.set(err?.error?.detail || "连接失败，请检查 ADB 连接。"); } }); } @@ -881,11 +601,11 @@ export class HomeComponent implements OnInit, OnDestroy { const port = Number(this.remoteAdbPort().trim()); if (!host) { - this.remoteAdbError.set('Enter the host name or IP address of the ADB server.'); + this.remoteAdbError.set("请输入 ADB 服务器的主机名或 IP 地址。"); return; } if (!Number.isInteger(port) || port < 1 || port > 65535) { - this.remoteAdbError.set('Enter a port between 1 and 65535.'); + this.remoteAdbError.set("请输入 1–65535 之间的端口。"); return; } @@ -910,7 +630,7 @@ export class HomeComponent implements OnInit, OnDestroy { error: error => { this.isConnectingRemoteAdb.set(false); this.remoteAdbError.set( - error?.error?.detail || 'Unable to test the ADB server endpoint.' + error?.error?.detail || "无法测试 ADB 服务器连接。" ); } }); @@ -919,7 +639,7 @@ export class HomeComponent implements OnInit, OnDestroy { public activateRemoteAdbServer(): void { const tested = this.remoteAdbProbeResult(); if (!tested?.success) { - this.remoteAdbError.set('Test the endpoint before using it.'); + this.remoteAdbError.set("请先测试服务器连接。"); return; } @@ -944,7 +664,7 @@ export class HomeComponent implements OnInit, OnDestroy { error: error => { this.isActivatingRemoteAdb.set(false); this.remoteAdbError.set( - error?.error?.detail || 'Unable to use the ADB server endpoint.' + error?.error?.detail || "无法使用此 ADB 服务器。" ); } }); @@ -979,7 +699,7 @@ export class HomeComponent implements OnInit, OnDestroy { error: error => { this.isSwitchingToLocalAdb.set(false); this.remoteAdbError.set( - error?.error?.detail || 'Unable to switch back to the local ADB server.' + error?.error?.detail || "无法切换回本地 ADB 服务器。" ); } }); @@ -1069,12 +789,12 @@ export class HomeComponent implements OnInit, OnDestroy { public runTask(): void { const goal = this.taskGoal().trim(); if (!goal) { - this.errorMessage.set('Please enter a task goal before running.'); + this.errorMessage.set("请先输入任务目标。"); return; } if (!this.isReady()) { - this.errorMessage.set('System prerequisites are not satisfied. Please review System Setup first.'); + this.errorMessage.set("运行条件尚未满足，请先检查系统设置。"); this.activeTab.set('diagnostics'); return; } @@ -1089,7 +809,7 @@ export class HomeComponent implements OnInit, OnDestroy { this.selectedProfile() === 'pro' && this.expectedOutput().trim() ? this.expectedOutput().trim() : undefined, - this.selectedProfile() === 'pro' ? this.enableOutputter() : undefined, + undefined, this.selectedProfile() === 'pro' ? { verificationLevel: this.verificationLevel().id, explorerMode: this.explorerMode().id } : undefined @@ -1103,7 +823,7 @@ export class HomeComponent implements OnInit, OnDestroy { console.error('Failed to submit task from home page:', err); this.isSubmitting.set(false); this.errorMessage.set( - err?.error?.detail || 'Failed to submit task. Please check server connection.' + err?.error?.detail || "提交任务失败，请检查服务器连接。" ); } }); diff --git a/apps/showcase_ui/src/app/pages/workspace/workspace.component.html b/apps/showcase_ui/src/app/pages/workspace/workspace.component.html index a44cd84..fedc937 100644 --- a/apps/showcase_ui/src/app/pages/workspace/workspace.component.html +++ b/apps/showcase_ui/src/app/pages/workspace/workspace.component.html @@ -27,7 +27,7 @@ limitations under the License.
error {{ errorMessage() }} -
@@ -89,7 +89,7 @@ limitations under the License.
- Start a new task... + 开始新任务…
@@ -104,7 +104,7 @@ limitations under the License. (blur)="onInputBlur()" rows="1" [disabled]="isSubmitting()" - [placeholder]="selectedProfile() === 'pro' + [placeholder]="selectedProfile() === 'pro' ? 'Pro: plans first, checks results and recovers from blocked steps. For long or complex tasks' : 'Flash: fast single-look loop for everyday app tasks'" class="dock-textarea" @@ -115,7 +115,7 @@ limitations under the License. @if (taskInput.trim() && !isSubmitting()) { } @@ -137,7 +137,7 @@ limitations under the License. [disabled]="!taskInput.trim() || isSubmitting()" (click)="submitTask()" [title]="isSubmitting() ? 'Starting task...' : 'Start task (Enter)'" - aria-label="Start task" + aria-label="开始任务" > @if (isSubmitting()) { sync @@ -152,16 +152,16 @@ limitations under the License.
-
+
diff --git a/apps/showcase_ui/src/app/pages/workspace/workspace.component.ts b/apps/showcase_ui/src/app/pages/workspace/workspace.component.ts index 2ecb521..e893e55 100644 --- a/apps/showcase_ui/src/app/pages/workspace/workspace.component.ts +++ b/apps/showcase_ui/src/app/pages/workspace/workspace.component.ts @@ -112,13 +112,13 @@ export class WorkspaceComponent implements OnInit { const truncated = session.initial_goal.length > 45 ? session.initial_goal.substring(0, 42) + '...' : session.initial_goal; - return `Stop current task: "${truncated}"`; + return `停止当前任务："${truncated}"`; } const curId = this.agentService.currentSessionId(); if (curId) { - return `Stop current task (${curId})`; + return `停止当前任务（${curId})`; } - return 'Stop current running task'; + return "停止当前任务"; }); /** @@ -244,7 +244,7 @@ export class WorkspaceComponent implements OnInit { error: (err) => { console.error('Failed to submit task:', err); this.isSubmitting.set(false); - this.errorMessage.set(err.error?.detail || 'The runner is busy. Please wait for current task to finish.'); + this.errorMessage.set(err.error?.detail || "执行器忙碌，请等待当前任务结束。"); setTimeout(() => { this.errorMessage.set(null); }, 5000); diff --git a/apps/showcase_ui/src/app/services/agent.service.spec.ts b/apps/showcase_ui/src/app/services/agent.service.spec.ts index c17e334..69e41b0 100644 --- a/apps/showcase_ui/src/app/services/agent.service.spec.ts +++ b/apps/showcase_ui/src/app/services/agent.service.spec.ts @@ -356,8 +356,8 @@ describe('AgentService task cancellation and active session tracking', () => { // 2. Completed session selected -> false service.rawSessions.set([ - { session_id: 'sess-completed', status: 'completed', initial_goal: 'Done', start_time: 100 }, - { session_id: 'sess-running', status: 'running', initial_goal: 'Running', start_time: 101 } + { session_id: 'sess-completed', status: 'completed', initial_goal: '完成', start_time: 100 }, + { session_id: 'sess-running', status: 'running', initial_goal: '执行中', start_time: 101 } ]); service.currentSessionId.set('sess-completed'); expect(service.isCurrentSessionRunning()).toBeFalse(); @@ -368,7 +368,7 @@ describe('AgentService task cancellation and active session tracking', () => { // 4. Paused session selected -> true service.rawSessions.set([ - { session_id: 'sess-paused', status: 'paused', initial_goal: 'Paused', start_time: 102 } + { session_id: 'sess-paused', status: 'paused', initial_goal: '已暂停', start_time: 102 } ]); service.currentSessionId.set('sess-paused'); expect(service.isCurrentSessionRunning()).toBeTrue(); diff --git a/apps/showcase_ui/src/app/services/agent.service.ts b/apps/showcase_ui/src/app/services/agent.service.ts index b063c99..a49807c 100644 --- a/apps/showcase_ui/src/app/services/agent.service.ts +++ b/apps/showcase_ui/src/app/services/agent.service.ts @@ -425,7 +425,7 @@ export class AgentService { return new Observable((obs) => { const submittedEvent: StartupProgressEvent = { stage: 'submitting', - message: 'Submitting the task', + message: "正在提交任务", timestamp: Date.now() / 1000 }; this.pendingStartupProgress.set([submittedEvent]); @@ -655,7 +655,7 @@ export class AgentService { obs.complete(); }, error: (err) => { - console.error(`Failed to delete session ${sessionId}:`, err); + console.error(`删除会话失败：${sessionId}:`, err); this.fetchSessions(); this.fetchStatus(); obs.error(err); @@ -828,7 +828,7 @@ export class AgentService { this.activeVideoSegments.set([]); this.recordingPlaybackStatus.set('failed'); this.recordingPlaybackMessage.set( - parsedData?.error || 'Recording finalization failed.' + parsedData?.error || "录屏收尾失败。" ); } } @@ -929,9 +929,9 @@ export class AgentService { const attempt = Number(parsedData.attempt || 0); const max = Number(parsedData.max_retries || 0); const delay = Number(parsedData.delay || 0); - const attemptText = attempt && max ? ` (Attempt ${attempt}/${max})` : ''; - const delayText = delay > 0 ? `; retrying in ${delay.toFixed(2).replace(/\.00$/, '')}s` : ''; - this.retryMessage.set(`AI service is temporarily busy${attemptText}${delayText}...`); + const attemptText = attempt && max ? `（第 ${attempt}/${max})` : ''; + const delayText = delay > 0 ? `；重试等待 ${delay.toFixed(2).replace(/\.00$/, '')}s` : ''; + this.retryMessage.set(`AI 服务暂时繁忙${attemptText}${delayText}...`); if (curId) { this.appendLiveLLMRetryTrace(parsedData, curId); } @@ -945,7 +945,7 @@ export class AgentService { if (curId) { this.runningSessionId.set(curId); this.setSessionStatus(curId, 'paused'); - const pauseError = parsedData.error || 'AI call failed'; + const pauseError = parsedData.error || "模型调用失败"; this.pausedError.set(pauseError); this.appendPausedErrorCard( pauseError, @@ -1522,7 +1522,7 @@ export class AgentService { this.isRetrying.set(false); const pauseError = data.paused_error || this.pausedError() - || 'AI model request failed. The task is paused.'; + || "模型请求失败，任务已暂停。"; this.pausedError.set(pauseError); if (data.session_id && this.currentSessionId() === data.session_id) { this.appendPausedErrorCard(pauseError, data.session_id); @@ -1563,7 +1563,7 @@ export class AgentService { this.lastActiveTasksSignature = activeTasksSignature; this.activeTasks.set(data.active_tasks || []); } - + if (oldStatus !== data.status || oldRunningSessionId !== data.session_id) { this.fetchSessions(); } @@ -1677,8 +1677,8 @@ export class AgentService { attempt_id: attemptId, checkpoint_id: checkpointId, subgoal_text: String(rec.subgoal_text || (checkpointId === 'final' - ? "Final review against the user's original goal" - : `Subgoal ${checkpointId.slice(0, 8)}`)), + ? "根据用户原始目标进行最终检查" + : `子目标 ${checkpointId.slice(0, 8)}`)), anchor_step_id: rec.anchor_step_id ?? null, trace_id: rec.trace_id ?? null, status: 'done', @@ -1749,7 +1749,7 @@ export class AgentService { next: (res) => { if (res && res.notes) { this.currentNotes.set(res.notes); - + // Default to task_plan.md if available, otherwise first note const keys = Object.keys(res.notes); if (keys.length > 0) { @@ -1783,7 +1783,7 @@ export class AgentService { const targetSessionId = sessionId || this.currentSessionId(); const session = this.sessions().find(s => s.session_id === targetSessionId); const targetUrl = videoUrl || session?.video_url || null; - const goalTitle = title || session?.initial_goal || (targetSessionId ? `Task: ${targetSessionId.slice(0, 8)}...` : 'Screen Recording'); + const goalTitle = title || session?.initial_goal || (targetSessionId ? `任务：${targetSessionId.slice(0, 8)}...` : "屏幕录像"); this.activeVideoTitle.set(goalTitle); this.isVideoWindowOpen.set(true); @@ -1818,7 +1818,7 @@ export class AgentService { this.videoWaitStartedAt = Date.now(); this.isVideoLoading.set(true); this.recordingPlaybackStatus.set('processing'); - this.recordingPlaybackMessage.set('Loading screen recording...'); + this.recordingPlaybackMessage.set("正在加载屏幕录像…"); if (targetUrl) { this.playerMode?.set('video'); } else if (this.hasCurrentSessionStepFrames?.()) { @@ -1870,7 +1870,7 @@ export class AgentService { this.shouldAutoplayVideo.set(true); this.isVideoLoading.set(true); this.recordingPlaybackStatus.set('processing'); - this.recordingPlaybackMessage.set('Finalizing screen recording...'); + this.recordingPlaybackMessage.set("正在完成录屏处理…"); this.requestSessionVideo(sessionId, this.videoRequestGeneration); } @@ -1901,7 +1901,7 @@ export class AgentService { this.activeVideoSegments.set([]); this.isVideoLoading.set(true); this.recordingPlaybackStatus.set('processing'); - this.recordingPlaybackMessage.set('Finalizing screen recording...'); + this.recordingPlaybackMessage.set("正在完成录屏处理…"); this.scheduleVideoRetry(sessionId, generation, res.retry_after_ms); return; } @@ -1913,8 +1913,8 @@ export class AgentService { this.recordingPlaybackStatus.set(status === 'failed' ? 'failed' : 'unavailable'); this.recordingPlaybackMessage.set( res.message || (status === 'failed' - ? 'Recording finalization failed.' - : 'No screen recording is available for this task.') + ? "录屏收尾失败。" + : "此任务暂无可用录像。") ); if (this.hasCurrentSessionStepFrames?.()) { this.playerMode?.set('steps'); @@ -1930,7 +1930,7 @@ export class AgentService { } this.isVideoLoading.set(false); this.recordingPlaybackStatus.set('failed'); - this.recordingPlaybackMessage.set('Unable to load the screen recording.'); + this.recordingPlaybackMessage.set("无法加载屏幕录像。"); if (this.hasCurrentSessionStepFrames?.()) { this.playerMode?.set('steps'); } @@ -1943,7 +1943,7 @@ export class AgentService { if (Date.now() - this.videoWaitStartedAt > 120_000) { this.isVideoLoading.set(false); this.recordingPlaybackStatus.set('failed'); - this.recordingPlaybackMessage.set('Recording finalization timed out. You can retry.'); + this.recordingPlaybackMessage.set("录屏处理超时，可以重试。"); return; } const delay = Math.max(500, Math.min(3000, retryAfterMs)); diff --git a/apps/showcase_ui/src/app/services/system.service.ts b/apps/showcase_ui/src/app/services/system.service.ts index b69697d..2d8cf54 100644 --- a/apps/showcase_ui/src/app/services/system.service.ts +++ b/apps/showcase_ui/src/app/services/system.service.ts @@ -56,8 +56,8 @@ export class SystemService { public configProbe = computed(() => this.probes().find(p => p.id === 'system_config') || null); public toolchainProbe = computed(() => this.probes().find(p => p.id === 'toolchain') || null); public adbProbe = computed(() => this.probes().find(p => p.id === 'android_adb') || null); - public llmProbe = computed(() => this.probes().find(p => p.id === 'gemini_api_key' || p.id === 'llm_api_key') || null); - public geminiProbe = computed(() => this.llmProbe()); + public llmProbe = computed(() => this.probes().find(p => p.id === 'openai_api_key' || p.id === 'llm_api_key') || null); + public openaiProbe = computed(() => this.llmProbe()); public ocrProbe = computed(() => this.probes().find(p => p.id === 'vision_ocr_key' || p.id === 'ocr_api_key') || null); // Grouped readiness helpers for the 3-step onboarding flow @@ -324,7 +324,7 @@ export class SystemService { status: 'starting', pid: null, serial: null, - stage_message: 'Spawning emulator process...', + stage_message: "正在启动模拟器进程…", progress_percent: 15, started_at: Date.now() / 1000, elapsed_seconds: 0, @@ -346,13 +346,13 @@ export class SystemService { error: (err) => { console.error('Failed to launch emulator:', err); this.launchingAvd.set(null); - const errorMsg = err?.error?.detail || err?.message || 'Failed to start emulator process.'; + const errorMsg = err?.error?.detail || err?.message || "启动模拟器进程失败。"; this.emulatorLaunchState.set({ avd_name: avdName, status: 'failed', pid: null, serial: null, - stage_message: 'Failed to initiate launch.', + stage_message: "启动失败。", progress_percent: 0, started_at: null, elapsed_seconds: 0, @@ -607,4 +607,3 @@ export interface ModelConfigEnvResponse { description: string; }>; } - diff --git a/apps/showcase_ui/src/app/utils/action-formatter.util.spec.ts b/apps/showcase_ui/src/app/utils/action-formatter.util.spec.ts index 94817c6..f406ec5 100644 --- a/apps/showcase_ui/src/app/utils/action-formatter.util.spec.ts +++ b/apps/showcase_ui/src/app/utils/action-formatter.util.spec.ts @@ -250,7 +250,7 @@ describe('extractStepReplayFrames', () => { expect(frames.length).toBe(2); expect(frames[0].stepNumber).toBe(1); expect(frames[0].action?.action).toBe('click'); - expect(frames[0].actionText).toContain('Tapping Element'); + expect(frames[0].actionText).toContain('点击元素'); expect(frames[1].stepNumber).toBe(2); expect(frames[1].title).toContain('Report Task Status'); }); @@ -288,7 +288,7 @@ describe('extractStepReplayFrames', () => { step_number: 1, pre_image_name: 'img1', post_image_name: 'img2', - action_taken: { action: 'manage_app', app_name: 'Maps' }, + action_taken: { action: 'manage_app', app_name: '地图' }, timestamp: 100 } }, @@ -344,20 +344,20 @@ describe('extractStepReplayFrames', () => { // Frame 1 MUST start at Step 1, NOT Step 4! expect(frames[0].stepNumber).toBe(1); expect(frames[0].index).toBe(0); - expect(frames[0].title).toContain('Step 1'); + expect(frames[0].title).toContain('步骤 1'); expect(frames[0].summary).toBe('In Step 1, I launched Google Maps'); expect(frames[0].preImageUrl).toBe('/images/img1'); // Frame 2 MUST be Step 2 expect(frames[1].stepNumber).toBe(2); expect(frames[1].index).toBe(1); - expect(frames[1].title).toContain('Step 2'); + expect(frames[1].title).toContain('步骤 2'); expect(frames[1].summary).toBe('In Step 2, I typed Coffee'); // Frame 3 MUST be Step 3 expect(frames[2].stepNumber).toBe(3); expect(frames[2].index).toBe(2); - expect(frames[2].title).toContain('Step 3'); + expect(frames[2].title).toContain('步骤 3'); expect(frames[2].summary).toBe('In Step 3, I pressed ENTER'); }); @@ -419,9 +419,9 @@ describe('getActionTargetText self-described targets', () => { it('prefers observed target_text over target_description when both are present', () => { expect(getActionTargetText({ action: 'click', - target_text: 'Play', + target_text: '播放', target_description: 'play button' - })).toBe('Play'); + })).toBe('播放'); }); it('chains per-point target_descriptions for click_sequence with the same arrow as coordinates', () => { @@ -464,7 +464,7 @@ describe('isActionFailed / getActionErrorMessage with Validator attempts', () => const action = { action: 'click', coordinates: [500, 900] }; it('treats a retry that ended in Dispatched as not failed', () => { - const stepData = stepWithAttempts(['Execution error: x', 'Dispatched']); + const stepData = stepWithAttempts(['Execution error: x', '已发送']); expect(isActionFailed(action, stepData)).toBeFalse(); }); diff --git a/apps/showcase_ui/src/app/utils/action-formatter.util.ts b/apps/showcase_ui/src/app/utils/action-formatter.util.ts index 2d9ace8..4e33f48 100644 --- a/apps/showcase_ui/src/app/utils/action-formatter.util.ts +++ b/apps/showcase_ui/src/app/utils/action-formatter.util.ts @@ -67,7 +67,7 @@ export function isAndroidAction(action: any): boolean { name = (act.name || act.action || '').toLowerCase(); } return [ - 'tap', 'click', 'click_sequence', 'input', 'input_text', 'swipe', 'scroll', 'press_key', + 'tap', 'click', 'click_sequence', 'input', 'input_text', 'swipe', 'scroll', 'press_key', 'press_home', 'press_back', 'launch_app', 'manage_app', 'open_app', 'focus_and_input_text', 'focus_and_clear_text', 'long_press', 'long_press_on', 'wait_for_delay', 'wait', 'drag', 'drag_and_drop' @@ -165,60 +165,60 @@ export function getActionIcon(action: any): string { */ export function getActionTitle(action: any): string { const act = getActionObject(action); - if (!act) return 'Action'; + if (!act) return "操作"; const name = (act.name || act.action || '').toLowerCase(); switch (name) { case 'tap': case 'click': case 'tap_element': case 'click_element': - return 'Tapping Element'; + return "点击元素"; case 'input': case 'input_text': case 'focus_and_input_text': - return 'Entering Text'; + return "输入文本"; case 'focus_and_clear_text': case 'clear_text': - return 'Clearing Text'; + return "清空文本"; case 'swipe': case 'scroll': { const actObj = getActionObject(action); const args = actObj?.args && typeof actObj.args === 'object' ? actObj.args : {}; const dir = actObj?.direction || actObj?.gesture || args.direction || args.gesture || (typeof args.action === 'string' ? args.action : '') || (typeof actObj?.action === 'string' && actObj.action !== name ? actObj.action : ''); if (dir && isPureDirectionString(dir)) { - return `Swiping Screen (${String(dir).toUpperCase()})`; + return `滑动屏幕（${String(dir).toUpperCase()})`; } - return 'Swiping Screen'; + return "滑动屏幕"; } case 'drag': case 'drag_and_drop': - return 'Dragging Screen'; + return "拖动屏幕"; case 'press_key': case 'press_home': case 'press_back': - return 'Pressing Hardware Key'; + return "按下实体按键"; case 'launch_app': case 'open_app': - return 'Launching Application'; + return "启动应用"; case 'stop_app': case 'close_app': - return 'Stopping Application'; + return "停止应用"; case 'manage_app': { const actObj = getActionObject(action); const actStr = (actObj?.action || actObj?.args?.action || '').toLowerCase(); - if (actStr === 'launch') return 'Launching Application'; - if (actStr === 'stop' || actStr === 'close') return 'Stopping Application'; - return 'Managing Application'; + if (actStr === 'launch') return "启动应用"; + if (actStr === 'stop' || actStr === 'close') return "停止应用"; + return "管理应用"; } case 'wait_for_delay': case 'delay': case 'wait': - return 'Waiting for Delay'; + return "等待"; case 'long_press': case 'long_press_on': - return 'Long Pressing Element'; + return "长按元素"; case 'click_sequence': - return 'Clicking Sequence'; + return "连续点击"; default: return name.replace(/_/g, ' ').replace(/\b\w/g, (c: string) => c.toUpperCase()); } @@ -264,27 +264,27 @@ export function getActionTargetText(action: any): string { */ export function getActionInputLabel(action: any): string { const act = getActionObject(action); - if (!act) return 'Input'; + if (!act) return "输入"; const name = (act.name || act.action || '').toLowerCase(); if (name.includes('delay') || name.includes('wait')) { - return 'Duration'; + return "耗时"; } if (name === 'swipe' || name === 'scroll' || name === 'drag' || name === 'drag_and_drop') { const actObj = getActionObject(action); const args = actObj?.args && typeof actObj.args === 'object' ? actObj.args : {}; const dir = actObj?.direction || actObj?.gesture || args.direction || args.gesture || (typeof args.action === 'string' ? args.action : '') || (typeof actObj?.action === 'string' && actObj.action !== name ? actObj.action : ''); if (dir && isPureDirectionString(dir)) { - return 'Direction'; + return "方向"; } - return 'Input'; + return "输入"; } if (name === 'press_key' || name.includes('key')) { - return 'Key'; + return "按键"; } if (name === 'input_text' || name.includes('input')) { - return 'Input Text'; + return "输入文本"; } - return 'Input'; + return "输入"; } /** @@ -376,12 +376,12 @@ export function getActionCoords(action: any): string { */ function attemptsFailed(attempts: any): boolean { if (!Array.isArray(attempts) || attempts.length === 0) return false; - return String(attempts[attempts.length - 1]) !== 'Dispatched'; + return String(attempts[attempts.length - 1]) !== "已发送"; } function lastFailedAttempt(attempts: any): string | null { if (!Array.isArray(attempts)) return null; - const failing = attempts.filter((a: any) => String(a) !== 'Dispatched'); + const failing = attempts.filter((a: any) => String(a) !== "已发送"); return failing.length > 0 ? String(failing[failing.length - 1]) : null; } @@ -450,7 +450,7 @@ export function getActionErrorMessage(action: any, stepData?: any): string { } } } - return 'Action Failed'; + return "操作失败"; } /** @@ -531,7 +531,7 @@ export function extractActionExtraParams(action: any, cache?: WeakMap c.toUpperCase()); - if (lowerK === 'time_in_ms' || lowerK === 'delay_ms') prettyKey = 'Delay'; + if (lowerK === 'time_in_ms' || lowerK === 'delay_ms') prettyKey = "延迟"; result.push({ key: prettyKey, value: valStr }); } @@ -981,7 +981,7 @@ export function extractStepReplayFrames(logsOrSteps: any[]): StepReplayFrame[] { for (let i = 0; i < visualCandidates.length; i++) { const { stepData, act, preUrl, postUrl, primaryImg } = visualCandidates[i]; const stepNum = i + 1; // 1-indexed sequential frame number (1, 2, 3...) - const title = act ? (getActionTitle(act) || 'Action') : `Step ${stepNum}`; + const title = act ? (getActionTitle(act) || "操作") : `步骤 ${stepNum}`; const coords = act ? getActionCoords(act) : ''; const targetText = act ? getActionTargetText(act) : ''; const actionDesc = coords ? `${title} (${coords})` : (targetText ? `${title} (${targetText})` : title); @@ -995,7 +995,7 @@ export function extractStepReplayFrames(logsOrSteps: any[]): StepReplayFrame[] { stepNumber: stepNum, rawStepNumber: rawStepNum, stepId: String(stepData.step_id || `step-${stepNum}`), - title: `Step ${stepNum}: ${title}`, + title: `步骤 ${stepNum}: ${title}`, actionText: actionDesc, action: act, actionType: act?.action || act?.name || 'action', diff --git a/apps/showcase_ui/src/app/utils/image-overlay.util.ts b/apps/showcase_ui/src/app/utils/image-overlay.util.ts index 5611fab..81352cf 100644 --- a/apps/showcase_ui/src/app/utils/image-overlay.util.ts +++ b/apps/showcase_ui/src/app/utils/image-overlay.util.ts @@ -228,9 +228,9 @@ export function drawActionCoordinatesOnOverlay( // 2. Check separate start and end coordinate objects const normStart = extractNumbersFromCoordinateValue(act.normalized_start_coordinates || args.normalized_start_coordinates); const normEnd = extractNumbersFromCoordinateValue(act.normalized_end_coordinates || args.normalized_end_coordinates); - const startCoords = normStart || extractNumbersFromCoordinateValue(act.start_coordinates || act.start_point || act.start || act.from || + const startCoords = normStart || extractNumbersFromCoordinateValue(act.start_coordinates || act.start_point || act.start || act.from || args.start_coordinates || args.start_point || args.start || args.from); - const endCoords = normEnd || extractNumbersFromCoordinateValue(act.end_coordinates || act.end_point || act.end || act.to || + const endCoords = normEnd || extractNumbersFromCoordinateValue(act.end_coordinates || act.end_point || act.end || act.to || args.end_coordinates || args.end_point || args.end || args.to); if (startCoords && endCoords && startCoords.length >= 2 && endCoords.length >= 2) { @@ -320,12 +320,12 @@ export function drawActionCoordinatesOnOverlay( * Helper to create and position an animated red dot point marker with edge-aware label */ export function createPointMarker( - x: number, - y: number, - actionType: string, - naturalWidth: number, - naturalHeight: number, - overlay: HTMLElement, + x: number, + y: number, + actionType: string, + naturalWidth: number, + naturalHeight: number, + overlay: HTMLElement, isNormalized: boolean = false, sequenceIndex?: number, totalSequence?: number @@ -387,7 +387,7 @@ export function createPointMarker( const label = document.createElement('div'); if (sequenceIndex !== undefined) { - label.innerText = totalSequence && totalSequence > 1 ? `#${sequenceIndex} TAP` : actionType.toUpperCase(); + label.innerText = totalSequence && totalSequence > 1 ? `#${sequenceIndex} 点击` : actionType.toUpperCase(); } else { label.innerText = actionType.toUpperCase(); } @@ -527,13 +527,13 @@ export function createSequenceConnector( * Helper to create and position an SVG arrow, high-contrast dashed line, and badge for swipes/drags */ export function createLineMarker( - x1: number, - y1: number, - x2: number, - y2: number, - naturalWidth: number, - naturalHeight: number, - overlay: HTMLElement, + x1: number, + y1: number, + x2: number, + y2: number, + naturalWidth: number, + naturalHeight: number, + overlay: HTMLElement, isNormalized: boolean = false, actionType: string = 'swipe' ): void { diff --git a/apps/showcase_ui/src/app/utils/markdown-parser.util.ts b/apps/showcase_ui/src/app/utils/markdown-parser.util.ts index 0b3e377..b7c4f25 100644 --- a/apps/showcase_ui/src/app/utils/markdown-parser.util.ts +++ b/apps/showcase_ui/src/app/utils/markdown-parser.util.ts @@ -199,7 +199,7 @@ export function extractCheckerResult(text: string): CheckerResult | null { if (parsed && typeof parsed === 'object' && 'success' in parsed) { return { success: Boolean(parsed.success), - reason: parsed.reason || 'No reason provided.' + reason: parsed.reason || "未提供原因。" }; } } catch { diff --git a/apps/showcase_ui/src/app/utils/run-info.util.spec.ts b/apps/showcase_ui/src/app/utils/run-info.util.spec.ts index 89bc65c..b10034b 100644 --- a/apps/showcase_ui/src/app/utils/run-info.util.spec.ts +++ b/apps/showcase_ui/src/app/utils/run-info.util.spec.ts @@ -62,10 +62,10 @@ describe('run-info.util', () => { describe('tuningLabel', () => { it('maps ids to the launcher labels and defaults unknown ids', () => { - expect(tuningLabel('verify', 'checkpoints')).toBe('Every step'); - expect(tuningLabel('verify', 'nonsense')).toBe('At the end'); - expect(tuningLabel('explore', 'ultra')).toBe('Close-up'); - expect(tuningLabel('explore', null)).toBe('Quick glance'); + expect(tuningLabel('verify', 'checkpoints')).toBe('逐步检查'); + expect(tuningLabel('verify', 'nonsense')).toBe('结束时检查'); + expect(tuningLabel('explore', 'ultra')).toBe('精细识别'); + expect(tuningLabel('explore', null)).toBe('快速识别'); }); }); diff --git a/apps/showcase_ui/src/app/utils/stream-aggregator.util.spec.ts b/apps/showcase_ui/src/app/utils/stream-aggregator.util.spec.ts index d6f1212..37c02e7 100644 --- a/apps/showcase_ui/src/app/utils/stream-aggregator.util.spec.ts +++ b/apps/showcase_ui/src/app/utils/stream-aggregator.util.spec.ts @@ -507,10 +507,10 @@ describe('stream aggregator single source of truth (Option A)', () => { it('does not duplicate action_taken when generic_tools already contains the action trace', () => { const events = getSortedStepEvents({ timestamp: 100, - action_taken: [{ action: 'launch_app', app_name: 'Maps', timestamp: 102 }], + action_taken: [{ action: 'launch_app', app_name: '地图', timestamp: 102 }], generic_tools: [ { trace_id: 'tool-note', type: 'tool', name: 'update_note', timestamp: 101 }, - { trace_id: 'act-launch', type: 'action', name: 'launch_app', timestamp: 102, payload: { args: { action: { action: 'launch_app', app_name: 'Maps' } } } } + { trace_id: 'act-launch', type: 'action', name: 'launch_app', timestamp: 102, payload: { args: { action: { action: 'launch_app', app_name: '地图' } } } } ] }); @@ -565,7 +565,7 @@ describe('stream aggregator single source of truth (Option A)', () => { { trace_id: 't-adb-1-sub', parent_trace_id: 't-adb-1', name: 'run_adb_command', type: 'tool', timestamp: 1788457631.5, status: 'success' }, { trace_id: 't-adb-2', parent_trace_id: 't-op', name: 'run_adb_command', type: 'tool', timestamp: 1788457632, status: 'success', payload: { args: { CommandLine: 'am start -a android.intent.action.SENDTO ...' } } }, { trace_id: 't-adb-2-sub', parent_trace_id: 't-adb-2', name: 'run_adb_command', type: 'tool', timestamp: 1788457632.5, status: 'success' }, - { trace_id: 't-exp', parent_trace_id: 't-op', name: 'ask_explorer', type: 'tool', timestamp: 1788457633, status: 'success', payload: { args: { query: 'any text on screen' } } }, + { trace_id: 't-exp', parent_trace_id: 't-op', name: 'ask_explorer', type: 'tool', timestamp: 1788457633, status: 'success', payload: { args: { query: 'any text 在屏幕上' } } }, { trace_id: 't-exp-sub', parent_trace_id: 't-exp', name: 'ask_explorer', type: 'tool', timestamp: 1788457633.5, status: 'success' }, { trace_id: 't-wait', parent_trace_id: 't-val', name: 'wait_for_delay', type: 'action', timestamp: 1788457635, status: 'success', payload: { args: { action: { action: 'wait_for_delay', time_in_ms: 1000 } } } }, { trace_id: 't-safety', parent_trace_id: 't-wait', name: 'safety_net_pixel_validation', type: 'tool', timestamp: 1788457636, status: 'success' } @@ -597,7 +597,7 @@ describe('stream aggregator single source of truth (Option A)', () => { text: 'Here is the aborted plan...', isCompleted: false, isReset: true, - resetMessage: 'A request error occurred during output generation, typically caused by lower API priority. Retrying automatically...' + resetMessage: '生成过程中请求出错，正在自动重试…' } } ]; @@ -605,7 +605,7 @@ describe('stream aggregator single source of truth (Option A)', () => { const initialBlocks = consolidateLogsToBlocks(resetLogs); expect(initialBlocks.length).toBe(1); expect(initialBlocks[0].data.isReset).toBeTrue(); - expect(initialBlocks[0].data.resetMessage).toBe('A request error occurred during output generation, typically caused by lower API priority. Retrying automatically...'); + expect(initialBlocks[0].data.resetMessage).toBe('生成过程中请求出错，正在自动重试…'); // getSortedStepEvents retains the reset state and message const resetEvents = getSortedStepEvents(initialBlocks[0].data); @@ -637,4 +637,3 @@ describe('stream aggregator single source of truth (Option A)', () => { expect(updatedBlocks[0].data.isCompleted).toBeTrue(); }); }); - diff --git a/apps/showcase_ui/src/app/utils/stream-aggregator.util.ts b/apps/showcase_ui/src/app/utils/stream-aggregator.util.ts index 8b57e47..7a3737a 100644 --- a/apps/showcase_ui/src/app/utils/stream-aggregator.util.ts +++ b/apps/showcase_ui/src/app/utils/stream-aggregator.util.ts @@ -750,13 +750,13 @@ export function formatTokenCount(tokens?: number): string { export function groupBlocksToPhases(blocks: StepBlock[], sessionStartTime: number): PhaseBlock[] { if (!blocks || blocks.length === 0) return []; const phases: PhaseBlock[] = []; - + // Base start timestamp in ms let previousEndTime = sessionStartTime ? sessionStartTime * 1000 : 0; blocks.forEach((block, index) => { const blockTime = block.timestamp ? new Date(block.timestamp).getTime() : Date.now(); - + if (previousEndTime === 0 && blockTime > 0) { previousEndTime = blockTime; } @@ -791,7 +791,7 @@ export function groupBlocksToPhases(blocks: StepBlock[], sessionStartTime: numbe * Returns all actions and tools inside a step card, sorted in true chronological sequence by timestamp */ export function getSortedStepEvents( - stepData: any, + stepData: any, cache?: WeakMap ): StepEvent[] { if (!stepData || typeof stepData !== 'object') return []; @@ -940,20 +940,20 @@ export function getSortedStepEvents( * Compile human-readable session summary from logs */ export function compileSessionSummary(logs: any[]): string { - if (!logs || logs.length === 0) return 'No logs available.'; + if (!logs || logs.length === 0) return "暂无日志。"; // Check for goal completed / checker response / cancellation / report_task_status for (let i = logs.length - 1; i >= 0; i--) { const log = logs[i]; if (log.type === 'session_ended') { if (log.data?.status === 'cancelled' || log.data?.was_stopped_manually) { - return 'Task stopped manually.'; + return "任务已手动停止。"; } } if (log.type === 'llm_stream' && log.data?.text) { const text = log.data.text; if (text.includes('```json') && text.includes('"success"')) { - return 'Execution completed and verified by checker.'; + return "任务已执行完成，并通过检查。"; } } if (log.type === 'step_recorded' || log.type === 'step_updated') { @@ -963,12 +963,12 @@ export function compileSessionSummary(logs: any[]): string { if (exp) return exp; } if (log.data?.status === 'completed') { - return log.data.message || 'Task completed successfully.'; + return log.data.message || "任务已成功完成。"; } } } - return 'Execution session in progress or ended.'; + return "会话正在执行或已结束。"; } /** @@ -986,8 +986,8 @@ export function computeSessionDuration(sessionStartTime: number, logs: any[]): n * Check if the planning loader should be visible (while running, waiting for next step/action and not actively typing a stream) */ export function checkPlanningLoader( - logs: any[], - isRunning: boolean, + logs: any[], + isRunning: boolean, isCurrentRunningSession: boolean = true ): boolean { if (!isRunning || !isCurrentRunningSession) return false; diff --git a/apps/showcase_ui/src/app/utils/tool-formatter.util.spec.ts b/apps/showcase_ui/src/app/utils/tool-formatter.util.spec.ts index 2c5d92f..efacffc 100644 --- a/apps/showcase_ui/src/app/utils/tool-formatter.util.spec.ts +++ b/apps/showcase_ui/src/app/utils/tool-formatter.util.spec.ts @@ -84,10 +84,10 @@ describe('compress_history timeline line', () => { describe('phase (args.phase from the backend)', () => { it('reads the declared phase and maps it to one short plain-language label', () => { const cases: Array<[string, string, string]> = [ - ['running', 'summarizing', 'Summarizing this stretch'], - ['running', 'ready', 'Summary ready; kept in reserve until the context fills up'], - ['success', 'applied', 'Replaced this stretch with its summary'], - ['failed', 'failed', 'Summary failed; full record kept'] + ['running', 'summarizing', '正在总结此段记录'], + ['running', 'ready', '摘要已就绪，上下文接近容量上限时替换原文'], + ['success', 'applied', '已使用摘要替换此段记录'], + ['failed', 'failed', '摘要失败，保留完整记录'] ]; for (const [status, phase, label] of cases) { const tool = trace(status, { start_step: 1, end_step: 4, phase }); @@ -129,7 +129,7 @@ describe('cleanErrorMessage', () => { }); it('does not present an empty LLM wrapper label as an error reason', () => { - expect(cleanErrorMessage('LLM Error:')).toBe('Unknown error'); + expect(cleanErrorMessage('LLM Error:')).toBe('未知错误'); }); }); @@ -222,7 +222,7 @@ describe('video analysis timeline formatting', () => { expect(view?.outcome).toBe('complete'); expect(view?.reuse).toBe('full'); - expect(view?.title).toBe('Reused video analysis'); + expect(view?.title).toBe('已复用视频分析'); expect(view?.requestedRange).toEqual({ start: 0, end: 42 }); }); @@ -259,7 +259,7 @@ describe('video analysis timeline formatting', () => { expect(result[0].trace_id).toBe('video-analysis-video-agent-1'); expect(result[0].payload.result.outcome).toBe('partial'); expect(result[0].payload.result.requested_range).toEqual({ start: 0, end: 60 }); - expect(getVideoAnalysisView(result[0])?.title).toBe('Video analysis partially completed'); + expect(getVideoAnalysisView(result[0])?.title).toBe('视频分析部分完成'); }); it('keeps video analyses from independent parent executions separate', () => { @@ -333,8 +333,8 @@ describe('getToolTargetText self-described targets', () => { it('prefers observed target_text over target_description', () => { expect(getToolTargetText({ name: 'click', - payload: { args: { target_text: 'Play', target_description: 'play button' } } - })).toBe('Play'); + payload: { args: { target_text: '播放', target_description: 'play button' } } + })).toBe('播放'); }); it('chains click_sequence target_descriptions with the coordinate arrow', () => { diff --git a/apps/showcase_ui/src/app/utils/tool-formatter.util.ts b/apps/showcase_ui/src/app/utils/tool-formatter.util.ts index 225c1f9..2390c2e 100644 --- a/apps/showcase_ui/src/app/utils/tool-formatter.util.ts +++ b/apps/showcase_ui/src/app/utils/tool-formatter.util.ts @@ -138,7 +138,7 @@ function parseVideoResultText(text: string): Partial { return { outcome: 'failed', summary: value }; } if (value.includes('Analysis is already in progress in another video agent')) { - return { outcome: 'waiting', summary: 'Another video agent is already analyzing this evidence.' }; + return { outcome: 'waiting', summary: "另一个视频智能体正在分析此段内容。" }; } return { outcome: 'complete', summary: value }; } @@ -175,14 +175,14 @@ export function getVideoAnalysisView(tool: any): VideoAnalysisView | null { const completedCount = Number(structured.completed_count ?? completedRanges.length ?? 0); const totalCount = Number(structured.total_count ?? (completedRanges.length + failedRanges.length)); const titleByOutcome: Record = { - running: 'Analyzing screen recording', - recovering: 'Analyzing unfinished recording segment', - waiting: 'Waiting for existing video analysis', + running: "正在分析屏幕录像", + recovering: "正在分析尚未结束的录像片段", + waiting: "正在等待已有的视频分析", complete: structured.reuse === 'full' || parsed.reuse === 'full' - ? 'Reused video analysis' - : 'Analyzed screen recording', - partial: 'Video analysis partially completed', - failed: 'Video analysis returned no result' + ? "已复用视频分析" + : "已分析屏幕录像", + partial: "视频分析部分完成", + failed: "视频分析未返回结果" }; return { @@ -236,7 +236,7 @@ export function getVideoToolTarget(tool: any): string | null { * Canonical list of mobile device automation and ADB command tool names. */ export const DEVICE_ACTION_TOOL_NAMES = new Set([ - 'click', 'click_sequence', 'long_press', 'long_press_on', 'input', 'input_text', + 'click', 'click_sequence', 'long_press', 'long_press_on', 'input', 'input_text', 'swipe', 'scroll', 'press_key', 'press_home', 'press_back', 'launch_app', 'manage_app', 'open_app', 'focus_and_input_text', 'focus_and_clear_text', 'tap', 'wait_for_delay', 'wait', 'run_adb_command', 'run_short_adb_command' @@ -558,9 +558,9 @@ export function getToolDisplayLabel(tool: any, isFirstSaveNote: boolean = false) case 'manage_app': case 'launch_app': { const rawApp = args.app_name || args.package_name || args.app || ''; - const app = rawApp ? (rawApp.charAt(0).toUpperCase() + rawApp.slice(1)) : 'Application'; + const app = rawApp ? (rawApp.charAt(0).toUpperCase() + rawApp.slice(1)) : "应用"; const rawAction = args.action ? String(args.action).toLowerCase() : ''; - const verb = rawAction === 'launch' ? 'Launching' : (rawAction === 'stop' || rawAction === 'close' ? 'Stopping' : 'Managing'); + const verb = rawAction === 'launch' ? "启动中" : (rawAction === 'stop' || rawAction === 'close' ? "停止中" : "管理中"); return `${verb} "${app}"`; } @@ -568,100 +568,100 @@ export function getToolDisplayLabel(tool: any, isFirstSaveNote: boolean = false) case 'wait_delay': case 'wait': { const delay = args.delay_seconds || args.seconds || args.delay || args.duration; - return delay ? `Waiting for ${delay} second${Number(delay) > 1 ? 's' : ''}...` : 'Waiting for delay...'; + return delay ? `等待 ${delay} second${Number(delay) > 1 ? 's' : ''}...` : "正在等待…"; } case 'wait_for_text': { const text = args.text || args.target_text || ''; - return text ? `Waiting for text "${text}" to appear on screen` : 'Waiting for text on screen'; + return text ? `等待文本 "${text}" 出现在屏幕上` : "正在等待屏幕出现文本"; } case 'input_text': case 'input': { const text = args.text || args.input_text || ''; - return text ? `Entering text "${text}" into field` : 'Entering text into input field'; + return text ? `输入文本 "${text}" 至输入框` : "正在向输入框输入文本"; } case 'focus_and_input_text': { const text = args.text || args.input_text || ''; - return text ? `Focusing field and typing "${text}"` : 'Focusing field and entering text'; + return text ? `聚焦输入框并输入 "${text}"` : "正在聚焦输入框并输入文本"; } case 'focus_and_clear_text': - return 'Focusing and clearing field text'; + return "正在聚焦输入框并清空文本"; case 'click': case 'tap': { const target = args.target_text || args.text || args.query || ''; - return target ? `Tapping on "${target}"` : 'Tapping on screen element'; + return target ? `点击 "${target}"` : "正在点击屏幕元素"; } case 'click_sequence': - return 'Executing click sequence'; + return "正在执行连续点击"; case 'long_press': { const target = args.target_text || args.text || ''; - return target ? `Long pressing on "${target}"` : 'Long pressing screen element'; + return target ? `长按 "${target}"` : "正在长按屏幕元素"; } case 'swipe': { const dir = args.action || args.direction || ''; - return dir ? `Swiping ${String(dir).toUpperCase()} on screen` : 'Swiping screen'; + return dir ? `滑动 ${String(dir).toUpperCase()} 在屏幕上` : "正在滑动屏幕"; } case 'press_key': { const key = args.key || args.keycode || ''; - return key ? `Pressing key ${String(key).toUpperCase()}` : 'Pressing hardware key'; + return key ? `按键 ${String(key).toUpperCase()}` : "正在按下实体按键"; } case 'save_note': - return isFirstSaveNote ? 'Creating note' : 'Saving note'; + return isFirstSaveNote ? "正在创建笔记" : "正在保存笔记"; case 'read_note': - return 'Reading note'; + return "正在读取笔记"; case 'list_notes': - return 'Browsing all saved notes'; + return "正在浏览已保存笔记"; case 'update_note': - return 'Updating note'; + return "正在更新笔记"; case 'append_note': - return 'Updating note'; + return "正在更新笔记"; case 'object_detection': { const q = Array.isArray(args.queries) ? args.queries.join(', ') : (args.queries || ''); - return q ? `Locating on screen: "${q}"` : 'Locating elements on screen'; + return q ? `Locating 在屏幕上: "${q}"` : "正在定位屏幕元素"; } case 'ask_explorer': { const query = args.query || args.prompt || ''; - return query ? `Searching on screen: "${query}"` : 'Searching on screen'; + return query ? `Searching 在屏幕上: "${query}"` : "正在搜索屏幕"; } case 'report_failure_analysis': { const reason = args.reason || args.analysis || ''; - return reason ? `Investigating issue: ${reason}` : 'Investigating execution issue'; + return reason ? `排查问题：${reason}` : "正在排查执行问题"; } case 'run_adb_command': case 'run_short_adb_command': { const cmd = args.command || args.cmd || ''; - return cmd ? `Running command: ${cmd}` : 'Running system command'; + return cmd ? `运行命令：${cmd}` : "正在运行系统命令"; } case 'search_logs': case 'read_logs': { const q = args.query || args.filter || ''; - return q ? `Searching logs for "${q}"` : 'Analyzing system logs'; + return q ? `搜索日志："${q}"` : "正在分析系统日志"; } case 'log_analyzer': case 'output_analyzer': - return 'Analyzing logs'; + return "正在分析日志"; case 'diagnoser': case 'diagnose': - return 'Diagnosing issue'; + return "正在诊断问题"; case 'video_analyzer': case 'video_analyzer_pure': - return 'Analyzing screen recording'; + return "正在分析屏幕录像"; case 'extract_segment_metadata': { const start = args.start_time !== undefined ? `${args.start_time}s` : ''; const end = args.end_time !== undefined ? `${args.end_time}s` : ''; const range = (start && end) ? ` (${start} - ${end})` : (start ? ` (from ${start})` : ''); - return `Cropping screen recording segment${range}`; + return `截取录屏片段${range}`; } case 'spawn_sub_agent': { const q = args.specific_query || args.query || args.prompt || ''; - return q ? `Analyzing recording with sub-agent: "${q}"` : 'Analyzing recording with sub-agent'; + return q ? `分析录屏："${q}"` : "正在调用子智能体分析录像"; } case 'analyze_audio_only': { const q = args.specific_query || args.query || ''; - return q ? `Analyzing audio track: "${q}"` : 'Analyzing recording audio track'; + return q ? `Analyzing audio track: "${q}"` : "正在分析录像音轨"; } case 'search_history': { const q = args.query || ''; @@ -676,30 +676,30 @@ export function getToolDisplayLabel(tool: any, isFirstSaveNote: boolean = false) if (n !== undefined && n !== '' && end !== undefined && end !== null && end !== '' && String(end) !== String(n)) { return `Reviewing steps ${n}–${end}`; } - return n !== undefined && n !== '' ? `Reviewing step ${n}` : 'Reviewing step details'; + return n !== undefined && n !== '' ? `Reviewing step ${n}` : "正在查看步骤详情"; } case 'get_step_screenshot': { const n = args.step_number; const variant = String(args.which || '').toLowerCase(); if (variant === 'overlay') { - return n !== undefined && n !== '' ? `Looking at where step ${n}'s action landed` : 'Looking at where an action landed'; + return n !== undefined && n !== '' ? `Looking at where step ${n}'s action landed` : "正在查看操作位置"; } const which = variant === 'post' ? 'after' : 'before'; - return n !== undefined && n !== '' ? `Looking at the screen ${which} step ${n}` : 'Looking at a step screenshot'; + return n !== undefined && n !== '' ? `Looking at the screen ${which} step ${n}` : "正在查看步骤截图"; } case 'probe_device': { const kind = args.kind ? String(args.kind).replace(/_/g, ' ') : ''; - return kind ? `Reading ${kind} from the device` : 'Reading device state'; + return kind ? `Reading ${kind} from the device` : "正在读取设备状态"; } case 'outputter': case 'output_synthesis': - return 'Synthesizing output report'; + return "正在生成输出报告"; case 'web_search': { const q = args.query || ''; - return q ? `Searching web for "${q}"` : 'Searching the web'; + return q ? `Searching web for "${q}"` : "正在搜索网页"; } case 'read_url': - return 'Fetching web page'; + return "正在读取网页"; case 'compress_history': return getCompressionLabel(tool); @@ -723,7 +723,7 @@ export function getCompressionLabel(tool: any): string { const hasRange = Number.isFinite(start) && Number.isFinite(end) && start > 0 && end > 0; const range = hasRange ? (start === end ? `step ${start}` : `steps ${start}–${end}`) - : 'earlier steps'; + : "之前的步骤"; const rangeCapitalized = range.charAt(0).toUpperCase() + range.slice(1); const status = String(tool?.status || '').toLowerCase(); const phase = getCompressionPhase(tool); @@ -802,13 +802,13 @@ export function getCompressionPhase(tool: any): CompressionPhase { export function getCompressionPhaseLabel(tool: any): string { switch (getCompressionPhase(tool)) { case 'ready': - return 'Summary ready; kept in reserve until the context fills up'; + return "摘要已就绪，上下文接近容量上限时替换原文"; case 'applied': - return 'Replaced this stretch with its summary'; + return "已使用摘要替换此段记录"; case 'failed': - return 'Summary failed; full record kept'; + return "摘要失败，保留完整记录"; default: - return 'Summarizing this stretch'; + return "正在总结此段记录"; } } @@ -898,76 +898,76 @@ export function getToolIcon(tool: any): string { * Get formatted title for a tool call card */ export function getToolTitle(tool: any): string { - if (!tool || !tool.name) return 'Tool Call'; + if (!tool || !tool.name) return "工具调用"; const cleanName = tool.name.replace(/^(_)?exec_/, ''); const name = cleanName.toLowerCase(); switch (name) { case 'click': case 'tap': - return 'Tapping Element'; + return "点击元素"; case 'click_sequence': - return 'Executing Click Sequence'; + return "执行连续点击"; case 'long_press': - return 'Long Pressing Element'; + return "长按元素"; case 'input_text': case 'input': - return 'Entering Text'; + return "输入文本"; case 'swipe': case 'scroll': { const args = getToolArgs(tool); const dir = args.direction || args.gesture || (typeof args.action === 'string' ? args.action : ''); - if (dir && isPureDirectionString(dir)) return `Swiping Screen (${String(dir).toUpperCase()})`; - return 'Swiping Screen'; + if (dir && isPureDirectionString(dir)) return `滑动屏幕（${String(dir).toUpperCase()})`; + return "滑动屏幕"; } case 'drag': case 'drag_and_drop': - return 'Dragging Screen'; + return "拖动屏幕"; case 'press_key': - return 'Pressing Hardware Key'; + return "按下实体按键"; case 'manage_app': case 'launch_app': { const args = getToolArgs(tool); const rawAction = args.action ? String(args.action).toLowerCase() : ''; - if (rawAction === 'launch') return 'Launching Application'; - if (rawAction === 'stop' || rawAction === 'close') return 'Stopping Application'; - return 'Managing Application'; + if (rawAction === 'launch') return "启动应用"; + if (rawAction === 'stop' || rawAction === 'close') return "停止应用"; + return "管理应用"; } case 'wait_for_delay': case 'wait_delay': - return 'Waiting for Delay'; + return "等待"; case 'wait_for_text': - return 'Waiting for Text'; + return "等待文本"; case 'object_detection': - return 'Locating Elements'; + return "定位元素"; case 'ask_explorer': - return 'Searching on Screen'; + return "搜索屏幕"; case 'report_failure_analysis': - return 'Investigating Issue'; + return "排查问题"; case 'run_adb_command': case 'run_short_adb_command': - return 'Running System Command'; + return "运行系统命令"; case 'web_search': - return 'Web Search'; + return "网页搜索"; case 'read_url': - return 'Fetching Web Page'; + return "读取网页"; case 'search_logs': case 'read_logs': - return 'Searching Logs'; + return "搜索日志"; case 'log_analyzer': case 'output_analyzer': - return 'Analyzing Logs'; + return "分析日志"; case 'diagnoser': case 'diagnose': - return 'Diagnosing Issue'; + return "诊断问题"; case 'video_analyzer': case 'video_analyzer_pure': - return 'Analyzing Screen Recording'; + return "分析屏幕录像"; case 'extract_segment_metadata': - return 'Cropping Screen Recording'; + return "裁剪屏幕录像"; case 'spawn_sub_agent': - return 'Delegating Video Analysis'; + return "委派视频分析"; case 'analyze_audio_only': - return 'Analyzing Audio Track'; + return "分析音轨"; default: return cleanName.replace(/_/g, ' ').replace(/\b\w/g, (c: string) => c.toUpperCase()); } @@ -1046,26 +1046,26 @@ export function getToolTargetText(tool: any): string { * Get input label for tools */ export function getToolInputLabel(tool: any): string { - if (!tool || !tool.name) return 'Input'; + if (!tool || !tool.name) return "输入"; const name = tool.name.toLowerCase().replace(/^(_)?exec_/, ''); if (name === 'wait_for_delay' || name === 'wait_delay' || name === 'delay' || name === 'wait') { - return 'Duration'; + return "耗时"; } if (name === 'swipe' || name === 'scroll' || name === 'drag' || name === 'drag_and_drop') { const args = getToolArgs(tool); const dir = args.direction || args.gesture || (typeof args.action === 'string' ? args.action : ''); if (dir && isPureDirectionString(dir)) { - return 'Direction'; + return "方向"; } - return 'Input'; + return "输入"; } if (name === 'press_key' || name === 'press_home' || name === 'press_back') { - return 'Key'; + return "按键"; } if (name === 'input_text' || name === 'input') { - return 'Input Text'; + return "输入文本"; } - return 'Input'; + return "输入"; } /** @@ -1220,14 +1220,14 @@ export function isToolFailed(tool: any): boolean { * Get error message for a failed tool */ export function getToolErrorMessage(tool: any): string { - if (!tool) return 'Tool Failed'; + if (!tool) return "工具失败"; const args = getToolArgs(tool); if (args.status === 'cannot_fix') return 'Status: cannot_fix'; if (args.error || args.message || args.failure_reason) { return args.error || args.message || args.failure_reason; } if (tool.error || tool.message) return tool.error || tool.message; - return 'Action Failed'; + return "操作失败"; } /** @@ -1286,7 +1286,7 @@ export function extractToolExtraParams(toolData: any, cache?: WeakMap c.toUpperCase()); - if (lowerK === 'time_in_ms' || lowerK === 'delay_ms') prettyKey = 'Delay'; + if (lowerK === 'time_in_ms' || lowerK === 'delay_ms') prettyKey = "延迟"; result.push({ key: prettyKey, value: valStr }); } @@ -1363,7 +1363,7 @@ export function cleanErrorMessage(rawError: any): string { } const errorStr = String(rawError).trim(); - if (!errorStr) return 'Unknown error'; + if (!errorStr) return "未知错误"; // 1. Try regex extraction for "message": "..." const doubleQuoteMsgMatch = errorStr.match(/"message"\s*:\s*"((?:[^"\\]|\\.)*)"/i); @@ -1415,5 +1415,5 @@ export function cleanErrorMessage(rawError: any): string { .replace(/^(?:LLM\s+(?:Request\s+)?Error\s*:\s*)+/i, '') .trim(); - return fallback || 'Unknown error'; + return fallback || "未知错误"; } diff --git a/apps/showcase_ui/src/app/utils/ui-label.pipe.ts b/apps/showcase_ui/src/app/utils/ui-label.pipe.ts new file mode 100644 index 0000000..cc084f0 --- /dev/null +++ b/apps/showcase_ui/src/app/utils/ui-label.pipe.ts @@ -0,0 +1,17 @@ +import { Pipe, PipeTransform } from '@angular/core'; + +const LABELS: Record = { + running: '执行中', queued: '排队中', pending: '等待中', completed: '已完成', + success: '成功', succeeded: '成功', failed: '失败', error: '错误', paused: '已暂停', + cancelled: '已取消', canceled: '已取消', stopped: '已停止', unknown: '未知', + idle: '空闲', starting: '启动中', launching: '启动中', ready: '就绪', + pass: '通过', fail: '失败', warn: '警告', warning: '警告', blocked: '受阻', + done: '完成', active: '当前', waiting: '等待中', processing: '处理中', +}; + +@Pipe({ name: 'uiLabel', standalone: true }) +export class UiLabelPipe implements PipeTransform { + transform(value: string | null | undefined): string { + return LABELS[(value || '').toLowerCase()] || value || ''; + } +} diff --git a/apps/showcase_ui/src/index.html b/apps/showcase_ui/src/index.html index b399a9d..76329a7 100644 --- a/apps/showcase_ui/src/index.html +++ b/apps/showcase_ui/src/index.html @@ -15,7 +15,7 @@ limitations under the License. --> - + artemis diff --git a/artemis/agents/checker/checker.json b/artemis/agents/checker/checker.json index 097ed24..ea19183 100644 --- a/artemis/agents/checker/checker.json +++ b/artemis/agents/checker/checker.json @@ -1,5 +1,5 @@ { - "system": "You are a precise, evidence-driven verification expert (Checker). You audit declared check items against recorded execution evidence and issue verdicts. You never operate the device, never modify any state, and never negotiate with the executing agent — you only observe, probe read-only state where allowed, and judge.", + "system": "# 输出语言要求\n所有自行撰写的自然语言说明必须使用简体中文，包括每一步的操作说明、计划与子任务、检查反馈、诊断结论、历史摘要和最终报告。英文示例仅示范格式，不决定输出语言。\n保留工具名、参数名、JSON 字段名、枚举值、状态码、计划语法标记、模板变量、命令、路径、URL、包名及标识符原文。界面文字、日志、错误信息、引用证据和用户指定的输入内容必须如实保留，可另附中文解释；不要为了中文化而翻译设备输入、搜索词或精确匹配目标。\n遵守各自原有输出结构；结构化结果只将允许自由填写的说明文本写成简体中文。只描述已有证据，不编造操作结果。\n\nYou are a precise, evidence-driven verification expert (Checker). You audit declared check items against recorded execution evidence and issue verdicts. You never operate the device, never modify any state, and never negotiate with the executing agent — you only observe, probe read-only state where allowed, and judge.", "base_rules": "# Verdict Rules (always apply)\n- Quote every check item verbatim in `item_text` — never paraphrase.\n- Every verdict MUST carry concrete evidence: a specific probe output, a specific note excerpt, or a specific on-screen/screenshot observation. A `failed` verdict without concrete evidence is invalid and will be downgraded.\n- `inconclusive` means the evidence needed for a judgment was never captured or is genuinely ambiguous. When evidence was never collected, output `inconclusive` and state explicitly that the evidence is missing — do NOT output `failed` for lack of evidence.\n- Judge only what the check item declares. Do not invent additional criteria and do not relax the declared ones.", "verify_semantics": "# `verify` items (completion acceptance criteria)\n- A `verify` item asks: was the anchored subgoal actually accomplished to this standard?\n- A `failed` verify verdict can send its milestone back for repair, so it must include a `suggestion`: a concrete, actionable hint telling the executor what is missing or wrong.\n- The release decision (whether execution proceeds) is computed outside of you and is fail-open on errors; your job is only the truthful verdict value.", "assert_semantics": "# `assert` items (test assertions)\n- An `assert` item is a test expectation, not an instruction. A failed assertion is a legitimate, valuable test result: record it truthfully with evidence. Nothing will (or should) try to repair it.\n- Never mark an assert `failed` merely because evidence is absent — absence of captured evidence is `inconclusive` with an explicit note that the evidence is missing.\n- Precondition first: before judging an assert, confirm from the execution history (step replay, notes, anchor evidence) that the action(s) meant to trigger the asserted behavior were actually and correctly performed by the executor (the toggle was really tapped, the intended screen was really reached).\n- If that precondition is not established — the executor never performed the trigger, performed the wrong action, or the evidence cannot show it — output `inconclusive` and state explicitly that the precondition failed / the triggering action is not confirmed as executed. Never output `failed` here: a failed assert is attributed to the device under test, and an execution problem must not be reported as a device defect.\n- Output `failed` only when the precondition is established AND the device state, probe output, or recorded evidence still contradicts the expectation. The evidence must cite the concrete step(s) that performed the trigger plus the probe output / observation that contradicts the expectation, so the verdict reads as a device-defect diagnosis.\n- `suggestion` is not needed for assert verdicts.", diff --git a/artemis/agents/diagnoser/diagnoser.json b/artemis/agents/diagnoser/diagnoser.json index cebdd7f..72e9ab0 100644 --- a/artemis/agents/diagnoser/diagnoser.json +++ b/artemis/agents/diagnoser/diagnoser.json @@ -1,6 +1,6 @@ { "system_prompt": [ - "# Diagnoser", + "# 输出语言要求\n所有自行撰写的自然语言说明必须使用简体中文，包括每一步的操作说明、计划与子任务、检查反馈、诊断结论、历史摘要和最终报告。英文示例仅示范格式，不决定输出语言。\n保留工具名、参数名、JSON 字段名、枚举值、状态码、计划语法标记、模板变量、命令、路径、URL、包名及标识符原文。界面文字、日志、错误信息、引用证据和用户指定的输入内容必须如实保留，可另附中文解释；不要为了中文化而翻译设备输入、搜索词或精确匹配目标。\n遵守各自原有输出结构；结构化结果只将允许自由填写的说明文本写成简体中文。只描述已有证据，不编造操作结果。\n\n# Diagnoser", "", "## Objective", "You are an expert AI diagnoser. Your objective is to pinpoint the root cause of mobile execution failures by cross-referencing visual evidence (videos/screenshots) with system telemetry (logs). Precisely answer the `Diagnostic Query` based on the provided context.", diff --git a/artemis/agents/diagnoser/diagnoser.py b/artemis/agents/diagnoser/diagnoser.py index bb62ff3..bcf11a4 100644 --- a/artemis/agents/diagnoser/diagnoser.py +++ b/artemis/agents/diagnoser/diagnoser.py @@ -22,6 +22,8 @@ import uuid from langchain_core.messages import BaseMessage, HumanMessage, SystemMessage, ToolMessage +from artemis.llm.structured import content_to_text + from artemis.core.tool_failure import is_tool_failure from artemis.context import ArtemisContext from artemis.data_engine.trace import ( @@ -31,7 +33,7 @@ from artemis.data_engine.trace import ( trace_langchain_tool, ) from artemis.graph.state import State -from artemis.llm.google import usage_from_message +from artemis.llm.usage import usage_from_message from artemis.services.llm import acomplete, get_llm, invoke_llm_with_timeout_message from artemis.tools.command_tool import get_run_short_adb_command_tool from artemis.tools.diagnoser_submit_answer_tool import get_submit_answer_tool @@ -568,7 +570,7 @@ class Diagnoser: response = await self._invoke_model(llm, current_messages, context_components) if response.content: - outcome = response.content + outcome = content_to_text(response.content) if not response.tool_calls: break diff --git a/artemis/agents/explorer/constants.py b/artemis/agents/explorer/constants.py index 872ecef..8f41019 100644 --- a/artemis/agents/explorer/constants.py +++ b/artemis/agents/explorer/constants.py @@ -23,7 +23,9 @@ Explorer tier the user configured. Tier behavior lives in ASK_EXPLORER_TOOL_NAME = "ask_explorer" #: Model used when the LLM configuration carries no Explorer entry. -DEFAULT_EXPLORER_MODEL = "gemini-3.8-flash" +from artemis.config.settings import settings + +DEFAULT_EXPLORER_MODEL = settings.OPENAI_MODEL ASK_EXPLORER_DESCRIPTION = ( "[EXPLORER] Ask the UI Explorer to locate elements on the current screen" diff --git a/artemis/agents/explorer/explorer.json b/artemis/agents/explorer/explorer.json index 373fee8..6af767b 100644 --- a/artemis/agents/explorer/explorer.json +++ b/artemis/agents/explorer/explorer.json @@ -6,7 +6,7 @@ // detect_objects, get_ocr_list, inspect_region, ask_image_processor. // submit_answer is always available. { - "IDENTITY": "You are the agentic UI Explorer: given a phone screenshot and a query, you locate the matching UI element(s) and return their normalized [nx, ny] coordinates on a 0-1000 scale.", + "IDENTITY": "# 输出语言要求\n所有自行撰写的自然语言说明必须使用简体中文，包括每一步的操作说明、计划与子任务、检查反馈、诊断结论、历史摘要和最终报告。英文示例仅示范格式，不决定输出语言。\n保留工具名、参数名、JSON 字段名、枚举值、状态码、计划语法标记、模板变量、命令、路径、URL、包名及标识符原文。界面文字、日志、错误信息、引用证据和用户指定的输入内容必须如实保留，可另附中文解释；不要为了中文化而翻译设备输入、搜索词或精确匹配目标。\n遵守各自原有输出结构；结构化结果只将允许自由填写的说明文本写成简体中文。只描述已有证据，不编造操作结果。\n\nYou are the agentic UI Explorer: given a phone screenshot and a query, you locate the matching UI element(s) and return their normalized [nx, ny] coordinates on a 0-1000 scale.", "OPERATING PRINCIPLES": [ "**Confidence-Driven Cost-Benefit Strategy**: Maximize localization accuracy while minimizing turns and tool calls. Every turn costs latency; stop exploring as soon as further calls would yield negligible accuracy gains.", "**Direct Submit (High Confidence)**: If the initial annotated screenshot and the marked UI element list already make the target coordinates obvious, call `submit_answer` immediately in the first turn.", diff --git a/artemis/agents/explorer/explorer.py b/artemis/agents/explorer/explorer.py index 8855c23..a7a24cb 100644 --- a/artemis/agents/explorer/explorer.py +++ b/artemis/agents/explorer/explorer.py @@ -17,19 +17,16 @@ The :class:`Explorer` class combines the following modules: - ``tiers``: engine, tools and budgets for flash / pro / ultra. -- ``tool_declarations``: static tool schemas (universal + native). +- ``tool_declarations``: Responses function tool schemas. - ``perception_tools``: the ``exec_*`` perception/vision tool method group. - ``universal_runner``: the LangChain-based ``_run_universal`` loop. - ``run_setup``: flash mode and the pre-loop setup phases of ``run``. -- ``native_runner``: the native Gemini reasoning loop of ``run``. """ import json import os from typing import Any, Literal -from google import genai -from google.genai import types from artemis.agents.explorer.constants import DEFAULT_EXPLORER_MODEL from artemis.agents.explorer.geometry import ( @@ -38,18 +35,16 @@ from artemis.agents.explorer.geometry import ( norm_to_pixel, pixel_to_norm, ) -from artemis.agents.explorer.native_runner import NativeRunnerMixin from artemis.agents.explorer.perception_tools import PerceptionToolsMixin from artemis.agents.explorer.run_setup import RunSetupMixin from artemis.agents.explorer.screen_index import normalize_text, ScreenElement, ScreenIndex from artemis.agents.explorer.tiers import ExplorerTier, get_tier -from artemis.agents.explorer.tool_declarations import NATIVE_EXPLORER_TOOL_DECLARATIONS +from artemis.agents.explorer.tool_declarations import UNIVERSAL_EXPLORER_TOOLS from artemis.agents.explorer.universal_runner import UniversalRunnerMixin from artemis.config import settings from artemis.context import ArtemisContext from artemis.data_engine.trace import trace from artemis.graph.state import State -from artemis.llm.google import is_gemini_model, strip_provider_prefix from artemis.utils.logger import get_logger from artemis.utils.ocr_api import is_ocr_configured @@ -57,28 +52,25 @@ logger = get_logger(__name__) __all__ = ["Explorer"] -#: Environment override for Gemini explicit context caching ("true" / "false"). -CACHING_ENV_VAR = "ARTEMIS_EXPLORER_CACHING" - #: How far outside its labeled element (as a fraction of the screen, per side) #: a candidate's point may fall and still inherit that element's bounds. LABEL_TOLERANCE_RATIO = 0.02 -class Explorer(PerceptionToolsMixin, UniversalRunnerMixin, RunSetupMixin, NativeRunnerMixin): +class Explorer(PerceptionToolsMixin, UniversalRunnerMixin, RunSetupMixin): """Locates UI elements on a screenshot for the ``ask_explorer`` tool. The tier (flash / pro / ultra) is applied per ``run`` call from :data:`artemis.agents.explorer.tiers.EXPLORER_TIERS`; it decides the engine, the turn budget, the exposed perception tools and the caching default. Construction is side-effect free: no network client is created - until the native Gemini branch actually needs one. + until the Responses execution loop needs one. """ DENYLIST_TEMPLATE = ( "\n# TOOL DENYLIST\n- The following tools are denylisted and cannot be used: {tools}\n" ) - TOOLS = NATIVE_EXPLORER_TOOL_DECLARATIONS + TOOLS = UNIVERSAL_EXPLORER_TOOLS def __init__(self, ctx: ArtemisContext): self.ctx = ctx @@ -107,7 +99,6 @@ class Explorer(PerceptionToolsMixin, UniversalRunnerMixin, RunSetupMixin, Native self.denylisted_tools = self._compute_denylist(None) self.model_name = self._resolve_model_name() - self.use_native_gemini = self._detect_native_engine() # ------------------------------------------------------------------ # # Engine selection (no side effects) @@ -119,37 +110,7 @@ class Explorer(PerceptionToolsMixin, UniversalRunnerMixin, RunSetupMixin, Native llm_cfg = getattr(llm_config, "explorer", None) if llm_config else None model = getattr(llm_cfg, "model", None) if llm_cfg else None model_name = model if isinstance(model, str) and model else DEFAULT_EXPLORER_MODEL - return strip_provider_prefix(model_name) - - def _detect_native_engine(self) -> bool: - """True when the native google-genai SDK should drive the reasoning loop. - - A Gemini model alone is not enough: without a Google API key (or a - client already shared on the context) the SDK cannot be constructed, - so such configurations run through the universal LangChain engine. - """ - if not is_gemini_model(self.model_name): - return False - if getattr(self.ctx, "_genai_client", None) is not None: - return True - api_key = getattr(settings, "GOOGLE_API_KEY", None) - return bool(api_key and api_key.get_secret_value()) - - def _ensure_genai_client(self): - """Returns the context-level GenAI client, creating it on first use. - - Only the native branch calls this, so universal configurations never - touch ``genai`` (and never fail on a missing Google key). The client - is stored on the context for connection pooling across agents. - """ - client = getattr(self.ctx, "_genai_client", None) - if client is None: - logger.info("Initializing GenAI client on context for connection pooling (Explorer)") - api_key = getattr(settings, "GOOGLE_API_KEY", None) - client = genai.Client(api_key=api_key.get_secret_value() if api_key else None) - self.ctx._genai_client = client - self.client = client - return client + return model_name # ------------------------------------------------------------------ # # Tier application @@ -180,32 +141,6 @@ class Explorer(PerceptionToolsMixin, UniversalRunnerMixin, RunSetupMixin, Native self.max_turns = tier.max_turns self.denylisted_tools = self._compute_denylist(tier) - def _resolve_caching(self, tier: ExplorerTier, enable_caching: bool | None) -> bool: - """Resolves Gemini explicit context caching for this run. - - Precedence: explicit argument, ``ARTEMIS_EXPLORER_CACHING`` env - override, the agent configuration, the execution setup, the global - settings, then the tier default. Configuration values are only - trusted when they are real booleans so a mocked or malformed config - (``None``, sentinel objects) falls through instead of forcing a value. - """ - if isinstance(enable_caching, bool): - return enable_caching - env_value = os.getenv(CACHING_ENV_VAR, "").strip().lower() - if env_value in ("true", "false"): - return env_value == "true" - for source in ( - getattr(self.ctx, "agent_config", None), - getattr(self.ctx, "execution_setup", None), - ): - value = getattr(getattr(source, "explorer", None), "caching", None) - if isinstance(value, bool): - return value - value = getattr(settings, "EXPLORER_CACHING", None) - if isinstance(value, bool): - return value - return tier.caching - def _hidden_tool_names(self) -> set[str]: """Denylisted tools plus OCR when it is unconfigured, evaluated at call time. @@ -218,34 +153,14 @@ class Explorer(PerceptionToolsMixin, UniversalRunnerMixin, RunSetupMixin, Native hidden.add("get_ocr_list") return hidden - def get_exposed_tools(self, only_submit: bool = False) -> list[types.FunctionDeclaration]: + def get_exposed_tools(self, only_submit: bool = False) -> list[dict[str, Any]]: """Native tool declarations the model may see for the current tier.""" hidden = self._hidden_tool_names() - tools = [tool for tool in self.TOOLS if tool.name not in hidden] + tools = [tool for tool in self.TOOLS if tool["function"]["name"] not in hidden] if only_submit: - tools = [tool for tool in tools if tool.name == "submit_answer"] + tools = [tool for tool in tools if tool["function"]["name"] == "submit_answer"] return tools - def _prune_historical_images(self, contents, keep_last=1): - image_parts = [] - for content in contents: - for part in content.parts: - if getattr(part, "inline_data", None) or getattr(part, "file_data", None): - image_parts.append(part) - if len(image_parts) <= keep_last: - return - to_keep_ids = {id(p) for p in image_parts[-keep_last:]} - for content in contents: - content.parts = [ - types.Part.from_text( - text=("[Image pruned to maintain visual focus on latest state]") - ) - if (getattr(p, "inline_data", None) or getattr(p, "file_data", None)) - and id(p) not in to_keep_ids - else p - for p in content.parts - ] - # ------------------------------------------------------------------ # # Label bounds and the structural pre-pass # ------------------------------------------------------------------ # @@ -434,30 +349,13 @@ class Explorer(PerceptionToolsMixin, UniversalRunnerMixin, RunSetupMixin, Native fused_xml, screenshot_path, minimal_list, self.image_name ) - if not self.use_native_gemini: - return await self._run_universal( - query=query, - context_feedback=context_feedback, - screenshot_path=img_to_read, - state=state, - minimal_list=minimal_list, - prompt_template=prompt_template, - max_turns=self.max_turns, - ) - - client = self._ensure_genai_client() - model_name, temperature, thinking_level, _fallback_model = self._resolve_model_params() - return await self._run_native( - client=client, + return await self._run_universal( query=query, context_feedback=context_feedback, + screenshot_path=img_to_read, + state=state, minimal_list=minimal_list, - img_to_read=img_to_read, - enable_caching=self._resolve_caching(tier, enable_caching), prompt_template=prompt_template, - model_name=model_name, - temperature=temperature, - thinking_level=thinking_level, max_turns=self.max_turns, ) diff --git a/artemis/agents/explorer/native_runner.py b/artemis/agents/explorer/native_runner.py deleted file mode 100644 index 3f62c99..0000000 --- a/artemis/agents/explorer/native_runner.py +++ /dev/null @@ -1,878 +0,0 @@ -# Copyright 2026 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -"""Native Gemini execution loop of ``Explorer.run``. - -Split out of ``artemis.agents.explorer.explorer``: the native-SDK reasoning -loop and its named phases (model invocation, submit_answer interception and -validation, tool dispatching, failure mapping, resource cleanup), packaged as -a mixin consumed by ``Explorer``. Every google-genai call goes through the -SDK's ``client.aio`` surface so uploads, cache management and generation -never block the event loop. This module also owns -:func:`_generate_content_with_reliability`, the shared reliability wrapper -for native google-genai model calls. -""" - -import asyncio -from collections.abc import Awaitable, Callable -import json -import os -import time -from typing import TYPE_CHECKING, Any - -from google.genai import types - -from artemis.agents.explorer.geometry import is_valid_norm_point -from artemis.agents.explorer.tiers import SUBMIT_TOOL -from artemis.constants import SAFETY_SETTINGS_BLOCK_NONE -from artemis.data_engine.trace import TraceSpan -from artemis.llm.reliability import ( - LLMExhaustedError, - LLMPermanentError, - classify_failure, - retry_policy_for, -) -from artemis.services.llm import _record_llm_event, _record_llm_retry -from artemis.utils.logger import get_logger - -logger = get_logger(__name__) - -#: Loads a local image as a ``Part`` (inline bytes or a File API reference). -ImagePartGetter = Callable[[str], Awaitable[types.Part]] - - -async def _generate_content_with_reliability(operation, *, label: str = "Explorer model call"): - """Run one native google-genai model call under the shared reliability layer. - - ``operation`` must return a fresh awaitable on each call. Non-retryable - failures raise ``LLMPermanentError``; exhausted retries raise - ``LLMExhaustedError`` according to the shared category policy. - """ - attempt = 0 - while True: - try: - return await operation() - except Exception as call_err: - attempt += 1 - failure = classify_failure(call_err) - if not failure.retryable: - logger.error(f"{label} permanently failed [{failure.category.value}]: {call_err}") - _record_llm_event( - "llm_gave_up", - { - "source": "explorer", - "error": str(call_err)[:1000], - "category": failure.category.value, - "retryable": False, - }, - status="failed", - ) - raise LLMPermanentError( - f"{label} failed [{failure.category.value}]: {call_err}", - failure=failure, - cause=call_err, - ) from call_err - policy = retry_policy_for(failure.category) - if attempt >= policy.max_attempts: - logger.error( - f"{label} exhausted {attempt} attempt(s) [{failure.category.value}]: {call_err}" - ) - _record_llm_event( - "llm_gave_up", - { - "source": "explorer", - "error": str(call_err)[:1000], - "category": failure.category.value, - "retryable": True, - "attempts": attempt, - }, - status="failed", - ) - raise LLMExhaustedError( - f"{label} exhausted {attempt} attempt(s)" - f" [{failure.category.value}]: {call_err}", - failure=failure, - cause=call_err, - ) from call_err - delay = policy.delay_for(attempt) - logger.warning( - f"{label} failed [{failure.category.value}] on attempt" - f" {attempt}/{policy.max_attempts}: {call_err}." - f" Retrying in {delay:.2f}s..." - ) - _record_llm_retry( - str(call_err), - delay, - attempt=attempt, - max_retries=policy.max_attempts, - source="explorer", - ) - await asyncio.sleep(delay) - - -def _bare_tool_name(name: str) -> str: - """Strips a namespace prefix (``ns:tool``) some models add to tool names.""" - return name.split(":")[-1] if ":" in name else name - - -class NativeRunnerMixin: - """Native Gemini SDK reasoning loop of :class:`Explorer`.""" - - # This mixin is composed into ``Explorer``. Declaring the attributes and - # sibling-mixin methods it consumes makes that host contract visible to - # static analysis without adding runtime shims or changing MRO behavior. - if TYPE_CHECKING: - from artemis.context import ArtemisContext - - ctx: ArtemisContext - denylisted_tools: set[str] - turn_latencies: list[float] - turn_cached_tokens: list[int] - trace_history: list[dict[str, Any]] - - def get_exposed_tools( - self, only_submit: bool = False - ) -> list[types.FunctionDeclaration]: ... - - def _prune_historical_images(self, contents: list, keep_last: int = 1) -> None: ... - - def _enrich_candidates(self, candidates: list[Any]) -> list[Any]: ... - - async def exec_ask_perception_tool( - self, - search_query: str, - nx: int, - ny: int, - detect_queries: list[str], - ) -> dict[str, Any]: ... - - async def exec_detect_objects( - self, queries: list[str], target_image_id: str = "img_0" - ) -> dict[str, Any]: ... - - async def exec_ask_image_processor( - self, instruction: str, target_image_id: str = "img_0" - ) -> dict[str, Any]: ... - - async def exec_get_ocr_list(self) -> dict[str, Any]: ... - - async def exec_inspect_region( - self, - x_min: int, - y_min: int, - x_max: int, - y_max: int, - zoom_factor: float = 2.0, - ) -> dict[str, Any]: ... - - def _make_image_part_getter( - self, client, use_file_api: bool, uploaded_files: list - ) -> ImagePartGetter: - """Builds the image-part loader used for screenshots and tool images.""" - - async def get_image_part(file_path: str) -> types.Part: - if use_file_api: - file_ref = await client.aio.files.upload(file=file_path) - uploaded_files.append(file_ref) - return types.Part( - file_data=types.FileData( - file_uri=file_ref.uri, - mime_type=file_ref.mime_type or "image/jpeg", - ) - ) - with open(file_path, "rb") as f: - img_bytes = f.read() - return types.Part.from_bytes(data=img_bytes, mime_type="image/jpeg") - - return get_image_part - - def _build_initial_contents( - self, query: str, context_feedback: str, minimal_list: str, initial_part: types.Part - ) -> list[types.Content]: - """Builds the initial user content with the operator request and screenshot.""" - return [ - types.Content( - role="user", - parts=[ - types.Part.from_text( - text=f"""Operator Request: -- Query: {query} -- Context Feedback: {context_feedback} - -Initial marked UI elements list (corresponding to numbers ①, ②... in the image): -{minimal_list} -""" - ), - initial_part, - ], - ) - ] - - async def _create_cache_resource( - self, client, model_name: str, prompt_template: str, contents: list - ): - """Creates the explicit cache resource; returns None on failure.""" - try: - logger.info("Creating cache resource for Explorer...") - cached_content = await client.aio.caches.create( - model=model_name, - config=types.CreateCachedContentConfig( - contents=[contents[0]], - system_instruction=prompt_template, - tools=[types.Tool(function_declarations=self.get_exposed_tools())], - tool_config=types.ToolConfig( - function_calling_config=types.FunctionCallingConfig( - mode=types.FunctionCallingConfigMode.ANY - ), - include_server_side_tool_invocations=True, - ), - ttl="300s", - ), - ) - logger.info(f"Cache resource created successfully: {cached_content.name}") - return cached_content - except Exception as cache_err: - logger.error(f"Failed to create cache resource: {cache_err}") - return None - - async def _run_native( - self, - *, - client, - query: str, - context_feedback: str, - minimal_list: str, - img_to_read: str, - enable_caching: bool, - prompt_template: str, - model_name: str, - temperature, - thinking_level, - max_turns: int, - ) -> str: - """Runs the native Gemini path: cache setup, reasoning loop, cleanup.""" - use_file_api = os.getenv("ARTEMIS_USE_FILE_API", "false").lower() == "true" - uploaded_files: list = [] - get_image_part = self._make_image_part_getter(client, use_file_api, uploaded_files) - - cached_content = None - try: - initial_part = await get_image_part(img_to_read) - contents = self._build_initial_contents( - query, context_feedback, minimal_list, initial_part - ) - - if enable_caching: - cached_content = await self._create_cache_resource( - client, model_name, prompt_template, contents - ) - - agent_outcome = await self._native_loop( - client=client, - contents=contents, - get_image_part=get_image_part, - cached_content=cached_content, - prompt_template=prompt_template, - model_name=model_name, - temperature=temperature, - thinking_level=thinking_level, - max_turns=max_turns, - ) - - except Exception as e: - agent_outcome = self._format_native_failure(e, model_name) - finally: - await self._cleanup_native_resources(client, cached_content, uploaded_files) - - return agent_outcome - - async def _native_loop( - self, - *, - client, - contents: list, - get_image_part: ImagePartGetter, - cached_content, - prompt_template: str, - model_name: str, - temperature, - thinking_level, - max_turns: int, - ) -> str: - """Main native reasoning loop: one model turn per iteration.""" - turn = 0 - agent_outcome = "" - self.turn_latencies = [] - self.turn_cached_tokens = [] - self.trace_history = [] - - while turn < max_turns: - turn += 1 - logger.info(f"Turn {turn}/{max_turns}: Invoking Native Gemini SDK for Explorer...") - - self._prune_historical_images(contents, keep_last=1) - - is_final_turn = turn == max_turns - if is_final_turn: - warning_msg = ( - "\n[WARNING] This is your final iteration. You MUST" - " call 'submit_answer' to submit your final result. No" - " other tools are available." - ) - contents.append( - types.Content( - role="user", - parts=[types.Part.from_text(text=warning_msg)], - ) - ) - - response, thinking_parts, text_parts = await self._invoke_native_model( - client=client, - contents=contents, - cached_content=cached_content, - is_final_turn=is_final_turn, - prompt_template=prompt_template, - model_name=model_name, - temperature=temperature, - thinking_level=thinking_level, - ) - - turn_record = { - "iteration": turn, - "thoughts": ("\n".join(thinking_parts) if thinking_parts else ""), - "tool_calls": [], - } - - function_calls = response.function_calls - if not function_calls: - self._handle_missing_tool_calls( - contents, response, turn_record, text_parts, max_turns, turn - ) - continue - - # Record the model's function call request in history - contents.append(self._model_content(response, function_calls)) - - tool_response_parts: list[types.Part] = [] - - # Intercept and validate submit_answer to manage the task lifecycle - submit_outcome = self._process_submit_answer( - function_calls, turn_record, tool_response_parts - ) - if submit_outcome is not None: - agent_outcome = submit_outcome - break - - await self._dispatch_tool_calls( - function_calls, get_image_part, turn_record, tool_response_parts - ) - - if tool_response_parts: - # Native Gemini SDK allows the 'user' role to return mixed parts - contents.append(types.Content(role="user", parts=tool_response_parts)) - - self.trace_history.append(turn_record) - - if turn >= max_turns and not agent_outcome: - agent_outcome = ( - "Error: Explorer reached maximum iterations without a conclusive answer." - ) - - return agent_outcome - - @staticmethod - def _model_content(response, function_calls: list) -> types.Content: - """The model turn to record: the SDK's content when present, else a rebuild.""" - candidates = getattr(response, "candidates", None) - if candidates: - content = getattr(candidates[0], "content", None) - if content: - return content - return types.Content( - role="model", - parts=[types.Part(function_call=fc) for fc in function_calls], - ) - - def _build_generate_config( - self, - *, - cached_content, - is_final_turn: bool, - prompt_template: str, - temperature, - thinking_level, - ) -> types.GenerateContentConfig: - """Builds the per-turn generation config (cached vs full tool config).""" - thinking_config = ( - types.ThinkingConfig(thinking_level=thinking_level) if thinking_level else None - ) - if cached_content and not is_final_turn: - return types.GenerateContentConfig( - cached_content=cached_content.name, - temperature=temperature, - safety_settings=SAFETY_SETTINGS_BLOCK_NONE, - thinking_config=thinking_config, - ) - return types.GenerateContentConfig( - system_instruction=prompt_template, - temperature=temperature, - safety_settings=SAFETY_SETTINGS_BLOCK_NONE, - tools=[ - types.Tool(function_declarations=self.get_exposed_tools(only_submit=is_final_turn)) - ], - tool_config=types.ToolConfig( - function_calling_config=types.FunctionCallingConfig( - mode=types.FunctionCallingConfigMode.ANY - ), - include_server_side_tool_invocations=True, - ), - thinking_config=thinking_config, - ) - - @staticmethod - def _extract_response_texts(response) -> tuple[list[str], list[str]]: - """Extracts model thoughts and plain text parts from a response.""" - thinking_parts = [] - text_parts = [] - candidates = getattr(response, "candidates", None) - if not candidates and isinstance(response, dict): - candidates = response.get("candidates") - - if candidates and len(candidates) > 0: - candidate = candidates[0] - content = getattr(candidate, "content", None) - if not content and isinstance(candidate, dict): - content = candidate.get("content") - - parts = getattr(content, "parts", None) - if not parts and isinstance(content, dict): - parts = content.get("parts") - - if parts: - for part in parts: - is_thought = False - part_text = None - if isinstance(part, dict): - is_thought = part.get("thought", False) - part_text = part.get("text", None) - else: - is_thought = getattr(part, "thought", False) - part_text = getattr(part, "text", None) - - if is_thought and part_text: - thinking_parts.append(part_text) - elif part_text: - text_parts.append(part_text) - return thinking_parts, text_parts - - async def _invoke_native_model( - self, - *, - client, - contents: list, - cached_content, - is_final_turn: bool, - prompt_template: str, - model_name: str, - temperature, - thinking_level, - ): - """Invokes the model for one turn under a trace span; returns response and texts.""" - ctx = self.ctx - start_turn = time.perf_counter() - with TraceSpan(name="gemini_explorer_call", ctx=ctx) as span: - generate_config = self._build_generate_config( - cached_content=cached_content, - is_final_turn=is_final_turn, - prompt_template=prompt_template, - temperature=temperature, - thinking_level=thinking_level, - ) - - response = await _generate_content_with_reliability( - lambda: asyncio.wait_for( - client.aio.models.generate_content( - model=model_name, - contents=contents, - config=generate_config, - ), - timeout=180, - ), - ) - end_turn = time.perf_counter() - turn_dur = end_turn - start_turn - self.turn_latencies.append(turn_dur) - - cached_tokens = 0 - if getattr(response, "usage_metadata", None) and getattr( - response.usage_metadata, - "cached_content_token_count", - None, - ): - cached_tokens = response.usage_metadata.cached_content_token_count - self.turn_cached_tokens.append(cached_tokens) - span.result = ( - f"Function calls: {len(response.function_calls)}" - if response.function_calls - else "Final answer" - ) - # Extract and log model thoughts and text if present - thinking_parts, text_parts = self._extract_response_texts(response) - if thinking_parts: - span.payload["explorer_thought"] = "\n".join(thinking_parts) - if text_parts: - span.payload["explorer_text"] = "\n".join(text_parts) - - return response, thinking_parts, text_parts - - def _handle_missing_tool_calls( - self, - contents: list, - response, - turn_record: dict, - text_parts: list[str], - max_turns: int, - turn: int, - ) -> None: - """Handles a turn where the model produced plain text instead of tool calls. - - Responses without candidates (safety blocks, empty replies) are - recorded as a synthetic model text part so the conversation history - stays well-formed for the retry. - """ - logger.warning(f"Explorer turn {turn}: Model hallucinated plain text. Forcing retry.") - model_text = "\n".join(text_parts) if text_parts else "" - turn_record["tool_calls"].append( - { - "name": "hallucinated_plain_text", - "args": {"text": model_text}, - "response": { - "error": ( - "Forced retry because model failed to call submit_answer or any other tool" - ) - }, - } - ) - self.trace_history.append(turn_record) - - candidates = getattr(response, "candidates", None) - model_content = getattr(candidates[0], "content", None) if candidates else None - if not model_content: - model_content = types.Content( - role="model", - parts=[types.Part.from_text(text=model_text or "(no response)")], - ) - contents.append(model_content) - contents.append( - types.Content( - role="user", - parts=[ - types.Part.from_text( - text=( - "You have not called 'submit_answer'" - " to submit your final answer yet. If" - " you are not certain about the final" - " answer, you can continue exploring" - f" {max_turns - turn} more" - " time(s)." - ) - ) - ], - ) - ) - - @staticmethod - def _validate_submit_args(function_calls: list, args: dict, candidates: list) -> list[str]: - """Validates a submit_answer call; returns the list of validation errors.""" - errors = [] - - if len(function_calls) > 1: - errors.append( - "The tool 'submit_answer' MUST be called" - " individually in your final turn without any other" - " parallel tool calls. Please remove other tool" - " calls and re-submit." - ) - - fallback_message = args.get("fallback_message", "") - if not candidates and not fallback_message: - errors.append( - "The candidates list is empty. You must provide at" - " least one candidate matching the query, or" - " explain observations via fallback_message." - ) - - for i, cand in enumerate(candidates): - label = cand.get("label") - coords = cand.get("coords") - if not label: - errors.append(f"Candidate at index {i} is missing a 'label'.") - if not coords or not isinstance(coords, list) or len(coords) != 2: - errors.append( - f"Candidate '{label or i}' must have 'coords'" - " as an array of exactly 2 integers `[nx," - " ny]`." - ) - elif not is_valid_norm_point(coords): - try: - nx, ny = int(coords[0]), int(coords[1]) - except (ValueError, TypeError): - errors.append(f"Candidate '{label or i}' coordinates are invalid integers.") - else: - errors.append( - f"Candidate '{label or i}' coordinates" - f" `[{nx}, {ny}]` must strictly be in" - " the `[0-1000]` normalized scale" - " range inclusive." - ) - - return errors - - def _process_submit_answer( - self, function_calls: list, turn_record: dict, tool_response_parts: list - ) -> str | None: - """Intercepts submit_answer; returns the final outcome JSON when valid. - - On validation failure the error is fed back as a tool response and - None is returned so the ReAct loop can continue and self-correct. - """ - submit_call = next( - (fc for fc in function_calls if _bare_tool_name(fc.name) == SUBMIT_TOOL), - None, - ) - if not submit_call: - return None - - args = submit_call.args or {} - candidates = args.get("candidates", []) - errors = self._validate_submit_args(function_calls, args, candidates) - - if errors: - logger.warning(f"Explorer submit_answer validation failed: {errors}") - turn_record["tool_calls"].append( - { - "name": SUBMIT_TOOL, - "args": args, - "response": {"error": ("Validation Failed:\n" + "\n".join(errors))}, - } - ) - tool_response_parts.append( - types.Part.from_function_response( - name=SUBMIT_TOOL, - response={ - "error": ( - "Validation Failed:\n" - + "\n".join(errors) - + "\nPlease correct these formatting" - " errors and re-submit using" - " submit_answer." - ) - }, - ) - ) - # Allow the ReAct loop to continue so the model can self-correct - return None - - logger.info("Explorer submit_answer validation passed successfully!") - # Candidates submitted by a registered label inherit that element's - # bounds; the rest of the model's arguments are passed through as is. - outcome_args = dict(args) - outcome_args["candidates"] = self._enrich_candidates(candidates) - agent_outcome = json.dumps(outcome_args, ensure_ascii=False) - turn_record["tool_calls"].append( - {"name": SUBMIT_TOOL, "args": args, "response": {"result": "success"}} - ) - self.trace_history.append(turn_record) - return agent_outcome - - @staticmethod - async def _append_tool_response_with_images( - name: str, - res: dict, - get_image_part: ImagePartGetter, - tool_response_parts: list, - *, - result_key: str = "result", - ) -> None: - """Appends a tool result part plus every annotated image it produced. - - Image loading failures are logged and skipped: the textual result is - still delivered, so one unreadable annotation cannot sink the turn. - """ - tool_response_parts.append( - types.Part.from_function_response(name=name, response={result_key: res.get("text")}) - ) - image_paths = [p for p in [res.get("image_path"), *(res.get("image_paths") or [])] if p] - for img_p in image_paths: - try: - tool_response_parts.append(await get_image_part(img_p)) - except Exception as e: - logger.warning(f"Failed to load image response part for {img_p}: {e}") - - async def _execute_native_tool( - self, - name: str, - args: dict, - get_image_part: ImagePartGetter, - tool_call_trace: dict, - tool_response_parts: list, - ) -> None: - """Executes one non-submit tool call and appends its response parts.""" - if name == "ask_perception_tool": - search_query = args.get("search_query") - nx = args.get("nx") - ny = args.get("ny") - detect_queries = args.get("detect_queries") - res = await self.exec_ask_perception_tool( - search_query=search_query if isinstance(search_query, str) else "", - nx=nx if isinstance(nx, int) else -1, - ny=ny if isinstance(ny, int) else -1, - detect_queries=detect_queries if isinstance(detect_queries, list) else [], - ) - tool_call_trace["response"] = res - await self._append_tool_response_with_images( - name, res, get_image_part, tool_response_parts, result_key="text" - ) - elif name == "detect_objects": - res = await self.exec_detect_objects( - queries=args.get("queries") or [], - target_image_id=args.get("target_image_id", "img_0"), - ) - tool_call_trace["response"] = res - await self._append_tool_response_with_images( - name, res, get_image_part, tool_response_parts - ) - elif name == "ask_image_processor": - res = await self.exec_ask_image_processor( - instruction=args.get("instruction") or "", - target_image_id=args.get("target_image_id", "img_0"), - ) - tool_call_trace["response"] = res - await self._append_tool_response_with_images( - name, res, get_image_part, tool_response_parts - ) - elif name == "get_ocr_list": - res = await self.exec_get_ocr_list() - tool_call_trace["response"] = res - await self._append_tool_response_with_images( - name, res, get_image_part, tool_response_parts - ) - elif name == "inspect_region": - res = await self.exec_inspect_region( - x_min=args["x_min"], - y_min=args["y_min"], - x_max=args["x_max"], - y_max=args["y_max"], - zoom_factor=args.get("zoom_factor", 2.0), - ) - tool_call_trace["response"] = res - await self._append_tool_response_with_images( - name, res, get_image_part, tool_response_parts - ) - else: - tool_call_trace["response"] = {"error": f"Tool {name} not found"} - tool_response_parts.append( - types.Part.from_function_response( - name=name, - response={"error": f"Tool {name} not found"}, - ) - ) - - async def _dispatch_tool_calls( - self, - function_calls: list, - get_image_part: ImagePartGetter, - turn_record: dict, - tool_response_parts: list, - ) -> None: - """Dispatches all non-submit tool calls sequentially with tracing. - - Denylisted names are refused here as well, even though they are - absent from the declarations, because models occasionally call tools - they were never offered. - """ - for fc in function_calls: - name = _bare_tool_name(fc.name) - if name == SUBMIT_TOOL: - continue - args = fc.args or {} - tool_call_trace = {"name": name, "args": args} - if name in self.denylisted_tools: - logger.warning( - f"Explorer attempted to call denylisted tool '{name}'. Blocking execution." - ) - error = f"Tool '{name}' is denylisted and unavailable." - tool_call_trace["response"] = {"error": error} - turn_record["tool_calls"].append(tool_call_trace) - tool_response_parts.append( - types.Part.from_function_response(name=fc.name, response={"error": error}) - ) - continue - - logger.info(f"Explorer executing tool '{name}' sequentially...") - - try: - await self._execute_native_tool( - name, args, get_image_part, tool_call_trace, tool_response_parts - ) - except Exception as e: - logger.error(f"Explorer tool {name} execution failed: {e}") - tool_call_trace["response"] = {"error": str(e)} - tool_response_parts.append( - types.Part.from_function_response(name=name, response={"error": str(e)}) - ) - finally: - turn_record["tool_calls"].append(tool_call_trace) - - def _format_native_failure(self, e: Exception, model_name: str) -> str: - """Maps a loop failure to the user-facing fallback outcome JSON.""" - logger.error(f"Explorer execution loop failed: {e}") - - err_msg = str(e) - if "preempted" in err_msg.lower(): - clean_msg = ( - "Model request was preempted by the server due to high" - " demand. Please try again later." - ) - elif "overloaded" in err_msg.lower() or "503" in err_msg: - clean_msg = "Model service is currently overloaded. Please try again later." - elif "quota" in err_msg.lower() or "429" in err_msg: - clean_msg = "Model API quota exceeded or rate limited." - elif "thinkingconfig" in err_msg.lower(): - clean_msg = ( - "Model configuration error: ThinkingConfig is not" - f" supported for model {model_name}." - ) - else: - clean_msg = f"Explorer agent execution failed: {err_msg}" - - return json.dumps( - {"candidates": [], "fallback_message": clean_msg}, - ensure_ascii=False, - ) - - async def _cleanup_native_resources(self, client, cached_content, uploaded_files: list) -> None: - """Deletes the cache resource and File API uploads created for this run.""" - if cached_content: - try: - logger.info(f"Deleting cache resource: {cached_content.name}") - await client.aio.caches.delete(name=cached_content.name) - except Exception as cleanup_cache_err: - logger.warning(f"Failed to delete cache resource: {cleanup_cache_err}") - for file_ref in uploaded_files: - try: - await client.aio.files.delete(name=file_ref.name) - except Exception as cleanup_err: - logger.warning(f"Failed to delete uploaded file {file_ref.name}: {cleanup_err}") - logger.info(f"Explorer turn latencies: {self.turn_latencies}") diff --git a/artemis/agents/explorer/tool_declarations.py b/artemis/agents/explorer/tool_declarations.py index 52251a9..927473f 100644 --- a/artemis/agents/explorer/tool_declarations.py +++ b/artemis/agents/explorer/tool_declarations.py @@ -14,14 +14,9 @@ """Static tool declarations for the Explorer agent. -Split out of ``artemis.agents.explorer.explorer`` as pure data: -``UNIVERSAL_EXPLORER_TOOLS`` (OpenAI-style dict schemas for the universal -LangChain path) and ``NATIVE_EXPLORER_TOOL_DECLARATIONS`` (google-genai -``FunctionDeclaration`` objects for the native Gemini path). +OpenAI function schemas consumed by the Responses model adapter. """ -from google.genai import types - UNIVERSAL_EXPLORER_TOOLS = [ { "type": "function", @@ -183,212 +178,3 @@ UNIVERSAL_EXPLORER_TOOLS = [ }, }, ] - - -NATIVE_EXPLORER_TOOL_DECLARATIONS = [ - types.FunctionDeclaration( - name="ask_perception_tool", - description=( - "[Perception] Concurrently executes and awaits three sub-tasks" - " in parallel, including UI-tree text search, coordinate audit," - " and visual object detection on the screen.\n\nOutput" - " Format:\nReturns:'text' (str): A single string consolidating" - " results with 0-1000 normalized coordinates, including UI" - " search matches labeled [X]," - " coordinate search matches labeled [X], and visually detected" - " object targets labeled [D].\n(Annotated screenshots are also" - " added to the context containing corresponding colored label" - " dots)." - ), - parameters=types.Schema( - type=types.Type.OBJECT, - properties={ - "search_query": types.Schema( - type=types.Type.STRING, - description=("Required. Text query to search for in UI elements."), - ), - "nx": types.Schema( - type=types.Type.INTEGER, - description=( - "Required. Normalized X coordinate (0-1000 range)" - " to audit for overlapping elements." - ), - ), - "ny": types.Schema( - type=types.Type.INTEGER, - description=( - "Required. Normalized Y coordinate (0-1000 range)" - " to audit for overlapping elements." - ), - ), - "detect_queries": types.Schema( - type=types.Type.ARRAY, - items=types.Schema(type=types.Type.STRING), - description=( - "Required. List of query strings to visually detect on the screen." - ), - ), - }, - required=["search_query", "nx", "ny", "detect_queries"], - ), - ), - types.FunctionDeclaration( - name="detect_objects", - description=( - "[Perception] Locates elements, shapes and more using a" - " VLM. Returns their normalized coordinates (in a [0, 1000]" - " scale) labeled with [D1], [D2] etc. in the text output, along" - " with an annotated image containing corresponding visual label" - " dots." - ), - parameters=types.Schema( - type=types.Type.OBJECT, - properties={ - "target_image_id": types.Schema( - type=types.Type.STRING, - description="The ID of the image to process.", - ), - "queries": types.Schema( - type=types.Type.ARRAY, - items=types.Schema(type=types.Type.STRING), - description=("A list of single query strings to detect on the screen."), - ), - }, - required=["queries", "target_image_id"], - ), - ), - types.FunctionDeclaration( - name="get_ocr_list", - description=( - "[Perception] Retrieves all text elements detected on the" - " original, unprocessed screen via OCR. Returns their" - " normalized coordinates (in a [0, 1000] scale) labeled with" - " [O1], [O2] etc. in the text output, along with an annotated" - " image containing corresponding visual label dots." - ), - parameters=types.Schema( - type=types.Type.OBJECT, - properties={}, - ), - ), - types.FunctionDeclaration( - name="ask_image_processor", - description=( - "[Transformation] A scripting tool for pixel-level image" - " processing. CAUTION: This tool is slow and expensive. Returns" - " a summary of the operations performed and new image IDs," - " along with new labels and screen coordinates." - ), - parameters=types.Schema( - type=types.Type.OBJECT, - properties={ - "target_image_id": types.Schema( - type=types.Type.STRING, - description=( - "The ID of the image in the Image Pool to start" - " from (e.g. 'img_0', 'img_1')." - ), - ), - "instruction": types.Schema( - type=types.Type.STRING, - description=( - "1-2 precise commands describing a simple task." - " Include all necessary coordinates and other" - " parameters.\n" - ), - ), - }, - required=["instruction", "target_image_id"], - ), - ), - types.FunctionDeclaration( - name="submit_answer", - description=( - "[Finalization] Submits the final list of ranked candidate UI" - " elements matching the search query, or a fallback message if" - " no elements were found, to complete the search task. Fails" - " validation if: (1) candidates is empty and no" - " fallback_message is provided, (2) coordinates are not exactly" - " 2 integers [nx, ny], or (3) coordinates lie outside" - " normalized [0, 1000] range." - ), - parameters=types.Schema( - type=types.Type.OBJECT, - properties={ - "candidates": types.Schema( - type=types.Type.ARRAY, - items=types.Schema( - type=types.Type.OBJECT, - properties={ - "label": types.Schema( - type=types.Type.STRING, - description=( - "Reference label (e.g. X1, O2, D3, or a number like 3)" - ), - ), - "coords": types.Schema( - type=types.Type.ARRAY, - items=types.Schema(type=types.Type.INTEGER), - description=("[nx, ny] coordinates in normalized 0-1000 scale"), - ), - "description": types.Schema( - type=types.Type.STRING, - description=("Brief description of this candidate element"), - ), - }, - required=["label", "coords"], - ), - description=( - "A ranked list of candidate UI elements that match" - " the query, sorted from highest to lowest" - " confidence (maximum 10 candidates). Leave empty" - " if no matching elements were found on the screen." - ), - ), - "fallback_message": types.Schema( - type=types.Type.STRING, - description=( - "Optional fallback explanation if target elements" - " were not found or if there are special" - " observations." - ), - ), - }, - required=["candidates"], - ), - ), - types.FunctionDeclaration( - name="inspect_region", - description=( - "[Perception] Crops and resizes a bounding box region of the" - " original screenshot. Returns the cropped and resized image" - " directly, without any image ID or coordinate transform." - ), - parameters=types.Schema( - type=types.Type.OBJECT, - properties={ - "x_min": types.Schema( - type=types.Type.INTEGER, - description="Left X coordinate (0-1000).", - ), - "y_min": types.Schema( - type=types.Type.INTEGER, - description="Top Y coordinate (0-1000).", - ), - "x_max": types.Schema( - type=types.Type.INTEGER, - description="Right X coordinate (0-1000).", - ), - "y_max": types.Schema( - type=types.Type.INTEGER, - description="Bottom Y coordinate (0-1000).", - ), - "zoom_factor": types.Schema( - type=types.Type.NUMBER, - description=("Zoom factor to upscale the cropped region (1.0 to 4.0)."), - ), - }, - required=["x_min", "y_min", "x_max", "y_max", "zoom_factor"], - ), - ), -] diff --git a/artemis/agents/explorer/universal_runner.py b/artemis/agents/explorer/universal_runner.py index 9a123ca..7493e65 100644 --- a/artemis/agents/explorer/universal_runner.py +++ b/artemis/agents/explorer/universal_runner.py @@ -30,6 +30,8 @@ from langchain_core.messages import ( ToolMessage, ) +from artemis.llm.structured import content_to_text + from artemis.agents.explorer.geometry import is_valid_norm_point from artemis.agents.explorer.tiers import SUBMIT_TOOL from artemis.agents.explorer.tool_declarations import UNIVERSAL_EXPLORER_TOOLS @@ -128,7 +130,8 @@ class UniversalRunnerMixin: return json.dumps( { "candidates": [], - "fallback_message": str(response.content) or "No candidates found.", + "fallback_message": content_to_text(response.content) + or "No candidates found.", }, ensure_ascii=False, ) diff --git a/artemis/agents/flash/flash_runner.md b/artemis/agents/flash/flash_runner.md index 3c21cf8..438e1ad 100644 --- a/artemis/agents/flash/flash_runner.md +++ b/artemis/agents/flash/flash_runner.md @@ -1,3 +1,11 @@ +# 输出语言要求 +所有自行撰写的自然语言说明必须使用简体中文，包括每一步的操作说明、计划与子任务、检查反馈、诊断结论、历史摘要和最终报告。英文示例仅示范格式，不决定输出语言。 +保留工具名、参数名、JSON 字段名、枚举值、状态码、计划语法标记、模板变量、命令、路径、URL、包名及标识符原文。界面文字、日志、错误信息、引用证据和用户指定的输入内容必须如实保留，可另附中文解释；不要为了中文化而翻译设备输入、搜索词或精确匹配目标。 +遵守各自原有输出结构；结构化结果只将允许自由填写的说明文本写成简体中文。只描述已有证据，不编造操作结果。 + +每次调用设备操作工具前，用一小段简体中文说明当前观察、即将执行的动作和目的；操作后仅在获得结果或新观察时说明实际变化。不要只在最终答复中使用中文。工具参数中的自由描述文本也使用简体中文，精确引用的界面文字仍保留原文。 + + # ROLE & OBJECTIVE You are an autonomous and highly efficient Android Device Execution Agent. Your goal is to accomplish the user's objective on the device. diff --git a/artemis/agents/flash/flash_summarizer.md b/artemis/agents/flash/flash_summarizer.md index 9bfc880..85311b5 100644 --- a/artemis/agents/flash/flash_summarizer.md +++ b/artemis/agents/flash/flash_summarizer.md @@ -1,11 +1,17 @@ +# 输出语言要求 +所有自行撰写的自然语言说明必须使用简体中文，包括每一步的操作说明、计划与子任务、检查反馈、诊断结论、历史摘要和最终报告。英文示例仅示范格式，不决定输出语言。 +保留工具名、参数名、JSON 字段名、枚举值、状态码、计划语法标记、模板变量、命令、路径、URL、包名及标识符原文。界面文字、日志、错误信息、引用证据和用户指定的输入内容必须如实保留，可另附中文解释；不要为了中文化而翻译设备输入、搜索词或精确匹配目标。 +遵守各自原有输出结构；结构化结果只将允许自由填写的说明文本写成简体中文。只描述已有证据，不编造操作结果。 + + # ROLE & OBJECTIVE You are the Step Summarizer for an Android UI automation agent. Your task is to synthesize the Before/After screenshots and physical action into a concise, high-information-density, strictly objective first-person historical memory. --- # PERSPECTIVE & FORMAT CONSTRAINTS -1. **First-Person Perspective**: Write strictly from the agent's first-person perspective using **"I"** (e.g., "In Step {{ step_number }}, I tapped...", "I swiped up on... and observed..."). NEVER use third-person terms like "The agent", "The operator", or "The system". -2. **Single Continuous Paragraph**: Your output MUST be exactly **one compact, continuous paragraph** (1–4 sentences, 60–100 words). +1. **First-Person Perspective**: Write strictly from the agent's first-person perspective using **“我”** (e.g., "In Step {{ step_number }}, I tapped...", "I swiped up on... and observed..."). NEVER use third-person terms like "The agent", "The operator", or "The system". +2. **Single Continuous Paragraph**: Your output MUST be exactly **one compact, continuous paragraph** (1–4 句，约 100–200 个汉字；保留关键原文证据，不为凑字数添加内容). 3. **No Lists or Formatting**: Do NOT use bullet points, numbered lists, markdown headers, bold labels, or line breaks in your output. Your output must NEVER contain `---` separators or section-marker lines — those belong to the input, not the summary. --- @@ -13,7 +19,7 @@ You are the Step Summarizer for an Android UI automation agent. Your task is to # CORE OBSERVATION RULES 1. **Zero Subjective Validation (STRICT)**: - Absolutely avoid declaring semantic goal achievement, subjective success, or final failure. In historical compression, subjective assumptions cause future turns to falsely believe a subgoal was definitively accomplished or permanently blocked. - - **STRICTLY BANNED WORDS**: `successfully`, `completed`, `achieved`, `entered`, `navigated to`, `arrived at`, `failed`, `unsuccessful`, `could not`, `impossible`. + - **STRICTLY BANNED WORDS (including Chinese equivalents such as “成功完成”、“已达成”、“失败” and “不可能”)**: `successfully`, `completed`, `achieved`, `entered`, `navigated to`, `arrived at`, `failed`, `unsuccessful`, `could not`, `impossible`. 2. **Action & Visual Delta Structure**: - **Target & Action**: Identify what control/button was targeted (referencing the red visual indicator on the BEFORE screen) and the physical action performed. - **Objective Transition**: Describe the physical screen change (e.g., page transitioned, modal dialog opened, list scrolled revealing new items, checkbox/toggle toggled, keyboard appeared). diff --git a/artemis/agents/flash/flash_summarizer_single.md b/artemis/agents/flash/flash_summarizer_single.md index 11dcacb..700eb4b 100644 --- a/artemis/agents/flash/flash_summarizer_single.md +++ b/artemis/agents/flash/flash_summarizer_single.md @@ -1,3 +1,9 @@ +# 输出语言要求 +所有自行撰写的自然语言说明必须使用简体中文，包括每一步的操作说明、计划与子任务、检查反馈、诊断结论、历史摘要和最终报告。英文示例仅示范格式，不决定输出语言。 +保留工具名、参数名、JSON 字段名、枚举值、状态码、计划语法标记、模板变量、命令、路径、URL、包名及标识符原文。界面文字、日志、错误信息、引用证据和用户指定的输入内容必须如实保留，可另附中文解释；不要为了中文化而翻译设备输入、搜索词或精确匹配目标。 +遵守各自原有输出结构；结构化结果只将允许自由填写的说明文本写成简体中文。只描述已有证据，不编造操作结果。 + + # ROLE & OBJECTIVE You are the Step Summarizer for an Android UI automation agent. Exactly ONE screenshot is available for this step — the decision frame captured when the action was issued. There is NO after-action screenshot. Your task is to describe, strictly objectively and in first person, what THIS screen showed and where the physical action landed. @@ -11,8 +17,8 @@ You are the Step Summarizer for an Android UI automation agent. Exactly ONE scre --- # PERSPECTIVE & FORMAT CONSTRAINTS -1. **First-Person Perspective**: Write strictly from the agent's first-person perspective using **"I"** (e.g., "In Step {{ step_number }}, I tapped... on a screen showing..."). NEVER use third-person terms like "The agent", "The operator", or "The system". -2. **Single Continuous Paragraph**: Your output MUST be exactly **one compact, continuous paragraph** (1–4 sentences, 60–100 words). +1. **First-Person Perspective**: Write strictly from the agent's first-person perspective using **“我”** (e.g., "In Step {{ step_number }}, I tapped... on a screen showing..."). NEVER use third-person terms like "The agent", "The operator", or "The system". +2. **Single Continuous Paragraph**: Your output MUST be exactly **one compact, continuous paragraph** (1–4 句，约 100–200 个汉字；保留关键原文证据，不为凑字数添加内容). 3. **No Lists or Formatting**: Do NOT use bullet points, numbered lists, markdown headers, bold labels, or line breaks. Your output must NEVER contain `---` separators or section-marker lines — those belong to the input, not the summary. --- @@ -20,7 +26,7 @@ You are the Step Summarizer for an Android UI automation agent. Exactly ONE scre # CORE OBSERVATION RULES 1. **Zero Subjective Validation (STRICT)**: - Absolutely avoid declaring semantic goal achievement, subjective success, or final failure. In historical compression, subjective assumptions cause future turns to falsely believe a subgoal was definitively accomplished or permanently blocked. - - **STRICTLY BANNED WORDS**: `successfully`, `completed`, `achieved`, `entered`, `navigated to`, `arrived at`, `failed`, `unsuccessful`, `could not`, `impossible`. + - **STRICTLY BANNED WORDS (including Chinese equivalents such as “成功完成”、“已达成”、“失败” and “不可能”)**: `successfully`, `completed`, `achieved`, `entered`, `navigated to`, `arrived at`, `failed`, `unsuccessful`, `could not`, `impossible`. 2. **Preserve Critical Data**: Faithfully transcribe visible text, toast alerts, error banners, verification codes, prices, account names, or tracking numbers that appear on this screen. --- diff --git a/artemis/agents/flash/runner.py b/artemis/agents/flash/runner.py index 936f606..ece8633f 100644 --- a/artemis/agents/flash/runner.py +++ b/artemis/agents/flash/runner.py @@ -14,8 +14,7 @@ """Universal Multi-Model FlashRunner for Artemis. -Executes autonomous reactive mobile workflows across Google Gemini, -OpenAI GPT-4o/o3, Anthropic Claude 3.5/3.7, and OpenRouter endpoints. +Executes autonomous reactive mobile workflows through OpenAI Responses. Conversation shape (shared with the Pro operator, history redesign §3.2): the prompt is built every turn from a session :class:`TranscriptLedger` — @@ -38,6 +37,7 @@ active window until its turn is chunked, whose user lines then carry it on. """ import asyncio +from artemis.config.settings import settings import base64 from dataclasses import dataclass, field import json @@ -83,7 +83,7 @@ from artemis.memory.transcript import PRO_UI_LIST_MARKER, TranscriptLedger, mark from artemis.services.llm import ( RobustChatModelWrapper, acomplete, - get_google_llm, + get_openai_llm, get_llm, invoke_llm_with_timeout_message, ) @@ -284,7 +284,9 @@ class FlashRunner: except Exception as e: logger.warning(f"Failed to get operator LLM from config, using default: {e}") - return RobustChatModelWrapper(get_google_llm(model_name="gemini-2.5-flash"), self.ctx) + return RobustChatModelWrapper( + get_openai_llm(model_name=settings.OPENAI_MODEL), self.ctx + ) def _render_system_prompt(self, tools_declaration: list) -> str: """Renders the system prompt from the flash_runner.md template. diff --git a/artemis/agents/flash/summarizer.py b/artemis/agents/flash/summarizer.py index 56c5e09..1179b14 100644 --- a/artemis/agents/flash/summarizer.py +++ b/artemis/agents/flash/summarizer.py @@ -26,6 +26,7 @@ frame, the ``flash_summarizer.md`` neutral-wording contract, and versioned """ import asyncio +from artemis.config.settings import settings import base64 from pathlib import Path from typing import Any @@ -36,7 +37,7 @@ from langchain_core.messages import BaseMessage, HumanMessage, SystemMessage from artemis.context import ArtemisContext from artemis.memory.step_memory import JobKey, StepMemoryService -from artemis.services.llm import RobustChatModelWrapper, get_google_llm, get_llm +from artemis.services.llm import RobustChatModelWrapper, get_openai_llm, get_llm from artemis.services.token_meter import record_llm_usage from artemis.utils.logger import get_logger from artemis.utils.task_tree import format_actions_clean @@ -162,15 +163,15 @@ class VisualStepSummarizer(StepMemoryService): ) # Initialize lightweight VLM: prioritize explicit model_name - target_model = model_name or "gemini-2.5-flash-lite" + target_model = model_name or settings.OPENAI_MODEL self._model_name = target_model try: if model_name: - self._llm = get_google_llm(model_name=target_model, temperature=0.0) + self._llm = get_openai_llm(model_name=target_model, temperature=0.0) else: self._llm = get_llm(ctx, name="summarizer", is_utils=True) except Exception: - self._llm = get_google_llm(model_name=target_model, temperature=0.0) + self._llm = get_openai_llm(model_name=target_model, temperature=0.0) try: configured = getattr(self._llm, "model", None) or getattr(self._llm, "model_name", None) if isinstance(configured, str) and configured: @@ -341,7 +342,7 @@ class VisualStepSummarizer(StepMemoryService): """Meter one raw-model lens call as an ``llm_usage`` trace, best-effort. Gateway-wrapped models already meter at the wrapper exit; only the raw - ``get_google_llm`` bypass needs explicit metering here. Lens prompts + ``get_openai_llm`` bypass needs explicit metering here. Lens prompts are tiny and must not overwrite the session's ``last_prompt_tokens`` (the compaction thresholds' live context base), hence ``update_last_prompt=False``. diff --git a/artemis/agents/history_analyzer/history_analyzer.py b/artemis/agents/history_analyzer/history_analyzer.py index ce9739a..a5d23dd 100644 --- a/artemis/agents/history_analyzer/history_analyzer.py +++ b/artemis/agents/history_analyzer/history_analyzer.py @@ -25,6 +25,8 @@ from pathlib import Path from langchain_core.messages import BaseMessage, HumanMessage, SystemMessage from langchain_core.tools import BaseTool +from artemis.llm.structured import content_to_text + from artemis.core.tool_failure import is_tool_failure from artemis.context import ArtemisContext from artemis.data_engine.trace import TraceSpan, trace @@ -139,7 +141,7 @@ class HistoryAnalyzer: return ( response.content.strip() if isinstance(response.content, str) - else str(response.content) + else content_to_text(response.content) ) # Process tool calls diff --git a/artemis/agents/log_analyzer/log_analyzer.py b/artemis/agents/log_analyzer/log_analyzer.py index 126b770..6f8f7cc 100644 --- a/artemis/agents/log_analyzer/log_analyzer.py +++ b/artemis/agents/log_analyzer/log_analyzer.py @@ -51,6 +51,8 @@ class SpawnLogReaderArgs(BaseModel): from langgraph.prebuilt import InjectedState +from artemis.llm.structured import content_to_text + from artemis.core.tool_failure import ToolFailure, is_tool_failure from artemis.context import ArtemisContext from artemis.data_engine.trace import ( @@ -224,7 +226,7 @@ class LogAnalyzerNode: response = await invoke_llm_with_timeout_message(acomplete(llm, current_messages)) if response.content: - outcome = response.content + outcome = content_to_text(response.content) if not response.tool_calls: break diff --git a/artemis/agents/log_analyzer/output_analyzer.py b/artemis/agents/log_analyzer/output_analyzer.py index ca5bd60..ae5c74f 100644 --- a/artemis/agents/log_analyzer/output_analyzer.py +++ b/artemis/agents/log_analyzer/output_analyzer.py @@ -16,6 +16,8 @@ from pathlib import Path from typing import Annotated from langchain_core.messages import HumanMessage, SystemMessage, ToolMessage from langchain_core.tools import tool +from artemis.llm.structured import content_to_text + from artemis.core.tool_failure import ToolFailure, is_tool_failure from artemis.context import ArtemisContext from artemis.services.llm import get_llm, invoke_llm_with_timeout_message @@ -131,7 +133,7 @@ class TaskOutputAnalyzerNode: response = await invoke_llm_with_timeout_message(llm.ainvoke(current_messages)) if response.content: - outcome = response.content + outcome = content_to_text(response.content) if not response.tool_calls: break diff --git a/artemis/agents/operator/operator.json b/artemis/agents/operator/operator.json index 7fbad91..52341d5 100644 --- a/artemis/agents/operator/operator.json +++ b/artemis/agents/operator/operator.json @@ -1,3 +1,3 @@ { - "main_template": "# ROLE\nYou are the Android Device Operator. Your priority is execution accuracy. You must operate the device step-by-step to achieve the goal, avoiding blind attempts or loops.\n\n# OPERATIONAL PRINCIPLES\n- **Action Scope & Interaction Precision**: Always select gestures whose scope of effect matches the boundaries of the target element. Avoid shortcuts or batch actions from popups or menus if they risk affecting non-target UI components on the screen.\n- **Vision-First Priority**: The screenshot is the primary source of truth for the real device state. Always visually inspect the screen state and layout on the screenshot before referencing the element list. Use the 'Visible UI Elements' list strictly as an auxiliary lookup table to retrieve target element indices and coordinates.\n[% if \"wait_for_delay\" in available_tools %]- **Loading & Transitions**: When entering page transitions (e.g., app launching, web page loading, or progress indicators), use `wait_for_delay` to let the screen settle before executing target actions. Some transition states are difficult to discern, such as a thin progress line at the top of the browser screen during webpage loads. Before questioning whether an error has occurred, you can first adopt a waiting strategy to see how the device state evolves. If the state remains ambiguous after waiting, certain UI components might be malfunctioning or failing to load; in this case, consider retrying the action or pivoting to an alternative path.\n[% endif %]- **Large List & Long Text Exploration Strategy (Zero-Miss, Zero-Duplication Single-Pass Principle)**: When traversing large lists, browsing long text bodies, or scanning continuous content feeds, strictly adhere to the single-pass exploration standard:\n 1. **Unidirectional Anchor-Based Traversal (Zero-Miss)**: Maintain a consistent, unidirectional scan (e.g., uniform downward scrolling). Before each scroll, identify the bottom-most visible item/text segment as your visual anchor and carry that anchor plus the scan direction in short-term memory or the traversal ledger. After the scroll, evaluate this handoff before doing anything unrelated: if the anchor remains visible with new content beyond it, record the new content and continue in the same direction without scrolling back to verify; if the anchor is missing, continuity is uncertain, so perform at most one minimal reverse recovery to re-establish overlap, then resume the original direction. While the traversal's declared exit condition remains unresolved, keep this traversal active and do not advance to another milestone or mark it complete.\n 2. **Boundary-Proven Completion**: A single scroll that reveals no new content is not sufficient evidence that the list is complete. For an exhaustive traversal, stop only when an explicit end-of-list indicator is visible, or when one additional successful swipe in the same direction and within the same list container leaves the same final anchor visible with no new items and no loading state. This boundary probe must remain unidirectional; never reverse direction merely to prove completion. If the task declares an earlier exit condition (for example, find one verified match or process N items), that explicit condition may end the traversal without reaching the list boundary.\n 3. **Memory & Plan-Driven Deduplication (Zero-Duplication)**: Systematically log extracted item names, identifiers, or processing states into notes or memory as you progress. After every screen transition, cross-reference visible items against your recorded ledger and strictly interact only with newly surfaced, unrecorded items to eliminate redundant actions on overlapping elements. Proactively maintain subtasks in `task_plan` (e.g., segmenting by batch, category, or alphabetical ranges like `a-d`), tracking exact paths and progress to prevent backtracking.\n 4. **Single-Pass Trust & Anti-Oscillation (No Over-Verification)**: Treat recorded notes as verified ground truth. Once a segment is traversed with confirmed anchor continuity and logged, consider it permanently resolved. Do NOT scroll back-and-forth or perform redundant re-scans for \"double-checking\", even if older execution history has been pruned. Resume from the last recorded anchor and direction. Only the single bounded recovery above, or a refreshed/mutated list, permits limited re-verification; otherwise continue the single pass over new content.\n- **Dynamic Monitoring & Reactive Loop Protocol (Monitor-Trigger-Action)**: When executing an active milestone matching `[Loop] into note (Exit: ; Interval: )` or `[Loop:continuous] into note (Interval: )` (the milestone grammar itself is defined under Task Plan Grammar below), run this 5-step cyclic state machine:\n - **Step 1 (Baseline Sync)**: On the initial cycle, observe all visible entries/metrics in the primary monitoring view and save the full snapshot into ``; that note is the persistent baseline and diffing ledger you cross-reference and append to on every later cycle.\n - **Step 2 (Pacing & Refresh)**: Adhere strictly to the exact duration declared in ``, then execute a refresh action (e.g., pull-to-refresh, sync, or reload) on the primary monitoring view. Every turn adds seconds to tens of seconds of inference and transport on top of any explicit wait, so calibrate against the `T+` offsets of the previous checks: shorten the explicit wait by the overhead you observe, so that consecutive checks land on the declared cadence instead of drifting later each cycle.\n - **Step 3 (Incremental Diff)**: Cross-reference refreshed screen items against ``. If Zero Delta (no new events), append a timestamped check entry to `` and skip to Step 5. If Positive Delta (new events found), proceed to Step 4.\n - **Step 4 (Atomic Trigger & Return-to-Base)**: Interact with newly surfaced items to handle the triggered sub-action, append extracted details to ``, and **immediately navigate back to the primary monitoring view**.\n - **Step 5 (Ledger Advance)**: In `task_plan`, mark current check subtask as `[x]` (e.g., ` - [x] Polling Check #N: ...`), initialize next check as `[/]` (e.g., ` - [/] Polling Check #(N+1): ...`), and preserve parent `[Loop]` milestone as `[/]`.\n\n# SYSTEM WORKFLOW: SAFETY NET & EXECUTION INCIDENTS\nYour decisions pass through downstream pipeline guardians. Understanding them tells you how to read your history and how to recover:\n- **Pre-Execution Safety Net (vetted single actions only)**: Before a single Turn-Ending Action fires, the system re-checks the live screen for your target (element tree first, pixel comparison as fallback) and self-corrects small coordinate drift. If the target has disappeared, shifted beyond tolerance, or is covered by another element, the action is NOT executed.\n- **Execution Incident (yours to resolve)**: When an action is intercepted, rejected by the device, or a burst aborts midway, no other agent repairs it. The system opens an Execution Incident and shows it to you as an `--- Execution Incident (OPEN) ---` block above your observation: the facts (what was blocked, why, the recorded target, the likely trigger action) and category-specific evidence. The incident stays open, escalating on each consecutive failed turn, until one of your Turn-Ending Actions is dispatched without error; closing means the execution channel works again, not that the blocked intent was achieved, and a one-turn `--- Execution Incident (CLOSED ...) ---` notice then asks you to settle that intent against the plan. Treat the block as the first thing to read in the turn, then re-observe the live screen. Often the right move is not a repair at all: if the screen has moved past the blocked action (an ad finished, a dialog closed by itself), continue with the plan. If the intent is still pending, diagnose the cause explicitly in your reasoning and act on it; a verbatim retry of the blocked action is not a diagnosis. Two exceptions: if the target is visibly still on screen, the safety net misfired and one vetted retry is fine; and the recorded target coordinates may be reused inside a Fast-Action Burst as an acceptable guess.\n- **User Guidance**: A `--- User Guidance ---` block in your observation is an instruction from the user watching the run, relayed by the system as an external interruption like the stop signal. It outranks the task plan and its check lines: edit the plan to match, check lines included.\n{% if transcript_history %}- **Reading Your History**: The earlier turns of this conversation are your raw execution history. Each committed turn ends with a `--- Action Execution Result (T+mm:ss) ---` message: `Status: dispatched` means the device accepted your Turn-Ending Action (whether it had the intended effect is yours to judge from the next observation); `Status: failed` with an `Error:` line (starting `Intercepted by Pre-Execution Safety Net` or `Execution failed`) is an execution incident, and for a burst it names which member failed and that the rest were not executed. Screenshots older than a few turns are replaced by a `--- Historical Visual Transition ---` summary of what changed on screen, and old UI element lists are dropped. Compressed spans render as `[Era N | Steps a–b | T+.. → T+..]` blocks: ① a merged synopsis (entry/exit state, verified facts, unresolved items, failed paths, entities), ② segment titles, ③ a per-step action ledger; a recall-only era shows a period paragraph plus a `(Step-level ledger via search_history for steps a–b)` line[% if \"search_history\" in available_tools %]; query that step range with `search_history` for the full per-step ledger[% endif %]. After a process restart a `[Restored history]` block precedes the conversation. Every timestamp is a session-relative `T+mm:ss` offset.\n{% else %}- **History Markers**: In '--- Execution History ---', an intercepted step shows `(Intercepted by Pre-Execution Safety Net)`, a burst shows `[Fast-Action Burst]` with each member's outcome, and a blocked step's `[Result]` line starts with `Error:`. Use them to trace how the current screen state was reached. Step times are session-relative offsets.\n{% endif %}\n# OBJECTIVE & PLAN\nInitial Goal: {{ initial_goal }}\n\n## Current Plan & Execution History\n{{ plan_and_history }}\n\n# TOOL USE PROTOCOL: PRE-DECISION EXPLORATION VS. TURN-ENDING ACTIONS\nYou operate within a multi-step framework that splits tools into two distinct classes. You must understand this flow to gather details safely before committing to physical actions:\n1. **Result-Dependent Pre-Decision Tools**:\n - *What they are*: Helper/Subagent tools ([[ tool_enum(helper_tools) ]]), ADB/task tools ([[ tool_enum(adb_tools) ]]), and memory tools whose result must be inspected ([[ tool_enum(memory_tools) ]]).\n - *How they work*: Invoke these without a Turn-Ending Action, inspect the returned result, and then decide. Never submit them in the same tool-call list as a Turn-Ending Action: the action is rejected and nothing executes.\n - *Per-turn budget*: one turn allows at most {{ max_tool_calls }} tool calls in total; a system message warns you at the last one. Pace exploration so that a Turn-Ending Action, or at least a note save, fits before the budget runs out.\n2. **Write-Through Memory Tools** (`save_note`, `update_note`, `append_note`):\n - May run alongside the turn's Turn-Ending Action (or Fast-Action Burst) only when recording facts already observed in the current context. If the note content depends on the action's result, wait for the next observation before writing it. Never write an action's expected outcome as if it had already been observed.\n3. **Turn-Ending Actions**:\n - *What they are*: Physical device actions ([[ tool_enum(physical_actions) ]]).\n - *How they work*: These tools interact with the physical device or alter the operational flow. Executing any of these tools terminates your turn. A turn ends in exactly one of two execution tiers:\n - **Vetted Single Action (default)**: one Turn-Ending Action, vetted by the Pre-Execution Safety Net; a flaky dispatch is retried once. Use this for every ordinary step.\n - **Fast-Action Burst (time-critical only)**: two to {{ max_burst_actions }} Turn-Ending Actions submitted in the same tool-call list, in execution order. They fire back to back with NO safety net, NO retries and NO screenshot in between; the first failure aborts the rest. This is your instrument against turn latency: every decision turn costs several seconds of model inference and transport while the device keeps moving, so a target that exists only in a short window after a summoning action (auto-dismissing overlays, temporary message bars, snackbar buttons, menus or media control bars with short timeouts) WILL be gone if you tap the trigger and wait for the next turn to tap the target. Recognize these situations proactively from the screen (a bar that fades, a countdown, a toast with a button) and emit the summoning action and the target action together as one burst, summoning action first. Use a burst only for such transient targets or when sub-second sequencing is itself the requirement[% if \"wait_for_delay\" in available_tools %]; it may include `wait_for_delay` to pace the sequence[% endif %]. Coordinates normally must come from the live screen data; the single exception is the transient target inside a burst, which is invisible by definition at decision time: there you may reuse the coordinates recorded for it in your history (or in an open Execution Incident) exactly as they were observed, provided the summoning action in the same burst restores the state they belonged to. Because nothing is vetted, you own the risk: justify every burst member in your reasoning, and never use a burst to batch ordinary steps for speed.\n\n# THE THREE-PHASE COGNITIVE PROTOCOL\nIn every turn, think through these three phases in this order. Before calling a Turn-Ending Action, your reply carries one short paragraph of connected prose reflecting these three phases; that written text is kept in the execution history and shown to the user.\n\n## Phase 1: Observation & Diagnosis\n1. **Visual Observation & State Verification**: You must first examine the screenshot and describe the visual screen state before evaluating actions.\n - *Visual Description*: Describe the current visual layout, key visible UI components, active screen state, and any unexpected popups or overlays shown on the screenshot.\n - *State Verification*: Compare the observed visual state against the intended outcome of the previous action to confirm whether the transition succeeded.\n - *Side-Effect & Anomaly Check*: Verify whether any unintended screen changes, unwanted dialogs, or unexpected UI state alterations occurred.\n - *Drift/Regression Audit*: Has the UI drifted to an incorrect screen, or Regressed back to a previous screen (e.g. from an accidental browser back-navigation)?\n - *Stuck/Transition state*: Is there a loading progress indicator (active transition) or is it a frozen screen (static stuck)?\n2. **Path Decision (Recover vs. Adapt)**: Encourage flexible problem-solving. First, evaluate if the current path can still be recovered or advanced (e.g., dismissing a blocker, retrying, or restoring the view). If the current approach is blocked or unreliable, do not get stuck—flexibly pivot to alternative solutions or different UI paths to achieve the same goal.\n3. **Verify & Diagnose (Recommended Diagnosis Triggers & Loop Exemptions)**: Consider the diagnostic tool (`ask_diagnoser`) during the Pre-Decision Exploration stage if you detect any of the following symptoms:\n - **Action Loop or State Stagnation**: You are about to execute the exact same physical action or click the same target for a 3rd consecutive time, or you find yourself alternating between the same actions (e.g., swiping up then down repeatedly) in a cyclical loop. This also applies if the current screen and 'Visible UI Elements' list are virtually identical to the previous step, or oscillating between two identical states, even though you executed a physical action.[% if \"search_history\" in available_tools %] Choose the tool by the question you need answered: `ask_diagnoser` when the question is why the action is not taking effect (logs, video), `search_history` when the question is what exactly you did or saw earlier (it returns step numbers[% if \"replay_steps\" in available_tools %]; `replay_steps` then gives the full record of a step[% endif %][% if \"get_step_screenshot\" in available_tools %]; `get_step_screenshot` its stored screenshot[% endif %]).[% endif %]\n *EXEMPTION FOR PLANNED LOOPS*: Periodic pull-to-refresh actions (with planned wait intervals), standard \"inspect candidate -> return to list\" navigations across distinct items, and purposeful continuous swipes (e.g., scrolling to drain battery or traverse long content) are valid planned operations and do NOT call for diagnosis, provided you are making progress or adhering to the planned loop pacing.\n{% if verification_active %} - **Ambiguous Verification Finding**: Use `ask_diagnoser` only when a finding's cause is unclear, the evidence conflicts, or no safe local correction is evident. A verification finding alone is not a diagnosis trigger.\n{% endif %} - **Unexpected UI Drift or App Crash**: An unexpected OS popup, permissions dialog, system crash box, or redirect to home screen occurred.\n - **Visual Discrepancies/Uncertainty**: You see a loading progress spinner for more than 2 consecutive steps, or you are unsure why an action failed to trigger the expected screen change.\n\n## Phase 2: Planning & Memory Preservation\n1. **Live Sub-goal Ledger**: `task_plan` has two layers. The top-level milestones are the Planner's strategy: change only their status, or their text when you deliberately replan. Everything nested beneath them is YOUR ledger of what you are doing right now, written as you go, never reconstructed at milestone completion. Invariant: the active milestone `[/]` always carries exactly one `[/]` sub-goal naming the current sub-goal; when that sub-goal itself takes several actions, nest a `[/]` sub-sub-goal (4 spaces) under it for the current action. Write the ledger at sub-goal boundaries, with `update_note` in the same tool-call list as the Turn-Ending Action: when a sub-goal ends, settle its leaf against what this screen shows (`[x]` achieved, `[!]` blocked with a one-line reason) and open the `[/]` leaf for the next one, phrased as the outcome you expect (e.g., ` - [/] Open route options for SFO` / ` - [/] Tap \"Directions\" so the transit/driving tabs appear`). Turns that stay inside the same sub-goal (waiting for a load, a retry after an intercepted action, consecutive scrolls) need no plan write; settled leaves stay in the plan as the record. The system only intervenes when the ledger is structurally broken (no `[/]` leaf under the active milestone) or stale (several action turns without any plan change): the action is bounced back once so you can record the ledger first. Mark a milestone `[x]` only after visual confirmation and only once its leaves are settled. Keep the plan a pure Markdown checklist; its grammar is machine-enforced:\n{{ plan_grammar }}\n{% if checks_active %} - *Check Lines*: `verify:` lines tell you what counts as complete; the judgment itself belongs to the system, so never declare a check passed or record a conclusion on its behalf. Take no extra actions for `assert:` lines and never construct state to satisfy one. Keep existing check lines verbatim when you rewrite the plan: the system restores deleted ones unless user guidance called for the change, and adding new ones is fine. Mark completions per the grammar as usual; checking runs in the background and never blocks you.{% if midway_checks_active %} A failed `verify:` reopens its milestone at most {{ checkpoint_max_repairs }} times; once that budget is spent, its `finding:` line disappears and the failure stands as the recorded result, so stop repairing it.{% endif %}\n{% endif %} - *Surgical Plan Edits*: Modify `task_plan` with targeted `update_note` (target/replacement) edits. A full `save_note` rewrite that rewords historical top-level milestones whose status you did not change is automatically rejected by the system.\n - *Loop Form of the Ledger*: When executing a `[Loop]` milestone (e.g., candidate iteration or periodic monitoring), the sub-goals are the iteration items: log each concrete iteration in `task_plan` as you proceed (e.g., ` - [x] Candidate #1 (Subject/ID): Verified and logged`, and add ` - [/] Candidate #2: Inspecting...`). In monitoring tasks, log each cycle with the session-relative time from the `# CURRENT OBSERVATION [T+mm:ss]` header (e.g., ` - [x] Polling Check #1 (T+12:30): Refreshed, no new items, waiting 5m`); those offsets are the only clock you have, for pacing as well as for timestamps. This live ledger prevents you from losing state or repeating past items.\n - *Loop Exit Evaluation*: In every turn of a bounded `[Loop]`, evaluate whether its Exit Condition has been satisfied (e.g., required data completely found, candidate inspection cap reached, battery threshold hit); once it is legitimately met, mark the top-level `[Loop]` milestone as `[x]` to seamlessly transition to the next phase.\n **CRITICAL: When all top-level tasks are marked as completed (`[x]`) using the note tool, the system will automatically judge the task as finished. At this point, you do not need to output a Turn-Ending Action.**{% if checks_active %} The system may then run a final review: if acceptance criteria are unmet, it sets the affected milestone back to `[/]` and returns control to you with `[final check]` / `[unmet subgoal]` findings — that is the plan reopening, not an error.{% endif %}\n2. **Preserve Memory & Pre-Action Snapshotting**: The note tools are the only reliable way to persist memory, and using them is zero-cost: saving more notes never burdens you, while forgetting creates risk. Before any UI interaction, perform this risk assessment: \"Will this action irreversibly alter the screen and erase potentially useful information?\" If this risk exists, even if you are not yet certain you will need these details, immediately save the visible critical values to the notes. Likewise, when you find information on the screen that might be relevant to the task, save it before exploring further; use `append_note` to add new information to an existing note, and consolidate lists or information spread across multiple screens into one note for unified processing. Clearly annotate the context in which each piece of information was obtained and organize the data in clear key-value structures. Pay attention to verification when writing notes, but once a final answer is determined, it should be trusted unless there is clear evidence that the existing note is incorrect or outdated.\n3. **Background Tasks & Instrumentation (Optional)**: If the current subgoal requires measuring performance, logging power consumption, or recording traces, you may use ADB tools to start these background processes during the Pre-Decision Exploration stage, prior to physical execution. You have full control over all ADB tasks. If a background task has finished, you must understand the original purpose of starting that task, and record the task's results or relevant extracted data in your notes as needed.\n\n## Phase 3: Target Selection & Physical Execution\n1. **Target Resolution & Index Safety**: The indexed list coordinates are generally accurate, but sometimes they include elements that are not fully visible or are obscured on the screen. You must first analyze the current screenshot to determine which indexes are actually interactable, and prioritize using element indexes (e.g., `target=3`) over raw coordinates or cached state whenever possible. If the target is not present in the indexed list or the bounds are incorrect, use `ask_explorer` first during the Pre-Decision Exploration stage. Remember that swiping, scrolling, or page updates shift indexes and coordinates; always retrieve the fresh index from the latest screen data. A coordinate target must carry `target_description`: a short, meaningful name for what you are aiming at, as a user would call it (e.g. 'play button', 'search input', 'video body'), never a generic 'element' or 'button'. Nothing is inferred on your behalf: it is recorded as your own statement, and later readers see it marked as self-described.\n2. **Action Selection**: Before calling any Turn-Ending Action ([[ tool_enum(turn_ending_actions, \"or\") ]]), state in your reasoning why this specific tool/target is the safest, most accurate next step, and the exact immediate screen change you expect as proof of success." + "main_template": "# 输出语言要求\n所有自行撰写的自然语言说明必须使用简体中文，包括每一步的操作说明、计划与子任务、检查反馈、诊断结论、历史摘要和最终报告。英文示例仅示范格式，不决定输出语言。\n保留工具名、参数名、JSON 字段名、枚举值、状态码、计划语法标记、模板变量、命令、路径、URL、包名及标识符原文。界面文字、日志、错误信息、引用证据和用户指定的输入内容必须如实保留，可另附中文解释；不要为了中文化而翻译设备输入、搜索词或精确匹配目标。\n遵守各自原有输出结构；结构化结果只将允许自由填写的说明文本写成简体中文。只描述已有证据，不编造操作结果。\n\n每次调用设备操作工具前，用一小段简体中文说明当前观察、即将执行的动作和目的；操作后仅在获得结果或新观察时说明实际变化。不要只在最终答复中使用中文。工具参数中的自由描述文本也使用简体中文，精确引用的界面文字仍保留原文。\n\n# ROLE\nYou are the Android Device Operator. Your priority is execution accuracy. You must operate the device step-by-step to achieve the goal, avoiding blind attempts or loops.\n\n# OPERATIONAL PRINCIPLES\n- **Action Scope & Interaction Precision**: Always select gestures whose scope of effect matches the boundaries of the target element. Avoid shortcuts or batch actions from popups or menus if they risk affecting non-target UI components on the screen.\n- **Vision-First Priority**: The screenshot is the primary source of truth for the real device state. Always visually inspect the screen state and layout on the screenshot before referencing the element list. Use the 'Visible UI Elements' list strictly as an auxiliary lookup table to retrieve target element indices and coordinates.\n[% if \"wait_for_delay\" in available_tools %]- **Loading & Transitions**: When entering page transitions (e.g., app launching, web page loading, or progress indicators), use `wait_for_delay` to let the screen settle before executing target actions. Some transition states are difficult to discern, such as a thin progress line at the top of the browser screen during webpage loads. Before questioning whether an error has occurred, you can first adopt a waiting strategy to see how the device state evolves. If the state remains ambiguous after waiting, certain UI components might be malfunctioning or failing to load; in this case, consider retrying the action or pivoting to an alternative path.\n[% endif %]- **Large List & Long Text Exploration Strategy (Zero-Miss, Zero-Duplication Single-Pass Principle)**: When traversing large lists, browsing long text bodies, or scanning continuous content feeds, strictly adhere to the single-pass exploration standard:\n 1. **Unidirectional Anchor-Based Traversal (Zero-Miss)**: Maintain a consistent, unidirectional scan (e.g., uniform downward scrolling). Before each scroll, identify the bottom-most visible item/text segment as your visual anchor and carry that anchor plus the scan direction in short-term memory or the traversal ledger. After the scroll, evaluate this handoff before doing anything unrelated: if the anchor remains visible with new content beyond it, record the new content and continue in the same direction without scrolling back to verify; if the anchor is missing, continuity is uncertain, so perform at most one minimal reverse recovery to re-establish overlap, then resume the original direction. While the traversal's declared exit condition remains unresolved, keep this traversal active and do not advance to another milestone or mark it complete.\n 2. **Boundary-Proven Completion**: A single scroll that reveals no new content is not sufficient evidence that the list is complete. For an exhaustive traversal, stop only when an explicit end-of-list indicator is visible, or when one additional successful swipe in the same direction and within the same list container leaves the same final anchor visible with no new items and no loading state. This boundary probe must remain unidirectional; never reverse direction merely to prove completion. If the task declares an earlier exit condition (for example, find one verified match or process N items), that explicit condition may end the traversal without reaching the list boundary.\n 3. **Memory & Plan-Driven Deduplication (Zero-Duplication)**: Systematically log extracted item names, identifiers, or processing states into notes or memory as you progress. After every screen transition, cross-reference visible items against your recorded ledger and strictly interact only with newly surfaced, unrecorded items to eliminate redundant actions on overlapping elements. Proactively maintain subtasks in `task_plan` (e.g., segmenting by batch, category, or alphabetical ranges like `a-d`), tracking exact paths and progress to prevent backtracking.\n 4. **Single-Pass Trust & Anti-Oscillation (No Over-Verification)**: Treat recorded notes as verified ground truth. Once a segment is traversed with confirmed anchor continuity and logged, consider it permanently resolved. Do NOT scroll back-and-forth or perform redundant re-scans for \"double-checking\", even if older execution history has been pruned. Resume from the last recorded anchor and direction. Only the single bounded recovery above, or a refreshed/mutated list, permits limited re-verification; otherwise continue the single pass over new content.\n- **Dynamic Monitoring & Reactive Loop Protocol (Monitor-Trigger-Action)**: When executing an active milestone matching `[Loop] into note (Exit: ; Interval: )` or `[Loop:continuous] into note (Interval: )` (the milestone grammar itself is defined under Task Plan Grammar below), run this 5-step cyclic state machine:\n - **Step 1 (Baseline Sync)**: On the initial cycle, observe all visible entries/metrics in the primary monitoring view and save the full snapshot into ``; that note is the persistent baseline and diffing ledger you cross-reference and append to on every later cycle.\n - **Step 2 (Pacing & Refresh)**: Adhere strictly to the exact duration declared in ``, then execute a refresh action (e.g., pull-to-refresh, sync, or reload) on the primary monitoring view. Every turn adds seconds to tens of seconds of inference and transport on top of any explicit wait, so calibrate against the `T+` offsets of the previous checks: shorten the explicit wait by the overhead you observe, so that consecutive checks land on the declared cadence instead of drifting later each cycle.\n - **Step 3 (Incremental Diff)**: Cross-reference refreshed screen items against ``. If Zero Delta (no new events), append a timestamped check entry to `` and skip to Step 5. If Positive Delta (new events found), proceed to Step 4.\n - **Step 4 (Atomic Trigger & Return-to-Base)**: Interact with newly surfaced items to handle the triggered sub-action, append extracted details to ``, and **immediately navigate back to the primary monitoring view**.\n - **Step 5 (Ledger Advance)**: In `task_plan`, mark current check subtask as `[x]` (e.g., ` - [x] Polling Check #N: ...`), initialize next check as `[/]` (e.g., ` - [/] Polling Check #(N+1): ...`), and preserve parent `[Loop]` milestone as `[/]`.\n\n# SYSTEM WORKFLOW: SAFETY NET & EXECUTION INCIDENTS\nYour decisions pass through downstream pipeline guardians. Understanding them tells you how to read your history and how to recover:\n- **Pre-Execution Safety Net (vetted single actions only)**: Before a single Turn-Ending Action fires, the system re-checks the live screen for your target (element tree first, pixel comparison as fallback) and self-corrects small coordinate drift. If the target has disappeared, shifted beyond tolerance, or is covered by another element, the action is NOT executed.\n- **Execution Incident (yours to resolve)**: When an action is intercepted, rejected by the device, or a burst aborts midway, no other agent repairs it. The system opens an Execution Incident and shows it to you as an `--- Execution Incident (OPEN) ---` block above your observation: the facts (what was blocked, why, the recorded target, the likely trigger action) and category-specific evidence. The incident stays open, escalating on each consecutive failed turn, until one of your Turn-Ending Actions is dispatched without error; closing means the execution channel works again, not that the blocked intent was achieved, and a one-turn `--- Execution Incident (CLOSED ...) ---` notice then asks you to settle that intent against the plan. Treat the block as the first thing to read in the turn, then re-observe the live screen. Often the right move is not a repair at all: if the screen has moved past the blocked action (an ad finished, a dialog closed by itself), continue with the plan. If the intent is still pending, diagnose the cause explicitly in your reasoning and act on it; a verbatim retry of the blocked action is not a diagnosis. Two exceptions: if the target is visibly still on screen, the safety net misfired and one vetted retry is fine; and the recorded target coordinates may be reused inside a Fast-Action Burst as an acceptable guess.\n- **User Guidance**: A `--- User Guidance ---` block in your observation is an instruction from the user watching the run, relayed by the system as an external interruption like the stop signal. It outranks the task plan and its check lines: edit the plan to match, check lines included.\n{% if transcript_history %}- **Reading Your History**: The earlier turns of this conversation are your raw execution history. Each committed turn ends with a `--- Action Execution Result (T+mm:ss) ---` message: `Status: dispatched` means the device accepted your Turn-Ending Action (whether it had the intended effect is yours to judge from the next observation); `Status: failed` with an `Error:` line (starting `Intercepted by Pre-Execution Safety Net` or `Execution failed`) is an execution incident, and for a burst it names which member failed and that the rest were not executed. Screenshots older than a few turns are replaced by a `--- Historical Visual Transition ---` summary of what changed on screen, and old UI element lists are dropped. Compressed spans render as `[Era N | Steps a–b | T+.. → T+..]` blocks: ① a merged synopsis (entry/exit state, verified facts, unresolved items, failed paths, entities), ② segment titles, ③ a per-step action ledger; a recall-only era shows a period paragraph plus a `(Step-level ledger via search_history for steps a–b)` line[% if \"search_history\" in available_tools %]; query that step range with `search_history` for the full per-step ledger[% endif %]. After a process restart a `[Restored history]` block precedes the conversation. Every timestamp is a session-relative `T+mm:ss` offset.\n{% else %}- **History Markers**: In '--- Execution History ---', an intercepted step shows `(Intercepted by Pre-Execution Safety Net)`, a burst shows `[Fast-Action Burst]` with each member's outcome, and a blocked step's `[Result]` line starts with `Error:`. Use them to trace how the current screen state was reached. Step times are session-relative offsets.\n{% endif %}\n# OBJECTIVE & PLAN\nInitial Goal: {{ initial_goal }}\n\n## Current Plan & Execution History\n{{ plan_and_history }}\n\n# TOOL USE PROTOCOL: PRE-DECISION EXPLORATION VS. TURN-ENDING ACTIONS\nYou operate within a multi-step framework that splits tools into two distinct classes. You must understand this flow to gather details safely before committing to physical actions:\n1. **Result-Dependent Pre-Decision Tools**:\n - *What they are*: Helper/Subagent tools ([[ tool_enum(helper_tools) ]]), ADB/task tools ([[ tool_enum(adb_tools) ]]), and memory tools whose result must be inspected ([[ tool_enum(memory_tools) ]]).\n - *How they work*: Invoke these without a Turn-Ending Action, inspect the returned result, and then decide. Never submit them in the same tool-call list as a Turn-Ending Action: the action is rejected and nothing executes.\n - *Per-turn budget*: one turn allows at most {{ max_tool_calls }} tool calls in total; a system message warns you at the last one. Pace exploration so that a Turn-Ending Action, or at least a note save, fits before the budget runs out.\n2. **Write-Through Memory Tools** (`save_note`, `update_note`, `append_note`):\n - May run alongside the turn's Turn-Ending Action (or Fast-Action Burst) only when recording facts already observed in the current context. If the note content depends on the action's result, wait for the next observation before writing it. Never write an action's expected outcome as if it had already been observed.\n3. **Turn-Ending Actions**:\n - *What they are*: Physical device actions ([[ tool_enum(physical_actions) ]]).\n - *How they work*: These tools interact with the physical device or alter the operational flow. Executing any of these tools terminates your turn. A turn ends in exactly one of two execution tiers:\n - **Vetted Single Action (default)**: one Turn-Ending Action, vetted by the Pre-Execution Safety Net; a flaky dispatch is retried once. Use this for every ordinary step.\n - **Fast-Action Burst (time-critical only)**: two to {{ max_burst_actions }} Turn-Ending Actions submitted in the same tool-call list, in execution order. They fire back to back with NO safety net, NO retries and NO screenshot in between; the first failure aborts the rest. This is your instrument against turn latency: every decision turn costs several seconds of model inference and transport while the device keeps moving, so a target that exists only in a short window after a summoning action (auto-dismissing overlays, temporary message bars, snackbar buttons, menus or media control bars with short timeouts) WILL be gone if you tap the trigger and wait for the next turn to tap the target. Recognize these situations proactively from the screen (a bar that fades, a countdown, a toast with a button) and emit the summoning action and the target action together as one burst, summoning action first. Use a burst only for such transient targets or when sub-second sequencing is itself the requirement[% if \"wait_for_delay\" in available_tools %]; it may include `wait_for_delay` to pace the sequence[% endif %]. Coordinates normally must come from the live screen data; the single exception is the transient target inside a burst, which is invisible by definition at decision time: there you may reuse the coordinates recorded for it in your history (or in an open Execution Incident) exactly as they were observed, provided the summoning action in the same burst restores the state they belonged to. Because nothing is vetted, you own the risk: justify every burst member in your reasoning, and never use a burst to batch ordinary steps for speed.\n\n# THE THREE-PHASE COGNITIVE PROTOCOL\nIn every turn, think through these three phases in this order. Before calling a Turn-Ending Action, your reply carries one short paragraph of connected prose reflecting these three phases; that written text is kept in the execution history and shown to the user.\n\n## Phase 1: Observation & Diagnosis\n1. **Visual Observation & State Verification**: You must first examine the screenshot and describe the visual screen state before evaluating actions.\n - *Visual Description*: Describe the current visual layout, key visible UI components, active screen state, and any unexpected popups or overlays shown on the screenshot.\n - *State Verification*: Compare the observed visual state against the intended outcome of the previous action to confirm whether the transition succeeded.\n - *Side-Effect & Anomaly Check*: Verify whether any unintended screen changes, unwanted dialogs, or unexpected UI state alterations occurred.\n - *Drift/Regression Audit*: Has the UI drifted to an incorrect screen, or Regressed back to a previous screen (e.g. from an accidental browser back-navigation)?\n - *Stuck/Transition state*: Is there a loading progress indicator (active transition) or is it a frozen screen (static stuck)?\n2. **Path Decision (Recover vs. Adapt)**: Encourage flexible problem-solving. First, evaluate if the current path can still be recovered or advanced (e.g., dismissing a blocker, retrying, or restoring the view). If the current approach is blocked or unreliable, do not get stuck—flexibly pivot to alternative solutions or different UI paths to achieve the same goal.\n3. **Verify & Diagnose (Recommended Diagnosis Triggers & Loop Exemptions)**: Consider the diagnostic tool (`ask_diagnoser`) during the Pre-Decision Exploration stage if you detect any of the following symptoms:\n - **Action Loop or State Stagnation**: You are about to execute the exact same physical action or click the same target for a 3rd consecutive time, or you find yourself alternating between the same actions (e.g., swiping up then down repeatedly) in a cyclical loop. This also applies if the current screen and 'Visible UI Elements' list are virtually identical to the previous step, or oscillating between two identical states, even though you executed a physical action.[% if \"search_history\" in available_tools %] Choose the tool by the question you need answered: `ask_diagnoser` when the question is why the action is not taking effect (logs, video), `search_history` when the question is what exactly you did or saw earlier (it returns step numbers[% if \"replay_steps\" in available_tools %]; `replay_steps` then gives the full record of a step[% endif %][% if \"get_step_screenshot\" in available_tools %]; `get_step_screenshot` its stored screenshot[% endif %]).[% endif %]\n *EXEMPTION FOR PLANNED LOOPS*: Periodic pull-to-refresh actions (with planned wait intervals), standard \"inspect candidate -> return to list\" navigations across distinct items, and purposeful continuous swipes (e.g., scrolling to drain battery or traverse long content) are valid planned operations and do NOT call for diagnosis, provided you are making progress or adhering to the planned loop pacing.\n{% if verification_active %} - **Ambiguous Verification Finding**: Use `ask_diagnoser` only when a finding's cause is unclear, the evidence conflicts, or no safe local correction is evident. A verification finding alone is not a diagnosis trigger.\n{% endif %} - **Unexpected UI Drift or App Crash**: An unexpected OS popup, permissions dialog, system crash box, or redirect to home screen occurred.\n - **Visual Discrepancies/Uncertainty**: You see a loading progress spinner for more than 2 consecutive steps, or you are unsure why an action failed to trigger the expected screen change.\n\n## Phase 2: Planning & Memory Preservation\n1. **Live Sub-goal Ledger**: `task_plan` has two layers. The top-level milestones are the Planner's strategy: change only their status, or their text when you deliberately replan. Everything nested beneath them is YOUR ledger of what you are doing right now, written as you go, never reconstructed at milestone completion. Invariant: the active milestone `[/]` always carries exactly one `[/]` sub-goal naming the current sub-goal; when that sub-goal itself takes several actions, nest a `[/]` sub-sub-goal (4 spaces) under it for the current action. Write the ledger at sub-goal boundaries, with `update_note` in the same tool-call list as the Turn-Ending Action: when a sub-goal ends, settle its leaf against what this screen shows (`[x]` achieved, `[!]` blocked with a one-line reason) and open the `[/]` leaf for the next one, phrased as the outcome you expect (e.g., ` - [/] Open route options for SFO` / ` - [/] Tap \"Directions\" so the transit/driving tabs appear`). Turns that stay inside the same sub-goal (waiting for a load, a retry after an intercepted action, consecutive scrolls) need no plan write; settled leaves stay in the plan as the record. The system only intervenes when the ledger is structurally broken (no `[/]` leaf under the active milestone) or stale (several action turns without any plan change): the action is bounced back once so you can record the ledger first. Mark a milestone `[x]` only after visual confirmation and only once its leaves are settled. Keep the plan a pure Markdown checklist; its grammar is machine-enforced:\n{{ plan_grammar }}\n{% if checks_active %} - *Check Lines*: `verify:` lines tell you what counts as complete; the judgment itself belongs to the system, so never declare a check passed or record a conclusion on its behalf. Take no extra actions for `assert:` lines and never construct state to satisfy one. Keep existing check lines verbatim when you rewrite the plan: the system restores deleted ones unless user guidance called for the change, and adding new ones is fine. Mark completions per the grammar as usual; checking runs in the background and never blocks you.{% if midway_checks_active %} A failed `verify:` reopens its milestone at most {{ checkpoint_max_repairs }} times; once that budget is spent, its `finding:` line disappears and the failure stands as the recorded result, so stop repairing it.{% endif %}\n{% endif %} - *Surgical Plan Edits*: Modify `task_plan` with targeted `update_note` (target/replacement) edits. A full `save_note` rewrite that rewords historical top-level milestones whose status you did not change is automatically rejected by the system.\n - *Loop Form of the Ledger*: When executing a `[Loop]` milestone (e.g., candidate iteration or periodic monitoring), the sub-goals are the iteration items: log each concrete iteration in `task_plan` as you proceed (e.g., ` - [x] Candidate #1 (Subject/ID): Verified and logged`, and add ` - [/] Candidate #2: Inspecting...`). In monitoring tasks, log each cycle with the session-relative time from the `# CURRENT OBSERVATION [T+mm:ss]` header (e.g., ` - [x] Polling Check #1 (T+12:30): Refreshed, no new items, waiting 5m`); those offsets are the only clock you have, for pacing as well as for timestamps. This live ledger prevents you from losing state or repeating past items.\n - *Loop Exit Evaluation*: In every turn of a bounded `[Loop]`, evaluate whether its Exit Condition has been satisfied (e.g., required data completely found, candidate inspection cap reached, battery threshold hit); once it is legitimately met, mark the top-level `[Loop]` milestone as `[x]` to seamlessly transition to the next phase.\n **CRITICAL: When all top-level tasks are marked as completed (`[x]`) using the note tool, the system will automatically judge the task as finished. At this point, you do not need to output a Turn-Ending Action.**{% if checks_active %} The system may then run a final review: if acceptance criteria are unmet, it sets the affected milestone back to `[/]` and returns control to you with `[final check]` / `[unmet subgoal]` findings — that is the plan reopening, not an error.{% endif %}\n2. **Preserve Memory & Pre-Action Snapshotting**: The note tools are the only reliable way to persist memory, and using them is zero-cost: saving more notes never burdens you, while forgetting creates risk. Before any UI interaction, perform this risk assessment: \"Will this action irreversibly alter the screen and erase potentially useful information?\" If this risk exists, even if you are not yet certain you will need these details, immediately save the visible critical values to the notes. Likewise, when you find information on the screen that might be relevant to the task, save it before exploring further; use `append_note` to add new information to an existing note, and consolidate lists or information spread across multiple screens into one note for unified processing. Clearly annotate the context in which each piece of information was obtained and organize the data in clear key-value structures. Pay attention to verification when writing notes, but once a final answer is determined, it should be trusted unless there is clear evidence that the existing note is incorrect or outdated.\n3. **Background Tasks & Instrumentation (Optional)**: If the current subgoal requires measuring performance, logging power consumption, or recording traces, you may use ADB tools to start these background processes during the Pre-Decision Exploration stage, prior to physical execution. You have full control over all ADB tasks. If a background task has finished, you must understand the original purpose of starting that task, and record the task's results or relevant extracted data in your notes as needed.\n\n## Phase 3: Target Selection & Physical Execution\n1. **Target Resolution & Index Safety**: The indexed list coordinates are generally accurate, but sometimes they include elements that are not fully visible or are obscured on the screen. You must first analyze the current screenshot to determine which indexes are actually interactable, and prioritize using element indexes (e.g., `target=3`) over raw coordinates or cached state whenever possible. If the target is not present in the indexed list or the bounds are incorrect, use `ask_explorer` first during the Pre-Decision Exploration stage. Remember that swiping, scrolling, or page updates shift indexes and coordinates; always retrieve the fresh index from the latest screen data. A coordinate target must carry `target_description`: a short, meaningful name for what you are aiming at, as a user would call it (e.g. 'play button', 'search input', 'video body'), never a generic 'element' or 'button'. Nothing is inferred on your behalf: it is recorded as your own statement, and later readers see it marked as self-described.\n2. **Action Selection**: Before calling any Turn-Ending Action ([[ tool_enum(turn_ending_actions, \"or\") ]]), state in your reasoning why this specific tool/target is the safest, most accurate next step, and the exact immediate screen change you expect as proof of success." } diff --git a/artemis/agents/operator/operator.py b/artemis/agents/operator/operator.py index dd1a32d..aece8a2 100644 --- a/artemis/agents/operator/operator.py +++ b/artemis/agents/operator/operator.py @@ -29,7 +29,7 @@ from artemis.data_engine.trace import ( from artemis.graph.state import State from artemis.graph.visibility import strict_state from artemis.mcp.action_specs import OPERATOR_SHELL_ORDER, operator_shell_tool -from artemis.llm.google import usage_from_message +from artemis.llm.usage import usage_from_message from artemis.services.llm import acomplete, get_llm, invoke_llm_with_timeout_message from artemis.tools.command_tool import ( analyze_task_output_wrapper, diff --git a/artemis/agents/outputter/outputter.md b/artemis/agents/outputter/outputter.md index 8a21164..90ae334 100644 --- a/artemis/agents/outputter/outputter.md +++ b/artemis/agents/outputter/outputter.md @@ -1,3 +1,9 @@ +# 输出语言要求 +所有自行撰写的自然语言说明必须使用简体中文，包括每一步的操作说明、计划与子任务、检查反馈、诊断结论、历史摘要和最终报告。英文示例仅示范格式，不决定输出语言。 +保留工具名、参数名、JSON 字段名、枚举值、状态码、计划语法标记、模板变量、命令、路径、URL、包名及标识符原文。界面文字、日志、错误信息、引用证据和用户指定的输入内容必须如实保留，可另附中文解释；不要为了中文化而翻译设备输入、搜索词或精确匹配目标。 +遵守各自原有输出结构；结构化结果只将允许自由填写的说明文本写成简体中文。只描述已有证据，不编造操作结果。 + + # Context & Inputs ## User's Initial Goal diff --git a/artemis/agents/outputter/outputter.py b/artemis/agents/outputter/outputter.py index aed600d..4f8ffa0 100644 --- a/artemis/agents/outputter/outputter.py +++ b/artemis/agents/outputter/outputter.py @@ -20,6 +20,8 @@ from pathlib import Path from jinja2 import Template from langchain_core.messages import BaseMessage, HumanMessage, SystemMessage +from artemis.llm.structured import content_to_text + from artemis.core.tool_failure import ToolFailure, is_tool_failure from artemis.config import OutputConfig from artemis.context import ArtemisContext @@ -265,7 +267,7 @@ async def outputter( messages.append(response) if not response.tool_calls: - raw_answer = response.content + raw_answer = content_to_text(response.content) break for tc in response.tool_calls: diff --git a/artemis/agents/planner/planner.json b/artemis/agents/planner/planner.json index 452e598..85bf436 100644 --- a/artemis/agents/planner/planner.json +++ b/artemis/agents/planner/planner.json @@ -1,13 +1,13 @@ { "blocks": { - "role": "## Role\nYou are a Senior Test Engineer leading a team of mobile execution agents. Your objective is to deeply analyze and understand user goals, anticipate execution pitfalls, and formulate robust, observable, and feasibility-bounded milestone blueprints.", + "role": "# 输出语言要求\n所有自行撰写的自然语言说明必须使用简体中文，包括每一步的操作说明、计划与子任务、检查反馈、诊断结论、历史摘要和最终报告。英文示例仅示范格式，不决定输出语言。\n保留工具名、参数名、JSON 字段名、枚举值、状态码、计划语法标记、模板变量、命令、路径、URL、包名及标识符原文。界面文字、日志、错误信息、引用证据和用户指定的输入内容必须如实保留，可另附中文解释；不要为了中文化而翻译设备输入、搜索词或精确匹配目标。\n遵守各自原有输出结构；结构化结果只将允许自由填写的说明文本写成简体中文。只描述已有证据，不编造操作结果。\n\n## Role\nYou are a Senior Test Engineer leading a team of mobile execution agents. Your objective is to deeply analyze and understand user goals, anticipate execution pitfalls, and formulate robust, observable, and feasibility-bounded milestone blueprints.", "thinking_process": "## Systematic Thinking Process & Operating Principles\nBefore calling any tools or formulating your final milestones, you MUST systematically analyze the task following these 5 sequential thinking steps in your reasoning:\n\n### 1. Deep Intent Deconstruction & Task Composition\n**Core Principle**: Natural language requests describe the *substantive intent and desired real-world outcome*, not the *rigid system keywords or database filters* of mobile apps. Never mechanically map user phrasing into strict literal searches or surface filters.\n\n**Thinking Checklist (Ask yourself)**:\n- *Task Composition*: What phases make up this task? Is it a sequence of one-off linear steps (e.g., open app, configure settings), an iterative loop over multiple items (e.g., inspecting a list of search results), or a periodic polling loop (e.g., refreshing to monitor new messages, waiting for battery level)?\n- *Substantive Intent & Semantic Expansion (Connecting User Words to App Reality)*: What information or outcome is the user truly looking for, and how might that actually appear inside the target app? For example, details for an event taking place in November might have been sent months earlier (in August or September), and the email subject might use terms like \"Summit\", \"Invitation\", or \"Confirmation\" rather than the literal words \"November conference\". Proactively brainstorm the synonyms, related terms, project codes, and indirect records the app might use.\n\n**Abstract Behavioral Contrast**:\n- ❌ *Anti-Pattern (Mechanical Overfitting)*: Treating descriptive modifiers as strict literal filters -> Pre-judging items solely by surface list titles -> Prematurely missing valid candidates.\n- ✅ *Pro-Pattern (Intent Expansion & Deep Inspection)*: Decoupling core intent from surface wording -> Considering all plausible forms and timeframes -> Opening items to verify their real contents.\n\n### 2. Visual Grounding & Starting Context\n**Core Principle**: Every plan must be rooted strictly in the current physical reality of the device.\n\n**Thinking Checklist (Ask yourself)**:\n- *Current State Analysis*: What active app, screen layout, and interactive elements are visible in the provided screenshot to serve as the immediate starting point?\n\n### 3. Tiered Strategy, Funnel Approach & Feasibility Safeguards\n**Core Principle**: Formulate an efficient hierarchy of execution strategies, use a broad-to-narrow funnel for finding information, and enforce clear boundaries on loops and exploration.\n\n**Thinking Checklist (Ask yourself)**:\n- *Tiered Paths*: What is the fastest, highest-signal optimal path (e.g., targeted in-app search, direct shortcuts)? If that fails or yields no results, what is the pragmatic fallback path (e.g., browsing categories, chronological scanning)?\n- *The Funnel Approach (Broad Discovery -> Deep Verification)*:\n - **Top of Funnel (Broad Gathering)**: First collect all potentially relevant candidates (via multi-keyword search, category browsing, or scanning). Do not filter out candidates prematurely based only on incomplete snippet text in list views.\n - **Bottom of Funnel (Deep Inspection)**:\n - Systematically open each candidate to thoroughly inspect its details and confirm whether it meets the criteria.\n- *Feasibility Safeguards & Loop Boundaries*:\n - *For Item Iteration & Exploration*: Set explicit upper bounds (e.g., \"cap inspection at top 15 candidates\", \"scan recent 3 months\") to prevent endless scrolling.\n - *For Periodic Monitoring / Polling*: Specify the check action (e.g., pull-to-refresh, reading system telemetry via ADB), the wait interval between checks (e.g., check every 5 minutes to conserve resources), and the exit criteria (e.g., stop when condition is met, or continue until manually stopped — tag such unbounded milestones `[Loop:continuous]`).\n\n### 4. Risk Pre-mortem & Defensive Design\n**Core Principle**: Proactively assume that execution will encounter obstacles, and build self-healing and verification checkpoints directly into the milestones.\n\n**Thinking Checklist (Ask yourself)**:\n- *Anticipate Roadblocks*: What common mobile friction points could occur (e.g., login/auth walls, permission dialogs, promotional popups/ads, search ambiguities, empty states, network latency)?\n- *Embedded Defense*: What observable criteria can be embedded into the milestone to help the executor immediately verify success or detect derailment without mistaking normal wait intervals for system stalls?\n\n### 5. Milestone Granularity, Outcome-Orientation & Dynamic Live-Iteration Tracking\n**Core Principle**: Maintain a strict two-tier hierarchy: top-level milestones define strategic macro-phases, while indented sub-tasks encapsulate every individual iteration instance within a loop.\n\n**Thinking Checklist (Ask yourself)**:\n- *Outcome-Oriented Granularity (2-5 Strategic Phases)*: Top-level milestones describe *what macro result to achieve* (e.g., \"Search for candidate emails and extract confirmed itinerary\" or \"[Loop] Periodically monitor for incoming notifications...\") rather than micromanaging atomic UI actions.\n- *Phase vs. Instance Hierarchy Principle (Loop Subsumption Rule)*:\n - **Macro-Phases at Top Level**: Top-level milestones (`- [ ]`) represent distinct lifecycle phases (e.g., Setup/Prerequisites -> Iterative/Polling Loop -> Final Consolidation).\n - **All Instances Belong Inside Loops**: When a milestone represents an iterative, recurring, or monitoring process (tagged `[Loop]`), **EVERY individual iteration round, polling check, candidate inspection, or processing cycle (starting from the initial baseline/candidate #1 to subsequent #N) MUST be an indented sub-task (` - [ ]`) strictly nested underneath that `[Loop]` milestone**.\n - **Anti-Pattern (Flattened Iterations)**: Never extract the initial check/baseline as an independent top-level milestone outside the loop, and never place individual check cycles as parallel top-level milestones. The top-level `[Loop]` encapsulates the entire recurring lifecycle.\n- *Live Iteration Sub-Tasks & Anti-Loop Mechanism*: Concrete sub-tasks provide an explicit cognitive anchor for downstream execution agents. By initializing the plan with a concrete first-instance sub-task (e.g., ` - [ ] Inspect Candidate #1: ...` or ` - [ ] Polling Check #1 (Baseline & Initial Sync): ...`), you inspire downstream agents to dynamically maintain a clear ledger—logging each processed item/round and checking it off.\n - *For Item Iteration / Conditional Loops*: The dynamic checklist counts toward the explicit boundary (e.g., Candidates #1 to #N until all required info is found or max items reached).\n - *For Continuous Monitor-Trigger Tasks*: The top-level milestone is tagged `[Loop:continuous]` and declares the overall continuous monitoring goal, while indented dynamic sub-tasks track each discrete polling cycle and event-triggered response at a reasonable inspection interval (e.g., check every 5 minutes).\n- *Scratchpad Designation & Answer Card Blueprint*: If the task involves collecting information, monitoring events, tracking iterations, or generating summaries, designate a clear, descriptive note name (e.g., `conference_summary`, `monitoring_log`, `candidates_list`) directly in the milestone text as the explicit destination for the executor. Proactively design a structured schema/template for these notes so that downstream execution agents have an unambiguous scaffold to record and append data.", "capabilities_operator": "## Execution Capabilities\n\nThe execution agent primarily interacts with the mobile device and analyzes screen recordings and logs. It can perform the following types of actions:\n- **UI Interaction**: Tapping, swiping, and entering text on the screen.\n- **App Management**: Launching and stopping specific applications.\n- **Information Retrieval & Analysis**: Reading on-screen text and UI hierarchy, searching the web for external information, querying system logs, and analyzing screen recordings.\n- **Terminal & Background Operations**: Executing arbitrary ADB shell commands on the device for exploration. It is capable of running long-running ADB commands asynchronously in the background as tasks.\n\n### Capability Boundaries & Planning Rules\n- **Cross-App Operations**: When a task requires interacting with multiple applications, split the operations into distinct milestones for each app. Avoid mixing actions for different apps in a single milestone.", "output_protocol_initial": "## Task Plan & Scratchpad Protocol\n\n1. **Articulate Thinking**: Begin by reasoning through the 5-step **Systematic Thinking Process** to establish your strategy, funnel approach, bounds, and pre-mortem checks.\n2. **Designate Notes in Milestones & Pre-generate Answer Cards**: If the task involves collecting findings, logging periodic monitoring events, recording candidates, or analytical summaries, designate clear, descriptive note names directly in the milestone descriptions (e.g., `candidates_list`, `monitoring_log`, `schedule_summary`). You can and should invoke the `save_note` tool to pre-generate these structured template files (answer card / scratchpad skeletons with Markdown headers, sections, or tables) before submitting `task_plan`. This provides downstream executors with a clear, ready-to-fill schema.\n3. **Submit Plan**: Submit your initial plan by invoking the `save_note` tool with `key='task_plan'`. Avoid writing the plan only in your text response, as it will only be recognized by the system if submitted via the tool.\n\n### Plan Formatting Rules\n- Format the plan strictly as a Markdown task list starting with `- [ ]` for uncompleted items.\n{{ plan_grammar }}\n- For linear macro-milestones: `- [ ] `\n- For bounded repetitive, iterative, or periodic polling milestones, tag the item with `[Loop]` and declare its Exit Boundary and Interval (e.g., `- [ ] [Loop] (Exit: ; Interval: )`).\n- For unbounded continuous monitoring that only the user can stop, tag the item with `[Loop:continuous]` instead (e.g., `- [ ] [Loop:continuous] (Interval: )`); never declare a self-serve exit condition for it.\n- **Strict Two-Tier Hierarchy & Loop Subtask Contract**:\n 1. **Subtask Nesting Rule**: ALL individual iteration instances, polling checks, candidate inspections, or baseline setups MUST be formatted as 2-space indented sub-tasks (` - [ ]`) directly nested under their parent `[Loop]` milestone.\n 2. **Mandatory First-Instance Initialization**: Every `[Loop]` milestone MUST be initialized with its first concrete child sub-task (e.g., ` - [ ] Inspect Candidate #1: ...` or ` - [ ] Polling Check #1 (Baseline & Initial Sync): ...`).\n 3. **No Flattened Cycles**: NEVER elevate individual checks, recurring polling cycles, or candidate inspections to top-level milestones outside the `[Loop]`. Top-level items are reserved exclusively for strategic macro-phases.\n- Ensure the content of the `task_plan` note contains only the task list, excluding introductions, explanations, conversational text, or headers.", "examples_initial": "## Master Example: Demonstrating the Complete Cognitive Paradigm\n\n**Goal**: \"Find and summarize all schedule arrangements and venue details for the upcoming November tech conference from my emails.\"\n\n### Naive / Incorrect Approaches:\n1. *Flawed Semantics & Too Granular*:\n- [ ] Tap search icon in Gmail\n- [ ] Type \"November\"\n- [ ] Open first email and tap back\n*(Fails: Micromanages atomic UI taps; assumes emails for November arrangements must have \"November\" in the title or be received in November)*\n2. *Vague & Unbounded Trap*:\n- [ ] Open email and check all emails for conference details\n*(Fails: Unbounded scan trap; causes infinite scrolling and step budget exhaustion on mobile)*\n\n---\n\n### Correct Approach (Full Cognitive Thinking & Robust Plan):\n\n#### Step-by-Step Thinking:\n1. **Intent & Semantic Expansion**:\n - *Core Objective*: Extract confirmed schedule dates, sessions, and venue info for the November tech conference.\n - *Semantic Insight*: Conference communications are often sent months in advance (e.g., ticket confirmations or registration emails in August/September). The subject line may say \"Global Developer Summit\", \"Tech Expo Agenda\", or \"Registration Confirmed\" rather than literally \"November conference\".\n - *Task Composition*: Linear setup (open email app and search) -> Iterative candidate inspection loop (examine each promising email) -> Final consolidation.\n2. **Visual Grounding**:\n - The device screenshot shows the Home screen with the Gmail app icon visible. The plan must start by opening the email client.\n3. **Tiered Strategy, Funnel Approach & Safeguards**:\n - *Tier 1 (Optimal)*: Use in-app search with rich semantic keywords (\"conference\", \"summit\", \"schedule\", \"agenda\", \"venue\", \"November\").\n - *Tier 2 (Fallback)*: If search is unavailable or yields zero results, fallback to chronological scanning of recent 3 months.\n - *Funnel (Broad Gathering -> Deep Inspection)*: Gather candidate emails from search results; do not discard candidates based solely on list previews. Open each candidate thread to inspect full body details.\n - *Feasibility Boundary*: Cap the candidate email inspection pool at top 15 emails to prevent infinite scrolling.\n4. **Risk Pre-mortem**:\n - *Risks*: Promotional marketing spam; conflicting drafts with preliminary dates; cancelled sessions.\n - *Defensive Check*: Instruct downstream executor to filter out promotional newsletters, verify session timestamps, and confirm final venue address.\n5. **Milestone Granularity & Scratchpad Blueprint**:\n - Focus milestones on business outcomes (search, inspect candidates, consolidate), avoiding micromanaged click-by-click steps.\n - Use indented sub-tasks to guide the loop of inspecting each candidate email, initializing with Item #1 and adding subsequent items as they are identified. This prevents the agent from losing state or re-inspecting the same items.\n - Designate note `november_conference_summary` as the destination for recording findings and pre-generate the structured template note.\n\n#### Tool Invocation:\n1. Pre-generate designated answer card note template:\n`save_note(key='november_conference_summary', content='# November Tech Conference Summary\\n\\n## Key Details\\n- Conference Name: \\n- Dates: \\n- Venue / Address: \\n\\n## Daily Schedule & Sessions\\n(To be populated during email inspection)\\n')`\n\n2. Submit milestone plan:\n`save_note(key='task_plan', content='- [ ] Open email application and search for candidate emails regarding the November tech conference (Search targeted keywords like \"conference\", \"summit\", \"agenda\", \"venue\"; if search is unavailable, fallback to scanning recent 3 months, capped at top 15 emails)\\n- [ ] [Loop] Inspect candidate emails and record verified schedule sessions and venue details into note `november_conference_summary` (Exit: All key conference details identified OR candidate pool exhausted / max 15 inspected)\\n - [ ] Inspect Candidate #1: Open candidate, filter out non-relevant content, check body for scheduling/venue, and log findings if present\\n- [ ] Review and consolidate all extracted information in `november_conference_summary` into a clear, finalized conference itinerary')`\n\n#### Content of `task_plan` Note:\n- [ ] Open email application and search for candidate emails regarding the November tech conference (Search targeted keywords like \"conference\", \"summit\", \"agenda\", \"venue\"; if search is unavailable, fallback to scanning recent 3 months, capped at top 15 emails)\n- [ ] [Loop] Inspect candidate emails and record verified schedule sessions and venue details into note `november_conference_summary` (Exit: All key conference details identified OR candidate pool exhausted / max 15 inspected)\n - [ ] Inspect Candidate #1: Open candidate, filter out non-relevant content, check body for scheduling/venue, and log findings if present\n- [ ] Review and consolidate all extracted information in `november_conference_summary` into a clear, finalized conference itinerary", "check_generation": "## Declaring Verification Standards (check lines)\nYou may attach check lines to the plan. {% if midway_checks %}An independent Checker judges each line in the background when its milestone completes, and a failed verify reopens that milestone for repair{% if final_check %}; a final review at task exit then audits the whole run against the user's goal{% endif %}.{% else %}A final review at task exit judges every line once, from the recorded evidence around each milestone's completion; there is no midway repair loop.{% endif %}\n\n- **User-declared expectations become `- assert:` lines.** Whenever the user's goal states an explicit expectation (\"should show X\", \"must not crash\", \"the toast Y should appear\"), declare it as an assert line preserving the user's wording verbatim. Expectations about the whole run or the final state use the `@end` suffix (task-level lines at the end of the plan).\n- **`- verify:` lines only for milestones that genuinely need acceptance checks** — completion points of irreversible operations, or milestones that directly contribute to the final goal. Do NOT attach a verify line to every subgoal: restraint is an explicit requirement (checking cost scales with the number of check lines).\n- **Do not fabricate assertions** for subgoals that have nothing verifiable. Rewrite transient expectations as persistently probeable state wherever possible (e.g., \"alarm exists in the alarm list\" instead of \"a toast flashed\") — evidence for transient moments only exists if the execution history happened to capture it.\n- **Ordering requirements are post-hoc.** If the user demands \"A must be confirmed before B runs\", still generate the assertion preserving their semantics, but annotate in the plan that ordering is verified retroactively from history — the system performs post-hoc audits and CANNOT block B from executing. Never silently promise enforcement that does not exist.", "check_audit": "- **Check Standard Protection**: Check lines (`- verify:` / `- assert:`) declared in the plan are the task's verification standards. FLAG any proposed plan that deletes, weakens, or rewords existing check lines — softening a declared standard is never an acceptable adaptation. Adding new check lines is allowed.", - "role_validator": "## Role\nYou are the Task Plan Reviewer, a fast advisory second opinion. The Operator has modified the top-level task plan and the change is already applied. Your job is to spot a concrete concern — goal drift, a broken loop contract, a weakened check standard, a logical dead end — and, if there is one, state it with its reason so the Operator can decide. You never block or roll back anything.", + "role_validator": "# 输出语言要求\n所有自行撰写的自然语言说明必须使用简体中文，包括每一步的操作说明、计划与子任务、检查反馈、诊断结论、历史摘要和最终报告。英文示例仅示范格式，不决定输出语言。\n保留工具名、参数名、JSON 字段名、枚举值、状态码、计划语法标记、模板变量、命令、路径、URL、包名及标识符原文。界面文字、日志、错误信息、引用证据和用户指定的输入内容必须如实保留，可另附中文解释；不要为了中文化而翻译设备输入、搜索词或精确匹配目标。\n遵守各自原有输出结构；结构化结果只将允许自由填写的说明文本写成简体中文。只描述已有证据，不编造操作结果。\n\n## Role\nYou are the Task Plan Reviewer, a fast advisory second opinion. The Operator has modified the top-level task plan and the change is already applied. Your job is to spot a concrete concern — goal drift, a broken loop contract, a weakened check standard, a logical dead end — and, if there is one, state it with its reason so the Operator can decide. You never block or roll back anything.", "validator_guidelines": "## Validation Principles\n- **Goal Alignment**: Ensure the new plan ultimately accomplishes the `Initial Goal` requested by the user. If the Operator has abandoned the core objective or fundamentally altered it, flag the plan.\n- **Logical Coherence**: Verify that the proposed milestones form a logical, achievable sequence to reach the goal. Support valid ongoing iteration/polling subgoals and trigger branches without misconstruing periodic checks as infinite loops. Flag the plan if it introduces contradictory steps, unhandled deadlocks, or obvious logical fallacies.\n{{ plan_grammar }}\n- **Loop & Monitoring Protection**: If the existing plan contains an active `[Loop]` or `[Loop:continuous]` milestone, you MUST FLAG any proposed plan that deletes the milestone or removes its loop tag, as well as any plan that marks a `[Loop:continuous]` continuous monitoring milestone as completed (`[x]`) without an explicit external user stop signal.\n- **Adaptive Acceptance**: The Operator operates in a dynamic environment and may encounter unexpected UI states or dynamic event triggers. You should approve alternative strategies, extra intermediate steps, loop status tracking, or necessary workarounds as long as they serve the primary goal effectively.\n- **Advisory Verdict & Constructive Feedback**: Your verdict is advisory — the change stays applied whether or not you approve it. Approve unless you have a concrete, evidence-backed concern; a vague unease is not a concern. If you flag the plan, give one or two sentences naming the flaw or goal deviation and the correction you suggest, concrete enough for the Operator to weigh it against its own observations." }, "modes": { diff --git a/artemis/agents/validator/tool_declarations.py b/artemis/agents/validator/tool_declarations.py index 368e8d9..2d74a78 100644 --- a/artemis/agents/validator/tool_declarations.py +++ b/artemis/agents/validator/tool_declarations.py @@ -23,7 +23,6 @@ import base64 import json from typing import Any, Literal -from google.genai import types as genai_types from langchain_core.messages import ToolMessage from pydantic import BaseModel, Field @@ -99,44 +98,6 @@ def prune_intermediate_screenshots(messages: list[Any]) -> None: if not messages: return - # Check for google.genai.types.Content objects - if hasattr(messages[0], "parts"): - user_indices_with_images = [] - for idx in range(1, len(messages)): - content = messages[idx] - if getattr(content, "role", None) == "user" and getattr(content, "parts", None): - for part in content.parts: - if getattr(part, "inline_data", None) is not None: - user_indices_with_images.append(idx) - break - - if len(user_indices_with_images) > 1: - indices_to_prune = user_indices_with_images[:-1] - for idx in indices_to_prune: - content = messages[idx] - new_parts = [] - for part in content.parts: - if getattr(part, "inline_data", None) is not None: - try: - new_parts.append( - genai_types.Part.from_text( - text=( - "[Screenshot of intermediate step omitted for performance]" - ) - ) - ) - except Exception as exc: - logger.debug( - "Could not build placeholder text part for pruned screenshot;" - " dropping it: %s", - exc, - exc_info=True, - ) - else: - new_parts.append(part) - content.parts = new_parts - return - # LangChain BaseMessage format last_img_msg_idx = -1 for idx in range(len(messages) - 1, -1, -1): diff --git a/artemis/agents/video_analyzer/__init__.py b/artemis/agents/video_analyzer/__init__.py index 76497fb..bbe4b43 100644 --- a/artemis/agents/video_analyzer/__init__.py +++ b/artemis/agents/video_analyzer/__init__.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -"""Video analyzer utility for analyzing video content with Gemini models.""" +"""Video analyzer utility for analyzing video content with OpenAI Responses models.""" diff --git a/artemis/agents/video_analyzer/audio_native.py b/artemis/agents/video_analyzer/audio_runner.py similarity index 57% rename from artemis/agents/video_analyzer/audio_native.py rename to artemis/agents/video_analyzer/audio_runner.py index 84d4334..345f494 100644 --- a/artemis/agents/video_analyzer/audio_native.py +++ b/artemis/agents/video_analyzer/audio_runner.py @@ -12,7 +12,7 @@ # See the License for the specific language governing permissions and # limitations under the License. -"""Native Gemini execution path for audio-only segment analysis. +"""Responses execution path for audio-only segment analysis. Extracted from ``video_analyzer.py`` as a pure structural split. Patchable collaborators are looked up late through the facade module so @@ -23,24 +23,12 @@ keep working. import asyncio from pathlib import Path -from google.genai import types from artemis.agents.video_analyzer import video_analyzer as _va -from artemis.agents.video_analyzer.chunk_conversation import ( - _MISSING_SUMMARY_ERROR, - _NO_TOOL_CALL_ERROR, - _SUBMIT_NOW_WARNING, - _WRONG_TOOL_ERROR, - SUB_AGENT_MAX_TURNS, - _append_rejection, - _clean_text, - _tool_name, -) from artemis.agents.video_analyzer.reliability import ( SubAgentAnswerExhausted, classify_video_failure, ) -from artemis.constants import SAFETY_SETTINGS_BLOCK_NONE from artemis.data_engine.trace import TraceSpan from artemis.llm.reliability import retry_policy_for from artemis.utils.logger import get_logger @@ -72,7 +60,7 @@ async def exec_analyze_audio_only( return "Error: start_time must be a numeric recording-relative timestamp." if not str(specific_query or "").strip(): return "Error: specific_query must describe the audio evidence to find." - max_retries = analyzer.native_max_retries + max_retries = analyzer.max_retries current_start = round(start_time, 1) if isinstance(start_time, (int, float)) else start_time current_end = round(end_time, 1) if isinstance(end_time, (int, float)) else end_time @@ -134,37 +122,25 @@ async def exec_analyze_audio_only( analyzer, result, media.actual_start, start_time, end_time, specific_query ) - if not analyzer.use_native_gemini: - audio_result = await analyzer._exec_analyze_audio_universal( - audio_path=media.audio_path, - start_time=current_start, - end_time=current_end, - actual_start=media.actual_start, - prompt_with_context=media.prompt_with_context, - specific_query=specific_query, - ) - summary, analysis = analyzer._parse_chunk_result(audio_result) - analyzer.blackboard.complete_segment( - current_start, - current_end, - specific_query, - lease_owner, - summary, - analysis, - modality="audio", - ) - return audio_result - - return await _run_native_audio_conversation( - analyzer, - media, + audio_result = await analyzer._exec_analyze_audio_universal( + audio_path=media.audio_path, + start_time=current_start, + end_time=current_end, + actual_start=media.actual_start, + prompt_with_context=media.prompt_with_context, + specific_query=specific_query, + ) + summary, analysis = analyzer._parse_chunk_result(audio_result) + analyzer.blackboard.complete_segment( current_start, current_end, - start_time, - end_time, specific_query, lease_owner, + summary, + analysis, + modality="audio", ) + return audio_result except Exception as e: # Same contract as the video sub-agent loop: classification @@ -232,49 +208,6 @@ async def _finish_failed_audio( ): """Records terminal audio failure, attempting the universal fallback first.""" failure = classify_video_failure(error) - if ( - analyzer.use_native_gemini - and failure.should_fallback - and media.audio_path is not None - and media.actual_start is not None - and media.prompt_with_context is not None - ): - try: - logger.warning( - f"Native audio analysis failed [{failure.category.value}]; using universal fallback" - ) - _va._record_llm_event( - "llm_fallback", - { - "reason": "native_audio_analysis_failed", - "category": failure.category.value, - "error": str(error)[:500], - }, - ) - fallback_result = await analyzer._exec_analyze_audio_universal( - audio_path=media.audio_path, - start_time=current_start, - end_time=current_end, - actual_start=media.actual_start, - prompt_with_context=media.prompt_with_context, - specific_query=specific_query, - force_fallback=True, - ) - summary, analysis = analyzer._parse_chunk_result(fallback_result) - analyzer.blackboard.complete_segment( - current_start, - current_end, - specific_query, - lease_owner, - summary, - analysis, - modality="audio", - ) - return fallback_result - except Exception as fallback_error: - error = fallback_error - failure = classify_video_failure(error) - retryable = None analyzer.blackboard.fail_segment( current_start, current_end, @@ -366,178 +299,3 @@ def _build_audio_prompt( ) prompt_with_context += f"{specific_query}" return prompt_with_context - - -async def _run_native_audio_conversation( - analyzer, - media: _AudioMedia, - current_start: float, - current_end: float, - start_time: float, - end_time: float | None, - specific_query: str, - lease_owner: str, -) -> str: - """Uploads the audio and drives the native Gemini audio agent to a committed answer.""" - file = None - try: - with TraceSpan(name="upload_audio_to_gemini") as span: - file = await analyzer.upload_and_poll_file(media.audio_path) - span.result = f"Uploaded {file.name}" - logger.info(f"Invoking Gemini for audio-only task with model {analyzer.model_name}...") - - sub_agent_contents = [ - types.Content( - role="user", - parts=[ - types.Part.from_uri(file_uri=file.uri, mime_type=file.mime_type) - if hasattr(file, "uri") - else file, - types.Part.from_text(text=media.prompt_with_context), - ], - ) - ] - - ( - final_summary, - final_analysis, - final_confidence_score, - ) = await _drive_audio_agent_loop(analyzer, sub_agent_contents) - - end_val = end_time if end_time is not None else "unknown" - analyzer._record_blackboard_entry( - { - "start": start_time, - "end": end_val, - "target": specific_query, - "summary": final_summary, - "confidence_score": final_confidence_score, - }, - modality="audio", - ) - - end_str = f"{end_time:.1f}s" if end_time is not None else "unknown" - audio_result = ( - f"[from {start_time:.1f}s to {end_str}] Summary:" - f" {final_summary} Analysis: {final_analysis}" - ) - analyzer.blackboard.complete_segment( - current_start, - current_end, - specific_query, - lease_owner, - final_summary, - final_analysis, - modality="audio", - ) - return audio_result - finally: - if file: - logger.info(f"Cleaning up cloud file {file.name}...") - try: - await asyncio.wait_for( - analyzer.client.aio.files.delete(name=file.name), - timeout=30, - ) - analyzer.cloud_files_to_cleanup.discard(file.name) - except Exception as ce: - logger.error(f"Failed to delete cloud file {file.name}: {ce}") - - -async def _drive_audio_agent_loop(analyzer, sub_agent_contents: list) -> tuple[str, str, float]: - """Return a validated (summary, analysis, confidence_score). - - Raise ``SubAgentAnswerExhausted`` if no answer is accepted within the turn limit. - """ - rejection = _NO_TOOL_CALL_ERROR - - for turn in range(1, SUB_AGENT_MAX_TURNS + 1): - if turn == SUB_AGENT_MAX_TURNS - 1: - sub_agent_contents.append( - types.Content( - role="user", - parts=[types.Part.from_text(text=_SUBMIT_NOW_WARNING)], - ) - ) - - with TraceSpan(name="gemini_generate_audio_content") as span: - response = await asyncio.wait_for( - analyzer.client.aio.models.generate_content( - model=analyzer.model_name, - contents=sub_agent_contents, - config=types.GenerateContentConfig( - system_instruction=analyzer.audio_system_prompt, - tools=[types.Tool(function_declarations=[analyzer.submit_answer_tool])], - safety_settings=SAFETY_SETTINGS_BLOCK_NONE, - ), - ), - timeout=analyzer.model_call_timeout_seconds, - ) - - full_text = response.text or "" - function_calls = response.function_calls or [] - - if function_calls: - answer, rejection = _handle_audio_function_calls( - sub_agent_contents, response, function_calls, full_text - ) - if answer is not None: - return answer - else: - rejection = _NO_TOOL_CALL_ERROR - sub_agent_contents.append( - types.Content( - role="model", - parts=[types.Part.from_text(text=full_text)], - ) - ) - - raise SubAgentAnswerExhausted(SUB_AGENT_MAX_TURNS, rejection) - - -def _validate_audio_answer(summary: str, confidence_score) -> str | None: - """Return a validation error for the audio answer, or None if valid.""" - if not summary: - return _MISSING_SUMMARY_ERROR - if ( - not isinstance(confidence_score, (int, float)) - or isinstance(confidence_score, bool) - or not (0.0 <= float(confidence_score) <= 1.0) - ): - return _BAD_CONFIDENCE_ERROR - return None - - -def _handle_audio_function_calls( - sub_agent_contents: list, - response, - function_calls: list, - full_text: str, -) -> tuple[tuple[str, str, float] | None, str | None]: - """Return (answer, rejection), appending any rejection to the conversation.""" - original_parts = response.candidates[0].content.parts - for fc in function_calls: - if _tool_name(fc.name) != "submit_answer": - continue - args = dict(fc.args or {}) - summary = _clean_text(args.get("summary")) - analysis = _clean_text(args.get("analysis")) - - rejection = _validate_audio_answer(summary, args.get("confidence_score")) - if rejection is not None: - _append_rejection( - sub_agent_contents, original_parts, function_calls, full_text, fc.name, rejection - ) - return None, rejection - - return (summary, analysis or "No analysis provided.", float(args["confidence_score"])), None - - _append_rejection( - sub_agent_contents, - original_parts, - function_calls, - full_text, - function_calls[0].name, - _WRONG_TOOL_ERROR, - ) - return None, _WRONG_TOOL_ERROR diff --git a/artemis/agents/video_analyzer/chunk_agentic.py b/artemis/agents/video_analyzer/chunk_agentic.py deleted file mode 100644 index 6c2913a..0000000 --- a/artemis/agents/video_analyzer/chunk_agentic.py +++ /dev/null @@ -1,455 +0,0 @@ -# Copyright 2026 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -"""Analyze video chunks through the Gemini Interactions API. - -``processing: "agentic"`` lets the model search and revisit an uploaded clip. -Validation errors are returned as function results, with video context retained -through ``previous_interaction_id``. Only accepted answers reach the blackboard. - -The stream consumer reconstructs function arguments from step deltas. Completion -events may omit steps, so it fetches the interaction when reconstruction fails. -""" - -from __future__ import annotations - -import asyncio -import copy -from dataclasses import dataclass, field -import json -from types import SimpleNamespace -from typing import Any - -from artemis.agents.video_analyzer import gemini_files -from artemis.agents.video_analyzer import video_analyzer as _va -from artemis.agents.video_analyzer.chunk_conversation import ( - _NO_TOOL_CALL_ERROR, - _SUBMIT_NOW_WARNING, - _WRONG_TOOL_ERROR, - SUB_AGENT_MAX_TURNS, - SubAgentAnswerExhausted, - _ChunkMedia, - _clean_text, - _persist_timeline_events, - _tool_name, - _validate_answer, -) -from artemis.agents.video_analyzer.universal_tools import UNIVERSAL_SUBMIT_ANSWER_TOOL -from artemis.data_engine.trace import CURRENT_TRACE_ID, TraceSpan -from artemis.llm.google import normalize_usage -from artemis.utils.logger import get_logger - -logger = get_logger(__name__) - -STREAM_START_TIMEOUT_SECONDS = 60.0 -INTERACTION_READ_TIMEOUT_SECONDS = 30.0 - -# Interaction statuses after which no follow-up turn can be sent -# (``google.genai`` ``InteractionStatus``). -_TERMINAL_FAILURE_STATUSES = frozenset({"failed", "cancelled", "incomplete", "budget_exceeded"}) - - -def build_interactions_submit_tool() -> dict[str, Any]: - """The ``submit_answer`` declaration in Interactions API (flat JSON schema) form. - - Derived from the universal (OpenAI-style) declaration so the schema is - written once; ``timeline_events`` is required to match the native path. - """ - function = UNIVERSAL_SUBMIT_ANSWER_TOOL["function"] - parameters = copy.deepcopy(function["parameters"]) - required = list(parameters.get("required", [])) - if "timeline_events" not in required: - required.append("timeline_events") - parameters["required"] = required - return { - "type": "function", - "name": function["name"], - "description": function["description"], - "parameters": parameters, - } - - -def _steps(interaction: Any) -> list: - return list(getattr(interaction, "steps", None) or []) - - -def _find_function_call(interaction: Any): - """The last ``function_call`` step of an interaction, if any.""" - for step in reversed(_steps(interaction)): - if getattr(step, "type", None) == "function_call": - return step - return None - - -def _raise_if_failed(interaction: Any) -> None: - """Raises when an interaction ended in a terminal failure state. - - A follow-up with ``previous_interaction_id`` onto a failed interaction is - rejected by the API, so the failure surfaces here as an exception and - flows through the shared retry / classification layer instead. - """ - status = str(getattr(interaction, "status", None) or "").lower() - errors = list(getattr(interaction, "errors", None) or []) - if status not in _TERMINAL_FAILURE_STATUSES and not errors: - return - details = "; ".join( - f"[{getattr(error, 'code', None)}] {getattr(error, 'message', error)}" for error in errors - ) - raise RuntimeError( - f"Gemini Interactions interaction {getattr(interaction, 'id', None)} ended with" - f" status {status or 'unknown'}" + (f": {details}" if details else "") - ) - - -async def run_agentic_chunk_conversation( - analyzer, - media: _ChunkMedia, - current_start: float, - current_end: float, - start_time: float, - end_time: float | None, - specific_query: str, - lease_owner: str, -) -> str: - """Uploads the chunk and drives the agentic sub-agent to a committed answer.""" - file = None - try: - with TraceSpan(name="upload_video_to_gemini") as span: - file = await analyzer.upload_and_poll_file(media.compressed_path) - span.result = f"Uploaded {file.name}" - logger.info( - f"Invoking Gemini agentic video understanding for sub-agent task with model" - f" {analyzer.model_name} (streaming)..." - ) - trace_id = CURRENT_TRACE_ID.get() - - if analyzer.ctx.data_engine and trace_id: - analyzer.ctx.data_engine.record_trace( - type="llm_call", - name="video_sub_agent", - payload={ - "contents": [ - f"file://{file.name}", - media.prompt_with_context, - ], - "system_instruction": analyzer.sub_system_prompt, - "video_processing": "agentic", - }, - parent_trace_id=trace_id, - ) - - final_summary, final_analysis = await _drive_agentic_loop( - analyzer, - file, - trace_id, - media, - start_time, - end_time, - specific_query, - ) - - end_str = f"{current_end:.1f}s" if current_end is not None else "unknown" - chunk_result = ( - f"[from {current_start:.1f}s to {end_str}] Summary:" - f" {final_summary} Analysis: {final_analysis}" - ) - analyzer.blackboard.complete_segment( - current_start, - current_end, - specific_query, - lease_owner, - final_summary, - final_analysis, - ) - return chunk_result - finally: - if file: - await gemini_files.delete_cloud_file( - analyzer.client, file.name, analyzer.cloud_files_to_cleanup - ) - - -def _initial_request(analyzer, file, prompt: str, tool: dict[str, Any]) -> dict[str, Any]: - return { - "model": analyzer.model_name, - "input": [ - { - "type": "video", - "uri": file.uri, - "mime_type": file.mime_type, - "processing": "agentic", - }, - {"type": "text", "text": prompt}, - ], - "system_instruction": analyzer.sub_system_prompt, - "tools": [tool], - "stream": True, - } - - -def _follow_up_request( - analyzer, previous_id: str, steps: list[dict[str, Any]], tool: dict[str, Any] -) -> dict[str, Any]: - """A stateful follow-up turn: the server keeps the video context. - - Only the conversation state is inherited through - ``previous_interaction_id``; ``system_instruction`` and ``tools`` are - interaction-scoped and must be re-sent on every turn. - """ - return { - "model": analyzer.model_name, - "previous_interaction_id": previous_id, - "input": steps, - "system_instruction": analyzer.sub_system_prompt, - "tools": [tool], - "stream": True, - } - - -def _function_result(call_id: str, error: str) -> dict[str, Any]: - return { - "type": "function_result", - "call_id": call_id, - "name": "submit_answer", - "result": {"error": error}, - } - - -async def _drive_agentic_loop( - analyzer, - file, - trace_id, - media: _ChunkMedia, - start_time: float, - end_time: float | None, - specific_query: str, -) -> tuple[str, str]: - """Return a validated answer and persist its timeline events. - - Raise ``SubAgentAnswerExhausted`` if no answer is accepted within the turn limit. - """ - tool = build_interactions_submit_tool() - request = _initial_request(analyzer, file, media.prompt_with_context, tool) - rejection = _NO_TOOL_CALL_ERROR - - for turn in range(1, SUB_AGENT_MAX_TURNS + 1): - interaction = await _stream_agentic_turn(analyzer, request, trace_id) - interaction_id = getattr(interaction, "id", None) or "" - call = _find_function_call(interaction) - - if call is None: - rejection = _NO_TOOL_CALL_ERROR - steps = [{"type": "text", "text": _SUBMIT_NOW_WARNING}] - elif _tool_name(getattr(call, "name", None)) != "submit_answer": - rejection = _WRONG_TOOL_ERROR - steps = [_function_result(call.id, rejection)] - else: - args = dict(getattr(call, "arguments", None) or {}) - timeline_events = args.get("timeline_events", []) - if not isinstance(timeline_events, list): - timeline_events = [] - summary = _clean_text(args.get("summary")) - analysis = _clean_text(args.get("analysis")) - - rejection = _validate_answer(summary, timeline_events, start_time, end_time) - if rejection is None: - await _persist_timeline_events( - analyzer, timeline_events, media, start_time, end_time, specific_query - ) - return summary, analysis or "No analysis provided." - steps = [_function_result(call.id, rejection)] - - if turn < SUB_AGENT_MAX_TURNS: - request = _follow_up_request(analyzer, interaction_id, steps, tool) - - raise SubAgentAnswerExhausted(SUB_AGENT_MAX_TURNS, rejection) - - -async def _stream_agentic_turn(analyzer, request: dict[str, Any], trace_id): - """Runs one traced streaming Interactions turn and returns the completed interaction.""" - with TraceSpan(name="gemini_agentic_video_call") as span: - span.payload = { - "model": request.get("model"), - "video_processing": "agentic", - "previous_interaction_id": request.get("previous_interaction_id"), - } - stream = await asyncio.wait_for( - analyzer.client.aio.interactions.create(**request), - timeout=STREAM_START_TIMEOUT_SECONDS, - ) - interaction = await asyncio.wait_for( - _consume_agentic_stream(analyzer, span, stream, trace_id), - timeout=analyzer.agentic_call_timeout_seconds, - ) - call = _find_function_call(interaction) - span.result = ( - f"Function call: {_tool_name(getattr(call, 'name', None))}" - if call is not None - else f"Status: {getattr(interaction, 'status', 'unknown')}" - ) - return interaction - - -@dataclass -class _PendingStep: - """A step under construction while its start/delta/stop events stream in.""" - - kind: str - call_id: str | None = None - name: str | None = None - seed_arguments: dict[str, Any] = field(default_factory=dict) - arguments_json: list[str] = field(default_factory=list) - text: list[str] = field(default_factory=list) - - def finish(self): - """Materializes the step in the shape the SDK's typed steps expose. - - Returns ``None`` for a function call whose streamed arguments are not - valid JSON: a half-built call must not stand in for the real one, so - the step is dropped and the interaction is re-read by id instead. - """ - if self.kind == "function_call": - arguments: dict[str, Any] = dict(self.seed_arguments) - raw = "".join(self.arguments_json) - if raw.strip(): - try: - parsed = json.loads(raw) - except ValueError: - logger.warning( - f"Could not parse streamed arguments for {self.name}: {raw[:200]!r};" - " dropping the step" - ) - return None - if isinstance(parsed, dict): - arguments = parsed - return SimpleNamespace( - type="function_call", id=self.call_id, name=self.name, arguments=arguments - ) - if self.kind == "model_output": - return SimpleNamespace( - type="model_output", - content=[SimpleNamespace(type="text", text="".join(self.text))], - ) - return SimpleNamespace(type=self.kind, id=self.call_id) - - -async def _consume_agentic_stream(analyzer, span, stream, trace_id): - """Consumes Interactions SSE events, rebuilding steps and mirroring progress. - - Returns an interaction-shaped object (``id`` / ``status`` / ``steps`` / - ``usage``). The interaction is re-read by id when the stream ended - without a completion event, or when it stopped at ``requires_action`` - without a parsable function call. - """ - data_engine = analyzer.ctx.data_engine if trace_id else None - interaction_id: str | None = None - status: str | None = None - completed_steps: list | None = None - usage: dict[str, int] | None = None - pending: dict[int, _PendingStep] = {} - steps: list = [] - processing_calls = 0 - - def _emit(text: str, *, thinking: bool) -> None: - if data_engine and text: - data_engine.stream_output(trace_id, text, is_thinking=thinking) - - async for event in stream: - data = getattr(event, "data", event) - event_type = getattr(data, "event_type", None) - - if event_type == "interaction.created": - created = getattr(data, "interaction", None) - interaction_id = getattr(created, "id", None) or interaction_id - elif event_type == "step.start": - step = getattr(data, "step", None) - index = getattr(data, "index", None) - kind = str(getattr(step, "type", None) or "") - pending[index] = _PendingStep( - kind=kind, - call_id=getattr(step, "id", None) or getattr(step, "call_id", None), - name=getattr(step, "name", None), - seed_arguments=dict(getattr(step, "arguments", None) or {}), - ) - if kind == "processing_call": - processing_calls += 1 - _emit( - f"Inspecting the recording (video lookup {processing_calls})\n", - thinking=True, - ) - elif event_type == "step.delta": - delta = getattr(data, "delta", None) - delta_type = getattr(delta, "type", None) - current = pending.get(getattr(data, "index", None)) - if delta_type == "arguments_delta": - fragment = getattr(delta, "arguments", None) - if current is not None and isinstance(fragment, str): - current.arguments_json.append(fragment) - elif delta_type == "text": - text = getattr(delta, "text", None) - if current is not None and isinstance(text, str): - current.text.append(text) - _emit(text or "", thinking=False) - elif delta_type == "thought_summary": - content = getattr(delta, "content", None) - _emit(getattr(content, "text", None) or "", thinking=True) - elif event_type == "step.stop": - current = pending.pop(getattr(data, "index", None), None) - finished = current.finish() if current is not None else None - if finished is not None: - steps.append(finished) - usage = normalize_usage(getattr(data, "usage", None)) or usage - elif event_type == "interaction.completed": - completed = getattr(data, "interaction", None) - interaction_id = getattr(completed, "id", None) or interaction_id - status = getattr(completed, "status", None) or status - completed_steps = getattr(completed, "steps", None) or None - usage = normalize_usage(getattr(completed, "usage", None)) or usage - _raise_if_failed(completed) - elif event_type == "interaction.status_update": - status = getattr(data, "status", None) or status - elif event_type == "error": - error = getattr(data, "error", None) - raise RuntimeError( - "Gemini Interactions stream error" - f" [{getattr(error, 'code', None)}]: {getattr(error, 'message', None)}" - ) - - for current in pending.values(): - finished = current.finish() - if finished is not None: - steps.append(finished) - span.payload["processing_calls"] = processing_calls - if completed_steps: - steps = list(completed_steps) - - needs_reread = status is None or ( - status == "requires_action" and _find_function_call(SimpleNamespace(steps=steps)) is None - ) - if needs_reread: - if not interaction_id: - raise RuntimeError("Gemini Interactions stream ended without an interaction") - logger.info(f"Re-reading interaction {interaction_id} (status={status})") - fetched = await asyncio.wait_for( - analyzer.client.aio.interactions.get(interaction_id), - timeout=INTERACTION_READ_TIMEOUT_SECONDS, - ) - _raise_if_failed(fetched) - status = getattr(fetched, "status", None) or status - steps = _steps(fetched) or steps - usage = normalize_usage(getattr(fetched, "usage", None)) or usage - - if usage: - span.payload["usage_metadata"] = usage - return SimpleNamespace(id=interaction_id, status=status, steps=steps, usage=usage) diff --git a/artemis/agents/video_analyzer/chunk_conversation.py b/artemis/agents/video_analyzer/chunk_conversation.py deleted file mode 100644 index 1e5fd4a..0000000 --- a/artemis/agents/video_analyzer/chunk_conversation.py +++ /dev/null @@ -1,491 +0,0 @@ -# Copyright 2026 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -"""Native Gemini sub-agent conversation and submit_answer handling for chunks. - -Extracted from ``video_analyzer.py`` as a pure structural split. Patchable -collaborators are looked up late through the facade module so -``mock.patch("artemis.agents.video_analyzer.video_analyzer.")`` targets -keep working. -""" - -import asyncio -import glob -from pathlib import Path -import re - -from google.genai import types - -from artemis.agents.video_analyzer import gemini_files -from artemis.agents.video_analyzer import video_analyzer as _va -from artemis.agents.video_analyzer.reliability import SubAgentAnswerExhausted -from artemis.constants import SAFETY_SETTINGS_BLOCK_NONE -from artemis.data_engine.trace import CURRENT_TRACE_ID, TraceSpan -from artemis.llm.google import normalize_usage -from artemis.utils.logger import get_logger - -logger = get_logger(__name__) - -#: Turns the chunk sub-agent gets to produce an accepted ``submit_answer`` -#: (shared by the static and agentic paths). -SUB_AGENT_MAX_TURNS = 2 - -_SUBMIT_NOW_WARNING = "[WARNING] You must call the submit_answer tool now, time is running out." -_WRONG_TOOL_ERROR = "Tool not recognized. Please use submit_answer." -_NO_TOOL_CALL_ERROR = "The model replied with text only and never called submit_answer." -_MISSING_SUMMARY_ERROR = ( - "submit_answer was called without a 'summary'. Call it again with a non-empty" - " 'summary' (and 'analysis') describing what you observed." -) - - -def _tool_name(name: str | None) -> str: - name = name or "" - return name.split(":")[-1] if ":" in name else name - - -def _clean_text(value) -> str: - return str(value or "").strip().replace("\n", " ") - - -def _validate_answer( - summary: str, timeline_events: list, start_time: float, end_time: float | None -) -> str | None: - """Return a validation error for submit_answer, or None if valid.""" - if not summary: - return _MISSING_SUMMARY_ERROR - return _validate_timeline_events(timeline_events, start_time, end_time) - - -class _ChunkMedia: - """Mutable holder for per-attempt media artifacts shared with failure handling.""" - - __slots__ = ("path", "compressed_path", "actual_start", "prompt_with_context") - - def __init__(self): - self.path: Path | None = None - self.compressed_path: Path | None = None - self.actual_start: float | None = None - self.prompt_with_context: str | None = None - - -async def _run_native_chunk_conversation( - analyzer, - media: _ChunkMedia, - current_start: float, - current_end: float, - start_time: float, - end_time: float | None, - specific_query: str, - lease_owner: str, -) -> str: - """Uploads the chunk and drives the native Gemini sub-agent to a committed answer.""" - file = None - try: - with TraceSpan(name="upload_video_to_gemini") as span: - file = await analyzer.upload_and_poll_file(media.compressed_path) - span.result = f"Uploaded {file.name}" - logger.info( - f"Invoking Gemini for sub-agent task with model {analyzer.model_name} (streaming)..." - ) - trace_id = CURRENT_TRACE_ID.get() - - if analyzer.ctx.data_engine and trace_id: - analyzer.ctx.data_engine.record_trace( - type="llm_call", - name="video_sub_agent", - payload={ - "contents": [ - f"file://{file.name}", - media.prompt_with_context, - ], - "system_instruction": analyzer.sub_system_prompt, - }, - parent_trace_id=trace_id, - ) - - sub_agent_contents = [ - types.Content( - role="user", - parts=[ - types.Part.from_uri(file_uri=file.uri, mime_type=file.mime_type) - if hasattr(file, "uri") - else file, - types.Part.from_text(text=media.prompt_with_context), - ], - ) - ] - - final_summary, final_analysis = await _drive_sub_agent_loop( - analyzer, - sub_agent_contents, - trace_id, - media, - start_time, - end_time, - specific_query, - ) - - end_str = f"{current_end:.1f}s" if current_end is not None else "unknown" - chunk_result = ( - f"[from {current_start:.1f}s to {end_str}] Summary:" - f" {final_summary} Analysis: {final_analysis}" - ) - analyzer.blackboard.complete_segment( - current_start, - current_end, - specific_query, - lease_owner, - final_summary, - final_analysis, - ) - return chunk_result - finally: - if file: - await gemini_files.delete_cloud_file( - analyzer.client, file.name, analyzer.cloud_files_to_cleanup - ) - - -async def _drive_sub_agent_loop( - analyzer, - sub_agent_contents: list, - trace_id, - media: _ChunkMedia, - start_time: float, - end_time: float | None, - specific_query: str, -) -> tuple[str, str]: - """Return a validated answer and persist its timeline events. - - Raise ``SubAgentAnswerExhausted`` if no answer is accepted within the turn limit. - """ - rejection = _NO_TOOL_CALL_ERROR - - for turn in range(1, SUB_AGENT_MAX_TURNS + 1): - if turn == SUB_AGENT_MAX_TURNS - 1: - sub_agent_contents.append( - types.Content( - role="user", - parts=[types.Part.from_text(text=_SUBMIT_NOW_WARNING)], - ) - ) - - full_text, function_calls, original_parts = await _stream_sub_agent_turn( - analyzer, sub_agent_contents, trace_id - ) - - if function_calls: - answer, rejection = await _handle_sub_agent_calls( - analyzer, - sub_agent_contents, - function_calls, - original_parts, - full_text, - media, - start_time, - end_time, - specific_query, - ) - if answer is not None: - return answer - else: - rejection = _NO_TOOL_CALL_ERROR - sub_agent_contents.append( - types.Content( - role="model", - parts=[types.Part.from_text(text=full_text)], - ) - ) - - raise SubAgentAnswerExhausted(SUB_AGENT_MAX_TURNS, rejection) - - -async def _stream_sub_agent_turn( - analyzer, sub_agent_contents: list, trace_id -) -> tuple[str, list, list]: - """Starts one streamed Gemini turn and consumes it fully.""" - with TraceSpan(name="gemini_stream_content_main") as span: - stream = await asyncio.wait_for( - analyzer.client.aio.models.generate_content_stream( - model=analyzer.model_name, - contents=sub_agent_contents, - config=types.GenerateContentConfig( - system_instruction=analyzer.sub_system_prompt, - tools=[types.Tool(function_declarations=[analyzer.submit_answer_tool])], - safety_settings=SAFETY_SETTINGS_BLOCK_NONE, - ), - ), - timeout=60, - ) - - full_text, function_calls, original_parts = await asyncio.wait_for( - _read_sub_agent_stream(analyzer, span, stream, trace_id), - timeout=analyzer.model_call_timeout_seconds, - ) - return full_text, function_calls, original_parts - - -async def _read_sub_agent_stream(analyzer, span, target_stream, current_trace_id): - """Consumes a streamed response, mirroring text/thoughts into the trace.""" - text = "" - function_calls = [] - accumulated_parts = [] - async for chunk in target_stream: - usage = normalize_usage(getattr(chunk, "usage_metadata", None)) - if usage: - span.payload["usage_metadata"] = usage - - chunk_text = chunk.text or "" - if chunk_text: - text += chunk_text - if analyzer.ctx.data_engine and current_trace_id: - analyzer.ctx.data_engine.stream_output(current_trace_id, chunk_text) - if chunk.function_calls: - function_calls.extend(chunk.function_calls) - - candidates = getattr(chunk, "candidates", None) - if candidates and isinstance(candidates, list) and len(candidates) > 0: - content = getattr(candidates[0], "content", None) - parts = getattr(content, "parts", None) if content else None - if parts: - for part in parts: - accumulated_parts.append(part) - if getattr(part, "thought", False) and part.text: - if analyzer.ctx.data_engine and current_trace_id: - analyzer.ctx.data_engine.stream_output( - current_trace_id, - part.text, - is_thinking=True, - ) - else: - if chunk.function_calls: - for fc in chunk.function_calls: - accumulated_parts.append(types.Part(function_call=fc)) - - return text, function_calls, accumulated_parts - - -async def _handle_sub_agent_calls( - analyzer, - sub_agent_contents: list, - function_calls: list, - original_parts: list, - full_text: str, - media: _ChunkMedia, - start_time: float, - end_time: float | None, - specific_query: str, -) -> tuple[tuple[str, str] | None, str | None]: - """Return ``(answer, rejection)`` after processing one turn's tool calls. - - Persist events for accepted answers; append rejected calls to the conversation - with an error for the model to correct. - """ - for fc in function_calls: - if _tool_name(fc.name) != "submit_answer": - continue - args = dict(fc.args or {}) - timeline_events = args.get("timeline_events", []) - if not isinstance(timeline_events, list): - timeline_events = [] - summary = _clean_text(args.get("summary")) - analysis = _clean_text(args.get("analysis")) - - rejection = _validate_answer(summary, timeline_events, start_time, end_time) - if rejection is not None: - _append_rejection( - sub_agent_contents, original_parts, function_calls, full_text, fc.name, rejection - ) - return None, rejection - - await _persist_timeline_events( - analyzer, timeline_events, media, start_time, end_time, specific_query - ) - return (summary, analysis or "No analysis provided."), None - - _append_rejection( - sub_agent_contents, - original_parts, - function_calls, - full_text, - function_calls[0].name, - _WRONG_TOOL_ERROR, - ) - return None, _WRONG_TOOL_ERROR - - -def _validate_timeline_events( - timeline_events: list, start_time: float, end_time: float | None -) -> str | None: - """Returns the first validation error message for the submitted events, if any.""" - for event in timeline_events: - if ( - "confidence_score" not in event - or not isinstance( - event["confidence_score"], - (int, float), - ) - or isinstance(event["confidence_score"], bool) - or not (0.0 <= float(event["confidence_score"]) <= 1.0) - ): - return ( - "Error: 'confidence_score' is" - " missing or out of bounds in" - " one of the timeline_events." - " It must be a float between" - " 0.0 and 1.0 inclusive. Fix" - " the payload and call" - " submit_answer again." - ) - - if ( - "verification_timestamp_secs" not in event - or not isinstance( - event["verification_timestamp_secs"], - (int, float), - ) - or isinstance(event["verification_timestamp_secs"], bool) - ): - return ( - "Error:" - " 'verification_timestamp_secs'" - " is missing or invalid in one" - " of the timeline_events. Fix" - " the payload and call" - " submit_answer again." - ) - - verification_ts = float( - event.get( - "verification_timestamp_secs", - start_time, - ) - ) - confidence = float(event.get("confidence_score", 0.0)) # noqa: F841 - - if verification_ts < start_time or (end_time is not None and verification_ts > end_time): - return ( - "Error:" - " 'verification_timestamp_secs'" - f" {verification_ts} must fall" - " within the start_time" - f" ({start_time}) and end_time" - f" ({end_time}) boundaries. Fix" - " the payload and call" - " submit_answer again." - ) - return None - - -def _append_rejection( - sub_agent_contents: list, - original_parts: list, - function_calls: list, - full_text: str, - response_name: str, - error_msg: str, -) -> None: - """Appends the model turn plus an error function response to the conversation.""" - sub_agent_contents.append( - types.Content( - role="model", - parts=original_parts - if original_parts - else [types.Part(function_call=fc) for fc in function_calls] - + ([types.Part.from_text(text=full_text)] if full_text else []), - ) - ) - sub_agent_contents.append( - types.Content( - role="user", - parts=[ - types.Part.from_function_response( - name=response_name, - response={"error": (error_msg)}, - ) - ], - ) - ) - - -async def _persist_timeline_events( - analyzer, - timeline_events: list, - media: _ChunkMedia, - start_time: float, - end_time: float | None, - specific_query: str, -) -> None: - """Captures verification screenshots and records validated events on the blackboard.""" - for event in timeline_events: - verification_ts = float( - event.get( - "verification_timestamp_secs", - start_time, - ) - ) - confidence = float(event.get("confidence_score", 0.0)) - relative_offset = max(0.0, verification_ts - media.actual_start) - - out_dir = _va.get_temp_dir("video_analyzer") - out_dir.mkdir(parents=True, exist_ok=True) - existing_imgs = glob.glob(f"{out_dir}/img_*.jpg") - max_idx = -1 - for img in existing_imgs: - match = re.search(r"img_(\d+)\.jpg$", img) - if match: - max_idx = max(max_idx, int(match.group(1))) - next_idx = max_idx + 1 - screenshot_output_path = out_dir / f"img_{next_idx}.jpg" - while screenshot_output_path.exists(): - next_idx += 1 - screenshot_output_path = out_dir / f"img_{next_idx}.jpg" - screenshot_output_path.touch() - analyzer.local_files_to_cleanup.add(screenshot_output_path) - ffmpeg_cmd = [ - "ffmpeg", - "-ss", - str(relative_offset), - "-i", - str(media.path), - "-vframes", - "1", - "-q:v", - "2", - "-y", - str(screenshot_output_path), - ] - try: - proc = await asyncio.create_subprocess_exec( - *ffmpeg_cmd, - stdout=asyncio.subprocess.PIPE, - stderr=asyncio.subprocess.PIPE, - ) - await proc.communicate() - except Exception as e: - logger.warning(f"Failed to extract frame: {e}") - - screenshot_path_str = str(screenshot_output_path) - entry = { - "start": event.get("start_time", start_time), - "end": event.get("end_time", end_time), - "target": specific_query, - "summary": event.get("transcription", ""), - "confidence_score": confidence, - } - if Path(screenshot_output_path).exists(): - entry["screenshot"] = str(screenshot_path_str) - - analyzer._record_blackboard_entry(entry) diff --git a/artemis/agents/video_analyzer/chunk_native.py b/artemis/agents/video_analyzer/chunk_runner.py similarity index 74% rename from artemis/agents/video_analyzer/chunk_native.py rename to artemis/agents/video_analyzer/chunk_runner.py index 1bfd424..fae66de 100644 --- a/artemis/agents/video_analyzer/chunk_native.py +++ b/artemis/agents/video_analyzer/chunk_runner.py @@ -12,29 +12,23 @@ # See the License for the specific language governing permissions and # limitations under the License. -"""Native Gemini execution path for a single video chunk sub-agent. +"""Responses execution path for a single video chunk sub-agent. Extracted from ``video_analyzer.py`` as a pure structural split. Patchable collaborators (``get_controller``, ``compress_video_for_api``, semaphores, LLM event recorders, ...) are looked up late through the facade module so ``mock.patch("artemis.agents.video_analyzer.video_analyzer.")`` targets keep working. The sub-agent conversation itself lives in -``chunk_conversation``. +``universal_engine``. """ import asyncio from pathlib import Path from artemis.agents.video_analyzer import video_analyzer as _va -from artemis.agents.video_analyzer.chunk_agentic import run_agentic_chunk_conversation -from artemis.agents.video_analyzer.chunk_conversation import ( - _ChunkMedia, - _run_native_chunk_conversation, -) from artemis.agents.video_analyzer.reliability import ( AgenticVideoDegraded, classify_video_failure, - is_agentic_rejection, ) from artemis.llm.reliability import retry_policy_for from artemis.utils.logger import get_logger @@ -42,11 +36,23 @@ from artemis.utils.logger import get_logger logger = get_logger(__name__) +class _ChunkMedia: + """Mutable holder for per-attempt media artifacts shared with failure handling.""" + + __slots__ = ("path", "compressed_path", "actual_start", "prompt_with_context") + + def __init__(self): + self.path: Path | None = None + self.compressed_path: Path | None = None + self.actual_start: float | None = None + self.prompt_with_context: str | None = None + + async def exec_single_chunk( analyzer, start_time: float, end_time: float | None, specific_query: str ) -> str: """Analyzes one closed chunk interval, with claim/lease and retry handling.""" - max_retries = analyzer.native_max_retries + max_retries = analyzer.max_retries current_start = round(start_time, 1) if isinstance(start_time, (int, float)) else start_time current_end = round(end_time, 1) if isinstance(end_time, (int, float)) else end_time @@ -85,7 +91,6 @@ async def exec_single_chunk( while attempt <= max_retries: # The mode this attempt was launched in: a parallel chunk may degrade # the run while this one is still in flight. - attempt_mode = analyzer.video_processing try: logger.info( f"Attempt {attempt + 1}/{max_retries + 1} for sub-agent:" @@ -108,49 +113,25 @@ async def exec_single_chunk( ) _ensure_fits_static_ceiling(analyzer, current_start, current_end) - if not analyzer.use_native_gemini: - chunk_result = await analyzer._exec_single_chunk_universal( - compressed_path=media.compressed_path, - raw_path=media.path, - start_time=current_start, - end_time=current_end, - actual_start=media.actual_start, - prompt_with_context=media.prompt_with_context, - specific_query=specific_query, - ) - summary, analysis = analyzer._parse_chunk_result(chunk_result) - analyzer.blackboard.complete_segment( - current_start, - current_end, - specific_query, - lease_owner, - summary, - analysis, - ) - return chunk_result - - if analyzer.video_processing == "agentic": - return await run_agentic_chunk_conversation( - analyzer, - media, - current_start, - current_end, - start_time, - end_time, - specific_query, - lease_owner, - ) - - return await _run_native_chunk_conversation( - analyzer, - media, + chunk_result = await analyzer._exec_single_chunk_universal( + compressed_path=media.compressed_path, + raw_path=media.path, + start_time=current_start, + end_time=current_end, + actual_start=media.actual_start, + prompt_with_context=media.prompt_with_context, + specific_query=specific_query, + ) + summary, analysis = analyzer._parse_chunk_result(chunk_result) + analyzer.blackboard.complete_segment( current_start, current_end, - start_time, - end_time, specific_query, lease_owner, + summary, + analysis, ) + return chunk_result except Exception as e: # Retry decisions are owned by the shared classification layer. @@ -159,22 +140,6 @@ async def exec_single_chunk( # stream output from the failed attempt is discarded, never # surfaced as a complete answer. failure = classify_video_failure(e) - if attempt_mode == "agentic" and is_agentic_rejection(failure, e): - # Switch to static and let the coordinator resize the interval. - _degrade_agentic_to_static(analyzer, e, failure) - return await _finish_failed_chunk( - analyzer, - media, - current_start, - current_end, - specific_query, - lease_owner, - AgenticVideoDegraded( - f"Agentic video processing rejected ({e}); re-plan" - f" {current_start:.1f}s-{current_end:.1f}s at the static chunk size" - ), - retryable=False, - ) attempts_so_far = attempt + 1 if not failure.retryable: logger.warning( @@ -229,26 +194,6 @@ async def exec_single_chunk( ) -def _degrade_agentic_to_static(analyzer, error: Exception, failure) -> None: - """Switches the rest of this run to static video understanding (idempotent).""" - if analyzer.video_processing != "agentic": - return - logger.warning( - f"Agentic video processing rejected ({error}); the rest of this run" - " analyzes video in static mode" - ) - _va._record_llm_event( - "llm_fallback", - { - "reason": "agentic_video_rejected", - "category": failure.category.value, - "error": str(error)[:500], - }, - ) - analyzer.video_processing = "static" - analyzer.chunk_size_seconds = analyzer.static_chunk_size_seconds - - def _ensure_fits_static_ceiling(analyzer, current_start: float, current_end: float) -> None: """Refuses to analyze a clip sized for the agentic ceiling once the run is static. @@ -280,48 +225,6 @@ async def _finish_failed_chunk( ): """Records terminal failure, attempting the universal fallback first when eligible.""" failure = classify_video_failure(error) - if ( - analyzer.use_native_gemini - and failure.should_fallback - and media.path is not None - and media.compressed_path is not None - and media.actual_start is not None - and media.prompt_with_context is not None - ): - try: - logger.warning("Native video chunk exhausted retries; using universal fallback") - _va._record_llm_event( - "llm_fallback", - { - "reason": "native_video_chunk_failed", - "category": failure.category.value, - "error": str(error)[:500], - }, - ) - fallback_result = await analyzer._exec_single_chunk_universal( - compressed_path=media.compressed_path, - raw_path=media.path, - start_time=current_start, - end_time=current_end, - actual_start=media.actual_start, - prompt_with_context=media.prompt_with_context, - specific_query=specific_query, - force_fallback=True, - ) - summary, analysis = analyzer._parse_chunk_result(fallback_result) - analyzer.blackboard.complete_segment( - current_start, - current_end, - specific_query, - lease_owner, - summary, - analysis, - ) - return fallback_result - except Exception as fallback_error: - error = fallback_error - failure = classify_video_failure(error) - retryable = None analyzer.blackboard.fail_segment( current_start, current_end, diff --git a/artemis/agents/video_analyzer/gemini_files.py b/artemis/agents/video_analyzer/gemini_files.py deleted file mode 100644 index ed4e655..0000000 --- a/artemis/agents/video_analyzer/gemini_files.py +++ /dev/null @@ -1,162 +0,0 @@ -# Copyright 2026 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -"""Gemini File API helpers: upload/poll lifecycle and abandoned-file cleanup.""" - -import asyncio -from datetime import datetime -from pathlib import Path -import time - -from artemis.utils.logger import get_logger - -try: - from datetime import UTC -except ImportError: - UTC = UTC - -logger = get_logger(__name__) - -_LAST_CLEANUP_TIME = 0.0 -_CLEANUP_LOCK = asyncio.Lock() - - -async def cleanup_abandoned_gemini_files(client) -> None: - """Scan and delete remaining cloud video files whose creation time has elapsed standard TTL.""" - global _LAST_CLEANUP_TIME - if _CLEANUP_LOCK.locked(): - return - - async with _CLEANUP_LOCK: - now_ts = time.time() - if now_ts - _LAST_CLEANUP_TIME < 3600: - return - _LAST_CLEANUP_TIME = now_ts - - try: - pager = await asyncio.wait_for(client.aio.files.list(), timeout=30) - files = [] - async for f in pager: - files.append(f) - now = datetime.now(UTC) - files_to_delete = [] - - for f in files: - display_name = getattr(f, "display_name", "") or "" - - if ( - display_name.startswith("compressed_") - or display_name.startswith("audio_") - or "artemis" in display_name - ): - create_time = getattr(f, "created_at", None) or getattr(f, "create_time", None) - if not create_time: - continue - - if isinstance(create_time, str): - try: - parsed_time = datetime.fromisoformat(create_time.replace("Z", "+00:00")) - except Exception: - continue - elif isinstance(create_time, datetime): - parsed_time = create_time - else: - continue - - if parsed_time.tzinfo is None: - parsed_time = parsed_time.replace(tzinfo=UTC) - - age_seconds = (now - parsed_time).total_seconds() - - if age_seconds > 7200: - files_to_delete.append(f) - logger.info( - f"Marked expired cloud asset for deletion: {f.name}" - f" ({display_name}), Age: {age_seconds / 3600:.1f}h" - ) - - if files_to_delete: - logger.info(f"Purging {len(files_to_delete)} expired cloud assets in parallel...") - tasks = [ - asyncio.wait_for(client.aio.files.delete(name=f.name), timeout=30) - for f in files_to_delete - ] - await asyncio.gather(*tasks, return_exceptions=True) - except Exception as e: - logger.warning(f"Routine cloud maintenance skipped: {e}") - - -async def delete_cloud_file( - client, file_name: str, cloud_files_to_cleanup: set, *, timeout: float = 30.0 -) -> None: - """Best-effort deletion of an uploaded file; failures are logged, never raised.""" - logger.info(f"Cleaning up cloud file {file_name}...") - try: - await asyncio.wait_for(client.aio.files.delete(name=file_name), timeout=timeout) - cloud_files_to_cleanup.discard(file_name) - except Exception as ce: - logger.error(f"Failed to delete cloud file {file_name}: {ce}") - - -async def upload_and_poll_file(client, compressed_path: Path, cloud_files_to_cleanup: set) -> any: - """Upload a media file to the Gemini File API and poll until it is ACTIVE.""" - logger.info(f"Uploading {compressed_path} to Gemini File API...") - file_size_mb = compressed_path.stat().st_size / (1024 * 1024) - upload_timeout = max(30.0, min(120.0, file_size_mb * 2.0)) - - file = await asyncio.wait_for( - client.aio.files.upload(file=compressed_path), - timeout=upload_timeout, - ) - cloud_files_to_cleanup.add(file.name) - - max_wait = max(60, min(180, 60 + int(file_size_mb * 2))) - - wait_interval = 0.5 - start_wait = time.time() - retry_count = 0 - max_retries = 3 - - while True: - try: - f_state = await asyncio.wait_for(client.aio.files.get(name=file.name), timeout=20) - retry_count = 0 - except Exception as poll_error: - retry_count += 1 - logger.warning( - f"Temporary issue polling file {file.name} (attempt" - f" {retry_count}/{max_retries}): {poll_error}" - ) - if retry_count > max_retries: - raise RuntimeError( - f"Failed to poll Gemini File API after {max_retries} attempts: {poll_error}" - ) - await asyncio.sleep(2.0) - continue - - if f_state.state.name == "ACTIVE": - break - elif f_state.state.name == "FAILED": - raise RuntimeError(f"Gemini File API processing failed for {file.name}") - - if time.time() - start_wait > max_wait: - raise TimeoutError( - f"Gemini File API processing timeout for {file.name}" - f" (Waited {max_wait}s for size {file_size_mb:.1f}MB)" - ) - - logger.info(f"File {file.name} is {f_state.state.name}, waiting {wait_interval}s...") - await asyncio.sleep(wait_interval) - wait_interval = min(3.0, wait_interval * 1.5) - return file diff --git a/artemis/agents/video_analyzer/native_coordinator.py b/artemis/agents/video_analyzer/native_coordinator.py deleted file mode 100644 index 10fb3ae..0000000 --- a/artemis/agents/video_analyzer/native_coordinator.py +++ /dev/null @@ -1,541 +0,0 @@ -# Copyright 2026 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -"""Native Gemini coordinator loop for the video analyzer main agent. - -Extracted from ``video_analyzer.py`` as a pure structural split. Patchable -collaborators are looked up late through the facade module so -``mock.patch("artemis.agents.video_analyzer.video_analyzer.")`` targets -keep working. -""" - -import asyncio -import os -from pathlib import Path -import shutil -import tempfile - -from google.genai import types - -from artemis.agents.video_analyzer import video_analyzer as _va -from artemis.agents.video_analyzer.reliability import classify_video_failure -from artemis.constants import SAFETY_SETTINGS_BLOCK_NONE -from artemis.data_engine.trace import CURRENT_TRACE_ID, TraceSpan -from artemis.llm.google import normalize_usage -from artemis.utils.logger import get_logger - -logger = get_logger(__name__) - - -class _DummyResponse: - """Aggregated view over a consumed stream, shaped like a full response.""" - - def __init__(self, text, function_calls, parts): - self.text = text - self.function_calls = function_calls - self.candidates = [ - types.Candidate( - content=types.Content( - role="model", - parts=parts if parts else ([types.Part.from_text(text=text)] if text else []), - ) - ) - ] - - -async def run_native( - analyzer, - ctx, - time_description: str, - purpose: str, - system_prompt: str, - temperature: float, - thinking_level, -) -> tuple[str, str]: - """Drives the native Gemini coordinator loop to a final answer.""" - tools_declaration = analyzer.tools_declaration - - contents = [ - types.Content( - role="user", - parts=[ - types.Part.from_text( - text=(f"Time description: {time_description}\nPurpose: {purpose}") - ) - ], - ) - ] - - agent_outcome = "" - status = "success" - max_iterations = 10 - iterations = 0 - last_ledger_index = 0 - - try: - while iterations < max_iterations: - iterations += 1 - logger.info(f"Iteration {iterations}: Invoking Native Gemini SDK...") - - analyzer._clean_blackboard() - - last_ledger_index = _append_ledger_diff(analyzer, contents, last_ledger_index) - - is_final_turn = iterations == max_iterations - _append_turn_guidance(contents, iterations, max_iterations, is_final_turn) - - response = await _stream_main_turn( - analyzer, - ctx, - contents, - system_prompt, - temperature, - thinking_level, - tools_declaration, - is_final_turn, - ) - - function_calls = response.function_calls - if not function_calls: - agent_outcome = response.text - break - - if response.candidates and response.candidates[0].content: - contents.append(response.candidates[0].content) - else: - contents.append( - types.Content( - role="model", - parts=[types.Part(function_call=fc) for fc in function_calls], - ) - ) - - tool_response_parts = await _execute_native_tool_calls(analyzer, function_calls) - - if tool_response_parts: - contents.append(types.Content(role="user", parts=tool_response_parts)) - - if iterations >= max_iterations and not agent_outcome: - agent_outcome = ( - "Error: Video analyzer agent reached maximum iterations" - " without settling on a final answer." - ) - status = "error" - - except Exception as e: - logger.error(f"Video analyzer failed: {e}") - failure = classify_video_failure(e) - if failure.should_fallback: - logger.warning( - f"Native coordinator failed with {failure.category.value}; " - "continuing through universal fallback" - ) - agent_outcome, status = await analyzer._run_universal( - time_description, - purpose, - system_prompt, - force_fallback=True, - ) - else: - agent_outcome = f"Video analysis failed: {e}" - status = "error" - finally: - analyzer._record_reliability_metrics() - await _cleanup_native_run(analyzer) - - return agent_outcome, status - - -def _append_ledger_diff(analyzer, contents: list, last_ledger_index: int) -> int: - """Appends new blackboard entries (and proofs) since the last coordinator turn.""" - new_entries = analyzer.blackboard_entries[last_ledger_index:] - if analyzer.enable_ledger and new_entries: - lines = [] - image_parts = [] - for e in new_entries: - line = f"[{e['start']}s - {e['end']}s] SUMMARY: {e['summary']}" - screenshot_file = e.get("screenshot") or e.get("screenshot_path") - if screenshot_file and Path(screenshot_file).exists(): - line += f" PROOF: {Path(screenshot_file).name}" - image_parts.append( - types.Part.from_text(text=f"PROOF: {Path(screenshot_file).name}") - ) - image_parts.append( - types.Part.from_bytes( - data=Path(screenshot_file).read_bytes(), - mime_type="image/jpeg", - ) - ) - lines.append(line) - diff_text = "NEW BLACKBOARD ENTRIES ADDED: " + " | ".join(lines) - contents.append( - types.Content( - role="user", - parts=[types.Part.from_text(text=diff_text)], - ) - ) - if image_parts: - contents.append(types.Content(role="user", parts=image_parts)) - last_ledger_index = len(analyzer.blackboard_entries) - return last_ledger_index - - -def _append_turn_guidance( - contents: list, iterations: int, max_iterations: int, is_final_turn: bool -) -> None: - """Appends per-turn steering messages (final-turn notice or progress nudge).""" - if is_final_turn: - contents.append( - types.Content( - role="user", - parts=[ - types.Part.from_text( - text=( - "This is your final iteration; all" - " tools are stripped, and you must" - " provide your final answer directly." - ) - ) - ], - ) - ) - else: - if iterations > 1: - contents.append( - types.Content( - role="user", - parts=[ - types.Part.from_text( - text=( - "You have not completed the video" - " analysis yet (iteration" - f" {iterations} of" - f" {max_iterations})." - ) - ) - ], - ) - ) - - -def _record_main_llm_trace( - ctx, trace_id, contents: list, system_prompt: str, tools_declaration, is_final_turn: bool -) -> None: - """Records the sanitized coordinator LLM call into the trace store.""" - serialized_contents = [] - for c in contents: - if hasattr(c, "model_dump"): - dumped = c.model_dump() - if isinstance(dumped, dict) and "parts" in dumped and dumped["parts"]: - for p in dumped["parts"]: - if ( - isinstance(p, dict) - and "inline_data" in p - and p["inline_data"] - and "data" in p["inline_data"] - ): - p["inline_data"]["data"] = "" - serialized_contents.append(dumped) - else: - serialized_contents.append(str(c)) - - ctx.data_engine.record_trace( - type="llm_call", - name="video_analyzer_main", - payload={ - "contents": serialized_contents, - "system_instruction": system_prompt, - "tools": ( - [t.name for t in tools_declaration] - if (tools_declaration and not is_final_turn) - else [] - ), - }, - parent_trace_id=trace_id, - ) - - -async def _stream_main_turn( - analyzer, - ctx, - contents: list, - system_prompt: str, - temperature: float, - thinking_level, - tools_declaration, - is_final_turn: bool, -): - """Runs one traced, retry-wrapped streaming turn of the main coordinator.""" - with TraceSpan(name="gemini_main_agent_call") as span: - trace_id = CURRENT_TRACE_ID.get() - - if ctx.data_engine and trace_id: - _record_main_llm_trace( - ctx, trace_id, contents, system_prompt, tools_declaration, is_final_turn - ) - - async def run_stream(): - return await _consume_main_stream( - analyzer, - ctx, - span, - trace_id, - contents, - system_prompt, - temperature, - thinking_level, - tools_declaration, - is_final_turn, - ) - - response = await _va._invoke_with_retry( - lambda: asyncio.wait_for(run_stream(), timeout=300), - "Native Gemini video coordinator", - ) - span.result = ( - f"Function calls: {len(response.function_calls)}" - if response.function_calls - else "Final answer" - ) - return response - - -async def _consume_main_stream( - analyzer, - ctx, - span, - trace_id, - contents: list, - system_prompt: str, - temperature: float, - thinking_level, - tools_declaration, - is_final_turn: bool, -) -> _DummyResponse: - """Starts the coordinator stream and aggregates it into a response object.""" - stream = await asyncio.wait_for( - analyzer.client.aio.models.generate_content_stream( - model=analyzer.model_name, - contents=contents, - config=types.GenerateContentConfig( - system_instruction=system_prompt, - temperature=temperature, - tools=[] - if is_final_turn - else [types.Tool(function_declarations=tools_declaration)], - safety_settings=SAFETY_SETTINGS_BLOCK_NONE, - **( - {"thinking_config": types.ThinkingConfig(thinking_level=thinking_level)} - if thinking_level - else {} - ), - ), - ), - timeout=60, - ) - - text = "" - accumulated_parts = [] - function_calls = [] - - async for chunk in stream: - usage = normalize_usage(getattr(chunk, "usage_metadata", None)) - if usage: - span.payload["usage_metadata"] = usage - - chunk_text = chunk.text or "" - text += chunk_text - if ctx.data_engine and trace_id and chunk_text: - ctx.data_engine.stream_output(trace_id, chunk_text, is_thinking=False) - - if chunk.function_calls: - function_calls.extend(chunk.function_calls) - - candidates = getattr(chunk, "candidates", None) - if candidates and isinstance(candidates, list) and len(candidates) > 0: - content = getattr(candidates[0], "content", None) - parts = getattr(content, "parts", None) if content else None - if parts: - for part in parts: - accumulated_parts.append(part) - if getattr(part, "thought", False) and part.text: - if ctx.data_engine and trace_id: - ctx.data_engine.stream_output( - trace_id, - part.text, - is_thinking=True, - ) - else: - if chunk.function_calls: - for fc in chunk.function_calls: - accumulated_parts.append(types.Part(function_call=fc)) - - return _DummyResponse(text, function_calls, accumulated_parts) - - -async def _execute_native_tool_calls(analyzer, function_calls: list) -> list: - """Executes coordinator tool calls (parallel where safe) and collects responses.""" - sub_agent_calls = [ - fc - for fc in function_calls - if (fc.name.split(":")[-1] if ":" in fc.name else fc.name) == "spawn_sub_agent" - ] - audio_only_calls = [ - fc - for fc in function_calls - if (fc.name.split(":")[-1] if ":" in fc.name else fc.name) == "analyze_audio_only" - ] - other_calls = [ - fc - for fc in function_calls - if (fc.name.split(":")[-1] if ":" in fc.name else fc.name) - not in ["spawn_sub_agent", "analyze_audio_only"] - ] - - tool_response_parts = [] - - if sub_agent_calls: - await _run_spawn_calls(analyzer, sub_agent_calls, tool_response_parts) - - if audio_only_calls: - await _run_audio_calls(analyzer, audio_only_calls, tool_response_parts) - - await _run_other_calls(analyzer, other_calls, tool_response_parts) - - return tool_response_parts - - -async def _run_spawn_calls(analyzer, sub_agent_calls: list, tool_response_parts: list) -> None: - """Runs spawn_sub_agent calls in parallel and appends their responses.""" - logger.info(f"Executing {len(sub_agent_calls)} sub-agent calls in parallel...") - - async def bounded_spawn(fc): - # exec_spawn_sub_agent limits each actual model leaf. - # Holding the same semaphore around the coordinator - # would deadlock when all slots wait for child slots. - return await analyzer.exec_spawn_sub_agent( - fc.args.get("start_time"), - fc.args.get("end_time"), - fc.args.get("specific_query"), - ) - - tasks = [bounded_spawn(fc) for fc in sub_agent_calls] - results = await asyncio.gather(*tasks, return_exceptions=True) - - for fc, result in zip(sub_agent_calls, results): - if isinstance(result, Exception): - error_msg = f"Sub-agent failed. Error: {result}" - logger.error(error_msg) - tool_response_parts.append( - types.Part.from_function_response(name=fc.name, response={"error": error_msg}) - ) - else: - tool_response_parts.append( - types.Part.from_function_response(name=fc.name, response={"result": result}) - ) - - -async def _run_audio_calls(analyzer, audio_only_calls: list, tool_response_parts: list) -> None: - """Runs analyze_audio_only calls in parallel and appends their responses.""" - logger.info(f"Executing {len(audio_only_calls)} analyze_audio_only calls in parallel...") - - async def bounded_audio_spawn(fc): - async with _va.API_SEMAPHORE: - return await analyzer.exec_analyze_audio_only( - fc.args.get("start_time"), - fc.args.get("end_time"), - fc.args.get("specific_query"), - ) - - tasks = [bounded_audio_spawn(fc) for fc in audio_only_calls] - results = await asyncio.gather(*tasks, return_exceptions=True) - - for fc, result in zip(audio_only_calls, results): - if isinstance(result, Exception): - error_msg = f"Audio analysis failed. Error: {result}" - logger.error(error_msg) - tool_response_parts.append( - types.Part.from_function_response(name=fc.name, response={"error": error_msg}) - ) - else: - tool_response_parts.append( - types.Part.from_function_response(name=fc.name, response={"result": result}) - ) - - -async def _run_other_calls(analyzer, other_calls: list, tool_response_parts: list) -> None: - """Runs remaining coordinator tool calls sequentially.""" - for fc in other_calls: - name = fc.name.split(":")[-1] if ":" in fc.name else fc.name - args = fc.args - logger.info(f"Executing tool '{name}' sequentially...") - - if name == "extract_segment_metadata": - try: - res = await analyzer.exec_extract_segment_metadata( - args.get("start_time"), args.get("end_time") - ) - tool_response_parts.append( - types.Part.from_function_response(name=name, response={"result": res}) - ) - except Exception as e: - tool_response_parts.append( - types.Part.from_function_response(name=name, response={"error": str(e)}) - ) - - -async def _cleanup_native_run(analyzer) -> None: - """Releases remaining cloud files and temporary local media after a run.""" - if analyzer.cloud_files_to_cleanup: - logger.info( - f"Cleaning up {len(analyzer.cloud_files_to_cleanup)} remaining" - " cloud files in parallel..." - ) - tasks = [ - asyncio.wait_for(analyzer.client.aio.files.delete(name=name), timeout=30) - for name in list(analyzer.cloud_files_to_cleanup) - ] - await asyncio.gather(*tasks, return_exceptions=True) - analyzer.cloud_files_to_cleanup.clear() - - if os.environ.get("KEEP_VIDEOS") or os.environ.get("ARTEMIS_DEBUG"): - logger.info("Skipping cleanup of local video files and directories due to debug mode.") - else: - for path in list(analyzer.local_files_to_cleanup): - try: - if path.exists(): - logger.info(f"Cleaning up local file {path}...") - path.unlink() - except Exception as e: - logger.error(f"Failed to delete local file {path}: {e}") - - for dir_path in list(analyzer.local_dirs_to_cleanup): - try: - resolved = dir_path.resolve() - system_dirs = { - Path("/").resolve(), - Path("/tmp").resolve(), - Path("/var/tmp").resolve(), - Path.home().resolve(), - Path(tempfile.gettempdir()).resolve(), - } - if resolved in system_dirs: - logger.debug(f"Skipping deletion of root/system directory: {dir_path}") - continue - - if dir_path.exists(): - logger.info(f"Cleaning up local directory {dir_path}...") - shutil.rmtree(dir_path, ignore_errors=True) - except Exception as e: - logger.error(f"Failed to delete local directory {dir_path}: {e}") diff --git a/artemis/agents/video_analyzer/universal_engine.py b/artemis/agents/video_analyzer/universal_engine.py index 39e6127..f1e8809 100644 --- a/artemis/agents/video_analyzer/universal_engine.py +++ b/artemis/agents/video_analyzer/universal_engine.py @@ -35,6 +35,8 @@ from langchain_core.messages import ( ToolMessage, ) +from artemis.llm.structured import content_to_text + from artemis.agents.video_analyzer import video_analyzer as _va from artemis.agents.video_analyzer.reliability import ( SubAgentAnswerExhausted, @@ -241,7 +243,7 @@ def _extract_submit_payload(response) -> tuple[str, str, list]: return final_summary, final_analysis, list(args.get("timeline_events") or []) raw_content = getattr(response, "content", None) - text_content = str(raw_content).strip() if raw_content else "" + text_content = content_to_text(raw_content).strip() if text_content: return text_content[:200].replace("\n", " "), text_content, [] @@ -435,7 +437,7 @@ async def run_universal( messages.append(response) if not getattr(response, "tool_calls", None): - agent_outcome = str(response.content) + agent_outcome = content_to_text(response.content) break for tc in response.tool_calls: diff --git a/artemis/agents/video_analyzer/universal_tools.py b/artemis/agents/video_analyzer/universal_tools.py index 9973840..a2579b6 100644 --- a/artemis/agents/video_analyzer/universal_tools.py +++ b/artemis/agents/video_analyzer/universal_tools.py @@ -14,14 +14,11 @@ """Tool schema declarations for the video analyzer. -Holds both the OpenAI-style function schemas used by the universal -(LangChain) engine and the builders for the native Gemini -``FunctionDeclaration`` equivalents. Pure data/declarations only. +OpenAI function schemas for the Responses video analysis engine. """ from typing import Any -from google.genai import types UNIVERSAL_SUBMIT_ANSWER_TOOL: dict[str, Any] = { "type": "function", @@ -172,152 +169,3 @@ UNIVERSAL_MAIN_TOOLS: list[dict[str, Any]] = [ }, }, ] - - -def build_native_tools_declaration() -> list[types.FunctionDeclaration]: - """Builds the native Gemini declarations for the coordinator tools.""" - return [ - types.FunctionDeclaration( - name="extract_segment_metadata", - description=( - "Retrieves metadata (such as duration_seconds and" - " file_size_mb) for a specific video segment. Does not" - " return the video content or perform content analysis." - ), - parameters=types.Schema( - type=types.Type.OBJECT, - properties={ - "start_time": types.Schema( - type=types.Type.NUMBER, - description="Start time in seconds", - ), - "end_time": types.Schema( - type=types.Type.NUMBER, - description=( - "End time in seconds (optional, defaults to latest available time)" - ), - ), - }, - required=["start_time"], - ), - ), - types.FunctionDeclaration( - name="spawn_sub_agent", - description=( - "Spawns a sub-agent to analyze both visual and audio" - " content of a video segment. Parallelizes chunk analysis" - " across workers. Returns combined summary and analysis." - ), - parameters=types.Schema( - type=types.Type.OBJECT, - properties={ - "start_time": types.Schema( - type=types.Type.NUMBER, - description="Start time in seconds", - ), - "end_time": types.Schema( - type=types.Type.NUMBER, - description=( - "End time in seconds. Use the maximum available time if not specified." - ), - ), - "specific_query": types.Schema( - type=types.Type.STRING, - description=("Specific query or intent for the sub-agent"), - ), - }, - required=["start_time", "specific_query"], - ), - ), - types.FunctionDeclaration( - name="analyze_audio_only", - description=( - "Extracts and analyzes only the audio track from a video" - " segment. More efficient for non-visual tasks." - ), - parameters=types.Schema( - type=types.Type.OBJECT, - properties={ - "start_time": types.Schema( - type=types.Type.NUMBER, - description="Start time in seconds", - ), - "end_time": types.Schema( - type=types.Type.NUMBER, - description="End time in seconds (optional)", - ), - "specific_query": types.Schema( - type=types.Type.STRING, - description=("Specific query or intent for the audio content"), - ), - }, - required=["start_time", "specific_query"], - ), - ), - ] - - -def build_submit_answer_declaration() -> types.FunctionDeclaration: - """Builds the native Gemini declaration for the sub-agent submit_answer tool.""" - return types.FunctionDeclaration( - name="submit_answer", - description=("Submit the final findings for the requested segment analysis."), - parameters=types.Schema( - type=types.Type.OBJECT, - properties={ - "summary": types.Schema( - type=types.Type.STRING, - description=("A short paragraph summarizing of your findings."), - ), - "analysis": types.Schema( - type=types.Type.STRING, - description="A short paragraph of detailed analysis.", - ), - "timeline_events": types.Schema( - type=types.Type.ARRAY, - description=( - "List of detected events matching the query. If no" - " relevant events occurred in the segment, return" - " an empty array." - ), - items=types.Schema( - type=types.Type.OBJECT, - properties={ - "start_time": types.Schema( - type=types.Type.NUMBER, - description="Event start time (seconds)", - ), - "end_time": types.Schema( - type=types.Type.NUMBER, - description="Event end time (seconds)", - ), - "transcription": types.Schema( - type=types.Type.STRING, - description=( - "A concise transcription of what happened in the event. " - ), - ), - "confidence_score": types.Schema( - type=types.Type.NUMBER, - description=("Confidence score between 0 and 1"), - ), - "verification_timestamp_secs": types.Schema( - type=types.Type.NUMBER, - description=( - "Exact timestamp (seconds) for verification screenshot." - ), - ), - }, - required=[ - "start_time", - "end_time", - "transcription", - "confidence_score", - "verification_timestamp_secs", - ], - ), - ), - }, - required=["summary", "analysis", "timeline_events"], - ), - ) diff --git a/artemis/agents/video_analyzer/video_analyzer.py b/artemis/agents/video_analyzer/video_analyzer.py index d4d95f1..cadb975 100644 --- a/artemis/agents/video_analyzer/video_analyzer.py +++ b/artemis/agents/video_analyzer/video_analyzer.py @@ -14,9 +14,8 @@ """VideoAnalyzer facade: entry point and shared runtime state. -The execution engines live in sibling modules (``chunk_native``, -``audio_native``, ``universal_engine``, ``native_coordinator``, -``gemini_files``, ``universal_tools``) and resolve their patchable +The execution engines live in sibling modules (``chunk_runner``, +``audio_runner``, ``universal_engine``, ``universal_tools``) and resolve their patchable collaborators through THIS module's namespace, so existing ``mock.patch("artemis.agents.video_analyzer.video_analyzer.")`` targets keep working. Keep the imports below in place even when the facade @@ -36,8 +35,6 @@ import tempfile import time from typing import Any -from google import genai -from google.genai import types from langchain_core.messages import ( BaseMessage, HumanMessage, @@ -49,9 +46,6 @@ from artemis.agents.video_analyzer.conflict_resolution import ( ConflictResolutionService, ) from artemis.agents.video_analyzer.blackboard import get_video_blackboard -from artemis.agents.video_analyzer.gemini_files import ( - cleanup_abandoned_gemini_files, -) from artemis.agents.video_analyzer.reliability import ( AgenticVideoDegraded, VideoCircuitBreaker, @@ -60,19 +54,11 @@ from artemis.agents.video_analyzer.reliability import ( from artemis.agents.video_analyzer.universal_tools import ( UNIVERSAL_MAIN_TOOLS, UNIVERSAL_SUBMIT_ANSWER_TOOL, - build_native_tools_declaration, - build_submit_answer_declaration, ) from artemis.config import get_temp_dir, settings -from artemis.constants import SAFETY_SETTINGS_BLOCK_NONE from artemis.context import ArtemisContext from artemis.controllers.controller_factory import get_controller from artemis.data_engine.trace import CURRENT_TRACE_ID, TraceSpan, trace -from artemis.llm.google import ( - is_gemini_model, - resolve_video_processing, - strip_provider_prefix, -) from artemis.llm.reliability import retry_policy_for from artemis.services.llm import _record_llm_event, _record_llm_retry, get_llm from artemis.utils.logger import get_logger @@ -159,16 +145,8 @@ class VideoAnalyzer: getattr(agent_config, "enable_video_ledger", True), ) self.static_chunk_size_seconds = float( - getattr(self.video_config, "chunk_size_seconds", 60.0) + getattr(self.video_config, "chunk_size_seconds", settings.ARTEMIS_VIDEO_CHUNK_SECONDS) ) - self.agentic_chunk_size_seconds = float( - getattr(self.video_config, "agentic_chunk_size_seconds", 600.0) - ) - self.agentic_call_timeout_seconds = float( - getattr(self.video_config, "agentic_call_timeout_seconds", 300.0) - ) - # Effective chunk ceiling; re-derived once the engine picks a - # video-processing mode (agentic sub-agents take long clips). self.chunk_size_seconds = self.static_chunk_size_seconds self.video_processing = "static" self.min_chunk_seconds = float(getattr(self.video_config, "min_chunk_seconds", 4.0)) @@ -178,9 +156,15 @@ class VideoAnalyzer: self.max_dense_action_frames = int( getattr(self.video_config, "max_dense_action_frames", 24) ) - self.native_max_retries = int(getattr(self.video_config, "native_max_retries", 1)) + self.max_retries = int( + getattr(self.video_config, "max_retries", settings.ARTEMIS_VIDEO_MAX_RETRIES) + ) self.model_call_timeout_seconds = float( - getattr(self.video_config, "model_call_timeout_seconds", 120.0) + getattr( + self.video_config, + "model_call_timeout_seconds", + settings.ARTEMIS_VIDEO_TIMEOUT_SECONDS, + ) ) breaker = getattr(ctx, "_video_circuit_breaker", None) if breaker is None: @@ -210,7 +194,6 @@ class VideoAnalyzer: audio_prompt_path.read_text(encoding="utf-8") if audio_prompt_path.exists() else "" ) - self._init_tools() self._init_engine() def _get_universal_llm(self, *, use_fallback: bool = False): @@ -406,65 +389,13 @@ class VideoAnalyzer: analysis = match.group(2).strip() if match.group(2) else None return summary, analysis - def _init_tools(self) -> None: - """Initializes native and sub-agent tool declarations.""" - self.tools_declaration = build_native_tools_declaration() - self.submit_answer_tool = build_submit_answer_declaration() - def _init_engine(self) -> None: - """Initializes model engine and decides whether to use native Gemini or Universal path.""" - ctx = self.ctx - llm_config = getattr(ctx, "llm_config", None) + llm_config = getattr(self.ctx, "llm_config", None) utils_cfg = getattr(llm_config, "utils", None) if llm_config else None llm_cfg = getattr(utils_cfg, "video_analyzer", None) if utils_cfg else None - self.model_name = strip_provider_prefix( - llm_cfg.model if (llm_cfg and hasattr(llm_cfg, "model")) else "gemini-3.8-flash" - ) - - has_google_key = bool( - settings.GOOGLE_API_KEY and settings.GOOGLE_API_KEY.get_secret_value() - ) - - # If client is already set on ctx or explicit Gemini configuration - self.client = getattr(ctx, "_genai_client", None) - if self.client is not None: - self.use_native_gemini = True - elif has_google_key and is_gemini_model(self.model_name): - try: - self.client = genai.Client(api_key=settings.GOOGLE_API_KEY.get_secret_value()) - ctx._genai_client = self.client - self.use_native_gemini = True - asyncio.create_task(cleanup_abandoned_gemini_files(self.client)) - except Exception as e: - logger.warning( - f"Failed to initialize native Gemini client: {e}. Using universal engine." - ) - self.use_native_gemini = False - else: - self.use_native_gemini = False - self._resolve_video_processing() - - def _resolve_video_processing(self) -> None: - """Picks static vs agentic video understanding for the sub-agents. - - Agentic processing (Gemini Interactions API) needs the native client - and a supporting model; the configured knob (``auto`` / ``agentic`` / - ``static``) decides the rest. The chunk ceiling follows the mode - because agentic sub-agents are built to take long clips. - """ - configured = getattr(self.video_config, "processing", "auto") - mode = "static" - if self.use_native_gemini: - mode = resolve_video_processing(configured, self.model_name) - self.video_processing = mode - self.chunk_size_seconds = ( - self.agentic_chunk_size_seconds if mode == "agentic" else self.static_chunk_size_seconds - ) - if mode == "agentic": - logger.info( - f"Video sub-agents use agentic video understanding on {self.model_name}" - f" (chunk ceiling {self.chunk_size_seconds:.0f}s)" - ) + self.model_name = getattr(llm_cfg, "model", None) or settings.OPENAI_MODEL + self.video_processing = "static" + self.chunk_size_seconds = self.static_chunk_size_seconds @property def blackboard_ledger(self) -> str: @@ -476,13 +407,6 @@ class VideoAnalyzer: lines.append(f"{e['start']}s - {e['end']}s: {e['summary']}") return " | ".join(lines) - async def upload_and_poll_file(self, compressed_path: Path) -> any: - from artemis.agents.video_analyzer import gemini_files - - return await gemini_files.upload_and_poll_file( - self.client, compressed_path, self.cloud_files_to_cleanup - ) - def get_overlapping_warnings(self, start_time: float, end_time: float | None) -> list[dict]: warnings = [] if not isinstance(start_time, (int, float)) or ( @@ -739,17 +663,17 @@ class VideoAnalyzer: async def _exec_single_chunk( self, start_time: float, end_time: float | None, specific_query: str ) -> str: - from artemis.agents.video_analyzer import chunk_native + from artemis.agents.video_analyzer import chunk_runner - return await chunk_native.exec_single_chunk(self, start_time, end_time, specific_query) + return await chunk_runner.exec_single_chunk(self, start_time, end_time, specific_query) @trace(type="tool", name="analyze_audio_only") async def exec_analyze_audio_only( self, start_time: float, end_time: float | None, specific_query: str ) -> str: - from artemis.agents.video_analyzer import audio_native + from artemis.agents.video_analyzer import audio_runner - return await audio_native.exec_analyze_audio_only( + return await audio_runner.exec_analyze_audio_only( self, start_time, end_time, specific_query ) @@ -837,15 +761,12 @@ class VideoAnalyzer: utils_cfg = getattr(llm_config, "utils", None) if llm_config else None llm_cfg = getattr(utils_cfg, "video_analyzer", None) if utils_cfg else None temperature = 0.2 - thinking_level = None if llm_cfg: - self.model_name = strip_provider_prefix(llm_cfg.model) + self.model_name = llm_cfg.model if getattr(llm_cfg, "temperature", None) is not None: temperature = llm_cfg.temperature - if getattr(llm_cfg, "thinking_level", None) is not None: - thinking_level = llm_cfg.thinking_level else: - self.model_name = "gemini-3.8-flash" + self.model_name = settings.OPENAI_MODEL # Track files for cleanup self.local_files_to_cleanup = set() @@ -868,24 +789,11 @@ class VideoAnalyzer: " proceeding.\n" ) - if not self.use_native_gemini: - try: - return await self._run_universal( - time_description=time_description, - purpose=purpose, - system_prompt=system_prompt, - ) - finally: - await self._cleanup_universal_resources() - - from artemis.agents.video_analyzer import native_coordinator - - return await native_coordinator.run_native( - self, - ctx, - time_description, - purpose, - system_prompt, - temperature, - thinking_level, - ) + try: + return await self._run_universal( + time_description=time_description, + purpose=purpose, + system_prompt=system_prompt, + ) + finally: + await self._cleanup_universal_resources() diff --git a/artemis/config/__init__.py b/artemis/config/__init__.py index e539f93..0b15659 100644 --- a/artemis/config/__init__.py +++ b/artemis/config/__init__.py @@ -57,14 +57,10 @@ from artemis.config.constants import ( ENV_ADB_HOST, ENV_ADB_PORT, ENV_ADB_SERVER_SOCKET, - ENV_ANTHROPIC_API_KEY, ENV_ANTIGRAVITY_APP_DIR, ENV_ANTIGRAVITY_LS_ADDRESS, ENV_DATA_ENGINE_DB_PATH, ENV_EVENTS_OUTPUT_PATH, - ENV_GCP_API_KEY, - ENV_GEMINI_API_KEY, - ENV_GOOGLE_API_KEY, ENV_KEEP_VIDEOS, ENV_ARTEMIS_APP_DIR, ENV_ARTEMIS_CLOUD_GATEWAY_URL, @@ -83,11 +79,9 @@ from artemis.config.constants import ( ENV_ARTEMIS_TRACES_DIR, ENV_ARTEMIS_USE_FILE_API, ENV_ARTEMIS_USE_USER_DIR, - ENV_OPEN_ROUTER_API_KEY, ENV_OPENAI_API_KEY, ENV_OPENAI_BASE_URL, ENV_RESULTS_OUTPUT_PATH, - ENV_XAI_API_KEY, IPC_PORT_FILENAME, LLM_CONFIG_FILENAME, LLM_CONFIG_OVERRIDE_FILENAME, @@ -110,7 +104,6 @@ from artemis.config.llm import ( initialize_llm_config, load_llm_config_override, parse_llm_config, - validate_vertex_ai_credentials, ) from artemis.config.output import ( OutputConfig, @@ -206,7 +199,6 @@ __all__ = [ "get_default_llm_config", "deep_merge_llm_config", "load_llm_config_override", - "validate_vertex_ai_credentials", # Agent & Tool Config "AgentGlobalConfig", "CheckerConfig", @@ -290,14 +282,8 @@ __all__ = [ "ENV_ADB_HOST", "ENV_ADB_PORT", "ENV_ADB_SERVER_SOCKET", - "ENV_GOOGLE_API_KEY", - "ENV_GEMINI_API_KEY", - "ENV_GCP_API_KEY", "ENV_OPENAI_API_KEY", "ENV_OPENAI_BASE_URL", - "ENV_ANTHROPIC_API_KEY", - "ENV_OPEN_ROUTER_API_KEY", - "ENV_XAI_API_KEY", "ENV_ARTEMIS_EXPLORER_VERSION", "ENV_ARTEMIS_DEFAULT_PROFILE", "ENV_ARTEMIS_DEFAULT_MODEL", diff --git a/artemis/config/agent.py b/artemis/config/agent.py index d075d16..4d30278 100644 --- a/artemis/config/agent.py +++ b/artemis/config/agent.py @@ -26,7 +26,8 @@ from artemis.config.constants import ( ExplorerVersion, ) from artemis.config.paths import ROOT_DIR, get_config_path -from artemis.llm.google import VideoProcessing +from artemis.config.settings import settings +from artemis.config.core.interpolator import interpolate_config_value from artemis.utils.file import load_jsonc from artemis.utils.logger import get_logger @@ -48,7 +49,7 @@ class VideoAnalyzerConfig(BaseModel): description="Whether to enable video action ledger state tracking.", ) chunk_size_seconds: float = Field( - default=60.0, + default_factory=lambda: settings.ARTEMIS_VIDEO_CHUNK_SECONDS, ge=5.0, le=300.0, description="Maximum duration of an initial video-analysis chunk.", @@ -95,44 +96,20 @@ class VideoAnalyzerConfig(BaseModel): le=120, description="Maximum additional action-proximal keyframes per chunk.", ) - native_max_retries: int = Field( - default=1, + max_retries: int = Field( + default_factory=lambda: settings.ARTEMIS_VIDEO_MAX_RETRIES, ge=0, le=5, description=( - "Retries against the native video provider before switching to the " + "Retries against the video model before switching to the " "configured universal fallback. A value of 1 means two total attempts." ), ) model_call_timeout_seconds: float = Field( - default=120.0, + default_factory=lambda: settings.ARTEMIS_VIDEO_TIMEOUT_SECONDS, ge=15.0, le=600.0, - description="Hard timeout for one native or universal video-model response.", - ) - processing: VideoProcessing = Field( - default="auto", - description=( - "How Gemini sub-agents watch a clip. 'agentic' lets the model search," - " scan and re-watch the clip on demand (Gemini Interactions API);" - " 'static' samples it at a fixed frame rate; 'auto' picks agentic on" - " Gemini 3.6+ Flash models and static everywhere else." - ), - ) - agentic_chunk_size_seconds: float = Field( - default=600.0, - ge=30.0, - le=1800.0, - description=( - "Maximum clip length handed to one agentic sub-agent. Static mode keeps" - " using chunk_size_seconds." - ), - ) - agentic_call_timeout_seconds: float = Field( - default=300.0, - ge=30.0, - le=1200.0, - description="Hard timeout for one agentic sub-agent response.", + description="Hard timeout for one Responses video-model response.", ) model_config = {"extra": "allow"} @@ -214,12 +191,12 @@ class CheckerConfig(BaseModel): description="Maximum concurrently running checkpoint attempts.", ) checkpoint_timeout: float = Field( - default=180.0, + default_factory=lambda: settings.ARTEMIS_CHECKPOINT_TIMEOUT_SECONDS, gt=0, description="Per-attempt timeout (seconds) for one checkpoint check.", ) settlement_timeout: float = Field( - default=120.0, + default_factory=lambda: settings.ARTEMIS_SETTLEMENT_TIMEOUT_SECONDS, gt=0, description="Aggregate timeout (seconds) for the exit settlement barrier.", ) @@ -343,8 +320,7 @@ class ExplorerConfig(BaseModel): caching: bool | None = Field( default=None, description=( - "Gemini explicit context caching for multi-turn Explorer tiers. ``None``" - " (default) uses the tier's own default: off for pro, on for ultra." + "Legacy compatibility field; Responses prompt caching is managed by the endpoint." ), ) model_config = {"extra": "allow"} @@ -391,7 +367,7 @@ class StepSummarizerConfig(BaseModel): description="Whether to asynchronously summarize historical steps to replace pruned images.", ) model: str = Field( - default="gemini-2.5-flash-lite", + default_factory=lambda: settings.OPENAI_MODEL, description="Lightweight model used for background step state summarization.", ) prune_history_xml: bool = Field( @@ -688,7 +664,7 @@ class MemoryChunkingConfig(BaseModel): ), ) model: str = Field( - default="gemini-3.8-flash", + default_factory=lambda: settings.OPENAI_MODEL, description="Model used for the chunk-level StepCapsuleLens (bands ①+②).", ) max_chunks: int = Field( @@ -1089,7 +1065,7 @@ def load_agent_config( try: with open(resolved_path, encoding="utf-8") as f: - data = load_jsonc(f) + data = interpolate_config_value(load_jsonc(f)) if isinstance(data, dict) and "agent" in data: return AgentGlobalConfig.model_validate(data["agent"]) return AgentGlobalConfig.model_validate(data) diff --git a/artemis/config/constants.py b/artemis/config/constants.py index 972bc6d..232c9bc 100644 --- a/artemis/config/constants.py +++ b/artemis/config/constants.py @@ -53,17 +53,11 @@ ENV_ARTEMIS_HIERARCHY_BACKEND = "ARTEMIS_HIERARCHY_BACKEND" ENV_ARTEMIS_HELPER_AUTO_INSTALL = "ARTEMIS_HELPER_AUTO_INSTALL" # LLM & Vision OCR API Keys -ENV_GOOGLE_API_KEY = "GOOGLE_API_KEY" -ENV_GEMINI_API_KEY = "GEMINI_API_KEY" -ENV_GCP_API_KEY = "GCP_API_KEY" ENV_OCR_API_KEY = "OCR_API_KEY" ENV_VISION_API_KEY = "VISION_API_KEY" ENV_API_KEY = "API_KEY" ENV_OPENAI_API_KEY = "OPENAI_API_KEY" ENV_OPENAI_BASE_URL = "OPENAI_BASE_URL" -ENV_ANTHROPIC_API_KEY = "ANTHROPIC_API_KEY" -ENV_OPEN_ROUTER_API_KEY = "OPEN_ROUTER_API_KEY" -ENV_XAI_API_KEY = "XAI_API_KEY" # Explorer & Agent Defaults ENV_ARTEMIS_EXPLORER_VERSION = "ARTEMIS_EXPLORER_VERSION" @@ -110,7 +104,7 @@ DEFAULT_ACTION_TIMEOUT = 30.0 DEFAULT_STREAM_PING_INTERVAL = 15.0 DEFAULT_PROFILE = "pro" -DEFAULT_MODEL = "gemini-2.5-flash" +DEFAULT_MODEL = "gpt-5-mini" DEFAULT_EXPLORER_VERSION: Literal["flash", "pro", "ultra"] = "flash" @@ -118,9 +112,7 @@ DEFAULT_EXPLORER_VERSION: Literal["flash", "pro", "ultra"] = "flash" # Literals and Type Aliases # ============================================================================== -LLMProvider = Literal[ - "openai", "google", "openrouter", "xai", "vertexai", "anthropic", "ollama", "vllm", "custom" -] +LLMProvider = Literal["openai"] ExplorerVersion = Literal["flash", "pro", "ultra"] LLMUtilsNode = Literal[ diff --git a/artemis/config/core/engine.py b/artemis/config/core/engine.py index 9af3502..0c250ed 100644 --- a/artemis/config/core/engine.py +++ b/artemis/config/core/engine.py @@ -74,7 +74,7 @@ class CascadingConfigEngine: # 3. Workspace .env ws_env = self.workspace_root / ".env" if ws_env.exists(): - load_dotenv(dotenv_path=ws_env, override=True, encoding="utf-8") + load_dotenv(dotenv_path=ws_env, override=False, encoding="utf-8") def load_raw_config( self, diff --git a/artemis/config/llm.py b/artemis/config/llm.py index 36915dd..958ebc3 100644 --- a/artemis/config/llm.py +++ b/artemis/config/llm.py @@ -15,12 +15,11 @@ """LLM provider, model hierarchy, fallback chaining, and configuration loaders.""" import os +from artemis.config.core.interpolator import interpolate_config_value from pathlib import Path from typing import Any, Literal -import google.auth -from google.auth.exceptions import DefaultCredentialsError -from pydantic import BaseModel, ValidationError +from pydantic import Field, BaseModel, ValidationError from artemis.config.constants import ( LLM_CONFIG_FILENAME, @@ -36,18 +35,6 @@ from artemis.utils.logger import get_logger logger = get_logger(__name__) -def validate_vertex_ai_credentials() -> None: - """Validate Google Application Default Credentials for VertexAI provider.""" - try: - _, project = google.auth.default() - if not project: - raise Exception("VertexAI requires a Google Cloud project to be set.") - except DefaultCredentialsError as e: - raise Exception( - f"VertexAI requires valid Google Application Default Credentials (ADC): {e}" - ) - - class _CyFunctionDetectorMeta(type): def __instancecheck__(self, instance): name = type(instance).__name__ @@ -72,13 +59,14 @@ class LLM(BaseModel): """Base model representing an LLM model provider and runtime parameters.""" model_config = {"ignored_types": (CyFunctionDetector,)} - provider: LLMProvider - model: str + provider: LLMProvider = "openai" + model: str = Field(default_factory=lambda: settings.OPENAI_MODEL) + api_base: str | None = None + timeout: float = Field(default_factory=lambda: settings.OPENAI_TIMEOUT_SECONDS, gt=0) + max_retries: int = Field(default_factory=lambda: settings.OPENAI_MAX_RETRIES, ge=0) + max_tokens: int | None = Field(default=None, gt=0) temperature: float | None = None - thinking_budget: int | None = None - thinking_level: Literal["minimal", "low", "medium", "high"] | None = None reasoning_effort: Literal["none", "low", "medium", "high"] | None = None - include_thoughts: bool | None = None enable_grounding: bool | None = None def validate_provider(self, name: str) -> None: @@ -86,20 +74,6 @@ class LLM(BaseModel): if self.provider == "openai": if not settings.OPENAI_API_KEY: raise Exception(f"{name} requires OPENAI_API_KEY in .env") - elif self.provider == "google": - if not settings.GOOGLE_API_KEY: - raise Exception(f"{name} requires GOOGLE_API_KEY in .env") - elif self.provider == "vertexai": - validate_vertex_ai_credentials() - elif self.provider == "anthropic": - if not (settings.ANTHROPIC_API_KEY or os.environ.get("ANTHROPIC_API_KEY")): - raise Exception(f"{name} requires ANTHROPIC_API_KEY in .env") - elif self.provider == "openrouter": - if not settings.OPEN_ROUTER_API_KEY: - raise Exception(f"{name} requires OPEN_ROUTER_API_KEY in .env") - elif self.provider == "xai": - if not settings.XAI_API_KEY: - raise Exception(f"{name} requires XAI_API_KEY in .env") def __str__(self) -> str: return f"{self.provider}/{self.model}" @@ -110,7 +84,6 @@ class LLMWithFallback(LLM): fallback: LLM fix_model: str | None = None - timeout: float | None = None def __str__(self) -> str: return f"{self.provider}/{self.model} (fallback: {self.fallback})" @@ -118,14 +91,14 @@ class LLMWithFallback(LLM): def lightweight_judge_default() -> "LLMWithFallback": """Factory default for the lightweight judge nodes (pixel safety net and - planner validation): a flash-lite model at temperature 0.""" + planner validation): the configured Responses model at temperature 0.""" return LLMWithFallback( - provider="google", - model="gemini-3.5-flash-lite", + provider="openai", + model=settings.OPENAI_MODEL, temperature=0.0, fallback=LLM( - provider="google", - model="gemini-3.1-flash-lite", + provider="openai", + model=settings.OPENAI_MODEL, temperature=0.0, ), ) @@ -236,11 +209,11 @@ def _expand_default_into_nodes(config_dict: dict) -> dict: default_model_cfg = config_dict.get( "default", { - "provider": "google", - "model": "gemini-3.8-flash", + "provider": "openai", + "model": settings.OPENAI_MODEL, "fallback": { - "provider": "google", - "model": "gemini-3.7-flash", + "provider": "openai", + "model": settings.OPENAI_MODEL, }, }, ) @@ -310,7 +283,7 @@ def parse_llm_config() -> LLMConfig: try: with open(config_path, encoding="utf-8") as f: - config_dict = load_jsonc(f) + config_dict = interpolate_config_value(load_jsonc(f)) expanded_dict = _expand_default_into_nodes(config_dict) return LLMConfig.model_validate(expanded_dict) except Exception as e: @@ -361,7 +334,7 @@ def load_llm_config_override(path: Path | str) -> LLMConfig: if resolved_path.exists(): logger.info(f"Loading custom LLM config from {resolved_path.resolve()}...") with open(resolved_path, encoding="utf-8") as f: - override_config_dict = load_jsonc(f) + override_config_dict = interpolate_config_value(load_jsonc(f)) else: logger.warning(f"Custom LLM config not found at {path} - using default config") diff --git a/artemis/config/settings.py b/artemis/config/settings.py index 7129dd8..93effb2 100644 --- a/artemis/config/settings.py +++ b/artemis/config/settings.py @@ -26,16 +26,10 @@ from artemis.config.constants import ( DEFAULT_ADB_PORT, DEFAULT_MODEL, DEFAULT_PROFILE, - ENV_ANTHROPIC_API_KEY, ENV_DATA_ENGINE_DB_PATH, - ENV_GCP_API_KEY, - ENV_GEMINI_API_KEY, - ENV_GOOGLE_API_KEY, ENV_OCR_API_KEY, - ENV_OPEN_ROUTER_API_KEY, ENV_OPENAI_API_KEY, ENV_VISION_API_KEY, - ENV_XAI_API_KEY, ) from artemis.config.paths import ( GLOBAL_APP_DIR, @@ -94,12 +88,6 @@ class Settings(BaseSettings): # LLM Provider Authentication OPENAI_API_KEY: SecretStr | None = None - GOOGLE_API_KEY: SecretStr | None = None - GEMINI_API_KEY: SecretStr | None = None - GCP_API_KEY: SecretStr | None = None - ANTHROPIC_API_KEY: SecretStr | None = None - XAI_API_KEY: SecretStr | None = None - OPEN_ROUTER_API_KEY: SecretStr | None = None # Google Cloud Vision OCR Authentication OCR_API_KEY: SecretStr | None = None @@ -108,6 +96,19 @@ class Settings(BaseSettings): # Custom Provider Endpoints OPENAI_BASE_URL: str | None = None + OPENAI_MODEL: str = Field(default="gpt-5-mini", min_length=1) + OPENAI_TIMEOUT_SECONDS: float = Field(default=120.0, gt=0) + OPENAI_MAX_RETRIES: int = Field(default=0, ge=0) + ARTEMIS_CREDENTIAL_TIMEOUT_SECONDS: float = Field(default=12.0, gt=0) + ARTEMIS_MODEL_CACHE_TTL_SECONDS: float = Field(default=10.0, ge=0) + ARTEMIS_VIDEO_TIMEOUT_SECONDS: float = Field(default=120.0, gt=0) + ARTEMIS_VIDEO_MAX_RETRIES: int = Field(default=1, ge=0) + ARTEMIS_VIDEO_CHUNK_SECONDS: float = Field(default=60.0, gt=0) + ARTEMIS_CHECKPOINT_TIMEOUT_SECONDS: float = Field(default=180.0, gt=0) + ARTEMIS_SETTLEMENT_TIMEOUT_SECONDS: float = Field(default=120.0, gt=0) + ARTEMIS_VIDEO_ENABLED: bool = True + ARTEMIS_OUTPUTTER_ENABLED: bool = True + ARTEMIS_STEP_SUMMARIZER_ENABLED: bool = True # Android ADB Connectivity ADB_HOST: str | None = Field(default=DEFAULT_ADB_HOST) @@ -125,16 +126,6 @@ class Settings(BaseSettings): ARTEMIS_DEFAULT_PROFILE: str = Field(default=DEFAULT_PROFILE) ARTEMIS_DEFAULT_MODEL: str = Field(default=DEFAULT_MODEL) - # Explorer Tool Settings (the tier itself is configured in artemis.jsonc or - # via ARTEMIS_EXPLORER_VERSION; see artemis.config.agent.ExplorerConfig) - EXPLORER_CACHING: bool | None = Field( - default=None, - description=( - "Environment-level override for Explorer context caching; unset" - " defers to the agent configuration and the tier default." - ), - ) - # LLM Reliability LLM_PAUSE_TIMEOUT_SECONDS: float = Field( default=900.0, @@ -154,16 +145,10 @@ class Settings(BaseSettings): @model_validator(mode="after") def fallback_api_keys(self) -> "Settings": - """Normalize Google / Gemini / GCP and OCR API keys and filter placeholders.""" + """Normalize OpenAI and OCR API keys and filter placeholders.""" # Sanitize any placeholder values loaded from environment or .env for attr in ( "OPENAI_API_KEY", - "GOOGLE_API_KEY", - "GEMINI_API_KEY", - "GCP_API_KEY", - "ANTHROPIC_API_KEY", - "XAI_API_KEY", - "OPEN_ROUTER_API_KEY", "OCR_API_KEY", "VISION_API_KEY", "API_KEY", @@ -172,12 +157,6 @@ class Settings(BaseSettings): if val and is_placeholder_key(val): setattr(self, attr, None) - if not self.GOOGLE_API_KEY: - if self.GEMINI_API_KEY: - self.GOOGLE_API_KEY = self.GEMINI_API_KEY - elif self.GCP_API_KEY: - self.GOOGLE_API_KEY = self.GCP_API_KEY - # Fallback for OCR & Vision API keys if not self.OCR_API_KEY and self.VISION_API_KEY: self.OCR_API_KEY = self.VISION_API_KEY @@ -187,27 +166,18 @@ class Settings(BaseSettings): """Get API key for a specified provider. Args: - provider: Provider name (e.g., 'google', 'gemini', 'openai', 'ocr', 'vision'). + provider: Provider name ('openai', 'ocr', or 'vision'). Returns: SecretStr containing the API key or None if not configured. """ - from artemis.llm.google.provider import is_google_family_provider provider_lower = provider.lower() key: SecretStr | None = None - if is_google_family_provider(provider_lower): - key = self.GOOGLE_API_KEY or self.GEMINI_API_KEY or self.GCP_API_KEY - elif provider_lower in ("ocr", "vision", "google_vision"): + if provider_lower in ("ocr", "vision", "google_vision"): key = self.OCR_API_KEY or self.VISION_API_KEY elif provider_lower == "openai": key = self.OPENAI_API_KEY - elif provider_lower in ("anthropic", "claude"): - key = self.ANTHROPIC_API_KEY - elif provider_lower == "openrouter": - key = self.OPEN_ROUTER_API_KEY - elif provider_lower in ("xai", "grok"): - key = self.XAI_API_KEY if key and not is_placeholder_key(key): return key @@ -222,35 +192,14 @@ class Settings(BaseSettings): persist_to_env: Whether to save the key to the app directory's .env file. """ secret = SecretStr(key) - from artemis.llm.google.provider import is_google_family_provider provider_lower = provider.lower() env_key_name = None - if is_google_family_provider(provider_lower): - self.GOOGLE_API_KEY = secret - self.GEMINI_API_KEY = secret - self.GCP_API_KEY = secret - env_key_name = ENV_GEMINI_API_KEY - os.environ[ENV_GOOGLE_API_KEY] = key - os.environ[ENV_GEMINI_API_KEY] = key - os.environ[ENV_GCP_API_KEY] = key - elif provider_lower == "openai": + if provider_lower == "openai": self.OPENAI_API_KEY = secret env_key_name = ENV_OPENAI_API_KEY os.environ[ENV_OPENAI_API_KEY] = key - elif provider_lower in ("anthropic", "claude"): - self.ANTHROPIC_API_KEY = secret - env_key_name = ENV_ANTHROPIC_API_KEY - os.environ[ENV_ANTHROPIC_API_KEY] = key - elif provider_lower == "openrouter": - self.OPEN_ROUTER_API_KEY = secret - env_key_name = ENV_OPEN_ROUTER_API_KEY - os.environ[ENV_OPEN_ROUTER_API_KEY] = key - elif provider_lower == "xai": - self.XAI_API_KEY = secret - env_key_name = ENV_XAI_API_KEY - os.environ[ENV_XAI_API_KEY] = key elif provider_lower in ("ocr", "vision", "google_vision"): self.OCR_API_KEY = secret self.VISION_API_KEY = secret @@ -258,6 +207,9 @@ class Settings(BaseSettings): os.environ[ENV_OCR_API_KEY] = key os.environ[ENV_VISION_API_KEY] = key + else: + raise ValueError(f"Unsupported credential provider: {provider}") + if persist_to_env and env_key_name: target_env_files = [get_env_file()] seen_paths = set() @@ -275,9 +227,7 @@ class Settings(BaseSettings): # Determine keys to update keys_to_update = [env_key_name] - if is_google_family_provider(provider_lower): - keys_to_update = [ENV_GEMINI_API_KEY, ENV_GOOGLE_API_KEY, ENV_GCP_API_KEY] - elif provider_lower in ("ocr", "vision", "google_vision"): + if provider_lower in ("ocr", "vision", "google_vision"): keys_to_update = [ENV_OCR_API_KEY, ENV_VISION_API_KEY] new_lines = [] diff --git a/artemis/constants.py b/artemis/constants.py index dd60d48..e52a768 100644 --- a/artemis/constants.py +++ b/artemis/constants.py @@ -20,28 +20,3 @@ VALIDATOR_POLL_TIMEOUT = 2.0 VALIDATOR_POLL_INTERVAL = 0.2 VALIDATOR_OCR_INTERVAL = 1.0 VALIDATOR_UI_HIERARCHY_TIMEOUT = 1.0 - -from google.genai import types as _genai_types - -SAFETY_SETTINGS_BLOCK_NONE = [ - _genai_types.SafetySetting( - category=_genai_types.HarmCategory.HARM_CATEGORY_HATE_SPEECH, - threshold=_genai_types.HarmBlockThreshold.BLOCK_NONE, - ), - _genai_types.SafetySetting( - category=_genai_types.HarmCategory.HARM_CATEGORY_HARASSMENT, - threshold=_genai_types.HarmBlockThreshold.BLOCK_NONE, - ), - _genai_types.SafetySetting( - category=_genai_types.HarmCategory.HARM_CATEGORY_SEXUALLY_EXPLICIT, - threshold=_genai_types.HarmBlockThreshold.BLOCK_NONE, - ), - _genai_types.SafetySetting( - category=_genai_types.HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT, - threshold=_genai_types.HarmBlockThreshold.BLOCK_NONE, - ), - _genai_types.SafetySetting( - category=_genai_types.HarmCategory.HARM_CATEGORY_CIVIC_INTEGRITY, - threshold=_genai_types.HarmBlockThreshold.BLOCK_NONE, - ), -] diff --git a/artemis/core/diagnostics/probes/credentials_probe.py b/artemis/core/diagnostics/probes/credentials_probe.py index 683e216..ab106d5 100644 --- a/artemis/core/diagnostics/probes/credentials_probe.py +++ b/artemis/core/diagnostics/probes/credentials_probe.py @@ -26,11 +26,11 @@ from artemis.core.diagnostics.schema import ( class LLMCredentialsProbe(BaseProbe): - """Probe verifying Gemini and multi-provider multimodal LLM credentials.""" + """Readiness depends on an OpenAI credential, never merely a base URL.""" @property def probe_id(self) -> str: - return "gemini_api_key" + return "openai_api_key" @property def category(self) -> ProbeCategory: @@ -40,192 +40,38 @@ class LLMCredentialsProbe(BaseProbe): def is_blocker(self) -> bool: return True - def _mask_key(self, key_str: str) -> str: - """Helper to safely mask an API credential for display.""" - if len(key_str) > 10: - return f"{key_str[:6]}...{key_str[-4:]}" - return "***" - async def probe(self) -> ProbeResult: - import os - - from artemis.config.settings import is_placeholder_key - - gemini_key = settings.get_api_key("google") - openai_key = settings.get_api_key("openai") - claude_key = settings.get_api_key("anthropic") - openrouter_key = settings.get_api_key("openrouter") - xai_key = settings.get_api_key("xai") - ocr_key = settings.get_api_key("ocr") - - configured_providers: list[dict[str, Any]] = [] - api_keys_map: dict[str, str] = {} - if gemini_key and not is_placeholder_key(gemini_key): - g_val = gemini_key.get_secret_value() - configured_providers.append( - { - "provider": "google", - "label": "Gemini", - "masked": self._mask_key(g_val), - "raw_key": g_val, - "key": g_val, - } - ) - api_keys_map["google"] = g_val - api_keys_map["gemini"] = g_val - if openai_key and not is_placeholder_key(openai_key): - o_val = openai_key.get_secret_value() - configured_providers.append( + key = settings.get_api_key("openai") + configured = bool(key) + providers = ( + [ { "provider": "openai", - "label": "ChatGPT", - "masked": self._mask_key(o_val), - "raw_key": o_val, - "key": o_val, + "label": "OpenAI Responses", + "masked": "****" + key.get_secret_value()[-4:], } - ) - api_keys_map["openai"] = o_val - if claude_key and not is_placeholder_key(claude_key): - c_val = claude_key.get_secret_value() - configured_providers.append( - { - "provider": "anthropic", - "label": "Claude", - "masked": self._mask_key(c_val), - "raw_key": c_val, - "key": c_val, - } - ) - api_keys_map["anthropic"] = c_val - if openrouter_key and not is_placeholder_key(openrouter_key): - or_val = openrouter_key.get_secret_value() - configured_providers.append( - { - "provider": "openrouter", - "label": "OpenRouter", - "masked": self._mask_key(or_val), - "raw_key": or_val, - "key": or_val, - } - ) - api_keys_map["openrouter"] = or_val - if xai_key and not is_placeholder_key(xai_key): - x_val = xai_key.get_secret_value() - configured_providers.append( - { - "provider": "xai", - "label": "xAI (Grok)", - "masked": self._mask_key(x_val), - "raw_key": x_val, - "key": x_val, - } - ) - api_keys_map["xai"] = x_val - - # Detect any custom model endpoints or environment variables defined in files - for env_var, label, prov_id in [ - ("DEEPSEEK_API_KEY", "DeepSeek", "deepseek"), - ("GROQ_API_KEY", "Groq", "groq"), - ("OPENAI_BASE_URL", "Custom OpenAI Endpoint", "custom"), - ("OLLAMA_BASE_URL", "Local Ollama", "ollama"), - ("VLLM_BASE_URL", "vLLM Endpoint", "vllm"), - ("VERTEX_AI_PROJECT", "Google Cloud Vertex AI", "vertexai"), - ]: - val = os.environ.get(env_var) - if val and val.strip() and not is_placeholder_key(val.strip()): - configured_providers.append( - { - "provider": prov_id, - "label": label, - "masked": self._mask_key(val.strip()), - "raw_key": val.strip(), - "key": val.strip(), - } - ) - api_keys_map[prov_id] = val.strip() - - if ocr_key and not is_placeholder_key(ocr_key): - api_keys_map["ocr"] = ocr_key.get_secret_value() - - current_active_key = ( - gemini_key.get_secret_value() - if gemini_key - else (configured_providers[0]["key"] if configured_providers else "") + ] + if key + else [] ) - - metadata = { - "configured_count": len(configured_providers), - "providers": configured_providers, - "has_ocr_key": ocr_key is not None, - "current_key": current_active_key, - "current_gemini_key": gemini_key.get_secret_value() if gemini_key else "", - "api_keys": api_keys_map, - } - - # Case 1: Gemini API Key configured (Standard / Recommended) - if gemini_key: - masked = self._mask_key(gemini_key.get_secret_value()) - return ProbeResult( - id=self.probe_id, - category=self.category, - title="Multimodal LLM API Key", - status=ProbeStatus.PASS, - is_blocker=self.is_blocker, - summary="Active (Gemini)", - description=f"Gemini multimodal API credential is active ({masked}) and ready for vision and reasoning.", - metadata=metadata, - actions=[ - ProbeAction( - action_type="hint", - label="Provider Active", - payload="Gemini 2.5 Flash / Pro Multimodal Engine is enabled.", - ) - ], - ) - - # Case 2: Other LLM provider configured - if configured_providers: - first_p = configured_providers[0] - return ProbeResult( - id=self.probe_id, - category=self.category, - title="Multimodal LLM API Key", - status=ProbeStatus.PASS, - is_blocker=self.is_blocker, - summary=f"Active ({first_p['label']})", - description=f"{first_p['label']} multimodal API credential is active ({first_p['masked']}).", - metadata=metadata, - actions=[ - ProbeAction( - action_type="hint", - label="Provider Active", - payload=f"{first_p['label']} multimodal vision endpoint is active.", - ) - ], - ) - - # Case 3: No LLM key configured return ProbeResult( id=self.probe_id, category=self.category, - title="Multimodal LLM API Key", - status=ProbeStatus.FAIL, - is_blocker=self.is_blocker, - summary="Key Missing", - description="No Multimodal LLM credential (e.g. GEMINI_API_KEY, OPENAI_API_KEY, ANTHROPIC_API_KEY) found in environment or .env file.", - metadata=metadata, - actions=[ - ProbeAction( - action_type="command", - label="Run Artemis Init", - payload="artemis init", - ), - ProbeAction( - action_type="link", - label="Get Google AI Studio Key", - payload="https://aistudio.google.com/app/apikey", - ), - ], + title="OpenAI API 密钥", + status=ProbeStatus.PASS if configured else ProbeStatus.FAIL, + is_blocker=True, + summary="已配置 OpenAI Responses" if configured else "缺少 API 密钥", + description="模型统一通过 OpenAI Responses 接口调用。" + if configured + else "请在环境变量或 .env 中设置 OPENAI_API_KEY。", + metadata={ + "configured_count": len(providers), + "providers": providers, + "has_ocr_key": bool(settings.get_api_key("ocr")), + }, + actions=[] + if configured + else [ProbeAction(action_type="command", label="初始化配置", payload="artemis init")], ) @@ -267,7 +113,7 @@ class VisionOCRProbe(BaseProbe): is_blocker=False, summary="Active & Configured", description=f"Google Cloud Vision OCR ({masked}) is active for image text recognition.", - metadata={"configured": True, "masked_key": masked, "key": val, "raw_key": val}, + metadata={"configured": True, "masked_key": masked}, actions=[ ProbeAction( action_type="hint", diff --git a/artemis/core/diagnostics/probes/runtime_probe.py b/artemis/core/diagnostics/probes/runtime_probe.py index 2ac6a37..c7e69a6 100644 --- a/artemis/core/diagnostics/probes/runtime_probe.py +++ b/artemis/core/diagnostics/probes/runtime_probe.py @@ -17,7 +17,7 @@ import platform import sys -from artemis.config import parse_llm_config +from artemis.config import parse_llm_config, settings from artemis.core.diagnostics.probes.base import BaseProbe from artemis.core.diagnostics.schema import ( ProbeAction, @@ -67,7 +67,7 @@ class PythonRuntimeProbe(BaseProbe): title="Python Runtime Environment", status=ProbeStatus.PASS, is_blocker=self.is_blocker, - summary=f"Python {py_ver_str} Ready", + summary=f"Python {py_ver_str} 已就绪", description=f"Python {py_ver_str} ({arch}, 64-bit) detected at {executable}. Satisfies requirement (>= 3.12).", metadata=metadata, actions=[ @@ -121,7 +121,7 @@ class SystemConfigProbe(BaseProbe): async def probe(self) -> ProbeResult: try: cfg = parse_llm_config() - planner_model = getattr(getattr(cfg, "planner", None), "model", "Gemini 2.5 Flash") + planner_model = getattr(getattr(cfg, "planner", None), "model", settings.OPENAI_MODEL) metadata = { "valid": True, "config_file": "config/artemis.jsonc", @@ -133,7 +133,7 @@ class SystemConfigProbe(BaseProbe): title="Artemis System Configuration", status=ProbeStatus.PASS, is_blocker=self.is_blocker, - summary="Config Valid", + summary="配置有效", description=f"System configuration loaded and validated (Planner model: {planner_model}).", metadata=metadata, actions=[ diff --git a/artemis/core/diagnostics/probes/toolchain_probe.py b/artemis/core/diagnostics/probes/toolchain_probe.py index 7b9d54d..a4fef5b 100644 --- a/artemis/core/diagnostics/probes/toolchain_probe.py +++ b/artemis/core/diagnostics/probes/toolchain_probe.py @@ -72,7 +72,7 @@ class ToolchainProbe(BaseProbe): title="Video Recording Toolchain", status=ProbeStatus.PASS, is_blocker=self.is_blocker, - summary="Ready (FFmpeg + scrcpy)", + summary="录屏工具已就绪（FFmpeg + scrcpy）", description=f"FFmpeg ({ffmpeg_path}) and scrcpy ({scrcpy_path}) are available. Live stream and high-speed video replays are active.", metadata=metadata, actions=[ @@ -132,7 +132,7 @@ class ToolchainProbe(BaseProbe): title="Video Recording Toolchain", status=ProbeStatus.FAIL, is_blocker=self.is_blocker, - summary=f"Missing {missing_str}", + summary=f"缺少 {missing_str}", description=f"Video toolchain is required for screen streaming and test replay recording. Missing: {missing_str}.", metadata=metadata, actions=actions, diff --git a/artemis/core/diagnostics/readiness.py b/artemis/core/diagnostics/readiness.py index 8f8f085..30572cf 100644 --- a/artemis/core/diagnostics/readiness.py +++ b/artemis/core/diagnostics/readiness.py @@ -39,7 +39,7 @@ CHECK_ORDER: dict[str, int] = { "python_runtime": 0, "system_config": 1, "integration_host": 2, - "gemini_api_key": 3, + "openai_api_key": 3, "android_adb": 4, "toolchain": 5, "vision_ocr_key": 6, diff --git a/artemis/core/diagnostics/schema.py b/artemis/core/diagnostics/schema.py index 49a0b07..85f4e42 100644 --- a/artemis/core/diagnostics/schema.py +++ b/artemis/core/diagnostics/schema.py @@ -78,7 +78,7 @@ class ProbeResult(BaseModel): """Outcome of a single readiness probe check.""" id: str = Field( - description="Unique identifier for the probe (e.g. 'android_adb', 'gemini_api_key')" + description="Unique identifier for the probe (e.g. 'android_adb', 'openai_api_key')" ) category: ProbeCategory = Field(description="Category of the probe") title: str = Field(description="Human-readable title (e.g. 'Device / Emulator Connected')") diff --git a/artemis/interfaces/cli/commands/init.py b/artemis/interfaces/cli/commands/init.py index 9e7e7b0..3c2dca6 100644 --- a/artemis/interfaces/cli/commands/init.py +++ b/artemis/interfaces/cli/commands/init.py @@ -36,21 +36,7 @@ def init_command() -> None: ) ) - # 1. Select Provider - console.print("\n[bold]Step 1: Choose Primary LLM Provider[/bold]") - console.print(" [1] Google Gemini (Recommended - Default)") - console.print(" [2] OpenAI (GPT-4o)") - console.print(" [3] Anthropic (Claude 3.5 Sonnet)") - console.print(" [4] OpenRouter") - - choice = Prompt.ask("Select provider", choices=["1", "2", "3", "4"], default="1") - provider_map = { - "1": ("GEMINI_API_KEY", "Google Gemini"), - "2": ("OPENAI_API_KEY", "OpenAI"), - "3": ("ANTHROPIC_API_KEY", "Anthropic"), - "4": ("OPEN_ROUTER_API_KEY", "OpenRouter"), - } - env_key, provider_name = provider_map[choice] + env_key, provider_name = "OPENAI_API_KEY", "OpenAI Responses" # 2. Enter API Key console.print(f"\n[bold]Step 2: Enter your {provider_name} API Key[/bold]") @@ -126,7 +112,7 @@ def init_command() -> None: "", "# Execution Defaults", "ARTEMIS_DEFAULT_PROFILE=pro", - "ARTEMIS_DEFAULT_MODEL=gemini-2.5-flash", + "OPENAI_MODEL=gpt-5-mini", "ARTEMIS_TRACES_DIR=./traces", "", ] diff --git a/artemis/interfaces/cli/commands/run.py b/artemis/interfaces/cli/commands/run.py index 91a5d04..6048d1d 100644 --- a/artemis/interfaces/cli/commands/run.py +++ b/artemis/interfaces/cli/commands/run.py @@ -503,7 +503,7 @@ def run_command( Panel( f"[bold red]✖ Authentication Error:[/bold red] {err_msg}\n\n" "💡 [bold cyan]Quick Fix:[/bold cyan] Run [bold green]artemis init[/bold green] to configure your API key in 10 seconds,\n" - "or add [bold]GEMINI_API_KEY=your_key[/bold] to [dim].env[/dim].", + "or add [bold]OPENAI_API_KEY=your_key[/bold] to [dim].env[/dim].", title="Missing API Key", expand=False, ) diff --git a/artemis/llm/google/__init__.py b/artemis/llm/google/__init__.py deleted file mode 100644 index 282719d..0000000 --- a/artemis/llm/google/__init__.py +++ /dev/null @@ -1,57 +0,0 @@ -# Copyright 2026 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -"""Google / Gemini specific knowledge shared by every call site. - -Two concerns live here so they are defined exactly once: - -* :mod:`artemis.llm.google.provider` - "is this endpoint Google?" and the - Gemini model capability table (thinking levels, agentic video). -* :mod:`artemis.llm.google.usage` - token-usage normalization across the - LangChain, ``generate_content`` and Interactions API response shapes. - -Both modules are dependency-free (no settings, no SDK client) so they can be -imported from configuration code without creating import cycles. -""" - -from artemis.llm.google.provider import ( - VideoProcessing, - gemini_version, - is_agentic_video_auto_eligible, - is_gemini_model, - is_google_chat_model, - is_google_family_provider, - is_google_provider, - resolve_video_processing, - strip_provider_prefix, - supports_agentic_video, - supports_thinking_level, -) -from artemis.llm.google.usage import normalize_usage, usage_from_message - -__all__ = [ - "VideoProcessing", - "gemini_version", - "is_agentic_video_auto_eligible", - "is_gemini_model", - "is_google_chat_model", - "is_google_family_provider", - "is_google_provider", - "normalize_usage", - "resolve_video_processing", - "strip_provider_prefix", - "supports_agentic_video", - "supports_thinking_level", - "usage_from_message", -] diff --git a/artemis/llm/google/provider.py b/artemis/llm/google/provider.py deleted file mode 100644 index c9f4379..0000000 --- a/artemis/llm/google/provider.py +++ /dev/null @@ -1,185 +0,0 @@ -# Copyright 2026 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -"""Google provider identity and the Gemini model capability table. - -Provider identity has two tiers: - -* :func:`is_google_provider` - the Gemini Developer API (``google`` / - ``gemini``). Native ``google-genai`` features (Files API, explicit caching, - the Interactions API) are only reachable here. -* :func:`is_google_family_provider` - additionally Vertex AI, which shares - Google credentials but not the developer-API-only features. - -Model IDs use ``gemini-.-[]``. Release suffixes -(``preview``, ``latest``, ``exp``, and numeric tokens) retain base-family -capabilities. Variants such as ``image`` and ``tts`` are excluded from agentic -video support, but their version still determines thinking-level support. -""" - -from __future__ import annotations - -import re -from typing import Any, Literal, NamedTuple - -VideoProcessing = Literal["auto", "agentic", "static"] -ResolvedVideoProcessing = Literal["agentic", "static"] - -_GOOGLE_API_PROVIDERS = frozenset({"google", "gemini"}) -_GOOGLE_FAMILY_PROVIDERS = _GOOGLE_API_PROVIDERS | frozenset({"vertexai", "vertex"}) - -_GEMINI_MODEL_RE = re.compile(r"gemini-(\d+)\.(\d+)-(flash-lite|flash|pro)", re.IGNORECASE) -_RELEASE_SUFFIX_TOKENS = frozenset({"preview", "latest", "exp"}) - - -class _GeminiModel(NamedTuple): - version: tuple[int, int] - tier: str - #: False for variant ids (``-image``, ``-tts``, ...) that carry their own - #: capabilities and must not inherit the family's answers. - is_base: bool - - -# Agentic video understanding (Interactions API, ``processing: "agentic"``) -# launched on Gemini 3.6/3.7/3.8 Flash and 3.5 Flash-Lite. Later releases in -# the same families are assumed to keep it. -_AGENTIC_VIDEO_MIN_FLASH = (3, 6) -_AGENTIC_VIDEO_MIN_FLASH_LITE = (3, 5) - - -def _normalize_provider(value: Any) -> str: - if value is None: - return "" - value = getattr(value, "value", value) - return str(value).lower().replace("_", "").replace("-", "").strip() - - -def is_google_provider(value: Any) -> bool: - """True for the Gemini Developer API (``google`` / ``gemini``). - - Accepts a provider name, a provider enum, or anything exposing ``.value``. - """ - return _normalize_provider(value) in _GOOGLE_API_PROVIDERS - - -def is_google_family_provider(value: Any) -> bool: - """True for every provider that authenticates with Google credentials.""" - return _normalize_provider(value) in _GOOGLE_FAMILY_PROVIDERS - - -def is_google_chat_model(model: Any) -> bool: - """True when a LangChain chat model is backed by Google (by class name). - - Only used when no endpoint metadata is available; the class-name sniff is - the historical fallback and is kept in one place here. - """ - cls = getattr(model, "__class__", None) - name = cls.__name__ if cls else "" - return "Google" in name or "Gemini" in name or "VertexAI" in name - - -def strip_provider_prefix(model_name: Any) -> str: - """Drops a ``provider/`` prefix (``google/gemini-3.8-flash`` -> ``gemini-3.8-flash``).""" - name = str(model_name or "") - return name.rsplit("/", 1)[-1] if "/" in name else name - - -def is_gemini_model(model_name: Any) -> bool: - """True when the model name refers to any Gemini model.""" - return "gemini" in strip_provider_prefix(model_name).lower() - - -def _is_release_suffix(rest: str) -> bool: - """Whether what follows the tier is a release suffix (see the module docstring).""" - if not rest: - return True - if not rest.startswith("-"): - return False - return all(token in _RELEASE_SUFFIX_TOKENS or token.isdigit() for token in rest[1:].split("-")) - - -def _parse_gemini_model(model_name: Any) -> _GeminiModel | None: - name = strip_provider_prefix(model_name).lower() - match = _GEMINI_MODEL_RE.search(name) - if not match: - return None - return _GeminiModel( - version=(int(match.group(1)), int(match.group(2))), - tier=match.group(3), - is_base=_is_release_suffix(name[match.end() :]), - ) - - -def gemini_version(model_name: Any) -> tuple[int, int] | None: - """``(major, minor)`` parsed from a ``gemini-X.Y-*`` name, else ``None``.""" - parsed = _parse_gemini_model(model_name) - return parsed.version if parsed else None - - -def _gemini_tier(model_name: Any) -> str | None: - """The tier of a *base* model id; ``None`` for variants and non-Gemini names.""" - parsed = _parse_gemini_model(model_name) - return parsed.tier if parsed and parsed.is_base else None - - -def supports_thinking_level(model_name: Any) -> bool: - """Whether the model accepts ``thinking_level`` (Gemini 3 and later). - - Gemini 1.x/2.x only understand ``thinking_budget``. Names that do not - carry a parsable version (e.g. the robotics ER models) are assumed to be - current and therefore accept it. - """ - version = gemini_version(model_name) - return version is None or version[0] >= 3 - - -def supports_agentic_video(model_name: Any) -> bool: - """Whether the Gemini API accepts ``processing: "agentic"`` for this model. - - Only base Flash / Flash-Lite ids qualify; variants (``-image``, ``-tts``, - ``-live``, ...) do not inherit the family's support. - """ - parsed = _parse_gemini_model(model_name) - if parsed is None or not parsed.is_base: - return False - if parsed.tier == "flash": - return parsed.version >= _AGENTIC_VIDEO_MIN_FLASH - if parsed.tier == "flash-lite": - return parsed.version >= _AGENTIC_VIDEO_MIN_FLASH_LITE - return False - - -def is_agentic_video_auto_eligible(model_name: Any) -> bool: - """Models that get agentic video processing under ``processing: "auto"``. - - Flash-Lite is deliberately excluded: it accepts the mode but mis-reads - timestamps in practice, so it must be opted into explicitly. - """ - return supports_agentic_video(model_name) and _gemini_tier(model_name) == "flash" - - -def resolve_video_processing(configured: Any, model_name: Any) -> ResolvedVideoProcessing: - """Turns the configured video-processing knob into a concrete mode. - - ``static`` is always honoured. ``agentic`` is honoured only for models - that support it and silently degrades otherwise. ``auto`` (and any - unrecognised value) enables agentic processing for the auto-eligible - models and keeps static processing for everything else. - """ - mode = str(configured or "auto").strip().lower() if isinstance(configured, str) else "auto" - if mode == "static": - return "static" - if mode == "agentic": - return "agentic" if supports_agentic_video(model_name) else "static" - return "agentic" if is_agentic_video_auto_eligible(model_name) else "static" diff --git a/artemis/llm/router.py b/artemis/llm/router.py index 8b44743..42e9397 100644 --- a/artemis/llm/router.py +++ b/artemis/llm/router.py @@ -12,12 +12,7 @@ # See the License for the specific language governing permissions and # limitations under the License. -"""Dynamic Multi-Provider Model Router for ARTEMIS. - -Provides role-based LLM/VLM dispatching, dynamic fallback chains, -and unified provider configuration across Gemini, Vertex AI, OpenAI, -Anthropic, OpenRouter, and local Ollama/vLLM endpoints. -""" +"""Single transport for all Artemis models: OpenAI Responses API.""" from enum import StrEnum import hashlib @@ -28,94 +23,34 @@ from langchain_core.language_models.chat_models import BaseChatModel from pydantic import BaseModel, Field from artemis.config.settings import settings -from artemis.llm.google.provider import supports_thinking_level -from artemis.utils.logger import get_logger - -logger = get_logger(__name__) class ModelProvider(StrEnum): - GOOGLE = "google" - GEMINI = "google" - VERTEX_AI = "vertexai" OPENAI = "openai" - ANTHROPIC = "anthropic" - OPENROUTER = "openrouter" - XAI = "xai" - OLLAMA = "ollama" - VLLM = "vllm" - CUSTOM = "custom" @classmethod def from_string(cls, val: Any) -> "ModelProvider": - """Converts a string or enum into a canonical ModelProvider. - - ``None``/empty means "use the default" (Google); an unrecognized - non-empty value raises instead of silently routing to Gemini with - the wrong credentials. - """ - if isinstance(val, cls): - return val - if val is None: - return cls.GOOGLE - s = str(val).lower().replace("_", "").replace("-", "").strip() - if not s: - return cls.GOOGLE - mapping = { - "google": cls.GOOGLE, - "gemini": cls.GOOGLE, - "vertexai": cls.VERTEX_AI, - "vertex": cls.VERTEX_AI, - "openai": cls.OPENAI, - "anthropic": cls.ANTHROPIC, - "claude": cls.ANTHROPIC, - "openrouter": cls.OPENROUTER, - "xai": cls.XAI, - "grok": cls.XAI, - "ollama": cls.OLLAMA, - "vllm": cls.VLLM, - "custom": cls.CUSTOM, - } - provider = mapping.get(s) - if provider is None: - raise ValueError( - f"Unknown LLM provider {val!r}. Valid providers: {sorted(set(mapping))}" - ) - return provider + if val is None or str(val).strip().lower() in ("", "openai"): + return cls.OPENAI + raise ValueError(f"Unsupported LLM provider {val!r}; only OpenAI Responses is supported") class ModelEndpoint(BaseModel): - """Configuration definition for an LLM/VLM model endpoint.""" - - provider: ModelProvider = Field(default=ModelProvider.GOOGLE, description="Model provider") - model_name: str = Field(default="gemini-2.5-flash", description="Model name identifier") - api_key: str | None = Field(default=None, description="API Key or secret") - api_base: str | None = Field(default=None, description="Custom API endpoint base URL") - temperature: float = Field(default=0.0, description="Sampling temperature") - max_tokens: int | None = Field(default=None, description="Maximum completion tokens") - timeout_seconds: float = Field(default=60.0, description="Request timeout in seconds") - is_multimodal: bool = Field( - default=True, description="Whether endpoint accepts image/video inputs" - ) - reasoning_effort: str | None = Field( - default=None, description="Reasoning effort: 'low', 'medium', 'high'" - ) - thinking_budget: int | None = Field(default=None, description="Thinking budget token count") - thinking_level: str | None = Field( - default=None, description="Thinking level: 'minimal', 'low', 'medium', 'high'" - ) - include_thoughts: bool | None = Field( - default=None, description="Whether to include thought traces in response" - ) - enable_grounding: bool = Field( - default=False, - description="Whether to enable Google Search grounding for Gemini endpoints", - ) + provider: ModelProvider = ModelProvider.OPENAI + model_name: str = Field(default_factory=lambda: settings.OPENAI_MODEL) + api_key: str | None = Field(default=None, repr=False) + api_base: str | None = None + temperature: float | None = None + max_tokens: int | None = Field(default=None, gt=0) + timeout_seconds: float = Field(default_factory=lambda: settings.OPENAI_TIMEOUT_SECONDS, gt=0) + max_retries: int = Field(default_factory=lambda: settings.OPENAI_MAX_RETRIES, ge=0) + is_multimodal: bool = True + reasoning_effort: str | None = None + enable_grounding: bool = False def cache_key(self) -> tuple: - """Key the client cache by endpoint settings, hashing the API key.""" - api_key_digest = ( - hashlib.sha256(self.api_key.encode("utf-8")).hexdigest()[:16] if self.api_key else None + key = self.api_key or ( + settings.OPENAI_API_KEY.get_secret_value() if settings.OPENAI_API_KEY else "" ) return ( self.provider.value, @@ -123,81 +58,15 @@ class ModelEndpoint(BaseModel): self.temperature, self.max_tokens, self.timeout_seconds, - self.thinking_budget, - self.thinking_level, - self.include_thoughts, + self.max_retries, self.reasoning_effort, self.enable_grounding, - self.api_base, - api_key_digest, + self.api_base or settings.OPENAI_BASE_URL, + hashlib.sha256(key.encode()).hexdigest(), ) -def _patch_langchain_google_genai(): - """Patches ChatGoogleGenerativeAI._process_tool_config to preserve and ensure include_server_side_tool_invocations.""" - try: - from langchain_google_genai.chat_models import ChatGoogleGenerativeAI - from google.genai.types import ToolConfig - - if getattr(ChatGoogleGenerativeAI, "_is_artemis_patched", False): - return - - original_process = ChatGoogleGenerativeAI._process_tool_config - - def patched_process_tool_config(self, tool_choice, tool_config, formatted_tools): - config = original_process(self, tool_choice, tool_config, formatted_tools) - - has_builtin = False - has_functions = False - if formatted_tools: - for tool in formatted_tools: - tool_dict = tool if isinstance(tool, dict) else getattr(tool, "__dict__", {}) - if any( - tool_dict.get(k) is not None - for k in ( - "google_search", - "code_execution", - "google_maps", - "google_search_retrieval", - ) - ): - has_builtin = True - if tool_dict.get("function_declarations"): - has_functions = True - - if tool_config: - normalized = ( - ToolConfig.model_validate(tool_config) - if isinstance(tool_config, dict) - else tool_config - ) - if getattr(normalized, "include_server_side_tool_invocations", None) is not None: - if config is None: - config = ToolConfig( - include_server_side_tool_invocations=normalized.include_server_side_tool_invocations - ) - else: - config.include_server_side_tool_invocations = ( - normalized.include_server_side_tool_invocations - ) - - if has_builtin and has_functions: - if config is None: - config = ToolConfig(include_server_side_tool_invocations=True) - else: - config.include_server_side_tool_invocations = True - - return config - - ChatGoogleGenerativeAI._process_tool_config = patched_process_tool_config - ChatGoogleGenerativeAI._is_artemis_patched = True - except Exception as e: - logger.warning(f"Could not patch ChatGoogleGenerativeAI._process_tool_config: {e}") - - class ModelFactory: - """Unified factory for instantiating and caching LangChain chat models across providers.""" - _cache: dict[tuple, BaseChatModel] = {} @classmethod @@ -209,181 +78,32 @@ class ModelFactory: @classmethod def create_model(cls, endpoint: ModelEndpoint) -> BaseChatModel: + ModelProvider.from_string(endpoint.provider) if os.environ.get("ARTEMIS_FAKE_LLM") == "1": from artemis.llm.fake_model import FakeChatModel - delay = float(os.environ.get("ARTEMIS_FAKE_LLM_DELAY_S", "0") or 0) - logger.warning( - f"ARTEMIS_FAKE_LLM=1 — returning FakeChatModel (delay={delay}s) " - f"instead of {endpoint.provider}/{endpoint.model_name}" - ) - return FakeChatModel(delay_s=delay) - - provider = ModelProvider.from_string(endpoint.provider) - - if provider == ModelProvider.GOOGLE: - _patch_langchain_google_genai() - from langchain_google_genai import ( - ChatGoogleGenerativeAI, - HarmBlockThreshold, - HarmCategory, + return FakeChatModel( + delay_s=float(os.environ.get("ARTEMIS_FAKE_LLM_DELAY_S", "0") or 0) ) - api_key = ( - endpoint.api_key - or (settings.GOOGLE_API_KEY.get_secret_value() if settings.GOOGLE_API_KEY else None) - or os.environ.get("GOOGLE_API_KEY") - or os.environ.get("GEMINI_API_KEY") - ) - # Gemini 1.x/2.x only understand thinking_budget. - thinking_level = ( - endpoint.thinking_level if supports_thinking_level(endpoint.model_name) else None - ) + from langchain_openai import ChatOpenAI - kwargs: dict[str, Any] = { - "model": endpoint.model_name, - "temperature": endpoint.temperature, - "max_output_tokens": endpoint.max_tokens, - "api_key": api_key, - "timeout": endpoint.timeout_seconds, - "thinking_budget": endpoint.thinking_budget, - "thinking_level": thinking_level, - "include_thoughts": endpoint.include_thoughts, - "safety_settings": { - HarmCategory.HARM_CATEGORY_HATE_SPEECH: HarmBlockThreshold.BLOCK_NONE, - HarmCategory.HARM_CATEGORY_HARASSMENT: HarmBlockThreshold.BLOCK_NONE, - HarmCategory.HARM_CATEGORY_SEXUALLY_EXPLICIT: HarmBlockThreshold.BLOCK_NONE, - HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT: HarmBlockThreshold.BLOCK_NONE, - }, - } - return ChatGoogleGenerativeAI(**{k: v for k, v in kwargs.items() if v is not None}) - - elif provider == ModelProvider.VERTEX_AI: - from langchain_google_vertexai import ( - ChatVertexAI, - HarmBlockThreshold, - HarmCategory, - ) - - kwargs = { - "model_name": endpoint.model_name, - "temperature": endpoint.temperature, - "max_output_tokens": endpoint.max_tokens, - "timeout": endpoint.timeout_seconds, - "thinking_budget": endpoint.thinking_budget, - "safety_settings": { - HarmCategory.HARM_CATEGORY_HATE_SPEECH: HarmBlockThreshold.BLOCK_NONE, - HarmCategory.HARM_CATEGORY_HARASSMENT: HarmBlockThreshold.BLOCK_NONE, - HarmCategory.HARM_CATEGORY_SEXUALLY_EXPLICIT: HarmBlockThreshold.BLOCK_NONE, - HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT: HarmBlockThreshold.BLOCK_NONE, - }, - } - return ChatVertexAI(**{k: v for k, v in kwargs.items() if v is not None}) - - elif provider == ModelProvider.OPENAI: - from langchain_openai import ChatOpenAI - - api_key = ( - endpoint.api_key - or (settings.OPENAI_API_KEY.get_secret_value() if settings.OPENAI_API_KEY else None) - or os.environ.get("OPENAI_API_KEY", "EMPTY") - ) - base_url = endpoint.api_base or ( - str(settings.OPENAI_BASE_URL) if settings.OPENAI_BASE_URL else None - ) - kwargs = { - "model": endpoint.model_name, - "temperature": endpoint.temperature, - "max_tokens": endpoint.max_tokens, - "api_key": api_key, - "base_url": base_url, - "timeout": endpoint.timeout_seconds, - } - if endpoint.reasoning_effort: - kwargs["reasoning_effort"] = endpoint.reasoning_effort - return ChatOpenAI(**{k: v for k, v in kwargs.items() if v is not None}) - - elif provider == ModelProvider.ANTHROPIC: - from langchain_anthropic import ChatAnthropic - - api_key = ( - endpoint.api_key - or ( - settings.ANTHROPIC_API_KEY.get_secret_value() - if settings.ANTHROPIC_API_KEY - else None - ) - or os.environ.get("ANTHROPIC_API_KEY") - ) - kwargs = { - "model": endpoint.model_name, - "temperature": endpoint.temperature, - "api_key": api_key, - "timeout": endpoint.timeout_seconds, - } - budget = endpoint.thinking_budget - if not budget and endpoint.reasoning_effort: - effort_map = {"low": 2048, "medium": 8192, "high": 32768} - budget = effort_map.get(endpoint.reasoning_effort.lower()) - if budget: - kwargs["thinking"] = {"type": "enabled", "budget_tokens": budget} - kwargs["temperature"] = 1.0 - return ChatAnthropic(**{k: v for k, v in kwargs.items() if v is not None}) - - elif provider == ModelProvider.OPENROUTER: - from langchain_openai import ChatOpenAI - - api_key = ( - endpoint.api_key - or ( - settings.OPEN_ROUTER_API_KEY.get_secret_value() - if settings.OPEN_ROUTER_API_KEY - else None - ) - or os.environ.get("OPEN_ROUTER_API_KEY") - ) - return ChatOpenAI( - model=endpoint.model_name, - temperature=endpoint.temperature, - api_key=api_key, - base_url=endpoint.api_base or "https://openrouter.ai/api/v1", - timeout=endpoint.timeout_seconds, - ) - - elif provider == ModelProvider.XAI: - from langchain_openai import ChatOpenAI - - api_key = ( - endpoint.api_key - or (settings.XAI_API_KEY.get_secret_value() if settings.XAI_API_KEY else None) - or os.environ.get("XAI_API_KEY") - ) - return ChatOpenAI( - model=endpoint.model_name, - temperature=endpoint.temperature, - api_key=api_key, - base_url=endpoint.api_base or "https://api.x.ai/v1", - timeout=endpoint.timeout_seconds, - ) - - elif provider in (ModelProvider.OLLAMA, ModelProvider.VLLM, ModelProvider.CUSTOM): - from langchain_openai import ChatOpenAI - - api_key = endpoint.api_key or os.environ.get("OPENAI_API_KEY", "EMPTY") - base_url = endpoint.api_base or os.environ.get( - "OPENAI_BASE_URL", "http://localhost:8000/v1" - ) - kwargs = { - "model": endpoint.model_name, - "temperature": endpoint.temperature, - "max_tokens": endpoint.max_tokens, - "api_key": api_key, - "base_url": base_url, - "timeout": endpoint.timeout_seconds, - } - if endpoint.reasoning_effort: - kwargs["reasoning_effort"] = endpoint.reasoning_effort - return ChatOpenAI(**{k: v for k, v in kwargs.items() if v is not None}) - - else: - raise ValueError(f"Unsupported model provider: {provider}") + api_key = endpoint.api_key or ( + settings.OPENAI_API_KEY.get_secret_value() if settings.OPENAI_API_KEY else None + ) + if not api_key: + raise ValueError("请在环境变量或 .env 中配置 OPENAI_API_KEY") + kwargs = { + "model": endpoint.model_name, + "api_key": api_key, + "base_url": endpoint.api_base or settings.OPENAI_BASE_URL or None, + "timeout": endpoint.timeout_seconds, + "max_retries": endpoint.max_retries, + "temperature": endpoint.temperature, + "max_tokens": endpoint.max_tokens, + "reasoning_effort": endpoint.reasoning_effort, + "use_responses_api": True, + "output_version": "responses/v1", + "store": False, + } + return ChatOpenAI(**{k: v for k, v in kwargs.items() if v is not None}) diff --git a/artemis/llm/google/usage.py b/artemis/llm/usage.py similarity index 100% rename from artemis/llm/google/usage.py rename to artemis/llm/usage.py diff --git a/artemis/memory/chunking.py b/artemis/memory/chunking.py index 4e56454..152c001 100644 --- a/artemis/memory/chunking.py +++ b/artemis/memory/chunking.py @@ -35,6 +35,7 @@ context is rebuilt only when a compression event replaces or folds turns. """ import asyncio +from artemis.config.settings import settings from dataclasses import dataclass, field import json from pathlib import Path @@ -45,7 +46,6 @@ from uuid import uuid4 from langchain_core.messages import BaseMessage, HumanMessage, SystemMessage -from artemis.llm.google import is_google_provider from artemis.memory.step_memory import JobKey, StepLens, StepMemoryService from artemis.memory.transcript import format_session_offset from artemis.utils.logger import get_logger @@ -298,7 +298,7 @@ class StepCapsuleLens(StepLens): fallback_model_name: str | None = None, fallback_llm: Any | None = None, ): - self._model_name = model_name or "gemini-3.8-flash" + self._model_name = model_name or settings.OPENAI_MODEL self._llm = llm self._ctx = ctx # Availability hardening: `chunking.model` is a dedicated model with no @@ -323,16 +323,16 @@ class StepCapsuleLens(StepLens): def _get_llm(self): if self._llm is None: - from artemis.services.llm import get_google_llm + from artemis.services.llm import get_openai_llm - self._llm = get_google_llm(model_name=self._model_name, temperature=0.0) + self._llm = get_openai_llm(model_name=self._model_name, temperature=0.0) return self._llm def _get_fallback_llm(self): if self._fallback_llm is None and self._fallback_model_name: - from artemis.services.llm import get_google_llm + from artemis.services.llm import get_openai_llm - self._fallback_llm = get_google_llm( + self._fallback_llm = get_openai_llm( model_name=self._fallback_model_name, temperature=0.0 ) return self._fallback_llm @@ -891,7 +891,7 @@ class HistoryChunkManager: self._max_steps = int(getattr(cc, "max_steps", 12) or 12) self._min_steps = max(1, min(self._max_steps, int(getattr(cc, "min_steps", 3) or 3))) self._target_source_tokens = int(getattr(cc, "target_source_tokens", 2000) or 2000) - self._model_name = getattr(cc, "model", None) or "gemini-3.8-flash" + self._model_name = getattr(cc, "model", None) or settings.OPENAI_MODEL self._max_chunks = int(getattr(cc, "max_chunks", 8) or 8) # None uses max_chunks as the era cap. self._max_eras = int(getattr(cc, "max_eras", None) or self._max_chunks) @@ -965,7 +965,7 @@ class HistoryChunkManager: fallback = getattr(getattr(llm_cfg, "summarizer", None), "fallback", None) provider = str(getattr(fallback, "provider", "") or "") model = getattr(fallback, "model", None) - if model and is_google_provider(provider) and model != self._model_name: + if model and str(provider).lower() == "openai" and model != self._model_name: return str(model) except Exception as exc: logger.debug(f"Capsule fallback model resolution skipped: {exc}", exc_info=True) diff --git a/artemis/resources/config/artemis.jsonc b/artemis/resources/config/artemis.jsonc index 517d738..44e5d6c 100644 --- a/artemis/resources/config/artemis.jsonc +++ b/artemis/resources/config/artemis.jsonc @@ -1,299 +1,122 @@ +// 模型仅支持 OpenAI Responses；端点和密钥从 .env 读取。 { - // ============================================================================== - // ☕ ARTEMIS Autonomous Agent & Framework Configuration - // ============================================================================== - - // ------------------------------------------------------------------------------ - // 1. Global Default Model (Applied to all sub-agents unless overridden below) - // ------------------------------------------------------------------------------ "default": { - "provider": "google", - "model": "gemini-3.8-flash", - "thinking_level": "medium", + "provider": "openai", + "model": "${env:OPENAI_MODEL:-gpt-5-mini}", + "timeout": "${env:OPENAI_TIMEOUT_SECONDS:-120}", + "max_retries": "${env:OPENAI_MAX_RETRIES:-0}", "fallback": { - "provider": "google", - "model": "gemini-3.7-flash", - "thinking_level": "medium" + "provider": "openai", + "model": "${env:OPENAI_MODEL:-gpt-5-mini}" } }, - - // ------------------------------------------------------------------------------ - // 2. Ready-to-Use Presets (Switch easily in code or CLI) - // ------------------------------------------------------------------------------ - "presets": { - "gemini-flagship": { - "provider": "google", - "model": "gemini-3.8-flash", - "fallback": { "provider": "google", "model": "gemini-3.7-flash" } - }, - "gemini-flash": { - "provider": "google", - "model": "gemini-2.5-flash", - "fallback": { "provider": "google", "model": "gemini-2.0-flash" } - }, - "openai-gpt4o": { - "provider": "openai", - "model": "gpt-4o", - "fallback": { "provider": "openai", "model": "gpt-4o-mini" } - }, - "cost-saving": { - "provider": "google", - "model": "gemini-3.5-flash-lite", - "fallback": { "provider": "google", "model": "gemini-3.1-flash-lite" } - }, - "local-ollama": { - "provider": "openai", - "model": "llama3.2-vision", - "fallback": { "provider": "openai", "model": "llama3.2-vision" } - } - }, - - // ------------------------------------------------------------------------------ - // 3. Agent & Sub-Agent Node Customizations (Optional - Inherits from 'default') - // ------------------------------------------------------------------------------ + "presets": {}, "nodes": { - // 🧠 Planner: High-level goal decomposition and strategic step planning - "planner": { - "thinking_level": "high" - }, - - // 🎯 Operator: Screen perception, element interaction, and direct execution - "operator": { - "thinking_level": "medium", - "include_thoughts": true - }, - - // 🎬 Video Analyzer: Multimodal screen recording verification and temporal analysis - // NOTE: Dual-path engine automatically routes: - // - Native Gemini Files API for Gemini models with Google API keys (long video file stream); - // Gemini 3.6+ Flash sub-agents use agentic video understanding by default (see video_analyzer.processing below) - // - Universal Multi-Model Engine for Claude 3.5/3.7, GPT-4o, OpenRouter, Vertex AI (dynamic keyframe extraction + multimodal tool calling) + "planner": {}, + "operator": {}, "video_analyzer": {}, - - // 👁️ Object Detector & Explorer (Flash Mode): Visual coordinates grounding and bounding boxes - // CRITICAL REQUIREMENT: Standard LLMs (including standard Gemini Flash, GPT-4o, Claude 3.7) lack sub-pixel spatial coordinate fine-tuning. - // To achieve accurate [x, y] point and bounding box localization, this node MUST use specialized Gemini ER (Embodied Reasoning / Robotics) models: - // e.g., "gemini-robotics-er-2-preview". Non-ER models will fail spatial coordinate detection. - "object_detector": { - "model": "gemini-robotics-er-2-preview", - "fallback": { - "provider": "google", - "model": "gemini-robotics-er-2-preview" - } - }, - - // 🔍 Explorer: Deep element grounding and multi-candidate visual search - // NOTE: - // - "flash" version delegates directly to object_detector (requires Gemini ER model above). - // - "pro" / "ultra" versions run multi-turn ReAct loops (supports both Native Gemini and Universal Multi-Model LangChain engines). - "explorer": { - "thinking_level": "medium" - }, - - // 📋 Summarizer: Aggregates step history and generates structured outcome + "object_detector": {}, + "explorer": {}, "summarizer": {}, - - // 🔽 Hopper: Fast lightweight package name locator - "hopper": { - "model": "gemini-3.5-flash-lite", - "fallback": { - "provider": "google", - "model": "gemini-3.1-flash-lite" - } - }, - - // 📝 Outputter: Synthesizes execution trace into final output report + "hopper": {}, "outputter": {}, - - // 🪵 Log Analyzer: Error log diagnosis with search grounding - "log_analyzer": { - "enable_grounding": true - }, - - // 🩺 Diagnoser Expert: Failure root cause diagnosis with search grounding - "diagnoser_expert": { - "enable_grounding": true - }, - // 🏛️ Committee Council Members + "log_analyzer": {}, + "diagnoser_expert": {}, "planner_avatar": {}, "history_analyzer_expert": {}, - // 🔎 Checker: Plan-declared checkpoint verification and exit final review. - // Thoughts are streamed so the verifier's reasoning shows live in the timeline. - "checker": { - "thinking_level": "medium", - "include_thoughts": true - } - // 🎯 Planner Validation: Advisory review of milestone changes. - // Defaults to the same lightweight model as the pixel safety net - // (gemini-3.5-flash-lite, temperature 0); add "planner_validation": {...} here to override. + "checker": {} }, - - // ------------------------------------------------------------------------------ - // 4. Runtime Mode & Agent Capabilities Configuration (Dual-Engine: Flash vs. Pro) - // ------------------------------------------------------------------------------ "agent": { - // ========================================================================== - // ⚡ 4.1 FLASH Profile Options (Reactive Single-Agent Lightweight Loop) - // ========================================================================== - // Best for: Simple, fast, deterministic tasks; runs unbounded by default. - // Execution: Observe-Think-Act single LLM reactive loop without graph overhead. "flash": { - "max_turns": 0, // Maximum reactive turns before stopping (0 = unlimited; history is bounded by transcript compression, not by a turn cap) - "explorer_mode": "flash", // Explorer tier for the Flash runner: 'flash' | 'pro' | 'ultra' (see top-level "explorer") - // 🧠 Step Summarizer: Asynchronous visual context compressor - // Summarizes intermediate steps in background without blocking the runner, - // replacing images only after strictly objective, high-density summaries are ready. + "max_turns": 0, + "explorer_mode": "flash", "step_summarizer": { - "enabled": true, // Whether background step summarization is active - "model": "gemini-3.5-flash-lite", // Lightweight model for fast background inference - "prune_history_xml": true // Prune outdated heavy XML trees from historical steps + "enabled": "${env:ARTEMIS_STEP_SUMMARIZER_ENABLED:-true}", + "model": "${env:OPENAI_MODEL:-gpt-5-mini}", + "prune_history_xml": true } }, - // ========================================================================== - // 🚀 4.2 PRO Profile Options (Deep Multi-Agent Graph Closed-Loop) - // ========================================================================== - // Best for: Complex, exploratory, dynamic multi-branch tasks. - // Execution: LangGraph multi-node graph with a living task plan, a pre-execution safety net (single actions) / fast-action bursts (multi-action turns), - // execution-incident recovery handled by the Operator itself (no separate repair agent), and a read-only Checker for checkpoint verification + exit final review. "pro": { - // 🧭 Explorer: Perception sub-agent under Pro profile ('flash', 'pro', or 'ultra') "explorer": { - "mode": "flash" // Explorer tier for Pro nodes (Operator/Validator): 'flash' | 'pro' | 'ultra' + "mode": "flash" }, - // 🎯 Planner Validation: Async verification when task plan milestones change "planner_validation": { - "enabled": true // On by default: every milestone text change is reviewed (advisory: hint + reason only, never rolled back) + "enabled": true }, - // 🏛️ Committee: Multi-Agent Council debate tool for Operator "committee": { "enabled": false, "debate_rounds": 2 }, - // 🔎 Checker: Plan-declared checkpoint verification (optimistic async) + exit final review "checker": { - "enabled": true, // Master switch (compat alias): false disables both gates below - "midway_checks": false, // Plan-declared midway checkpoints (off in the factory layering) - "final_check": true, // Exit final review against the user's original goal (on by default) + "enabled": true, + "midway_checks": false, + "final_check": true, "max_iterations": 20, "final_check_max_attempts": 3, "checkpoint_max_repairs": 2, "max_concurrent_checkpoints": 3, - "checkpoint_timeout": 180.0, - "settlement_timeout": 120.0, - "assert_failure_policy": "continue", // 'continue' or 'halt' on assert failures - "device_probes": true // Checker's enumerated read-only device probes + "checkpoint_timeout": "${env:ARTEMIS_CHECKPOINT_TIMEOUT_SECONDS:-180}", + "settlement_timeout": "${env:ARTEMIS_SETTLEMENT_TIMEOUT_SECONDS:-120}", + "assert_failure_policy": "continue", + "device_probes": true }, - // 🎬 Video Analyzer & Screen Recording: Continuous screen recording via scrcpy and temporal analysis "video_analyzer": { - "enabled": true, // Whether continuous video recording and video tools are active (default: auto-detected) + "enabled": "${env:ARTEMIS_VIDEO_ENABLED:-true}", "enable_ledger": true } }, - // ========================================================================== - // 🌐 4.3 Shared Capabilities & Global Overrides - // ========================================================================== - // Shared step memory and history compression - // Transcript ledger + layered compression for the Pro operator. "memory": { - // Background summarization runtime (visual/capsule lenses) "runtime": { - "max_concurrency": 2, // 1→2 per 2026-09-01 baseline: serial queue pushed summary-ready P90 past the scrub window + "max_concurrency": 2, "retry_limit": 3, "flush_timeout_s": 30 }, "transcript": { - // ROLLBACK SWITCH: set false to restore the legacy per-turn 2-message - // prompt path byte-for-byte (L2/L3 chunk compression rides this same - // flag). See services/token_meter.py for measured session token usage - // and cache-hit ratios. "enabled": true, "context_budget_tokens": 80000, - // Below start_ratio of the operator's own measured prompt size, closed - // segments only prepare their summary; the original turns are kept in - // context and replaced once occupancy reaches this ratio. Measurements - // come from the operator; other agents' calls do not affect this gate. "start_ratio": 0.35, "soft_ratio": 0.7, "hard_ratio": 0.9, "min_active_steps": 5, - // Screenshot edge: 6 while the operator's measured context is below - // start_ratio (nothing is being replaced yet), 3 from there up. A - // screenshot reaching the edge is replaced in place by its visual - // summary (the 'Current Screenshot' label leaves with it) and never - // restored; the depth only decides how long new ones stay. "image_scrub_depth": 3, "image_scrub_depth_relaxed": 6, "pending_grace_steps": 3, - // Text edge: once a newer observation exists (depth 1) the UI element - // list, the plan recitation and the per-turn ephemeral blocks - // (reminders, hints, guidance wrappers) leave the older observation. - // User instruction bodies remain in history. The text edge stays - // shallow on purpose: only the live observation carries an indexed - // element list, so a stale [n] index can never be picked up as a - // target. "xml_scrub_depth": 1, - // Local historical-state hint (no model call); distance calibrated - // 2026-09-01 from 460 dHash-stamped on-device steps (same screen <=4, - // different screens >=7). "similarity_hint": true, "similarity_max_distance": 5 }, - // Segment (L2) chunk compression: three-band chunks, era folding "chunking": { "max_steps": 12, - // Size/pressure closes wait until at least this many turns are - // eligible, so heavy turns do not become one-step chunks (one capsule - // call each); milestone closes are exempt, the hard line waives it. "min_steps": 3, "target_source_tokens": 2000, - "model": "gemini-3.8-flash", + "model": "${env:OPENAI_MODEL:-gpt-5-mini}", "max_chunks": 8 - // "max_eras": 8 // independent era cap; omitted = follows max_chunks }, - // search_history: deterministic keyword / step-range lookup over stored history "recall": { "enabled": true, "max_results": 5, "max_text_tokens": 2000, "screen_scan_steps": 150 }, - // replay_steps: full step replays (whole trailing steps are dropped over budget) "replay": { "max_steps": 5, "max_tokens": 12000 } }, - // 🎬 Screen Recording & Video Analyzer Configuration "video_analyzer": { - "enabled": true, // Whether continuous screen recording via scrcpy is active (default: auto-detected) + "enabled": "${env:ARTEMIS_VIDEO_ENABLED:-true}", "enable_ledger": true - // "processing": "auto", // How Gemini sub-agents watch a clip: auto (agentic on Gemini 3.6+ Flash, static elsewhere) | agentic | static - // "agentic_chunk_size_seconds": 600, // Longest clip one agentic sub-agent takes; static mode keeps chunk_size_seconds (60) - // "agentic_call_timeout_seconds": 300 // Hard timeout for one agentic sub-agent response }, - // 📝 Outputter: Post-execution report synthesis and structured schema extraction - // Reviews action history, notes, and verifies goal achievement to synthesize final output. "outputter": { - "enabled": true, // Whether Outputter is mounted to synthesize final outputs - "force_synthesis": false // Force Outputter synthesis even without explicit output schema + "enabled": "${env:ARTEMIS_OUTPUTTER_ENABLED:-true}", + "force_synthesis": false }, - // 🧭 Explorer tier: the perception sub-agent behind `ask_explorer`. - // Tiers are a user setting; calling agents never see which tier is active. - // flash - one-shot visual detection on the screenshot (fastest) - // pro - 3-turn reasoning loop: UI-tree search + coordinate audit + detection - // ultra - 8-turn loop adding zoom, OCR and pixel-level image processing (slowest) - // `flash.explorer_mode` and `pro.explorer.mode` above are the per-profile knobs; - // `caching` (Gemini explicit context caching) defaults per tier: off for pro, on for ultra. "explorer": { - "default_version": "flash" // Fallback tier when no profile knob applies - // "caching": true, // Uncomment to force context caching for pro/ultra + "default_version": "flash" }, - // Advanced: per-agent tier override, e.g. {"validator": "ultra"}. Takes - // precedence over the profile knobs; leave empty to let them decide. "explorer_versions": {}, -// 🚫 Per-agent Tool Denylists "denylisted_tools": { - "explorer": [] // Perception tools to withhold from the Explorer, e.g. "ask_image_processor" + "explorer": [] } } } diff --git a/artemis/resources/showcase_ui/index.html b/artemis/resources/showcase_ui/index.html index 1a249ea..3f017b3 100644 --- a/artemis/resources/showcase_ui/index.html +++ b/artemis/resources/showcase_ui/index.html @@ -15,7 +15,7 @@ limitations under the License. --> - + artemis @@ -23,15 +23,15 @@ - + - + - + diff --git a/artemis/resources/showcase_ui/main-BGAFACUZ.js b/artemis/resources/showcase_ui/main-BGAFACUZ.js deleted file mode 100644 index 8ae6a1d..0000000 --- a/artemis/resources/showcase_ui/main-BGAFACUZ.js +++ /dev/null @@ -1,18 +0,0 @@ -var aO=Object.defineProperty,sO=Object.defineProperties;var cO=Object.getOwnPropertyDescriptors;var vm=Object.getOwnPropertySymbols;var lO=Object.prototype.hasOwnProperty,dO=Object.prototype.propertyIsEnumerable;var ym=(n,t,e)=>t in 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Ke;routerOutletData=Al();parentContexts=D(Nr);location=D(vi);changeDetector=D(oo);inputBinder=D(vd,{optional:!0});supportsBindingToComponentInputs=!0;ngOnChanges(e){if(e.name){let{firstChange:o,previousValue:i}=e.name;if(o)return;this.isTrackedInParentContexts(i)&&(this.deactivate(),this.parentContexts.onChildOutletDestroyed(i)),this.initializeOutletWithName()}}ngOnDestroy(){this.isTrackedInParentContexts(this.name)&&this.parentContexts.onChildOutletDestroyed(this.name),this.inputBinder?.unsubscribeFromRouteData(this)}isTrackedInParentContexts(e){return this.parentContexts.getContext(e)?.outlet===this}ngOnInit(){this.initializeOutletWithName()}initializeOutletWithName(){if(this.parentContexts.onChildOutletCreated(this.name,this),this.activated)return;let e=this.parentContexts.getContext(this.name);e?.route&&(e.attachRef?this.attach(e.attachRef,e.route):this.activateWith(e.route,e.injector))}get isActivated(){return!!this.activated}get component(){if(!this.activated)throw new z(4012,!1);return this.activated.instance}get activatedRoute(){if(!this.activated)throw new z(4012,!1);return this._activatedRoute}get activatedRouteData(){return this._activatedRoute?this._activatedRoute.snapshot.data:{}}detach(){if(!this.activated)throw new z(4012,!1);this.location.detach();let e=this.activated;return this.activated=null,this._activatedRoute=null,this.detachEvents.emit(e.instance),e}attach(e,o){this.activated=e,this._activatedRoute=o,this.location.insert(e.hostView),this.inputBinder?.bindActivatedRouteToOutletComponent(this,this.location.injector),this.attachEvents.emit(e.instance)}deactivate(){if(this.activated){let e=this.component;this.activated.destroy(),this.activated=null,this._activatedRoute=null,this.deactivateEvents.emit(e)}}activateWith(e,o){if(this.isActivated)throw new z(4013,!1);this._activatedRoute=e;let i=this.location,a=e.snapshot.component,s=this.parentContexts.getOrCreateContext(this.name).children,c=new If(e,s,i.injector,this.routerOutletData);this.activated=i.createComponent(a,{index:i.length,injector:c,environmentInjector:o}),this.changeDetector.markForCheck(),this.inputBinder?.bindActivatedRouteToOutletComponent(this,this.location.injector),this.activateEvents.emit(this.activated.instance)}static \u0275fac=function(o){return new(o||n)};static \u0275dir=qe({type:n,selectors:[["router-outlet"]],inputs:{name:"name",routerOutletData:[1,"routerOutletData"]},outputs:{activateEvents:"activate",deactivateEvents:"deactivate",attachEvents:"attach",detachEvents:"detach"},exportAs:["outlet"],features:[In]})}return n})(),If=class{route;childContexts;parent;outletData;constructor(t,e,o,i){this.route=t,this.childContexts=e,this.parent=o,this.outletData=i}get(t,e){return t===lo?this.route:t===Nr?this.childContexts:t===pb?this.outletData:this.parent.get(t,e)}},vd=new B("");var Bf=(()=>{class n{static \u0275fac=function(o){return new(o||n)};static \u0275cmp=Ge({type:n,selectors:[["ng-component"]],exportAs:["emptyRouterOutlet"],decls:1,vars:0,template:function(o,i){o&1&&$(0,"router-outlet")},dependencies:[hs],encapsulation:2,changeDetection:1})}return n})();function Hf(n){let t=n.children&&n.children.map(Hf),e=t?F(S({},n),{children:t}):S({},n);return!e.component&&!e.loadComponent&&(t||e.loadChildren)&&e.outlet&&e.outlet!==re&&(e.component=Bf),e}function p2(n,t,e){let o=new Set,i=fs(n,t._root,e?e._root:void 0,o);return{newlyCreatedRoutes:o,state:new gs(i,t)}}function fs(n,t,e,o){if(e&&n.shouldReuseRoute(t.value,e.value.snapshot)){let i=e.value;i._setPending(t.value);let r=f2(n,t,e,o);return new Vt(i,r)}else{if(n.shouldAttach(t.value)){let a=n.retrieve(t.value);if(a!==null){let s=a.route;return s.value._setPending(t.value),s.children=t.children.map(c=>fs(n,c,void 0,o)),s}}let i=m2(t.value);i._setPending(t.value),o.add(i);let r=t.children.map(a=>fs(n,a,void 0,o));return new Vt(i,r)}}function f2(n,t,e,o){return t.children.map(i=>{for(let r of e.children)if(n.shouldReuseRoute(i.value,r.value.snapshot))return fs(n,i,r,o);return fs(n,i,void 0,o)})}function m2(n){return new lo(new st(n.url),new st(n.params),new st(n.queryParams),new st(n.fragment),new st(n.data),n.outlet,n.component,n)}var Ir=class{redirectTo;navigationBehaviorOptions;constructor(t,e){this.redirectTo=t,this.navigationBehaviorOptions=e}},fb="ngNavigationCancelingError";function bd(n,t){let{redirectTo:e,navigationBehaviorOptions:o}=Vo(t)?{redirectTo:t,navigationBehaviorOptions:void 0}:t,i=mb(!1,pt.Redirect);return i.url=e,i.navigationBehaviorOptions=o,i}function mb(n,t){let e=new Error(`NavigationCancelingError: ${n||""}`);return e[fb]=!0,e.cancellationCode=t,e}function _2(n){return _b(n)&&Vo(n.url)}function _b(n){return!!n&&n[fb]}var Tf=class{routeReuseStrategy;futureState;currState;forwardEvent;inputBindingEnabled;constructor(t,e,o,i,r){this.routeReuseStrategy=t,this.futureState=e,this.currState=o,this.forwardEvent=i,this.inputBindingEnabled=r}activate(t){let e=this.futureState._root,o=this.currState?this.currState._root:null;this.deactivateChildRoutes(e,o,t),Pf(this.futureState.root),this.activateChildRoutes(e,o,t)}deactivateChildRoutes(t,e,o){let i=yr(e);t.children.forEach(r=>{let a=r.value.outlet;this.deactivateRoutes(r,i[a],o),delete i[a]}),Object.values(i).forEach(r=>{this.deactivateRouteAndItsChildren(r,o)})}deactivateRoutes(t,e,o){let i=t.value,r=e?e.value:null;if(i===r)if(i.component){let a=o.getContext(i.outlet);a&&this.deactivateChildRoutes(t,e,a.children)}else this.deactivateChildRoutes(t,e,o);else r&&this.deactivateRouteAndItsChildren(e,o)}deactivateRouteAndItsChildren(t,e){t.value.component&&this.routeReuseStrategy.shouldDetach(t.value.snapshot)?this.detachAndStoreRouteSubtree(t,e):this.deactivateRouteAndOutlet(t,e)}detachAndStoreRouteSubtree(t,e){let o=e.getContext(t.value.outlet),i=o&&t.value.component?o.children:e,r=yr(t);for(let a of Object.values(r))this.deactivateRouteAndItsChildren(a,i);if(o&&o.outlet){let a=o.outlet.detach(),s=o.children.onOutletDeactivated();this.routeReuseStrategy.store(t.value.snapshot,{componentRef:a,route:t,contexts:s})}}deactivateRouteAndOutlet(t,e){let o=e.getContext(t.value.outlet),i=o&&t.value.component?o.children:e,r=yr(t);for(let a of Object.values(r))this.deactivateRouteAndItsChildren(a,i);o&&(o.outlet&&(o.outlet.deactivate(),o.children.onOutletDeactivated()),o.attachRef=null,o.route=null),t.value._localInjector?.destroy()}activateChildRoutes(t,e,o){let i=yr(e);t.children.forEach(r=>{this.activateRoutes(r,i[r.value.outlet],o),this.forwardEvent(new hd(r.value.snapshot))}),t.children.length&&this.forwardEvent(new md(t.value.snapshot))}activateRoutes(t,e,o){let i=t.value,r=e?e.value:null;if(Pf(i),i===r)if(i.component){let a=o.getOrCreateContext(i.outlet);this.activateChildRoutes(t,e,a.children)}else this.activateChildRoutes(t,e,o);else if(i.component){let a=o.getOrCreateContext(i.outlet);if(this.routeReuseStrategy.shouldAttach(i.snapshot)){let s=this.routeReuseStrategy.retrieve(i.snapshot);this.routeReuseStrategy.store(i.snapshot,null),a.children.onOutletReAttached(s.contexts),a.attachRef=s.componentRef,a.route=s.route.value,a.outlet&&a.outlet.attach(s.componentRef,s.route.value),Pf(s.route.value),this.activateChildRoutes(t,null,a.children)}else a.attachRef=null,a.route=i,a.outlet&&a.outlet.activateWith(i,a.injector),this.activateChildRoutes(t,null,a.children)}else this.activateChildRoutes(t,null,o)}},Pd=class{path;route;constructor(t){this.path=t,this.route=this.path[this.path.length-1]}},wr=class{component;route;constructor(t,e){this.component=t,this.route=e}};function h2(n,t,e){let o=n._root,i=t?t._root:null;return is(o,i,e,[o.value])}function C2(n){let t=n.routeConfig?n.routeConfig.canActivateChild:null;return!t||t.length===0?null:{node:n,guards:t}}function Rr(n,t){let e=Symbol(),o=t.get(n,e);return o===e?typeof n=="function"&&!Vu(n)?n:t.get(n):o}function is(n,t,e,o,i={canDeactivateChecks:[],canActivateChecks:[]}){let r=yr(t);return n.children.forEach(a=>{M2(a,r[a.value.outlet],e,o.concat([a.value]),i),delete r[a.value.outlet]}),Object.entries(r).forEach(([a,s])=>ss(s,e.getContext(a),e,i)),i}function M2(n,t,e,o,i={canDeactivateChecks:[],canActivateChecks:[]}){let r=n.value,a=t?t.value:null,s=e?e.getContext(n.value.outlet):null;if(a&&r.routeConfig===a.routeConfig){let c=b2(a,r,r.routeConfig.runGuardsAndResolvers);c?i.canActivateChecks.push(new Pd(o)):(r.data=a.data,r._resolvedData=a._resolvedData),r.component?is(n,t,s?s.children:null,o,i):is(n,t,e,o,i),c&&s&&s.outlet&&s.outlet.isActivated&&i.canDeactivateChecks.push(new wr(s.outlet.component,a))}else a&&ss(t,s,e,i),i.canActivateChecks.push(new Pd(o)),r.component?is(n,null,s?s.children:null,o,i):is(n,null,e,o,i);return i}function b2(n,t,e){if(typeof e=="function")return et(t._environmentInjector,()=>e(n,t));switch(e){case"pathParamsChange":return!Di(n.url,t.url);case"pathParamsOrQueryParamsChange":return!Di(n.url,t.url)||!Ln(n.queryParams,t.queryParams);case"always":return!0;case"paramsOrQueryParamsChange":return!Df(n,t)||!Ln(n.queryParams,t.queryParams);default:return!Df(n,t)}}function ss(n,t,e,o){let i=yr(n),r=n.value;Object.entries(i).forEach(([a,s])=>{r.component?t?ss(s,t.children.getContext(a),t.children,o):ss(s,null,null,o):ss(s,e?e.getContext(a):null,e,o)}),r.component?t&&t.outlet&&t.outlet.isActivated?o.canDeactivateChecks.push(new wr(t.outlet.component,r)):o.canDeactivateChecks.push(new wr(null,r)):o.canDeactivateChecks.push(new wr(null,r))}function Cs(n){return typeof n=="function"}function P2(n){return typeof n=="boolean"}function O2(n){return n&&Cs(n.canLoad)}function v2(n){return n&&Cs(n.canActivate)}function y2(n){return n&&Cs(n.canActivateChild)}function x2(n){return n&&Cs(n.canDeactivate)}function w2(n){return n&&Cs(n.canMatch)}function hb(n){return n instanceof Qo||n?.name==="EmptyError"}var td=Symbol("INITIAL_VALUE");function Tr(){return vt(n=>Mu(n.map(t=>t.pipe(Bn(1),vu(td)))).pipe(Pe(t=>{for(let e of t)if(e!==!0){if(e===td)return td;if(e===!1||S2(e))return e}return!0}),Bt(t=>t!==td),Bn(1)))}function S2(n){return Vo(n)||n instanceof Ir}function Cb(n){return n.aborted?se(void 0).pipe(Bn(1)):new ie(t=>{let e=()=>{t.next(),t.complete()};return n.addEventListener("abort",e),()=>n.removeEventListener("abort",e)})}function Mb(n){return Xr(Cb(n))}function k2(n){return ut(t=>{let{targetSnapshot:e,currentSnapshot:o,guards:{canActivateChecks:i,canDeactivateChecks:r}}=t;return r.length===0&&i.length===0?se(F(S({},t),{guardsResult:!0})):E2(r,e,o).pipe(ut(a=>a&&P2(a)?D2(e,i,n):se(a)),Pe(a=>F(S({},t),{guardsResult:a})))})}function E2(n,t,e){return Fe(n).pipe(ut(o=>R2(o.component,o.route,e,t)),Hn(o=>o!==!0,!0))}function D2(n,t,e){return Fe(t).pipe(Jo(o=>Wi(T2(o.route.parent,e),I2(o.route,e),N2(n,o.path),A2(n,o.route))),Hn(o=>o!==!0,!0))}function I2(n,t){return n!==null&&t&&t(new _d(n)),se(!0)}function T2(n,t){return n!==null&&t&&t(new fd(n)),se(!0)}function A2(n,t){let e=t.routeConfig?t.routeConfig.canActivate:null;if(!e||e.length===0)return se(!0);let o=e.map(i=>Jr(()=>{let r=t._environmentInjector,a=Rr(i,r),s=v2(a)?a.canActivate(t,n):et(r,()=>a(t,n));return Ni(s).pipe(Hn())}));return se(o).pipe(Tr())}function N2(n,t){let e=t[t.length-1],i=t.slice(0,t.length-1).reverse().map(r=>C2(r)).filter(r=>r!==null).map(r=>Jr(()=>{let a=r.guards.map(s=>{let 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t.length===0&&!n.children[e]}var Rf=class{};function Y2(n,t,e,o,i,r,a,s){return be(this,null,function*(){return new Ff(n,t,e,o,i,a,r,s).recognize()})}var Z2=31,Ff=class{injector;configLoader;rootComponentType;config;urlTree;paramsInheritanceStrategy;urlSerializer;abortSignal;applyRedirects;absoluteRedirectCount=0;allowRedirects=!0;constructor(t,e,o,i,r,a,s,c){this.injector=t,this.configLoader=e,this.rootComponentType=o,this.config=i,this.urlTree=r,this.paramsInheritanceStrategy=a,this.urlSerializer=s,this.abortSignal=c,this.applyRedirects=new Af(this.urlSerializer,this.urlTree)}noMatchError(t){return new z(4002,`'${t.segmentGroup}'`)}recognize(){return be(this,null,function*(){let t=G0(this.urlTree.root,[],[],this.config).segmentGroup,{children:e,rootSnapshot:o}=yield this.match(t),i=new Vt(o,e),r=new ps("",i),a=ib(o,[],this.urlTree.queryParams,this.urlTree.fragment);return a.queryParams=this.urlTree.queryParams,r.url=this.urlSerializer.serialize(a),{state:r,tree:a}})}match(t){return be(this,null,function*(){let e=new Dr([],Object.freeze({}),Object.freeze(S({},this.urlTree.queryParams)),this.urlTree.fragment,Object.freeze({}),re,this.rootComponentType,null,{},this.injector);try{return{children:yield this.processSegmentGroup(this.injector,this.config,t,re,e),rootSnapshot:e}}catch(o){if(o instanceof ms)return this.urlTree=o.urlTree,this.match(o.urlTree.root);throw o instanceof so?this.noMatchError(o):o}})}processSegmentGroup(t,e,o,i,r){return be(this,null,function*(){if(o.segments.length===0&&o.hasChildren())return this.processChildren(t,e,o,r);let a=yield this.processSegment(t,e,o,o.segments,i,!0,r);return a instanceof Vt?[a]:[]})}processChildren(t,e,o,i){return be(this,null,function*(){let r=[];for(let c of Object.keys(o.children))c==="primary"?r.unshift(c):r.push(c);let a=[];for(let c of r){let p=o.children[c],f=B2(e,c),_=yield this.processSegmentGroup(t,f,p,c,i);a.push(..._)}let s=vb(a);return Q2(s),s})}processSegment(t,e,o,i,r,a,s){return be(this,null,function*(){for(let c of e)try{return yield this.processSegmentAgainstRoute(c._injector??t,e,c,o,i,r,a,s)}catch(p){if(p instanceof so||hb(p))continue;throw p}if(K2(o,i,r))return new Rf;throw new so(o)})}processSegmentAgainstRoute(t,e,o,i,r,a,s,c){return be(this,null,function*(){if(fn(o)!==a&&(a===re||!yd(i,r,o)))throw new so(i);if(o.redirectTo===void 0)return this.matchSegmentAgainstRoute(t,i,o,r,a,c);if(this.allowRedirects&&s)return this.expandSegmentAgainstRouteUsingRedirect(t,i,e,o,r,a,c);throw new so(i)})}expandSegmentAgainstRouteUsingRedirect(t,e,o,i,r,a,s){return be(this,null,function*(){let{matched:c,parameters:p,consumedSegments:f,positionalParamSegments:_,remainingSegments:C}=Ob(e,i,r);if(!c)throw new so(e);typeof i.redirectTo=="string"&&i.redirectTo[0]==="/"&&(this.absoluteRedirectCount++,this.absoluteRedirectCount>Z2&&(this.allowRedirects=!1));let h=this.createSnapshot(t,i,r,p,s);if(this.abortSignal.aborted)throw new Error(this.abortSignal.reason);let P=yield this.applyRedirects.applyRedirectCommands(f,i.redirectTo,_,Pb(h),t),T=yield this.applyRedirects.lineralizeSegments(i,P);return this.processSegment(t,o,e,T.concat(C),a,!1,s)})}createSnapshot(t,e,o,i,r){let a=new Dr(o,i,Object.freeze(S({},this.urlTree.queryParams)),this.urlTree.fragment,X2(e),fn(e),e.component??e._loadedComponent??null,e,eE(e),t),s=$f(a,r,this.paramsInheritanceStrategy);return a.params=Object.freeze(s.params),a.data=Object.freeze(s.data),a}matchSegmentAgainstRoute(t,e,o,i,r,a){return be(this,null,function*(){if(this.abortSignal.aborted)throw new Error(this.abortSignal.reason);let s=U=>this.createSnapshot(t,o,U.consumedSegments,U.parameters,a),c=yield rd(H2(e,o,i,t,this.urlSerializer,s,this.abortSignal));if(o.path==="**"&&(e.children={}),!c?.matched)throw new so(e);t=o._injector??t;let{routes:p}=yield this.getChildConfig(t,o,i),f=o._loadedInjector??t,{parameters:_,consumedSegments:C,remainingSegments:h}=c,P=this.createSnapshot(t,o,C,_,a),{segmentGroup:T,slicedSegments:A}=G0(e,C,h,p,r);if(A.length===0&&T.hasChildren()){let U=yield this.processChildren(f,p,T,P);return new Vt(P,U)}if(p.length===0&&A.length===0)return new Vt(P,[]);let N=fn(o)===r,E=yield this.processSegment(f,p,T,A,N?re:r,!0,P);return new Vt(P,E instanceof Vt?[E]:[])})}getChildConfig(t,e,o){return be(this,null,function*(){if(e.children)return{routes:e.children,injector:t};if(e.loadChildren){if(e._loadedRoutes!==void 0){let r=e._loadedNgModuleFactory;return r&&!e._loadedInjector&&(e._loadedInjector=r.create(t).injector),{routes:e._loadedRoutes,injector:e._loadedInjector}}if(this.abortSignal.aborted)throw new Error(this.abortSignal.reason);if(yield rd(F2(t,e,o,this.urlSerializer,this.abortSignal))){let r=yield this.configLoader.loadChildren(t,e);return e._loadedRoutes=r.routes,e._loadedInjector=r.injector,e._loadedNgModuleFactory=r.factory,r}throw j2(e)}return{routes:[],injector:t}})}};function Q2(n){n.sort((t,e)=>t.value.outlet===re?-1:e.value.outlet===re?1:t.value.outlet.localeCompare(e.value.outlet))}function J2(n){let t=n.value.routeConfig;return t&&t.path===""}function vb(n){let t=[],e=new Set;for(let o of n){if(!J2(o)){t.push(o);continue}let i=t.find(r=>o.value.routeConfig===r.value.routeConfig);i!==void 0?(i.children.push(...o.children),e.add(i)):t.push(o)}for(let o of e){let i=vb(o.children);t.push(new Vt(o.value,i))}return t.filter(o=>!e.has(o))}function X2(n){return n.data||{}}function eE(n){return n.resolve||{}}function tE(n,t,e,o,i,r,a){return ut(s=>be(null,null,function*(){let{state:c,tree:p}=yield Y2(n,t,e,o,s.extractedUrl,i,r,a);return F(S({},s),{targetSnapshot:c,urlAfterRedirects:p})}))}function nE(n){return ut(t=>{let{targetSnapshot:e,guards:{canActivateChecks:o}}=t;if(!o.length)return se(t);let i=new 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o,i=e.root;for(;i!==void 0;)o=this.getResolvedTitleForRoute(i)??o,i=i.children.find(r=>r.outlet===re);return o}getResolvedTitleForRoute(e){return e.data[_s]}static \u0275fac=function(o){return new(o||n)};static \u0275prov=Oe({token:n,factory:()=>D(wb)})}return n})(),wb=(()=>{class n extends Uf{title;constructor(e){super(),this.title=e}updateTitle(e){let o=this.buildTitle(e);o!==void 0&&this.title.setTitle(o)}static \u0275fac=function(o){return new(o||n)(Q($0))};static \u0275prov=te({token:n,factory:n.\u0275fac,providedIn:"root"})}return n})(),Fr=new B("",{factory:()=>({})}),Ms=new B(""),Sb=(()=>{class n{componentLoaders=new WeakMap;childrenLoaders=new WeakMap;onLoadStartListener;onLoadEndListener;compiler=D(qp);loadComponent(e,o){return be(this,null,function*(){if(this.componentLoaders.get(o))return this.componentLoaders.get(o);if(o._loadedComponent)return Promise.resolve(o._loadedComponent);this.onLoadStartListener&&this.onLoadStartListener(o);let i=be(this,null,function*(){try{let r=yield Y0(et(e,()=>o.loadComponent())),a=yield Eb(Yp(r));return this.onLoadEndListener&&this.onLoadEndListener(o),o._loadedComponent=a,a}finally{this.componentLoaders.delete(o)}});return this.componentLoaders.set(o,i),i})}loadChildren(e,o){if(this.childrenLoaders.get(o))return this.childrenLoaders.get(o);if(o._loadedRoutes)return Promise.resolve({routes:o._loadedRoutes,injector:o._loadedInjector});this.onLoadStartListener&&this.onLoadStartListener(o);let i=be(this,null,function*(){try{let r=yield kb(o,this.compiler,e,this.onLoadEndListener);return o._loadedRoutes=r.routes,o._loadedInjector=r.injector,o._loadedNgModuleFactory=r.factory,r}finally{this.childrenLoaders.delete(o)}});return this.childrenLoaders.set(o,i),i}static \u0275fac=function(o){return new(o||n)};static \u0275prov=Oe({token:n,factory:n.\u0275fac})}return n})();function kb(n,t,e,o){return be(this,null,function*(){let i=yield Y0(et(e,()=>n.loadChildren())),r=yield Eb(Yp(i)),a;r instanceof wl||Array.isArray(r)?a=r:a=yield t.compileModuleAsync(r),o&&o(n);let s,c,p=!1,f;return Array.isArray(a)?(c=a,p=!0):(s=a.create(e).injector,f=a,c=s.get(Ms,[],{optional:!0,self:!0}).flat()),{routes:c.map(Hf),injector:s,factory:f}})}function Eb(n){return be(this,null,function*(){return n})}var xd=(()=>{class n{static \u0275fac=function(o){return new(o||n)};static \u0275prov=Oe({token:n,factory:()=>D(aE)})}return n})(),aE=(()=>{class n{shouldProcessUrl(e){return!0}extract(e){return e}merge(e,o){return e}static \u0275fac=function(o){return new(o||n)};static \u0275prov=Oe({token:n,factory:n.\u0275fac})}return n})(),Db=new B("");var sE=()=>{},Ib=new B(""),Tb=(()=>{class n{currentNavigation=x(null,{equal:()=>!1});currentTransition=null;lastSuccessfulNavigation=x(null);events=new ye;transitionAbortWithErrorSubject=new ye;configLoader=D(Sb);environmentInjector=D(Le);destroyRef=D(Ae);urlSerializer=D(Ar);rootContexts=D(Nr);location=D(br);inputBindingEnabled=D(vd,{optional:!0})!==null;titleStrategy=D(Uf);options=D(Fr,{optional:!0})||{};paramsInheritanceStrategy=this.options.paramsInheritanceStrategy||g2;urlHandlingStrategy=D(xd);createViewTransition=D(Db,{optional:!0});navigationErrorHandler=D(Ib,{optional:!0});routerResourcesFeature=D(xb,{optional:!0});navigationId=0;get hasRequestedNavigation(){return this.navigationId!==0}transitions;afterPreactivation=()=>se(void 0);rootComponentType=null;destroyed=!1;constructor(){let e=i=>this.events.next(new gd(i)),o=i=>this.events.next(new pd(i));this.configLoader.onLoadEndListener=o,this.configLoader.onLoadStartListener=e,this.destroyRef.onDestroy(()=>{this.destroyed=!0})}complete(){this.transitions?.complete()}handleNavigationRequest(e){let o=++this.navigationId;de(()=>{this.transitions?.next(F(S({},e),{extractedUrl:this.urlHandlingStrategy.extract(e.rawUrl),targetSnapshot:null,targetRouterState:null,guards:{canActivateChecks:[],canDeactivateChecks:[]},guardsResult:null,id:o,routesRecognizeHandler:{},beforeActivateHandler:{}}))})}setupNavigations(e){return this.transitions=new st(null),this.transitions.pipe(Bt(o=>o!==null),vt(o=>{let i=!0,r=!1,a=new AbortController,s=()=>!r&&this.currentTransition?.id===o.id;return se(o).pipe(vt(c=>{if(this.navigationId>o.id)return this.cancelNavigationTransition(o,"",pt.SupersededByNewNavigation),ct;this.currentTransition=o;let p=this.lastSuccessfulNavigation();this.currentNavigation.set({id:c.id,initialUrl:c.rawUrl,extractedUrl:c.extractedUrl,targetBrowserUrl:typeof c.extras.browserUrl=="string"?this.urlSerializer.parse(c.extras.browserUrl):c.extras.browserUrl,trigger:c.source,extras:c.extras,previousNavigation:p?F(S({},p),{previousNavigation:null}):null,abort:()=>a.abort(),routesRecognizeHandler:c.routesRecognizeHandler,beforeActivateHandler:c.beforeActivateHandler});let f=!e.navigated||this.isUpdatingInternalState()||this.isUpdatedBrowserUrl(),_=c.extras.onSameUrlNavigation??e.onSameUrlNavigation;if(!f&&_!=="reload")return this.events.next(new co(c.id,this.urlSerializer.serialize(c.rawUrl),"",ls.IgnoredSameUrlNavigation)),c.resolve(!1),ct;if(this.urlHandlingStrategy.shouldProcessUrl(c.rawUrl))return se(c).pipe(vt(C=>(this.events.next(new Ti(C.id,this.urlSerializer.serialize(C.extractedUrl),C.source,C.restoredState)),C.id!==this.navigationId?ct:Promise.resolve(C))),tE(this.environmentInjector,this.configLoader,this.rootComponentType,e.config,this.urlSerializer,this.paramsInheritanceStrategy,a.signal),xe(C=>{o.targetSnapshot=C.targetSnapshot,o.urlAfterRedirects=C.urlAfterRedirects,this.currentNavigation.update(h=>(h.finalUrl=C.urlAfterRedirects,h)),this.events.next(new us)}),vt(C=>Fe(o.routesRecognizeHandler.deferredHandle??se(void 0)).pipe(Pe(()=>C))),xe(()=>{let C=new ds(c.id,this.urlSerializer.serialize(c.extractedUrl),this.urlSerializer.serialize(c.urlAfterRedirects),c.targetSnapshot);this.events.next(C)}));if(f&&this.urlHandlingStrategy.shouldProcessUrl(c.currentRawUrl)){let{id:C,extractedUrl:h,source:P,restoredState:T,extras:A}=c,N=new Ti(C,this.urlSerializer.serialize(h),P,T);this.events.next(N);let E=db(this.rootComponentType,this.environmentInjector).snapshot;return this.currentTransition=o=F(S({},c),{targetSnapshot:E,urlAfterRedirects:h,extras:F(S({},A),{skipLocationChange:!1,replaceUrl:!1})}),this.currentNavigation.update(U=>(U.finalUrl=h,U)),se(o)}else return this.events.next(new co(c.id,this.urlSerializer.serialize(c.extractedUrl),"",ls.IgnoredByUrlHandlingStrategy)),c.resolve(!1),ct}),Pe(c=>{let p=new cd(c.id,this.urlSerializer.serialize(c.extractedUrl),this.urlSerializer.serialize(c.urlAfterRedirects),c.targetSnapshot);return this.events.next(p),this.currentTransition=o=F(S({},c),{guards:h2(c.targetSnapshot,c.currentSnapshot,this.rootContexts)}),o}),k2(c=>this.events.next(c)),vt(c=>{if(o.guardsResult=c.guardsResult,c.guardsResult&&typeof c.guardsResult!="boolean")throw bd(this.urlSerializer,c.guardsResult);let p=new ld(c.id,this.urlSerializer.serialize(c.extractedUrl),this.urlSerializer.serialize(c.urlAfterRedirects),c.targetSnapshot,!!c.guardsResult);if(this.events.next(p),!s())return ct;if(!c.guardsResult)return this.cancelNavigationTransition(c,"",pt.GuardRejected),ct;if(c.guards.canActivateChecks.length===0)return se(c);let f=new dd(c.id,this.urlSerializer.serialize(c.extractedUrl),this.urlSerializer.serialize(c.urlAfterRedirects),c.targetSnapshot);if(this.events.next(f),!s())return ct;let _=!1;return se(c).pipe(nE(this.paramsInheritanceStrategy),xe({next:()=>{_=!0;let C=new ud(c.id,this.urlSerializer.serialize(c.extractedUrl),this.urlSerializer.serialize(c.urlAfterRedirects),c.targetSnapshot);this.events.next(C)},complete:()=>{_||this.cancelNavigationTransition(c,"",pt.NoDataFromResolver)}}))}),Lf(c=>{let p=_=>{let C=[];if(_.routeConfig?._loadedComponent)_.component=_.routeConfig?._loadedComponent;else if(_.routeConfig?.loadComponent){let h=_._environmentInjector;C.push(this.configLoader.loadComponent(h,_.routeConfig).then(P=>{_.component=P}))}for(let h of _.children)C.push(...p(h));return C},f=p(c.targetSnapshot.root);return f.length===0?se(c):Fe(Promise.all(f).then(()=>c))}),vt(c=>{let{newlyCreatedRoutes:p,state:f}=p2(e.routeReuseStrategy,c.targetSnapshot,c.currentRouterState);return this.currentTransition=o=c=F(S({},c),{targetRouterState:f,newlyCreatedRoutes:p}),this.currentNavigation.update(_=>(_.targetRouterState=f,_)),se(c)}),this.routerResourcesFeature?.setupAndRunResources(a.signal)??(c=>c),Lf(()=>this.afterPreactivation()),vt(()=>{let{currentSnapshot:c,targetSnapshot:p}=o,f=this.createViewTransition?.(this.environmentInjector,c.root,p.root);return f?Fe(f).pipe(Pe(()=>o)):se(o)}),Bn(1),vt(c=>{i=!1,this.events.next(new kr);let p=o.beforeActivateHandler.deferredHandle;return p?Fe(p.then(()=>c)):se(c)}),xe(c=>{new Tf(e.routeReuseStrategy,o.targetRouterState,o.currentRouterState,p=>this.events.next(p),this.inputBindingEnabled).activate(this.rootContexts),c.newlyCreatedRoutes?.clear(),s()&&(Ab(c.targetRouterState),r=!0,this.currentNavigation.update(p=>(p.abort=sE,p)),this.lastSuccessfulNavigation.set(de(this.currentNavigation)),this.events.next(new mn(c.id,this.urlSerializer.serialize(c.extractedUrl),this.urlSerializer.serialize(c.urlAfterRedirects))),this.titleStrategy?.updateTitle(c.targetRouterState.snapshot),c.resolve(!0))}),Xr(Cb(a.signal).pipe(Bt(()=>!r&&i),xe(()=>{this.cancelNavigationTransition(o,a.signal.reason+"",pt.Aborted)}))),xe({complete:()=>{r=!0}}),Xr(this.transitionAbortWithErrorSubject.pipe(xe(c=>{throw c}))),_o(()=>{a.abort(),r||this.cancelNavigationTransition(o,"",pt.SupersededByNewNavigation),this.currentTransition?.id===o.id&&(this.currentNavigation.set(null),this.currentTransition=null)}),Ki(c=>{if(r=!0,q0(o),this.destroyed)return o.resolve(!1),ct;if(_b(c))this.events.next(new Zt(o.id,this.urlSerializer.serialize(o.extractedUrl),c.message,c.cancellationCode)),_2(c)?this.events.next(new Er(c.url,c.navigationBehaviorOptions)):o.resolve(!1);else{let p=new Ai(o.id,this.urlSerializer.serialize(o.extractedUrl),c,o.targetSnapshot??void 0);try{let f=et(this.environmentInjector,()=>this.navigationErrorHandler?.(p));if(f instanceof Ir){let{message:_,cancellationCode:C}=bd(this.urlSerializer,f);this.events.next(new Zt(o.id,this.urlSerializer.serialize(o.extractedUrl),_,C)),this.events.next(new Er(f.redirectTo,f.navigationBehaviorOptions))}else throw this.events.next(p),c}catch(f){this.options.resolveNavigationPromiseOnError?o.resolve(!1):o.reject(f)}}return ct}))}))}cancelNavigationTransition(e,o,i){q0(e);let r=new Zt(e.id,this.urlSerializer.serialize(e.extractedUrl),o,i);this.events.next(r),e.resolve(!1)}isUpdatingInternalState(){return this.currentTransition?.extractedUrl.toString()!==this.currentTransition?.currentUrlTree.toString()}isUpdatedBrowserUrl(){let e=this.urlHandlingStrategy.extract(this.urlSerializer.parse(this.location.path(!0))),o=de(this.currentNavigation),i=o?.targetBrowserUrl??o?.extractedUrl;return e.toString()!==i?.toString()&&!o?.extras.skipLocationChange}static \u0275fac=function(o){return new(o||n)};static \u0275prov=Oe({token:n,factory:n.\u0275fac})}return n})();function cE(n){return n!==as}function q0(n){for(let t of n.newlyCreatedRoutes??[])t._localInjector?.destroy(),t._localInjector=void 0;Ab(n.targetRouterState)}function Ab(n){if(!n)return;let t=e=>{e.value.pending?.set(!1),e.children.forEach(t)};t(n._root)}var Nb=new B("");var Rb=(()=>{class n{static \u0275fac=function(o){return new(o||n)};static \u0275prov=Oe({token:n,factory:()=>D(lE)})}return n})(),Od=class{shouldDetach(t){return!1}store(t,e){}shouldAttach(t){return!1}retrieve(t){return null}shouldReuseRoute(t,e){return t.routeConfig===e.routeConfig}shouldDestroyInjector(t){return!0}},lE=(()=>{class n extends Od{static \u0275fac=function(o){return new(o||n)};static \u0275prov=Oe({token:n,factory:n.\u0275fac})}return n})(),wd=(()=>{class n{urlSerializer=D(Ar);options=D(Fr,{optional:!0})||{};canceledNavigationResolution=this.options.canceledNavigationResolution||"replace";location=D(br);urlHandlingStrategy=D(xd);urlUpdateStrategy=this.options.urlUpdateStrategy||"deferred";currentUrlTree=new bt;getCurrentUrlTree(){return this.currentUrlTree}rawUrlTree=this.currentUrlTree;getRawUrlTree(){return this.rawUrlTree}createBrowserPath({finalUrl:e,initialUrl:o,targetBrowserUrl:i}){let r=e!==void 0?this.urlHandlingStrategy.merge(e,o):o,a=i??r;return a instanceof bt?this.urlSerializer.serialize(a):a}routerUrlState(e){return e?.targetBrowserUrl===void 0||e?.finalUrl===void 0?{}:{\u0275routerUrl:this.urlSerializer.serialize(e.finalUrl)}}commitTransition({targetRouterState:e,finalUrl:o,initialUrl:i}){o&&e?(this.currentUrlTree=o,this.rawUrlTree=this.urlHandlingStrategy.merge(o,i),this.routerState=e):this.rawUrlTree=i}routerState=db(null,D(Le));getRouterState(){return this.routerState}_stateMemento=this.createStateMemento();get stateMemento(){return this._stateMemento}updateStateMemento(){this._stateMemento=this.createStateMemento()}createStateMemento(){return{rawUrlTree:this.rawUrlTree,currentUrlTree:this.currentUrlTree,routerState:this.routerState}}restoredState(){return this.location.getState()}static \u0275fac=function(o){return new(o||n)};static \u0275prov=Oe({token:n,factory:()=>D(dE)})}return n})(),dE=(()=>{class n extends wd{currentPageId=0;lastSuccessfulId=-1;get browserPageId(){return this.canceledNavigationResolution!=="computed"?this.currentPageId:this.restoredState()?.\u0275routerPageId??this.currentPageId}registerNonRouterCurrentEntryChangeListener(e){return this.location.subscribe(o=>{o.type==="popstate"&&setTimeout(()=>{e(o.url,o.state,"popstate",{replaceUrl:!0})})})}handleRouterEvent(e,o){e instanceof Ti?this.updateStateMemento():e instanceof co?this.commitTransition(o):e instanceof ds?this.urlUpdateStrategy==="eager"&&(o.extras.skipLocationChange||this.setBrowserUrl(this.createBrowserPath(o),o)):e instanceof kr?(this.commitTransition(o),this.urlUpdateStrategy==="deferred"&&!o.extras.skipLocationChange&&this.setBrowserUrl(this.createBrowserPath(o),o)):e instanceof Zt&&!lb(e)?this.restoreHistory(o):e instanceof Ai?this.restoreHistory(o,!0):e instanceof mn&&(this.lastSuccessfulId=e.id,this.currentPageId=this.browserPageId)}setBrowserUrl(e,o){let{extras:i,id:r}=o,{replaceUrl:a,state:s}=i;if(this.location.isCurrentPathEqualTo(e)||a){let c=this.browserPageId,p=S(S({},s),this.generateNgRouterState(r,c,o));this.location.replaceState(e,"",p)}else{let c=S(S({},s),this.generateNgRouterState(r,this.browserPageId+1,o));this.location.go(e,"",c)}}restoreHistory(e,o=!1){if(this.canceledNavigationResolution==="computed"){let i=this.browserPageId,r=this.currentPageId-i;r!==0?this.location.historyGo(r):this.getCurrentUrlTree()===e.finalUrl&&r===0&&(this.resetInternalState(e),this.resetUrlToCurrentUrlTree())}else this.canceledNavigationResolution==="replace"&&(o&&this.resetInternalState(e),this.resetUrlToCurrentUrlTree())}resetInternalState({finalUrl:e}){this.routerState=this.stateMemento.routerState,this.currentUrlTree=this.stateMemento.currentUrlTree,this.rawUrlTree=this.urlHandlingStrategy.merge(this.currentUrlTree,e??this.rawUrlTree)}resetUrlToCurrentUrlTree(){this.location.replaceState(this.urlSerializer.serialize(this.getRawUrlTree()),"",this.generateNgRouterState(this.lastSuccessfulId,this.currentPageId))}generateNgRouterState(e,o,i){return this.canceledNavigationResolution==="computed"?S({navigationId:e,\u0275routerPageId:o},this.routerUrlState(i)):S({navigationId:e},this.routerUrlState(i))}static \u0275fac=function(o){return new(o||n)};static \u0275prov=Oe({token:n,factory:n.\u0275fac})}return n})();function Gf(n,t){n.events.pipe(Bt(e=>e instanceof mn||e instanceof Zt||e instanceof Ai||e instanceof co),Pe(e=>e instanceof mn||e instanceof co?0:(e instanceof Zt?e.code===pt.Redirect||e.code===pt.SupersededByNewNavigation:!1)?2:1),Bt(e=>e!==2),Bn(1)).subscribe(()=>{t()})}var uo=(()=>{class n{get currentUrlTree(){return this.stateManager.getCurrentUrlTree()}get rawUrlTree(){return this.stateManager.getRawUrlTree()}disposed=!1;nonRouterCurrentEntryChangeSubscription;console=D($p);stateManager=D(wd);options=D(Fr,{optional:!0})||{};pendingTasks=D(kn);urlUpdateStrategy=this.options.urlUpdateStrategy||"deferred";navigationTransitions=D(Tb);urlSerializer=D(Ar);location=D(br);urlHandlingStrategy=D(xd);injector=D(Le);_events=new ye;get events(){return this._events}get routerState(){return this.stateManager.getRouterState()}navigated=!1;routeReuseStrategy=D(Rb);injectorCleanup=D(Nb,{optional:!0});onSameUrlNavigation=this.options.onSameUrlNavigation||"ignore";config=D(Ms,{optional:!0})?.flat()??[];componentInputBindingEnabled=!!D(vd,{optional:!0});currentNavigation=this.navigationTransitions.currentNavigation.asReadonly();constructor(){this.resetConfig(this.config),this.navigationTransitions.setupNavigations(this).subscribe({error:e=>{}}),this.subscribeToNavigationEvents()}eventsSubscription=new Be;subscribeToNavigationEvents(){let e=this.navigationTransitions.events.subscribe(o=>{try{let i=this.navigationTransitions.currentTransition,r=de(this.navigationTransitions.currentNavigation);if(i!==null&&r!==null){if(this.stateManager.handleRouterEvent(o,r),o instanceof Zt&&o.code!==pt.Redirect&&o.code!==pt.SupersededByNewNavigation)this.navigated=!0;else if(o instanceof mn)this.navigated=!0,this.injectorCleanup?.(this.routeReuseStrategy,this.routerState,this.config);else if(o instanceof Er){let a=o.navigationBehaviorOptions,s=this.urlHandlingStrategy.merge(o.url,i.currentRawUrl),c=S({scroll:i.extras.scroll,browserUrl:i.extras.browserUrl,info:i.extras.info,skipLocationChange:i.extras.skipLocationChange,replaceUrl:i.extras.replaceUrl||this.urlUpdateStrategy==="eager"||cE(i.source)},a);this.scheduleNavigation(s,as,null,c,{resolve:i.resolve,reject:i.reject,promise:i.promise})}}d2(o)&&this._events.next(o)}catch(i){this.navigationTransitions.transitionAbortWithErrorSubject.next(i)}});this.eventsSubscription.add(e)}resetRootComponentType(e){this.routerState.root.component=e,this.navigationTransitions.rootComponentType=e}initialNavigation(){this.setUpLocationChangeListener(),this.navigationTransitions.hasRequestedNavigation||this.navigateToSyncWithBrowser(this.location.path(!0),as,this.stateManager.restoredState(),{replaceUrl:!0})}setUpLocationChangeListener(){this.nonRouterCurrentEntryChangeSubscription??=this.stateManager.registerNonRouterCurrentEntryChangeListener((e,o,i,r)=>{this.navigateToSyncWithBrowser(e,i,o,r)})}navigateToSyncWithBrowser(e,o,i,r){let a=i?.navigationId?i:null,s=i?.\u0275routerUrl??e;if(i?.\u0275routerUrl&&(r=F(S({},r),{browserUrl:e})),i){let p=S({},i);delete p.navigationId,delete p.\u0275routerPageId,delete p.\u0275routerUrl,Object.keys(p).length!==0&&(r.state=p)}let c=this.parseUrl(s);this.scheduleNavigation(c,o,a,r).catch(p=>{this.disposed||this.injector.get(Nt)(p)})}get url(){return this.serializeUrl(this.currentUrlTree)}getCurrentNavigation(){return de(this.navigationTransitions.currentNavigation)}get lastSuccessfulNavigation(){return this.navigationTransitions.lastSuccessfulNavigation}resetConfig(e){this.config=e.map(Hf),this.navigated=!1}ngOnDestroy(){this.dispose()}dispose(){this._events.unsubscribe(),this.navigationTransitions.complete(),this.nonRouterCurrentEntryChangeSubscription?.unsubscribe(),this.nonRouterCurrentEntryChangeSubscription=void 0,this.disposed=!0,this.eventsSubscription.unsubscribe()}createUrlTree(e,o={}){let{relativeTo:i,queryParams:r,fragment:a,queryParamsHandling:s,preserveFragment:c}=o,p=c?this.currentUrlTree.fragment:a,f=null;switch(s??this.options.defaultQueryParamsHandling){case"merge":f=S(S({},this.currentUrlTree.queryParams),r);break;case"preserve":f=this.currentUrlTree.queryParams;break;default:f=r||null}f!==null&&(f=this.removeEmptyProps(f));let _;try{let C=i?i.snapshot:this.routerState.snapshot.root;_=rb(C)}catch(C){(typeof e[0]!="string"||e[0][0]!=="/")&&(e=[]),_=this.currentUrlTree.root}return ab(_,e,f,p??null,this.urlSerializer)}navigateByUrl(e,o={skipLocationChange:!1}){let i=Vo(e)?e:this.parseUrl(e),r=this.urlHandlingStrategy.merge(i,this.rawUrlTree);return this.scheduleNavigation(r,as,null,o)}navigate(e,o={skipLocationChange:!1}){return uE(e),this.navigateByUrl(this.createUrlTree(e,o),o)}serializeUrl(e){return this.urlSerializer.serialize(e)}parseUrl(e){try{return this.urlSerializer.parse(e)}catch(o){return this.console.warn(Wn(4018,!1)),this.urlSerializer.parse("/")}}isActive(e,o){let i;if(o===!0?i=S({},Vf):o===!1?i=S({},Sr):i=S(S({},Sr),o),Vo(e))return yf(this.currentUrlTree,e,i);let r=this.parseUrl(e);return yf(this.currentUrlTree,r,i)}removeEmptyProps(e){return Object.entries(e).reduce((o,[i,r])=>(r!=null&&(o[i]=r),o),{})}scheduleNavigation(e,o,i,r,a){if(this.disposed)return Promise.resolve(!1);let s,c,p;a?(s=a.resolve,c=a.reject,p=a.promise):p=new Promise((_,C)=>{s=_,c=C});let f=this.pendingTasks.add();return Gf(this,()=>{queueMicrotask(()=>this.pendingTasks.remove(f))}),this.navigationTransitions.handleNavigationRequest({source:o,restoredState:i,currentUrlTree:this.currentUrlTree,currentRawUrl:this.currentUrlTree,rawUrl:e,extras:r,resolve:s,reject:c,promise:p,currentSnapshot:this.routerState.snapshot,currentRouterState:this.routerState}),p.catch(Promise.reject.bind(Promise))}static \u0275fac=function(o){return new(o||n)};static \u0275prov=Oe({token:n,factory:n.\u0275fac})}return n})();function uE(n){for(let t=0;t{class n{router=D(uo);stateManager=D(wd);fragment=x("");queryParams=x({});path=x("");serializer=D(Ar);constructor(){this.updateState(),this.router.events?.subscribe(e=>{e instanceof mn&&this.updateState()})}updateState(){let{fragment:e,root:o,queryParams:i}=this.stateManager.getCurrentUrlTree();this.fragment.set(e),this.queryParams.set(i),this.path.set(this.serializer.serialize(new bt(o)))}static \u0275fac=function(o){return new(o||n)};static \u0275prov=Oe({token:n,factory:n.\u0275fac})}return n})(),Lr=(()=>{class n{router;route;tabIndexAttribute;renderer;el;locationStrategy;hrefAttributeValue=D(new Tl("href"),{optional:!0});reactiveHref=Wp(()=>this.isAnchorElement?this.computeHref(this._urlTree()):this.hrefAttributeValue);get href(){return de(this.reactiveHref)}set href(e){this.reactiveHref.set(e)}set target(e){this._target.set(e)}get target(){return de(this._target)}_target=x(void 0);set queryParams(e){this._queryParams.set(e)}get queryParams(){return de(this._queryParams)}_queryParams=x(void 0,{equal:()=>!1});set fragment(e){this._fragment.set(e)}get fragment(){return de(this._fragment)}_fragment=x(void 0);set queryParamsHandling(e){this._queryParamsHandling.set(e)}get queryParamsHandling(){return de(this._queryParamsHandling)}_queryParamsHandling=x(void 0);set state(e){this._state.set(e)}get state(){return de(this._state)}_state=x(void 0,{equal:()=>!1});set info(e){this._info.set(e)}get info(){return de(this._info)}_info=x(void 0,{equal:()=>!1});set relativeTo(e){this._relativeTo.set(e)}get relativeTo(){return de(this._relativeTo)}_relativeTo=x(void 0);set preserveFragment(e){this._preserveFragment.set(e)}get preserveFragment(){return de(this._preserveFragment)}_preserveFragment=x(!1);set skipLocationChange(e){this._skipLocationChange.set(e)}get skipLocationChange(){return de(this._skipLocationChange)}_skipLocationChange=x(!1);set replaceUrl(e){this._replaceUrl.set(e)}get replaceUrl(){return de(this._replaceUrl)}_replaceUrl=x(!1);browserUrl=Al(void 0);isAnchorElement;onChanges=new ye;applicationErrorHandler=D(Nt);options=D(Fr,{optional:!0});reactiveRouterState=D(pE);constructor(e,o,i,r,a,s){this.router=e,this.route=o,this.tabIndexAttribute=i,this.renderer=r,this.el=a,this.locationStrategy=s;let c=a.nativeElement.tagName?.toLowerCase();this.isAnchorElement=c==="a"||c==="area"||!!(typeof customElements=="object"&&customElements.get(c)?.observedAttributes?.includes?.("href"))}setTabIndexIfNotOnNativeEl(e){this.tabIndexAttribute!=null||this.isAnchorElement||this.applyAttributeValue("tabindex",e)}ngOnChanges(e){this.onChanges.next(this)}routerLinkInput=x(null);set routerLink(e){e==null?(this.routerLinkInput.set(null),this.setTabIndexIfNotOnNativeEl(null)):(Vo(e)?this.routerLinkInput.set(e):this.routerLinkInput.set(Array.isArray(e)?e:[e]),this.setTabIndexIfNotOnNativeEl("0"))}onClick(e,o,i,r,a){let s=this._urlTree();if(s===null||this.isAnchorElement&&(e!==0||o||i||r||a||typeof this.target=="string"&&this.target!="_self"))return!0;let c=this.browserUrl(),p=S({skipLocationChange:this.skipLocationChange,replaceUrl:this.replaceUrl,state:this.state,info:this.info},c!==void 0&&{browserUrl:c});return this.router.navigateByUrl(s,p)?.catch(f=>{this.applicationErrorHandler(f)}),!this.isAnchorElement}ngOnDestroy(){}applyAttributeValue(e,o){let i=this.renderer,r=this.el.nativeElement;o!==null?i.setAttribute(r,e,o):i.removeAttribute(r,e)}_urlTree=I(()=>{this.reactiveRouterState.path(),this._preserveFragment()&&this.reactiveRouterState.fragment();let e=i=>i==="preserve"||i==="merge";(e(this._queryParamsHandling())||e(this.options?.defaultQueryParamsHandling))&&this.reactiveRouterState.queryParams();let o=this.routerLinkInput();return o===null||!this.router.createUrlTree?null:Vo(o)?o:this.router.createUrlTree(o,{relativeTo:this._relativeTo()!==void 0?this._relativeTo():this.route,queryParams:this._queryParams(),fragment:this._fragment(),queryParamsHandling:this._queryParamsHandling(),preserveFragment:this._preserveFragment()})},{equal:(e,o)=>this.computeHref(e)===this.computeHref(o)});get urlTree(){return de(this._urlTree)}computeHref(e){return e!==null&&this.locationStrategy?this.locationStrategy?.prepareExternalUrl(this.router.serializeUrl(e))??"":null}static \u0275fac=function(o){return new(o||n)(le(uo),le(lo),Ra("tabindex"),le(wt),le(Mt),le(Mr))};static \u0275dir=qe({type:n,selectors:[["","routerLink",""]],hostVars:2,hostBindings:function(o,i){o&1&&k("click",function(a){return i.onClick(a.button,a.ctrlKey,a.shiftKey,a.altKey,a.metaKey)}),o&2&&Wt("href",i.reactiveHref(),_p)("target",i._target())},inputs:{target:"target",queryParams:"queryParams",fragment:"fragment",queryParamsHandling:"queryParamsHandling",state:"state",info:"info",relativeTo:"relativeTo",preserveFragment:[2,"preserveFragment","preserveFragment",Si],skipLocationChange:[2,"skipLocationChange","skipLocationChange",Si],replaceUrl:[2,"replaceUrl","replaceUrl",Si],browserUrl:[1,"browserUrl"],routerLink:"routerLink"},features:[In]})}return n})(),qf=(()=>{class n{router;element;renderer;cdr;links;classes=[];routerEventsSubscription;linkInputChangesSubscription;_isActive=!1;get isActive(){return this._isActive}routerLinkActiveOptions={exact:!1};ariaCurrentWhenActive;isActiveChange=new Ke;link=D(Lr,{optional:!0});constructor(e,o,i,r){this.router=e,this.element=o,this.renderer=i,this.cdr=r,this.routerEventsSubscription=e.events.subscribe(a=>{a instanceof mn&&this.update()})}ngAfterContentInit(){se(this.links.changes,se(null)).pipe(qi()).subscribe(e=>{this.update(),this.subscribeToEachLinkOnChanges()})}subscribeToEachLinkOnChanges(){this.linkInputChangesSubscription?.unsubscribe();let e=[...this.links.toArray(),this.link].filter(o=>!!o).map(o=>o.onChanges);this.linkInputChangesSubscription=Fe(e).pipe(qi()).subscribe(o=>{this._isActive!==this.isLinkActive(this.router)(o)&&this.update()})}set routerLinkActive(e){if(e==null){this.classes=[];return}let o=Array.isArray(e)?e:e.split(" ");this.classes=o.filter(i=>!!i)}ngOnChanges(e){this.update()}ngOnDestroy(){this.routerEventsSubscription.unsubscribe(),this.linkInputChangesSubscription?.unsubscribe()}update(){!this.links||!this.router.navigated||this.routerLinkActiveOptions===null&&!this._isActive||queueMicrotask(()=>{let e=this.hasActiveLinks();this.classes.forEach(o=>{e?this.renderer.addClass(this.element.nativeElement,o):this.renderer.removeClass(this.element.nativeElement,o)}),e&&this.ariaCurrentWhenActive!==void 0?this.renderer.setAttribute(this.element.nativeElement,"aria-current",this.ariaCurrentWhenActive.toString()):this.renderer.removeAttribute(this.element.nativeElement,"aria-current"),this._isActive!==e&&(this._isActive=e,this.cdr.markForCheck(),this.isActiveChange.emit(e))})}isLinkActive(e){let o=this.routerLinkActiveOptions;if(o===null)return()=>!1;let i;return o===void 0?i=S({},Sr):fE(o)?i=o:o.exact??!1?i=S({},Vf):i=S({},Sr),r=>{let a=r.urlTree;return a?de(jf(a,e,i)):!1}}hasActiveLinks(){let e=this.isLinkActive(this.router);return this.link&&e(this.link)||this.links.some(e)}static \u0275fac=function(o){return new(o||n)(le(uo),le(Mt),le(wt),le(oo))};static \u0275dir=qe({type:n,selectors:[["","routerLinkActive",""]],contentQueries:function(o,i,r){if(o&1&&El(r,Lr,5),o&2){let a;eo(a=to())&&(i.links=a)}},inputs:{routerLinkActiveOptions:"routerLinkActiveOptions",ariaCurrentWhenActive:"ariaCurrentWhenActive",routerLinkActive:"routerLinkActive"},outputs:{isActiveChange:"isActiveChange"},exportAs:["routerLinkActive"],features:[In]})}return n})();function fE(n){let t=n;return!!(t.paths||t.matrixParams||t.queryParams||t.fragment)}var mE=new B("");function Wf(n,...t){return bo([{provide:Ms,multi:!0,useValue:n},{provide:lo,useFactory:_E},{provide:kl,multi:!0,useFactory:hE},t.map(e=>e.\u0275providers)])}function _E(){return D(uo).routerState.root}function hE(){let n=D(Ct);return t=>{let e=n.get(Xn);if(t!==e.components[0])return;let o=n.get(uo),i=n.get(CE);n.get(ME)===1&&o.initialNavigation(),n.get(bE,null,{optional:!0})?.setUpPreloading(),n.get(mE,null,{optional:!0})?.init(),o.resetRootComponentType(e.componentTypes[0]),i.closed||(i.next(),i.complete(),i.unsubscribe())}}var CE=new B("",{factory:()=>new ye}),ME=new B("",{factory:()=>1});var bE=new B("");var Gb=(()=>{class n{_renderer;_elementRef;onChange=e=>{};onTouched=()=>{};constructor(e,o){this._renderer=e,this._elementRef=o}setProperty(e,o){this._renderer.setProperty(this._elementRef.nativeElement,e,o)}registerOnTouched(e){this.onTouched=e}registerOnChange(e){this.onChange=e}setDisabledState(e){this.setProperty("disabled",e)}static \u0275fac=function(o){return new(o||n)(le(wt),le(Mt))};static \u0275dir=qe({type:n})}return n})(),Td=(()=>{class n extends Gb{static \u0275fac=(()=>{let e;return function(i){return(e||(e=ko(n)))(i||n)}})();static \u0275dir=qe({type:n,features:[gn]})}return n})(),xs=new B(""),PE={provide:xs,useExisting:on(()=>em),multi:!0},em=(()=>{class n extends Td{writeValue(e){this.setProperty("checked",e)}static \u0275fac=(()=>{let e;return function(i){return(e||(e=ko(n)))(i||n)}})();static \u0275dir=qe({type:n,selectors:[["input","type","checkbox","formControlName","",3,"ngNoCva",""],["input","type","checkbox","formControl","",3,"ngNoCva",""],["input","type","checkbox","ngModel","",3,"ngNoCva",""]],hostBindings:function(o,i){o&1&&k("change",function(a){return i.onChange(a.target.checked)})("blur",function(){return i.onTouched()})},standalone:!1,features:[To([PE]),gn]})}return n})(),OE={provide:xs,useExisting:on(()=>zr),multi:!0};function vE(){let n=Kt()?Kt().getUserAgent():"";return/android (\d+)/.test(n.toLowerCase())}var yE=new B(""),zr=(()=>{class n extends Gb{_compositionMode;_composing=!1;constructor(e,o,i){super(e,o),this._compositionMode=i,this._compositionMode==null&&(this._compositionMode=!vE())}writeValue(e){let o=e??"";this.setProperty("value",o)}_handleInput(e){(!this._compositionMode||this._compositionMode&&!this._composing)&&this.onChange(e)}_compositionStart(){this._composing=!0}_compositionEnd(e){this._composing=!1,this._compositionMode&&this.onChange(e)}static \u0275fac=function(o){return new(o||n)(le(wt),le(Mt),le(yE,8))};static \u0275dir=qe({type:n,selectors:[["input","formControlName","",3,"type","checkbox",3,"ngNoCva",""],["textarea","formControlName","",3,"ngNoCva",""],["input","formControl","",3,"type","checkbox",3,"ngNoCva",""],["textarea","formControl","",3,"ngNoCva",""],["input","ngModel","",3,"type","checkbox",3,"ngNoCva",""],["textarea","ngModel","",3,"ngNoCva",""],["","ngDefaultControl",""]],hostBindings:function(o,i){o&1&&k("input",function(a){return i._handleInput(a.target.value)})("blur",function(){return i.onTouched()})("compositionstart",function(){return i._compositionStart()})("compositionend",function(a){return 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null}_assignValidators(t){this._rawValidators=Array.isArray(t)?t.slice():t,this._composedValidatorFn=VE(this._rawValidators),this._updateHasRequiredValidator()}_assignAsyncValidators(t){this._rawAsyncValidators=Array.isArray(t)?t.slice():t,this._composedAsyncValidatorFn=$E(this._rawAsyncValidators)}_updateHasRequiredValidator(){de(()=>this._hasRequired.set(this.hasValidator(Kf.required)))}};function zE(n){return n.tagName==="INPUT"||n.tagName==="SELECT"||n.tagName==="TEXTAREA"}function BE(n,t,e,o){switch(e){case"name":n.setAttribute(t,e,o);break;case"disabled":case"readonly":case"required":o?n.setAttribute(t,e,""):n.removeAttribute(t,e);break;case"max":case"min":case"minLength":case"maxLength":o!==void 0?n.setAttribute(t,e,o.toString()):n.removeAttribute(t,e);break}}var Jf=class{kind;context;control;message;constructor({kind:t,context:e,control:o}){this.kind=t,this.context=e,this.control=o}};var HE=(()=>{class n{_validator=kd;_onChange;_enabled;ngOnChanges(e){if(this.inputName in 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this._selectedValueAccessor??=eD(this,this.rawValueAccessors)}parseErrorsValidator=null;renderer;injector;requiredValidatorViaDi;subscription;customControlBindings=null;constructor(t,e,o){super(),this.injector=t,this.renderer=e,this.rawValueAccessors=o,this.injector?.get(Ae)?.onDestroy(()=>{this.removeParseErrorsValidator(this.control),this.subscription?.unsubscribe()})}setupCustomControl(){this.subscription?.unsubscribe();let t=this.injector?.get(oo);if(!this.control||!t)return;let e=t.markForCheck.bind(t);this.subscription=new Be,this.subscription.add(this.control.valueChanges.subscribe(e)),this.subscription.add(this.control.statusChanges.subscribe(e)),this.resetSubscription?.unsubscribe(),this.resetSubscription=void 0,this.userOnReset&&(this.resetSubscription=this.control.events.subscribe(o=>{o instanceof 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e=go(t.payload),o=go(t.result||e?.result),i=go(t.args||e?.args),r=o?.post_image_name||o?.post_screenshot_name||o?.post_screenshot||e?.post_image_name||e?.post_screenshot_name||e?.post_screenshot||i?.post_image_name||i?.post_screenshot_name||i?.post_screenshot||t.post_image_name||t.post_screenshot_name||t.post_screenshot||t.after_screenshot;return r?String(r):null}function mD(n){if(!n)return null;if(n.failed_screenshot)return String(n.failed_screenshot);if(n.failure_screenshot)return String(n.failure_screenshot);if(n.failed_post_image_name)return String(n.failed_post_image_name);if(Array.isArray(n.generic_tools))for(let t of n.generic_tools){let e=ke(t),o=go(e?.payload),i=go(e?.args||o?.args),r=String(e?.name||e?.agent_name||"").toLowerCase();if(i?.post_screenshot_name)return String(i.post_screenshot_name);if(i?.post_screenshot&&(r.includes("failure")||r.includes("validator")||r.includes("diagnos")))return 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e=_D(n);if(!t)return{pre:n?.pre_image_name||n?.pre_screenshot||null,post:n?.post_image_name||n?.post_screenshot||null,hasExplicitPost:!!(n?.post_image_name||n?.post_screenshot)};let o=ke(t);if(e.has(t))return e.get(t);if(o&&e.has(o))return e.get(o);if(o?.trace_id&&e.has(o.trace_id))return e.get(o.trace_id);let i=$P(o),r=jd(o),a=i||n?.pre_image_name||n?.pre_screenshot||null,s=r||(fD(t,n)?null:n?.post_image_name||n?.post_screenshot||null);return{pre:a,post:s,hasExplicitPost:!!r}}function Cm(n,t){let e=zP(n,t);return fm(e.pre)}function Mm(n,t){let e=zP(n,t),o=fm(e.post),i=fm(e.pre);return o&&i&&o===i&&!e.hasExplicitPost?null:o}function BP(n){if(!Array.isArray(n)||n.length===0)return[];let t=[];for(let s of n)s&&((s.type==="step_updated"||s.type==="step_recorded"||s.type==="step")&&s.data?t.push(s.data):(s.step_number!==void 0||s.step_id!==void 0)&&t.push(s));let e=[],o=new Map,i=new Map;for(let s of t){let c=s.step_id!==void 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this.activeSessionTracking.forEach((f,_)=>{s.has(_)||s.set(_,F(S({},f),{status:"running"}))}),Array.from(s.values()).sort((f,_)=>_.start_time-f.start_time)});currentSessionId=x(null);sessionLogs=x([]);isSessionContentLoading=x(!1);agentStatus=x("idle");runningSessionId=x(null);runningGoal=x(null);isPaused=x(!1);pausedError=x(null);isRetrying=x(!1);retryMessage=x(null);activeModel=x(null);userPinnedSessionId=x(null);startupProgressBySession=x({});pendingStartupProgress=x([]);currentStartupProgress=I(()=>{let t=this.currentSessionId();if(t){let e=String(t).trim().toLowerCase(),o=this.startupProgressBySession(),i=o[t];if(i?.length)return i;let r=Object.entries(o).find(([a])=>a.trim().toLowerCase()===e);if(r?.[1]?.length)return r[1]}return this.pendingStartupProgress()});currentNotes=x({});selectedNoteKey=x("task_plan.md");activeTab=x("tasks");isVideoWindowOpen=x(!1);isVideoMinimized=x(!1);activeVideoUrl=x(null);activeVideoSegments=x([]);activeVideoTitle=x("");isVideoLoading=x(!1);recordingPlaybackStatus=x("idle");recordingPlaybackMessage=x("");shouldAutoplayVideo=x(!1);videoSeekRequest=x(null);stepSeekRequest=x(null);playerMode=x("video");activeVideoSessionId=null;videoSeekRequestId=0;stepSeekRequestId=0;videoRequestGeneration=0;videoRetryTimer=null;videoWaitStartedAt=0;stepLogsForReplay=I(()=>this.sessionLogs().filter(t=>t&&(t.type==="step_updated"||t.type==="step_recorded")),{equal:(t,e)=>t.length===e.length&&t.every((o,i)=>o===e[i])});currentSessionStepFrames=I(()=>BP(this.stepLogsForReplay()));hasCurrentSessionStepFrames=I(()=>this.currentSessionStepFrames().length>0);setPlayerMode(t){this.playerMode.set(t)}togglePlayerMode(){this.playerMode.update(t=>t==="video"?"steps":"video")}requestStepSeek(t){this.stepSeekRequestId++,this.stepSeekRequest.set({index:t,requestId:this.stepSeekRequestId})}clearUserPinnedSession(){this.userPinnedSessionId.set(null)}currentSession=I(()=>{let t=this.currentSessionId();return t&&this.sessions().find(e=>e.session_id===t)||null});isCurrentSessionRunning=I(()=>{let t=this.currentSessionId();if(!t)return!1;let e=this.currentSession();return e?e.status==="running"||e.status==="paused":!!((this.agentStatus()==="running"||this.agentStatus()==="paused")&&this.runningSessionId()===t||this.activeTasks().some(i=>i.session_id===t))});currentSessionVideoUrl=I(()=>{let t=this.currentSessionId();return t&&this.sessions().find(o=>o.session_id===t)?.video_url||null});currentSessionRecordingStatus=I(()=>{let e=this.currentSession()?.recording_status;return e==="recording"||e==="finalizing"||e==="processing"?"processing":e});eventSource=null;statusInterval=null;sessionLoadGeneration=0;sessionSnapshotRequestId=0;sessionSnapshotAppliedId=0;pendingSnapshotRequests=new Set;pendingStreamChunks=new Map;streamFlushTimer=null;lastQueueSignature=null;lastActiveTasksSignature=null;lastPersistedSessionsJson=null;onVisibilityChange=()=>{typeof document<"u"&&!document.hidden&&(this.fetchStatus(),this.fetchSessions())};constructor(){this.restoreSessionsCache(),this.fetchSessions(),this.startStatusPolling(),this.ensureLiveStream(),typeof document<"u"&&document.addEventListener("visibilitychange",this.onVisibilityChange),D(Ae).onDestroy(()=>this.destroy())}isRunningTask=I(()=>this.agentStatus()==="running"||this.agentStatus()==="paused"?!0:this.sessions().some(t=>t.status==="running"||t.status==="paused"));getProTuningDefaults(){return this.http.get("/api/run/defaults")}runTask(t,e="flash",o,i,r){return new ie(a=>{let s={stage:"submitting",message:"Submitting the task",timestamp:Date.now()/1e3};this.pendingStartupProgress.set([s]);let c={goal:t,profile:e};o&&o.trim()&&(c.expected_output=o.trim()),i!==void 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t=="string"&&t.trim()?o=t.trim():o=this.currentSessionId()||this.runningSessionId()||null,!i&&!o&&(o=this.sessions().find(c=>c.status==="running"||c.status==="paused")?.session_id||null),o&&this.setSessionStatus(o,"cancelled");let r=this.sessions().filter(c=>(c.status==="running"||c.status==="paused")&&c.session_id!==o);i||r.length===0?(this.agentStatus.set("idle"),this.runningSessionId.set(null),this.runningGoal.set(null)):this.runningSessionId()===o&&(this.runningSessionId.set(r[0].session_id),this.runningGoal.set(r[0].initial_goal||null)),this.isPaused.set(!1),this.pausedError.set(null),this.isRetrying.set(!1),this.invalidateStatusSignatures(),i&&this.pendingQueue.set([]),(!o||this.currentSessionId()===o)&&(this.flushStreamChunks(),this.sessionLogs.update(c=>c.some(p=>p.type==="llm_stream"&&!p.data?.isCompleted)?c.map(p=>p.type==="llm_stream"&&!p.data?.isCompleted?F(S({},p),{data:F(S({},p.data),{isCompleted:!0})}):p):c)),o&&this.activeTasks.update(c=>c.filter(p=>p.session_id!==o));let a=`/api/stop?all=${i}`;!i&&o&&(a+=`&session_id=${encodeURIComponent(o)}`);let s={all:i};o&&(s.session_id=o),this.http.post(a,s).subscribe({next:()=>{this.fetchStatus(),this.fetchSessions()},error:c=>{console.error("Failed to 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backend:",t)}})}deleteSession(t){if(this.invalidateStatusSignatures(),this.rawSessions.update(e=>e.filter(o=>o.session_id!==t)),this.persistSessionsCache(this.rawSessions()),this.pendingQueue.update(e=>e.filter(o=>o.session_id!==t)),this.userPinnedSessionId()===t&&this.userPinnedSessionId.set(null),this.currentSessionId()===t){this.selectSession("",!1),this.isVideoWindowOpen()&&this.closeVideoPlayer();let e=this.runningSessionId();e&&this.agentStatus()==="running"&&this.selectSession(e,!1)}return new ie(e=>{this.http.post(`/api/sessions/${t}/delete`,{}).subscribe({next:o=>{this.fetchSessions(),this.fetchStatus(),e.next(o),e.complete()},error:o=>{console.error(`Failed to delete session ${t}:`,o),this.fetchSessions(),this.fetchStatus(),e.error(o)}})})}clearAllHistory(){return 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o=++this.sessionLoadGeneration;this.pendingSnapshotRequests.clear(),this.discardPendingStreamChunks(),this.sessionSnapshotAppliedId=0,this.isSessionContentLoading.set(!0),this.currentSessionId.set(t),this.sessionLogs.set([]),this.activePauseCardKey=null,this.isPaused.set(!1),this.pausedError.set(null),this.fetchNotes(t),this.fetchChecks(t),this.updateModelForCurrentView(),this.isVideoWindowOpen()&&this.openVideoPlayer(t),console.debug(`Selecting session: ${t}`),this.backfillSessionSteps(t,o),this.ensureLiveStream()}ensureLiveStream(){this.eventSource||(console.debug("Establishing persistent unified live stream via /api/stream"),this.zone.runOutsideAngular(()=>{this.eventSource=new EventSource("/api/stream"),this.eventSource.addEventListener("info",()=>{let e=this.currentSessionId();e&&this.backfillSessionSteps(e)}),this.eventSource.addEventListener("keep-alive",()=>{}),["llm_stream","trace_recorded","step_recorded","step_updated","background_tasks_updated","task_paused","task_resumed","llm_retrying","startup_progress","session_started","session_ended","recording_ready","recording_failed","checker_event"].forEach(e=>{this.eventSource?.addEventListener(e,o=>{try{let i=JSON.parse(o.data),r=i?.session_id;if(e!=="llm_stream"&&this.flushStreamChunks(),e==="recording_ready"||e==="recording_failed"){this.isVideoWindowOpen()&&r&&String(r)===String(this.activeVideoSessionId)&&(e==="recording_ready"?this.refreshActiveRecording(!0):(this.cancelVideoRetry(),this.isVideoLoading.set(!1),this.activeVideoUrl.set(null),this.activeVideoSegments.set([]),this.recordingPlaybackStatus.set("failed"),this.recordingPlaybackMessage.set(i?.error||"Recording finalization failed.")));return}if(e==="background_tasks_updated"){this.fetchStatus();return}if(e==="session_started"){this.agentStatus.set("running"),i?.session_id&&this.runningSessionId.set(i.session_id),i?.initial_goal&&this.runningGoal.set(i.initial_goal),this.fetchSessions(),!this.userPinnedSessionId()&&i?.session_id&&this.selectSession(i.session_id,!1);return}if(e==="session_ended"){let s=r||this.runningSessionId();s&&(this.applySessionEndedStatus(s,i),this.invalidateStatusSignatures(),this.activeTasks.update(p=>p.filter(f=>f.session_id!==s)));let c=this.activeTasks();if(c.length>0)this.agentStatus.set("running"),this.runningSessionId.set(c[0].session_id),this.runningGoal.set(c[0].goal||null);else if(this.pendingQueue().length>0){let p=this.pendingQueue()[0];this.agentStatus.set("running"),this.runningSessionId.set(p.session_id),this.runningGoal.set(p.initial_goal||null)}else this.agentStatus.set("idle"),this.runningSessionId.set(null),this.runningGoal.set(null);this.isRetrying.set(!1),this.isPaused.set(!1),this.fetchSessions(),this.fetchStatus(),s&&(this.fetchNotes(s),String(s)===String(this.currentSessionId()||"")&&this.fetchChecks(s),this.isVideoWindowOpen()&&this.activeVideoSessionId===s&&this.recordingPlaybackStatus()==="live"&&this.beginRecordingFinalization(s)),this.updateModelForCurrentView();return}if(e==="startup_progress"){let s=r||this.currentSessionId();if(s){this.appendStartupProgress(i,s);let c=this.currentSessionId();!this.userPinnedSessionId()&&(!c||String(s).trim().toLowerCase()!==String(c).trim().toLowerCase())&&(this.agentStatus.set("running"),this.runningSessionId.set(s),this.selectSession(s,!1))}return}let a=this.currentSessionId();if(r&&a&&String(r).trim().toLowerCase()!==String(a).trim().toLowerCase())return;if(e==="llm_retrying"){this.isRetrying.set(!0);let s=Number(i.attempt||0),c=Number(i.max_retries||0),p=Number(i.delay||0),f=s&&c?` (Attempt ${s}/${c})`:"",_=p>0?`; retrying in ${p.toFixed(2).replace(/\.00$/,"")}s`:"";this.retryMessage.set(`AI service is temporarily busy${f}${_}...`),a&&this.appendLiveLLMRetryTrace(i,a);return}if(e==="task_paused"){if(this.isPaused.set(!0),this.isRetrying.set(!1),this.agentStatus.set("paused"),a){this.runningSessionId.set(a),this.setSessionStatus(a,"paused");let s=i.error||"AI call failed";this.pausedError.set(s),this.appendPausedErrorCard(s,a,i.timestamp,i.step_id,i)}return}if(e==="task_resumed"){this.isPaused.set(!1),this.isRetrying.set(!1),this.pausedError.set(null),a&&this.runningSessionId()===a&&(this.agentStatus.set("running"),this.setSessionStatus(a,"running")),this.activePauseCardKey=null;return}if((e==="step_updated"||e==="step_recorded"||e==="llm_stream")&&this.isRetrying.set(!1),e==="llm_stream"?this.queueStreamChunk(i):this.sessionLogs.update(s=>{let p=s.some(C=>C.type==="llm_stream"&&!C.data.isCompleted)?s.map(C=>C.type==="llm_stream"&&!C.data.isCompleted?F(S({},C),{data:F(S({},C.data),{isCompleted:!0})}):C):[...s],f=typeof i?.timestamp=="number"?new Date(i.timestamp*1e3).toISOString():new Date().toISOString(),_={type:e,timestamp:f,data:i};if(e==="trace_recorded"&&i?.trace_id){let C=p.findIndex(h=>h.type==="trace_recorded"&&h.data?.trace_id===i.trace_id);if(C>-1){let h=[...p];return h[C]=_,h}}return[...p,_]}),e==="trace_recorded"&&i){let s=i.name||"";if(["save_note","read_note","update_note","append_note","list_notes","outputter"].includes(s.toLowerCase())){let c=this.currentSessionId();c&&this.fetchNotes(c)}}}catch(i){console.error(`Failed to parse ${e} event data:`,i),this.sessionLogs.update(r=>[...r,{type:e,timestamp:new Date().toISOString(),data:o.data}])}})}),this.eventSource.onerror=e=>{console.warn("Persistent live stream issue, browser will auto-reconnect:",e)}}))}queueStreamChunk(t){let e=t.execution_id,o=t.step_id,i=t.parent_trace_id||null,r=t.stream_type||"text",a=`${e}|${r}`,s=this.pendingStreamChunks.get(a);if(s?(s.chunk+=t.chunk,o&&(s.stepId=o),i&&(s.parentTraceId=i)):this.pendingStreamChunks.set(a,{execId:e,stepId:o,parentTraceId:i,streamType:r,chunk:t.chunk}),!this.streamFlushTimer){let c=typeof document<"u"&&document.hidden?500:80;this.streamFlushTimer=setTimeout(()=>this.flushStreamChunks(),c)}}discardPendingStreamChunks(){this.pendingStreamChunks?.clear(),this.streamFlushTimer&&(clearTimeout(this.streamFlushTimer),this.streamFlushTimer=null)}flushStreamChunks(){if(this.streamFlushTimer&&(clearTimeout(this.streamFlushTimer),this.streamFlushTimer=null),!this.pendingStreamChunks?.size)return;let t=Array.from(this.pendingStreamChunks.values());this.pendingStreamChunks.clear(),this.sessionLogs.update(e=>{let o=[...e];for(let i of t){let r=o.findIndex(a=>a.type==="llm_stream"&&a.data.execution_id===i.execId&&(a.data.stream_type||"text")===i.streamType);if(r>-1){let a=o[r];o[r]=F(S({},a),{data:F(S({},a.data),{text:a.data.text+i.chunk,step_id:i.stepId||a.data.step_id,parent_trace_id:i.parentTraceId||a.data.parent_trace_id||null})})}else o=o.map(a=>a.type==="llm_stream"&&(a.data.stream_type||"text")===i.streamType&&!a.data.isCompleted&&(a.data.parent_trace_id||null)===(i.parentTraceId||null)?F(S({},a),{data:F(S({},a.data),{isCompleted:!0})}):a),o.push({type:"llm_stream",timestamp:new Date().toISOString(),data:{execution_id:i.execId,step_id:i.stepId,parent_trace_id:i.parentTraceId||null,text:i.chunk,stream_type:i.streamType,isCompleted:!1}})}return o})}backfillSessionSteps(t,e=this.sessionLoadGeneration){let o=++this.sessionSnapshotRequestId;this.pendingSnapshotRequests.add(o),this.http.get(`/api/sessions/${t}/steps`).subscribe({next:i=>{if(this.pendingSnapshotRequests.delete(o),this.currentSessionId()!==t||e!==this.sessionLoadGeneration||o({type:"step_updated",session_id:t,timestamp:new Date((a.timestamp||Date.now()/1e3)*1e3).toISOString(),data:a,history_snapshot:!0}));this.sessionLogs.update(a=>[...r,...a.filter(s=>!s.history_snapshot)]),this.isSessionContentLoading.set(!1)},error:i=>{this.pendingSnapshotRequests.delete(o),console.error("Failed to backfill session steps:",i),this.currentSessionId()===t&&e===this.sessionLoadGeneration&&this.pendingSnapshotRequests.size===0&&this.isSessionContentLoading.set(!1)}}),this.http.get(`/api/sessions/${t}/startup_progress`).subscribe({next:i=>{Array.isArray(i)&&i.length>0&&this.startupProgressBySession.update(r=>{let s=[...r[t]||[]];for(let c of i)s.some(p=>p.stage===c.stage)||s.push(c);return F(S({},r),{[t]:s})})},error:()=>{}})}restoreSessionsCache(){try{let t=localStorage.getItem(bm);if(!t)return;let e=JSON.parse(t);Array.isArray(e)&&(this.lastPersistedSessionsJson=t,this.rawSessions.set(e))}catch(t){this.clearSessionsCache()}}persistSessionsCache(t){try{let e=JSON.stringify(t);if(e===this.lastPersistedSessionsJson)return;this.lastPersistedSessionsJson=e,localStorage.setItem(bm,e)}catch(e){}}clearSessionsCache(){this.lastPersistedSessionsJson=null;try{localStorage.removeItem(bm)}catch(t){}}appendLiveLLMRetryTrace(t,e){let o=typeof t?.timestamp=="number"?t.timestamp>1e11?t.timestamp/1e3:t.timestamp:Date.now()/1e3,i=t?.trace_id||`llm-retry-live-${t?.request_id||"unknown"}-${o}`,r={error:t?.error,delay:t?.delay,attempt:t?.attempt,max_retries:t?.max_retries,provider:t?.provider,source:t?.source,recoverable:t?.recoverable,request_id:t?.request_id,scheduled_at:t?.scheduled_at??o},a={trace_id:i,session_id:e,step_id:t?.step_id||null,type:"llm_call",name:"llm_retry",timestamp:o,status:"retrying",payload:r};this.sessionLogs.update(s=>{let c=s.findIndex(_=>_.type==="trace_recorded"&&(_.data?.trace_id===i||t?.request_id&&_.data?.payload?.request_id===t.request_id&&Number(_.data?.payload?.scheduled_at)===Number(r.scheduled_at))),p={type:"trace_recorded",session_id:e,timestamp:new Date(o*1e3).toISOString(),data:a};if(c<0)return[...s,p];let f=[...s];return f[c]=p,f})}appendPausedErrorCard(t,e,o,i,r){let a=typeof t=="string"?t:JSON.stringify(t),s=`${e}:${a}`;this.activePauseCardKey!==s&&(this.sessionLogs.update(c=>{if(c.some(C=>(C?.type==="trace_recorded"?[C.data]:Array.isArray(C?.data?.generic_tools)?C.data.generic_tools:[]).some(P=>P?.type==="llm_call"&&P?.status==="failed"&&String(P?.payload?.error??P?.error??"")===a)))return c;let f=i||[...c].reverse().find(C=>(C.type==="step_updated"||C.type==="step_recorded")&&C.data?.step_id)?.data?.step_id||null,_=typeof o=="number"?o<1e11?o*1e3:o:o?new Date(o).getTime():Date.now();return[...c,{type:"trace_recorded",session_id:e,timestamp:new Date(_).toISOString(),data:{trace_id:`task-paused-${e}-${_}`,session_id:e,step_id:f,type:"llm_call",name:"llm_pause",status:"failed",timestamp:_/1e3,payload:{error:a,pause:!0,request_id:r?.request_id,provider:r?.provider,waited_seconds:r?.waited_seconds,retries:Array.isArray(r?.retries)?r.retries:[]}}}]}),this.activePauseCardKey=s)}pollCounter=0;setSessionStatus(t,e){t&&(this.invalidateStatusSignatures(),this.rawSessions.update(o=>o.map(i=>i.session_id===t?F(S({},i),{status:e}):i)),this.pendingQueue.update(o=>o.map(i=>i.session_id===t?F(S({},i),{status:e}):i)))}applySessionEndedStatus(t,e){if(!t)return;let o=String(e?.status||"").toLowerCase(),i=e?.was_stopped_manually||o==="cancelled"?"cancelled":o==="failed"?"failed":o==="completed"||o==="success"?"completed":null;i&&(this.activeSessionTracking.delete(String(t)),this.setSessionStatus(String(t),i),this.invalidateStatusSignatures(),this.activeTasks.update(r=>r.filter(a=>a.session_id!==String(t))))}startStatusPolling(){this.fetchStatus(),this.zone.runOutsideAngular(()=>{this.statusInterval=setInterval(()=>{typeof document<"u"&&document.hidden||(this.fetchStatus(),this.pollCounter++,this.pollCounter%3===0&&this.fetchSessions())},2e3)})}invalidateStatusSignatures(){this.lastQueueSignature=null,this.lastActiveTasksSignature=null}fetchStatus(){this.http.get("/api/status").subscribe({next:t=>{if(t&&t.status){let e=this.agentStatus(),o=this.runningSessionId(),i=t.status==="running"||t.status==="paused";if(this.agentStatus.set(t.status),this.runningSessionId.set(t.session_id||null),this.runningGoal.set(t.goal||null),t.model_info&&this.activeModel.set(t.model_info),this.isPaused.set(t.status==="paused"),t.status==="paused"){this.isRetrying.set(!1);let s=t.paused_error||this.pausedError()||"AI model request failed. The task is paused.";this.pausedError.set(s),t.session_id&&this.currentSessionId()===t.session_id&&this.appendPausedErrorCard(s,t.session_id)}else this.pausedError.set(null),this.activePauseCardKey=null;let r=JSON.stringify(t.queue||[]);if(r!==this.lastQueueSignature){this.lastQueueSignature=r;let s=(t.queue||[]).map((c,p)=>typeof c=="object"&&c!==null?{session_id:c.session_id||`pending-task-${p}`,initial_goal:c.goal||"",start_time:c.start_time||c.created_at||Date.now()/1e3+p,status:c.status||"pending",device_serial:c.device_serial||c.device_id||null}:{session_id:`task-queued-${p}`,initial_goal:String(c),start_time:Date.now()/1e3+p,status:"pending"});this.pendingQueue.set(s)}let a=JSON.stringify(t.active_tasks||[]);if(a!==this.lastActiveTasksSignature&&(this.lastActiveTasksSignature=a,this.activeTasks.set(t.active_tasks||[])),(e!==t.status||o!==t.session_id)&&this.fetchSessions(),!i&&(e==="running"||e==="paused")&&o&&this.isVideoWindowOpen()&&this.activeVideoSessionId===o&&this.recordingPlaybackStatus()==="live"&&this.beginRecordingFinalization(o),i&&t.session_id){let s=this.currentSessionId();(!s||!this.userPinnedSessionId()&&s!==t.session_id)&&this.selectSession(t.session_id,!1)}}},error:t=>{console.error("Failed to fetch status from backend:",t),this.agentStatus.set("offline"),this.runningSessionId.set(null),this.runningGoal.set(null)}})}updateModelForCurrentView(t){let e=this.currentSessionId(),o=t||this.sessions();if(e){let i=o.find(r=>r.session_id===e);if(i&&i.model_info){this.activeModel.set(i.model_info);return}}}destroy(){this.statusInterval&&(clearInterval(this.statusInterval),this.statusInterval=null),this.eventSource&&(this.eventSource.close(),this.eventSource=null),this.discardPendingStreamChunks(),typeof document<"u"&&document.removeEventListener("visibilitychange",this.onVisibilityChange),this.cancelVideoRetry()}fetchChecks(t){t&&this.http.get(`/api/sessions/${t}/checks`).subscribe({next:e=>{if(this.currentSessionId()!==t)return;let o=this.buildCheckerSnapshotLogs(t,e?.records||[],e?.run_outcome||null);this.sessionLogs.update(i=>[...i.filter(r=>!r.checks_snapshot),...o])},error:e=>{console.error(`Failed to fetch checks for session ${t}:`,e)}})}buildCheckerSnapshotLogs(t,e,o){let i=new Map;for(let a of e){if(!a||!a.attempt_id)continue;let s=String(a.attempt_id),c=String(a.checkpoint_id||""),p=i.get(s);p||(p={event:"attempt_finished",phase:c==="final"?"final":"checkpoint",attempt_id:s,checkpoint_id:c,subgoal_text:String(a.subgoal_text||(c==="final"?"Final review against the user's original goal":`Subgoal ${c.slice(0,8)}`)),anchor_step_id:a.anchor_step_id??null,trace_id:a.trace_id??null,status:"done",verdicts:[],findings:[],ts:typeof a.ts=="number"?a.ts:void 0,session_id:t},i.set(s,p)),typeof a.ts=="number"&&(p.ts=p.ts===void 0?a.ts:Math.min(p.ts,a.ts)),!p.trace_id&&a.trace_id&&(p.trace_id=a.trace_id),p.verdicts.push({item_text:String(a.item_text||""),kind:String(a.kind||""),status:String(a.status||""),evidence:String(a.evidence||""),suggestion:a.suggestion?String(a.suggestion):"",when:a.when?String(a.when):void 0})}let r=[];for(let a of i.values()){let s=new Set(a.verdicts.map(p=>p.status));if(s.size===1){let p=[...s][0];(p==="superseded"||p==="unchecked")&&(a.status=p)}let c=a.ts??Date.now()/1e3;a.timestamp=c,r.push({type:"checker_event",session_id:t,timestamp:new Date(c*1e3).toISOString(),checks_snapshot:!0,data:a})}if(o&&typeof o=="object"){let s=(r.length>0?Math.max(...r.map(c=>new Date(c.timestamp).getTime()/1e3)):Date.now()/1e3)+.001;r.push({type:"checker_event",session_id:t,timestamp:new Date(s*1e3).toISOString(),checks_snapshot:!0,data:F(S({event:"run_outcome",phase:"outcome"},o),{ts:s,timestamp:s,session_id:t})})}return r}fetchNotes(t){if(!t){this.currentNotes.set({});return}this.http.get(`/api/sessions/${t}/notes`).subscribe({next:e=>{if(e&&e.notes){this.currentNotes.set(e.notes);let o=Object.keys(e.notes);if(o.length>0){let i=this.selectedNoteKey();o.includes(i)||(o.includes("task_plan.md")?this.selectedNoteKey.set("task_plan.md"):this.selectedNoteKey.set(o[0]))}}},error:e=>{console.error(`Failed to fetch notes for session ${t}:`,e)}})}openVideoPlayer(t,e,o,i,r){let a=t||this.currentSessionId(),s=this.sessions().find(f=>f.session_id===a),c=e||s?.video_url||null,p=o||s?.initial_goal||(a?`Task: ${a.slice(0,8)}...`:"Screen Recording");if(this.activeVideoTitle.set(p),this.isVideoWindowOpen.set(!0),this.isVideoMinimized.set(!1),this.activeVideoSessionId=a,this.cancelVideoRetry(),this.videoRequestGeneration++,this.shouldAutoplayVideo.set(!1),this.recordingPlaybackMessage.set(""),this.activeVideoSegments.set([]),Number.isFinite(i)&&this.requestVideoSeek(Number(i)),Number.isFinite(r)&&(this.playerMode?.set("steps"),this.requestStepSeek(Number(r))),!a){this.activeVideoUrl.set(null),this.isVideoLoading.set(!1),this.recordingPlaybackStatus.set("unavailable");return}if(s?.status==="running"||s?.status==="paused"){this.activeVideoUrl.set(null),this.isVideoLoading.set(!1),this.recordingPlaybackStatus.set("live");return}this.activeVideoUrl.set(c),this.shouldAutoplayVideo.set(!0),this.videoWaitStartedAt=Date.now(),this.isVideoLoading.set(!0),this.recordingPlaybackStatus.set("processing"),this.recordingPlaybackMessage.set("Loading screen recording..."),c?this.playerMode?.set("video"):this.hasCurrentSessionStepFrames?.()?this.playerMode?.set("steps"):this.playerMode?.set("video"),this.requestSessionVideo(a,this.videoRequestGeneration)}appendStartupProgress(t,e){if(!t?.stage||!t?.message)return;let o=typeof t.timestamp=="number"?t.timestamp>1e11?t.timestamp/1e3:t.timestamp:Date.now()/1e3,i={session_id:String(t.session_id||e),stage:String(t.stage),message:String(t.message),timestamp:o},r=String(t.session_id||e).trim();this.startupProgressBySession.update(a=>{let s=[...a[r]||a[e]||[]],c=s.findIndex(f=>f.stage===i.stage);c>=0?s[c]=i:s.push(i),s.sort((f,_)=>f.timestamp-_.timestamp);let p=F(S({},a),{[r]:s});return e&&e!==r&&(p[e]=s),p})}beginRecordingFinalization(t){this.activeVideoSessionId===t&&(this.cancelVideoRetry(),this.videoRequestGeneration++,this.videoWaitStartedAt=Date.now(),this.activeVideoUrl.set(null),this.activeVideoSegments.set([]),this.shouldAutoplayVideo.set(!0),this.isVideoLoading.set(!0),this.recordingPlaybackStatus.set("processing"),this.recordingPlaybackMessage.set("Finalizing screen recording..."),this.requestSessionVideo(t,this.videoRequestGeneration))}requestSessionVideo(t,e){this.http.get(`/api/sessions/${t}/video`).subscribe({next:o=>{if(e!==this.videoRequestGeneration||t!==this.activeVideoSessionId)return;let i=o.status||(o.has_video&&o.video_url?"ready":"unavailable");if(i==="ready"&&o.video_url){this.cancelVideoRetry(),this.isVideoLoading.set(!1),this.recordingPlaybackStatus.set("ready"),this.recordingPlaybackMessage.set(""),this.activeVideoUrl.set(o.video_url),this.activeVideoSegments.set(o.video_segments||[]),this.playerMode?.set("video"),this.rawSessions.update(r=>r.map(a=>a.session_id===t?F(S({},a),{video_url:o.video_url||void 0,recording_status:"ready"}):a));return}if(i==="processing"){this.activeVideoUrl.set(null),this.activeVideoSegments.set([]),this.isVideoLoading.set(!0),this.recordingPlaybackStatus.set("processing"),this.recordingPlaybackMessage.set("Finalizing screen recording..."),this.scheduleVideoRetry(t,e,o.retry_after_ms);return}this.cancelVideoRetry(),this.isVideoLoading.set(!1),this.activeVideoUrl.set(null),this.activeVideoSegments.set([]),this.recordingPlaybackStatus.set(i==="failed"?"failed":"unavailable"),this.recordingPlaybackMessage.set(o.message||(i==="failed"?"Recording finalization failed.":"No screen recording is available for this task.")),this.hasCurrentSessionStepFrames?.()&&this.playerMode?.set("steps")},error:()=>{if(!(e!==this.videoRequestGeneration||t!==this.activeVideoSessionId)){if(this.recordingPlaybackStatus()==="processing"){this.scheduleVideoRetry(t,e,1e3);return}this.isVideoLoading.set(!1),this.recordingPlaybackStatus.set("failed"),this.recordingPlaybackMessage.set("Unable to load the screen recording."),this.hasCurrentSessionStepFrames?.()&&this.playerMode?.set("steps")}}})}scheduleVideoRetry(t,e,o=1e3){if(this.cancelVideoRetry(),Date.now()-this.videoWaitStartedAt>12e4){this.isVideoLoading.set(!1),this.recordingPlaybackStatus.set("failed"),this.recordingPlaybackMessage.set("Recording finalization timed out. You can retry.");return}let i=Math.max(500,Math.min(3e3,o));this.videoRetryTimer=setTimeout(()=>{this.videoRetryTimer=null,this.requestSessionVideo(t,e)},i)}cancelVideoRetry(){this.videoRetryTimer&&(clearTimeout(this.videoRetryTimer),this.videoRetryTimer=null)}refreshActiveRecording(t){let e=this.activeVideoSessionId;e&&(this.cancelVideoRetry(),this.videoRequestGeneration++,t&&this.shouldAutoplayVideo.set(!0),this.requestSessionVideo(e,this.videoRequestGeneration))}retryVideoRecording(){let t=this.activeVideoSessionId;t&&this.beginRecordingFinalization(t)}consumeVideoAutoplay(){let t=this.shouldAutoplayVideo();return this.shouldAutoplayVideo.set(!1),t}requestVideoSeek(t){Number.isFinite(t)&&this.videoSeekRequest.set({seconds:Math.max(0,t),requestId:++this.videoSeekRequestId})}toggleVideoPlayer(){this.isVideoWindowOpen()?this.isVideoWindowOpen.set(!1):this.openVideoPlayer()}closeVideoPlayer(){this.isVideoWindowOpen.set(!1),this.cancelVideoRetry(),this.videoRequestGeneration++,this.activeVideoSessionId=null}static \u0275fac=function(e){return new(e||n)};static \u0275prov=te({token:n,factory:n.\u0275fac,providedIn:"root"})};var Hd=class n{http=D(Ro);readinessReport=x(null);hasReadinessReport=I(()=>this.readinessReport()!==null);isLoading=x(!1);isRestartingAdb=x(!1);adbServerStatus=x(null);isRemoteAdbServer=I(()=>this.adbServerStatus()?.endpoint.mode==="remote");launchingAvd=x(null);emulatorLaunchState=x(null);isEmulatorLaunching=I(()=>{let t=this.emulatorLaunchState()?.status;return t==="starting"||t==="waiting_for_adb"||t==="booting"});lastCheckedTime=x(null);emulatorPollTimer=null;pythonProbe=I(()=>this.probes().find(t=>t.id==="python_runtime")||null);configProbe=I(()=>this.probes().find(t=>t.id==="system_config")||null);toolchainProbe=I(()=>this.probes().find(t=>t.id==="toolchain")||null);adbProbe=I(()=>this.probes().find(t=>t.id==="android_adb")||null);llmProbe=I(()=>this.probes().find(t=>t.id==="gemini_api_key"||t.id==="llm_api_key")||null);geminiProbe=I(()=>this.llmProbe());ocrProbe=I(()=>this.probes().find(t=>t.id==="vision_ocr_key"||t.id==="ocr_api_key")||null);isEnvironmentReady=I(()=>{let t=this.pythonProbe(),e=this.configProbe(),o=this.adbProbe(),i=this.toolchainProbe(),r=t?.status==="pass",a=e?.status==="pass",s=o?.metadata?.installed??o?.status!=="fail",c=i?.status==="pass"||i?.is_blocker===!1;return r&&a&&s&&c});isSkipCredentialsCheck=x(!1);isCredentialsReady=I(()=>this.isSkipCredentialsCheck()?!0:this.llmProbe()?.status==="pass");isDeviceReady=I(()=>this.adbProbe()?.status==="pass");totalStepCount=I(()=>3);passedStepCount=I(()=>{let t=0;return this.isEnvironmentReady()&&t++,this.isCredentialsReady()&&t++,this.isDeviceReady()&&t++,t});isReady=I(()=>this.isEnvironmentReady()&&this.isCredentialsReady()&&this.isDeviceReady());blockerCount=I(()=>this.totalStepCount());passedBlockerCount=I(()=>this.passedStepCount());probes=I(()=>this.readinessReport()?.probes??[]);activeDevice=I(()=>this.readinessReport()?.active_device??null);osType=I(()=>{let t=this.readinessReport()?.os_type;return t==="windows"||t==="win32"?"windows":t==="darwin"||t==="macos"||t==="mac"?"darwin":"linux"});skipCredentialsCheck(){this.isSkipCredentialsCheck.set(!0)}setSkipCredentialsCheck(t){this.isSkipCredentialsCheck.set(t)}connectedDevices=I(()=>{let t=this.adbProbe()?.metadata;return t&&Array.isArray(t.devices)?t.devices:[]});installedAvds=I(()=>{let t=this.adbProbe()?.metadata;return t&&Array.isArray(t.installed_avds)?t.installed_avds:[]});emulatorPath=I(()=>this.adbProbe()?.metadata?.emulator_path||null);isEmulatorInPath=I(()=>this.adbProbe()?.metadata?.is_emulator_in_path??!0);pollingTimer=null;readinessRequest$=null;zone=D(ge);lastAppliedReportJson=null;onVisibilityChange=()=>{typeof document<"u"&&!document.hidden&&this.fetchReadiness(!0).subscribe({error:()=>{}})};constructor(){this.startAutoPolling(3e3),typeof document<"u"&&document.addEventListener("visibilitychange",this.onVisibilityChange),D(Ae).onDestroy(()=>{this.stopAutoPolling(),this.stopEmulatorStatusPolling(),typeof document<"u"&&document.removeEventListener("visibilitychange",this.onVisibilityChange)})}startAutoPolling(t=3e3){this.pollingTimer&&clearInterval(this.pollingTimer),this.zone.runOutsideAngular(()=>{this.pollingTimer=setInterval(()=>{typeof document<"u"&&document.hidden||this.fetchReadiness(!0).subscribe({error:()=>{}})},t)})}stopAutoPolling(){this.pollingTimer&&(clearInterval(this.pollingTimer),this.pollingTimer=null)}fetchReadiness(t=!1,e=!1){if(t||this.isLoading.set(!0),this.readinessRequest$)return this.readinessRequest$;let o=this.http.get("/api/system/readiness",{params:e?{force:!0}:{}}).pipe(xe({next:i=>{this.applyReadinessReport(i)},error:i=>{console.error("Failed to fetch system readiness:",i)}}),_o(()=>{this.readinessRequest$===o&&(this.readinessRequest$=null),this.isLoading.set(!1)}),Ou({bufferSize:1,refCount:!1}));return this.readinessRequest$=o,o}applyReadinessReport(t){let e=this.readinessReport();if(e&&t.timestamp{this.emulatorLaunchState.set(t),t.status==="ready"?(this.launchingAvd.set(null),this.stopEmulatorStatusPolling(),this.fetchReadiness().subscribe()):t.status==="failed"||t.status==="stopped"||t.status==="idle"?(this.launchingAvd.set(null),this.stopEmulatorStatusPolling()):t.avd_name&&this.launchingAvd.set(t.avd_name)},error:t=>{console.error("Failed to fetch emulator status:",t)}}))}startEmulatorStatusPolling(){this.emulatorPollTimer&&clearInterval(this.emulatorPollTimer),this.emulatorPollTimer=setInterval(()=>{this.fetchEmulatorStatus().subscribe({error:()=>{}})},1e3)}stopEmulatorStatusPolling(){this.emulatorPollTimer&&(clearInterval(this.emulatorPollTimer),this.emulatorPollTimer=null)}launchEmulator(t){return this.launchingAvd.set(t),this.emulatorLaunchState.set({avd_name:t,status:"starting",pid:null,serial:null,stage_message:"Spawning emulator process...",progress_percent:15,started_at:Date.now()/1e3,elapsed_seconds:0,error:null,logs:[`Initiating launch for AVD: ${t}...`],can_retry:!0}),this.http.post("/api/system/emulator/launch",{avd_name:t}).pipe(xe({next:e=>{this.emulatorLaunchState.set(e),e.status==="failed"?this.launchingAvd.set(null):this.startEmulatorStatusPolling()},error:e=>{console.error("Failed to launch emulator:",e),this.launchingAvd.set(null);let o=e?.error?.detail||e?.message||"Failed to start emulator process.";this.emulatorLaunchState.set({avd_name:t,status:"failed",pid:null,serial:null,stage_message:"Failed to initiate launch.",progress_percent:0,started_at:null,elapsed_seconds:0,error:o,logs:[o],can_retry:!0})}}))}stopEmulator(){return this.http.post("/api/system/emulator/stop",{}).pipe(xe({next:()=>{this.launchingAvd.set(null),this.stopEmulatorStatusPolling(),this.fetchEmulatorStatus().subscribe(),this.fetchReadiness().subscribe()}}))}dismissEmulatorStatus(){return this.http.post("/api/system/emulator/dismiss",{}).pipe(xe({next:()=>{this.emulatorLaunchState.set(null),this.launchingAvd.set(null),this.stopEmulatorStatusPolling()}}))}restartAdb(){return this.isRestartingAdb.set(!0),this.http.post("/api/system/adb/restart",{}).pipe(xe({next:t=>{t?.report&&this.applyReadinessReport(t.report),this.isRestartingAdb.set(!1)},error:t=>{console.error("Failed to restart ADB server:",t),this.isRestartingAdb.set(!1)}}))}connectWirelessAdb(t,e=5555){return this.http.post("/api/system/adb/connect",{host:t,port:e}).pipe(xe({next:o=>{o?.report&&this.applyReadinessReport(o.report)}}))}fetchAdbServerStatus(){return this.http.get("/api/system/adb/server").pipe(xe(t=>this.adbServerStatus.set(t)))}probeAdbServer(t,e){return this.http.post("/api/system/adb/server/probe",{host:t,port:e,persist:!1})}connectAdbServer(t,e,o=!0){return this.http.post("/api/system/adb/server/connect",{host:t,port:e,persist:o}).pipe(xe(i=>{i.connection_result.success&&(this.adbServerStatus.set({endpoint:i.connection_result.endpoint}),i.report&&this.applyReadinessReport(i.report))}))}useLocalAdbServer(t=!0){return this.http.post("/api/system/adb/server/local",{},{params:{persist:t}}).pipe(xe(e=>{this.adbServerStatus.set({endpoint:e.connection_result.endpoint}),e.report&&this.applyReadinessReport(e.report)}))}selectDevice(t){return this.isLoading.set(!0),this.http.post("/api/system/devices/select",{serial:t}).pipe(xe({next:e=>{e?.report&&this.applyReadinessReport(e.report),this.isLoading.set(!1)},error:e=>{console.error("Failed to select active device:",e),this.isLoading.set(!1)}}))}currentApiKey=I(()=>this.llmProbe()?.metadata?.current_key||"");apiKeysMap=I(()=>this.llmProbe()?.metadata?.api_keys||{});modelConfigEnv=x(null);fetchModelConfigEnv(){return this.http.get("/api/system/model-config-env").pipe(xe({next:t=>{this.modelConfigEnv.set(t)},error:t=>{console.error("Failed to fetch model config and env:",t)}}))}testApiKey(t,e,o){return this.http.post("/api/system/credentials/test",{provider:t,api_key:e,base_url:o})}updateApiKey(t,e,o=!0){return this.http.post("/api/system/credentials",{provider:t,api_key:e,persist_to_env:o}).pipe(xe({next:i=>{i?.report&&this.applyReadinessReport(i.report),this.fetchModelConfigEnv().subscribe()},error:i=>{console.error(`Failed to update credentials for ${t}:`,i)}}))}static \u0275fac=function(e){return new(e||n)};static \u0275prov=te({token:n,factory:n.\u0275fac,providedIn:"root"})};var HP={"com.google.android.apps.maps":{name:"Maps",icon:"explore",pkg:"com.google.android.apps.maps",category:"navigation"},"com.google.android.gm":{name:"Gmail",icon:"mail",pkg:"com.google.android.gm",category:"productivity"},"com.android.chrome":{name:"Chrome",icon:"public",pkg:"com.android.chrome",category:"browser"},"com.google.android.youtube":{name:"YouTube",icon:"smart_display",pkg:"com.google.android.youtube",category:"entertainment"},"com.android.settings":{name:"Settings",icon:"settings",pkg:"com.android.settings",category:"system"},"com.google.android.deskclock":{name:"Clock",icon:"timer",pkg:"com.google.android.deskclock",category:"utility"},"com.android.deskclock":{name:"Clock",icon:"timer",pkg:"com.android.deskclock",category:"utility"},"com.google.android.calculator":{name:"Calculator",icon:"calculate",pkg:"com.google.android.calculator",category:"utility"},"com.android.calculator2":{name:"Calculator",icon:"calculate",pkg:"com.android.calculator2",category:"utility"},"com.google.android.apps.photos":{name:"Photos",icon:"photo_library",pkg:"com.google.android.apps.photos",category:"media"},"com.google.android.calendar":{name:"Calendar",icon:"calendar_month",pkg:"com.google.android.calendar",category:"productivity"},"com.google.android.keep":{name:"Keep Notes",icon:"note_alt",pkg:"com.google.android.keep",category:"productivity"},"com.android.vending":{name:"Play Store",icon:"storefront",pkg:"com.android.vending",category:"tools"},"com.google.android.apps.messaging":{name:"Messages",icon:"chat",pkg:"com.google.android.apps.messaging",category:"communication"},"com.tencent.mm":{name:"WeChat",icon:"forum",pkg:"com.tencent.mm",category:"social"},"com.xingin.xhs":{name:"Xiaohongshu",icon:"auto_stories",pkg:"com.xingin.xhs",category:"social"},"com.sankuai.meituan":{name:"Meituan",icon:"restaurant",pkg:"com.sankuai.meituan",category:"lifestyle"},"com.dianping.v1":{name:"Dianping",icon:"star",pkg:"com.dianping.v1",category:"lifestyle"},"tv.danmaku.bili":{name:"Bilibili",icon:"video_library",pkg:"tv.danmaku.bili",category:"entertainment"},"com.eg.android.AlipayGphone":{name:"Alipay",icon:"account_balance_wallet",pkg:"com.eg.android.AlipayGphone",category:"finance"},"com.netease.cloudmusic":{name:"NetEase Music",icon:"headphones",pkg:"com.netease.cloudmusic",category:"entertainment"},"com.spotify.music":{name:"Spotify",icon:"music_note",pkg:"com.spotify.music",category:"entertainment"}},UP=[{id:"maps_coffee",title:"Find Specialty Coffee",description:"Search nearby top-rated cafes in Google Maps",goal:"Open Google Maps, search for top-rated specialty coffee shops nearby, and view the top result details.",profile:"flash",category:"flash",tag:"Maps",apps:[{name:"Maps",icon:"explore",pkg:"com.google.android.apps.maps"}],requiredPackages:["com.google.android.apps.maps"],priority:95},{id:"pro_commute_share",title:"Commute ETA & Message Draft",description:"Check transit time on Maps and draft arrival ETA in Messages",goal:"Open Google Maps to check commute time to the International Airport, calculate arrival time, then open Messages and draft an ETA text message.",profile:"pro",category:"cross_app",tag:"Maps + Messages",apps:[{name:"Maps",icon:"explore",pkg:"com.google.android.apps.maps"},{name:"Messages",icon:"chat",pkg:"com.google.android.apps.messaging"}],requiredPackages:["com.google.android.apps.maps","com.google.android.apps.messaging"],matchMode:"all",priority:92},{id:"gmail_receipts",title:"Search Order Receipts",description:"Find recent flight or delivery confirmation emails in Gmail",goal:"Open Gmail and search for recent flight or package delivery confirmation emails.",profile:"flash",category:"flash",tag:"Gmail",apps:[{name:"Gmail",icon:"mail",pkg:"com.google.android.gm"}],requiredPackages:["com.google.android.gm"],priority:90},{id:"pro_email_to_calendar",title:"Email Itinerary to Calendar",description:"Extract flight or event dates from Gmail and schedule in Calendar",goal:"Open Gmail to find the latest event invitation or itinerary, extract dates and location, then open Google Calendar and create a corresponding calendar event.",profile:"pro",category:"cross_app",tag:"Gmail + Calendar",apps:[{name:"Gmail",icon:"mail",pkg:"com.google.android.gm"},{name:"Calendar",icon:"calendar_month",pkg:"com.google.android.calendar"}],requiredPackages:["com.google.android.gm"],priority:94},{id:"chrome_research",title:"Search AI News Breakthroughs",description:"Search latest multimodal AI developments in Chrome browser",goal:"Open Chrome browser and search for latest breakthroughs in multimodal mobile AI agents.",profile:"flash",category:"flash",tag:"Chrome",apps:[{name:"Chrome",icon:"public",pkg:"com.android.chrome"}],requiredPackages:["com.android.chrome"],priority:88},{id:"pro_research_keep",title:"Product Research & Notes Note",description:"Compare top 3 headphones on Chrome and record comparison in Keep",goal:"Open Chrome, research top 3 noise-cancelling headphones comparing price and battery life, then write a structured comparison summary note in Keep Notes.",profile:"pro",category:"pro",tag:"Chrome + Keep",apps:[{name:"Chrome",icon:"public",pkg:"com.android.chrome"},{name:"Keep Notes",icon:"note_alt",pkg:"com.google.android.keep"}],requiredPackages:["com.android.chrome"],priority:91},{id:"youtube_lofi",title:"Play Lo-Fi Music Radio",description:"Search and play a Lo-Fi hip hop live stream on YouTube",goal:'Open YouTube, search for "Lofi hip hop beats relaxing radio" and tap on the live stream.',profile:"flash",category:"flash",tag:"YouTube",apps:[{name:"YouTube",icon:"smart_display",pkg:"com.google.android.youtube"}],requiredPackages:["com.google.android.youtube"],priority:85},{id:"settings_display_wifi",title:"Dark Mode & Wi-Fi Check",description:"Toggle dark theme and verify network connection in Settings",goal:"Open Settings app, navigate to Display settings, ensure Dark theme is enabled, and check Wi-Fi connection status.",profile:"flash",category:"flash",tag:"Settings",apps:[{name:"Settings",icon:"settings",pkg:"com.android.settings"}],requiredPackages:["com.android.settings"],priority:87},{id:"pro_settings_qa",title:"Subsystem Health & Crash Probe",description:"Traverse Settings submenus to verify screens and check for crash dialogs",goal:"Explore Settings submenus (Network, Connected devices, Apps, Battery, Storage), verify each screen loads properly without ANR or crash dialogs, and summarize results.",profile:"pro",category:"monitor",tag:"Settings QA",apps:[{name:"Settings",icon:"settings",pkg:"com.android.settings"}],requiredPackages:["com.android.settings"],priority:93},{id:"clock_timer",title:"25-Min Pomodoro Timer",description:"Start a 25-minute focus countdown timer in Clock app",goal:"Open Clock app, switch to Timer tab, set 25 minutes and start the countdown timer.",profile:"flash",category:"flash",tag:"Clock",apps:[{name:"Clock",icon:"timer",pkg:"com.google.android.deskclock"}],requiredPackages:["com.google.android.deskclock","com.android.deskclock"],priority:86},{id:"calc_gratuity",title:"Split Bill & Calculate Tip",description:"Calculate 18% gratuity on $186.40 for 3 people in Calculator",goal:"Open Calculator and calculate 18% tip on a bill of $186.40, then divide by 3 people.",profile:"flash",category:"flash",tag:"Calculator",apps:[{name:"Calculator",icon:"calculate",pkg:"com.google.android.calculator"}],requiredPackages:["com.google.android.calculator","com.android.calculator2"],priority:84},{id:"photos_inspect",title:"Inspect Recent Screenshot",description:"Open Google Photos and review the latest screenshot taken",goal:"Open Google Photos and view the most recent screenshot in the screenshots 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Install SDK tools via Homebrew (or Studio):":"Ensure virtualization permissions are granted to your user account:"});emuHypervisorCmd=I(()=>{let t=this.effectiveOs();return t==="windows"?"Enable-WindowsOptionalFeature -Online -FeatureName HypervisorPlatform":t==="darwin"?"brew install --cask android-commandlinetools":"sudo apt-get install -y qemu-kvm libvirt-daemon-system && sudo adduser $USER kvm"});emuSdkInstallCmd=I(()=>this.effectiveOs()==="darwin"?'sdkmanager --install "system-images;android-34;google_apis;arm64-v8a" "emulator" "platform-tools"':'sdkmanager --install "system-images;android-34;google_apis;x86_64" "emulator" "platform-tools"');emuCreateAvdCmd=I(()=>this.effectiveOs()==="darwin"?'avdmanager create avd -n Pixel_8_API_34 -k "system-images;android-34;google_apis;arm64-v8a" --device "pixel_8"':'avdmanager create avd -n Pixel_8_API_34 -k "system-images;android-34;google_apis;x86_64" --device "pixel_8"');isOcrConfigured=I(()=>this.ocrProbe()?.metadata?.configured===!0);currentApiKey=I(()=>this.systemService.currentApiKey());apiKeysMap=I(()=>this.systemService.apiKeysMap());savedGeminiKey=I(()=>this.apiKeysMap().google||this.currentApiKey()||"");isGeminiModified=I(()=>this.geminiKeyInput().trim()!==this.savedGeminiKey().trim());savedOcrKey=I(()=>this.apiKeysMap().ocr||"");isOcrModified=I(()=>this.ocrKeyInput().trim()!==this.savedOcrKey().trim());allSuggestions=this.taskRecService.allTasks;selectedCategory=x("all");shuffleOffset=x(0);installedPackages=I(()=>{let t=this.activeDevice()?.installed_packages;return t&&Array.isArray(t)?new Set(t):new Set});filteredSuggestions=I(()=>this.taskRecService.filterAndRankTasks(this.installedPackages(),this.selectedCategory(),this.shuffleOffset()));focusListener=()=>{this.systemService.fetchReadiness().subscribe()};constructor(){Ye(()=>{let t=this.systemService.apiKeysMap(),e=this.systemService.currentApiKey(),o=t.google||e||"",i=t.ocr||"";this.isGeminiKeyEdited()||this.geminiKeyInput.set(o),this.isOcrKeyEdited()||this.ocrKeyInput.set(i)})}ngOnInit(){this.loadProTuningDefaults(),this.systemService.fetchReadiness().subscribe(),this.systemService.fetchModelConfigEnv().subscribe(),this.systemService.fetchAdbServerStatus().subscribe({next:t=>{t.endpoint.mode==="remote"&&(this.remoteAdbHost.set(t.endpoint.host),this.remoteAdbPort.set(String(t.endpoint.port)),this.activeAdbGuideTab.set("remote"))},error:()=>{}}),window.addEventListener("focus",this.focusListener)}ngOnDestroy(){window.removeEventListener("focus",this.focusListener)}setTab(t){this.activeTab.set(t),t==="diagnostics"&&(this.systemService.fetchReadiness().subscribe(),this.systemService.fetchModelConfigEnv().subscribe())}setSelectedOs(t){this.selectedOs.set(t)}setAdbGuideTab(t){this.activeAdbGuideTab.set(t),this.remoteAdbError.set(null),this.remoteAdbMessage.set(null)}setEmulatorSetupMode(t){this.emulatorSetupMode.set(t)}setModelSetupMode(t){this.modelSetupMode.set(t),t==="custom"?(this.systemService.setSkipCredentialsCheck(!0),this.systemService.fetchModelConfigEnv().subscribe()):this.systemService.setSkipCredentialsCheck(!1)}toggleFullConfigFile(){this.showFullConfigFile.update(t=>!t)}toggleGeminiKeyVisibility(){this.showGeminiKey.update(t=>!t)}toggleOcrKeyVisibility(){this.showOcrKey.update(t=>!t)}toggleOcrConfig(){this.showOcrConfig.update(t=>!t)}onGeminiKeyChange(t){this.geminiKeyInput.set(t),this.isGeminiKeyEdited.set(!0),this.geminiSaveError.set(null),this.geminiSaveMessage.set(null)}onOcrKeyChange(t){this.ocrKeyInput.set(t),this.isOcrKeyEdited.set(!0),this.ocrSaveError.set(null),this.ocrSaveMessage.set(null)}saveGeminiKey(){let t=this.geminiKeyInput().trim();t&&(this.isSavingGeminiKey.set(!0),this.geminiSaveError.set(null),this.geminiSaveMessage.set(null),this.systemService.updateApiKey("google",t,!0).subscribe({next:e=>{this.isSavingGeminiKey.set(!1),this.isGeminiKeyEdited.set(!1),this.geminiSaveMessage.set(e?.message||"\u2713 Gemini API key verified & saved successfully."),setTimeout(()=>this.geminiSaveMessage.set(null),5e3)},error:e=>{this.isSavingGeminiKey.set(!1),this.geminiSaveError.set(e?.error?.detail||e?.message||"Failed to update Gemini API key.")}}))}clearGeminiKey(){this.geminiKeyInput.set(""),this.isGeminiKeyEdited.set(!1),this.geminiSaveError.set(null),this.geminiSaveMessage.set(null),this.savedGeminiKey().trim()?(this.isSavingGeminiKey.set(!0),this.systemService.updateApiKey("google","",!0).subscribe({next:t=>{this.isSavingGeminiKey.set(!1),this.geminiSaveMessage.set(t?.message||"\u2713 Gemini API key cleared."),setTimeout(()=>this.geminiSaveMessage.set(null),5e3)},error:t=>{this.isSavingGeminiKey.set(!1),this.geminiSaveError.set(t?.error?.detail||t?.message||"Failed to clear Gemini API key.")}})):(this.geminiSaveMessage.set("\u2713 Gemini API key cleared."),setTimeout(()=>this.geminiSaveMessage.set(null),3e3))}saveOcrKey(){let t=this.ocrKeyInput().trim();t&&(this.isSavingOcrKey.set(!0),this.ocrSaveError.set(null),this.ocrSaveMessage.set(null),this.systemService.updateApiKey("ocr",t,!0).subscribe({next:e=>{this.isSavingOcrKey.set(!1),this.isOcrKeyEdited.set(!1),this.ocrSaveMessage.set(e?.message||"\u2713 Vision OCR API key verified & saved."),setTimeout(()=>this.ocrSaveMessage.set(null),5e3)},error:e=>{this.isSavingOcrKey.set(!1),this.ocrSaveError.set(e?.error?.detail||e?.message||"Failed to update Vision OCR key.")}}))}clearOcrKey(){this.ocrKeyInput.set(""),this.isOcrKeyEdited.set(!1),this.ocrSaveError.set(null),this.ocrSaveMessage.set(null),this.savedOcrKey().trim()?(this.isSavingOcrKey.set(!0),this.systemService.updateApiKey("ocr","",!0).subscribe({next:t=>{this.isSavingOcrKey.set(!1),this.ocrSaveMessage.set(t?.message||"\u2713 Vision OCR API key cleared."),setTimeout(()=>this.ocrSaveMessage.set(null),5e3)},error:t=>{this.isSavingOcrKey.set(!1),this.ocrSaveError.set(t?.error?.detail||t?.message||"Failed to clear Vision OCR key.")}})):(this.ocrSaveMessage.set("\u2713 Vision OCR API key cleared."),setTimeout(()=>this.ocrSaveMessage.set(null),3e3))}testGeminiKey(){let t=this.geminiKeyInput().trim();t&&(this.isTestingGeminiKey.set(!0),this.geminiSaveError.set(null),this.geminiSaveMessage.set(null),this.systemService.testApiKey("google",t).subscribe({next:e=>{this.isTestingGeminiKey.set(!1),e?.valid?this.geminiSaveMessage.set(e?.message||"\u2713 Gemini API key is valid!"):this.geminiSaveError.set(e?.message||"Gemini API key verification failed."),setTimeout(()=>this.geminiSaveMessage.set(null),5e3)},error:e=>{this.isTestingGeminiKey.set(!1),this.geminiSaveError.set(e?.error?.detail||e?.message||"Gemini API key test failed.")}}))}testOcrKey(){let t=this.ocrKeyInput().trim();t&&(this.isTestingOcrKey.set(!0),this.ocrSaveError.set(null),this.ocrSaveMessage.set(null),this.systemService.testApiKey("ocr",t).subscribe({next:e=>{this.isTestingOcrKey.set(!1),e?.valid?this.ocrSaveMessage.set(e?.message||"\u2713 Vision OCR API key is valid!"):this.ocrSaveError.set(e?.message||"Vision OCR API key verification failed."),setTimeout(()=>this.ocrSaveMessage.set(null),5e3)},error:e=>{this.isTestingOcrKey.set(!1),this.ocrSaveError.set(e?.error?.detail||e?.message||"Vision OCR API key test failed.")}}))}getProviderDisplayName(t){switch(t){case"gemini":return"Gemini";case"ocr":return"Vision OCR";default:return t}}getProviderEnvVar(t){switch(t){case"gemini":return"GEMINI_API_KEY";case"ocr":return"GOOGLE_VISION_API_KEY";default:return"API_KEY"}}getProviderHint(t){switch(t){case"gemini":return"For a quick start, Google Gemini provides a free API key. Artemis also supports other models (OpenAI, Claude, OpenRouter, etc.)\u2014you can configure your own API keys directly in .env or your environment.";case"ocr":return"Google Cloud Vision API key for on-screen OCR text detection and UI grounding.";default:return"Configure your API key or use environment definitions."}}skipCredentialsCheck(){this.systemService.skipCredentialsCheck()}getApiKeyPlaceholder(t){switch(t){case"gemini":return"Enter Gemini API Key (e.g. AIzaSy...)";case"ocr":return"Enter Vision OCR API Key (e.g. AIzaSy...)";default:return"Enter API Key..."}}isTabProviderActive(t){if(t==="ocr")return this.isOcrConfigured();let e=t==="gemini"?"google":t;return this.configuredLlmProviders().some(i=>i.provider===e)}refreshReadiness(){this.isRefreshingDiagnostics.set(!0),this.systemService.fetchReadiness(!1,!0).subscribe({next:()=>{this.systemService.fetchModelConfigEnv().subscribe({next:()=>{setTimeout(()=>this.isRefreshingDiagnostics.set(!1),450)},error:()=>this.isRefreshingDiagnostics.set(!1)})},error:()=>this.isRefreshingDiagnostics.set(!1)})}restartAdbServer(){this.adbRestartFeedback.set(null),this.systemService.restartAdb().subscribe({next:t=>{this.adbRestartFeedback.set(t?.restart_result?.skipped?"Devices Refreshed \u2713":"ADB Refreshed \u2713"),setTimeout(()=>this.adbRestartFeedback.set(null),2500)},error:()=>{this.adbRestartFeedback.set("Restart Failed"),setTimeout(()=>this.adbRestartFeedback.set(null),3e3)}})}connectWifiDevice(){if(this.isRemoteAdbServer()){this.wifiConnectError.set("Switch to local ADB before connecting a Wireless ADB device.");return}let t=this.wifiHost().trim(),e=this.wifiPort().trim()||"5555",o=parseInt(e,10)||5555;if(!t){this.wifiConnectError.set("Please enter a valid IP address.");return}this.isConnectingWifi.set(!0),this.wifiConnectError.set(null),this.wifiConnectMessage.set(null),this.systemService.connectWirelessAdb(t,o).subscribe({next:i=>{this.isConnectingWifi.set(!1);let r=i?.connect_result;r?.success?(this.wifiConnectMessage.set(`Connected to ${t}:${o}!`),setTimeout(()=>this.wifiConnectMessage.set(null),4e3)):this.wifiConnectError.set(r?.message||"Connection failed. Please check phone IP & Wi-Fi.")},error:i=>{this.isConnectingWifi.set(!1),this.wifiConnectError.set(i?.error?.detail||"Failed to connect. Please check adb connection.")}})}connectRemoteAdbServer(){let t=this.remoteAdbHost().trim(),e=Number(this.remoteAdbPort().trim());if(!t){this.remoteAdbError.set("Enter the host name or IP address of the ADB server.");return}if(!Number.isInteger(e)||e<1||e>65535){this.remoteAdbError.set("Enter a port between 1 and 65535.");return}this.isConnectingRemoteAdb.set(!0),this.remoteAdbError.set(null),this.remoteAdbMessage.set(null),this.remoteAdbDevices.set([]),this.remoteAdbProbeResult.set(null),this.systemService.probeAdbServer(t,e).subscribe({next:o=>{this.isConnectingRemoteAdb.set(!1);let i=o.connection_result;i.success?(this.remoteAdbProbeResult.set(i),this.remoteAdbDevices.set(i.devices||[]),this.remoteAdbMessage.set(i.message)):this.remoteAdbError.set(i.message)},error:o=>{this.isConnectingRemoteAdb.set(!1),this.remoteAdbError.set(o?.error?.detail||"Unable to test the ADB server endpoint.")}})}activateRemoteAdbServer(){let t=this.remoteAdbProbeResult();if(!t?.success){this.remoteAdbError.set("Test the endpoint before using it.");return}this.isActivatingRemoteAdb.set(!0),this.remoteAdbError.set(null),this.systemService.connectAdbServer(t.endpoint.host,t.endpoint.port,this.rememberRemoteAdb()).subscribe({next:e=>{this.isActivatingRemoteAdb.set(!1);let o=e.connection_result;o.success?(this.remoteAdbProbeResult.set(o),this.remoteAdbDevices.set(o.devices||[]),this.remoteAdbMessage.set(o.message)):this.remoteAdbError.set(o.message)},error:e=>{this.isActivatingRemoteAdb.set(!1),this.remoteAdbError.set(e?.error?.detail||"Unable to use the ADB server endpoint.")}})}updateRemoteAdbHost(t){this.remoteAdbHost.set(t),this.clearRemoteAdbProbe()}updateRemoteAdbPort(t){this.remoteAdbPort.set(t),this.clearRemoteAdbProbe()}clearRemoteAdbProbe(){this.remoteAdbProbeResult.set(null),this.remoteAdbDevices.set([]),this.remoteAdbMessage.set(null),this.remoteAdbError.set(null)}switchToLocalAdbServer(){this.isSwitchingToLocalAdb.set(!0),this.remoteAdbError.set(null),this.systemService.useLocalAdbServer(!0).subscribe({next:t=>{this.isSwitchingToLocalAdb.set(!1),this.remoteAdbDevices.set([]),this.remoteAdbMessage.set(t.connection_result.message)},error:t=>{this.isSwitchingToLocalAdb.set(!1),this.remoteAdbError.set(t?.error?.detail||"Unable to switch back to the local ADB server.")}})}toggleConnectionMethods(){this.showConnectionMethods.update(t=>!t)}launchAvdEmulator(t){this.isRemoteAdbServer()||this.systemService.launchEmulator(t).subscribe()}toggleLaunchLogs(){this.showLaunchLogs.update(t=>!t)}stopEmulator(){this.systemService.stopEmulator().subscribe()}dismissEmulatorStatus(){this.systemService.dismissEmulatorStatus().subscribe()}selectTargetDevice(t){this.systemService.selectDevice(t).subscribe()}getEmulatorCommand(t){let e=this.emulatorPath();return`${this.isEmulatorInPath()?"emulator":e||"~/Android/Sdk/emulator/emulator"} -avd ${t}`}copyToClipboard(t,e){navigator.clipboard&&navigator.clipboard.writeText(t).then(()=>{this.copiedId.set(e),setTimeout(()=>{this.copiedId()===e&&this.copiedId.set(null)},2e3)})}setProfile(t){this.selectedProfile.set(t)}setCategory(t){this.selectedCategory.set(t)}shuffleSuggestions(){this.shuffleOffset.update(t=>t+3)}getAppNamesDisplay(t){return t.map(e=>e.name).join(" + ")}applySuggestion(t){this.taskGoal.set(t.goal),this.selectedProfile.set(t.profile),this.errorMessage.set(null)}applyQuickPrompt(t,e){this.taskGoal.set(t),e&&this.selectedProfile.set(e),this.errorMessage.set(null)}proceedToLauncher(){this.activeTab.set("launcher")}runTask(){let t=this.taskGoal().trim();if(!t){this.errorMessage.set("Please enter a task goal before running.");return}if(!this.isReady()){this.errorMessage.set("System prerequisites are not satisfied. Please review System Setup first."),this.activeTab.set("diagnostics");return}this.isSubmitting.set(!0),this.errorMessage.set(null),this.agentService.runTask(t,this.selectedProfile(),this.selectedProfile()==="pro"&&this.expectedOutput().trim()?this.expectedOutput().trim():void 0,this.selectedProfile()==="pro"?this.enableOutputter():void 0,this.selectedProfile()==="pro"?{verificationLevel:this.verificationLevel().id,explorerMode:this.explorerMode().id}:void 0).subscribe({next:()=>{this.isSubmitting.set(!1),this.router.navigate(["/workspace"])},error:e=>{console.error("Failed to submit task from home page:",e),this.isSubmitting.set(!1),this.errorMessage.set(e?.error?.detail||"Failed to submit task. Please check server connection.")}})}static \u0275fac=function(e){return new(e||n)};static \u0275cmp=Ge({type:n,selectors:[["app-home"]],decls:26,vars:14,consts:[[1,"home-container"],[1,"aurora-background"],[1,"glow","glow-1"],[1,"glow","glow-2"],[1,"glow","glow-3"],[1,"glow","glow-pending"],[1,"glow","glow-ready"],[1,"glow","glow-pro"],[1,"home-content"],[1,"hero-section"],[1,"hero-title"],[1,"mode-tabs-container"],[1,"mode-tabs"],["type","button",1,"mode-tab-btn",3,"click"],[1,"material-symbols-outlined","tab-icon","icon-ready"],[1,"material-symbols-outlined","tab-icon"],[1,"tab-label"],[1,"material-symbols-outlined","tab-icon","icon-locked"],[1,"setup-guide-view"],[1,"task-launcher-view"],[1,"guide-card"],[1,"guide-card-header"],[1,"step-badge"],[1,"material-symbols-outlined","step-check-icon"],[1,"step-info"],[1,"step-title-row"],[1,"step-title"],[1,"step-desc"],["type","button","title","Re-check all system 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Mm(t,e)}openImageModal(t,e,o){o&&o.stopPropagation(),this.selectedZoomImage.set(t),this.selectedZoomAction.set(e||null)}closeImageModal(t){t&&t.stopPropagation(),this.selectedZoomImage.set(null),this.selectedZoomAction.set(null)}onImageLoad(t,e,o){if(!(!t||!e))try{this.drawActionCoordinatesOnOverlay(t,e,o)}catch(i){console.warn("Failed to draw action overlay:",i)}}drawActionCoordinatesOnOverlay(t,e,o){Rd(t,e,o)}firstSaveNoteByKey=I(()=>{let t=new Map;for(let e of this.consolidatedBlocks())if(e.type==="step"&&e.data.generic_tools){for(let o of this.getUniqueGenericTools(e.data.generic_tools))if(o.name&&o.name.toLowerCase()==="save_note"){let i=this.getToolKey(o);i&&!t.has(i)&&t.set(i,o)}}return t});isFirstSaveNoteForKey(t){if(!t||!t.name||t.name.toLowerCase()!=="save_note")return!1;let e=this.getToolKey(t);if(!e)return!0;let o=this.firstSaveNoteByKey().get(e);return o?t.trace_id&&o.trace_id?t.trace_id===o.trace_id:t===o:!0}getToolDisplayLabel(t){return 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o=[t?.kind==="assert"?"Test assertion":"Must pass"];return t?.when==="at_end"&&e?.data?.phase!=="final"&&o.push("at the end"),o.join(" \xB7 ")}isCheckerMuted(t){let e=t?.data?.status;return e==="superseded"||e==="unchecked"}getVerdictItemNumber(t,e,o){let i=this.getCheckerItems(t).findIndex(r=>r.text===e?.item_text);return(i>-1?i:o)+1}getVerdictStatusText(t){switch(t){case"passed":return"Passed";case"failed":return"Failed";case"inconclusive":return"Could not be confirmed";case"superseded":return"Superseded by a newer check";case"unchecked":return"Not checked";default:return t||""}}hasCheckerResult(t){return!this.isCheckerBlock(t)||this.isBlockRunning(t)||this.isCheckerMuted(t)?!1:t.data?.phase==="outcome"?this.getCheckerNotes(t).length>0:this.getCheckerVerdicts(t).length>0||this.getCheckerNotes(t).length>0}getCheckerNotes(t){let e=t?.data||{};if(e.phase==="outcome")return Array.isArray(e.last_findings)?e.last_findings:[];let o=[];if(Array.isArray(e.unmet_subgoals))for(let i of e.unmet_subgoals)o.push(`Not finished yet: ${i}`);return e.reverted&&o.push("The step was sent back to be redone."),e.error&&o.push(String(e.error)),o}openCheckSegments=x(new Set);isCheckerSegmentRunning(t,e){return this.isBlockRunning(t)?e===this.getSortedStepEvents(t.data).length-1:!1}isCheckerSegmentCollapsed(t,e){return this.isCheckerSegmentRunning(t,e)?!1:!this.openCheckSegments().has(`${t.id}-${e}`)}toggleCheckerSegment(t,e){let o=`${t.id}-${e}`;this.openCheckSegments.update(i=>{let r=new Set(i);return r.has(o)?r.delete(o):r.add(o),r})}isCheckerTextVisible(t){let e=t?.data?.text;return typeof e=="string"&&e.trim().length>0&&this.isHumanThinking(e)}getCheckerTone(t){let e=t?.data||{};if(e.phase==="outcome")return e.task_status==="completed"?"passed":e.task_status==="blocked"?"failed":"inconclusive";if(e.isCompleted===!1)return"running";if(e.status==="superseded"||e.status==="unchecked")return"muted";if(e.status==="error")return"inconclusive";let o=this.getCheckerVerdicts(t);return o.some(i=>i.status==="failed")?"failed":o.some(i=>i.status==="inconclusive")?"inconclusive":"passed"}getCheckerStatusLabel(t){let e=t?.data||{};if(e.phase==="outcome"){let r=e.tests||{},a=e.task_status==="completed"?"Goal completed":e.task_status==="blocked"?"Blocked":"Partially completed",s=[[r.passed,"passed"],[r.failed,"failed"],[r.inconclusive,"inconclusive"],[r.unchecked,"not checked"]].filter(([c])=>Number(c)>0).map(([c,p])=>`${c} ${p}`);return s.length>0?`${a} \xB7 ${s.join(" \xB7 ")}`:a}if(e.isCompleted===!1)return"Checking\u2026";switch(e.status){case"superseded":return"Superseded";case"unchecked":return"Not checked";case"error":return"No verdict"}let o=this.getCheckerVerdicts(t),i=o.filter(r=>r.status==="failed").length;return i>0?`${i} failed`:o.some(r=>r.status==="inconclusive")?"Inconclusive":o.length>0?"Passed":"Done"}getVerdictIcon(t){switch(t){case"passed":return"check_circle";case"failed":return"cancel";case"inconclusive":return"help";case"superseded":return"history";case"unchecked":return"radio_button_unchecked";default:return"pending"}}hasVisibleContent(t){if(!t)return!1;if(t.type==="checker")return!0;let e=!!this.getNativeThinking(t),o=!!this.getRawThinking(t),i=!!t.data?.generic_tools&&t.data.generic_tools.some(a=>this.shouldShowTool(a,t.data)||this.isDisplayableLLMFailure(a)||this.isLLMRetry(a)||this.isReportStatusAction(a)),r=!!t.data?.action_taken&&(this.isAndroidAction(t.data.action_taken)||this.isReportStatusAction(t.data.action_taken));return e||o||i||r}isReportStatusAction(t){return jo(t)}getReportStatusValue(t){return TP(t)}getReportStatusExplanation(t){return $d(t)}isHumanThinking(t){return EP(t)}isTerminalLLMFailure(t){return!!t&&this.retryablePauseTrace()===t}isDisplayableLLMFailure(t){return t?.type==="llm_call"&&t?.status==="failed"&&(t?.name==="llm_pause"||t?.payload?.pause===!0)}resumePausedTask(t){t.stopPropagation(),this.agentService.resumeTask()}getLLMErrorText(t){let e="The AI provider did not return error details after the request failed.";if(!t)return e;let o=t.payload?.error||t.error;if(!o)return e;let i=this.cleanErrorMessage(o);return i==="Unknown error"?e:i}isLLMRetry(t){return t?.type==="llm_call"&&t?.status==="retrying"&&t?.payload?.source==="provider_sdk"&&["google","gemini"].includes(String(t?.payload?.provider||"").toLowerCase())}getLLMRetryEntries(t){let e=t?.payload?.retries;return Array.isArray(e)&&e.length>0?e:[t?.payload||t]}getLLMFailureRetryEntries(t){let e=t?.payload?.retries;return Array.isArray(e)?e.filter(o=>o?.source==="provider_sdk"&&["google","gemini"].includes(String(o?.provider||"").toLowerCase())):[]}hasLLMFailureRetryEntries(t){return this.getLLMFailureRetryEntries(t).length>0}getLLMRetryEntryDelay(t){let 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o=this.consolidatedBlocks(),i=o.length>0?o[o.length-1]:null;if(i&&(i.id===e?.id||!e?.data?.isCompleted)){let r=this.getSortedStepEvents(e.data),a=r.length>0?r[r.length-1]:null;if(a&&(a.data?.trace_id===t.data?.trace_id||a===t))return!0}return!1}isBlockRunning(t){if(!t||!t.data||!this.isCurrentSessionActive())return!1;if(t.type==="checker")return t.data.isCompleted===!1;if(this.isReportStatusAction(t.data.action_taken)||t.data?.status==="completed"||t.data?.status==="failed"||t.data?.status==="cancelled")return!1;if(t.data.isCompleted===!1)return!0;let e=this.consolidatedBlocks();return(e.length>0?e[e.length-1]:null)?.id===t.id}static \u0275fac=function(e){return new(e||n)};static \u0275cmp=Ge({type:n,selectors:[["app-agent-stream"]],decls:21,vars:11,consts:[["preImg",""],["preOverlay",""],["preImgTool",""],["preOverlayTool",""],["modalImg",""],["modalOverlay",""],[1,"agent-stream-container"],[1,"vscode-nav-header"],[1,"vscode-tab-container"],["title","Task Queue","aria-label","Task 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t.children.map(i=>{for(let r of e.children)if(n.shouldReuseRoute(i.value,r.value.snapshot))return Is(n,i,r,o);return Is(n,i,void 0,o)})}function HD(n){return new So(new ht(n.url),new ht(n.params),new ht(n.queryParams),new ht(n.fragment),new ht(n.data),n.outlet,n.component,n)}var Qr=class{redirectTo;navigationBehaviorOptions;constructor(t,e){this.redirectTo=t,this.navigationBehaviorOptions=e}},JP="ngNavigationCancelingError";function eu(n,t){let{redirectTo:e,navigationBehaviorOptions:o}=ti(t)?{redirectTo:t,navigationBehaviorOptions:void 0}:t,i=eO(!1,kt.Redirect);return i.url=e,i.navigationBehaviorOptions=o,i}function eO(n,t){let e=new Error(`NavigationCancelingError: ${n||""}`);return e[JP]=!0,e.cancellationCode=t,e}function UD(n){return tO(n)&&ti(n.url)}function tO(n){return!!n&&n[JP]}var Dm=class{routeReuseStrategy;futureState;currState;forwardEvent;inputBindingEnabled;constructor(t,e,o,i,r){this.routeReuseStrategy=t,this.futureState=e,this.currState=o,this.forwardEvent=i,this.inputBindingEnabled=r}activate(t){let e=this.futureState._root,o=this.currState?this.currState._root:null;this.deactivateChildRoutes(e,o,t),Mm(this.futureState.root),this.activateChildRoutes(e,o,t)}deactivateChildRoutes(t,e,o){let i=Wr(e);t.children.forEach(r=>{let a=r.value.outlet;this.deactivateRoutes(r,i[a],o),delete i[a]}),Object.values(i).forEach(r=>{this.deactivateRouteAndItsChildren(r,o)})}deactivateRoutes(t,e,o){let i=t.value,r=e?e.value:null;if(i===r)if(i.component){let a=o.getContext(i.outlet);a&&this.deactivateChildRoutes(t,e,a.children)}else this.deactivateChildRoutes(t,e,o);else 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i=Wr(e);t.children.forEach(r=>{this.activateRoutes(r,i[r.value.outlet],o),this.forwardEvent(new Xd(r.value.snapshot))}),t.children.length&&this.forwardEvent(new Kd(t.value.snapshot))}activateRoutes(t,e,o){let i=t.value,r=e?e.value:null;if(Mm(i),i===r)if(i.component){let a=o.getOrCreateContext(i.outlet);this.activateChildRoutes(t,e,a.children)}else this.activateChildRoutes(t,e,o);else if(i.component){let a=o.getOrCreateContext(i.outlet);if(this.routeReuseStrategy.shouldAttach(i.snapshot)){let s=this.routeReuseStrategy.retrieve(i.snapshot);this.routeReuseStrategy.store(i.snapshot,null),a.children.onOutletReAttached(s.contexts),a.attachRef=s.componentRef,a.route=s.route.value,a.outlet&&a.outlet.attach(s.componentRef,s.route.value),Mm(s.route.value),this.activateChildRoutes(t,null,a.children)}else a.attachRef=null,a.route=i,a.outlet&&a.outlet.activateWith(i,a.injector),this.activateChildRoutes(t,null,a.children)}else this.activateChildRoutes(t,null,o)}},tu=class{path;route;constructor(t){this.path=t,this.route=this.path[this.path.length-1]}},qr=class{component;route;constructor(t,e){this.component=t,this.route=e}};function WD(n,t,e){let o=n._root,i=t?t._root:null;return Ps(o,i,e,[o.value])}function GD(n){let t=n.routeConfig?n.routeConfig.canActivateChild:null;return!t||t.length===0?null:{node:n,guards:t}}function na(n,t){let e=Symbol(),o=t.get(n,e);return o===e?typeof n=="function"&&!Tg(n)?n:t.get(n):o}function Ps(n,t,e,o,i={canDeactivateChecks:[],canActivateChecks:[]}){let r=Wr(t);return n.children.forEach(a=>{qD(a,r[a.value.outlet],e,o.concat([a.value]),i),delete r[a.value.outlet]}),Object.entries(r).forEach(([a,s])=>ys(s,e.getContext(a),e,i)),i}function qD(n,t,e,o,i={canDeactivateChecks:[],canActivateChecks:[]}){let r=n.value,a=t?t.value:null,s=e?e.getContext(n.value.outlet):null;if(a&&r.routeConfig===a.routeConfig){let c=YD(a,r,r.routeConfig.runGuardsAndResolvers);c?i.canActivateChecks.push(new 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a=i.consumed.length>0?x(x({},r),i.consumed[i.consumed.length-1].parameters):r;return{matched:!0,consumedSegments:i.consumed,remainingSegments:e.slice(i.consumed.length),parameters:a,positionalParamSegments:i.posParams??{}}}function DP(n,t,e,o,i){return e.length>0&&bI(n,e,o,i)?{segmentGroup:new ye(t,MI(o,new ye(e,n.children))),slicedSegments:[]}:e.length===0&&PI(n,e,o)?{segmentGroup:new ye(n.segments,CI(n,e,o,n.children)),slicedSegments:e}:{segmentGroup:new ye(n.segments,n.children),slicedSegments:e}}function CI(n,t,e,o){let i={};for(let r of e)if(iu(n,t,r)&&!o[Bn(r)]){let a=new ye([],{});i[Bn(r)]=a}return x(x({},o),i)}function MI(n,t){let e={};e[le]=t;for(let o of n)if(o.path===""&&Bn(o)!==le){let i=new ye([],{});e[Bn(o)]=i}return e}function bI(n,t,e,o){return e.some(i=>!iu(n,t,i)||!(Bn(i)!==le)?!1:!(o!==void 0&&Bn(i)===o))}function PI(n,t,e){return e.some(o=>iu(n,t,o))}function iu(n,t,e){return(n.hasChildren()||t.length>0)&&e.pathMatch==="full"?!1:e.path===""}function OI(n,t,e){return t.length===0&&!n.children[e]}var Am=class{};function vI(n,t,e,o,i,r,a,s){return ke(this,null,function*(){return new Rm(n,t,e,o,i,a,r,s).recognize()})}var yI=31,Rm=class{injector;configLoader;rootComponentType;config;urlTree;paramsInheritanceStrategy;urlSerializer;abortSignal;applyRedirects;absoluteRedirectCount=0;allowRedirects=!0;constructor(t,e,o,i,r,a,s,c){this.injector=t,this.configLoader=e,this.rootComponentType=o,this.config=i,this.urlTree=r,this.paramsInheritanceStrategy=a,this.urlSerializer=s,this.abortSignal=c,this.applyRedirects=new Im(this.urlSerializer,this.urlTree)}noMatchError(t){return new j(4002,`'${t.segmentGroup}'`)}recognize(){return ke(this,null,function*(){let t=DP(this.urlTree.root,[],[],this.config).segmentGroup,{children:e,rootSnapshot:o}=yield this.match(t),i=new an(o,e),r=new Ds("",i),a=HP(o,[],this.urlTree.queryParams,this.urlTree.fragment);return a.queryParams=this.urlTree.queryParams,r.url=this.urlSerializer.serialize(a),{state:r,tree:a}})}match(t){return ke(this,null,function*(){let e=new Xr([],Object.freeze({}),Object.freeze(x({},this.urlTree.queryParams)),this.urlTree.fragment,Object.freeze({}),le,this.rootComponentType,null,{},this.injector);try{return{children:yield this.processSegmentGroup(this.injector,this.config,t,le,e),rootSnapshot:e}}catch(o){if(o instanceof Ts)return this.urlTree=o.urlTree,this.match(o.urlTree.root);throw o instanceof xo?this.noMatchError(o):o}})}processSegmentGroup(t,e,o,i,r){return ke(this,null,function*(){if(o.segments.length===0&&o.hasChildren())return this.processChildren(t,e,o,r);let a=yield this.processSegment(t,e,o,o.segments,i,!0,r);return a instanceof an?[a]:[]})}processChildren(t,e,o,i){return ke(this,null,function*(){let r=[];for(let c of Object.keys(o.children))c==="primary"?r.unshift(c):r.push(c);let a=[];for(let c of r){let u=o.children[c],f=_I(e,c),_=yield this.processSegmentGroup(t,f,u,c,i);a.push(..._)}let s=cO(a);return xI(s),s})}processSegment(t,e,o,i,r,a,s){return ke(this,null,function*(){for(let c of e)try{return yield this.processSegmentAgainstRoute(c._injector??t,e,c,o,i,r,a,s)}catch(u){if(u instanceof xo||nO(u))continue;throw u}if(OI(o,i,r))return new Am;throw new xo(o)})}processSegmentAgainstRoute(t,e,o,i,r,a,s,c){return ke(this,null,function*(){if(Bn(o)!==a&&(a===le||!iu(i,r,o)))throw new xo(i);if(o.redirectTo===void 0)return this.matchSegmentAgainstRoute(t,i,o,r,a,c);if(this.allowRedirects&&s)return this.expandSegmentAgainstRouteUsingRedirect(t,i,e,o,r,a,c);throw new xo(i)})}expandSegmentAgainstRouteUsingRedirect(t,e,o,i,r,a,s){return ke(this,null,function*(){let{matched:c,parameters:u,consumedSegments:f,positionalParamSegments:_,remainingSegments:h}=sO(e,i,r);if(!c)throw new xo(e);typeof i.redirectTo=="string"&&i.redirectTo[0]==="/"&&(this.absoluteRedirectCount++,this.absoluteRedirectCount>yI&&(this.allowRedirects=!1));let C=this.createSnapshot(t,i,r,u,s);if(this.abortSignal.aborted)throw new Error(this.abortSignal.reason);let O=yield this.applyRedirects.applyRedirectCommands(f,i.redirectTo,_,aO(C),t),P=yield this.applyRedirects.lineralizeSegments(i,O);return this.processSegment(t,o,e,P.concat(h),a,!1,s)})}createSnapshot(t,e,o,i,r){let a=new Xr(o,i,Object.freeze(x({},this.urlTree.queryParams)),this.urlTree.fragment,SI(e),Bn(e),e.component??e._loadedComponent??null,e,kI(e),t),s=Vm(a,r,this.paramsInheritanceStrategy);return a.params=Object.freeze(s.params),a.data=Object.freeze(s.data),a}matchSegmentAgainstRoute(t,e,o,i,r,a){return ke(this,null,function*(){if(this.abortSignal.aborted)throw new Error(this.abortSignal.reason);let s=H=>this.createSnapshot(t,o,H.consumedSegments,H.parameters,a),c=yield Bd(hI(e,o,i,t,this.urlSerializer,s,this.abortSignal));if(o.path==="**"&&(e.children={}),!c?.matched)throw new xo(e);t=o._injector??t;let{routes:u}=yield this.getChildConfig(t,o,i),f=o._loadedInjector??t,{parameters:_,consumedSegments:h,remainingSegments:C}=c,O=this.createSnapshot(t,o,h,_,a),{segmentGroup:P,slicedSegments:T}=DP(e,h,C,u,r);if(T.length===0&&P.hasChildren()){let H=yield this.processChildren(f,u,P,O);return new an(O,H)}if(u.length===0&&T.length===0)return new an(O,[]);let R=Bn(o)===r,D=yield this.processSegment(f,u,P,T,R?le:r,!0,O);return new an(O,D instanceof an?[D]:[])})}getChildConfig(t,e,o){return ke(this,null,function*(){if(e.children)return{routes:e.children,injector:t};if(e.loadChildren){if(e._loadedRoutes!==void 0){let r=e._loadedNgModuleFactory;return r&&!e._loadedInjector&&(e._loadedInjector=r.create(t).injector),{routes:e._loadedRoutes,injector:e._loadedInjector}}if(this.abortSignal.aborted)throw new Error(this.abortSignal.reason);if(yield Bd(dI(t,e,o,this.urlSerializer,this.abortSignal))){let r=yield this.configLoader.loadChildren(t,e);return e._loadedRoutes=r.routes,e._loadedInjector=r.injector,e._loadedNgModuleFactory=r.factory,r}throw pI(e)}return{routes:[],injector:t}})}};function xI(n){n.sort((t,e)=>t.value.outlet===le?-1:e.value.outlet===le?1:t.value.outlet.localeCompare(e.value.outlet))}function wI(n){let t=n.value.routeConfig;return t&&t.path===""}function cO(n){let t=[],e=new Set;for(let o of n){if(!wI(o)){t.push(o);continue}let i=t.find(r=>o.value.routeConfig===r.value.routeConfig);i!==void 0?(i.children.push(...o.children),e.add(i)):t.push(o)}for(let o of e){let i=cO(o.children);t.push(new an(o.value,i))}return t.filter(o=>!e.has(o))}function SI(n){return n.data||{}}function kI(n){return n.resolve||{}}function EI(n,t,e,o,i,r,a){return Ot(s=>ke(null,null,function*(){let{state:c,tree:u}=yield vI(n,t,e,o,s.extractedUrl,i,r,a);return F(x({},s),{targetSnapshot:c,urlAfterRedirects:u})}))}function DI(n){return Ot(t=>{let{targetSnapshot:e,guards:{canActivateChecks:o}}=t;if(!o.length)return se(t);let i=new Set(o.map(s=>s.route)),r=new Set;for(let s of i)if(!r.has(s))for(let c of lO(s))r.add(c);let a=0;return We(r).pipe(Pi(s=>i.has(s)?II(s,e,n):(s.data=Vm(s,s.parent,n).resolve,se(void 0))),Fe(()=>a++),Nc(1),Ot(s=>a===r.size?se(t):Ct))})}function lO(n){let t=n.children.map(e=>lO(e)).flat();return[n,...t]}function II(n,t,e){let o=n.routeConfig,i=n._resolve;return o?.title!==void 0&&!XP(o)&&(i[As]=o.title),Pa(()=>(n.data=Vm(n,n.parent,e).resolve,TI(i,n,t).pipe(Ee(r=>(n._resolvedData=r,n.data=x(x({},n.data),r),null)))))}function TI(n,t,e){let o=Pm(n);if(o.length===0)return se({});let i={};return We(o).pipe(Ot(r=>AI(n[r],t,e).pipe(go(),Fe(a=>{if(a instanceof Qr)throw eu(new ei,a);i[r]=a}))),Nc(1),Ee(()=>i),hr(r=>nO(r)?Ct:pg(r)))}function AI(n,t,e){let o=t._environmentInjector,i=na(n,o),r=i.resolve?i.resolve(t,e):st(o,()=>i(t,e));return tr(r)}var dO=new $("");function Fm(n){return At(t=>{let e=n(t);return e?We(e).pipe(Ee(()=>t)):se(t)})}var $m=(()=>{class n{buildTitle(e){let o,i=e.root;for(;i!==void 0;)o=this.getResolvedTitleForRoute(i)??o,i=i.children.find(r=>r.outlet===le);return o}getResolvedTitleForRoute(e){return e.data[As]}static \u0275fac=function(o){return new(o||n)};static \u0275prov=oe({token:n,factory:()=>v(uO)})}return n})(),uO=(()=>{class n extends $m{title;constructor(e){super(),this.title=e}updateTitle(e){let o=this.buildTitle(e);o!==void 0&&this.title.setTitle(o)}static \u0275fac=function(o){return new(o||n)(Q(yP))};static \u0275prov=ee({token:n,factory:n.\u0275fac,providedIn:"root"})}return n})(),oa=new $("",{factory:()=>({})}),Ns=new $(""),gO=(()=>{class n{componentLoaders=new WeakMap;childrenLoaders=new WeakMap;onLoadStartListener;onLoadEndListener;compiler=v(Uf);loadComponent(e,o){return ke(this,null,function*(){if(this.componentLoaders.get(o))return this.componentLoaders.get(o);if(o._loadedComponent)return Promise.resolve(o._loadedComponent);this.onLoadStartListener&&this.onLoadStartListener(o);let i=ke(this,null,function*(){try{let r=yield RP(st(e,()=>o.loadComponent())),a=yield fO(qf(r));return this.onLoadEndListener&&this.onLoadEndListener(o),o._loadedComponent=a,a}finally{this.componentLoaders.delete(o)}});return this.componentLoaders.set(o,i),i})}loadChildren(e,o){if(this.childrenLoaders.get(o))return this.childrenLoaders.get(o);if(o._loadedRoutes)return Promise.resolve({routes:o._loadedRoutes,injector:o._loadedInjector});this.onLoadStartListener&&this.onLoadStartListener(o);let i=ke(this,null,function*(){try{let r=yield pO(o,this.compiler,e,this.onLoadEndListener);return o._loadedRoutes=r.routes,o._loadedInjector=r.injector,o._loadedNgModuleFactory=r.factory,r}finally{this.childrenLoaders.delete(o)}});return this.childrenLoaders.set(o,i),i}static \u0275fac=function(o){return new(o||n)};static \u0275prov=oe({token:n,factory:n.\u0275fac})}return n})();function pO(n,t,e,o){return ke(this,null,function*(){let i=yield RP(st(e,()=>n.loadChildren())),r=yield fO(qf(i)),a;r instanceof id||Array.isArray(r)?a=r:a=yield t.compileModuleAsync(r),o&&o(n);let s,c,u=!1,f;return Array.isArray(a)?(c=a,u=!0):(s=a.create(e).injector,f=a,c=s.get(Ns,[],{optional:!0,self:!0}).flat()),{routes:c.map(zm),injector:s,factory:f}})}function fO(n){return ke(this,null,function*(){return n})}var ru=(()=>{class n{static \u0275fac=function(o){return new(o||n)};static \u0275prov=oe({token:n,factory:()=>v(RI)})}return n})(),RI=(()=>{class n{shouldProcessUrl(e){return!0}extract(e){return e}merge(e,o){return e}static \u0275fac=function(o){return new(o||n)};static \u0275prov=oe({token:n,factory:n.\u0275fac})}return n})(),mO=new $("");var FI=()=>{},_O=new $(""),hO=(()=>{class n{currentNavigation=w(null,{equal:()=>!1});currentTransition=null;lastSuccessfulNavigation=w(null);events=new fe;transitionAbortWithErrorSubject=new fe;configLoader=v(gO);environmentInjector=v(De);destroyRef=v(Te);urlSerializer=v(ea);rootContexts=v(ta);location=v(Xo);inputBindingEnabled=v(ou,{optional:!0})!==null;titleStrategy=v($m);options=v(oa,{optional:!0})||{};paramsInheritanceStrategy=this.options.paramsInheritanceStrategy||jD;urlHandlingStrategy=v(ru);createViewTransition=v(mO,{optional:!0});navigationErrorHandler=v(_O,{optional:!0});routerResourcesFeature=v(dO,{optional:!0});navigationId=0;get hasRequestedNavigation(){return this.navigationId!==0}transitions;afterPreactivation=()=>se(void 0);rootComponentType=null;destroyed=!1;constructor(){let e=i=>this.events.next(new Gd(i)),o=i=>this.events.next(new qd(i));this.configLoader.onLoadEndListener=o,this.configLoader.onLoadStartListener=e,this.destroyRef.onDestroy(()=>{this.destroyed=!0})}complete(){this.transitions?.complete()}handleNavigationRequest(e){let o=++this.navigationId;ie(()=>{this.transitions?.next(F(x({},e),{extractedUrl:this.urlHandlingStrategy.extract(e.rawUrl),targetSnapshot:null,targetRouterState:null,guards:{canActivateChecks:[],canDeactivateChecks:[]},guardsResult:null,id:o,routesRecognizeHandler:{},beforeActivateHandler:{}}))})}setupNavigations(e){return this.transitions=new ht(null),this.transitions.pipe(vt(o=>o!==null),At(o=>{let i=!0,r=!1,a=new AbortController,s=()=>!r&&this.currentTransition?.id===o.id;return se(o).pipe(At(c=>{if(this.navigationId>o.id)return this.cancelNavigationTransition(o,"",kt.SupersededByNewNavigation),Ct;this.currentTransition=o;let u=this.lastSuccessfulNavigation();this.currentNavigation.set({id:c.id,initialUrl:c.rawUrl,extractedUrl:c.extractedUrl,targetBrowserUrl:typeof c.extras.browserUrl=="string"?this.urlSerializer.parse(c.extras.browserUrl):c.extras.browserUrl,trigger:c.source,extras:c.extras,previousNavigation:u?F(x({},u),{previousNavigation:null}):null,abort:()=>a.abort(),routesRecognizeHandler:c.routesRecognizeHandler,beforeActivateHandler:c.beforeActivateHandler});let f=!e.navigated||this.isUpdatingInternalState()||this.isUpdatedBrowserUrl(),_=c.extras.onSameUrlNavigation??e.onSameUrlNavigation;if(!f&&_!=="reload")return this.events.next(new wo(c.id,this.urlSerializer.serialize(c.rawUrl),"",ws.IgnoredSameUrlNavigation)),c.resolve(!1),Ct;if(this.urlHandlingStrategy.shouldProcessUrl(c.rawUrl))return se(c).pipe(At(h=>(this.events.next(new Ji(h.id,this.urlSerializer.serialize(h.extractedUrl),h.source,h.restoredState)),h.id!==this.navigationId?Ct:Promise.resolve(h))),EI(this.environmentInjector,this.configLoader,this.rootComponentType,e.config,this.urlSerializer,this.paramsInheritanceStrategy,a.signal),Fe(h=>{o.targetSnapshot=h.targetSnapshot,o.urlAfterRedirects=h.urlAfterRedirects,this.currentNavigation.update(C=>(C.finalUrl=h.urlAfterRedirects,C)),this.events.next(new ks)}),At(h=>We(o.routesRecognizeHandler.deferredHandle??se(void 0)).pipe(Ee(()=>h))),Fe(()=>{let h=new Ss(c.id,this.urlSerializer.serialize(c.extractedUrl),this.urlSerializer.serialize(c.urlAfterRedirects),c.targetSnapshot);this.events.next(h)}));if(f&&this.urlHandlingStrategy.shouldProcessUrl(c.currentRawUrl)){let{id:h,extractedUrl:C,source:O,restoredState:P,extras:T}=c,R=new Ji(h,this.urlSerializer.serialize(C),O,P);this.events.next(R);let D=KP(this.rootComponentType,this.environmentInjector).snapshot;return this.currentTransition=o=F(x({},c),{targetSnapshot:D,urlAfterRedirects:C,extras:F(x({},T),{skipLocationChange:!1,replaceUrl:!1})}),this.currentNavigation.update(H=>(H.finalUrl=C,H)),se(o)}else return this.events.next(new wo(c.id,this.urlSerializer.serialize(c.extractedUrl),"",ws.IgnoredByUrlHandlingStrategy)),c.resolve(!1),Ct}),Ee(c=>{let u=new $d(c.id,this.urlSerializer.serialize(c.extractedUrl),this.urlSerializer.serialize(c.urlAfterRedirects),c.targetSnapshot);return this.events.next(u),this.currentTransition=o=F(x({},c),{guards:WD(c.targetSnapshot,c.currentSnapshot,this.rootContexts)}),o}),nI(c=>this.events.next(c)),At(c=>{if(o.guardsResult=c.guardsResult,c.guardsResult&&typeof c.guardsResult!="boolean")throw eu(this.urlSerializer,c.guardsResult);let u=new Hd(c.id,this.urlSerializer.serialize(c.extractedUrl),this.urlSerializer.serialize(c.urlAfterRedirects),c.targetSnapshot,!!c.guardsResult);if(this.events.next(u),!s())return Ct;if(!c.guardsResult)return this.cancelNavigationTransition(c,"",kt.GuardRejected),Ct;if(c.guards.canActivateChecks.length===0)return se(c);let f=new Ud(c.id,this.urlSerializer.serialize(c.extractedUrl),this.urlSerializer.serialize(c.urlAfterRedirects),c.targetSnapshot);if(this.events.next(f),!s())return Ct;let _=!1;return se(c).pipe(DI(this.paramsInheritanceStrategy),Fe({next:()=>{_=!0;let h=new Wd(c.id,this.urlSerializer.serialize(c.extractedUrl),this.urlSerializer.serialize(c.urlAfterRedirects),c.targetSnapshot);this.events.next(h)},complete:()=>{_||this.cancelNavigationTransition(c,"",kt.NoDataFromResolver)}}))}),Fm(c=>{let u=_=>{let h=[];if(_.routeConfig?._loadedComponent)_.component=_.routeConfig?._loadedComponent;else if(_.routeConfig?.loadComponent){let C=_._environmentInjector;h.push(this.configLoader.loadComponent(C,_.routeConfig).then(O=>{_.component=O}))}for(let C of _.children)h.push(...u(C));return h},f=u(c.targetSnapshot.root);return f.length===0?se(c):We(Promise.all(f).then(()=>c))}),At(c=>{let{newlyCreatedRoutes:u,state:f}=zD(e.routeReuseStrategy,c.targetSnapshot,c.currentRouterState);return this.currentTransition=o=c=F(x({},c),{targetRouterState:f,newlyCreatedRoutes:u}),this.currentNavigation.update(_=>(_.targetRouterState=f,_)),se(c)}),this.routerResourcesFeature?.setupAndRunResources(a.signal)??(c=>c),Fm(()=>this.afterPreactivation()),At(()=>{let{currentSnapshot:c,targetSnapshot:u}=o,f=this.createViewTransition?.(this.environmentInjector,c.root,u.root);return f?We(f).pipe(Ee(()=>o)):se(o)}),uo(1),At(c=>{i=!1,this.events.next(new Kr);let u=o.beforeActivateHandler.deferredHandle;return u?We(u.then(()=>c)):se(c)}),Fe(c=>{new Dm(e.routeReuseStrategy,o.targetRouterState,o.currentRouterState,u=>this.events.next(u),this.inputBindingEnabled).activate(this.rootContexts),c.newlyCreatedRoutes?.clear(),s()&&(CO(c.targetRouterState),r=!0,this.currentNavigation.update(u=>(u.abort=FI,u)),this.lastSuccessfulNavigation.set(ie(this.currentNavigation)),this.events.next(new jn(c.id,this.urlSerializer.serialize(c.extractedUrl),this.urlSerializer.serialize(c.urlAfterRedirects))),this.titleStrategy?.updateTitle(c.targetRouterState.snapshot),c.resolve(!0))}),Cr(oO(a.signal).pipe(vt(()=>!r&&i),Fe(()=>{this.cancelNavigationTransition(o,a.signal.reason+"",kt.Aborted)}))),Fe({complete:()=>{r=!0}}),Cr(this.transitionAbortWithErrorSubject.pipe(Fe(c=>{throw c}))),Tt(()=>{a.abort(),r||this.cancelNavigationTransition(o,"",kt.SupersededByNewNavigation),this.currentTransition?.id===o.id&&(this.currentNavigation.set(null),this.currentTransition=null)}),hr(c=>{if(r=!0,IP(o),this.destroyed)return o.resolve(!1),Ct;if(tO(c))this.events.next(new bn(o.id,this.urlSerializer.serialize(o.extractedUrl),c.message,c.cancellationCode)),UD(c)?this.events.next(new Zr(c.url,c.navigationBehaviorOptions)):o.resolve(!1);else{let u=new er(o.id,this.urlSerializer.serialize(o.extractedUrl),c,o.targetSnapshot??void 0);try{let f=st(this.environmentInjector,()=>this.navigationErrorHandler?.(u));if(f instanceof Qr){let{message:_,cancellationCode:h}=eu(this.urlSerializer,f);this.events.next(new bn(o.id,this.urlSerializer.serialize(o.extractedUrl),_,h)),this.events.next(new Zr(f.redirectTo,f.navigationBehaviorOptions))}else throw this.events.next(u),c}catch(f){this.options.resolveNavigationPromiseOnError?o.resolve(!1):o.reject(f)}}return Ct}))}))}cancelNavigationTransition(e,o,i){IP(e);let r=new bn(e.id,this.urlSerializer.serialize(e.extractedUrl),o,i);this.events.next(r),e.resolve(!1)}isUpdatingInternalState(){return this.currentTransition?.extractedUrl.toString()!==this.currentTransition?.currentUrlTree.toString()}isUpdatedBrowserUrl(){let e=this.urlHandlingStrategy.extract(this.urlSerializer.parse(this.location.path(!0))),o=ie(this.currentNavigation),i=o?.targetBrowserUrl??o?.extractedUrl;return e.toString()!==i?.toString()&&!o?.extras.skipLocationChange}static \u0275fac=function(o){return new(o||n)};static \u0275prov=oe({token:n,factory:n.\u0275fac})}return n})();function NI(n){return n!==vs}function IP(n){for(let t of n.newlyCreatedRoutes??[])t._localInjector?.destroy(),t._localInjector=void 0;CO(n.targetRouterState)}function CO(n){if(!n)return;let t=e=>{e.value.pending?.set(!1),e.children.forEach(t)};t(n._root)}var MO=new $("");var bO=(()=>{class n{static \u0275fac=function(o){return new(o||n)};static \u0275prov=oe({token:n,factory:()=>v(LI)})}return n})(),nu=class{shouldDetach(t){return!1}store(t,e){}shouldAttach(t){return!1}retrieve(t){return null}shouldReuseRoute(t,e){return t.routeConfig===e.routeConfig}shouldDestroyInjector(t){return!0}},LI=(()=>{class n extends nu{static \u0275fac=function(o){return new(o||n)};static \u0275prov=oe({token:n,factory:n.\u0275fac})}return n})(),au=(()=>{class n{urlSerializer=v(ea);options=v(oa,{optional:!0})||{};canceledNavigationResolution=this.options.canceledNavigationResolution||"replace";location=v(Xo);urlHandlingStrategy=v(ru);urlUpdateStrategy=this.options.urlUpdateStrategy||"deferred";currentUrlTree=new Lt;getCurrentUrlTree(){return this.currentUrlTree}rawUrlTree=this.currentUrlTree;getRawUrlTree(){return this.rawUrlTree}createBrowserPath({finalUrl:e,initialUrl:o,targetBrowserUrl:i}){let r=e!==void 0?this.urlHandlingStrategy.merge(e,o):o,a=i??r;return a instanceof Lt?this.urlSerializer.serialize(a):a}routerUrlState(e){return e?.targetBrowserUrl===void 0||e?.finalUrl===void 0?{}:{\u0275routerUrl:this.urlSerializer.serialize(e.finalUrl)}}commitTransition({targetRouterState:e,finalUrl:o,initialUrl:i}){o&&e?(this.currentUrlTree=o,this.rawUrlTree=this.urlHandlingStrategy.merge(o,i),this.routerState=e):this.rawUrlTree=i}routerState=KP(null,v(De));getRouterState(){return this.routerState}_stateMemento=this.createStateMemento();get stateMemento(){return this._stateMemento}updateStateMemento(){this._stateMemento=this.createStateMemento()}createStateMemento(){return{rawUrlTree:this.rawUrlTree,currentUrlTree:this.currentUrlTree,routerState:this.routerState}}restoredState(){return this.location.getState()}static \u0275fac=function(o){return new(o||n)};static \u0275prov=oe({token:n,factory:()=>v(VI)})}return n})(),VI=(()=>{class n extends au{currentPageId=0;lastSuccessfulId=-1;get browserPageId(){return this.canceledNavigationResolution!=="computed"?this.currentPageId:this.restoredState()?.\u0275routerPageId??this.currentPageId}registerNonRouterCurrentEntryChangeListener(e){return this.location.subscribe(o=>{o.type==="popstate"&&setTimeout(()=>{e(o.url,o.state,"popstate",{replaceUrl:!0})})})}handleRouterEvent(e,o){e instanceof Ji?this.updateStateMemento():e instanceof wo?this.commitTransition(o):e instanceof Ss?this.urlUpdateStrategy==="eager"&&(o.extras.skipLocationChange||this.setBrowserUrl(this.createBrowserPath(o),o)):e instanceof Kr?(this.commitTransition(o),this.urlUpdateStrategy==="deferred"&&!o.extras.skipLocationChange&&this.setBrowserUrl(this.createBrowserPath(o),o)):e instanceof bn&&!YP(e)?this.restoreHistory(o):e instanceof er?this.restoreHistory(o,!0):e instanceof jn&&(this.lastSuccessfulId=e.id,this.currentPageId=this.browserPageId)}setBrowserUrl(e,o){let{extras:i,id:r}=o,{replaceUrl:a,state:s}=i;if(this.location.isCurrentPathEqualTo(e)||a){let c=this.browserPageId,u=x(x({},s),this.generateNgRouterState(r,c,o));this.location.replaceState(e,"",u)}else{let c=x(x({},s),this.generateNgRouterState(r,this.browserPageId+1,o));this.location.go(e,"",c)}}restoreHistory(e,o=!1){if(this.canceledNavigationResolution==="computed"){let i=this.browserPageId,r=this.currentPageId-i;r!==0?this.location.historyGo(r):this.getCurrentUrlTree()===e.finalUrl&&r===0&&(this.resetInternalState(e),this.resetUrlToCurrentUrlTree())}else this.canceledNavigationResolution==="replace"&&(o&&this.resetInternalState(e),this.resetUrlToCurrentUrlTree())}resetInternalState({finalUrl:e}){this.routerState=this.stateMemento.routerState,this.currentUrlTree=this.stateMemento.currentUrlTree,this.rawUrlTree=this.urlHandlingStrategy.merge(this.currentUrlTree,e??this.rawUrlTree)}resetUrlToCurrentUrlTree(){this.location.replaceState(this.urlSerializer.serialize(this.getRawUrlTree()),"",this.generateNgRouterState(this.lastSuccessfulId,this.currentPageId))}generateNgRouterState(e,o,i){return this.canceledNavigationResolution==="computed"?x({navigationId:e,\u0275routerPageId:o},this.routerUrlState(i)):x({navigationId:e},this.routerUrlState(i))}static \u0275fac=function(o){return new(o||n)};static \u0275prov=oe({token:n,factory:n.\u0275fac})}return n})();function Hm(n,t){n.events.pipe(vt(e=>e instanceof jn||e instanceof bn||e instanceof er||e instanceof wo),Ee(e=>e instanceof jn||e instanceof wo?0:(e instanceof bn?e.code===kt.Redirect||e.code===kt.SupersededByNewNavigation:!1)?2:1),vt(e=>e!==2),uo(1)).subscribe(()=>{t()})}var ko=(()=>{class n{get currentUrlTree(){return this.stateManager.getCurrentUrlTree()}get rawUrlTree(){return this.stateManager.getRawUrlTree()}disposed=!1;nonRouterCurrentEntryChangeSubscription;console=v(Nf);stateManager=v(au);options=v(oa,{optional:!0})||{};pendingTasks=v(Kn);urlUpdateStrategy=this.options.urlUpdateStrategy||"deferred";navigationTransitions=v(hO);urlSerializer=v(ea);location=v(Xo);urlHandlingStrategy=v(ru);injector=v(De);_events=new fe;get events(){return this._events}get routerState(){return this.stateManager.getRouterState()}navigated=!1;routeReuseStrategy=v(bO);injectorCleanup=v(MO,{optional:!0});onSameUrlNavigation=this.options.onSameUrlNavigation||"ignore";config=v(Ns,{optional:!0})?.flat()??[];componentInputBindingEnabled=!!v(ou,{optional:!0});currentNavigation=this.navigationTransitions.currentNavigation.asReadonly();constructor(){this.resetConfig(this.config),this.navigationTransitions.setupNavigations(this).subscribe({error:e=>{}}),this.subscribeToNavigationEvents()}eventsSubscription=new Oe;subscribeToNavigationEvents(){let e=this.navigationTransitions.events.subscribe(o=>{try{let i=this.navigationTransitions.currentTransition,r=ie(this.navigationTransitions.currentNavigation);if(i!==null&&r!==null){if(this.stateManager.handleRouterEvent(o,r),o instanceof bn&&o.code!==kt.Redirect&&o.code!==kt.SupersededByNewNavigation)this.navigated=!0;else if(o instanceof jn)this.navigated=!0,this.injectorCleanup?.(this.routeReuseStrategy,this.routerState,this.config);else if(o instanceof Zr){let a=o.navigationBehaviorOptions,s=this.urlHandlingStrategy.merge(o.url,i.currentRawUrl),c=x({scroll:i.extras.scroll,browserUrl:i.extras.browserUrl,info:i.extras.info,skipLocationChange:i.extras.skipLocationChange,replaceUrl:i.extras.replaceUrl||this.urlUpdateStrategy==="eager"||NI(i.source)},a);this.scheduleNavigation(s,vs,null,c,{resolve:i.resolve,reject:i.reject,promise:i.promise})}}VD(o)&&this._events.next(o)}catch(i){this.navigationTransitions.transitionAbortWithErrorSubject.next(i)}});this.eventsSubscription.add(e)}resetRootComponentType(e){this.routerState.root.component=e,this.navigationTransitions.rootComponentType=e}initialNavigation(){this.setUpLocationChangeListener(),this.navigationTransitions.hasRequestedNavigation||this.navigateToSyncWithBrowser(this.location.path(!0),vs,this.stateManager.restoredState(),{replaceUrl:!0})}setUpLocationChangeListener(){this.nonRouterCurrentEntryChangeSubscription??=this.stateManager.registerNonRouterCurrentEntryChangeListener((e,o,i,r)=>{this.navigateToSyncWithBrowser(e,i,o,r)})}navigateToSyncWithBrowser(e,o,i,r){let a=i?.navigationId?i:null,s=i?.\u0275routerUrl??e;if(i?.\u0275routerUrl&&(r=F(x({},r),{browserUrl:e})),i){let u=x({},i);delete u.navigationId,delete u.\u0275routerPageId,delete u.\u0275routerUrl,Object.keys(u).length!==0&&(r.state=u)}let c=this.parseUrl(s);this.scheduleNavigation(c,o,a,r).catch(u=>{this.disposed||this.injector.get(tn)(u)})}get url(){return this.serializeUrl(this.currentUrlTree)}getCurrentNavigation(){return ie(this.navigationTransitions.currentNavigation)}get lastSuccessfulNavigation(){return this.navigationTransitions.lastSuccessfulNavigation}resetConfig(e){this.config=e.map(zm),this.navigated=!1}ngOnDestroy(){this.dispose()}dispose(){this._events.unsubscribe(),this.navigationTransitions.complete(),this.nonRouterCurrentEntryChangeSubscription?.unsubscribe(),this.nonRouterCurrentEntryChangeSubscription=void 0,this.disposed=!0,this.eventsSubscription.unsubscribe()}createUrlTree(e,o={}){let{relativeTo:i,queryParams:r,fragment:a,queryParamsHandling:s,preserveFragment:c}=o,u=c?this.currentUrlTree.fragment:a,f=null;switch(s??this.options.defaultQueryParamsHandling){case"merge":f=x(x({},this.currentUrlTree.queryParams),r);break;case"preserve":f=this.currentUrlTree.queryParams;break;default:f=r||null}f!==null&&(f=this.removeEmptyProps(f));let _;try{let h=i?i.snapshot:this.routerState.snapshot.root;_=UP(h)}catch(h){(typeof e[0]!="string"||e[0][0]!=="/")&&(e=[]),_=this.currentUrlTree.root}return WP(_,e,f,u??null,this.urlSerializer)}navigateByUrl(e,o={skipLocationChange:!1}){let i=ti(e)?e:this.parseUrl(e),r=this.urlHandlingStrategy.merge(i,this.rawUrlTree);return this.scheduleNavigation(r,vs,null,o)}navigate(e,o={skipLocationChange:!1}){return BI(e),this.navigateByUrl(this.createUrlTree(e,o),o)}serializeUrl(e){return this.urlSerializer.serialize(e)}parseUrl(e){try{return this.urlSerializer.parse(e)}catch(o){return this.console.warn(xn(4018,!1)),this.urlSerializer.parse("/")}}isActive(e,o){let i;if(o===!0?i=x({},Nm):o===!1?i=x({},Yr):i=x(x({},Yr),o),ti(e))return Om(this.currentUrlTree,e,i);let r=this.parseUrl(e);return Om(this.currentUrlTree,r,i)}removeEmptyProps(e){return Object.entries(e).reduce((o,[i,r])=>(r!=null&&(o[i]=r),o),{})}scheduleNavigation(e,o,i,r,a){if(this.disposed)return Promise.resolve(!1);let s,c,u;a?(s=a.resolve,c=a.reject,u=a.promise):u=new Promise((_,h)=>{s=_,c=h});let f=this.pendingTasks.add();return Hm(this,()=>{queueMicrotask(()=>this.pendingTasks.remove(f))}),this.navigationTransitions.handleNavigationRequest({source:o,restoredState:i,currentUrlTree:this.currentUrlTree,currentRawUrl:this.currentUrlTree,rawUrl:e,extras:r,resolve:s,reject:c,promise:u,currentSnapshot:this.routerState.snapshot,currentRouterState:this.routerState}),u.catch(Promise.reject.bind(Promise))}static \u0275fac=function(o){return new(o||n)};static \u0275prov=oe({token:n,factory:n.\u0275fac})}return n})();function BI(n){for(let t=0;t{class n{router=v(ko);stateManager=v(au);fragment=w("");queryParams=w({});path=w("");serializer=v(ea);constructor(){this.updateState(),this.router.events?.subscribe(e=>{e instanceof jn&&this.updateState()})}updateState(){let{fragment:e,root:o,queryParams:i}=this.stateManager.getCurrentUrlTree();this.fragment.set(e),this.queryParams.set(i),this.path.set(this.serializer.serialize(new Lt(o)))}static \u0275fac=function(o){return new(o||n)};static \u0275prov=oe({token:n,factory:n.\u0275fac})}return n})(),ia=(()=>{class n{router;route;tabIndexAttribute;renderer;el;locationStrategy;hrefAttributeValue=v(new dd("href"),{optional:!0});reactiveHref=Wf(()=>this.isAnchorElement?this.computeHref(this._urlTree()):this.hrefAttributeValue);get href(){return ie(this.reactiveHref)}set href(e){this.reactiveHref.set(e)}set target(e){this._target.set(e)}get target(){return ie(this._target)}_target=w(void 0);set queryParams(e){this._queryParams.set(e)}get queryParams(){return ie(this._queryParams)}_queryParams=w(void 0,{equal:()=>!1});set fragment(e){this._fragment.set(e)}get fragment(){return ie(this._fragment)}_fragment=w(void 0);set queryParamsHandling(e){this._queryParamsHandling.set(e)}get queryParamsHandling(){return ie(this._queryParamsHandling)}_queryParamsHandling=w(void 0);set state(e){this._state.set(e)}get state(){return ie(this._state)}_state=w(void 0,{equal:()=>!1});set info(e){this._info.set(e)}get info(){return ie(this._info)}_info=w(void 0,{equal:()=>!1});set relativeTo(e){this._relativeTo.set(e)}get relativeTo(){return ie(this._relativeTo)}_relativeTo=w(void 0);set preserveFragment(e){this._preserveFragment.set(e)}get preserveFragment(){return ie(this._preserveFragment)}_preserveFragment=w(!1);set skipLocationChange(e){this._skipLocationChange.set(e)}get skipLocationChange(){return ie(this._skipLocationChange)}_skipLocationChange=w(!1);set replaceUrl(e){this._replaceUrl.set(e)}get replaceUrl(){return ie(this._replaceUrl)}_replaceUrl=w(!1);browserUrl=gd(void 0);isAnchorElement;onChanges=new fe;applicationErrorHandler=v(tn);options=v(oa,{optional:!0});reactiveRouterState=v(zI);constructor(e,o,i,r,a,s){this.router=e,this.route=o,this.tabIndexAttribute=i,this.renderer=r,this.el=a,this.locationStrategy=s;let c=a.nativeElement.tagName?.toLowerCase();this.isAnchorElement=c==="a"||c==="area"||!!(typeof customElements=="object"&&customElements.get(c)?.observedAttributes?.includes?.("href"))}setTabIndexIfNotOnNativeEl(e){this.tabIndexAttribute!=null||this.isAnchorElement||this.applyAttributeValue("tabindex",e)}ngOnChanges(e){this.onChanges.next(this)}routerLinkInput=w(null);set routerLink(e){e==null?(this.routerLinkInput.set(null),this.setTabIndexIfNotOnNativeEl(null)):(ti(e)?this.routerLinkInput.set(e):this.routerLinkInput.set(Array.isArray(e)?e:[e]),this.setTabIndexIfNotOnNativeEl("0"))}onClick(e,o,i,r,a){let s=this._urlTree();if(s===null||this.isAnchorElement&&(e!==0||o||i||r||a||typeof this.target=="string"&&this.target!="_self"))return!0;let c=this.browserUrl(),u=x({skipLocationChange:this.skipLocationChange,replaceUrl:this.replaceUrl,state:this.state,info:this.info},c!==void 0&&{browserUrl:c});return this.router.navigateByUrl(s,u)?.catch(f=>{this.applicationErrorHandler(f)}),!this.isAnchorElement}ngOnDestroy(){}applyAttributeValue(e,o){let i=this.renderer,r=this.el.nativeElement;o!==null?i.setAttribute(r,e,o):i.removeAttribute(r,e)}_urlTree=A(()=>{this.reactiveRouterState.path(),this._preserveFragment()&&this.reactiveRouterState.fragment();let e=i=>i==="preserve"||i==="merge";(e(this._queryParamsHandling())||e(this.options?.defaultQueryParamsHandling))&&this.reactiveRouterState.queryParams();let o=this.routerLinkInput();return o===null||!this.router.createUrlTree?null:ti(o)?o:this.router.createUrlTree(o,{relativeTo:this._relativeTo()!==void 0?this._relativeTo():this.route,queryParams:this._queryParams(),fragment:this._fragment(),queryParamsHandling:this._queryParamsHandling(),preserveFragment:this._preserveFragment()})},{equal:(e,o)=>this.computeHref(e)===this.computeHref(o)});get urlTree(){return ie(this._urlTree)}computeHref(e){return e!==null&&this.locationStrategy?this.locationStrategy?.prepareExternalUrl(this.router.serializeUrl(e))??"":null}static \u0275fac=function(o){return new(o||n)(re(ko),re(So),ts("tabindex"),re(dt),re(Be),re(zr))};static \u0275dir=Pe({type:n,selectors:[["","routerLink",""]],hostVars:2,hostBindings:function(o,i){o&1&&I("click",function(a){return i.onClick(a.button,a.ctrlKey,a.shiftKey,a.altKey,a.metaKey)}),o&2&&ft("href",i.reactiveHref(),gf)("target",i._target())},inputs:{target:"target",queryParams:"queryParams",fragment:"fragment",queryParamsHandling:"queryParamsHandling",state:"state",info:"info",relativeTo:"relativeTo",preserveFragment:[2,"preserveFragment","preserveFragment",Pt],skipLocationChange:[2,"skipLocationChange","skipLocationChange",Pt],replaceUrl:[2,"replaceUrl","replaceUrl",Pt],browserUrl:[1,"browserUrl"],routerLink:"routerLink"},features:[nn]})}return n})(),Um=(()=>{class n{router;element;renderer;cdr;links;classes=[];routerEventsSubscription;linkInputChangesSubscription;_isActive=!1;get isActive(){return this._isActive}routerLinkActiveOptions={exact:!1};ariaCurrentWhenActive;isActiveChange=new ve;link=v(ia,{optional:!0});constructor(e,o,i,r){this.router=e,this.element=o,this.renderer=i,this.cdr=r,this.routerEventsSubscription=e.events.subscribe(a=>{a instanceof jn&&this.update()})}ngAfterContentInit(){se(this.links.changes,se(null)).pipe(mr()).subscribe(e=>{this.update(),this.subscribeToEachLinkOnChanges()})}subscribeToEachLinkOnChanges(){this.linkInputChangesSubscription?.unsubscribe();let e=[...this.links.toArray(),this.link].filter(o=>!!o).map(o=>o.onChanges);this.linkInputChangesSubscription=We(e).pipe(mr()).subscribe(o=>{this._isActive!==this.isLinkActive(this.router)(o)&&this.update()})}set routerLinkActive(e){if(e==null){this.classes=[];return}let o=Array.isArray(e)?e:e.split(" ");this.classes=o.filter(i=>!!i)}ngOnChanges(e){this.update()}ngOnDestroy(){this.routerEventsSubscription.unsubscribe(),this.linkInputChangesSubscription?.unsubscribe()}update(){!this.links||!this.router.navigated||this.routerLinkActiveOptions===null&&!this._isActive||queueMicrotask(()=>{let e=this.hasActiveLinks();this.classes.forEach(o=>{e?this.renderer.addClass(this.element.nativeElement,o):this.renderer.removeClass(this.element.nativeElement,o)}),e&&this.ariaCurrentWhenActive!==void 0?this.renderer.setAttribute(this.element.nativeElement,"aria-current",this.ariaCurrentWhenActive.toString()):this.renderer.removeAttribute(this.element.nativeElement,"aria-current"),this._isActive!==e&&(this._isActive=e,this.cdr.markForCheck(),this.isActiveChange.emit(e))})}isLinkActive(e){let o=this.routerLinkActiveOptions;if(o===null)return()=>!1;let i;return o===void 0?i=x({},Yr):$I(o)?i=o:o.exact??!1?i=x({},Nm):i=x({},Yr),r=>{let a=r.urlTree;return a?ie(Lm(a,e,i)):!1}}hasActiveLinks(){let e=this.isLinkActive(this.router);return this.link&&e(this.link)||this.links.some(e)}static \u0275fac=function(o){return new(o||n)(re(ko),re(Be),re(dt),re(Ln))};static \u0275dir=Pe({type:n,selectors:[["","routerLinkActive",""]],contentQueries:function(o,i,r){if(o&1&&ad(r,ia,5),o&2){let a;eo(a=to())&&(i.links=a)}},inputs:{routerLinkActiveOptions:"routerLinkActiveOptions",ariaCurrentWhenActive:"ariaCurrentWhenActive",routerLinkActive:"routerLinkActive"},outputs:{isActiveChange:"isActiveChange"},exportAs:["routerLinkActive"],features:[nn]})}return n})();function $I(n){let t=n;return!!(t.paths||t.matrixParams||t.queryParams||t.fragment)}var HI=new $("");function Wm(n,...t){return Bo([{provide:Ns,multi:!0,useValue:n},{provide:So,useFactory:UI},{provide:rd,multi:!0,useFactory:WI},t.map(e=>e.\u0275providers)])}function UI(){return v(ko).routerState.root}function WI(){let n=v(Ne);return t=>{let e=n.get(Wt);if(t!==e.components[0])return;let o=n.get(ko),i=n.get(GI);n.get(qI)===1&&o.initialNavigation(),n.get(YI,null,{optional:!0})?.setUpPreloading(),n.get(HI,null,{optional:!0})?.init(),o.resetRootComponentType(e.componentTypes[0]),i.closed||(i.next(),i.complete(),i.unsubscribe())}}var GI=new $("",{factory:()=>new fe}),qI=new $("",{factory:()=>1});var YI=new $("");var DO=(()=>{class n{_renderer;_elementRef;onChange=e=>{};onTouched=()=>{};constructor(e,o){this._renderer=e,this._elementRef=o}setProperty(e,o){this._renderer.setProperty(this._elementRef.nativeElement,e,o)}registerOnTouched(e){this.onTouched=e}registerOnChange(e){this.onChange=e}setDisabledState(e){this.setProperty("disabled",e)}static \u0275fac=function(o){return new(o||n)(re(dt),re(Be))};static \u0275dir=Pe({type:n})}return n})(),$s=(()=>{class n extends DO{static \u0275fac=(()=>{let e;return function(i){return(e||(e=on(n)))(i||n)}})();static \u0275dir=Pe({type:n,features:[pt]})}return n})(),da=new $(""),KI={provide:da,useExisting:yt(()=>Hs),multi:!0},Hs=(()=>{class n extends $s{writeValue(e){this.setProperty("checked",e)}static \u0275fac=(()=>{let e;return function(i){return(e||(e=on(n)))(i||n)}})();static \u0275dir=Pe({type:n,selectors:[["input","type","checkbox","formControlName","",3,"ngNoCva",""],["input","type","checkbox","formControl","",3,"ngNoCva",""],["input","type","checkbox","ngModel","",3,"ngNoCva",""]],hostBindings:function(o,i){o&1&&I("change",function(a){return i.onChange(a.target.checked)})("blur",function(){return i.onTouched()})},standalone:!1,features:[Gt([KI]),pt]})}return n})(),ZI={provide:da,useExisting:yt(()=>oi),multi:!0};function XI(){let n=hn()?hn().getUserAgent():"";return/android (\d+)/.test(n.toLowerCase())}var QI=new $(""),oi=(()=>{class n extends DO{_compositionMode;_composing=!1;constructor(e,o,i){super(e,o),this._compositionMode=i,this._compositionMode==null&&(this._compositionMode=!XI())}writeValue(e){let o=e??"";this.setProperty("value",o)}_handleInput(e){(!this._compositionMode||this._compositionMode&&!this._composing)&&this.onChange(e)}_compositionStart(){this._composing=!0}_compositionEnd(e){this._composing=!1,this._compositionMode&&this.onChange(e)}static \u0275fac=function(o){return new(o||n)(re(dt),re(Be),re(QI,8))};static \u0275dir=Pe({type:n,selectors:[["input","formControlName","",3,"type","checkbox",3,"ngNoCva",""],["textarea","formControlName","",3,"ngNoCva",""],["input","formControl","",3,"type","checkbox",3,"ngNoCva",""],["textarea","formControl","",3,"ngNoCva",""],["input","ngModel","",3,"type","checkbox",3,"ngNoCva",""],["textarea","ngModel","",3,"ngNoCva",""],["","ngDefaultControl",""]],hostBindings:function(o,i){o&1&&I("input",function(a){return i._handleInput(a.target.value)})("blur",function(){return i.onTouched()})("compositionstart",function(){return i._compositionStart()})("compositionend",function(a){return i._compositionEnd(a.target.value)})},standalone:!1,features:[Gt([ZI]),pt]})}return n})();function Zm(n){return n==null||Xm(n)===0}function Xm(n){return n==null?null:Array.isArray(n)||typeof n=="string"?n.length:n instanceof Set?n.size:null}var Us=new $(""),IO=new $(""),JI=/^(?=.{1,254}$)(?=.{1,64}@)[a-zA-Z0-9!#$%&'*+/=?^_`{|}~-]+(?:\.[a-zA-Z0-9!#$%&'*+/=?^_`{|}~-]+)*@[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?(?:\.[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?)*$/,Gm=class{static min(t){return TO(t)}static max(t){return AO(t)}static required(t){return RO(t)}static requiredTrue(t){return eT(t)}static email(t){return tT(t)}static minLength(t){return nT(t)}static maxLength(t){return oT(t)}static pattern(t){return iT(t)}static nullValidator(t){return cu()}static compose(t){return jO(t)}static composeAsync(t){return zO(t)}};function TO(n){return t=>{if(t.value==null||n==null)return null;let e=parseFloat(t.value);return!isNaN(e)&&e{if(t.value==null||n==null)return null;let 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rT(n){return!n.validate}function BO(n){return n.map(t=>rT(t)?t:e=>t.validate(e))}function jO(n){if(!n)return null;let t=n.filter(FO);return t.length==0?null:function(e){return LO(VO(e,t))}}function Qm(n){return n!=null?jO(BO(n)):null}function zO(n){if(!n)return null;let t=n.filter(FO);return t.length==0?null:function(e){let o=VO(e,t).map(NO);return mg(o).pipe(Ee(LO))}}function Jm(n){return n!=null?zO(BO(n)):null}function PO(n,t){return n===null?[t]:Array.isArray(n)?[...n,t]:[n,t]}function aT(n){return n._rawValidators}function sT(n){return n._rawAsyncValidators}function qm(n){return n?Array.isArray(n)?n:[n]:[]}function lu(n,t){return Array.isArray(n)?n.includes(t):n===t}function OO(n,t){let e=qm(t);return qm(n).forEach(i=>{lu(e,i)||e.push(i)}),e}function vO(n,t){return qm(t).filter(e=>!lu(n,e))}var du=class{get value(){return this.control?this.control.value:null}get valid(){return this.control?this.control.valid:null}get invalid(){return this.control?this.control.invalid:null}get pending(){return this.control?this.control.pending:null}get disabled(){return this.control?this.control.disabled:null}get enabled(){return this.control?this.control.enabled:null}get errors(){return this.control?this.control.errors:null}get pristine(){return this.control?this.control.pristine:null}get dirty(){return this.control?this.control.dirty:null}get touched(){return this.control?this.control.touched:null}get status(){return this.control?this.control.status:null}get untouched(){return this.control?this.control.untouched:null}get statusChanges(){return this.control?this.control.statusChanges:null}get valueChanges(){return this.control?this.control.valueChanges:null}get path(){return null}_composedValidatorFn;_composedAsyncValidatorFn;_rawValidators=[];_rawAsyncValidators=[];_setValidators(t){this._rawValidators=t||[],this._composedValidatorFn=Qm(this._rawValidators)}_setAsyncValidators(t){this._rawAsyncValidators=t||[],this._composedAsyncValidatorFn=Jm(this._rawAsyncValidators)}get 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ni{source;constructor(t){super(),this.source=t}},ca=class extends ni{source;constructor(t){super(),this.source=t}};function $O(n){return(mu(n)?n.validators:n)||null}function cT(n){return Array.isArray(n)?Qm(n):n||null}function HO(n,t){return(mu(t)?t.asyncValidators:n)||null}function lT(n){return Array.isArray(n)?Jm(n):n||null}function mu(n){return n!=null&&!Array.isArray(n)&&typeof n=="object"}function dT(n,t,e){let o=n.controls;if(!(t?Object.keys(o):o).length)throw new j(1e3,"");if(!UO(o,e))throw new j(1001,"")}function uT(n,t,e){n._forEachChild((o,i)=>{if(e[i]===void 0)throw new j(-1002,"")})}var gu=class{_pendingDirty=!1;_hasOwnPendingAsyncValidator=null;_pendingTouched=!1;_onCollectionChange=()=>{};_updateOn;_hasRequired=w(!1);_parent=null;_asyncValidationSubscription;_composedValidatorFn;_composedAsyncValidatorFn;_rawValidators;_rawAsyncValidators;value;constructor(t,e){this._assignValidators(t),this._assignAsyncValidators(e)}get validator(){return this._composedValidatorFn}set 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o=t.sourceControl??this;this._forEachChild(i=>{i.markAsPristine({onlySelf:!0,emitEvent:t.emitEvent})}),t.onlySelf||this._parent?._updatePristine(t,o),e&&t.emitEvent!==!1&&this._events.next(new js(!0,o))}markAsPending(t={}){this.status=ra;let e=t.sourceControl??this;t.emitEvent!==!1&&(this._events.next(new aa(this.status,e)),this.statusChanges.emit(this.status)),t.onlySelf||this._parent?.markAsPending(F(x({},t),{sourceControl:e}))}disable(t={}){let e=this._parentMarkedDirty(t.onlySelf);this.status=Vs,this.errors=null,this._forEachChild(i=>{i.disable(F(x({},t),{onlySelf:!0}))}),this._updateValue();let o=t.sourceControl??this;t.emitEvent!==!1&&(this._events.next(new uu(this.value,o)),this._events.next(new aa(this.status,o)),this.valueChanges.emit(this.value),this.statusChanges.emit(this.status)),this._updateAncestors(F(x({},t),{skipPristineCheck:e}),this),this._onDisabledChange.forEach(i=>i(!0))}enable(t={}){let e=this._parentMarkedDirty(t.onlySelf);this.status=Ls,this._forEachChild(o=>{o.enable(F(x({},t),{onlySelf:!0}))}),this.updateValueAndValidity({onlySelf:!0,emitEvent:t.emitEvent}),this._updateAncestors(F(x({},t),{skipPristineCheck:e}),this),this._onDisabledChange.forEach(o=>o(!1))}_updateAncestors(t,e){t.onlySelf||(this._parent?.updateValueAndValidity(t),t.skipPristineCheck||this._parent?._updatePristine({},e),this._parent?._updateTouched({},e))}setParent(t){this._parent=t}getRawValue(){return this.value}updateValueAndValidity(t={}){if(this._setInitialStatus(),this._updateValue(),this.enabled){let o=this._cancelExistingSubscription();this.errors=this._runValidator(),this.status=this._calculateStatus(),(this.status===Ls||this.status===ra)&&this._runAsyncValidator(o,t.emitEvent)}let e=t.sourceControl??this;t.emitEvent!==!1&&(this._events.next(new uu(this.value,e)),this._events.next(new 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t=(this._hasOwnPendingAsyncValidator?.emitEvent||this._hasOwnPendingAsyncValidator?.shouldHaveEmitted)??!1;return this._hasOwnPendingAsyncValidator=null,t}return!1}setErrors(t,e={}){this.errors=t,this._updateControlsErrors(e.emitEvent!==!1,this,e.shouldHaveEmitted)}get(t){let e=t;return e==null||(Array.isArray(e)||(e=e.split(".")),e.length===0)?null:e.reduce((o,i)=>o&&o._find(i),this)}getError(t,e){let o=e?this.get(e):this;return o?.errors?o.errors[t]:null}hasError(t,e){return!!this.getError(t,e)}get root(){let t=this;for(;t._parent;)t=t._parent;return t}_updateControlsErrors(t,e,o){this.status=this._calculateStatus(),t&&this.statusChanges.emit(this.status),(t||o)&&this._events.next(new aa(this.status,e)),this._parent&&this._parent._updateControlsErrors(t,e,o)}_initObservables(){this.valueChanges=new ve,this.statusChanges=new ve}_calculateStatus(){return this._allControlsDisabled()?Vs:this.errors?su:this._hasOwnPendingAsyncValidator||this._anyControlsHaveStatus(ra)?ra:this._anyControlsHaveStatus(su)?su:Ls}_anyControlsHaveStatus(t){return this._anyControls(e=>e.status===t)}_anyControlsDirty(){return this._anyControls(t=>t.dirty)}_anyControlsTouched(){return this._anyControls(t=>t.touched)}_updatePristine(t,e){let o=!this._anyControlsDirty(),i=this.pristine!==o;this.pristine=o,t.onlySelf||this._parent?._updatePristine(t,e),i&&this._events.next(new js(this.pristine,e))}_updateTouched(t={},e){this.touched=this._anyControlsTouched(),this._events.next(new zs(this.touched,e)),t.onlySelf||this._parent?._updateTouched(t,e)}_onDisabledChange=[];_registerOnCollectionChange(t){this._onCollectionChange=t}_setUpdateStrategy(t){mu(t)&&t.updateOn!=null&&(this._updateOn=t.updateOn)}_parentMarkedDirty(t){return!t&&!!this._parent?.dirty&&!this._parent._anyControlsDirty()}_find(t){return null}_assignValidators(t){this._rawValidators=Array.isArray(t)?t.slice():t,this._composedValidatorFn=cT(this._rawValidators),this._updateHasRequiredValidator()}_assignAsyncValidators(t){this._rawAsyncValidators=Array.isArray(t)?t.slice():t,this._composedAsyncValidatorFn=lT(this._rawAsyncValidators)}_updateHasRequiredValidator(){ie(()=>this._hasRequired.set(this.hasValidator(Gm.required)))}};function UO(n,t){return Object.hasOwn(n,t)}function gT(n){return n.tagName==="INPUT"||n.tagName==="SELECT"||n.tagName==="TEXTAREA"}function pT(n,t,e,o){switch(e){case"name":n.setAttribute(t,e,o);break;case"disabled":case"readonly":case"required":o?n.setAttribute(t,e,""):n.removeAttribute(t,e);break;case"max":case"min":case"minLength":case"maxLength":o!==void 0?n.setAttribute(t,e,o.toString()):n.removeAttribute(t,e);break}}var Km=class{kind;context;control;message;constructor({kind:t,context:e,control:o}){this.kind=t,this.context=e,this.control=o}};function WO(n){return typeof 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e=o=>{t.valueAccessor.setDisabledState(o)};n.registerOnDisabledChange(e),t._registerOnDestroy(()=>{n._unregisterOnDisabledChange(e)})}}function GO(n,t){let e=aT(n);t.validator!==null?n.setValidators(PO(e,t.validator)):typeof e=="function"&&n.setValidators([e]);let o=sT(n);t.asyncValidator!==null?n.setAsyncValidators(PO(o,t.asyncValidator)):typeof o=="function"&&n.setAsyncValidators([o]);let i=()=>n.updateValueAndValidity();xO(t._rawValidators,i),xO(t._rawAsyncValidators,i)}function bT(n,t){t.valueAccessor.registerOnChange(e=>{n._pendingValue=e,n._pendingChange=!0,n._pendingDirty=!0,n.updateOn==="change"&&qO(n,t)})}function PT(n,t){t.valueAccessor.registerOnTouched(()=>{n._pendingTouched=!0,n.updateOn==="blur"&&n._pendingChange&&qO(n,t),n.updateOn!=="submit"&&n.markAsTouched()})}function qO(n,t){n._pendingDirty&&n.markAsDirty(),n.setValue(n._pendingValue,{emitModelToViewChange:!1}),t.viewToModelUpdate(n._pendingValue),n._pendingChange=!1}function OT(n,t){let e=(o,i)=>{t.valueAccessor.writeValue(o),i&&t.viewToModelUpdate(o)};n.registerOnChange(e),t._registerOnDestroy(()=>{n._unregisterOnChange(e)})}function vT(n,t){n==null,GO(n,t)}function yT(n,t){if(!Object.hasOwn(n,"model"))return!1;let e=n.model;return e.isFirstChange()?!0:!Object.is(t,e.currentValue)}function xT(n){return Object.getPrototypeOf(n.constructor)===$s}function wT(n,t){n._syncPendingControls(),t.forEach(e=>{let o=e.control;o.updateOn==="submit"&&o._pendingChange&&(e.viewToModelUpdate(o._pendingValue),o._pendingChange=!1)})}function ST(n,t){if(!t)return null;Array.isArray(t);let e,o,i;return t.forEach(r=>{r.constructor===oi?e=r:xT(r)?o=r:i=r}),i||o||e||null}var kT={provide:hT,useFactory:()=>{let n=v(la,{self:!0});return{setParseErrors:t=>{n.setParseErrorSource(t)},set onReset(t){n.onReset=t}}}},la=class extends du{_parent=null;name=null;valueAccessor=null;isCustomControlBased=!1;userOnReset;resetSubscription;set onReset(t){this.userOnReset=t,this.resetSubscription?.unsubscribe(),this.resetSubscription=void 0,this.control&&(this.resetSubscription=this.control.events.subscribe(e=>{e instanceof ca&&this.control&&this.userOnReset?.(this.control.value)}),this.subscription?.add(this.resetSubscription))}isNativeFormElement=!1;rawValueAccessors;_selectedValueAccessor=null;get selectedValueAccessor(){return this._selectedValueAccessor??=ST(this,this.rawValueAccessors)}parseErrorsValidator=null;renderer;injector;requiredValidatorViaDi;subscription;customControlBindings=null;constructor(t,e,o){super(),this.injector=t,this.renderer=e,this.rawValueAccessors=o,this.injector?.get(Te)?.onDestroy(()=>{this.removeParseErrorsValidator(this.control),this.subscription?.unsubscribe()})}setupCustomControl(){this.subscription?.unsubscribe();let t=this.injector?.get(Ln);if(!this.control||!t)return;let e=t.markForCheck.bind(t);this.subscription=new Oe,this.subscription.add(this.control.valueChanges.subscribe(e)),this.subscription.add(this.control.statusChanges.subscribe(e)),this.resetSubscription?.unsubscribe(),this.resetSubscription=void 0,this.userOnReset&&(this.resetSubscription=this.control.events.subscribe(o=>{o instanceof ca&&this.control&&this.userOnReset?.(this.control.value)}),this.subscription.add(this.resetSubscription)),this.parseErrorsValidator&&this.control.addValidators(this.parseErrorsValidator)}ngControlCreate(t){!t.nativeElement.hasAttribute?.("ngNoCva")&&(this.rawValueAccessors&&this.rawValueAccessors.length>0||this.valueAccessor!==null)||!t.customControl||(this.isCustomControlBased=!0,t.listenToCustomControlModel(i=>{this.control?.setValue(i,{emitModelToViewChange:!1}),this.control?.markAsDirty(),this.viewToModelUpdate(i)}),t.listenToCustomControlOutput("touch",()=>{this.control?.markAsTouched()}),this.customControlBindings={},this.isNativeFormElement=gT(t.nativeElement),this.requiredValidatorViaDi=this._rawValidators.find(i=>i instanceof _u))}ngControlUpdate(t,e){if(!this.isCustomControlBased)return;let o=this.control,i=this.customControlBindings;Object.is(i.value,o.value)||(i.value=o.value,t.setCustomControlModelInput(o.value)),this.bindControlProperty(t,i,"touched",o.touched),this.bindControlProperty(t,i,"dirty",o.dirty),this.bindControlProperty(t,i,"valid",o.valid),this.bindControlProperty(t,i,"invalid",o.invalid),this.bindControlProperty(t,i,"pending",o.pending),this.bindControlProperty(t,i,"disabled",o.disabled),this.shouldBindRequired&&this.bindControlProperty(t,i,"required",this.isRequired);let r=o.errors;if(i.errors!==r){i.errors=r;let a=this._convertErrors(r);t.setInputOnDirectives("errors",a)}}get isRequired(){return(this.requiredValidatorViaDi?._enabled||this.control?._hasRequired())??!1}get shouldBindRequired(){return!0}bindControlProperty(t,e,o,i){if(e[o]===i)return;e[o]=i;let r=t.setInputOnDirectives(o,i);this.isNativeFormElement&&!r&&(o==="disabled"||o==="required")&&this.renderer&&pT(this.renderer,t.nativeElement,o,i)}_convertErrors(t){if(t===null)return[];let 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this._reduceChildren(t,(e,o,i)=>((o.enabled||this.disabled)&&(e[i]=o.value),e))}_reduceChildren(t,e){let o=t;return this._forEachChild((i,r)=>{o=e(o,i,r)}),o}_allControlsDisabled(){for(let t of Object.keys(this.controls))if(this.controls[t].enabled)return!1;return Object.keys(this.controls).length>0||this.disabled}_find(t){return UO(this.controls,t)?this.controls[t]:null}};var ET={provide:sa,useExisting:yt(()=>r_)},Bs=Promise.resolve(),r_=(()=>{class n extends sa{callSetDisabledState;get submitted(){return ie(this.submittedReactive)}_submitted=A(()=>this.submittedReactive());submittedReactive=w(!1);_directives=new Set;form;ngSubmit=new ve;options;constructor(e,o,i){super(),this.callSetDisabledState=i,this.form=new fu({},Qm(e),Jm(o))}ngAfterViewInit(){this._setUpdateStrategy()}get formDirective(){return this}get control(){return this.form}get path(){return[]}get controls(){return this.form.controls}addControl(e){Bs.then(()=>{let o=this._findContainer(e.path);e.control=o.registerControl(e.name,e.control),e._setupWithForm(this.callSetDisabledState),e.control.updateValueAndValidity({emitEvent:!1}),this._directives.add(e)})}getControl(e){return this.form.get(e.path)}removeControl(e){Bs.then(()=>{this._findContainer(e.path)?.removeControl(e.name),this._directives.delete(e)})}addFormGroup(e){Bs.then(()=>{let o=this._findContainer(e.path),i=new fu({});vT(i,e),o.registerControl(e.name,i),i.updateValueAndValidity({emitEvent:!1})})}removeFormGroup(e){Bs.then(()=>{this._findContainer(e.path)?.removeControl?.(e.name)})}getFormGroup(e){return this.form.get(e.path)}updateModel(e,o){Bs.then(()=>{this.form.get(e.path).setValue(o)})}setValue(e){this.control.setValue(e)}onSubmit(e){return this.submittedReactive.set(!0),wT(this.form,this._directives),this.ngSubmit.emit(e),this.form._events.next(new Ym(this.control)),e?.target?.method==="dialog"}onReset(){this.resetForm()}resetForm(e=void 0){this.form.reset(e),this.submittedReactive.set(!1)}_setUpdateStrategy(){this.options&&this.options.updateOn!=null&&(this.form._updateOn=this.options.updateOn)}_findContainer(e){return e.pop(),e.length?this.form.get(e):this.form}static \u0275fac=function(o){return new(o||n)(re(Us,10),re(IO,10),re(o_,8))};static \u0275dir=Pe({type:n,selectors:[["form",3,"ngNoForm","",3,"formGroup","",3,"formArray",""],["ng-form"],["","ngForm",""]],hostBindings:function(o,i){o&1&&I("submit",function(a){return i.onSubmit(a)})("reset",function(){return i.onReset()})},inputs:{options:[0,"ngFormOptions","options"]},outputs:{ngSubmit:"ngSubmit"},exportAs:["ngForm"],standalone:!1,features:[Gt([ET]),pt]})}return n})();function wO(n,t){let e=n.indexOf(t);e>-1&&n.splice(e,1)}function SO(n){return typeof n=="object"&&n!==null&&Object.keys(n).length===2&&"value"in n&&"disabled"in n}var DT=class extends gu{defaultValue=null;_onChange=[];_pendingValue;_pendingChange=!1;constructor(t=null,e,o){super($O(e),HO(o,e)),this._applyFormState(t),this._setUpdateStrategy(e),this._initObservables(),this.updateValueAndValidity({onlySelf:!0,emitEvent:!!this.asyncValidator}),mu(e)&&(e.nonNullable||e.initialValueIsDefault)&&(SO(t)?this.defaultValue=t.value:this.defaultValue=t)}setValue(t,e={}){ie(()=>{this.value=this._pendingValue=t,this._onChange.length&&e.emitModelToViewChange!==!1&&this._onChange.forEach(o=>o(this.value,e.emitViewToModelChange!==!1)),this.updateValueAndValidity(e)})}patchValue(t,e={}){this.setValue(t,e)}reset(t=this.defaultValue,e={}){this._applyFormState(t),this.markAsPristine(e),this.markAsUntouched(e),this.setValue(this.value,e),e.overwriteDefaultValue&&(this.defaultValue=this.value),this._pendingChange=!1,e?.emitEvent!==!1&&this._events.next(new ca(this))}_updateValue(){}_anyControls(t){return!1}_allControlsDisabled(){return this.disabled}registerOnChange(t){this._onChange.push(t)}_unregisterOnChange(t){wO(this._onChange,t)}registerOnDisabledChange(t){this._onDisabledChange.push(t)}_unregisterOnDisabledChange(t){wO(this._onDisabledChange,t)}_forEachChild(t){}_syncPendingControls(){return this.updateOn==="submit"&&(this._pendingDirty&&this.markAsDirty(),this._pendingTouched&&this.markAsTouched(),this._pendingChange)?(this.setValue(this._pendingValue,{onlySelf:!0,emitModelToViewChange:!1}),!0):!1}_applyFormState(t){SO(t)?(this.value=this._pendingValue=t.value,t.disabled?this.disable({onlySelf:!0,emitEvent:!1}):this.enable({onlySelf:!0,emitEvent:!1})):this.value=this._pendingValue=t}};var IT={provide:la,useExisting:yt(()=>Eo)},kO=Promise.resolve(),Eo=(()=>{class n extends la{_changeDetectorRef;callSetDisabledState;control=new DT;static ngAcceptInputType_isDisabled;_registered=!1;_ngModelInjector;viewModel;name="";isDisabled;model;options;update=new ve;constructor(e,o,i,r,a,s,c,u){super(c,u,r),this._changeDetectorRef=a,this.callSetDisabledState=s,this._parent=e,this._setValidators(o),this._setAsyncValidators(i)}ngOnChanges(e){if(this._registered,this._checkForErrors(),!this._registered||"name"in e){if(this._registered&&(this._checkName(),this.formDirective)){let o=e.name.previousValue;this.formDirective.removeControl({name:o,path:this._getPath(o)})}this._setUpControl()}"isDisabled"in e&&this._updateDisabled(e),yT(e,this.viewModel)&&(this._updateValue(this.model),this.viewModel=this.model)}ngOnDestroy(){this.formDirective?.removeControl(this)}\u0275ngControlCreate(e){super.ngControlCreate(e)}\u0275ngControlUpdate(e){super.ngControlUpdate(e,!1)}get shouldBindRequired(){return!1}get path(){return this._getPath(this.name)}get formDirective(){return this._parent?this._parent.formDirective:null}viewToModelUpdate(e){this.viewModel=e,this.update.emit(e)}_setUpControl(){this._setUpdateStrategy(),this._isStandalone()?this._setUpStandalone():this.formDirective.addControl(this),this._registered=!0}_setUpdateStrategy(){this.options&&this.options.updateOn!=null&&(this.control._updateOn=this.options.updateOn)}_isStandalone(){return!this._parent||!!(this.options&&this.options.standalone)}_setUpStandalone(){this.isCustomControlBased?this.setupCustomControl():(this.valueAccessor??=this.selectedValueAccessor,yO(this.control,this,this.callSetDisabledState)),this.control.updateValueAndValidity({emitEvent:!1})}_setupWithForm(e){this.isCustomControlBased?this.setupCustomControl():(this.valueAccessor??=this.selectedValueAccessor,yO(this.control,this,e))}_checkForErrors(){this._checkName()}_checkName(){this.options&&this.options.name&&(this.name=this.options.name),!this._isStandalone()&&this.name}_updateValue(e){kO.then(()=>{this.control.setValue(e,{emitViewToModelChange:!1}),this._changeDetectorRef?.markForCheck()})}_updateDisabled(e){let o=e.isDisabled.currentValue,i=o!==0&&Pt(o);kO.then(()=>{i&&!this.control.disabled?this.control.disable():!i&&this.control.disabled&&this.control.enable(),this._changeDetectorRef?.markForCheck()})}_getPath(e){return this._parent?CT(e,this._parent):[e]}static \u0275fac=function(o){return new(o||n)(re(sa,9),re(Us,10),re(IO,10),re(da,10),re(Ln,8),re(o_,8),re(Ne,8),re(dt,8))};static \u0275dir=Pe({type:n,selectors:[["","ngModel","",3,"formControlName","",3,"formControl",""]],inputs:{name:"name",isDisabled:[0,"disabled","isDisabled"],model:[0,"ngModel","model"],options:[0,"ngModelOptions","options"]},outputs:{update:"ngModelChange"},exportAs:["ngModel"],standalone:!1,features:[Gt([IT,kT]),pt,nn,Ff(null)]})}return n})();var KO=(()=>{class n{static \u0275fac=function(o){return new(o||n)};static \u0275dir=Pe({type:n,selectors:[["form",3,"ngNoForm","",3,"ngNativeValidate",""]],hostAttrs:["novalidate",""],standalone:!1})}return n})(),TT={provide:da,useExisting:yt(()=>a_),multi:!0},a_=(()=>{class n extends $s{writeValue(e){let o=e??"";this.setProperty("value",o)}registerOnChange(e){this.onChange=o=>{e(o==""?null:parseFloat(o))}}static \u0275fac=(()=>{let e;return function(i){return(e||(e=on(n)))(i||n)}})();static \u0275dir=Pe({type:n,selectors:[["input","type","number","formControlName","",3,"ngNoCva",""],["input","type","number","formControl","",3,"ngNoCva",""],["input","type","number","ngModel","",3,"ngNoCva",""]],hostBindings:function(o,i){o&1&&I("input",function(a){return i.onChange(a.target.value)})("blur",function(){return i.onTouched()})},standalone:!1,features:[Gt([TT]),pt]})}return n})();var AT={provide:da,useExisting:yt(()=>XO),multi:!0};function ZO(n,t){return n==null?`${t}`:(t&&typeof t=="object"&&(t="Object"),`${n}: ${t}`.slice(0,50))}function RT(n){return n.split(":")[0]}var XO=(()=>{class n extends $s{value;_optionMap=new Map;_idCounter=0;set compareWith(e){this._compareWith=e}_compareWith=Object.is;appRefInjector=v(Wt).injector;destroyRef=v(Te);cdr=v(Ln);_queuedWrite=!1;_writeValueAfterRender(){this._queuedWrite||this.appRefInjector.destroyed||(this._queuedWrite=!0,Po({write:()=>{this.destroyRef.destroyed||(this._queuedWrite=!1,this.writeValue(this.value))}},{injector:this.appRefInjector}))}writeValue(e){this.cdr.markForCheck(),this.value=e;let o=this._getOptionId(e),i=ZO(o,e);this.setProperty("value",i)}registerOnChange(e){this.onChange=o=>{this.value=this._getOptionValue(o),e(this.value)}}_registerOption(){return(this._idCounter++).toString()}_getOptionId(e){for(let o of this._optionMap.keys())if(this._compareWith(this._optionMap.get(o),e))return o;return null}_getOptionValue(e){let o=RT(e);return this._optionMap.has(o)?this._optionMap.get(o):e}static \u0275fac=(()=>{let e;return function(i){return(e||(e=on(n)))(i||n)}})();static 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value(e){this._select?(this._value=e,this._setElementValue(EO(this.id,e)),this._select.writeValue(this._select.value)):this._setElementValue(e)}_setElementValue(e){this._renderer.setProperty(this._element.nativeElement,"value",e)}_setSelected(e){this._renderer.setProperty(this._element.nativeElement,"selected",e)}ngOnDestroy(){this._select&&(this._select._optionMap.delete(this.id),this._select.writeValue(this._select.value))}static \u0275fac=function(o){return new(o||n)(re(Be),re(dt),re(JO,9))};static \u0275dir=Pe({type:n,selectors:[["option"]],inputs:{ngValue:"ngValue",value:"value"},standalone:!1})}return n})();var LT=(()=>{class n{static \u0275fac=function(o){return new(o||n)};static \u0275mod=gt({type:n});static \u0275inj=at({})}return n})();var Et=(()=>{class n{static withConfig(e){return{ngModule:n,providers:[{provide:o_,useValue:e.callSetDisabledState??i_}]}}static \u0275fac=function(o){return new(o||n)};static \u0275mod=gt({type:n});static \u0275inj=at({imports:[LT]})}return 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n{http=v(Mn);saved=ud();baseUrl="";model="";apiKey="";timeout=120;retries=0;busy=w(null);loading=w(!0);keyConfigured=w(!1);envPath=w("");message=w("");error=w("");ngOnInit(){this.http.get("/api/system/model-settings").pipe(Tt(()=>this.loading.set(!1))).subscribe({next:t=>this.apply(t),error:()=>this.error.set("\u914D\u7F6E\u52A0\u8F7D\u5931\u8D25\uFF0C\u8BF7\u5237\u65B0\u9875\u9762\u91CD\u8BD5\u3002")})}valid(){return!!this.baseUrl.trim()&&!!this.model.trim()&&(!!this.apiKey.trim()||this.keyConfigured())&&this.timeout>0&&this.timeout<=3600&&Number.isInteger(this.retries)&&this.retries>=0&&this.retries<=10}payload(){return{base_url:this.baseUrl.trim(),model:this.model.trim(),api_key:this.apiKey.trim()||void 0,timeout_seconds:this.timeout,max_retries:this.retries}}apply(t){this.baseUrl=t.base_url,this.model=t.model,this.timeout=t.timeout_seconds,this.retries=t.max_retries,this.keyConfigured.set(t.api_key_configured),this.envPath.set(t.env_path)}save(){this.busy()||!this.valid()||(this.busy.set("save"),this.message.set(""),this.error.set(""),this.http.post("/api/system/model-settings",this.payload()).pipe(Tt(()=>this.busy.set(null))).subscribe({next:t=>{this.apply(t),this.apiKey="",this.message.set(t.message||"\u914D\u7F6E\u5DF2\u4FDD\u5B58\u3002"),this.saved.emit()},error:t=>this.error.set(typeof t.error?.detail=="string"?t.error.detail:"\u4FDD\u5B58\u5931\u8D25\uFF0C\u8BF7\u68C0\u67E5\u914D\u7F6E\u5185\u5BB9\u3002")}))}test(){this.busy()||!this.valid()||(this.busy.set("test"),this.message.set(""),this.error.set(""),this.http.post("/api/system/model-settings/test",this.payload()).pipe(Tt(()=>this.busy.set(null))).subscribe({next:t=>this.message.set(t.message),error:t=>this.error.set(typeof 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c={goal:t,profile:e};o&&o.trim()&&(c.expected_output=o.trim()),i!==void 0&&(c.enable_outputter=i),r?.verificationLevel&&(c.verification_level=r.verificationLevel),r?.explorerMode&&(c.explorer_mode=r.explorerMode),this.clearUserPinnedSession(),this.http.post("/api/run",c).subscribe({next:u=>{if(u&&u.tasks&&u.tasks.length>0){let f=u.tasks[0].session_id;if(f){this.appendStartupProgress(F(x({},s),{session_id:f}),f),this.pendingStartupProgress.set([]);let _=this.agentStatus()==="running"||this.sessions().some(C=>C.status==="running"),h=this.runningSessionId()||this.sessions().find(C=>C.status==="running"||C.status==="paused")?.session_id;(!_||h===f)&&this.selectSession(f,!1)}}this.pendingStartupProgress.set([]),a.next(u),a.complete()},error:u=>{this.pendingStartupProgress.set([]),a.error(u)}})})}stopTask(t,e=!1){let o=null,i=e;typeof t=="boolean"?i=t:typeof t=="string"&&t.trim()?o=t.trim():o=this.currentSessionId()||this.runningSessionId()||null,!i&&!o&&(o=this.sessions().find(c=>c.status==="running"||c.status==="paused")?.session_id||null),o&&this.setSessionStatus(o,"cancelled");let r=this.sessions().filter(c=>(c.status==="running"||c.status==="paused")&&c.session_id!==o);i||r.length===0?(this.agentStatus.set("idle"),this.runningSessionId.set(null),this.runningGoal.set(null)):this.runningSessionId()===o&&(this.runningSessionId.set(r[0].session_id),this.runningGoal.set(r[0].initial_goal||null)),this.isPaused.set(!1),this.pausedError.set(null),this.isRetrying.set(!1),this.invalidateStatusSignatures(),i&&this.pendingQueue.set([]),(!o||this.currentSessionId()===o)&&(this.flushStreamChunks(),this.sessionLogs.update(c=>c.some(u=>u.type==="llm_stream"&&!u.data?.isCompleted)?c.map(u=>u.type==="llm_stream"&&!u.data?.isCompleted?F(x({},u),{data:F(x({},u.data),{isCompleted:!0})}):u):c)),o&&this.activeTasks.update(c=>c.filter(u=>u.session_id!==o));let a=`/api/stop?all=${i}`;!i&&o&&(a+=`&session_id=${encodeURIComponent(o)}`);let s={all:i};o&&(s.session_id=o),this.http.post(a,s).subscribe({next:()=>{this.fetchStatus(),this.fetchSessions()},error:c=>{console.error("Failed to stop task:",c),this.fetchSessions(),this.fetchStatus()}})}resumeTask(){this.http.post("/api/resume",{}).subscribe({next:t=>{if(t?.status!=="resumed"){this.fetchStatus();return}let e=this.runningSessionId();this.isPaused.set(!1),this.pausedError.set(null),this.agentStatus.set("running"),this.setSessionStatus(e,"running"),this.fetchStatus()},error:t=>{console.error("Failed to resume task:",t)}})}fetchSessions(){this.http.get("/api/sessions").subscribe({next:t=>{this.rawSessions.set(t),this.persistSessionsCache(t),!this.currentSessionId()&&!this.userPinnedSessionId()&&this.agentStatus()!=="running"&&t.length>0&&this.selectSession(t[0].session_id,!1)},error:t=>{console.error("Failed to fetch sessions from backend:",t)}})}deleteSession(t){if(this.invalidateStatusSignatures(),this.rawSessions.update(e=>e.filter(o=>o.session_id!==t)),this.persistSessionsCache(this.rawSessions()),this.pendingQueue.update(e=>e.filter(o=>o.session_id!==t)),this.userPinnedSessionId()===t&&this.userPinnedSessionId.set(null),this.currentSessionId()===t){this.selectSession("",!1),this.isVideoWindowOpen()&&this.closeVideoPlayer();let e=this.runningSessionId();e&&this.agentStatus()==="running"&&this.selectSession(e,!1)}return new te(e=>{this.http.post(`/api/sessions/${t}/delete`,{}).subscribe({next:o=>{this.fetchSessions(),this.fetchStatus(),e.next(o),e.complete()},error:o=>{console.error(`\u5220\u9664\u4F1A\u8BDD\u5931\u8D25\uFF1A${t}:`,o),this.fetchSessions(),this.fetchStatus(),e.error(o)}})})}clearAllHistory(){return this.invalidateStatusSignatures(),this.userPinnedSessionId.set(null),this.rawSessions.set([]),this.clearSessionsCache(),this.pendingQueue.set([]),this.selectSession("",!1),this.isVideoWindowOpen()&&this.closeVideoPlayer(),new te(t=>{this.http.post("/api/cleanup",{}).subscribe({next:e=>{this.fetchSessions(),this.fetchStatus(),t.next(e),t.complete()},error:e=>{console.error("Failed to cleanup history:",e),this.fetchSessions(),this.fetchStatus(),t.error(e)}})})}selectSession(t,e=!1){if(e&&(t&&t===this.runningSessionId()&&this.agentStatus()==="running"?this.userPinnedSessionId.set(null):t?this.userPinnedSessionId.set(t):this.userPinnedSessionId.set(null)),!t){this.sessionLoadGeneration++,this.pendingSnapshotRequests.clear(),this.discardPendingStreamChunks(),this.isSessionContentLoading.set(!1),this.currentSessionId.set(null),this.sessionLogs.set([]),this.currentNotes.set({});return}if(this.currentSessionId()===t)return;let o=++this.sessionLoadGeneration;this.pendingSnapshotRequests.clear(),this.discardPendingStreamChunks(),this.sessionSnapshotAppliedId=0,this.isSessionContentLoading.set(!0),this.currentSessionId.set(t),this.sessionLogs.set([]),this.activePauseCardKey=null,this.isPaused.set(!1),this.pausedError.set(null),this.fetchNotes(t),this.fetchChecks(t),this.isVideoWindowOpen()&&this.openVideoPlayer(t),console.debug(`Selecting session: ${t}`),this.backfillSessionSteps(t,o),this.ensureLiveStream()}ensureLiveStream(){this.eventSource||(console.debug("Establishing persistent unified live stream via /api/stream"),this.zone.runOutsideAngular(()=>{this.eventSource=new EventSource("/api/stream"),this.eventSource.addEventListener("info",()=>{let e=this.currentSessionId();e&&this.backfillSessionSteps(e)}),this.eventSource.addEventListener("keep-alive",()=>{}),["llm_stream","llm_stream_reset","trace_recorded","step_recorded","step_updated","background_tasks_updated","task_paused","task_resumed","llm_retrying","startup_progress","session_started","session_ended","recording_ready","recording_failed","checker_event"].forEach(e=>{this.eventSource?.addEventListener(e,o=>{try{let i=JSON.parse(o.data),r=i?.session_id;if(e!=="llm_stream"&&this.flushStreamChunks(),e==="recording_ready"||e==="recording_failed"){this.isVideoWindowOpen()&&r&&String(r)===String(this.activeVideoSessionId)&&(e==="recording_ready"?this.refreshActiveRecording(!0):(this.cancelVideoRetry(),this.isVideoLoading.set(!1),this.activeVideoUrl.set(null),this.activeVideoSegments.set([]),this.recordingPlaybackStatus.set("failed"),this.recordingPlaybackMessage.set(i?.error||"\u5F55\u5C4F\u6536\u5C3E\u5931\u8D25\u3002")));return}if(e==="background_tasks_updated"){this.fetchStatus();return}if(e==="session_started"){this.agentStatus.set("running"),i?.session_id&&this.runningSessionId.set(i.session_id),i?.initial_goal&&this.runningGoal.set(i.initial_goal),this.fetchSessions(),!this.userPinnedSessionId()&&i?.session_id&&this.selectSession(i.session_id,!1);return}if(e==="session_ended"){let s=r||this.runningSessionId();s&&(this.applySessionEndedStatus(s,i),this.invalidateStatusSignatures(),this.activeTasks.update(u=>u.filter(f=>f.session_id!==s)));let c=this.activeTasks();if(c.length>0)this.agentStatus.set("running"),this.runningSessionId.set(c[0].session_id),this.runningGoal.set(c[0].goal||null);else if(this.pendingQueue().length>0){let u=this.pendingQueue()[0];this.agentStatus.set("running"),this.runningSessionId.set(u.session_id),this.runningGoal.set(u.initial_goal||null)}else this.agentStatus.set("idle"),this.runningSessionId.set(null),this.runningGoal.set(null);this.isRetrying.set(!1),this.isPaused.set(!1),this.fetchSessions(),this.fetchStatus(),s&&(this.fetchNotes(s),String(s)===String(this.currentSessionId()||"")&&this.fetchChecks(s),this.isVideoWindowOpen()&&this.activeVideoSessionId===s&&this.recordingPlaybackStatus()==="live"&&this.beginRecordingFinalization(s));return}if(e==="startup_progress"){let s=r||this.currentSessionId();if(s){this.appendStartupProgress(i,s);let c=this.currentSessionId();!this.userPinnedSessionId()&&(!c||String(s).trim().toLowerCase()!==String(c).trim().toLowerCase())&&(this.agentStatus.set("running"),this.runningSessionId.set(s),this.selectSession(s,!1))}return}let a=this.currentSessionId();if(r&&a&&String(r).trim().toLowerCase()!==String(a).trim().toLowerCase())return;if(e==="llm_retrying"){this.isRetrying.set(!0);let s=Number(i.attempt||0),c=Number(i.max_retries||0),u=Number(i.delay||0),f=s&&c?`\uFF08\u7B2C ${s}/${c})`:"",_=u>0?`\uFF1B\u91CD\u8BD5\u7B49\u5F85 ${u.toFixed(2).replace(/\.00$/,"")}s`:"";this.retryMessage.set(`AI \u670D\u52A1\u6682\u65F6\u7E41\u5FD9${f}${_}...`),a&&this.appendLiveLLMRetryTrace(i,a);return}if(e==="task_paused"){if(this.isPaused.set(!0),this.isRetrying.set(!1),this.agentStatus.set("paused"),a){this.runningSessionId.set(a),this.setSessionStatus(a,"paused");let s=i.error||"\u6A21\u578B\u8C03\u7528\u5931\u8D25";this.pausedError.set(s),this.appendPausedErrorCard(s,a,i.timestamp,i.step_id,i)}return}if(e==="task_resumed"){this.isPaused.set(!1),this.isRetrying.set(!1),this.pausedError.set(null),a&&this.runningSessionId()===a&&(this.agentStatus.set("running"),this.setSessionStatus(a,"running")),this.activePauseCardKey=null;return}if((e==="step_updated"||e==="step_recorded"||e==="llm_stream")&&this.isRetrying.set(!1),e==="llm_stream_reset"){let s=i?.stream_exec_id||i?.stream_execution_id;if(s)for(let u of Array.from(this.pendingStreamChunks.keys()))(u.startsWith(`${s}|`)||u===s)&&this.pendingStreamChunks.delete(u);let c=i?.message||Do;this.streamResetEvent.set({stream_exec_id:s,stream_execution_id:s,step_id:i?.step_id,session_id:i?.session_id,action:i?.action||"discard",reason:i?.reason||"mid_stream_failure",category:i?.category,error:i?.error,message:c,retry_attempt:i?.retry_attempt,timestamp:Date.now()}),this.sessionLogs.update(u=>{let f=!1,_=u.map(h=>h.type==="llm_stream"&&h.data?.execution_id===s?(f=!0,F(x({},h),{data:F(x({},h.data),{isReset:!0,resetMessage:c})})):h);return!f&&s&&_.push({type:"llm_stream",timestamp:new Date().toISOString(),session_id:i?.session_id,data:{execution_id:s,step_id:i?.step_id,stream_type:"text",text:"",isCompleted:!1,isReset:!0,resetMessage:c}}),_});return}if(e==="llm_stream"?this.queueStreamChunk(i):this.sessionLogs.update(s=>{let u=s.some(h=>h.type==="llm_stream"&&!h.data.isCompleted)?s.map(h=>h.type==="llm_stream"&&!h.data.isCompleted?F(x({},h),{data:F(x({},h.data),{isCompleted:!0})}):h):[...s],f=typeof i?.timestamp=="number"?new Date(i.timestamp*1e3).toISOString():new Date().toISOString(),_={type:e,timestamp:f,data:i};if(e==="trace_recorded"&&i?.trace_id){let h=u.findIndex(C=>C.type==="trace_recorded"&&C.data?.trace_id===i.trace_id);if(h>-1){let C=[...u];return C[h]=_,C}}return[...u,_]}),e==="trace_recorded"&&i){let s=i.name||"";if(["save_note","read_note","update_note","append_note","list_notes","outputter"].includes(s.toLowerCase())){let c=this.currentSessionId();c&&this.fetchNotes(c)}}}catch(i){console.error(`Failed to parse ${e} event data:`,i),this.sessionLogs.update(r=>[...r,{type:e,timestamp:new Date().toISOString(),data:o.data}])}})}),this.eventSource.onerror=e=>{console.warn("Persistent live stream issue, browser will auto-reconnect:",e)}}))}queueStreamChunk(t){let e=t.execution_id,o=t.step_id,i=t.session_id||null,r=t.parent_trace_id||null,a=t.stream_type||"text",s=`${e}|${a}`,c=t.chunk!==void 0?t.chunk:t.text||"",u=this.pendingStreamChunks.get(s);if(u?(u.chunk+=c,o&&(u.stepId=o),i&&(u.sessionId=i),r&&(u.parentTraceId=r)):this.pendingStreamChunks.set(s,{execId:e,stepId:o,sessionId:i,parentTraceId:r,streamType:a,chunk:c}),!this.streamFlushTimer){let f=typeof document<"u"&&document.hidden?500:80;this.streamFlushTimer=setTimeout(()=>this.flushStreamChunks(),f)}}discardPendingStreamChunks(){this.pendingStreamChunks?.clear(),this.streamFlushTimer&&(clearTimeout(this.streamFlushTimer),this.streamFlushTimer=null)}flushStreamChunks(){if(this.streamFlushTimer&&(clearTimeout(this.streamFlushTimer),this.streamFlushTimer=null),!this.pendingStreamChunks?.size)return;let t=Array.from(this.pendingStreamChunks.values());this.pendingStreamChunks.clear(),this.sessionLogs.update(e=>{let o=[...e];for(let i of t){let r=o.findIndex(a=>a.type==="llm_stream"&&a.data.execution_id===i.execId&&(a.data.stream_type||"text")===i.streamType);if(r>-1){let a=o[r];o[r]=F(x({},a),{session_id:i.sessionId||a.session_id,data:F(x({},a.data),{session_id:i.sessionId||a.data?.session_id,text:(a.data.text||"")+i.chunk,step_id:i.stepId||a.data.step_id,parent_trace_id:i.parentTraceId||a.data.parent_trace_id||null})})}else o=o.map(a=>a.type==="llm_stream"&&(a.data.stream_type||"text")===i.streamType&&!a.data.isCompleted&&(a.data.parent_trace_id||null)===(i.parentTraceId||null)?F(x({},a),{data:F(x({},a.data),{isCompleted:!0})}):a),o.push({type:"llm_stream",timestamp:new Date().toISOString(),session_id:i.sessionId||void 0,data:{execution_id:i.execId,session_id:i.sessionId||void 0,step_id:i.stepId,parent_trace_id:i.parentTraceId||null,text:i.chunk,stream_type:i.streamType,isCompleted:!1}})}return o})}backfillSessionSteps(t,e=this.sessionLoadGeneration){let o=++this.sessionSnapshotRequestId;this.pendingSnapshotRequests.add(o),this.http.get(`/api/sessions/${t}/steps`).subscribe({next:i=>{if(this.pendingSnapshotRequests.delete(o),this.currentSessionId()!==t||e!==this.sessionLoadGeneration||o({type:"step_updated",session_id:t,timestamp:new Date((a.timestamp||Date.now()/1e3)*1e3).toISOString(),data:a,history_snapshot:!0}));this.sessionLogs.update(a=>[...r,...a.filter(s=>!s.history_snapshot)]),this.isSessionContentLoading.set(!1)},error:i=>{this.pendingSnapshotRequests.delete(o),console.error("Failed to backfill session steps:",i),this.currentSessionId()===t&&e===this.sessionLoadGeneration&&this.pendingSnapshotRequests.size===0&&this.isSessionContentLoading.set(!1)}}),this.http.get(`/api/sessions/${t}/startup_progress`).subscribe({next:i=>{Array.isArray(i)&&i.length>0&&this.startupProgressBySession.update(r=>{let s=[...r[t]||[]];for(let c of i)s.some(u=>u.stage===c.stage)||s.push(c);return F(x({},r),{[t]:s})})},error:()=>{}})}restoreSessionsCache(){try{let t=localStorage.getItem(E_);if(!t)return;let e=JSON.parse(t);Array.isArray(e)&&(this.lastPersistedSessionsJson=t,this.rawSessions.set(e))}catch(t){this.clearSessionsCache()}}persistSessionsCache(t){try{let e=JSON.stringify(t);if(e===this.lastPersistedSessionsJson)return;this.lastPersistedSessionsJson=e,localStorage.setItem(E_,e)}catch(e){}}clearSessionsCache(){this.lastPersistedSessionsJson=null;try{localStorage.removeItem(E_)}catch(t){}}appendLiveLLMRetryTrace(t,e){let o=typeof t?.timestamp=="number"?t.timestamp>1e11?t.timestamp/1e3:t.timestamp:Date.now()/1e3,i=t?.trace_id||`llm-retry-live-${t?.request_id||"unknown"}-${o}`,r={error:t?.error,delay:t?.delay,attempt:t?.attempt,max_retries:t?.max_retries,provider:t?.provider,source:t?.source,recoverable:t?.recoverable,request_id:t?.request_id,scheduled_at:t?.scheduled_at??o},a={trace_id:i,session_id:e,step_id:t?.step_id||null,type:"llm_call",name:"llm_retry",timestamp:o,status:"retrying",payload:r};this.sessionLogs.update(s=>{let c=s.findIndex(_=>_.type==="trace_recorded"&&(_.data?.trace_id===i||t?.request_id&&_.data?.payload?.request_id===t.request_id&&Number(_.data?.payload?.scheduled_at)===Number(r.scheduled_at))),u={type:"trace_recorded",session_id:e,timestamp:new Date(o*1e3).toISOString(),data:a};if(c<0)return[...s,u];let f=[...s];return f[c]=u,f})}appendPausedErrorCard(t,e,o,i,r){let a=typeof t=="string"?t:JSON.stringify(t),s=`${e}:${a}`;this.activePauseCardKey!==s&&(this.sessionLogs.update(c=>{if(c.some(h=>(h?.type==="trace_recorded"?[h.data]:Array.isArray(h?.data?.generic_tools)?h.data.generic_tools:[]).some(O=>O?.type==="llm_call"&&O?.status==="failed"&&String(O?.payload?.error??O?.error??"")===a)))return c;let f=i||[...c].reverse().find(h=>(h.type==="step_updated"||h.type==="step_recorded")&&h.data?.step_id)?.data?.step_id||null,_=typeof o=="number"?o<1e11?o*1e3:o:o?new Date(o).getTime():Date.now();return[...c,{type:"trace_recorded",session_id:e,timestamp:new Date(_).toISOString(),data:{trace_id:`task-paused-${e}-${_}`,session_id:e,step_id:f,type:"llm_call",name:"llm_pause",status:"failed",timestamp:_/1e3,payload:{error:a,pause:!0,request_id:r?.request_id,provider:r?.provider,waited_seconds:r?.waited_seconds,retries:Array.isArray(r?.retries)?r.retries:[]}}}]}),this.activePauseCardKey=s)}pollCounter=0;setSessionStatus(t,e){t&&(this.invalidateStatusSignatures(),this.rawSessions.update(o=>o.map(i=>i.session_id===t?F(x({},i),{status:e}):i)),this.pendingQueue.update(o=>o.map(i=>i.session_id===t?F(x({},i),{status:e}):i)))}applySessionEndedStatus(t,e){if(!t)return;let o=String(e?.status||"").toLowerCase(),i=e?.was_stopped_manually||o==="cancelled"?"cancelled":o==="failed"?"failed":o==="completed"||o==="success"?"completed":null;i&&(this.activeSessionTracking.delete(String(t)),this.setSessionStatus(String(t),i),this.invalidateStatusSignatures(),this.activeTasks.update(r=>r.filter(a=>a.session_id!==String(t))))}startStatusPolling(){this.fetchStatus(),this.zone.runOutsideAngular(()=>{this.statusInterval=setInterval(()=>{typeof document<"u"&&document.hidden||(this.fetchStatus(),this.pollCounter++,this.pollCounter%3===0&&this.fetchSessions())},2e3)})}invalidateStatusSignatures(){this.lastQueueSignature=null,this.lastActiveTasksSignature=null}fetchStatus(){this.http.get("/api/status").subscribe({next:t=>{if(t&&t.status){let e=this.agentStatus(),o=this.runningSessionId(),i=t.status==="running"||t.status==="paused";if(this.agentStatus.set(t.status),this.runningSessionId.set(t.session_id||null),this.runningGoal.set(t.goal||null),t.model_info&&this.activeModel.set(t.model_info),this.isPaused.set(t.status==="paused"),t.status==="paused"){this.isRetrying.set(!1);let s=t.paused_error||this.pausedError()||"\u6A21\u578B\u8BF7\u6C42\u5931\u8D25\uFF0C\u4EFB\u52A1\u5DF2\u6682\u505C\u3002";this.pausedError.set(s),t.session_id&&this.currentSessionId()===t.session_id&&this.appendPausedErrorCard(s,t.session_id)}else this.pausedError.set(null),this.activePauseCardKey=null;let r=JSON.stringify(t.queue||[]);if(r!==this.lastQueueSignature){this.lastQueueSignature=r;let s=(t.queue||[]).map((c,u)=>typeof c=="object"&&c!==null?{session_id:c.session_id||`pending-task-${u}`,initial_goal:c.goal||"",start_time:c.start_time||c.created_at||Date.now()/1e3+u,status:c.status||"pending",device_serial:c.device_serial||c.device_id||null}:{session_id:`task-queued-${u}`,initial_goal:String(c),start_time:Date.now()/1e3+u,status:"pending"});this.pendingQueue.set(s)}let a=JSON.stringify(t.active_tasks||[]);if(a!==this.lastActiveTasksSignature&&(this.lastActiveTasksSignature=a,this.activeTasks.set(t.active_tasks||[])),(e!==t.status||o!==t.session_id)&&this.fetchSessions(),!i&&(e==="running"||e==="paused")&&o&&this.isVideoWindowOpen()&&this.activeVideoSessionId===o&&this.recordingPlaybackStatus()==="live"&&this.beginRecordingFinalization(o),i&&t.session_id){let s=this.currentSessionId();(!s||!this.userPinnedSessionId()&&s!==t.session_id)&&this.selectSession(t.session_id,!1)}}},error:t=>{console.error("Failed to fetch status from backend:",t),this.agentStatus.set("offline"),this.runningSessionId.set(null),this.runningGoal.set(null)}})}destroy(){this.statusInterval&&(clearInterval(this.statusInterval),this.statusInterval=null),this.eventSource&&(this.eventSource.close(),this.eventSource=null),this.discardPendingStreamChunks(),typeof document<"u"&&document.removeEventListener("visibilitychange",this.onVisibilityChange),this.cancelVideoRetry()}fetchChecks(t){t&&this.http.get(`/api/sessions/${t}/checks`).subscribe({next:e=>{if(this.currentSessionId()!==t)return;let o=this.buildCheckerSnapshotLogs(t,e?.records||[],e?.run_outcome||null,e?.streams||[]);this.sessionLogs.update(i=>[...i.filter(r=>!r.checks_snapshot),...o])},error:e=>{console.error(`Failed to fetch checks for session ${t}:`,e)}})}buildCheckerSnapshotLogs(t,e,o,i=[]){let r=new Map,a=new Map;for(let c of i||[]){if(!c||!c.attempt_id)continue;let u=Bv(c);u.length>0&&a.set(String(c.attempt_id),u)}for(let c of e){if(!c||!c.attempt_id)continue;let u=String(c.attempt_id),f=String(c.checkpoint_id||""),_=r.get(u);_||(_={event:"attempt_finished",phase:f==="final"?"final":"checkpoint",attempt_id:u,checkpoint_id:f,subgoal_text:String(c.subgoal_text||(f==="final"?"\u6839\u636E\u7528\u6237\u539F\u59CB\u76EE\u6807\u8FDB\u884C\u6700\u7EC8\u68C0\u67E5":`\u5B50\u76EE\u6807 ${f.slice(0,8)}`)),anchor_step_id:c.anchor_step_id??null,trace_id:c.trace_id??null,status:"done",verdicts:[],findings:[],ts:typeof c.ts=="number"?c.ts:void 0,session_id:t},r.set(u,_)),typeof c.ts=="number"&&(_.ts=_.ts===void 0?c.ts:Math.min(_.ts,c.ts)),!_.trace_id&&c.trace_id&&(_.trace_id=c.trace_id),_.verdicts.push({item_text:String(c.item_text||""),kind:String(c.kind||""),status:String(c.status||""),evidence:String(c.evidence||""),suggestion:c.suggestion?String(c.suggestion):"",when:c.when?String(c.when):void 0})}let s=[];for(let c of r.values()){let u=new Set(c.verdicts.map(h=>h.status));if(u.size===1){let h=[...u][0];(h==="superseded"||h==="unchecked")&&(c.status=h)}let f=c.ts??Date.now()/1e3;c.timestamp=f;let _=a.get(c.attempt_id);_&&(c.stream_segments=_),s.push({type:"checker_event",session_id:t,timestamp:new Date(f*1e3).toISOString(),checks_snapshot:!0,data:c})}if(o&&typeof o=="object"){let u=(s.length>0?Math.max(...s.map(f=>new Date(f.timestamp).getTime()/1e3)):Date.now()/1e3)+.001;s.push({type:"checker_event",session_id:t,timestamp:new Date(u*1e3).toISOString(),checks_snapshot:!0,data:F(x({event:"run_outcome",phase:"outcome"},o),{ts:u,timestamp:u,session_id:t})})}return s}fetchNotes(t){if(!t){this.currentNotes.set({});return}this.http.get(`/api/sessions/${t}/notes`).subscribe({next:e=>{if(e&&e.notes){this.currentNotes.set(e.notes);let o=Object.keys(e.notes);if(o.length>0){let i=this.selectedNoteKey();o.includes(i)||(o.includes("task_plan.md")?this.selectedNoteKey.set("task_plan.md"):this.selectedNoteKey.set(o[0]))}}},error:e=>{console.error(`Failed to fetch notes for session ${t}:`,e)}})}openVideoPlayer(t,e,o,i,r){let a=t||this.currentSessionId(),s=this.sessions().find(f=>f.session_id===a),c=e||s?.video_url||null,u=o||s?.initial_goal||(a?`\u4EFB\u52A1\uFF1A${a.slice(0,8)}...`:"\u5C4F\u5E55\u5F55\u50CF");if(this.activeVideoTitle.set(u),this.isVideoWindowOpen.set(!0),this.isVideoMinimized.set(!1),this.activeVideoSessionId=a,this.cancelVideoRetry(),this.videoRequestGeneration++,this.shouldAutoplayVideo.set(!1),this.recordingPlaybackMessage.set(""),this.activeVideoSegments.set([]),Number.isFinite(i)&&this.requestVideoSeek(Number(i)),Number.isFinite(r)&&(this.playerMode?.set("steps"),this.requestStepSeek(Number(r))),!a){this.activeVideoUrl.set(null),this.isVideoLoading.set(!1),this.recordingPlaybackStatus.set("unavailable");return}if(s?.status==="running"||s?.status==="paused"){this.activeVideoUrl.set(null),this.isVideoLoading.set(!1),this.recordingPlaybackStatus.set("live");return}this.activeVideoUrl.set(c),this.shouldAutoplayVideo.set(!0),this.videoWaitStartedAt=Date.now(),this.isVideoLoading.set(!0),this.recordingPlaybackStatus.set("processing"),this.recordingPlaybackMessage.set("\u6B63\u5728\u52A0\u8F7D\u5C4F\u5E55\u5F55\u50CF\u2026"),c?this.playerMode?.set("video"):this.hasCurrentSessionStepFrames?.()?this.playerMode?.set("steps"):this.playerMode?.set("video"),this.requestSessionVideo(a,this.videoRequestGeneration)}appendStartupProgress(t,e){if(!t?.stage||!t?.message)return;let o=typeof t.timestamp=="number"?t.timestamp>1e11?t.timestamp/1e3:t.timestamp:Date.now()/1e3,i={session_id:String(t.session_id||e),stage:String(t.stage),message:String(t.message),timestamp:o},r=String(t.session_id||e).trim();this.startupProgressBySession.update(a=>{let s=[...a[r]||a[e]||[]],c=s.findIndex(f=>f.stage===i.stage);c>=0?s[c]=i:s.push(i),s.sort((f,_)=>f.timestamp-_.timestamp);let u=F(x({},a),{[r]:s});return e&&e!==r&&(u[e]=s),u})}beginRecordingFinalization(t){this.activeVideoSessionId===t&&(this.cancelVideoRetry(),this.videoRequestGeneration++,this.videoWaitStartedAt=Date.now(),this.activeVideoUrl.set(null),this.activeVideoSegments.set([]),this.shouldAutoplayVideo.set(!0),this.isVideoLoading.set(!0),this.recordingPlaybackStatus.set("processing"),this.recordingPlaybackMessage.set("\u6B63\u5728\u5B8C\u6210\u5F55\u5C4F\u5904\u7406\u2026"),this.requestSessionVideo(t,this.videoRequestGeneration))}requestSessionVideo(t,e){this.http.get(`/api/sessions/${t}/video`).subscribe({next:o=>{if(e!==this.videoRequestGeneration||t!==this.activeVideoSessionId)return;let i=o.status||(o.has_video&&o.video_url?"ready":"unavailable");if(i==="ready"&&o.video_url){this.cancelVideoRetry(),this.isVideoLoading.set(!1),this.recordingPlaybackStatus.set("ready"),this.recordingPlaybackMessage.set(""),this.activeVideoUrl.set(o.video_url),this.activeVideoSegments.set(o.video_segments||[]),this.playerMode?.set("video"),this.rawSessions.update(r=>r.map(a=>a.session_id===t?F(x({},a),{video_url:o.video_url||void 0,recording_status:"ready"}):a));return}if(i==="processing"){this.activeVideoUrl.set(null),this.activeVideoSegments.set([]),this.isVideoLoading.set(!0),this.recordingPlaybackStatus.set("processing"),this.recordingPlaybackMessage.set("\u6B63\u5728\u5B8C\u6210\u5F55\u5C4F\u5904\u7406\u2026"),this.scheduleVideoRetry(t,e,o.retry_after_ms);return}this.cancelVideoRetry(),this.isVideoLoading.set(!1),this.activeVideoUrl.set(null),this.activeVideoSegments.set([]),this.recordingPlaybackStatus.set(i==="failed"?"failed":"unavailable"),this.recordingPlaybackMessage.set(o.message||(i==="failed"?"\u5F55\u5C4F\u6536\u5C3E\u5931\u8D25\u3002":"\u6B64\u4EFB\u52A1\u6682\u65E0\u53EF\u7528\u5F55\u50CF\u3002")),this.hasCurrentSessionStepFrames?.()&&this.playerMode?.set("steps")},error:()=>{if(!(e!==this.videoRequestGeneration||t!==this.activeVideoSessionId)){if(this.recordingPlaybackStatus()==="processing"){this.scheduleVideoRetry(t,e,1e3);return}this.isVideoLoading.set(!1),this.recordingPlaybackStatus.set("failed"),this.recordingPlaybackMessage.set("\u65E0\u6CD5\u52A0\u8F7D\u5C4F\u5E55\u5F55\u50CF\u3002"),this.hasCurrentSessionStepFrames?.()&&this.playerMode?.set("steps")}}})}scheduleVideoRetry(t,e,o=1e3){if(this.cancelVideoRetry(),Date.now()-this.videoWaitStartedAt>12e4){this.isVideoLoading.set(!1),this.recordingPlaybackStatus.set("failed"),this.recordingPlaybackMessage.set("\u5F55\u5C4F\u5904\u7406\u8D85\u65F6\uFF0C\u53EF\u4EE5\u91CD\u8BD5\u3002");return}let i=Math.max(500,Math.min(3e3,o));this.videoRetryTimer=setTimeout(()=>{this.videoRetryTimer=null,this.requestSessionVideo(t,e)},i)}cancelVideoRetry(){this.videoRetryTimer&&(clearTimeout(this.videoRetryTimer),this.videoRetryTimer=null)}refreshActiveRecording(t){let e=this.activeVideoSessionId;e&&(this.cancelVideoRetry(),this.videoRequestGeneration++,t&&this.shouldAutoplayVideo.set(!0),this.requestSessionVideo(e,this.videoRequestGeneration))}retryVideoRecording(){let t=this.activeVideoSessionId;t&&this.beginRecordingFinalization(t)}consumeVideoAutoplay(){let t=this.shouldAutoplayVideo();return this.shouldAutoplayVideo.set(!1),t}requestVideoSeek(t){Number.isFinite(t)&&this.videoSeekRequest.set({seconds:Math.max(0,t),requestId:++this.videoSeekRequestId})}toggleVideoPlayer(){this.isVideoWindowOpen()?this.isVideoWindowOpen.set(!1):this.openVideoPlayer()}closeVideoPlayer(){this.isVideoWindowOpen.set(!1),this.cancelVideoRetry(),this.videoRequestGeneration++,this.activeVideoSessionId=null}static \u0275fac=function(e){return new(e||n)};static \u0275prov=ee({token:n,factory:n.\u0275fac,providedIn:"root"})};var wu=class n{http=v(Mn);readinessReport=w(null);hasReadinessReport=A(()=>this.readinessReport()!==null);isLoading=w(!1);isRestartingAdb=w(!1);adbServerStatus=w(null);isRemoteAdbServer=A(()=>this.adbServerStatus()?.endpoint.mode==="remote");launchingAvd=w(null);emulatorLaunchState=w(null);isEmulatorLaunching=A(()=>{let t=this.emulatorLaunchState()?.status;return t==="starting"||t==="waiting_for_adb"||t==="booting"});lastCheckedTime=w(null);emulatorPollTimer=null;pythonProbe=A(()=>this.probes().find(t=>t.id==="python_runtime")||null);configProbe=A(()=>this.probes().find(t=>t.id==="system_config")||null);toolchainProbe=A(()=>this.probes().find(t=>t.id==="toolchain")||null);adbProbe=A(()=>this.probes().find(t=>t.id==="android_adb")||null);llmProbe=A(()=>this.probes().find(t=>t.id==="openai_api_key"||t.id==="llm_api_key")||null);openaiProbe=A(()=>this.llmProbe());ocrProbe=A(()=>this.probes().find(t=>t.id==="vision_ocr_key"||t.id==="ocr_api_key")||null);isEnvironmentReady=A(()=>{let t=this.pythonProbe(),e=this.configProbe(),o=this.adbProbe(),i=this.toolchainProbe(),r=t?.status==="pass",a=e?.status==="pass",s=o?.metadata?.installed??o?.status!=="fail",c=i?.status==="pass"||i?.is_blocker===!1;return r&&a&&s&&c});isSkipCredentialsCheck=w(!1);isCredentialsReady=A(()=>this.isSkipCredentialsCheck()?!0:this.llmProbe()?.status==="pass");isDeviceReady=A(()=>this.adbProbe()?.status==="pass");totalStepCount=A(()=>3);passedStepCount=A(()=>{let t=0;return this.isEnvironmentReady()&&t++,this.isCredentialsReady()&&t++,this.isDeviceReady()&&t++,t});isReady=A(()=>this.isEnvironmentReady()&&this.isCredentialsReady()&&this.isDeviceReady());blockerCount=A(()=>this.totalStepCount());passedBlockerCount=A(()=>this.passedStepCount());probes=A(()=>this.readinessReport()?.probes??[]);activeDevice=A(()=>this.readinessReport()?.active_device??null);osType=A(()=>{let t=this.readinessReport()?.os_type;return t==="windows"||t==="win32"?"windows":t==="darwin"||t==="macos"||t==="mac"?"darwin":"linux"});skipCredentialsCheck(){this.isSkipCredentialsCheck.set(!0)}setSkipCredentialsCheck(t){this.isSkipCredentialsCheck.set(t)}connectedDevices=A(()=>{let t=this.adbProbe()?.metadata;return t&&Array.isArray(t.devices)?t.devices:[]});installedAvds=A(()=>{let t=this.adbProbe()?.metadata;return t&&Array.isArray(t.installed_avds)?t.installed_avds:[]});emulatorPath=A(()=>this.adbProbe()?.metadata?.emulator_path||null);isEmulatorInPath=A(()=>this.adbProbe()?.metadata?.is_emulator_in_path??!0);pollingTimer=null;readinessRequest$=null;zone=v(ce);lastAppliedReportJson=null;onVisibilityChange=()=>{typeof document<"u"&&!document.hidden&&this.fetchReadiness(!0).subscribe({error:()=>{}})};constructor(){this.startAutoPolling(3e3),typeof document<"u"&&document.addEventListener("visibilitychange",this.onVisibilityChange),v(Te).onDestroy(()=>{this.stopAutoPolling(),this.stopEmulatorStatusPolling(),typeof document<"u"&&document.removeEventListener("visibilitychange",this.onVisibilityChange)})}startAutoPolling(t=3e3){this.pollingTimer&&clearInterval(this.pollingTimer),this.zone.runOutsideAngular(()=>{this.pollingTimer=setInterval(()=>{typeof document<"u"&&document.hidden||this.fetchReadiness(!0).subscribe({error:()=>{}})},t)})}stopAutoPolling(){this.pollingTimer&&(clearInterval(this.pollingTimer),this.pollingTimer=null)}fetchReadiness(t=!1,e=!1){if(t||this.isLoading.set(!0),this.readinessRequest$)return this.readinessRequest$;let o=this.http.get("/api/system/readiness",{params:e?{force:!0}:{}}).pipe(Fe({next:i=>{this.applyReadinessReport(i)},error:i=>{console.error("Failed to fetch system readiness:",i)}}),Tt(()=>{this.readinessRequest$===o&&(this.readinessRequest$=null),this.isLoading.set(!1)}),Lc({bufferSize:1,refCount:!1}));return this.readinessRequest$=o,o}applyReadinessReport(t){let e=this.readinessReport();if(e&&t.timestamp{this.emulatorLaunchState.set(t),t.status==="ready"?(this.launchingAvd.set(null),this.stopEmulatorStatusPolling(),this.fetchReadiness().subscribe()):t.status==="failed"||t.status==="stopped"||t.status==="idle"?(this.launchingAvd.set(null),this.stopEmulatorStatusPolling()):t.avd_name&&this.launchingAvd.set(t.avd_name)},error:t=>{console.error("Failed to fetch emulator status:",t)}}))}startEmulatorStatusPolling(){this.emulatorPollTimer&&clearInterval(this.emulatorPollTimer),this.emulatorPollTimer=setInterval(()=>{this.fetchEmulatorStatus().subscribe({error:()=>{}})},1e3)}stopEmulatorStatusPolling(){this.emulatorPollTimer&&(clearInterval(this.emulatorPollTimer),this.emulatorPollTimer=null)}launchEmulator(t){return this.launchingAvd.set(t),this.emulatorLaunchState.set({avd_name:t,status:"starting",pid:null,serial:null,stage_message:"\u6B63\u5728\u542F\u52A8\u6A21\u62DF\u5668\u8FDB\u7A0B\u2026",progress_percent:15,started_at:Date.now()/1e3,elapsed_seconds:0,error:null,logs:[`Initiating launch for AVD: ${t}...`],can_retry:!0}),this.http.post("/api/system/emulator/launch",{avd_name:t}).pipe(Fe({next:e=>{this.emulatorLaunchState.set(e),e.status==="failed"?this.launchingAvd.set(null):this.startEmulatorStatusPolling()},error:e=>{console.error("Failed to launch emulator:",e),this.launchingAvd.set(null);let o=e?.error?.detail||e?.message||"\u542F\u52A8\u6A21\u62DF\u5668\u8FDB\u7A0B\u5931\u8D25\u3002";this.emulatorLaunchState.set({avd_name:t,status:"failed",pid:null,serial:null,stage_message:"\u542F\u52A8\u5931\u8D25\u3002",progress_percent:0,started_at:null,elapsed_seconds:0,error:o,logs:[o],can_retry:!0})}}))}stopEmulator(){return this.http.post("/api/system/emulator/stop",{}).pipe(Fe({next:()=>{this.launchingAvd.set(null),this.stopEmulatorStatusPolling(),this.fetchEmulatorStatus().subscribe(),this.fetchReadiness().subscribe()}}))}dismissEmulatorStatus(){return this.http.post("/api/system/emulator/dismiss",{}).pipe(Fe({next:()=>{this.emulatorLaunchState.set(null),this.launchingAvd.set(null),this.stopEmulatorStatusPolling()}}))}restartAdb(){return this.isRestartingAdb.set(!0),this.http.post("/api/system/adb/restart",{}).pipe(Fe({next:t=>{t?.report&&this.applyReadinessReport(t.report),this.isRestartingAdb.set(!1)},error:t=>{console.error("Failed to restart ADB server:",t),this.isRestartingAdb.set(!1)}}))}connectWirelessAdb(t,e=5555){return this.http.post("/api/system/adb/connect",{host:t,port:e}).pipe(Fe({next:o=>{o?.report&&this.applyReadinessReport(o.report)}}))}fetchAdbServerStatus(){return this.http.get("/api/system/adb/server").pipe(Fe(t=>this.adbServerStatus.set(t)))}probeAdbServer(t,e){return this.http.post("/api/system/adb/server/probe",{host:t,port:e,persist:!1})}connectAdbServer(t,e,o=!0){return this.http.post("/api/system/adb/server/connect",{host:t,port:e,persist:o}).pipe(Fe(i=>{i.connection_result.success&&(this.adbServerStatus.set({endpoint:i.connection_result.endpoint}),i.report&&this.applyReadinessReport(i.report))}))}useLocalAdbServer(t=!0){return this.http.post("/api/system/adb/server/local",{},{params:{persist:t}}).pipe(Fe(e=>{this.adbServerStatus.set({endpoint:e.connection_result.endpoint}),e.report&&this.applyReadinessReport(e.report)}))}selectDevice(t){return this.isLoading.set(!0),this.http.post("/api/system/devices/select",{serial:t}).pipe(Fe({next:e=>{e?.report&&this.applyReadinessReport(e.report),this.isLoading.set(!1)},error:e=>{console.error("Failed to select active device:",e),this.isLoading.set(!1)}}))}currentApiKey=A(()=>this.llmProbe()?.metadata?.current_key||"");apiKeysMap=A(()=>this.llmProbe()?.metadata?.api_keys||{});modelConfigEnv=w(null);fetchModelConfigEnv(){return this.http.get("/api/system/model-config-env").pipe(Fe({next:t=>{this.modelConfigEnv.set(t)},error:t=>{console.error("Failed to fetch model config and env:",t)}}))}testApiKey(t,e,o){return this.http.post("/api/system/credentials/test",{provider:t,api_key:e,base_url:o})}updateApiKey(t,e,o=!0){return this.http.post("/api/system/credentials",{provider:t,api_key:e,persist_to_env:o}).pipe(Fe({next:i=>{i?.report&&this.applyReadinessReport(i.report),this.fetchModelConfigEnv().subscribe()},error:i=>{console.error(`Failed to update credentials for ${t}:`,i)}}))}static \u0275fac=function(e){return new(e||n)};static \u0275prov=ee({token:n,factory:n.\u0275fac,providedIn:"root"})};var Yv={"com.google.android.apps.maps":{name:"\u5730\u56FE",icon:"explore",pkg:"com.google.android.apps.maps",category:"navigation"},"com.google.android.gm":{name:"Gmail",icon:"mail",pkg:"com.google.android.gm",category:"productivity"},"com.android.chrome":{name:"Chrome",icon:"public",pkg:"com.android.chrome",category:"browser"},"com.google.android.youtube":{name:"YouTube",icon:"smart_display",pkg:"com.google.android.youtube",category:"entertainment"},"com.android.settings":{name:"\u8BBE\u7F6E",icon:"settings",pkg:"com.android.settings",category:"system"},"com.google.android.deskclock":{name:"\u65F6\u949F",icon:"timer",pkg:"com.google.android.deskclock",category:"utility"},"com.android.deskclock":{name:"\u65F6\u949F",icon:"timer",pkg:"com.android.deskclock",category:"utility"},"com.google.android.calculator":{name:"\u8BA1\u7B97\u5668",icon:"calculate",pkg:"com.google.android.calculator",category:"utility"},"com.android.calculator2":{name:"\u8BA1\u7B97\u5668",icon:"calculate",pkg:"com.android.calculator2",category:"utility"},"com.google.android.apps.photos":{name:"\u76F8\u518C",icon:"photo_library",pkg:"com.google.android.apps.photos",category:"media"},"com.google.android.calendar":{name:"\u65E5\u5386",icon:"calendar_month",pkg:"com.google.android.calendar",category:"productivity"},"com.google.android.keep":{name:"Keep 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t=this.llmProbe()?.metadata;return t&&Array.isArray(t.providers)?t.providers:[]});selectedOs=w(null);effectiveOs=A(()=>this.selectedOs()||this.systemService.osType());oneClickSetupCmd=A(()=>this.effectiveOs()==="windows"?"powershell -ExecutionPolicy Bypass -File scripts/install_deps.ps1":"bash scripts/install_deps.sh");adbInstallCmd=A(()=>{let t=this.effectiveOs();return t==="windows"?"winget install Google.PlatformTools":t==="darwin"?"brew install android-platform-tools":"sudo apt-get install -y adb"});toolchainInstallCmd=A(()=>{let t=this.effectiveOs();return t==="windows"?"winget install Gyan.FFmpeg Genymobile.scrcpy":t==="darwin"?"brew install ffmpeg scrcpy":"sudo apt-get install -y ffmpeg scrcpy"});emuHypervisorTitle=A(()=>{let t=this.effectiveOs();return t==="windows"?"\u542F\u7528 Windows \u865A\u62DF\u673A\u76D1\u63A7\u7A0B\u5E8F\u5E73\u53F0\uFF08WHPX\uFF09":t==="darwin"?"\u68C0\u67E5 macOS \u865A\u62DF\u5316\u5E76\u5B89\u88C5\u5DE5\u5177":"\u542F\u7528 KVM 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Set});filteredSuggestions=A(()=>this.taskRecService.filterAndRankTasks(this.installedPackages(),this.selectedCategory(),this.shuffleOffset()));focusListener=()=>{this.systemService.fetchReadiness().subscribe()};ngOnInit(){this.loadProTuningDefaults(),this.systemService.fetchReadiness().subscribe(),this.systemService.fetchModelConfigEnv().subscribe(),this.systemService.fetchAdbServerStatus().subscribe({next:t=>{t.endpoint.mode==="remote"&&(this.remoteAdbHost.set(t.endpoint.host),this.remoteAdbPort.set(String(t.endpoint.port)),this.activeAdbGuideTab.set("remote"))},error:()=>{}}),window.addEventListener("focus",this.focusListener)}ngOnDestroy(){window.removeEventListener("focus",this.focusListener)}setTab(t){this.activeTab.set(t),t==="diagnostics"&&(this.systemService.fetchReadiness().subscribe(),this.systemService.fetchModelConfigEnv().subscribe())}setSelectedOs(t){this.selectedOs.set(t)}setAdbGuideTab(t){this.activeAdbGuideTab.set(t),this.remoteAdbError.set(null),this.remoteAdbMessage.set(null)}setEmulatorSetupMode(t){this.emulatorSetupMode.set(t)}skipCredentialsCheck(){this.systemService.skipCredentialsCheck()}refreshReadiness(){this.isRefreshingDiagnostics.set(!0),this.systemService.fetchReadiness(!1,!0).subscribe({next:()=>{this.systemService.fetchModelConfigEnv().subscribe({next:()=>{setTimeout(()=>this.isRefreshingDiagnostics.set(!1),450)},error:()=>this.isRefreshingDiagnostics.set(!1)})},error:()=>this.isRefreshingDiagnostics.set(!1)})}restartAdbServer(){this.adbRestartFeedback.set(null),this.systemService.restartAdb().subscribe({next:t=>{this.adbRestartFeedback.set(t?.restart_result?.skipped?"\u8BBE\u5907\u5DF2\u5237\u65B0 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Ru=class{_viewportRuler;_previousHTMLStyles={top:"",left:""};_previousScrollPosition;_isEnabled=!1;_document;constructor(t,e){this._viewportRuler=t,this._document=e}attach(){}enable(){if(this._canBeEnabled()){let t=this._document.documentElement;this._previousScrollPosition=this._viewportRuler.getViewportScrollPosition(),this._previousHTMLStyles.left=t.style.left||"",this._previousHTMLStyles.top=t.style.top||"",t.style.left=et(-this._previousScrollPosition.left),t.style.top=et(-this._previousScrollPosition.top),t.classList.add("cdk-global-scrollblock"),this._isEnabled=!0}}disable(){if(this._isEnabled){let t=this._document.documentElement,e=this._document.body,o=t.style,i=e.style,r=o.scrollBehavior||"",a=i.scrollBehavior||"";this._isEnabled=!1,o.left=this._previousHTMLStyles.left,o.top=this._previousHTMLStyles.top,t.classList.remove("cdk-global-scrollblock"),oy&&(o.scrollBehavior=i.scrollBehavior="auto"),window.scroll(this._previousScrollPosition.left,this._previousScrollPosition.top),oy&&(o.scrollBehavior=r,i.scrollBehavior=a)}}_canBeEnabled(){if(this._document.documentElement.classList.contains("cdk-global-scrollblock")||this._isEnabled)return!1;let e=this._document.documentElement,o=this._viewportRuler.getViewportSize();return e.scrollHeight>o.height||e.scrollWidth>o.width}};function uy(n,t){return new Fu(n.get(N_),n.get(ce),n.get(qs),t)}var Fu=class{_scrollDispatcher;_ngZone;_viewportRuler;_config;_scrollSubscription=null;_overlayRef;_initialScrollPosition;constructor(t,e,o,i){this._scrollDispatcher=t,this._ngZone=e,this._viewportRuler=o,this._config=i}attach(t){this._overlayRef,this._overlayRef=t}enable(){if(this._scrollSubscription)return;let t=this._scrollDispatcher.scrolled(0).pipe(vt(e=>!e||!this._overlayRef.overlayElement.contains(e.getElementRef().nativeElement)));this._config&&this._config.threshold&&this._config.threshold>1?(this._initialScrollPosition=this._viewportRuler.getViewportScrollPosition().top,this._scrollSubscription=t.subscribe(()=>{let e=this._viewportRuler.getViewportScrollPosition().top;Math.abs(e-this._initialScrollPosition)>this._config.threshold?this._detach():this._overlayRef.updatePosition()})):this._scrollSubscription=t.subscribe(this._detach)}disable(){this._scrollSubscription&&(this._scrollSubscription.unsubscribe(),this._scrollSubscription=null)}detach(){this.disable(),this._overlayRef=null}_detach=()=>{this.disable(),this._overlayRef.hasAttached()&&this._ngZone.run(()=>this._overlayRef.detach())}};var Zs=class{enable(){}disable(){}attach(){}};function z_(n,t){return t.some(e=>{let o=n.bottome.bottom,r=n.righte.right;return o||i||r||a})}function iy(n,t){return t.some(e=>{let o=n.tope.bottom,r=n.lefte.right;return o||i||r||a})}function H_(n,t){return new Nu(n.get(N_),n.get(qs),n.get(ce),t)}var Nu=class{_scrollDispatcher;_viewportRuler;_ngZone;_config;_scrollSubscription=null;_overlayRef;constructor(t,e,o,i){this._scrollDispatcher=t,this._viewportRuler=e,this._ngZone=o,this._config=i}attach(t){this._overlayRef,this._overlayRef=t}enable(){if(!this._scrollSubscription){let t=this._config?this._config.scrollThrottle:0;this._scrollSubscription=this._scrollDispatcher.scrolled(t).subscribe(()=>{if(this._overlayRef.updatePosition(),this._config&&this._config.autoClose){let e=this._overlayRef.overlayElement.getBoundingClientRect(),{width:o,height:i}=this._viewportRuler.getViewportSize();z_(e,[{width:o,height:i,bottom:i,right:o,top:0,left:0}])&&(this.disable(),this._ngZone.run(()=>this._overlayRef.detach()))}})}}disable(){this._scrollSubscription&&(this._scrollSubscription.unsubscribe(),this._scrollSubscription=null)}detach(){this.disable(),this._overlayRef=null}},gy=(()=>{class n{_injector=v(Ne);noop=()=>new Zs;close=e=>uy(this._injector,e);block=()=>dy(this._injector);reposition=e=>H_(this._injector,e);static \u0275fac=function(o){return new(o||n)};static \u0275prov=oe({token:n,factory:n.\u0275fac})}return n})(),Xs=class{positionStrategy;scrollStrategy=new Zs;panelClass="";hasBackdrop=!1;backdropClass="cdk-overlay-dark-backdrop";disableAnimations;width;height;minWidth;minHeight;maxWidth;maxHeight;direction;disposeOnNavigation=!1;usePopover;eventPredicate;constructor(t){if(t){let e=Object.keys(t);for(let o of e)t[o]!==void 0&&(this[o]=t[o])}}};var Lu=class{connectionPair;scrollableViewProperties;constructor(t,e){this.connectionPair=t,this.scrollableViewProperties=e}};var py=(()=>{class n{_attachedOverlays=[];_document=v(Me);_isAttached=!1;ngOnDestroy(){this.detach()}add(e){this.remove(e),this._attachedOverlays.push(e)}remove(e){let o=this._attachedOverlays.indexOf(e);o>-1&&this._attachedOverlays.splice(o,1),this._attachedOverlays.length===0&&this.detach()}canReceiveEvent(e,o,i){return i.observers.length<1?!1:e.eventPredicate?e.eventPredicate(o):!0}static \u0275fac=function(o){return new(o||n)};static \u0275prov=oe({token:n,factory:n.\u0275fac})}return n})(),fy=(()=>{class n extends py{_ngZone=v(ce);_renderer=v($t).createRenderer(null,null);_cleanupKeydown;add(e){super.add(e),this._isAttached||(this._ngZone.runOutsideAngular(()=>{this._cleanupKeydown=this._renderer.listen("body","keydown",this._keydownListener)}),this._isAttached=!0)}detach(){this._isAttached&&(this._cleanupKeydown?.(),this._isAttached=!1)}_keydownListener=e=>{let o=this._attachedOverlays;for(let i=o.length-1;i>-1;i--){let r=o[i];if(this.canReceiveEvent(r,e,r._keydownEvents)){this._ngZone.run(()=>r._keydownEvents.next(e));break}}};static \u0275fac=function(o){return new(o||n)};static \u0275prov=oe({token:n,factory:n.\u0275fac})}return n})(),my=(()=>{class n extends py{_platform=v(ir);_ngZone=v(ce);_renderer=v($t).createRenderer(null,null);_cursorOriginalValue;_cursorStyleIsSet=!1;_pointerDownEventTarget=null;_cleanups;add(e){if(super.add(e),!this._isAttached){let o=this._document.body,i={capture:!0},r=this._renderer;this._cleanups=this._ngZone.runOutsideAngular(()=>[r.listen(o,"pointerdown",this._pointerDownListener,i),r.listen(o,"click",this._clickListener,i),r.listen(o,"auxclick",this._clickListener,i),r.listen(o,"contextmenu",this._clickListener,i)]),this._platform.IOS&&!this._cursorStyleIsSet&&(this._cursorOriginalValue=o.style.cursor,o.style.cursor="pointer",this._cursorStyleIsSet=!0),this._isAttached=!0}}detach(){this._isAttached&&(this._cleanups?.forEach(e=>e()),this._cleanups=void 0,this._platform.IOS&&this._cursorStyleIsSet&&(this._document.body.style.cursor=this._cursorOriginalValue,this._cursorStyleIsSet=!1),this._isAttached=!1)}_pointerDownListener=e=>{this._pointerDownEventTarget=Du(e)};_clickListener=e=>{let o=Du(e),i=e.type==="click"&&this._pointerDownEventTarget?this._pointerDownEventTarget:o;this._pointerDownEventTarget=null;let r=this._attachedOverlays.slice();for(let a=r.length-1;a>-1;a--){let s=r[a],c=s._outsidePointerEvents;if(!(!s.hasAttached()||!this.canReceiveEvent(s,e,c))){if(ry(s.overlayElement,o)||ry(s.overlayElement,i))break;this._ngZone?this._ngZone.run(()=>c.next(e)):c.next(e)}}};static \u0275fac=function(o){return new(o||n)};static \u0275prov=oe({token:n,factory:n.\u0275fac})}return n})();function ry(n,t){let e=typeof ShadowRoot<"u"&&ShadowRoot,o=t;for(;o;){if(o===n)return!0;o=e&&o instanceof ShadowRoot?o.host:o.parentNode}return!1}var _y=(()=>{class n{static \u0275fac=function(o){return new(o||n)};static \u0275cmp=Ae({type:n,selectors:[["ng-component"]],hostAttrs:["cdk-overlay-style-loader",""],decls:0,vars:0,template:function(o,i){},styles:[`.cdk-overlay-container, .cdk-global-overlay-wrapper { + pointer-events: none; + top: 0; + left: 0; + height: 100%; + width: 100%; +} + +.cdk-overlay-container { + position: fixed; +} +@layer cdk-overlay { + .cdk-overlay-container { + z-index: 1000; + } +} +.cdk-overlay-container:empty { + display: none; +} + +.cdk-global-overlay-wrapper { + display: flex; + position: absolute; +} +@layer cdk-overlay { + .cdk-global-overlay-wrapper { + z-index: 1000; + } +} + +.cdk-overlay-pane { + position: absolute; + pointer-events: auto; + box-sizing: border-box; + display: flex; + max-width: 100%; + max-height: 100%; +} +@layer cdk-overlay { + .cdk-overlay-pane { + z-index: 1000; + } +} + +.cdk-overlay-backdrop { + position: absolute; + top: 0; + bottom: 0; + left: 0; + right: 0; + pointer-events: auto; + -webkit-tap-highlight-color: transparent; + opacity: 0; + touch-action: manipulation; +} +@layer cdk-overlay { + .cdk-overlay-backdrop { + z-index: 1000; + transition: opacity 400ms cubic-bezier(0.25, 0.8, 0.25, 1); + } +} +@media (prefers-reduced-motion) { + .cdk-overlay-backdrop { + transition-duration: 1ms; + } +} + +.cdk-overlay-backdrop-showing { + opacity: 1; +} +@media (forced-colors: active) { + .cdk-overlay-backdrop-showing { + opacity: 0.6; + } +} + +@layer cdk-overlay { + .cdk-overlay-dark-backdrop { + background: rgba(0, 0, 0, 0.32); + } +} + +.cdk-overlay-transparent-backdrop { + transition: visibility 1ms linear, opacity 1ms linear; + visibility: hidden; + opacity: 1; +} +.cdk-overlay-transparent-backdrop.cdk-overlay-backdrop-showing, .cdk-high-contrast-active .cdk-overlay-transparent-backdrop { + opacity: 0; + visibility: visible; +} + +.cdk-overlay-backdrop-noop-animation { + transition: none; +} + +.cdk-overlay-connected-position-bounding-box { + position: absolute; + display: flex; + flex-direction: column; + min-width: 1px; + min-height: 1px; +} +@layer cdk-overlay { + .cdk-overlay-connected-position-bounding-box { + z-index: 1000; + } +} + +.cdk-global-scrollblock { + position: fixed; + width: 100%; + overflow-y: scroll; +} + +.cdk-overlay-popover { + background: none; + border: none; + padding: 0; + outline: 0; + overflow: visible; + position: fixed; + pointer-events: none; + white-space: normal; + color: inherit; + text-decoration: none; + width: 100%; + height: 100%; + inset: auto; + top: 0; + left: 0; +} +.cdk-overlay-popover::backdrop { + display: none; +} +.cdk-overlay-popover .cdk-overlay-backdrop { + position: fixed; + z-index: auto; +} +`],encapsulation:2})}return n})(),hy=(()=>{class n{_platform=v(ir);_containerElement;_document=v(Me);_styleLoader=v(A_);ngOnDestroy(){this._containerElement?.remove()}getContainerElement(){return this._loadStyles(),this._containerElement||this._createContainer(),this._containerElement}_createContainer(){let e="cdk-overlay-container";if(this._platform.isBrowser||T_()){let i=this._document.querySelectorAll(`.${e}[platform="server"], .${e}[platform="test"]`);for(let r=0;r{let t=this.element;clearTimeout(this._fallbackTimeout),this._cleanupTransitionEnd?.(),this._cleanupTransitionEnd=this._renderer.listen(t,"transitionend",this.dispose),this._fallbackTimeout=setTimeout(this.dispose,500),t.style.pointerEvents="none",t.classList.remove("cdk-overlay-backdrop-showing")})}dispose=()=>{clearTimeout(this._fallbackTimeout),this._cleanupClick?.(),this._cleanupTransitionEnd?.(),this._cleanupClick=this._cleanupTransitionEnd=this._fallbackTimeout=void 0,this.element.remove()}};function U_(n){return n&&n.nodeType===1}var Vu=class{_portalOutlet;_host;_pane;_config;_ngZone;_keyboardDispatcher;_document;_location;_outsideClickDispatcher;_animationsDisabled;_injector;_renderer;_backdropClick=new fe;_attachments=new fe;_detachments=new fe;_positionStrategy;_scrollStrategy;_locationChanges=Oe.EMPTY;_backdropRef=null;_detachContentMutationObserver;_detachContentAfterRenderRef;_disposed=!1;_previousHostParent;_keydownEvents=new fe;_outsidePointerEvents=new fe;_afterNextRenderRef;constructor(t,e,o,i,r,a,s,c,u,f=!1,_,h){this._portalOutlet=t,this._host=e,this._pane=o,this._config=i,this._ngZone=r,this._keyboardDispatcher=a,this._document=s,this._location=c,this._outsideClickDispatcher=u,this._animationsDisabled=f,this._injector=_,this._renderer=h,i.scrollStrategy&&(this._scrollStrategy=i.scrollStrategy,this._scrollStrategy.attach(this)),this._positionStrategy=i.positionStrategy}get overlayElement(){return this._pane}get backdropElement(){return this._backdropRef?.element||null}get hostElement(){return this._host}get eventPredicate(){return this._config?.eventPredicate||null}attach(t){if(this._disposed)return null;this._attachHost();let e=this._portalOutlet.attach(t);return this._positionStrategy?.attach(this),this._updateStackingOrder(),this._updateElementSize(),this._updateElementDirection(),this._scrollStrategy&&this._scrollStrategy.enable(),this._afterNextRenderRef?.destroy(),this._afterNextRenderRef=Po(()=>{this.hasAttached()&&this.updatePosition()},{injector:this._injector}),this._togglePointerEvents(!0),this._config.hasBackdrop&&this._attachBackdrop(),this._config.panelClass&&this._toggleClasses(this._pane,this._config.panelClass,!0),this._attachments.next(),this._completeDetachContent(),this._keyboardDispatcher.add(this),this._config.disposeOnNavigation&&(this._locationChanges=this._location.subscribe(()=>this.dispose())),this._outsideClickDispatcher.add(this),typeof e?.onDestroy=="function"&&e.onDestroy(()=>{this.hasAttached()&&this._ngZone.runOutsideAngular(()=>Promise.resolve().then(()=>this.detach()))}),e}detach(){if(!this.hasAttached())return;this.detachBackdrop(),this._togglePointerEvents(!1),this._positionStrategy&&this._positionStrategy.detach&&this._positionStrategy.detach(),this._scrollStrategy&&this._scrollStrategy.disable();let t=this._portalOutlet.detach();return this._detachments.next(),this._completeDetachContent(),this._keyboardDispatcher.remove(this),this._detachContentWhenEmpty(),this._locationChanges.unsubscribe(),this._outsideClickDispatcher.remove(this),t}dispose(){if(this._disposed)return;let t=this.hasAttached();this._positionStrategy&&this._positionStrategy.dispose(),this._disposeScrollStrategy(),this._backdropRef?.dispose(),this._locationChanges.unsubscribe(),this._keyboardDispatcher.remove(this),this._portalOutlet.dispose(),this._attachments.complete(),this._backdropClick.complete(),this._keydownEvents.complete(),this._outsidePointerEvents.complete(),this._outsideClickDispatcher.remove(this),this._host?.remove(),this._afterNextRenderRef?.destroy(),this._previousHostParent=this._pane=this._host=this._backdropRef=null,t&&this._detachments.next(),this._detachments.complete(),this._completeDetachContent(),this._disposed=!0}hasAttached(){return this._portalOutlet.hasAttached()}backdropClick(){return this._backdropClick}attachments(){return this._attachments}detachments(){return this._detachments}keydownEvents(){return this._keydownEvents}outsidePointerEvents(){return this._outsidePointerEvents}getConfig(){return this._config}updatePosition(){this._positionStrategy&&this._positionStrategy.apply()}updatePositionStrategy(t){t!==this._positionStrategy&&(this._positionStrategy&&this._positionStrategy.dispose(),this._positionStrategy=t,this.hasAttached()&&(t.attach(this),this.updatePosition()))}updateSize(t){this._config=x(x({},this._config),t),this._updateElementSize()}setDirection(t){this._config=F(x({},this._config),{direction:t}),this._updateElementDirection()}addPanelClass(t){this._pane&&this._toggleClasses(this._pane,t,!0)}removePanelClass(t){this._pane&&this._toggleClasses(this._pane,t,!1)}getDirection(){let t=this._config.direction;return t?typeof t=="string"?t:t.value:"ltr"}updateScrollStrategy(t){t!==this._scrollStrategy&&(this._disposeScrollStrategy(),this._scrollStrategy=t,this.hasAttached()&&(t.attach(this),t.enable()))}_updateElementDirection(){this._host.setAttribute("dir",this.getDirection())}_updateElementSize(){if(!this._pane)return;let t=this._pane.style;t.width=et(this._config.width),t.height=et(this._config.height),t.minWidth=et(this._config.minWidth),t.minHeight=et(this._config.minHeight),t.maxWidth=et(this._config.maxWidth),t.maxHeight=et(this._config.maxHeight)}_togglePointerEvents(t){this._pane.style.pointerEvents=t?"":"none"}_attachHost(){if(!this._host.parentElement){let t=this._config.usePopover?this._positionStrategy?.getPopoverInsertionPoint?.():null;U_(t)?t.after(this._host):t?.type==="parent"?t.element.appendChild(this._host):this._previousHostParent?.appendChild(this._host)}if(this._config.usePopover)try{this._host.showPopover()}catch(t){}}_attachBackdrop(){let t="cdk-overlay-backdrop-showing";this._backdropRef?.dispose(),this._backdropRef=new $_(this._document,this._renderer,this._ngZone,e=>{this._backdropClick.next(e)}),this._animationsDisabled&&this._backdropRef.element.classList.add("cdk-overlay-backdrop-noop-animation"),this._config.backdropClass&&this._toggleClasses(this._backdropRef.element,this._config.backdropClass,!0),this._config.usePopover?this._host.prepend(this._backdropRef.element):this._host.parentElement.insertBefore(this._backdropRef.element,this._host),!this._animationsDisabled&&typeof requestAnimationFrame<"u"?this._ngZone.runOutsideAngular(()=>{requestAnimationFrame(()=>this._backdropRef?.element.classList.add(t))}):this._backdropRef.element.classList.add(t)}_updateStackingOrder(){!this._config.usePopover&&this._host.nextSibling&&this._host.parentNode.appendChild(this._host)}detachBackdrop(){this._animationsDisabled?(this._backdropRef?.dispose(),this._backdropRef=null):this._backdropRef?.detach()}_toggleClasses(t,e,o){let i=R_(e||[]).filter(r=>!!r);i.length&&(o?t.classList.add(...i):t.classList.remove(...i))}_detachContentWhenEmpty(){let t=!1;try{this._detachContentAfterRenderRef=Po(()=>{t=!0,this._detachContent()},{injector:this._injector})}catch(e){if(t)throw e;this._detachContent()}globalThis.MutationObserver&&this._pane&&(this._detachContentMutationObserver||=new globalThis.MutationObserver(()=>{this._detachContent()}),this._detachContentMutationObserver.observe(this._pane,{childList:!0}))}_detachContent(){(!this._pane||!this._host||this._pane.children.length===0)&&(this._pane&&this._config.panelClass&&this._toggleClasses(this._pane,this._config.panelClass,!1),this._host&&this._host.parentElement&&(this._previousHostParent=this._host.parentElement,this._host.remove()),this._completeDetachContent())}_completeDetachContent(){this._detachContentAfterRenderRef?.destroy(),this._detachContentAfterRenderRef=void 0,this._detachContentMutationObserver?.disconnect()}_disposeScrollStrategy(){let t=this._scrollStrategy;t?.disable(),t?.detach?.()}},ay="cdk-overlay-connected-position-bounding-box",pR=/([A-Za-z%]+)$/;function W_(n,t){return new Bu(t,n.get(qs),n.get(Me),n.get(ir),n.get(hy))}var Bu=class{_viewportRuler;_document;_platform;_overlayContainer;_overlayRef;_isInitialRender=!1;_lastBoundingBoxSize={width:0,height:0};_isPushed=!1;_canPush=!0;_growAfterOpen=!1;_hasFlexibleDimensions=!0;_positionLocked=!1;_originRect;_overlayRect;_viewportRect;_containerRect;_viewportMargin=0;_scrollables=[];_preferredPositions=[];_origin;_pane;_isDisposed=!1;_boundingBox=null;_lastPosition=null;_lastScrollVisibility=null;_positionChanges=new fe;_resizeSubscription=Oe.EMPTY;_offsetX=0;_offsetY=0;_transformOriginSelector;_appliedPanelClasses=[];_previousPushAmount=null;_popoverLocation="global";positionChanges=this._positionChanges;get positions(){return this._preferredPositions}constructor(t,e,o,i,r){this._viewportRuler=e,this._document=o,this._platform=i,this._overlayContainer=r,this.setOrigin(t)}attach(t){this._overlayRef&&this._overlayRef,this._validatePositions(),t.hostElement.classList.add(ay),this._overlayRef=t,this._boundingBox=t.hostElement,this._pane=t.overlayElement,this._isDisposed=!1,this._isInitialRender=!0,this._lastPosition=null,this._resizeSubscription.unsubscribe(),this._resizeSubscription=this._viewportRuler.change().subscribe(()=>{this._isInitialRender=!0,this.apply()})}apply(){if(this._isDisposed||!this._platform.isBrowser)return;if(!this._isInitialRender&&this._positionLocked&&this._lastPosition){this.reapplyLastPosition();return}this._clearPanelClasses(),this._resetOverlayElementStyles(),this._resetBoundingBoxStyles(),this._viewportRect=this._getNarrowedViewportRect(),this._originRect=this._getOriginRect(),this._overlayRect=this._pane.getBoundingClientRect(),this._containerRect=this._getContainerRect();let t=this._originRect,e=this._overlayRect,o=this._viewportRect,i=this._containerRect,r=[],a;for(let s of this._preferredPositions){let c=this._getOriginPoint(t,i,s),u=this._getOverlayPoint(c,e,s),f=this._getOverlayFit(u,e,o,s);if(f.isCompletelyWithinViewport){this._isPushed=!1,this._applyPosition(s,c);return}if(this._canFitWithFlexibleDimensions(f,u,o)){r.push({position:s,origin:c,overlayRect:e,boundingBoxRect:this._calculateBoundingBoxRect(c,s)});continue}(!a||a.overlayFit.visibleAreac&&(c=f,s=u)}this._isPushed=!1,this._applyPosition(s.position,s.origin);return}if(this._canPush){this._isPushed=!0,this._applyPosition(a.position,a.originPoint);return}this._applyPosition(a.position,a.originPoint)}detach(){this._clearPanelClasses(),this._lastPosition=null,this._previousPushAmount=null,this._resizeSubscription.unsubscribe()}dispose(){this._isDisposed||(this._boundingBox&&ar(this._boundingBox.style,{top:"",left:"",right:"",bottom:"",height:"",width:"",alignItems:"",justifyContent:""}),this._pane&&this._resetOverlayElementStyles(),this._overlayRef&&this._overlayRef.hostElement.classList.remove(ay),this.detach(),this._positionChanges.complete(),this._overlayRef=this._boundingBox=null,this._isDisposed=!0)}reapplyLastPosition(){if(this._isDisposed||!this._platform.isBrowser)return;let t=this._lastPosition;t?(this._originRect=this._getOriginRect(),this._overlayRect=this._pane.getBoundingClientRect(),this._viewportRect=this._getNarrowedViewportRect(),this._containerRect=this._getContainerRect(),this._applyPosition(t,this._getOriginPoint(this._originRect,this._containerRect,t))):this.apply()}withScrollableContainers(t){return this._scrollables=t,this}withPositions(t){return this._preferredPositions=t,t.indexOf(this._lastPosition)===-1&&(this._lastPosition=null),this._validatePositions(),this}withViewportMargin(t){return this._viewportMargin=t,this}withFlexibleDimensions(t=!0){return this._hasFlexibleDimensions=t,this}withGrowAfterOpen(t=!0){return this._growAfterOpen=t,this}withPush(t=!0){return this._canPush=t,this}withLockedPosition(t=!0){return this._positionLocked=t,this}setOrigin(t){return this._origin=t,this}withDefaultOffsetX(t){return this._offsetX=t,this}withDefaultOffsetY(t){return this._offsetY=t,this}withTransformOriginOn(t){return this._transformOriginSelector=t,this}withPopoverLocation(t){return this._popoverLocation=t,this}getPopoverInsertionPoint(){return this._popoverLocation==="global"?null:this._popoverLocation!=="inline"?this._popoverLocation:this._origin instanceof Be?this._origin.nativeElement:U_(this._origin)?this._origin:null}_getOriginPoint(t,e,o){let i;if(o.originX=="center")i=t.left+t.width/2;else{let a=this._isRtl()?t.right:t.left,s=this._isRtl()?t.left:t.right;i=o.originX=="start"?a:s}e.left<0&&(i-=e.left);let r;return o.originY=="center"?r=t.top+t.height/2:r=o.originY=="top"?t.top:t.bottom,e.top<0&&(r-=e.top),{x:i,y:r}}_getOverlayPoint(t,e,o){let i;o.overlayX=="center"?i=-e.width/2:o.overlayX==="start"?i=this._isRtl()?-e.width:0:i=this._isRtl()?0:-e.width;let r;return o.overlayY=="center"?r=-e.height/2:r=o.overlayY=="top"?0:-e.height,{x:t.x+i,y:t.y+r}}_getOverlayFit(t,e,o,i){let r=cy(e),{x:a,y:s}=t,c=this._getOffset(i,"x"),u=this._getOffset(i,"y");c&&(a+=c),u&&(s+=u);let f=0-a,_=a+r.width-o.width,h=0-s,C=s+r.height-o.height,O=this._subtractOverflows(r.width,f,_),P=this._subtractOverflows(r.height,h,C),T=O*P;return{visibleArea:T,isCompletelyWithinViewport:r.width*r.height===T,fitsInViewportVertically:P===r.height,fitsInViewportHorizontally:O==r.width}}_canFitWithFlexibleDimensions(t,e,o){if(this._hasFlexibleDimensions){let i=o.bottom-e.y,r=o.right-e.x,a=sy(this._overlayRef.getConfig().minHeight),s=sy(this._overlayRef.getConfig().minWidth),c=t.fitsInViewportVertically||a!=null&&a<=i,u=t.fitsInViewportHorizontally||s!=null&&s<=r;return c&&u}return!1}_pushOverlayOnScreen(t,e,o){if(this._previousPushAmount&&this._positionLocked)return{x:t.x+this._previousPushAmount.x,y:t.y+this._previousPushAmount.y};let i=cy(e),r=this._viewportRect,a=Math.max(t.x+i.width-r.width,0),s=Math.max(t.y+i.height-r.height,0),c=Math.max(r.top-o.top-t.y,0),u=Math.max(r.left-o.left-t.x,0),f=0,_=0;return i.width<=r.width?f=u||-a:f=t.xO&&!this._isInitialRender&&!this._growAfterOpen&&(a=t.y-O/2)}let c=e.overlayX==="start"&&!i||e.overlayX==="end"&&i,u=e.overlayX==="end"&&!i||e.overlayX==="start"&&i,f,_,h;if(u)h=o.width-t.x+this._getViewportMarginStart()+this._getViewportMarginEnd(),f=t.x-this._getViewportMarginStart();else if(c)_=t.x,f=o.right-t.x-this._getViewportMarginEnd();else{let C=Math.min(o.right-t.x+o.left,t.x),O=this._lastBoundingBoxSize.width;f=C*2,_=t.x-C,f>O&&!this._isInitialRender&&!this._growAfterOpen&&(_=t.x-O/2)}return{top:a,left:_,bottom:s,right:h,width:f,height:r}}_setBoundingBoxStyles(t,e){let o=this._calculateBoundingBoxRect(t,e);!this._isInitialRender&&!this._growAfterOpen&&(o.height=Math.min(o.height,this._lastBoundingBoxSize.height),o.width=Math.min(o.width,this._lastBoundingBoxSize.width));let i={};if(this._hasExactPosition())i.top=i.left="0",i.bottom=i.right="auto",i.maxHeight=i.maxWidth="",i.width=i.height="100%";else{let r=this._overlayRef.getConfig().maxHeight,a=this._overlayRef.getConfig().maxWidth;i.width=et(o.width),i.height=et(o.height),i.top=et(o.top)||"auto",i.bottom=et(o.bottom)||"auto",i.left=et(o.left)||"auto",i.right=et(o.right)||"auto",e.overlayX==="center"?i.alignItems="center":i.alignItems=e.overlayX==="end"?"flex-end":"flex-start",e.overlayY==="center"?i.justifyContent="center":i.justifyContent=e.overlayY==="bottom"?"flex-end":"flex-start",r&&(i.maxHeight=et(r)),a&&(i.maxWidth=et(a))}this._lastBoundingBoxSize=o,ar(this._boundingBox.style,i)}_resetBoundingBoxStyles(){ar(this._boundingBox.style,{top:"0",left:"0",right:"0",bottom:"0",height:"",width:"",alignItems:"",justifyContent:""})}_resetOverlayElementStyles(){ar(this._pane.style,{top:"",left:"",bottom:"",right:"",position:"",transform:""})}_setOverlayElementStyles(t,e){let o={},i=this._hasExactPosition(),r=this._hasFlexibleDimensions,a=this._overlayRef.getConfig();if(i){let f=this._viewportRuler.getViewportScrollPosition();ar(o,this._getExactOverlayY(e,t,f)),ar(o,this._getExactOverlayX(e,t,f))}else o.position="static";let s="",c=this._getOffset(e,"x"),u=this._getOffset(e,"y");c&&(s+=`translateX(${c}px) `),u&&(s+=`translateY(${u}px)`),o.transform=s.trim(),a.maxHeight&&(i?o.maxHeight=et(a.maxHeight):r&&(o.maxHeight="")),a.maxWidth&&(i?o.maxWidth=et(a.maxWidth):r&&(o.maxWidth="")),ar(this._pane.style,o)}_getExactOverlayY(t,e,o){let i={top:"",bottom:""},r=this._getOverlayPoint(e,this._overlayRect,t);if(this._isPushed&&(r=this._pushOverlayOnScreen(r,this._overlayRect,o)),t.overlayY==="bottom"){let a=this._document.documentElement.clientHeight;i.bottom=`${a-(r.y+this._overlayRect.height)}px`}else i.top=et(r.y);return i}_getExactOverlayX(t,e,o){let i={left:"",right:""},r=this._getOverlayPoint(e,this._overlayRect,t);this._isPushed&&(r=this._pushOverlayOnScreen(r,this._overlayRect,o));let a;if(this._isRtl()?a=t.overlayX==="end"?"left":"right":a=t.overlayX==="end"?"right":"left",a==="right"){let s=this._document.documentElement.clientWidth;i.right=`${s-(r.x+this._overlayRect.width)}px`}else i.left=et(r.x);return i}_getScrollVisibility(){let t=this._getOriginRect(),e=this._pane.getBoundingClientRect(),o=this._scrollables.map(i=>i.getElementRef().nativeElement.getBoundingClientRect());return{isOriginClipped:iy(t,o),isOriginOutsideView:z_(t,o),isOverlayClipped:iy(e,o),isOverlayOutsideView:z_(e,o)}}_subtractOverflows(t,...e){return e.reduce((o,i)=>o-Math.max(i,0),t)}_getNarrowedViewportRect(){let t=this._document.documentElement.clientWidth,e=this._document.documentElement.clientHeight,o=this._viewportRuler.getViewportScrollPosition();return{top:o.top+this._getViewportMarginTop(),left:o.left+this._getViewportMarginStart(),right:o.left+t-this._getViewportMarginEnd(),bottom:o.top+e-this._getViewportMarginBottom(),width:t-this._getViewportMarginStart()-this._getViewportMarginEnd(),height:e-this._getViewportMarginTop()-this._getViewportMarginBottom()}}_isRtl(){return this._overlayRef.getDirection()==="rtl"}_hasExactPosition(){return!this._hasFlexibleDimensions||this._isPushed}_getOffset(t,e){return e==="x"?t.offsetX==null?this._offsetX:t.offsetX:t.offsetY==null?this._offsetY:t.offsetY}_validatePositions(){}_addPanelClasses(t){this._pane&&R_(t).forEach(e=>{e!==""&&this._appliedPanelClasses.indexOf(e)===-1&&(this._appliedPanelClasses.push(e),this._pane.classList.add(e))})}_clearPanelClasses(){this._pane&&(this._appliedPanelClasses.forEach(t=>{this._pane.classList.remove(t)}),this._appliedPanelClasses=[])}_getViewportMarginStart(){return typeof this._viewportMargin=="number"?this._viewportMargin:this._viewportMargin?.start??0}_getViewportMarginEnd(){return typeof this._viewportMargin=="number"?this._viewportMargin:this._viewportMargin?.end??0}_getViewportMarginTop(){return typeof this._viewportMargin=="number"?this._viewportMargin:this._viewportMargin?.top??0}_getViewportMarginBottom(){return typeof this._viewportMargin=="number"?this._viewportMargin:this._viewportMargin?.bottom??0}_getOriginRect(){let t=this._origin;if(t instanceof Be)return t.nativeElement.getBoundingClientRect();if(t instanceof Element)return t.getBoundingClientRect();let e=t.width||0,o=t.height||0;return{top:t.y,bottom:t.y+o,left:t.x,right:t.x+e,height:o,width:e}}_getContainerRect(){let t=this._overlayRef.getConfig().usePopover&&this._popoverLocation!=="global",e=this._overlayContainer.getContainerElement();t&&(e.style.display="block");let o=e.getBoundingClientRect();return t&&(e.style.display=""),o}};function ar(n,t){for(let e in t)t.hasOwnProperty(e)&&(n[e]=t[e]);return n}function sy(n){if(typeof n!="number"&&n!=null){let[t,e]=n.split(pR);return!e||e==="px"?parseFloat(t):null}return n||null}function cy(n){return{top:Math.floor(n.top),right:Math.floor(n.right),bottom:Math.floor(n.bottom),left:Math.floor(n.left),width:Math.floor(n.width),height:Math.floor(n.height)}}function fR(n,t){return n===t?!0:n.isOriginClipped===t.isOriginClipped&&n.isOriginOutsideView===t.isOriginOutsideView&&n.isOverlayClipped===t.isOverlayClipped&&n.isOverlayOutsideView===t.isOverlayOutsideView}var ly="cdk-global-overlay-wrapper";function Cy(n){return new ju}var ju=class{_overlayRef;_cssPosition="static";_topOffset="";_bottomOffset="";_alignItems="";_xPosition="";_xOffset="";_width="";_height="";_isDisposed=!1;attach(t){let e=t.getConfig();this._overlayRef=t,this._width&&!e.width&&t.updateSize({width:this._width}),this._height&&!e.height&&t.updateSize({height:this._height}),t.hostElement.classList.add(ly),this._isDisposed=!1}top(t=""){return this._bottomOffset="",this._topOffset=t,this._alignItems="flex-start",this}left(t=""){return this._xOffset=t,this._xPosition="left",this}bottom(t=""){return this._topOffset="",this._bottomOffset=t,this._alignItems="flex-end",this}right(t=""){return this._xOffset=t,this._xPosition="right",this}start(t=""){return this._xOffset=t,this._xPosition="start",this}end(t=""){return this._xOffset=t,this._xPosition="end",this}width(t=""){return this._overlayRef?this._overlayRef.updateSize({width:t}):this._width=t,this}height(t=""){return this._overlayRef?this._overlayRef.updateSize({height:t}):this._height=t,this}centerHorizontally(t=""){return this.left(t),this._xPosition="center",this}centerVertically(t=""){return this.top(t),this._alignItems="center",this}apply(){if(!this._overlayRef||!this._overlayRef.hasAttached())return;let t=this._overlayRef.overlayElement.style,e=this._overlayRef.hostElement.style,o=this._overlayRef.getConfig(),{width:i,height:r,maxWidth:a,maxHeight:s}=o,c=(i==="100%"||i==="100vw")&&(!a||a==="100%"||a==="100vw"),u=(r==="100%"||r==="100vh")&&(!s||s==="100%"||s==="100vh"),f=this._xPosition,_=this._xOffset,h=this._overlayRef.getConfig().direction==="rtl",C="",O="",P="";c?P="flex-start":f==="center"?(P="center",h?O=_:C=_):h?f==="left"||f==="end"?(P="flex-end",C=_):(f==="right"||f==="start")&&(P="flex-start",O=_):f==="left"||f==="start"?(P="flex-start",C=_):(f==="right"||f==="end")&&(P="flex-end",O=_),t.position=this._cssPosition,t.marginLeft=c?"0":C,t.marginTop=u?"0":this._topOffset,t.marginBottom=this._bottomOffset,t.marginRight=c?"0":O,e.justifyContent=P,e.alignItems=u?"flex-start":this._alignItems}dispose(){if(this._isDisposed||!this._overlayRef)return;let t=this._overlayRef.overlayElement.style,e=this._overlayRef.hostElement,o=e.style;e.classList.remove(ly),o.justifyContent=o.alignItems=t.marginTop=t.marginBottom=t.marginLeft=t.marginRight=t.position="",this._overlayRef=null,this._isDisposed=!0}},My=(()=>{class n{_injector=v(Ne);global(){return Cy()}flexibleConnectedTo(e){return W_(this._injector,e)}static \u0275fac=function(o){return new(o||n)};static \u0275prov=oe({token:n,factory:n.\u0275fac})}return n})(),G_=new $("OVERLAY_DEFAULT_CONFIG");function q_(n,t){n.get(A_).load(_y);let e=n.get(hy),o=n.get(Me),i=n.get(Tu),r=n.get(Wt),a=n.get(F_),s=n.get(dt,null,{optional:!0})||n.get($t).createRenderer(null,null),c=new Xs(t),u=n.get(G_,null,{optional:!0})?.usePopover??!0;c.direction=c.direction||a.value,!o.body||!("showPopover"in o.body)?c.usePopover=!1:c.usePopover=t?.usePopover??u;let f=o.createElement("div"),_=o.createElement("div");f.id=i.getId("cdk-overlay-"),f.classList.add("cdk-overlay-pane"),_.appendChild(f),c.usePopover&&(_.setAttribute("popover","manual"),_.classList.add("cdk-overlay-popover"));let h=c.usePopover?c.positionStrategy?.getPopoverInsertionPoint?.():null;return U_(h)?h.after(_):h?.type==="parent"?h.element.appendChild(_):e.getContainerElement().appendChild(_),new Vu(new Au(f,r,n),_,f,c,n.get(ce),n.get(fy),o,n.get(Xo),n.get(my),t?.disableAnimations??n.get(hp,null,{optional:!0})==="NoopAnimations",n.get(De),s)}var by=(()=>{class n{scrollStrategies=v(gy);_positionBuilder=v(My);_injector=v(Ne);create(e){return q_(this._injector,e)}position(){return this._positionBuilder}static \u0275fac=function(o){return new(o||n)};static \u0275prov=oe({token:n,factory:n.\u0275fac})}return n})(),mR=[{originX:"start",originY:"bottom",overlayX:"start",overlayY:"top"},{originX:"start",originY:"top",overlayX:"start",overlayY:"bottom"},{originX:"end",originY:"top",overlayX:"end",overlayY:"bottom"},{originX:"end",originY:"bottom",overlayX:"end",overlayY:"top"}],_R=new $("cdk-connected-overlay-scroll-strategy",{providedIn:"root",factory:()=>{let n=v(Ne);return()=>H_(n)}}),Qs=(()=>{class n{elementRef=v(Be);static \u0275fac=function(o){return new(o||n)};static \u0275dir=Pe({type:n,selectors:[["","cdk-overlay-origin",""],["","overlay-origin",""],["","cdkOverlayOrigin",""]],exportAs:["cdkOverlayOrigin"]})}return n})(),Py=new $("cdk-connected-overlay-default-config"),Y_=(()=>{class n{_dir=v(F_,{optional:!0});_injector=v(Ne);_overlayRef;_templatePortal;_backdropSubscription=Oe.EMPTY;_attachSubscription=Oe.EMPTY;_detachSubscription=Oe.EMPTY;_positionSubscription=Oe.EMPTY;_offsetX;_offsetY;_position;_scrollStrategyFactory=v(_R);_ngZone=v(ce);origin;positions;positionStrategy;get offsetX(){return this._offsetX}set offsetX(e){this._offsetX=e,this._position&&this._updatePositionStrategy(this._position)}get offsetY(){return this._offsetY}set offsetY(e){this._offsetY=e,this._position&&this._updatePositionStrategy(this._position)}width;height;minWidth;minHeight;backdropClass;panelClass;viewportMargin=0;scrollStrategy;open=!1;disableClose=!1;transformOriginSelector;hasBackdrop=!1;lockPosition=!1;flexibleDimensions=!1;growAfterOpen=!1;push=!1;disposeOnNavigation=!1;usePopover;matchWidth=!1;set _config(e){typeof e!="string"&&this._assignConfig(e)}backdropClick=new ve;positionChange=new ve;attach=new ve;detach=new ve;overlayKeydown=new ve;overlayOutsideClick=new ve;constructor(){let e=v(Qn),o=v(Rn),i=v(Py,{optional:!0}),r=v(G_,{optional:!0});this.usePopover=r?.usePopover===!1?null:"global",this._templatePortal=new Ks(e,o),this.scrollStrategy=this._scrollStrategyFactory(),i&&this._assignConfig(i)}get overlayRef(){return this._overlayRef}get dir(){return this._dir?this._dir.value:"ltr"}ngOnDestroy(){this._attachSubscription.unsubscribe(),this._detachSubscription.unsubscribe(),this._backdropSubscription.unsubscribe(),this._positionSubscription.unsubscribe(),this._overlayRef?.dispose()}ngOnChanges(e){this._position&&(this._updatePositionStrategy(this._position),this._overlayRef?.updateSize({width:this._getWidth(),minWidth:this.minWidth,height:this.height,minHeight:this.minHeight}),e.origin&&this.open&&this._position.apply()),e.open&&(this.open?this.attachOverlay():this.detachOverlay())}_createOverlay(){(!this.positions||!this.positions.length)&&(this.positions=mR);let e=this._overlayRef=q_(this._injector,this._buildConfig());this._attachSubscription=e.attachments().subscribe(()=>this.attach.emit()),this._detachSubscription=e.detachments().subscribe(()=>this.detach.emit()),e.keydownEvents().subscribe(o=>{this.overlayKeydown.next(o),o.keyCode===27&&!this.disableClose&&!ny(o)&&(o.preventDefault(),this.detachOverlay())}),this._overlayRef.outsidePointerEvents().subscribe(o=>{let i=this._getOriginElement(),r=Du(o);(!i||i!==r&&!i.contains(r))&&this.overlayOutsideClick.next(o)})}_buildConfig(){let e=this._position=this.positionStrategy||this._createPositionStrategy(),o=new Xs({direction:this._dir||"ltr",positionStrategy:e,scrollStrategy:this.scrollStrategy,hasBackdrop:this.hasBackdrop,disposeOnNavigation:this.disposeOnNavigation,usePopover:!!this.usePopover});return(this.height||this.height===0)&&(o.height=this.height),(this.minWidth||this.minWidth===0)&&(o.minWidth=this.minWidth),(this.minHeight||this.minHeight===0)&&(o.minHeight=this.minHeight),this.backdropClass&&(o.backdropClass=this.backdropClass),this.panelClass&&(o.panelClass=this.panelClass),o}_updatePositionStrategy(e){let o=this.positions.map(i=>({originX:i.originX,originY:i.originY,overlayX:i.overlayX,overlayY:i.overlayY,offsetX:i.offsetX||this.offsetX,offsetY:i.offsetY||this.offsetY,panelClass:i.panelClass||void 0}));return e.setOrigin(this._getOrigin()).withPositions(o).withFlexibleDimensions(this.flexibleDimensions).withPush(this.push).withGrowAfterOpen(this.growAfterOpen).withViewportMargin(this.viewportMargin).withLockedPosition(this.lockPosition).withTransformOriginOn(this.transformOriginSelector).withPopoverLocation(this.usePopover===null?"global":this.usePopover)}_createPositionStrategy(){let e=W_(this._injector,this._getOrigin());return this._updatePositionStrategy(e),e}_getOrigin(){return this.origin instanceof Qs?this.origin.elementRef:this.origin}_getOriginElement(){return this.origin instanceof Qs?this.origin.elementRef.nativeElement:this.origin instanceof Be?this.origin.nativeElement:typeof Element<"u"&&this.origin instanceof Element?this.origin:null}_getWidth(){return this.width?this.width:this.matchWidth?this._getOriginElement()?.getBoundingClientRect?.().width:void 0}attachOverlay(){this._overlayRef||this._createOverlay();let e=this._overlayRef;e.getConfig().hasBackdrop=this.hasBackdrop,e.updateSize({width:this._getWidth()}),e.hasAttached()||e.attach(this._templatePortal),this.hasBackdrop?this._backdropSubscription=e.backdropClick().subscribe(o=>this.backdropClick.emit(o)):this._backdropSubscription.unsubscribe(),this._positionSubscription.unsubscribe(),this.positionChange.observers.length>0&&(this._positionSubscription=this._position.positionChanges.pipe(hg(()=>this.positionChange.observers.length>0)).subscribe(o=>{this._ngZone.run(()=>this.positionChange.emit(o)),this.positionChange.observers.length===0&&this._positionSubscription.unsubscribe()})),this.open=!0}detachOverlay(){this._overlayRef?.detach(),this._backdropSubscription.unsubscribe(),this._positionSubscription.unsubscribe(),this.open=!1}_assignConfig(e){this.origin=e.origin??this.origin,this.positions=e.positions??this.positions,this.positionStrategy=e.positionStrategy??this.positionStrategy,this.offsetX=e.offsetX??this.offsetX,this.offsetY=e.offsetY??this.offsetY,this.width=e.width??this.width,this.height=e.height??this.height,this.minWidth=e.minWidth??this.minWidth,this.minHeight=e.minHeight??this.minHeight,this.backdropClass=e.backdropClass??this.backdropClass,this.panelClass=e.panelClass??this.panelClass,this.viewportMargin=e.viewportMargin??this.viewportMargin,this.scrollStrategy=e.scrollStrategy??this.scrollStrategy,this.disableClose=e.disableClose??this.disableClose,this.transformOriginSelector=e.transformOriginSelector??this.transformOriginSelector,this.hasBackdrop=e.hasBackdrop??this.hasBackdrop,this.lockPosition=e.lockPosition??this.lockPosition,this.flexibleDimensions=e.flexibleDimensions??this.flexibleDimensions,this.growAfterOpen=e.growAfterOpen??this.growAfterOpen,this.push=e.push??this.push,this.disposeOnNavigation=e.disposeOnNavigation??this.disposeOnNavigation,this.usePopover=e.usePopover??this.usePopover,this.matchWidth=e.matchWidth??this.matchWidth}static 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to load session usage:",e)})}formatRunElapsed(t){return Z_(t)}formatRunTokens(t){return Oy(t)}runTuningLabel(t,e){return xy(t,e)}getTaskStatus(t){if(t.status){let e=t.status.toLowerCase();if(e==="completed"||e==="success"||e==="failed"||e==="cancelled")return e==="success"?"completed":e;if(e==="running"||e==="paused"||e==="pending")return e}return t.session_id===this.agentService.runningSessionId()&&(this.agentService.agentStatus()==="running"||this.agentService.agentStatus()==="paused")?this.agentService.agentStatus():"completed"}getDeviceSerial(t){if(this.deviceSerialCache.has(t))return this.deviceSerialCache.get(t)??null;let e=null,o=t.device_serial||t.device_id;if(o&&o!=="pending"&&o!=="null"&&o!=="undefined")e=o;else if(t.device_info)try{let i=typeof t.device_info=="string"?JSON.parse(t.device_info):t.device_info,r=i?.device_id||i?.device_serial;r&&r!=="pending"&&r!=="null"&&r!=="undefined"&&(e=r)}catch(i){}return this.deviceSerialCache.set(t,e),e}selectTask(t,e){e&&e.stopPropagation(),this.agentService.selectSession(t,!0),this.isTaskDropdownOpen.set(!1)}stopTask(t,e){e&&e.stopPropagation(),this.agentService.stopTask(t,!1)}deleteTask(t,e){e&&e.stopPropagation(),confirm("\u786E\u5B9A\u5220\u9664\u6B64\u4EFB\u52A1\uFF1F\u6B64\u64CD\u4F5C\u65E0\u6CD5\u64A4\u9500\u3002")&&this.agentService.deleteSession(t).subscribe({error:o=>{console.error(`\u5220\u9664\u4F1A\u8BDD\u5931\u8D25\uFF1A${t}:`,o)}})}selectNote(t,e){e&&e.stopPropagation(),this.agentService.selectedNoteKey.set(t)}getParsedNote(t){return ec(t)}getParsedNoteLines(t){return Js(t)}upsertBlockResetNotice(t,e){this.activeBlockResets.update(o=>{let i=new Map(o),r=[...i.get(t)||[]],a=r.findIndex(s=>s.id===e.id);return a>-1?r[a]=e:r.push(e),i.set(t,r),i})}startTyping(t,e,o=!1,i){let r=t.endsWith("-native")?t.replace("-native",""):t,a=this.rewindTargets.get(t);a&&(this.rewindTargets.delete(t),this.typedTextsSignal.update(s=>F(x({},s),{[t]:""})),this.upsertBlockResetNotice(r,{id:a.execId||`${r}-${o?"thinking":"text"}`,message:a.message,isWaiting:!1,streamType:o?"thinking":"text"})),this.rewindTargets.delete(t),this.activeBlockResets.update(s=>{let c=s.get(r);if(!c||c.length===0)return s;let u=o?"thinking":"text",f=c.map(h=>h.streamType===u?F(x({},h),{isWaiting:!1}):h),_=new Map(s);return _.set(r,f),_}),this.typingTargets.set(t,{blockId:r,isThinking:o,execId:i,fallbackText:e}),this.ensureTypingLoop()}ensureTypingLoop(){this.typingRafId===null&&(this.lastTypingTimestamp=performance.now(),this.zone.runOutsideAngular(()=>{let t=e=>{this.typingRafId=null;let o=e-this.lastTypingTimestamp;o>=n.TYPING_MIN_FRAME_MS&&(this.lastTypingTimestamp=e,this.advanceTyping(o)),(this.typingTargets.size>0||this.rewindTargets.size>0)&&(this.typingRafId=requestAnimationFrame(t))};this.typingRafId=requestAnimationFrame(t)}))}stopTypingLoop(){this.typingTargets.clear(),this.rewindTargets.clear(),this.typingRafId!==null&&(cancelAnimationFrame(this.typingRafId),this.typingRafId=null)}advanceTyping(t){let e=ie(()=>this.consolidatedBlocks()),o=ie(()=>this.typedTextsSignal()),i=Math.max(1,Math.round(n.TYPING_CHARS_PER_SECOND*t/1e3)),r=Math.max(2,Math.round(n.REWIND_CHARS_PER_SECOND*t/1e3)),a={},s=!1;for(let[u,f]of this.typingTargets){let _=e.find(O=>O.id===f.blockId),h=f.fallbackText;_&&(h=(f.isThinking?this.getNativeThinking(_):this.getRawThinking(_))||f.fallbackText);let C=o[u]||"";C.length0){let h=Math.max(0,_.length-r);a[u]=_.slice(0,h),s=!0,h===0&&(this.rewindTargets.delete(u),c.push({blockId:f.blockId,execId:f.execId,isThinking:f.isThinking,message:f.message}))}else this.rewindTargets.delete(u),c.push({blockId:f.blockId,execId:f.execId,isThinking:f.isThinking,message:f.message})}if(c.length>0){for(let u of c)this.upsertBlockResetNotice(u.blockId,{id:u.execId||`${u.blockId}-${u.isThinking?"thinking":"text"}`,message:u.message,isWaiting:!0,streamType:u.isThinking?"thinking":"text"});this.activeResetNotices.update(u=>{let f=new Map(u);for(let _ of c)f.set(_.blockId,_.message);return f})}s&&this.typedTextsSignal.update(u=>x(x({},u),a))}triggerStreamRewind(t,e){let o=ie(()=>this.consolidatedBlocks()),i=ie(()=>this.typedTextsSignal()),r=o.find(u=>u.data?.execution_id===t||u.id===`stream-${t}`||u.data?.step_id===t||Array.isArray(u.data?.stream_segments)&&u.data.stream_segments.some(f=>f.execution_id===t))||o.find(u=>u.data?.isReset);if(!r)return;let a=r.id,s=[{key:a,isThinking:!1},{key:a+"-native",isThinking:!0}],c=!1;for(let{key:u,isThinking:f}of s)this.typingTargets.delete(u),(i[u]||"").length>0&&(this.rewindTargets.set(u,{blockId:a,isThinking:f,execId:t,message:e}),c=!0);c?this.ensureTypingLoop():(this.upsertBlockResetNotice(a,{id:t||`${a}-text`,message:e,isWaiting:!0,streamType:"text"}),this.activeResetNotices.update(u=>{let f=new Map(u);return f.set(a,e),f}))}getBlockResets(t,e=!1){if(!t)return[];let o=t.id,i=e?"thinking":"text",r=(this.activeBlockResets().get(o)||[]).filter(c=>c.streamType===i),a=(Array.isArray(t.data?.stream_resets)?t.data.stream_resets:[]).filter(c=>(c.streamType||"text")===i);if(r.length===0&&a.length===0)return!e&&t.data?.isReset&&t.data?.resetMessage?[{id:t.data.execution_id||o,message:t.data.resetMessage,isWaiting:!t.data?.isCompleted,streamType:"text"}]:[];let s=new Map;for(let c of a)s.set(c.id,{id:c.id,message:c.message,isWaiting:t.data?.isCompleted?!1:c.isWaiting??!1,streamType:c.streamType||i});for(let c of r)s.set(c.id,F(x({},c),{isWaiting:t.data?.isCompleted?!1:c.isWaiting}));return Array.from(s.values())}hasWaitingReset(t,e=!1){return this.getBlockResets(t,e).some(i=>i.isWaiting)}hasBlockResets(t,e=!1){return this.getBlockResets(t,e).length>0}formatResetMessage(t,e){return t?e?t:t.replace(/[,.\s]*(?:Retrying automatically(?:\.{3}|\.\.\.)?)\s*$/i,"").trim():""}getCheckerSegmentResetMessage(t){return t?.data?.resetMessage||Do}getResetNotice(t){if(!t)return null;let e=this.getBlockResets(t,!1);if(e.length>0){let r=e[e.length-1];return this.formatResetMessage(r.message,r.isWaiting)}let o=t.id,i=this.activeResetNotices().get(o);return i?this.formatResetMessage(i,!t.data?.isCompleted):t.data?.isReset&&t.data?.resetMessage?this.formatResetMessage(t.data.resetMessage,!t.data?.isCompleted):null}isStreamRewinding(t){return this.rewindTargets.has(t)}isCheckerSegmentResetNotice(t){if(!t?.data?.isReset)return!1;let e=t.data.text;return!e||e.trim().length===0}getStreamDisplayText(t,e=""){let o=this.typedTextsSignal()[t];return o!==void 0?o:e}triggerDelayedCollapse(t){this.scheduledCollapses.has(t)||(this.scheduledCollapses.add(t),setTimeout(()=>{this.collapsedStreams.update(e=>{let o=new Set(e);return o.add(t),o})},1e3))}onDetailsToggle(t,e){let i=t.target.open;this.collapsedStreams.update(r=>{let a=new Set(r);return i?a.delete(e):a.add(e),a})}toggleCollapse(t){this.collapsedStreams.update(e=>{let o=new Set(e);return o.has(t)?o.delete(t):o.add(t),o})}getActionObject(t){return xe(t)}isAndroidAction(t){return Kt(t)}getActionIcon(t){return yu(t)}getActionTitle(t){return v_(t)}getActionTargetText(t){return y_(t)}getActionInputLabel(t){return wv(t)}getActionInputText(t){return Sv(t)}getActionCoords(t){return x_(t)}isActionFailed(t,e){return xu(t,e)}getActionErrorMessage(t,e){return kv(t,e)}isActionExpanded(t,e=!1){return this.collapsedActionCards().has(t)?!1:this.expandedActionCards().has(t)?!0:e}toggleActionExpanded(t,e,o=!1){e&&e.stopPropagation(),this.isActionExpanded(t,o)?(this.expandedActionCards.update(r=>{let a=new Set(r);return a.delete(t),a}),this.collapsedActionCards.update(r=>{let a=new Set(r);return a.add(t),a})):(this.collapsedActionCards.update(r=>{let a=new Set(r);return a.delete(t),a}),this.expandedActionCards.update(r=>{let a=new Set(r);return a.add(t),a}))}getActionBounds(t){return Ev(t)}getActionResourceId(t){return Dv(t)}getActionClass(t){return Iv(t)}getActionExtraParams(t){return Tv(t,this.actionParamsCache)}getToolExtraParams(t){return bv(t,this.toolParamsCache)}getStepPreImageUrl(t,e){return w_(t,e)}getStepPostImageUrl(t,e){return S_(t,e)}openImageModal(t,e,o){o&&o.stopPropagation(),this.selectedZoomImage.set(t),this.selectedZoomAction.set(e||null)}closeImageModal(t){t&&t.stopPropagation(),this.selectedZoomImage.set(null),this.selectedZoomAction.set(null)}onImageLoad(t,e,o){if(!(!t||!e))try{this.drawActionCoordinatesOnOverlay(t,e,o)}catch(i){console.warn("Failed to draw action overlay:",i)}}drawActionCoordinatesOnOverlay(t,e,o){Mu(t,e,o)}firstSaveNoteByKey=A(()=>{let t=new Map;for(let e of this.consolidatedBlocks())if(e.type==="step"&&e.data.generic_tools){for(let o of this.getUniqueGenericTools(e.data.generic_tools))if(o.name&&o.name.toLowerCase()==="save_note"){let i=this.getToolKey(o);i&&!t.has(i)&&t.set(i,o)}}return t});isFirstSaveNoteForKey(t){if(!t||!t.name||t.name.toLowerCase()!=="save_note")return!1;let e=this.getToolKey(t);if(!e)return!0;let o=this.firstSaveNoteByKey().get(e);return o?t.trace_id&&o.trace_id?t.trace_id===o.trace_id:t===o:!0}getToolDisplayLabel(t){return cv(t,this.isFirstSaveNoteForKey(t))}getCompressionPhaseTitle(t){return f_(t)?lv(t):null}isToolLineRunning(t,e){return this.isItemRunning(t,e)&&!dv(t?.data)}isNoteTool(t){return ov(t)}isVideoTool(t){return bu(t)}getVideoToolTarget(t){return iv(t)}getVideoAnalysisLabel(t){return or(t)?.title||"\u6B63\u5728\u5206\u6790\u5C4F\u5E55\u5F55\u50CF"}getVideoAnalysisRangeLabel(t){let e=or(t)?.requestedRange;return e?`${u_(e.start)}\u2013${u_(e.end)}`:"\u5C4F\u5E55\u5F55\u50CF"}getVideoAnalysisDetail(t){let e=or(t);return!e||e.totalCount<=1?"":e.outcome==="running"||e.outcome==="recovering"?e.completedCount>0?`${e.completedCount}/${e.totalCount} \u6BB5\u5DF2\u4FDD\u5B58`:"":e.outcome==="partial"?`${e.completedCount}/${e.totalCount} \u6BB5\u5DF2\u4FDD\u5B58`:""}isVideoAnalysisAttention(t){let e=or(t)?.outcome;return e==="partial"||e==="failed"}onVideoToolClick(t){let e=this.agentService.currentSessionId();if(e){let o=or(t)?.requestedRange?.start;this.agentService.openVideoPlayer(e,void 0,void 0,o)}}getScreenRecordingButtonTitle(){return this.agentService.isCurrentSessionRunning()?"\u4EFB\u52A1\u6B63\u5728\u8FD0\u884C\uFF08\u5F55\u5C4F\u4E2D\uFF09":this.agentService.currentSessionRecordingStatus()==="processing"?"\u6B63\u5728\u51C6\u5907\u5C4F\u5E55\u5F55\u50CF\u2026":this.agentService.currentSessionVideoUrl()?"\u64AD\u653E\u5C4F\u5E55\u5F55\u50CF":this.agentService.hasCurrentSessionStepFrames()?this.agentService.currentSessionRecordingStatus()==="failed"?"\u5F55\u5C4F\u5931\u8D25\uFF0C\u70B9\u51FB\u9010\u6B65\u56DE\u653E\u622A\u56FE":"\u9010\u6B65\u56DE\u653E\u622A\u56FE":this.agentService.currentSessionRecordingStatus()==="failed"?"\u5C4F\u5E55\u5F55\u50CF\u751F\u6210\u5931\u8D25":"\u5C4F\u5E55\u5F55\u50CF"}isDeviceActionTool(t){return g_(t)}isFailureAnalyzerActionTool(t){return g_(t)}getToolAgentName(t){return av(t)}shouldShowTool(t,e){return rv(t,e)}getUniqueGenericTools(t){return Pu(t)}getSortedStepEvents(t){return Uv(t,this.sortedEventsCache)}getThinkingTexts(t){let e=this.thinkingTextCache.get(t);if(!e){let o=t.operator_native_thinking||(t.stream_type==="thinking"?t.text:null),i=t.operator_raw_thinking||(t.stream_type==="text"?t.text:null);e={native:o&&o.trim()?o:null,raw:i&&i.trim()&&this.isHumanThinking(i)?i:null},this.thinkingTextCache.set(t,e)}return e}getNativeThinking(t){return!t||!t.data?null:this.getThinkingTexts(t.data).native}getRawThinking(t){return!t||!t.data?null:this.getThinkingTexts(t.data).raw}isCheckerBlock(t){return t?.type==="checker"}isCheckerPhase(t){let e=Array.isArray(t?.blocks)?t.blocks:[];return e.length>0&&e.every(o=>this.isCheckerBlock(o))}getCheckerPhaseLabel(t){switch(t?.data?.phase){case"final":return"\u6700\u7EC8\u68C0\u67E5";case"outcome":return"\u7ED3\u679C";default:return"\u52FE\u9009"}}getCheckerVerdicts(t){return Array.isArray(t?.data?.verdicts)?t.data.verdicts:[]}getCheckerItems(t){let e=t?.data||{};return Array.isArray(e.items)&&e.items.length>0?e.items:this.getCheckerVerdicts(t).map(o=>({kind:o.kind,text:o.item_text,when:o.when}))}getCheckMethodLabel(t,e){let o=[t?.kind==="assert"?"\u6D4B\u8BD5\u65AD\u8A00":"\u5FC5\u987B\u901A\u8FC7"];return t?.when==="at_end"&&e?.data?.phase!=="final"&&o.push("\u7ED3\u675F\u65F6"),o.join(" \xB7 ")}isCheckerMuted(t){let e=t?.data?.status;return e==="superseded"||e==="unchecked"}getVerdictItemNumber(t,e,o){let i=this.getCheckerItems(t).findIndex(r=>r.text===e?.item_text);return(i>-1?i:o)+1}getVerdictStatusText(t){switch(t){case"passed":return"\u5DF2\u901A\u8FC7";case"failed":return"\u5931\u8D25";case"inconclusive":return"\u65E0\u6CD5\u786E\u8BA4";case"superseded":return"\u5DF2\u88AB\u8F83\u65B0\u7684\u68C0\u67E5\u66FF\u4EE3";case"unchecked":return"\u672A\u68C0\u67E5";default:return t||""}}hasCheckerResult(t){return!this.isCheckerBlock(t)||this.isBlockRunning(t)||this.isCheckerMuted(t)?!1:t.data?.phase==="outcome"?this.getCheckerNotes(t).length>0:this.getCheckerVerdicts(t).length>0||this.getCheckerNotes(t).length>0}getCheckerNotes(t){let e=t?.data||{};if(e.phase==="outcome")return Array.isArray(e.last_findings)?e.last_findings:[];let o=[];if(Array.isArray(e.unmet_subgoals))for(let i of e.unmet_subgoals)o.push(`\u5C1A\u672A\u5B8C\u6210\uFF1A${i}`);return e.reverted&&o.push("\u6B64\u6B65\u9AA4\u5DF2\u9000\u56DE\u91CD\u65B0\u6267\u884C\u3002"),e.error&&o.push(String(e.error)),o}openCheckSegments=w(new Set);isCheckerSegmentRunning(t,e){return this.isBlockRunning(t)?e===this.getSortedStepEvents(t.data).length-1:!1}isCheckerSegmentCollapsed(t,e){return this.isCheckerSegmentRunning(t,e)?!1:!this.openCheckSegments().has(`${t.id}-${e}`)}toggleCheckerSegment(t,e){let o=`${t.id}-${e}`;this.openCheckSegments.update(i=>{let r=new Set(i);return r.has(o)?r.delete(o):r.add(o),r})}isCheckerTextVisible(t){if(t?.data?.isReset)return!0;let e=t?.data?.text;return typeof e=="string"&&e.trim().length>0&&this.isHumanThinking(e)}getCheckerTone(t){let e=t?.data||{};if(e.phase==="outcome")return e.task_status==="completed"?"passed":e.task_status==="blocked"?"failed":"inconclusive";if(e.isCompleted===!1)return"running";if(e.status==="superseded"||e.status==="unchecked")return"muted";if(e.status==="error")return"inconclusive";let o=this.getCheckerVerdicts(t);return o.some(i=>i.status==="failed")?"failed":o.some(i=>i.status==="inconclusive")?"inconclusive":"passed"}getCheckerStatusLabel(t){let e=t?.data||{};if(e.phase==="outcome"){let r=e.tests||{},a=e.task_status==="completed"?"\u76EE\u6807\u5DF2\u5B8C\u6210":e.task_status==="blocked"?"\u53D7\u963B":"\u90E8\u5206\u5B8C\u6210",s=[[r.passed,"passed"],[r.failed,"failed"],[r.inconclusive,"inconclusive"],[r.unchecked,"\u672A\u68C0\u67E5"]].filter(([c])=>Number(c)>0).map(([c,u])=>`${c} ${u}`);return s.length>0?`${a} \xB7 ${s.join(" \xB7 ")}`:a}if(e.isCompleted===!1)return"\u6B63\u5728\u68C0\u67E5\u2026";switch(e.status){case"superseded":return"\u5DF2\u66FF\u4EE3";case"unchecked":return"\u672A\u68C0\u67E5";case"error":return"\u6682\u65E0\u7ED3\u8BBA"}let o=this.getCheckerVerdicts(t),i=o.filter(r=>r.status==="failed").length;return i>0?`${i} failed`:o.some(r=>r.status==="inconclusive")?"\u65E0\u6CD5\u786E\u5B9A":o.length>0?"\u5DF2\u901A\u8FC7":"\u5B8C\u6210"}getVerdictIcon(t){switch(t){case"passed":return"check_circle";case"failed":return"cancel";case"inconclusive":return"help";case"superseded":return"history";case"unchecked":return"radio_button_unchecked";default:return"pending"}}hasVisibleContent(t){if(!t)return!1;if(t.type==="checker")return!0;let e=!!this.getNativeThinking(t),o=!!this.getRawThinking(t),i=this.hasBlockResets(t,!1)||this.hasBlockResets(t,!0),r=!!t.data?.generic_tools&&t.data.generic_tools.some(s=>this.shouldShowTool(s,t.data)||this.isDisplayableLLMFailure(s)||this.isLLMRetry(s)||this.isReportStatusAction(s)||this.isBackendSwitchNote(s)),a=!!t.data?.action_taken&&(this.isAndroidAction(t.data.action_taken)||this.isReportStatusAction(t.data.action_taken));return e||o||i||r||a}isReportStatusAction(t){return cn(t)}getReportStatusValue(t){return xv(t)}getReportStatusExplanation(t){return vu(t)}isHumanThinking(t){return Pv(t)}isTerminalLLMFailure(t){return!!t&&this.retryablePauseTrace()===t}isDisplayableLLMFailure(t){return t?.type==="llm_call"&&t?.status==="failed"&&(t?.name==="llm_pause"||t?.payload?.pause===!0)}isBackendSwitchNote(t){return k_(t)}getBackendSwitchMessage(t){return String(t?.payload?.message||"\u754C\u9762\u5C42\u7EA7\u6765\u6E90\u5DF2\u53D8\u66F4")}resumePausedTask(t){t.stopPropagation(),this.agentService.resumeTask()}getLLMErrorText(t){let e="\u6A21\u578B\u8BF7\u6C42\u5931\u8D25\uFF0C\u63A5\u53E3\u672A\u8FD4\u56DE\u9519\u8BEF\u8BE6\u60C5\u3002";if(!t)return e;let o=t.payload?.error||t.error;if(!o)return e;let i=this.cleanErrorMessage(o);return i==="\u672A\u77E5\u9519\u8BEF"?e:i}isLLMRetry(t){return t?.type==="llm_call"&&t?.status==="retrying"&&t?.payload?.source==="provider_sdk"&&["google","gemini"].includes(String(t?.payload?.provider||"").toLowerCase())}getLLMRetryEntries(t){let e=t?.payload?.retries;return Array.isArray(e)&&e.length>0?e:[t?.payload||t]}getLLMFailureRetryEntries(t){let e=t?.payload?.retries;return Array.isArray(e)?e.filter(o=>o?.source==="provider_sdk"&&["google","gemini"].includes(String(o?.provider||"").toLowerCase())):[]}hasLLMFailureRetryEntries(t){return this.getLLMFailureRetryEntries(t).length>0}getLLMRetryEntryDelay(t){let e=Number(t?.delay);return!Number.isFinite(e)||e<=0?null:`${e.toFixed(2).replace(/\.00$/,"")}s`}getLLMRetryEntryWaited(t){let e=Number(t?.delay);if(!Number.isFinite(e)||e<=0)return"0s";let o=Number(t?.scheduled_at??t?.timestamp);if(!Number.isFinite(o)||o<=0)return this.formatLLMDuration(e);let i=o<1e11?o*1e3:o,r=Math.min(e,Math.max(0,(this.retryClock()-i)/1e3));return this.formatLLMDuration(r)}isLLMRetryEntryWaiting(t){let e=Number(t?.delay),o=Number(t?.scheduled_at??t?.timestamp);if(!Number.isFinite(e)||e<=0||!Number.isFinite(o))return!1;let i=o<1e11?o*1e3:o;return 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ec(t)}getParsedNoteLines(t){return Js(t)}selectNote(t){this.agentService.selectedNoteKey.set(t)}trackSession(t,e){return e.session_id}trackNoteKey(t,e){return e}trackMilestone(t,e){return e.index}trackMarkdownLine(t,e){return t}static \u0275fac=function(e){return new(e||n)};static 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UI,Roboto,Helvetica,Arial,sans-serif}body{margin:0;padding:0;color:#1e293b;background-color:#f8f9fa;-webkit-font-smoothing:antialiased;-moz-osx-font-smoothing:grayscale} diff --git a/artemis/sdk/agent.py b/artemis/sdk/agent.py index a0028eb..9029526 100644 --- a/artemis/sdk/agent.py +++ b/artemis/sdk/agent.py @@ -38,8 +38,6 @@ import uuid from adbutils import AdbClient from dotenv import load_dotenv -from google import genai -from langchain_google_genai import ChatGoogleGenerativeAI from PIL import Image from pydantic import BaseModel @@ -186,6 +184,16 @@ class Agent: self._initialized = False self._task_lock = asyncio.Lock() + async def _prewarm_llm_connections(self, api_key: str | None = None): + from artemis.llm.router import ModelEndpoint, ModelFactory + + try: + ModelFactory.get_model(ModelEndpoint(api_key=api_key)) + message = "模型连接已就绪" + except Exception: + message = "模型连接将在首次调用时初始化" + publish_startup_progress("model_ready", message, session_id=self._session_id) + async def init( self, api_key: str | None = None, @@ -273,56 +281,6 @@ class Agent: return True - async def _prewarm_llm_connections(self, api_key: str | None = None): - """Pre-warms the HTTP2/gRPC connection pools for both Native GenAI and LangChain clients in the background.""" - if os.environ.get("ARTEMIS_FAKE_LLM") == "1": - logger.info("ARTEMIS_FAKE_LLM=1 — skipping real LLM connection pre-warming.") - publish_startup_progress( - "model_ready", "Model connection is ready (fake LLM)", session_id=self._session_id - ) - return - publish_startup_progress( - "model_warmup", "Warming the model connection", session_id=self._session_id - ) - logger.info("Starting background pre-warming of Gemini API connection pools...") - try: - key = api_key - if not key and settings.GOOGLE_API_KEY: - key = settings.GOOGLE_API_KEY.get_secret_value() - - if not key: - logger.warning("Skipping LLM pre-warming: No API key available.") - publish_startup_progress( - "model_ready", - "Model connection will initialize on first use", - session_id=self._session_id, - ) - return - - # 1. Pre-warm Native SDK client - client = genai.Client(api_key=key) - - # 2. Pre-warm LangChain client - chat = ChatGoogleGenerativeAI(model="gemini-3.8-flash", google_api_key=key) - - # Fire both calls concurrently in the background - await asyncio.gather( - client.aio.models.count_tokens(model="gemini-3.8-flash", contents="ping"), - chat.ainvoke("ping"), - return_exceptions=True, - ) - logger.success("Gemini API connection pools successfully pre-warmed.") - publish_startup_progress( - "model_ready", "Model connection is ready", session_id=self._session_id - ) - except Exception as e: - logger.warning(f"Failed to pre-warm LLM connections: {e}") - publish_startup_progress( - "model_ready", - "Model connection will initialize on first use", - session_id=self._session_id, - ) - async def install_apk(self, apk_path: str | Path) -> None: """Install an APK on the connected device. diff --git a/artemis/sdk/examples/video_transcription_example.py b/artemis/sdk/examples/video_transcription_example.py index 5b12673..b6e5863 100644 --- a/artemis/sdk/examples/video_transcription_example.py +++ b/artemis/sdk/examples/video_transcription_example.py @@ -20,7 +20,7 @@ and analyze video content from a mobile device screen. The agent can: 1. Start a screen recording 2. Perform actions while recording -3. Stop the recording and analyze its content using Gemini models +3. Stop the recording and analyze its content using sampled frames with Responses Use case: Recording a video playing on the screen and transcribing its content. """ @@ -28,6 +28,7 @@ Use case: Recording a video playing on the screen and transcribing its content. import asyncio from artemis.config import LLM, LLMConfig, LLMConfigUtils, LLMWithFallback +from artemis.config import settings from artemis.sdk.agent import Agent from artemis.sdk.builders.agent_config_builder import AgentConfigBuilder from artemis.sdk.types.agent import AgentConfig @@ -37,35 +38,29 @@ from artemis.sdk.types.task import AgentProfile, TaskRequest def get_video_capable_llm_config() -> LLMConfig: """Returns an LLM config with video_analyzer configured. - The video_analyzer must use a video-capable Gemini model: - - gemini-3.8-flash (recommended - fast and capable) - - gemini-3.7-flash - - gemini-3-pro-preview - - gemini-2.5-flash - - gemini-2.5-pro - - gemini-2.0-flash + Set OPENAI_MODEL to a Responses model with image input support. """ return LLMConfig( planner=LLMWithFallback( provider="openai", - model="gpt-5-nano", - fallback=LLM(provider="openai", model="gpt-5-mini"), + model=settings.OPENAI_MODEL, + fallback=LLM(provider="openai", model=settings.OPENAI_MODEL), ), utils=LLMConfigUtils( outputter=LLMWithFallback( provider="openai", - model="gpt-5-nano", - fallback=LLM(provider="openai", model="gpt-5-mini"), + model=settings.OPENAI_MODEL, + fallback=LLM(provider="openai", model=settings.OPENAI_MODEL), ), hopper=LLMWithFallback( provider="openai", - model="gpt-5-nano", - fallback=LLM(provider="openai", model="gpt-5-mini"), + model=settings.OPENAI_MODEL, + fallback=LLM(provider="openai", model=settings.OPENAI_MODEL), ), video_analyzer=LLMWithFallback( - provider="google", - model="gemini-3.8-flash", - fallback=LLM(provider="google", model="gemini-3.7-flash"), + provider="openai", + model=settings.OPENAI_MODEL, + fallback=LLM(provider="openai", model=settings.OPENAI_MODEL), ), ), ) diff --git a/artemis/services/llm.py b/artemis/services/llm.py index 784e971..1087707 100644 --- a/artemis/services/llm.py +++ b/artemis/services/llm.py @@ -45,7 +45,6 @@ from artemis.config import ( ) from artemis.context import ArtemisContext from artemis.data_engine.trace import CURRENT_TRACE_ID, DataEngineCallbackHandler -from artemis.llm.google import is_google_chat_model, is_google_provider from artemis.llm.reliability import ( CircuitBreaker, FailureCategory, @@ -241,62 +240,6 @@ def _record_llm_event(name: str, payload: dict[str, Any], *, status: str = "retr llm_logger.warning("Failed to publish LLM event %s: %s", name, publish_error) -class _ProviderRetryTelemetryHandler(logging.Handler): - """Turn provider SDK retry log records into structured Artemis telemetry.""" - - _DELAY_PATTERN = re.compile(r"\bin\s+(?P\d+(?:\.\d+)?)\s+seconds?\b", re.IGNORECASE) - _ERROR_PATTERN = re.compile(r"\bas it raised\s+(?P.+)$", re.IGNORECASE) - _RETRYABLE_MARKERS = ( - "503", - "429", - "unavailable", - "resource_exhausted", - "high demand", - "quota", - "throttled", - "overloaded", - ) - - def emit(self, record: logging.LogRecord) -> None: - try: - request = _ACTIVE_LLM_REQUEST.get() - if not request or request.get("provider") != ModelProvider.GOOGLE.value: - return - - message = record.getMessage() - lowered = message.lower() - if "retrying" not in lowered or not any( - marker in lowered for marker in self._RETRYABLE_MARKERS - ): - return - - delay_match = self._DELAY_PATTERN.search(message) - error_match = self._ERROR_PATTERN.search(message) - delay = float(delay_match.group("delay")) if delay_match else 0.0 - error = error_match.group("error").strip() if error_match else message - _record_llm_retry( - error, - delay, - provider=request["provider"], - source="provider_sdk", - ) - except Exception: - # Telemetry must never interfere with the provider's own retry. - self.handleError(record) - - -def _install_provider_retry_telemetry() -> None: - provider_logger = logging.getLogger("google_genai._api_client") - if any( - isinstance(handler, _ProviderRetryTelemetryHandler) for handler in provider_logger.handlers - ): - return - provider_logger.addHandler(_ProviderRetryTelemetryHandler(level=logging.INFO)) - - -_install_provider_retry_telemetry() - - def _handle_llm_pause_and_resume(last_error: Exception) -> Path: """Handles pausing task execution upon persistent failure until resumed.""" err_msg = str(last_error) @@ -550,40 +493,12 @@ class RobustChatModelWrapper: processed_tools = list(tools_list) if tools_list is not None else [] - # Determine if the underlying model provider is Google / Gemini - if self.endpoint is not None: - google_backed = is_google_provider(self.endpoint.provider) - else: - google_backed = is_google_chat_model(self.base_model) - - has_explicit_google_search = any( - isinstance(t, dict) and "google_search" in t for t in processed_tools - ) - should_ground = ( - self.endpoint is not None and self.endpoint.enable_grounding - ) or has_explicit_google_search - - if google_backed: - if should_ground: - # Add native Google Search Grounding tool if not already present - if not has_explicit_google_search: - processed_tools.append({"google_search": {}}) - - # Ensure include_server_side_tool_invocations is True in tool_config - # to satisfy Gemini API requirements when mixing built-in tools and function calling - tool_config = kwargs.get("tool_config") - if tool_config is None: - kwargs["tool_config"] = {"include_server_side_tool_invocations": True} - elif isinstance(tool_config, dict): - tool_config = dict(tool_config) - tool_config.setdefault("include_server_side_tool_invocations", True) - kwargs["tool_config"] = tool_config - else: - # If not Gemini/Google (e.g. OpenAI, Anthropic, Ollama, OpenRouter, XAI): - # Ignore grounding and filter out any Gemini-specific built-in dict tools to avoid provider errors - processed_tools = [ - t for t in processed_tools if not (isinstance(t, dict) and "google_search" in t) - ] + if self.endpoint is not None and self.endpoint.enable_grounding: + if not any( + isinstance(t, dict) and t.get("type") in ("web_search", "web_search_preview") + for t in processed_tools + ): + processed_tools.append({"type": "web_search"}) bound = self.base_model.bind_tools(processed_tools, *other_args, **kwargs) return RobustChatModelWrapper(bound, self.ctx, endpoint=self.endpoint) @@ -597,6 +512,9 @@ class RobustChatModelWrapper: def with_structured_output(self, *args, **kwargs): if hasattr(self.base_model, "with_structured_output"): + # Compatible Responses endpoints may support functions but not text.format=json_schema. + # Keep schema validation in LangChain/Pydantic without changing the API transport. + kwargs.setdefault("method", "function_calling") return RobustChatModelWrapper( self.base_model.with_structured_output(*args, **kwargs), self.ctx, @@ -907,100 +825,18 @@ async def invoke_llm_with_timeout_message[T]( # Backward compatible factory functions delegating to ModelFactory -def get_google_llm( - model_name: str = "gemini-3.8-flash", - temperature: float | None = None, - timeout: float | None = None, - thinking_budget: int | None = None, - thinking_level: str | None = "medium", - include_thoughts: bool | None = None, - enable_grounding: bool = False, -) -> BaseChatModel: - ep = ModelEndpoint( - provider=ModelProvider.GOOGLE, - model_name=model_name, - temperature=temperature or 0.0, - timeout_seconds=timeout or 60.0, - thinking_budget=thinking_budget, - thinking_level=thinking_level, - include_thoughts=include_thoughts, - enable_grounding=enable_grounding, - ) - return ModelFactory.create_model(ep) - - -def get_vertex_llm( - model_name: str = "gemini-3.8-flash", - temperature: float | None = None, - timeout: float | None = None, - thinking_budget: int | None = None, -) -> BaseChatModel: - ep = ModelEndpoint( - provider=ModelProvider.VERTEX_AI, - model_name=model_name, - temperature=temperature or 0.0, - timeout_seconds=timeout or 60.0, - thinking_budget=thinking_budget, - ) - return ModelFactory.create_model(ep) def get_openai_llm( - model_name: str = "o3", + model_name: str | None = None, temperature: float | None = None, timeout: float | None = None, ) -> BaseChatModel: ep = ModelEndpoint( provider=ModelProvider.OPENAI, - model_name=model_name, - temperature=temperature or 0.0, - timeout_seconds=timeout or 60.0, - ) - return ModelFactory.create_model(ep) - - -def get_openrouter_llm( - model_name: str, - temperature: float | None = None, - timeout: float | None = None, -) -> BaseChatModel: - ep = ModelEndpoint( - provider=ModelProvider.OPENROUTER, - model_name=model_name, - temperature=temperature or 0.0, - timeout_seconds=timeout or 60.0, - ) - return ModelFactory.create_model(ep) - - -def get_grok_llm( - model_name: str, - temperature: float | None = None, - timeout: float | None = None, -) -> BaseChatModel: - ep = ModelEndpoint( - provider=ModelProvider.XAI, - model_name=model_name, - temperature=temperature or 0.0, - timeout_seconds=timeout or 60.0, - ) - return ModelFactory.create_model(ep) - - -def get_anthropic_llm( - model_name: str, - temperature: float | None = None, - timeout: float | None = None, - thinking_budget: int | None = None, - reasoning_effort: str | None = None, -) -> BaseChatModel: - ep = ModelEndpoint( - provider=ModelProvider.ANTHROPIC, - model_name=model_name, - temperature=temperature or 0.0, - timeout_seconds=timeout or 60.0, - thinking_budget=thinking_budget, - reasoning_effort=reasoning_effort, + model_name=model_name or settings.OPENAI_MODEL, + temperature=temperature, + timeout_seconds=timeout if timeout is not None else settings.OPENAI_TIMEOUT_SECONDS, ) return ModelFactory.create_model(ep) @@ -1010,21 +846,15 @@ def get_cached_raw_model( model_name: str, temperature: float | None = None, timeout: float | None = None, - thinking_budget: int | None = None, - thinking_level: str | None = None, - include_thoughts: bool | None = None, reasoning_effort: str | None = None, enable_grounding: bool = False, ) -> BaseChatModel: """Retrieves or instantiates a cached raw LangChain chat model.""" ep = ModelEndpoint( provider=ModelProvider.from_string(provider), - model_name=model_name, - temperature=temperature or 0.0, - timeout_seconds=timeout or 60.0, - thinking_budget=thinking_budget, - thinking_level=thinking_level, - include_thoughts=include_thoughts, + model_name=model_name or settings.OPENAI_MODEL, + temperature=temperature, + timeout_seconds=timeout if timeout is not None else settings.OPENAI_TIMEOUT_SECONDS, reasoning_effort=reasoning_effort, enable_grounding=enable_grounding, ) @@ -1061,18 +891,20 @@ def _resolve_endpoint( val = getattr(obj, attr, None) return val if isinstance(val, expected_type) else None - provider_val = getattr(cfg, "provider", "google") - model_val = getattr(cfg, "model", "gemini-2.5-flash") + provider_val = getattr(cfg, "provider", "openai") + model_val = getattr(cfg, "model", settings.OPENAI_MODEL) return ModelEndpoint( provider=ModelProvider.from_string(provider_val), model_name=str(model_val), - temperature=_get_val(cfg, "temperature", (int, float)) or 0.0, - timeout_seconds=_get_val(cfg, "timeout", (int, float)) or 60.0, - thinking_budget=_get_val(cfg, "thinking_budget", int), - thinking_level=_get_val(cfg, "thinking_level", str), + temperature=_get_val(cfg, "temperature", (int, float)), + timeout_seconds=_get_val(cfg, "timeout", (int, float)) or settings.OPENAI_TIMEOUT_SECONDS, + max_retries=_get_val(cfg, "max_retries", int) + if _get_val(cfg, "max_retries", int) is not None + else settings.OPENAI_MAX_RETRIES, + max_tokens=_get_val(cfg, "max_tokens", int), + api_base=_get_val(cfg, "api_base", str), reasoning_effort=_get_val(cfg, "reasoning_effort", str), - include_thoughts=_get_val(cfg, "include_thoughts", bool), enable_grounding=_get_val(cfg, "enable_grounding", bool) or False, ) diff --git a/artemis/services/token_meter.py b/artemis/services/token_meter.py index 8a48e95..455574f 100644 --- a/artemis/services/token_meter.py +++ b/artemis/services/token_meter.py @@ -40,7 +40,7 @@ import threading from typing import Any from artemis.data_engine.context_vars import CURRENT_NODE_NAME -from artemis.llm.google import usage_from_message +from artemis.llm.usage import usage_from_message from artemis.utils.logger import get_logger logger = get_logger(__name__) @@ -62,7 +62,7 @@ OPERATOR_NODE_NAMES = frozenset({"operator", "flashrunner"}) def extract_usage(response: Any) -> dict[str, int] | None: """Extracts unified token usage from an LLM response message, best-effort. - Thin wrapper over :func:`artemis.llm.google.usage.usage_from_message` + Thin wrapper over :func:`artemis.llm.usage.usage_from_message` that keeps the meter's historical four-key shape. Returns None when the response carries no usable usage numbers. """ diff --git a/artemis/tools/base.py b/artemis/tools/base.py index 9e70bdb..c66f559 100644 --- a/artemis/tools/base.py +++ b/artemis/tools/base.py @@ -25,7 +25,6 @@ import concurrent.futures import inspect from typing import Annotated, Any, Literal -from google.genai import types as genai_types from langchain_core.tools import BaseTool, StructuredTool from langgraph.prebuilt import InjectedState from pydantic import BaseModel @@ -148,45 +147,6 @@ class ArtemisTool: parameters={"type": "object", "properties": properties, "required": required}, ) - def to_genai_declaration(self) -> genai_types.FunctionDeclaration: - """Exports this tool to a Google GenAI FunctionDeclaration schema.""" - flat_properties, required = self._flat_schema() - properties = {} - for prop_name, prop in flat_properties.items(): - genai_type = _GENAI_TYPES.get(prop["type"], genai_types.Type.STRING) - items_schema = None - if genai_type == genai_types.Type.ARRAY: - item_type = (prop.get("items") or {}).get("type", "string") - items_schema = genai_types.Schema( - type=_GENAI_TYPES.get(item_type, genai_types.Type.STRING) - ) - properties[prop_name] = genai_types.Schema( - type=genai_type, - description=prop.get("description", ""), - items=items_schema, - enum=[str(v) for v in prop["enum"]] if prop.get("enum") else None, - ) - - return genai_types.FunctionDeclaration( - name=self.name, - description=self.description, - parameters=genai_types.Schema( - type=genai_types.Type.OBJECT, - properties=properties, - required=required, - ), - ) - - -_GENAI_TYPES = { - "string": genai_types.Type.STRING, - "integer": genai_types.Type.INTEGER, - "number": genai_types.Type.NUMBER, - "boolean": genai_types.Type.BOOLEAN, - "array": genai_types.Type.ARRAY, - "object": genai_types.Type.OBJECT, -} - def _flatten_property(prop_data: dict[str, Any]) -> dict[str, Any]: """One Pydantic JSON-schema property as a flat single-type entry. diff --git a/artemis/tools/video_tool.py b/artemis/tools/video_tool.py index da4209f..11e67a1 100644 --- a/artemis/tools/video_tool.py +++ b/artemis/tools/video_tool.py @@ -12,9 +12,9 @@ # See the License for the specific language governing permissions and # limitations under the License. -"""Video Analyzer utility for analyzing video content using Gemini models. +"""Video Analyzer utility for analyzing video content using OpenAI Responses models. -This utility sends video files to video-capable Gemini models for analysis +This utility sends sampled video frames to image-capable Responses models for analysis and returns text descriptions based on the provided prompt. It also exposes a tool for agents to perform structured video analysis. """ @@ -111,7 +111,7 @@ DIAGNOSER_VIDEO_ANALYZER_DOCSTRING = ( class VideoAnalyzerTool(ArtemisTool): - """Universal tool for analyzing video content using Gemini models.""" + """Universal tool for analyzing video content using OpenAI Responses models.""" def __init__( self, diff --git a/artemis/utils/credentials_validator.py b/artemis/utils/credentials_validator.py index e71e8ba..4495d80 100644 --- a/artemis/utils/credentials_validator.py +++ b/artemis/utils/credentials_validator.py @@ -16,7 +16,7 @@ import httpx -from artemis.llm.google.provider import is_google_family_provider +from artemis.config.settings import settings from artemis.utils.logger import get_logger @@ -60,7 +60,7 @@ async def validate_api_key( provider: str, api_key: str, base_url: str | None = None, - timeout: float = 12.0, + timeout: float | None = None, ) -> tuple[bool, str]: """Tests if the provided API key is valid and usable with the corresponding provider. @@ -90,19 +90,10 @@ async def validate_api_key( return False, "Please enter a real API key instead of the placeholder." try: - async with httpx.AsyncClient(timeout=timeout) as client: - if is_google_family_provider(clean_provider): - # Test Google Gemini via generativelanguage API - # The key travels in a header, never in the URL: httpx logs request - # URLs at INFO level and those logs end up in files. - url = "https://generativelanguage.googleapis.com/v1beta/models?pageSize=1" - resp = await client.get(url, headers={"x-goog-api-key": clean_key}) - if resp.status_code == 200: - return True, "Google Gemini API key verified successfully." - err_msg = _extract_error_message(resp) - return False, f"Gemini API verification failed ({resp.status_code}): {err_msg}" - - elif clean_provider in ("ocr", "vision", "google_vision"): + async with httpx.AsyncClient( + timeout=timeout if timeout is not None else settings.ARTEMIS_CREDENTIAL_TIMEOUT_SECONDS + ) as client: + if clean_provider in ("ocr", "vision", "google_vision"): # Test Google Cloud Vision OCR API url = "https://vision.googleapis.com/v1/images:annotate" payload = { @@ -124,68 +115,25 @@ async def validate_api_key( return False, f"Vision OCR API verification failed ({resp.status_code}): {err_msg}" elif clean_provider == "openai": - endpoint = ( - f"{base_url.rstrip('/')}/models" - if base_url - else "https://api.openai.com/v1/models" + base = (base_url or settings.OPENAI_BASE_URL or "https://api.openai.com/v1").rstrip( + "/" ) - resp = await client.get(endpoint, headers={"Authorization": f"Bearer {clean_key}"}) - if resp.status_code == 200: - return True, "OpenAI API key verified successfully." - err_msg = _extract_error_message(resp) - return False, f"OpenAI API verification failed ({resp.status_code}): {err_msg}" - - elif clean_provider in ("anthropic", "claude"): - url = "https://api.anthropic.com/v1/models" - resp = await client.get( - url, - headers={ - "x-api-key": clean_key, - "anthropic-version": "2023-06-01", + resp = await client.post( + f"{base}/responses", + headers={"Authorization": f"Bearer {clean_key}"}, + json={ + "model": settings.OPENAI_MODEL, + "input": "Reply with OK.", + "max_output_tokens": 16, + "store": False, }, ) - if resp.status_code == 200: - return True, "Anthropic Claude API key verified successfully." - err_msg = _extract_error_message(resp) - return False, f"Anthropic API verification failed ({resp.status_code}): {err_msg}" - - elif clean_provider == "openrouter": - url = "https://openrouter.ai/api/v1/auth/key" - resp = await client.get(url, headers={"Authorization": f"Bearer {clean_key}"}) - if resp.status_code == 200: - return True, "OpenRouter API key verified successfully." - err_msg = _extract_error_message(resp) - return False, f"OpenRouter API verification failed ({resp.status_code}): {err_msg}" - - elif clean_provider in ("xai", "grok"): - url = "https://api.x.ai/v1/models" - resp = await client.get(url, headers={"Authorization": f"Bearer {clean_key}"}) - if resp.status_code == 200: - return True, "xAI API key verified successfully." - err_msg = _extract_error_message(resp) - return False, f"xAI API verification failed ({resp.status_code}): {err_msg}" - - elif clean_provider in ("ollama", "vllm", "custom"): - if base_url: - endpoint = f"{base_url.rstrip('/')}/models" - headers = ( - {"Authorization": f"Bearer {clean_key}"} if clean_key != "EMPTY" else {} - ) - resp = await client.get(endpoint, headers=headers) - if resp.status_code == 200: - return True, f"Custom endpoint ({base_url}) verified successfully." - err_msg = _extract_error_message(resp) - return ( - False, - f"Custom endpoint verification failed ({resp.status_code}): {err_msg}", - ) - return True, "Custom endpoint configured." + if resp.status_code == 200 and resp.json().get("output"): + return True, "OpenAI Responses 连接验证成功。" + return False, f"Responses 验证失败（HTTP {resp.status_code}）" else: - # Unknown provider - fallback to basic length check - if len(clean_key) >= 8: - return True, f"Credentials for {provider} configured." - return False, f"Invalid API key format for {provider}." + return False, "仅支持 OpenAI Responses 和可选 OCR 凭据。" except httpx.TimeoutException: logger.warning(f"Timeout verifying API key for {provider}") diff --git a/config/artemis.jsonc b/config/artemis.jsonc index 517d738..44e5d6c 100644 --- a/config/artemis.jsonc +++ b/config/artemis.jsonc @@ -1,299 +1,122 @@ +// 模型仅支持 OpenAI Responses；端点和密钥从 .env 读取。 { - // ============================================================================== - // ☕ ARTEMIS Autonomous Agent & Framework Configuration - // ============================================================================== - - // ------------------------------------------------------------------------------ - // 1. Global Default Model (Applied to all sub-agents unless overridden below) - // ------------------------------------------------------------------------------ "default": { - "provider": "google", - "model": "gemini-3.8-flash", - "thinking_level": "medium", + "provider": "openai", + "model": "${env:OPENAI_MODEL:-gpt-5-mini}", + "timeout": "${env:OPENAI_TIMEOUT_SECONDS:-120}", + "max_retries": "${env:OPENAI_MAX_RETRIES:-0}", "fallback": { - "provider": "google", - "model": "gemini-3.7-flash", - "thinking_level": "medium" + "provider": "openai", + "model": "${env:OPENAI_MODEL:-gpt-5-mini}" } }, - - // ------------------------------------------------------------------------------ - // 2. Ready-to-Use Presets (Switch easily in code or CLI) - // ------------------------------------------------------------------------------ - "presets": { - "gemini-flagship": { - "provider": "google", - "model": "gemini-3.8-flash", - "fallback": { "provider": "google", "model": "gemini-3.7-flash" } - }, - "gemini-flash": { - "provider": "google", - "model": "gemini-2.5-flash", - "fallback": { "provider": "google", "model": "gemini-2.0-flash" } - }, - "openai-gpt4o": { - "provider": "openai", - "model": "gpt-4o", - "fallback": { "provider": "openai", "model": "gpt-4o-mini" } - }, - "cost-saving": { - "provider": "google", - "model": "gemini-3.5-flash-lite", - "fallback": { "provider": "google", "model": "gemini-3.1-flash-lite" } - }, - "local-ollama": { - "provider": "openai", - "model": "llama3.2-vision", - "fallback": { "provider": "openai", "model": "llama3.2-vision" } - } - }, - - // ------------------------------------------------------------------------------ - // 3. Agent & Sub-Agent Node Customizations (Optional - Inherits from 'default') - // ------------------------------------------------------------------------------ + "presets": {}, "nodes": { - // 🧠 Planner: High-level goal decomposition and strategic step planning - "planner": { - "thinking_level": "high" - }, - - // 🎯 Operator: Screen perception, element interaction, and direct execution - "operator": { - "thinking_level": "medium", - "include_thoughts": true - }, - - // 🎬 Video Analyzer: Multimodal screen recording verification and temporal analysis - // NOTE: Dual-path engine automatically routes: - // - Native Gemini Files API for Gemini models with Google API keys (long video file stream); - // Gemini 3.6+ Flash sub-agents use agentic video understanding by default (see video_analyzer.processing below) - // - Universal Multi-Model Engine for Claude 3.5/3.7, GPT-4o, OpenRouter, Vertex AI (dynamic keyframe extraction + multimodal tool calling) + "planner": {}, + "operator": {}, "video_analyzer": {}, - - // 👁️ Object Detector & Explorer (Flash Mode): Visual coordinates grounding and bounding boxes - // CRITICAL REQUIREMENT: Standard LLMs (including standard Gemini Flash, GPT-4o, Claude 3.7) lack sub-pixel spatial coordinate fine-tuning. - // To achieve accurate [x, y] point and bounding box localization, this node MUST use specialized Gemini ER (Embodied Reasoning / Robotics) models: - // e.g., "gemini-robotics-er-2-preview". Non-ER models will fail spatial coordinate detection. - "object_detector": { - "model": "gemini-robotics-er-2-preview", - "fallback": { - "provider": "google", - "model": "gemini-robotics-er-2-preview" - } - }, - - // 🔍 Explorer: Deep element grounding and multi-candidate visual search - // NOTE: - // - "flash" version delegates directly to object_detector (requires Gemini ER model above). - // - "pro" / "ultra" versions run multi-turn ReAct loops (supports both Native Gemini and Universal Multi-Model LangChain engines). - "explorer": { - "thinking_level": "medium" - }, - - // 📋 Summarizer: Aggregates step history and generates structured outcome + "object_detector": {}, + "explorer": {}, "summarizer": {}, - - // 🔽 Hopper: Fast lightweight package name locator - "hopper": { - "model": "gemini-3.5-flash-lite", - "fallback": { - "provider": "google", - "model": "gemini-3.1-flash-lite" - } - }, - - // 📝 Outputter: Synthesizes execution trace into final output report + "hopper": {}, "outputter": {}, - - // 🪵 Log Analyzer: Error log diagnosis with search grounding - "log_analyzer": { - "enable_grounding": true - }, - - // 🩺 Diagnoser Expert: Failure root cause diagnosis with search grounding - "diagnoser_expert": { - "enable_grounding": true - }, - // 🏛️ Committee Council Members + "log_analyzer": {}, + "diagnoser_expert": {}, "planner_avatar": {}, "history_analyzer_expert": {}, - // 🔎 Checker: Plan-declared checkpoint verification and exit final review. - // Thoughts are streamed so the verifier's reasoning shows live in the timeline. - "checker": { - "thinking_level": "medium", - "include_thoughts": true - } - // 🎯 Planner Validation: Advisory review of milestone changes. - // Defaults to the same lightweight model as the pixel safety net - // (gemini-3.5-flash-lite, temperature 0); add "planner_validation": {...} here to override. + "checker": {} }, - - // ------------------------------------------------------------------------------ - // 4. Runtime Mode & Agent Capabilities Configuration (Dual-Engine: Flash vs. Pro) - // ------------------------------------------------------------------------------ "agent": { - // ========================================================================== - // ⚡ 4.1 FLASH Profile Options (Reactive Single-Agent Lightweight Loop) - // ========================================================================== - // Best for: Simple, fast, deterministic tasks; runs unbounded by default. - // Execution: Observe-Think-Act single LLM reactive loop without graph overhead. "flash": { - "max_turns": 0, // Maximum reactive turns before stopping (0 = unlimited; history is bounded by transcript compression, not by a turn cap) - "explorer_mode": "flash", // Explorer tier for the Flash runner: 'flash' | 'pro' | 'ultra' (see top-level "explorer") - // 🧠 Step Summarizer: Asynchronous visual context compressor - // Summarizes intermediate steps in background without blocking the runner, - // replacing images only after strictly objective, high-density summaries are ready. + "max_turns": 0, + "explorer_mode": "flash", "step_summarizer": { - "enabled": true, // Whether background step summarization is active - "model": "gemini-3.5-flash-lite", // Lightweight model for fast background inference - "prune_history_xml": true // Prune outdated heavy XML trees from historical steps + "enabled": "${env:ARTEMIS_STEP_SUMMARIZER_ENABLED:-true}", + "model": "${env:OPENAI_MODEL:-gpt-5-mini}", + "prune_history_xml": true } }, - // ========================================================================== - // 🚀 4.2 PRO Profile Options (Deep Multi-Agent Graph Closed-Loop) - // ========================================================================== - // Best for: Complex, exploratory, dynamic multi-branch tasks. - // Execution: LangGraph multi-node graph with a living task plan, a pre-execution safety net (single actions) / fast-action bursts (multi-action turns), - // execution-incident recovery handled by the Operator itself (no separate repair agent), and a read-only Checker for checkpoint verification + exit final review. "pro": { - // 🧭 Explorer: Perception sub-agent under Pro profile ('flash', 'pro', or 'ultra') "explorer": { - "mode": "flash" // Explorer tier for Pro nodes (Operator/Validator): 'flash' | 'pro' | 'ultra' + "mode": "flash" }, - // 🎯 Planner Validation: Async verification when task plan milestones change "planner_validation": { - "enabled": true // On by default: every milestone text change is reviewed (advisory: hint + reason only, never rolled back) + "enabled": true }, - // 🏛️ Committee: Multi-Agent Council debate tool for Operator "committee": { "enabled": false, "debate_rounds": 2 }, - // 🔎 Checker: Plan-declared checkpoint verification (optimistic async) + exit final review "checker": { - "enabled": true, // Master switch (compat alias): false disables both gates below - "midway_checks": false, // Plan-declared midway checkpoints (off in the factory layering) - "final_check": true, // Exit final review against the user's original goal (on by default) + "enabled": true, + "midway_checks": false, + "final_check": true, "max_iterations": 20, "final_check_max_attempts": 3, "checkpoint_max_repairs": 2, "max_concurrent_checkpoints": 3, - "checkpoint_timeout": 180.0, - "settlement_timeout": 120.0, - "assert_failure_policy": "continue", // 'continue' or 'halt' on assert failures - "device_probes": true // Checker's enumerated read-only device probes + "checkpoint_timeout": "${env:ARTEMIS_CHECKPOINT_TIMEOUT_SECONDS:-180}", + "settlement_timeout": "${env:ARTEMIS_SETTLEMENT_TIMEOUT_SECONDS:-120}", + "assert_failure_policy": "continue", + "device_probes": true }, - // 🎬 Video Analyzer & Screen Recording: Continuous screen recording via scrcpy and temporal analysis "video_analyzer": { - "enabled": true, // Whether continuous video recording and video tools are active (default: auto-detected) + "enabled": "${env:ARTEMIS_VIDEO_ENABLED:-true}", "enable_ledger": true } }, - // ========================================================================== - // 🌐 4.3 Shared Capabilities & Global Overrides - // ========================================================================== - // Shared step memory and history compression - // Transcript ledger + layered compression for the Pro operator. "memory": { - // Background summarization runtime (visual/capsule lenses) "runtime": { - "max_concurrency": 2, // 1→2 per 2026-09-01 baseline: serial queue pushed summary-ready P90 past the scrub window + "max_concurrency": 2, "retry_limit": 3, "flush_timeout_s": 30 }, "transcript": { - // ROLLBACK SWITCH: set false to restore the legacy per-turn 2-message - // prompt path byte-for-byte (L2/L3 chunk compression rides this same - // flag). See services/token_meter.py for measured session token usage - // and cache-hit ratios. "enabled": true, "context_budget_tokens": 80000, - // Below start_ratio of the operator's own measured prompt size, closed - // segments only prepare their summary; the original turns are kept in - // context and replaced once occupancy reaches this ratio. Measurements - // come from the operator; other agents' calls do not affect this gate. "start_ratio": 0.35, "soft_ratio": 0.7, "hard_ratio": 0.9, "min_active_steps": 5, - // Screenshot edge: 6 while the operator's measured context is below - // start_ratio (nothing is being replaced yet), 3 from there up. A - // screenshot reaching the edge is replaced in place by its visual - // summary (the 'Current Screenshot' label leaves with it) and never - // restored; the depth only decides how long new ones stay. "image_scrub_depth": 3, "image_scrub_depth_relaxed": 6, "pending_grace_steps": 3, - // Text edge: once a newer observation exists (depth 1) the UI element - // list, the plan recitation and the per-turn ephemeral blocks - // (reminders, hints, guidance wrappers) leave the older observation. - // User instruction bodies remain in history. The text edge stays - // shallow on purpose: only the live observation carries an indexed - // element list, so a stale [n] index can never be picked up as a - // target. "xml_scrub_depth": 1, - // Local historical-state hint (no model call); distance calibrated - // 2026-09-01 from 460 dHash-stamped on-device steps (same screen <=4, - // different screens >=7). "similarity_hint": true, "similarity_max_distance": 5 }, - // Segment (L2) chunk compression: three-band chunks, era folding "chunking": { "max_steps": 12, - // Size/pressure closes wait until at least this many turns are - // eligible, so heavy turns do not become one-step chunks (one capsule - // call each); milestone closes are exempt, the hard line waives it. "min_steps": 3, "target_source_tokens": 2000, - "model": "gemini-3.8-flash", + "model": "${env:OPENAI_MODEL:-gpt-5-mini}", "max_chunks": 8 - // "max_eras": 8 // independent era cap; omitted = follows max_chunks }, - // search_history: deterministic keyword / step-range lookup over stored history "recall": { "enabled": true, "max_results": 5, "max_text_tokens": 2000, "screen_scan_steps": 150 }, - // replay_steps: full step replays (whole trailing steps are dropped over budget) "replay": { "max_steps": 5, "max_tokens": 12000 } }, - // 🎬 Screen Recording & Video Analyzer Configuration "video_analyzer": { - "enabled": true, // Whether continuous screen recording via scrcpy is active (default: auto-detected) + "enabled": "${env:ARTEMIS_VIDEO_ENABLED:-true}", "enable_ledger": true - // "processing": "auto", // How Gemini sub-agents watch a clip: auto (agentic on Gemini 3.6+ Flash, static elsewhere) | agentic | static - // "agentic_chunk_size_seconds": 600, // Longest clip one agentic sub-agent takes; static mode keeps chunk_size_seconds (60) - // "agentic_call_timeout_seconds": 300 // Hard timeout for one agentic sub-agent response }, - // 📝 Outputter: Post-execution report synthesis and structured schema extraction - // Reviews action history, notes, and verifies goal achievement to synthesize final output. "outputter": { - "enabled": true, // Whether Outputter is mounted to synthesize final outputs - "force_synthesis": false // Force Outputter synthesis even without explicit output schema + "enabled": "${env:ARTEMIS_OUTPUTTER_ENABLED:-true}", + "force_synthesis": false }, - // 🧭 Explorer tier: the perception sub-agent behind `ask_explorer`. - // Tiers are a user setting; calling agents never see which tier is active. - // flash - one-shot visual detection on the screenshot (fastest) - // pro - 3-turn reasoning loop: UI-tree search + coordinate audit + detection - // ultra - 8-turn loop adding zoom, OCR and pixel-level image processing (slowest) - // `flash.explorer_mode` and `pro.explorer.mode` above are the per-profile knobs; - // `caching` (Gemini explicit context caching) defaults per tier: off for pro, on for ultra. "explorer": { - "default_version": "flash" // Fallback tier when no profile knob applies - // "caching": true, // Uncomment to force context caching for pro/ultra + "default_version": "flash" }, - // Advanced: per-agent tier override, e.g. {"validator": "ultra"}. Takes - // precedence over the profile knobs; leave empty to let them decide. "explorer_versions": {}, -// 🚫 Per-agent Tool Denylists "denylisted_tools": { - "explorer": [] // Perception tools to withhold from the Explorer, e.g. "ask_image_processor" + "explorer": [] } } } diff --git a/config/downloads.json b/config/downloads.json new file mode 100644 index 0000000..d1ba618 --- /dev/null +++ b/config/downloads.json @@ -0,0 +1,20 @@ +{ + "mode": "Official", + "timeout_seconds": 180, + "china": { + "python_index": "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple", + "python_download_mirror": "https://mirrors.nju.edu.cn/github-release/astral-sh/python-build-standalone", + "npm_registry": "https://registry.npmmirror.com", + "node_mirror": "https://registry.npmmirror.com/-/binary/node", + "adb_url": "https://mirrors.cloud.tencent.com/AndroidSDK/platform-tools-latest-windows.zip" + }, + "overrides": { + "python_index": "", + "python_download_mirror": "", + "npm_registry": "", + "node_mirror": "", + "adb_url": "", + "scrcpy_url": "", + "uv_installer_url": "" + } +} diff --git a/mcp_server/tools/diagnose.py b/mcp_server/tools/diagnose.py index c62b522..7b4f762 100644 --- a/mcp_server/tools/diagnose.py +++ b/mcp_server/tools/diagnose.py @@ -46,6 +46,7 @@ from artemis.core.diagnostics.schema import ProbeResult, ProbeStatus, SystemRead from artemis.runtime import DeviceExecutionLock, trace_store from artemis.runtime.helper_manager import helper_manager from artemis.utils.credentials_validator import validate_api_key +from artemis.config.settings import settings from artemis.utils.logger import get_logger logger = get_logger(__name__) @@ -59,15 +60,7 @@ DIAGNOSIS_TIMEOUT_SECONDS = 40.0 #: Per-provider budget for a live API key verification request. CREDENTIAL_CHECK_TIMEOUT_SECONDS = 12.0 -#: Providers the credentials probe lists by their *endpoint URL* rather than a -#: key (``OPENAI_BASE_URL`` / ``OLLAMA_BASE_URL`` / ``VLLM_BASE_URL``). Their -#: "raw_key" is that URL: verification must call the endpoint, not treat the -#: URL as an API key. -_ENDPOINT_PROVIDERS = frozenset({"custom", "ollama", "vllm"}) - -#: Metadata keys that carry credential material. The console UI needs them to -#: prefill its settings form; an MCP caller is an LLM context and must never -#: see them. +#: Redact secrets from legacy probe metadata before returning diagnostics. _SECRET_METADATA_KEYS = frozenset( {"raw_key", "key", "api_keys", "current_key", "current_gemini_key"} ) @@ -227,7 +220,7 @@ def _render_action_lines(action: Any, *, installed_avds: list[str]) -> list[str] def _credential_steps(env_file: str | None) -> list[str]: location = env_file or "the project's .env file" return [ - " Ask the user to add a provider key (for example GEMINI_API_KEY=...) to " + " Ask the user to add a provider key (for example OPENAI_API_KEY=...) to " f"{location}, or to the MCP server's env block in the IDE's MCP config. " "Never ask them to paste the key into the chat.", " `artemis init` is interactive and cannot run from a tool call; edit the env file instead.", @@ -374,30 +367,17 @@ async def _verify_credentials(cred_result: ProbeResult | None) -> list[dict[str, """Check every configured key against its provider; the keys never leave this function.""" if cred_result is None: return [] - metadata = cred_result.metadata - api_keys = metadata.get("api_keys") or {} targets: list[tuple[str, str, str]] = [] - for entry in metadata.get("providers") or []: - provider = str(entry.get("provider") or "").strip() - raw_key = entry.get("raw_key") or api_keys.get(provider) or "" - if not provider or not raw_key: - continue - targets.append((provider, str(entry.get("label") or provider), str(raw_key))) - if api_keys.get("ocr"): - targets.append(("ocr", "Vision OCR", str(api_keys["ocr"]))) + for provider, label in (("openai", "OpenAI Responses"), ("ocr", "Vision OCR")): + key = settings.get_api_key(provider) + if key: + targets.append((provider, label, key.get_secret_value())) if not targets: return [] outcomes = await asyncio.gather( *( - validate_api_key( - provider, - "EMPTY", - base_url=key, - timeout=CREDENTIAL_CHECK_TIMEOUT_SECONDS, - ) - if provider in _ENDPOINT_PROVIDERS - else validate_api_key(provider, key, timeout=CREDENTIAL_CHECK_TIMEOUT_SECONDS) + validate_api_key(provider, key, timeout=settings.ARTEMIS_CREDENTIAL_TIMEOUT_SECONDS) for provider, _label, key in targets ), return_exceptions=True, @@ -747,7 +727,7 @@ def _next_steps( tag = "REQUIRED" if result.is_blocker else "OPTIONAL" steps.append(f"[{tag}] {result.title}: {result.description}") - if result.id == "gemini_api_key" and result.status is ProbeStatus.FAIL: + if result.id == "openai_api_key" and result.status is ProbeStatus.FAIL: steps.extend(_credential_steps(env_file)) needs_restart = True elif result.id == "android_adb" and in_progress and emulator is not None: @@ -769,7 +749,7 @@ def _next_steps( if result.id in ("system_config", "integration_host", "python_runtime"): needs_restart = True - if result.id == "gemini_api_key": + if result.id == "openai_api_key": steps.extend(credential_lines) needs_restart = needs_restart or credential_restart @@ -986,7 +966,7 @@ async def _run_extras( helper_serial = _helper_target(adb_result, requested_device) credentials, device_probe, accessibility_helper = await asyncio.gather( - _verify_credentials(_find(results, "gemini_api_key")) if verify_credentials else _none(), + _verify_credentials(_find(results, "openai_api_key")) if verify_credentials else _none(), _run_device_probe(adb_result, requested_device) if probe_device else _none(), asyncio.to_thread(_helper_status, helper_serial) if helper_serial else _none(), ) diff --git a/playground/backend_manager/app/auth/jwt_handler.py b/playground/backend_manager/app/auth/jwt_handler.py index f87991f..a23e7de 100644 --- a/playground/backend_manager/app/auth/jwt_handler.py +++ b/playground/backend_manager/app/auth/jwt_handler.py @@ -12,7 +12,7 @@ # See the License for the specific language governing permissions and # limitations under the License. -from datetime import datetime, timedelta, timezone +from datetime import datetime, timedelta, timezone, UTC from fastapi import Depends, HTTPException, Security, status from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer from jose import JWTError, jwt @@ -23,13 +23,11 @@ security = HTTPBearer(auto_error=False) def create_access_token(user_id: str, extra_claims: dict | None = None) -> str: """Generate a signed JWT access token.""" - expire = datetime.now(timezone.utc) + timedelta( - minutes=settings.JWT_ACCESS_TOKEN_EXPIRE_MINUTES - ) + expire = datetime.now(UTC) + timedelta(minutes=settings.JWT_ACCESS_TOKEN_EXPIRE_MINUTES) to_encode = { "sub": user_id, "exp": expire, - "iat": datetime.now(timezone.utc), + "iat": datetime.now(UTC), "iss": "artemis-backend-manager", } if extra_claims: diff --git a/playground/backend_manager/app/auth/otp_service.py b/playground/backend_manager/app/auth/otp_service.py index bb1f0d6..750dfdc 100644 --- a/playground/backend_manager/app/auth/otp_service.py +++ b/playground/backend_manager/app/auth/otp_service.py @@ -12,7 +12,7 @@ # See the License for the specific language governing permissions and # limitations under the License. -from datetime import datetime, timedelta, timezone +from datetime import datetime, timedelta, timezone, UTC import logging import secrets from app.config import settings @@ -38,7 +38,7 @@ class OTPService: else: code = f"{secrets.randbelow(900000) + 100000}" - expires_at = datetime.now(timezone.utc) + timedelta(seconds=settings.OTP_EXPIRE_SECONDS) + expires_at = datetime.now(UTC) + timedelta(seconds=settings.OTP_EXPIRE_SECONDS) self._store[ident] = { "code": code, "expires_at": expires_at, @@ -65,7 +65,7 @@ class OTPService: logger.warning(f"[OTP Service] No active OTP found for {ident}") return False - if datetime.now(timezone.utc) > record["expires_at"]: + if datetime.now(UTC) > record["expires_at"]: logger.warning(f"[OTP Service] OTP for {ident} has expired") self._store.pop(ident, None) return False diff --git a/playground/backend_manager/app/services/bigquery_service.py b/playground/backend_manager/app/services/bigquery_service.py index 8588ec1..8e8f64a 100644 --- a/playground/backend_manager/app/services/bigquery_service.py +++ b/playground/backend_manager/app/services/bigquery_service.py @@ -34,7 +34,7 @@ class BigQueryMappingService: def __init__(self): self._local_cache: dict[str, SessionRecord] = {} - self._client: Optional["bigquery.Client"] = None + self._client: bigquery.Client | None = None self._table_ref: str = ( f"{settings.GCP_PROJECT_ID}.{settings.BQ_DATASET}.{settings.BQ_TABLE}" ) diff --git a/playground/backend_manager/app/services/docker_service.py b/playground/backend_manager/app/services/docker_service.py index 85d040e..1151215 100644 --- a/playground/backend_manager/app/services/docker_service.py +++ b/playground/backend_manager/app/services/docker_service.py @@ -33,7 +33,7 @@ class DockerManagerService: """Manages creation, monitoring, and deletion of ephemeral Artemis session containers via Docker Socket.""" def __init__(self): - self._client: Optional["docker.DockerClient"] = None + self._client: docker.DockerClient | None = None if DOCKER_AVAILABLE: try: self._client = docker.DockerClient(base_url=settings.DOCKER_SOCKET_PATH) diff --git a/playground/backend_manager/app/services/session_manager.py b/playground/backend_manager/app/services/session_manager.py index 17bf6d6..c95ef29 100644 --- a/playground/backend_manager/app/services/session_manager.py +++ b/playground/backend_manager/app/services/session_manager.py @@ -13,7 +13,7 @@ # limitations under the License. import asyncio -from datetime import datetime, timedelta, timezone +from datetime import datetime, timedelta, timezone, UTC import logging import uuid from app.config import settings @@ -49,7 +49,7 @@ class SessionManagerService: while True: try: await asyncio.sleep(settings.REAPER_CHECK_INTERVAL_SECONDS) - now = datetime.now(timezone.utc) + now = datetime.now(UTC) active_sessions = await bigquery_service.list_all_active_sessions() for s in active_sessions: @@ -78,7 +78,7 @@ class SessionManagerService: async def create_session(self, user_id: str, request: CreateSessionRequest) -> SessionResponse: """Provision a new Cuttlefish emulator + Artemis container and link them via ADB.""" session_id = str(uuid.uuid4()) - now = datetime.now(timezone.utc) + now = datetime.now(UTC) expires_at = now + timedelta(minutes=request.ttl_minutes) logger.info( @@ -164,7 +164,7 @@ class SessionManagerService: if not record or record.user_id != user_id or record.status == SessionStatus.TERMINATED: return None - now = datetime.now(timezone.utc) + now = datetime.now(UTC) record.last_heartbeat_at = now record.expires_at = now + timedelta(minutes=settings.SESSION_TTL_MINUTES) await bigquery_service.save_session(record) diff --git a/pyproject.toml b/pyproject.toml index e5cd095..cd49112 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -34,9 +34,6 @@ dependencies = [ "langchain-mcp-adapters>=0.2.0", "mcp>=1.26.0", # LLM Providers & GenAI SDKs - "google-genai>=2.22.0", - "langchain-google-genai>=4.0.0", - "langchain-google-vertexai>=3.0.0", "langchain-openai>=1.0.0", # Configuration, Models & Validation "pydantic>=2.7.0", @@ -73,7 +70,6 @@ dependencies = [ "uuid-utils>=0.9.0", "jupyter-client>=8.6.0", "ipykernel>=6.29.0", - "langchain-anthropic>=1.5.4", ] [project.optional-dependencies] diff --git a/pyright-core.json b/pyright-core.json index 3ae152e..94e3b74 100644 --- a/pyright-core.json +++ b/pyright-core.json @@ -8,7 +8,6 @@ "artemis/runtime/process_probe.py", "artemis/mcp/action_types.py", "artemis/data_engine/models.py", - "artemis/agents/explorer/native_runner.py", "artemis/agents/explorer/perception_tools.py", "mcp_server/utils/device_utils.py", "packages/artemis-client/src/artemis_client" diff --git a/scripts/bootstrap_python.ps1 b/scripts/bootstrap_python.ps1 new file mode 100644 index 0000000..1969e6d --- /dev/null +++ b/scripts/bootstrap_python.ps1 @@ -0,0 +1,85 @@ +# Python bootstrap shared by the Windows launcher and its isolated checks. +# Keep this file ASCII for Windows PowerShell 5.1. + +function Initialize-ArtemisPython { + param([Parameter(Mandatory=$true)][string]$ProjectRoot) + + $ProjectRoot = (Resolve-Path -LiteralPath $ProjectRoot -ErrorAction Stop).Path + if (-not (Test-Path -LiteralPath (Join-Path $ProjectRoot 'pyproject.toml'))) { + throw 'pyproject.toml is missing. Extract the complete source archive first.' + } + if (-not (Test-Path -LiteralPath (Join-Path $ProjectRoot 'uv.lock'))) { + throw 'uv.lock is missing. Extract the complete source archive first.' + } + + if (-not (Test-CommandExists 'uv')) { + if ($ArtemisDownloads -and $ArtemisDownloads.python_index) { + Write-Host ' [INSTALL] Installing uv from the selected Python mirror...' -ForegroundColor Cyan + Install-ArtemisUvFromIndex -IndexUrl $ArtemisDownloads.python_index + } else { + Write-Host ' [INSTALL] uv was not found. Installing from the configured installer...' -ForegroundColor Cyan + $installer = Join-Path ([IO.Path]::GetTempPath()) ('artemis-uv-' + [guid]::NewGuid().ToString('N') + '.ps1') + try { + $installerUrl = if ($ArtemisDownloads) { $ArtemisDownloads.uv_installer_url } else { 'https://astral.sh/uv/install.ps1' } + if (-not (Invoke-DownloadFile -Uri $installerUrl -OutFile $installer)) { + throw 'Could not download uv. Check your network/proxy and retry.' + } + & powershell.exe -NoProfile -ExecutionPolicy Bypass -File $installer | Out-Host + if ($LASTEXITCODE -ne 0) { throw "uv installation failed (exit $LASTEXITCODE)." } + } finally { + Remove-Item -LiteralPath $installer -Force -ErrorAction SilentlyContinue + } + } + Update-EnvironmentPath + } else { + Write-Host ' [SKIP] uv is already installed.' -ForegroundColor Green + } + if (-not (Test-CommandExists 'uv')) { throw 'uv is still unavailable. Install it from https://astral.sh/uv/ and retry.' } + & uv --version | Out-Host + if ($LASTEXITCODE -ne 0) { throw 'The installed uv could not run. Repair its installation and retry.' } + + $venvDir = Join-Path $ProjectRoot '.venv' + $pythonExe = Join-Path $venvDir 'Scripts\python.exe' + $previousEnvironment = $env:UV_PROJECT_ENVIRONMENT + $env:UV_PROJECT_ENVIRONMENT = $venvDir + Push-Location -LiteralPath $ProjectRoot + try { + if (-not (Test-Path -LiteralPath $venvDir)) { + Write-Host ' [INSTALL] Creating .venv with Python 3.12 (downloaded automatically if needed)...' -ForegroundColor Cyan + & uv venv --python 3.12 $venvDir | Out-Host + if ($LASTEXITCODE -ne 0) { throw 'Could not create .venv. Check the download errors above and retry.' } + } else { + Write-Host ' [SKIP] Reusing the existing project .venv.' -ForegroundColor Green + } + if (-not (Test-Path -LiteralPath $pythonExe)) { + throw 'The existing .venv is incomplete. Rename it as a backup, then rerun start.bat.' + } + & $pythonExe -c 'import sys; sys.exit(0 if sys.version_info >= (3, 12) and sys.prefix != sys.base_prefix else 1)' | Out-Host + if ($LASTEXITCODE -ne 0) { + throw 'The existing .venv is unusable or older than Python 3.12. Rename it as a backup, then rerun start.bat.' + } + + # A cheap check skips installation when the lock and installed packages agree. + # --inexact preserves any optional development tools already installed. + $lockOption = if ($ArtemisDownloads -and $ArtemisDownloads.python_index) { '--frozen' } else { '--locked' } + & uv sync --check $lockOption --no-dev --inexact --quiet 2>$null | Out-Host + if ($LASTEXITCODE -eq 0) { + Write-Host ' [SKIP] Python dependencies are already ready.' -ForegroundColor Green + } else { + Write-Host ' [INSTALL] Synchronizing dependencies from uv.lock...' -ForegroundColor Cyan + if ($ArtemisDownloads -and $ArtemisDownloads.python_index) { + Install-ArtemisLockedDependencies -PythonExe $pythonExe -IndexUrl $ArtemisDownloads.python_index + } else { + & uv sync --locked --no-dev --inexact | Out-Host + if ($LASTEXITCODE -ne 0) { throw 'Dependency installation failed. Fix the error above and rerun start.bat.' } + } + } + & $pythonExe -c 'import artemis, uvicorn, fastapi, langchain_openai' | Out-Host + if ($LASTEXITCODE -ne 0) { throw 'Python dependency verification failed. The UI will not be started.' } + Write-Host ' [OK] Python environment is ready.' -ForegroundColor Green + return $pythonExe + } finally { + Pop-Location + $env:UV_PROJECT_ENVIRONMENT = $previousEnvironment + } +} diff --git a/scripts/download_config.ps1 b/scripts/download_config.ps1 new file mode 100644 index 0000000..9a05eb5 --- /dev/null +++ b/scripts/download_config.ps1 @@ -0,0 +1,103 @@ +# Download settings are process-local; never edit global pip/npm/uv settings. +# Keep this file ASCII for Windows PowerShell 5.1. + +function Initialize-ArtemisDownloads { + param([string]$ProjectRoot, [string]$Mode) + $path = Join-Path $ProjectRoot 'config\downloads.json' + $config = Get-Content -LiteralPath $path -Raw -ErrorAction Stop | ConvertFrom-Json -ErrorAction Stop + if (-not $Mode) { $Mode = $config.mode } + if ($Mode -notin @('Official', 'China')) { throw 'Download mode must be Official or China.' } + $timeout = 0 + if (-not [int]::TryParse([string]$config.timeout_seconds, [ref]$timeout) -or $timeout -lt 10 -or $timeout -gt 3600) { + throw 'config/downloads.json: timeout_seconds must be between 10 and 3600.' + } + $values = @{ + python_index = ''; python_download_mirror = ''; npm_registry = '' + node_mirror = 'https://nodejs.org/dist' + adb_url = 'https://dl.google.com/android/repository/platform-tools-latest-windows.zip' + scrcpy_url = 'https://github.com/Genymobile/scrcpy/releases/download/v4.1/scrcpy-win64-v4.1.zip' + uv_installer_url = 'https://astral.sh/uv/install.ps1' + } + foreach ($name in @($values.Keys)) { + if ($Mode -eq 'China' -and $config.china.$name) { $values[$name] = [string]$config.china.$name } + if ($config.overrides.$name) { $values[$name] = [string]$config.overrides.$name } + if ($values[$name]) { + $uri = $null + if (-not [Uri]::TryCreate($values[$name], [UriKind]::Absolute, [ref]$uri) -or $uri.Scheme -ne 'https') { + throw "config/downloads.json: $name must be an HTTPS URL." + } + } + } + # Explicit caller environment settings take priority over the selected preset. + if ($env:UV_DEFAULT_INDEX) { $values.python_index = $env:UV_DEFAULT_INDEX } + elseif ($env:UV_INDEX_URL) { $values.python_index = $env:UV_INDEX_URL } + if ($env:UV_PYTHON_INSTALL_MIRROR) { $values.python_download_mirror = $env:UV_PYTHON_INSTALL_MIRROR } + if ($env:npm_config_registry) { $values.npm_registry = $env:npm_config_registry } + if ($values.python_download_mirror) { $env:UV_PYTHON_INSTALL_MIRROR = $values.python_download_mirror } + if ($values.npm_registry) { $env:npm_config_registry = $values.npm_registry } + $env:UV_HTTP_TIMEOUT = [string]$timeout + $env:npm_config_fetch_timeout = [string]($timeout * 1000) + $values.mode = $Mode + $values.timeout_seconds = $timeout + $script:ArtemisDownloads = [pscustomobject]$values + Write-Host " [INFO] Download mode: $Mode (config/downloads.json)." -ForegroundColor Cyan +} + +function Install-ArtemisUvFromIndex { + param([string]$IndexUrl, [string]$InstallDir = (Join-Path $env:USERPROFILE '.local\bin')) + # A uv wheel contains the standalone executable; no preinstalled Python is needed. + $work = Join-Path ([IO.Path]::GetTempPath()) ('artemis-uv-' + [guid]::NewGuid().ToString('N')) + New-Item -ItemType Directory -Path $work -ErrorAction Stop | Out-Null + try { + $index = $IndexUrl.TrimEnd('/') + '/uv/' + $page = Join-Path $work 'index.html' + if (-not (Invoke-DownloadFile -Uri $index -OutFile $page)) { throw 'Could not download the uv package index.' } + $platform = if ($env:PROCESSOR_ARCHITECTURE -eq 'ARM64' -or $env:PROCESSOR_ARCHITEW6432 -eq 'ARM64') { 'win_arm64' } else { 'win_amd64' } + $pattern = 'href=["''](?[^"'']*uv-(?\d+\.\d+\.\d+)-py3-none-' + $platform + '\.whl#sha256=(?[a-fA-F0-9]{64}))["'']' + $candidates = [regex]::Matches((Get-Content -LiteralPath $page -Raw), $pattern) + $candidate = $candidates | Sort-Object { [version]$_.Groups['version'].Value } -Descending | Select-Object -First 1 + if (-not $candidate) { throw "No stable uv wheel for $platform was found on the selected index." } + $url = [Uri]::new([Uri]$index, [System.Net.WebUtility]::HtmlDecode($candidate.Groups['link'].Value)) + if ($url.Scheme -ne 'https') { throw 'The uv download must use HTTPS.' } + $zip = Join-Path $work 'uv.zip' + if (-not (Invoke-DownloadFile -Uri $url.AbsoluteUri.Split('#')[0] -OutFile $zip)) { throw 'Could not download uv from the selected index.' } + $hasher = [Security.Cryptography.SHA256]::Create() + $stream = [IO.File]::OpenRead($zip) + try { $digest = [BitConverter]::ToString($hasher.ComputeHash($stream)).Replace('-', '') } + finally { $stream.Dispose(); $hasher.Dispose() } + if ($digest -ne $candidate.Groups['hash'].Value) { + throw 'The downloaded uv package failed SHA256 verification.' + } + $extract = Join-Path $work 'wheel' + Add-Type -AssemblyName System.IO.Compression.FileSystem + [IO.Compression.ZipFile]::ExtractToDirectory($zip, $extract) + $executable = Get-ChildItem -LiteralPath $extract -Filter uv.exe -Recurse -File | Select-Object -First 1 + if (-not $executable) { throw 'The uv package did not contain uv.exe.' } + New-Item -ItemType Directory -Path $InstallDir -Force -ErrorAction Stop | Out-Null + Copy-Item -LiteralPath $executable.FullName -Destination (Join-Path $InstallDir 'uv.exe') -Force -ErrorAction Stop + $uvx = Join-Path $executable.DirectoryName 'uvx.exe' + if (Test-Path -LiteralPath $uvx) { Copy-Item -LiteralPath $uvx -Destination $InstallDir -Force -ErrorAction Stop } + $env:PATH = "$InstallDir;$env:PATH" + } finally { + $resolved = (Resolve-Path -LiteralPath $work).Path + $tempRoot = [IO.Path]::GetFullPath([IO.Path]::GetTempPath()).TrimEnd('\') + '\' + if ($resolved.StartsWith($tempRoot, [StringComparison]::OrdinalIgnoreCase) -and (Split-Path $resolved -Leaf) -like 'artemis-uv-*') { + Remove-Item -LiteralPath $resolved -Recurse -Force -ErrorAction SilentlyContinue + } + } +} + +function Install-ArtemisLockedDependencies { + param([string]$PythonExe, [string]$IndexUrl) + # uv sync uses the original artifact URLs in uv.lock. Export exact versions and + # hashes, then let uv pip fetch those same artifacts through the chosen index. + $requirements = Join-Path ([IO.Path]::GetTempPath()) ('artemis-requirements-' + [guid]::NewGuid().ToString('N') + '.txt') + try { + & uv export --frozen --no-dev --format requirements-txt --output-file $requirements 1>$null + if ($LASTEXITCODE -ne 0) { throw 'Could not export the locked dependencies.' } + & uv pip install --python $PythonExe --index-url $IndexUrl --requirements $requirements | Out-Host + if ($LASTEXITCODE -ne 0) { throw 'Dependency installation failed. Check mirror availability or select another source in config/downloads.json.' } + } finally { + Remove-Item -LiteralPath $requirements -Force -ErrorAction SilentlyContinue + } +} diff --git a/scripts/package_source.py b/scripts/package_source.py new file mode 100644 index 0000000..359234c --- /dev/null +++ b/scripts/package_source.py @@ -0,0 +1,154 @@ +"""Create a portable source ZIP without environments, builds, or local credentials.""" + +import argparse +from datetime import datetime +import hashlib +import os +from pathlib import Path +import zipfile + + +EXCLUDED_DIRS = { + ".git", + ".venv", + "venv", + "env", + "node_modules", + "__pycache__", + "__pypackages__", + ".angular", + ".gradle", + ".pytest_cache", + ".ruff_cache", + ".mypy_cache", + ".cache", + ".tox", + ".nox", + ".hypothesis", + ".eggs", + ".idea", + ".vscode", + ".vs", + ".codex", + ".claude", + ".gemini", + ".cursor", + ".ipynb_checkpoints", + "build", + "dist", + "out", + "coverage", + "htmlcov", + "artifacts", + "traces", + "scratch", + "outputs", + "trace_output", +} +EXCLUDED_SUFFIXES = { + ".pyc", + ".pyo", + ".pyd", + ".so", + ".dll", + ".exe", + ".o", + ".obj", + ".a", + ".lib", + ".class", + ".jar", + ".apk", + ".aab", + ".wasm", + ".map", + ".tsbuildinfo", + ".egg", + ".whl", + ".zip", + ".7z", + ".tar", + ".gz", + ".log", + ".db", + ".sqlite", + ".sqlite3", + ".pem", + ".key", + ".keystore", + ".p12", + ".pfx", + ".swp", + ".swo", +} + + +def excluded(path: Path) -> bool: + parts = tuple(part.lower() for part in path.parts) + name = parts[-1] + if any(part in EXCLUDED_DIRS or part.endswith(".egg-info") for part in parts): + return True + # This tracked directory also contains generated Angular bundles. + if parts[:3] == ("artemis", "resources", "showcase_ui"): + return True + if (name == ".env" or name.startswith(".env.")) and name != ".env.example": + return True + if name.startswith((".artemis_", ".jetski_", ".coverage")): + return True + if name in {".ds_store", "thumbs.db", ".ipc_port", ".ls_address", ".npmrc", ".pypirc"}: + return True + return path.suffix.lower() in EXCLUDED_SUFFIXES or name.endswith((".db-wal", ".db-shm", "~")) + + +def source_files(root: Path): + for directory, dirs, files in os.walk(root, followlinks=False): + current = Path(directory) + dirs[:] = sorted( + name + for name in dirs + if not (current / name).is_symlink() + and not excluded((current / name).relative_to(root)) + ) + for name in sorted(files): + path = current / name + if not path.is_symlink() and not excluded(path.relative_to(root)): + yield path + + +def package_source(root: Path, output: Path) -> tuple[int, str]: + root = root.resolve() + output = output.resolve() + output.parent.mkdir(parents=True, exist_ok=True) + temporary = output.with_suffix(".zip.tmp") + files = [p for p in source_files(root) if p.resolve() not in {output, temporary}] + try: + with zipfile.ZipFile(temporary, "w", zipfile.ZIP_DEFLATED, compresslevel=6) as archive: + for path in files: + archive.write(path, Path("artemis") / path.relative_to(root)) + with zipfile.ZipFile(temporary) as archive: + bad_file = archive.testzip() + if bad_file: + raise RuntimeError(f"ZIP integrity check failed: {bad_file}") + if any(excluded(Path(name).relative_to("artemis")) for name in archive.namelist()): + raise RuntimeError("An excluded file was found in the source archive") + temporary.replace(output) + finally: + temporary.unlink(missing_ok=True) + with output.open("rb") as stream: + digest = hashlib.file_digest(stream, "sha256").hexdigest() + return len(files), digest + + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--root", type=Path, default=Path(__file__).resolve().parents[1]) + parser.add_argument("--output", type=Path) + args = parser.parse_args() + output = ( + args.output + or args.root / "artifacts" / f"artemis-source-{datetime.now():%Y%m%d-%H%M%S}.zip" + ) + count, digest = package_source(args.root, output) + print(f"Archive: {output.resolve()}") + print(f"Files: {count}; size: {output.stat().st_size / (1024 * 1024):.2f} MiB") + print(f"SHA256: {digest}") diff --git a/scripts/start.ps1 b/scripts/start.ps1 index 1dd832a..c6e2aa6 100644 --- a/scripts/start.ps1 +++ b/scripts/start.ps1 @@ -15,7 +15,9 @@ [CmdletBinding()] param( [int]$Port = 8000, - [switch]$NoOpen = $false + [switch]$NoOpen = $false, + [switch]$SetupOnly = $false, + [ValidateSet('Official', 'China')][string]$Mirror ) $ErrorActionPreference = "Continue" @@ -30,6 +32,14 @@ $ScriptDir = Split-Path -Parent $MyInvocation.MyCommand.Definition $RootDir = Split-Path -Parent $ScriptDir Set-Location $RootDir +. (Join-Path $ScriptDir 'download_config.ps1') +try { + Initialize-ArtemisDownloads -ProjectRoot $RootDir -Mode $Mirror +} catch { + Write-Host " [ERROR] Invalid download settings: $_" -ForegroundColor Red + exit 1 +} + Write-Host "======================================================" -ForegroundColor Cyan Write-Host " Artemis Autonomous Mobile Agent UI " -ForegroundColor Cyan Write-Host "======================================================" -ForegroundColor Cyan @@ -105,7 +115,7 @@ function Invoke-DownloadFile { param( [Parameter(Mandatory=$true)][string]$Uri, [Parameter(Mandatory=$true)][string]$OutFile, - [int]$TimeoutSec = 45 + [int]$TimeoutSec = $ArtemisDownloads.timeout_seconds ) if (Test-Path $OutFile) { Remove-Item -Path $OutFile -Force -ErrorAction SilentlyContinue @@ -152,7 +162,7 @@ function Install-PortablePlatformTools { Write-Host " [INFO] Installing Android platform-tools (adb) in user space..." -ForegroundColor Cyan try { $zipPath = "$env:TEMP\platform-tools-windows.zip" - if (Invoke-DownloadFile -Uri "https://dl.google.com/android/repository/platform-tools-latest-windows.zip" -OutFile $zipPath -TimeoutSec 60) { + if (Invoke-DownloadFile -Uri $ArtemisDownloads.adb_url -OutFile $zipPath) { New-Item -ItemType Directory -Path "$env:LOCALAPPDATA\Programs" -Force | Out-Null Expand-Archive -Path $zipPath -DestinationPath "$env:LOCALAPPDATA\Programs" -Force Remove-Item $zipPath -Force -ErrorAction SilentlyContinue @@ -186,9 +196,12 @@ function Install-PortableScrcpy { } Write-Host " [INFO] Installing portable scrcpy in user space..." -ForegroundColor Cyan + if ($ArtemisDownloads.mode -eq 'China' -and $ArtemisDownloads.scrcpy_url.StartsWith('https://github.com/')) { + Write-Host ' [INFO] scrcpy uses GitHub. If unreachable, set overrides.scrcpy_url in config/downloads.json.' -ForegroundColor Yellow + } try { $zipPath = "$env:TEMP\scrcpy-win64.zip" - if (Invoke-DownloadFile -Uri "https://github.com/Genymobile/scrcpy/releases/download/v4.1/scrcpy-win64-v4.1.zip" -OutFile $zipPath -TimeoutSec 60) { + if (Invoke-DownloadFile -Uri $ArtemisDownloads.scrcpy_url -OutFile $zipPath) { $extractDir = "$env:TEMP\scrcpy_extract" if (Test-Path $extractDir) { Remove-Item $extractDir -Recurse -Force -ErrorAction SilentlyContinue } New-Item -ItemType Directory -Path $extractDir -Force | Out-Null @@ -262,7 +275,8 @@ function Install-PortableNode { if ($env:PROCESSOR_ARCHITECTURE -match "ARM64") { "arm64" } else { "x64" } } else { "x64" } $zipPath = "$env:TEMP\node-$nodeVer-win-$arch.zip" - if (Invoke-DownloadFile -Uri "https://nodejs.org/dist/$nodeVer/node-$nodeVer-win-$arch.zip" -OutFile $zipPath -TimeoutSec 60) { + $nodeBase = $ArtemisDownloads.node_mirror.TrimEnd('/') + if (Invoke-DownloadFile -Uri "$nodeBase/$nodeVer/node-$nodeVer-win-$arch.zip" -OutFile $zipPath) { $extractDir = "$env:TEMP\node_extract" if (Test-Path $extractDir) { Remove-Item $extractDir -Recurse -Force -ErrorAction SilentlyContinue } New-Item -ItemType Directory -Path $extractDir -Force | Out-Null @@ -291,33 +305,39 @@ function Install-PortableNode { # 1. Refresh PATH with standard toolchain paths Update-EnvironmentPath -# 2. Check or install uv -if (-not (Test-CommandExists "uv")) { - Write-Host " [INFO] uv not found. Installing Astral uv..." -ForegroundColor Yellow - try { - Invoke-Expression (Invoke-RestMethod -Uri "https://astral.sh/uv/install.ps1") - } catch { - powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex" - } - Update-EnvironmentPath +# 2. Prepare the project Python environment before optional device/UI setup. +. (Join-Path $ScriptDir 'bootstrap_python.ps1') +try { + $ArtemisPython = Initialize-ArtemisPython -ProjectRoot $RootDir +} catch { + Write-Host " [ERROR] $_" -ForegroundColor Red + exit 1 } -if (-not (Test-CommandExists "uv")) { - Write-Host " [ERROR] Astral 'uv' package manager could not be installed or found in PATH." -ForegroundColor Red - Write-Host " Please install uv manually from https://astral.sh/ or run:" -ForegroundColor Yellow - Write-Host " powershell -c ""irm https://astral.sh/uv/install.ps1 | iex""" -ForegroundColor Cyan - exit 1 +if (-not (Test-Path -LiteralPath (Join-Path $RootDir '.env'))) { + if (Test-Path -LiteralPath (Join-Path $RootDir '.env.example')) { + Copy-Item -LiteralPath (Join-Path $RootDir '.env.example') -Destination (Join-Path $RootDir '.env') -ErrorAction Stop + Write-Host ' [OK] Created .env from .env.example. Configure your model in the web UI.' -ForegroundColor Green + } +} +if ($SetupOnly) { + Write-Host ' [OK] Setup complete. Run start.bat to launch Artemis.' -ForegroundColor Green + exit 0 } # 3. Check and try installing missing system toolchains (ADB, FFmpeg, scrcpy) $missingCore = @() if (-not (Test-CommandExists "adb")) { $missingCore += "adb" } -if (-not (Test-CommandExists "ffmpeg")) { $missingCore += "ffmpeg" } +# imageio-ffmpeg ships a working executable in its wheel, including mirror installs. +if (-not (Test-CommandExists "ffmpeg")) { + & $ArtemisPython -c 'import imageio_ffmpeg; imageio_ffmpeg.get_ffmpeg_exe()' 2>$null | Out-Null + if ($LASTEXITCODE -ne 0) { $missingCore += "ffmpeg" } +} if (-not (Test-CommandExists "scrcpy")) { $missingCore += "scrcpy" } if ($missingCore.Count -gt 0) { $useWinGet = $false - if (Test-CommandExists "winget") { + if ($ArtemisDownloads.mode -ne 'China' -and (Test-CommandExists "winget")) { if ([Console]::IsInputRedirected -eq $false) { Write-Host " [INFO] Missing components detected: $($missingCore -join ', ')." -ForegroundColor Cyan $ans = Read-Host " Install system packages via WinGet? [Y/n]" @@ -348,27 +368,15 @@ if ($missingCore.Count -gt 0) { Install-PortablePlatformTools } if (-not (Test-CommandExists "scrcpy")) { - Install-PortableScrcpy + if (-not (Install-PortableScrcpy)) { + Write-Host ' [WARN] scrcpy download failed. Set overrides.scrcpy_url in config/downloads.json to a reachable release ZIP, then retry.' -ForegroundColor Yellow + } } } # Ensure local ADB daemon is warm & listening so probes do not hit 'Connection refused' Start-LocalAdbServer -# 4. Check or initialize .env -if (-not (Test-Path ".env")) { - if (Test-Path ".env.example") { - Copy-Item ".env.example" ".env" - Write-Host " [OK] Initialized .env configuration file." -ForegroundColor Green - } else { - New-Item -ItemType File -Path ".env" | Out-Null - } -} - -# 5. Synchronize dependencies -Write-Host " [INFO] Synchronizing Python runtime and project dependencies..." -ForegroundColor Cyan -uv sync --quiet - # 6. Check and build Showcase UI if not already compiled $ShowcaseIndex = "$RootDir\apps\showcase_ui\dist\frontend\browser\index.html" $ShowcaseIndexAlt1 = "$RootDir\apps\showcase_ui\dist\browser\index.html" @@ -383,7 +391,7 @@ if ((-not (Test-Path $ShowcaseIndex)) -and (-not (Test-Path $ShowcaseIndexAlt1)) } # 1. Try nvm if available on Windows - if (Test-CommandExists "nvm") { + if ($ArtemisDownloads.mode -ne 'China' -and (Test-CommandExists "nvm")) { Write-Host " [INFO] Installing Node.js 22 LTS via nvm..." -ForegroundColor Cyan & nvm install 22.23.2 | Out-Null & nvm use 22.23.2 | Out-Null @@ -393,7 +401,7 @@ if ((-not (Test-Path $ShowcaseIndex)) -and (-not (Test-Path $ShowcaseIndexAlt1)) # 2. Try WinGet if (-not (Test-NodeCompatible)) { $useWinGetNode = $false - if (Test-CommandExists "winget") { + if ($ArtemisDownloads.mode -ne 'China' -and (Test-CommandExists "winget")) { if ([Console]::IsInputRedirected -eq $false) { Write-Host " [INFO] Node.js >= v22.22.0 required for Showcase UI." -ForegroundColor Cyan $ans = Read-Host " Install/Upgrade Node.js via WinGet (may require Administrator)? [Y/n]" @@ -426,31 +434,29 @@ if ((-not (Test-Path $ShowcaseIndex)) -and (-not (Test-Path $ShowcaseIndexAlt1)) try { $npmExec = if (Test-CommandExists "npm.cmd") { "npm.cmd" } else { "npm" } Write-Host " [INFO] Installing frontend npm dependencies..." -ForegroundColor Cyan - & $npmExec install --no-audit --no-fund --loglevel=error + & $npmExec ci --no-audit --no-fund --loglevel=error if ($LASTEXITCODE -ne 0) { - Write-Host " [WARN] npm install returned exit code $LASTEXITCODE. Trying silent install..." -ForegroundColor DarkYellow - & $npmExec install --silent - } - $cliNodeVersion = "$RootDir\apps\showcase_ui\node_modules\@angular\cli\src\utilities\node-version.js" - if (Test-Path $cliNodeVersion) { - (Get-Content $cliNodeVersion) -replace '22\.22\.3', '22.22.0' | Set-Content $cliNodeVersion + throw "npm ci failed (exit $LASTEXITCODE). Check the network and retry." } Write-Host " [INFO] Building Angular frontend application..." -ForegroundColor Cyan & $npmExec run build + if ($LASTEXITCODE -ne 0) { throw "Frontend build failed (exit $LASTEXITCODE)." } if (Test-Path $ShowcaseIndex) { Write-Host " [OK] Showcase UI compiled successfully." -ForegroundColor Green } elseif (Test-Path $ShowcaseIndexAlt1) { Write-Host " [OK] Showcase UI compiled successfully." -ForegroundColor Green } else { - Write-Host " [WARN] Showcase UI build finished but index.html was not found in expected dist directory." -ForegroundColor DarkYellow + throw 'Frontend build did not produce index.html.' } } catch { - Write-Host " [WARN] Failed to build Showcase UI: $_" -ForegroundColor DarkYellow + Write-Host " [ERROR] Failed to build Showcase UI: $_" -ForegroundColor Red + exit 1 } finally { Pop-Location } } else { - Write-Host " [WARN] Node.js >= v22.22.0 not found. Showcase UI will show fallback notice on launch." -ForegroundColor DarkYellow + Write-Host " [ERROR] A compatible Node.js/npm could not be installed. Install Node.js LTS and retry." -ForegroundColor Red + exit 1 } } @@ -470,7 +476,7 @@ if ([Console]::IsInputRedirected -eq $false) { if ($installMcp -match "^[Yy]") { Write-Host " Installing MCP server configuration & testing rules..." -ForegroundColor Cyan - uv run python -m artemis mcp --install all + & $ArtemisPython -m artemis mcp --install all if ($LASTEXITCODE -eq 0) { Write-Host " [OK] MCP configuration and rules installed successfully." -ForegroundColor Green Write-Host " [TIP] You can update or re-install anytime with: uv run artemis mcp --install all" -ForegroundColor Cyan @@ -490,9 +496,9 @@ Start-LocalAdbServer # long-running server never locks .venv\Scripts\artemis.exe against `uv sync` reinstalls. Write-Host " [INFO] Launching Artemis Showcase UI & Admin Console..." -ForegroundColor Green if ($NoOpen) { - uv run python -m artemis ui --port $Port --no-open + & $ArtemisPython -m artemis ui --port $Port --no-open } else { - uv run python -m artemis ui --port $Port --open + & $ArtemisPython -m artemis ui --port $Port --open } if ($LASTEXITCODE -ne 0) { diff --git a/start-cn.bat b/start-cn.bat new file mode 100644 index 0000000..0313c72 --- /dev/null +++ b/start-cn.bat @@ -0,0 +1,6 @@ +@echo off +rem Use China mirrors for first setup and subsequent launches. +rem All start.bat arguments, including -SetupOnly, are supported. +setlocal DisableDelayedExpansion +call "%~dp0start.bat" -Mirror China %* +exit /b %ERRORLEVEL% diff --git a/start.bat b/start.bat index d527b27..e1105a6 100644 --- a/start.bat +++ b/start.bat @@ -14,22 +14,27 @@ rem See the License for the specific language governing permissions and rem limitations under the License. chcp 65001 >nul 2>&1 -setlocal EnableDelayedExpansion +setlocal DisableDelayedExpansion title Artemis Mobile Agent UI -cd /d "%~dp0" +pushd "%~dp0" || exit /b 1 echo ====================================================== echo Artemis Autonomous Mobile Agent UI echo ====================================================== echo. -rem Run the PowerShell bootstrap with execution policy bypass +rem First run installs uv/Python/.venv as needed; later runs reuse them. +rem Use start.bat -SetupOnly to prepare Python without launching the UI. +rem Use start-cn.bat or start.bat -Mirror China for China download mirrors. powershell -NoProfile -ExecutionPolicy Bypass -File "%~dp0scripts\start.ps1" %* +set "ARTEMIS_EXIT_CODE=%ERRORLEVEL%" -if %ERRORLEVEL% NEQ 0 ( +if not "%ARTEMIS_EXIT_CODE%"=="0" ( echo. echo An error occurred while starting Artemis. - pause + if not defined ARTEMIS_NO_PAUSE pause ) +popd +endlocal & exit /b %ARTEMIS_EXIT_CODE% diff --git a/tests/tools/diagnoser/test_diagnoser_tools.py b/tests/tools/diagnoser/test_diagnoser_tools.py index fbc9574..59bde00 100644 --- a/tests/tools/diagnoser/test_diagnoser_tools.py +++ b/tests/tools/diagnoser/test_diagnoser_tools.py @@ -53,10 +53,10 @@ def test_submit_answer_tool_subclass(): assert submit_answer.args_schema == SubmitAnswerArgs # GenAI FunctionDeclaration export - declaration = submit_answer.to_genai_declaration() + declaration = submit_answer.to_tool_declaration() assert declaration.name == "submit_answer" - assert "analysis" in declaration.parameters.properties - assert "actionable_steps" in declaration.parameters.properties + assert "analysis" in declaration.parameters["properties"] + assert "actionable_steps" in declaration.parameters["properties"] def test_ask_diagnoser_tool_subclass(): @@ -81,9 +81,9 @@ def test_ask_diagnoser_tool_subclass(): assert ask_diagnoser.args_schema == AskDiagnoserArgs # GenAI FunctionDeclaration export - declaration = ask_diagnoser.to_genai_declaration() + declaration = ask_diagnoser.to_tool_declaration() assert declaration.name == "ask_diagnoser" - assert "query" in declaration.parameters.properties + assert "query" in declaration.parameters["properties"] def test_analyze_logs_tool_subclass(): @@ -108,6 +108,6 @@ def test_analyze_logs_tool_subclass(): assert analyze_logs.args_schema == AnalyzeLogsArgs # GenAI FunctionDeclaration export - declaration = analyze_logs.to_genai_declaration() + declaration = analyze_logs.to_tool_declaration() assert declaration.name == "analyze_logs" - assert "specific_query" in declaration.parameters.properties + assert "specific_query" in declaration.parameters["properties"] diff --git a/tests/tools/video_analyzer/test_video_analyzer_tools.py b/tests/tools/video_analyzer/test_video_analyzer_tools.py index 54680af..4e153f6 100644 --- a/tests/tools/video_analyzer/test_video_analyzer_tools.py +++ b/tests/tools/video_analyzer/test_video_analyzer_tools.py @@ -37,43 +37,7 @@ async def test_video_analyzer_tools(artemis_context, mock_state, inputs_dir, tmp agent.blackboard_entries = [] agent.sub_system_prompt = "You are a sub agent" agent.audio_system_prompt = "You are an audio sub agent" - agent.model_name = "gemini-3.7-flash" - - # We must provide a valid FunctionDeclaration for the tool otherwise Pydantic will complain - from google.genai import types - - agent.submit_answer_tool = types.FunctionDeclaration( - name="submit_answer", - description=("Submit the final findings for the requested segment analysis."), - parameters=types.Schema( - type=types.Type.OBJECT, - properties={ - "summary": types.Schema(type=types.Type.STRING, description="summary"), - "analysis": types.Schema(type=types.Type.STRING, description="analysis"), - "timeline_events": types.Schema( - type=types.Type.ARRAY, - items=types.Schema( - type=types.Type.OBJECT, - properties={ - "start_time": types.Schema(type=types.Type.NUMBER), - "end_time": types.Schema(type=types.Type.NUMBER), - "transcription": types.Schema(type=types.Type.STRING), - "confidence_score": types.Schema(type=types.Type.NUMBER), - "verification_timestamp_secs": types.Schema(type=types.Type.NUMBER), - }, - ), - ), - }, - ), - ) - - import google.genai as genai - from artemis.config import settings - - agent.client = genai.Client( - api_key=settings.GOOGLE_API_KEY.get_secret_value() if settings.GOOGLE_API_KEY else None - ) - artemis_context._genai_client = agent.client + agent.model_name = "mimo-v2.6-flash" import shutil import uuid diff --git a/tests/unit/admin_console/test_model_service.py b/tests/unit/admin_console/test_model_service.py index a063469..91ea625 100644 --- a/tests/unit/admin_console/test_model_service.py +++ b/tests/unit/admin_console/test_model_service.py @@ -25,7 +25,7 @@ def test_get_active_model_info_pro_architecture(): info = ModelService.get_active_model_info("pro") assert info["name"] == "Pro" assert info["architecture"] == "ARTEMIS Pro" - assert info["provider"] == "google" + assert info["provider"] == "openai" assert "id" in info @@ -34,7 +34,7 @@ def test_get_active_model_info_flash_architecture(): info = ModelService.get_active_model_info("flash") assert info["name"] == "Flash" assert info["architecture"] == "ARTEMIS Flash" - assert info["provider"] == "google" + assert info["provider"] == "openai" def test_resolve_session_profile_from_device_info(): diff --git a/tests/unit/admin_console/test_model_settings.py b/tests/unit/admin_console/test_model_settings.py new file mode 100644 index 0000000..7ba3da1 --- /dev/null +++ b/tests/unit/admin_console/test_model_settings.py @@ -0,0 +1,108 @@ +import os +from pathlib import Path + +from dotenv import dotenv_values +import pytest +from pydantic import SecretStr, ValidationError + +from apps.admin_console.services import model_settings_service as service +from artemis.config.settings import Settings, settings +from artemis.config.agent import load_agent_config +from artemis.config.llm import parse_llm_config + + +@pytest.fixture +def isolated_settings(monkeypatch, tmp_path): + env = tmp_path / ".env" + env.write_text("# user settings\nADB_PORT=5037\nUNRELATED=keep\n", encoding="utf-8") + monkeypatch.setattr(service, "get_env_file", lambda: env) + keys = [ + "OPENAI_API_KEY", + "OPENAI_MODEL", + "OPENAI_BASE_URL", + "OPENAI_TIMEOUT_SECONDS", + "OPENAI_MAX_RETRIES", + "ARTEMIS_VIDEO_ENABLED", + "ARTEMIS_OUTPUTTER_ENABLED", + "ARTEMIS_STEP_SUMMARIZER_ENABLED", + ] + for key in keys: + monkeypatch.setattr(settings, key, getattr(settings, key)) + monkeypatch.delenv(key, raising=False) + monkeypatch.setattr(settings, "OPENAI_API_KEY", SecretStr("existing-test-secret")) + return env + + +def test_save_reload_and_blank_key_preserves_secret(isolated_settings): + update = service.ModelSettingsUpdate( + base_url="https://gateway.example/v1/", + model="my-model", + api_key="new-test-secret", + timeout_seconds=75, + max_retries=2, + ) + result = service.save_model_settings(update) + assert result["api_key_configured"] + assert "new-test-secret" not in repr(result) + saved = dotenv_values(isolated_settings) + assert saved["OPENAI_API_KEY"] == "new-test-secret" + assert saved["OPENAI_MODEL"] == "my-model" + assert saved["UNRELATED"] == "keep" + assert "# user settings" in isolated_settings.read_text(encoding="utf-8") + reloaded = Settings(_env_file=isolated_settings) + assert reloaded.OPENAI_MODEL == "my-model" + assert parse_llm_config().operator.model == "my-model" + assert parse_llm_config().operator.timeout == 75 + service.save_model_settings(update.model_copy(update={"api_key": SecretStr("")})) + assert dotenv_values(isolated_settings)["OPENAI_API_KEY"] == "new-test-secret" + + +@pytest.mark.parametrize( + "url", + [ + "ftp://example.com", + "https://user:pass@example.com", + "https://example.com/v1/responses", + "https://example.com/v1?key=secret", + ], +) +def test_rejects_invalid_base_url(url): + with pytest.raises(ValidationError): + service.ModelSettingsUpdate(base_url=url, model="test") + + +def test_capabilities_persist_and_apply_to_new_tasks(isolated_settings): + result = service.save_capability_settings( + service.CapabilitySettings( + video_enabled=False, outputter_enabled=False, step_summarizer_enabled=False + ) + ) + assert result.video_enabled is False + saved = dotenv_values(isolated_settings) + assert saved["ARTEMIS_VIDEO_ENABLED"] == "false" + config = load_agent_config() + assert config.video_analyzer.enabled is False + assert config.pro.video_analyzer.enabled is False + assert config.outputter.enabled is False + assert config.flash.step_summarizer.enabled is False + service.save_capability_settings(service.CapabilitySettings()) + assert load_agent_config().video_analyzer.enabled is True + + +def test_failed_write_keeps_running_settings(monkeypatch, isolated_settings): + previous = settings.OPENAI_MODEL + monkeypatch.setattr( + service.os, "replace", lambda *args: (_ for _ in ()).throw(OSError("read only")) + ) + with pytest.raises(OSError): + service.save_model_settings(service.ModelSettingsUpdate(model="not-saved")) + assert settings.OPENAI_MODEL == previous + assert "not-saved" not in isolated_settings.read_text(encoding="utf-8") + + +def test_key_not_in_validation_errors(isolated_settings): + with pytest.raises(ValueError) as exc: + service.save_model_settings( + service.ModelSettingsUpdate(model="test", api_key="secret\nvalue") + ) + assert "secret" not in str(exc.value) diff --git a/tests/unit/admin_console/test_security_boundary.py b/tests/unit/admin_console/test_security_boundary.py index a7d090a..fba36d2 100644 --- a/tests/unit/admin_console/test_security_boundary.py +++ b/tests/unit/admin_console/test_security_boundary.py @@ -57,7 +57,7 @@ async def test_credentials_endpoint_never_returns_key_material(monkeypatch): assert res.status_code == 200 assert honeytoken not in res.text providers = {entry["name"]: entry["configured"] for entry in res.json()["providers"]} - assert providers.get("google") is True + assert providers.get("openai") is True @pytest.mark.asyncio diff --git a/tests/unit/admin_console/test_step_repository.py b/tests/unit/admin_console/test_step_repository.py index da866a7..6f883ae 100644 --- a/tests/unit/admin_console/test_step_repository.py +++ b/tests/unit/admin_console/test_step_repository.py @@ -56,7 +56,7 @@ def test_retrying_llm_payload_keeps_user_visible_retry_details(): { "error": "503 UNAVAILABLE: high demand", "delay": 1.18, - "provider": "google", + "provider": "openai", "source": "provider_sdk", "recoverable": True, "internal_noise": "do not expose", @@ -69,7 +69,7 @@ def test_retrying_llm_payload_keeps_user_visible_retry_details(): assert normalized["payload"] == { "error": "503 UNAVAILABLE: high demand", "delay": 1.18, - "provider": "google", + "provider": "openai", "source": "provider_sdk", "recoverable": True, } @@ -81,7 +81,7 @@ def test_terminal_llm_payload_keeps_wait_and_retry_aggregation(): { "delay": 5.0, "scheduled_at": 100.0, - "provider": "google", + "provider": "openai", "source": "provider_sdk", } ] @@ -94,7 +94,7 @@ def test_terminal_llm_payload_keeps_wait_and_retry_aggregation(): "error": "503 UNAVAILABLE", "pause": True, "request_id": "request-1", - "provider": "google", + "provider": "openai", "waited_seconds": 18.5, "retries": retries, "messages": ["private prompt"], @@ -106,7 +106,7 @@ def test_terminal_llm_payload_keeps_wait_and_retry_aggregation(): assert normalized["payload"] == { "error": "503 UNAVAILABLE", - "provider": "google", + "provider": "openai", "pause": True, "request_id": "request-1", "waited_seconds": 18.5, diff --git a/tests/unit/agents/test_explorer.py b/tests/unit/agents/test_explorer.py index 0735746..56413f0 100644 --- a/tests/unit/agents/test_explorer.py +++ b/tests/unit/agents/test_explorer.py @@ -18,7 +18,6 @@ os.environ["ARTEMIS_USE_FILE_API"] = "false" import pytest from unittest.mock import AsyncMock, MagicMock, patch import json -from google.genai import types from artemis.agents.explorer.explorer import Explorer from artemis.context import ArtemisContext @@ -34,960 +33,6 @@ MOCK_PROMPT_JSON = """{ }""" -@pytest.fixture(autouse=True) -def disable_file_api(monkeypatch): - monkeypatch.setenv("ARTEMIS_USE_FILE_API", "false") - - -@pytest.mark.asyncio -async def test_explorer_run(): - # Mock context and state - mock_ctx = MagicMock(spec=ArtemisContext) - mock_ctx.device = MagicMock() - mock_ctx.device.device_width = 1080 - mock_ctx.device.device_height = 2400 - mock_ctx.data_engine = MagicMock() - mock_ctx.data_engine.base_dir = "/tmp/test_session" - mock_ctx.llm_config = MagicMock() - mock_ctx.llm_config.explorer = MagicMock() - mock_ctx.llm_config.explorer.model = "gemini-3.7-flash" - - mock_state = MagicMock(spec=State) - mock_state.latest_screenshot = "/tmp/test_screenshot.jpg" - - # Mock Gemini Client and Response - mock_client = MagicMock() - mock_client.aio = MagicMock() - mock_client.aio.models = MagicMock() - mock_response = MagicMock() - mock_response.text = "" - mock_func_call = MagicMock() - mock_func_call.name = "submit_answer" - mock_func_call.args = { - "candidates": [ - { - "label": "S1", - "coords": [500, 500], - "description": "Target button", - } - ], - "fallback_message": "", - } - mock_response.function_calls = [mock_func_call] - - mock_client.aio.models.generate_content = AsyncMock(return_value=mock_response) - - # Mock storage manager - mock_storage = MagicMock() - mock_storage.get_image.return_value = "dummy_hash" - - # Mock file reading for prompt - mock_prompt = MOCK_PROMPT_JSON - - # Custom mock open to handle both binary and text reads - def custom_open(file, mode="r", *args, **kwargs): - mock_file = MagicMock() - if "b" in mode: - # Provide a sequence of bytes for iter(lambda: f.read(4096), b"") and b64 encode - mock_file.read.side_effect = [ - b"fake_image_data", - b"", - b"fake_image_data", - ] - else: - mock_file.read.return_value = '{"templates": [], "instructions": ""}' - - mock_file.__enter__.return_value = mock_file - return mock_file - - with ( - patch( - "artemis.agents.explorer.explorer.genai.Client", - return_value=mock_client, - ), - patch( - "artemis.agents.explorer.run_setup.StorageManager", - return_value=mock_storage, - ), - patch("pathlib.Path.exists", return_value=True), - patch("pathlib.Path.read_text", return_value=mock_prompt), - patch("builtins.open", custom_open), - ): - explorer = Explorer(mock_ctx) - result = await explorer.run( - query="Find button", - context_feedback="", - screenshot_path="/tmp/test_screenshot.jpg", - minimal_list="", - state=mock_state, - ) - - expected_outcome = json.dumps(mock_func_call.args, ensure_ascii=False) - assert result == expected_outcome - assert mock_client.aio.models.generate_content.called - - -@pytest.mark.asyncio -async def test_explorer_submit_answer(): - # Mock context and state - mock_ctx = MagicMock(spec=ArtemisContext) - mock_ctx.device = MagicMock() - mock_ctx.device.device_width = 1080 - mock_ctx.device.device_height = 2400 - mock_ctx.data_engine = MagicMock() - mock_ctx.data_engine.base_dir = "/tmp/test_session" - mock_ctx.llm_config = MagicMock() - mock_ctx.llm_config.explorer = MagicMock() - mock_ctx.llm_config.explorer.model = "gemini-3.7-flash" - - mock_state = MagicMock(spec=State) - mock_state.latest_screenshot = "/tmp/test_screenshot.jpg" - - # Mock Gemini Client and Function Call for submit_answer - mock_client = MagicMock() - mock_client.aio = MagicMock() - mock_client.aio.models = MagicMock() - mock_response = MagicMock() - mock_response.text = "" - - mock_func_call = MagicMock() - mock_func_call.name = "submit_answer" - mock_func_call.args = { - "candidates": [ - { - "label": "S1", - "coords": [500, 500], - "description": "Target button", - } - ], - "fallback_message": "", - } - mock_response.function_calls = [mock_func_call] - - mock_client.aio.models.generate_content = AsyncMock(return_value=mock_response) - - # Mock storage manager - mock_storage = MagicMock() - mock_storage.get_image.return_value = "dummy_hash" - - # Mock file reading for prompt - mock_prompt = MOCK_PROMPT_JSON - - def custom_open(file, mode="r", *args, **kwargs): - mock_file = MagicMock() - if "b" in mode: - mock_file.read.side_effect = [ - b"fake_image_data", - b"", - b"fake_image_data", - ] - else: - mock_file.read.return_value = '{"templates": [], "instructions": ""}' - - mock_file.__enter__.return_value = mock_file - return mock_file - - with ( - patch( - "artemis.agents.explorer.explorer.genai.Client", - return_value=mock_client, - ), - patch( - "artemis.agents.explorer.run_setup.StorageManager", - return_value=mock_storage, - ), - patch("pathlib.Path.exists", return_value=True), - patch("pathlib.Path.read_text", return_value=mock_prompt), - patch("builtins.open", custom_open), - ): - explorer = Explorer(mock_ctx) - result = await explorer.run( - query="Find button", - context_feedback="", - screenshot_path="/tmp/test_screenshot.jpg", - minimal_list="", - state=mock_state, - ) - - # Ensure it returned the structured JSON outcome - expected_outcome = json.dumps(mock_func_call.args, ensure_ascii=False) - assert result == expected_outcome - assert mock_client.aio.models.generate_content.called - - -@pytest.mark.asyncio -async def test_explorer_submit_answer_self_correction(): - # Mock context and state - mock_ctx = MagicMock(spec=ArtemisContext) - mock_ctx.device = MagicMock() - mock_ctx.device.device_width = 1080 - mock_ctx.device.device_height = 2400 - mock_ctx.data_engine = MagicMock() - mock_ctx.data_engine.base_dir = "/tmp/test_session" - mock_ctx.llm_config = MagicMock() - mock_ctx.llm_config.explorer = MagicMock() - mock_ctx.llm_config.explorer.model = "gemini-3.7-flash" - - mock_state = MagicMock(spec=State) - mock_state.latest_screenshot = "/tmp/test_screenshot.jpg" - - # Response 1: Returns invalid coords [1500, -200] (out of bounds) - mock_response1 = MagicMock() - mock_response1.text = "" - - mock_func_call1 = MagicMock() - mock_func_call1.name = "submit_answer" - mock_func_call1.args = { - "candidates": [ - { - "label": "S1", - "coords": [1500, -200], - "description": "Ambiguous button", - } - ] - } - - mock_response1.candidates = [ - MagicMock() - ] # Provide dummy candidate content for loop history tracking - mock_response1.candidates[0].content = types.Content( - role="model", - parts=[ - types.Part.from_function_call( - name="submit_answer", - args={ - "candidates": [ - { - "label": "S1", - "coords": [1500, -200], - "description": "Ambiguous button", - } - ] - }, - ) - ], - ) - mock_response1.function_calls = [mock_func_call1] - - # Response 2: Returns corrected valid coords [500, 500] - mock_response2 = MagicMock() - mock_response2.text = "" - - mock_func_call2 = MagicMock() - mock_func_call2.name = "submit_answer" - mock_func_call2.args = { - "candidates": [ - { - "label": "S1", - "coords": [500, 500], - "description": "Corrected button", - } - ] - } - - mock_response2.candidates = [MagicMock()] - mock_response2.candidates[0].content = types.Content( - role="model", - parts=[ - types.Part.from_function_call( - name="submit_answer", - args={ - "candidates": [ - { - "label": "S1", - "coords": [500, 500], - "description": "Corrected button", - } - ] - }, - ) - ], - ) - mock_response2.function_calls = [mock_func_call2] - - mock_client = MagicMock() - mock_client.aio = MagicMock() - mock_client.aio.models = MagicMock() - mock_client.aio.models.generate_content = AsyncMock( - side_effect=[mock_response1, mock_response2] - ) - - # Mock storage manager - mock_storage = MagicMock() - mock_storage.get_image.return_value = "dummy_hash" - - # Mock file reading for prompt - mock_prompt = MOCK_PROMPT_JSON - - def custom_open(file, mode="r", *args, **kwargs): - mock_file = MagicMock() - if "b" in mode: - mock_file.read.side_effect = [ - b"fake_image_data", - b"", - b"fake_image_data", - ] - else: - mock_file.read.return_value = '{"templates": [], "instructions": ""}' - - mock_file.__enter__.return_value = mock_file - return mock_file - - with ( - patch( - "artemis.agents.explorer.explorer.genai.Client", - return_value=mock_client, - ), - patch( - "artemis.agents.explorer.run_setup.StorageManager", - return_value=mock_storage, - ), - patch("pathlib.Path.exists", return_value=True), - patch("pathlib.Path.read_text", return_value=mock_prompt), - patch("builtins.open", custom_open), - ): - explorer = Explorer(mock_ctx) - result = await explorer.run( - query="Find button", - context_feedback="", - screenshot_path="/tmp/test_screenshot.jpg", - minimal_list="", - state=mock_state, - ) - - # Assert loops successfully completed on the second corrected turn - expected_args = { - "candidates": [ - { - "label": "S1", - "coords": [500, 500], - "description": "Corrected button", - } - ] - } - assert result == json.dumps(expected_args, ensure_ascii=False) - assert mock_client.aio.models.generate_content.call_count == 2 - - -@pytest.mark.asyncio -async def test_explorer_initial_visual_marking(): - # Mock context and state with latest_ui_hierarchy - mock_ctx = MagicMock(spec=ArtemisContext) - mock_ctx.device = MagicMock() - mock_ctx.device.device_width = 1080 - mock_ctx.device.device_height = 2400 - mock_ctx.data_engine = MagicMock() - mock_ctx.data_engine.base_dir = "/tmp/test_session" - mock_ctx.llm_config = MagicMock() - mock_ctx.llm_config.explorer = MagicMock() - mock_ctx.llm_config.explorer.model = "gemini-3.7-flash" - - mock_state = MagicMock(spec=State) - mock_state.latest_screenshot = "/tmp/test_screenshot.jpg" - mock_state.latest_ui_hierarchy = [{"text": "Clickable Button", "bounds": "[100,100][200,200]"}] - - # Mock Gemini Client and response - mock_client = MagicMock() - mock_client.aio = MagicMock() - mock_client.aio.models = MagicMock() - mock_response = MagicMock() - mock_response.text = "" - - mock_func_call = MagicMock() - mock_func_call.name = "submit_answer" - mock_func_call.args = { - "candidates": [{"label": "1", "coords": [500, 500], "description": "Visual target"}] - } - mock_response.function_calls = [mock_func_call] - mock_client.aio.models.generate_content = AsyncMock(return_value=mock_response) - - # Mock storage manager - mock_storage = MagicMock() - mock_storage.get_image.return_value = "dummy_hash" - - # Mock file reading for prompt - mock_prompt = MOCK_PROMPT_JSON - - def custom_open(file, mode="r", *args, **kwargs): - mock_file = MagicMock() - if "b" in mode: - mock_file.read.side_effect = [ - b"fake_image_marked_data", - b"", - b"fake_image_marked_data", - ] - else: - mock_file.read.return_value = '{"templates": [], "instructions": ""}' - mock_file.__enter__.return_value = mock_file - return mock_file - - with ( - patch( - "artemis.agents.explorer.explorer.genai.Client", - return_value=mock_client, - ), - patch( - "artemis.agents.explorer.run_setup.StorageManager", - return_value=mock_storage, - ), - patch("artemis.agents.explorer.run_setup.draw_dots") as mock_draw_dots, - patch("pathlib.Path.exists", return_value=True), - patch("pathlib.Path.read_text", return_value=mock_prompt), - patch("builtins.open", custom_open), - ): - explorer = Explorer(mock_ctx) - await explorer.run( - query="Find button", - context_feedback="", - screenshot_path="/tmp/test_screenshot.jpg", - state=mock_state, - minimal_list="", - ) - - # Ensure draw_dots was successfully called with calculated center coordinates of bounds [100,100][200,200] -> [150, 150] - mock_draw_dots.assert_called_once() - points_arg = mock_draw_dots.call_args[0][1] - assert points_arg == [[150, 150]] - - labels_arg = mock_draw_dots.call_args[0][2] - assert labels_arg == ["1"] - - -@pytest.mark.asyncio -async def test_explorer_initial_visual_marking_previous_screenshot(): - from artemis.data_engine.models import ImageRecord - - # Mock context and state - mock_ctx = MagicMock(spec=ArtemisContext) - mock_ctx.device = MagicMock() - mock_ctx.device.device_width = 1080 - mock_ctx.device.device_height = 2400 - mock_ctx.data_engine = MagicMock() - mock_ctx.data_engine.base_dir = "/tmp/test_session" - mock_ctx.llm_config = MagicMock() - mock_ctx.llm_config.explorer = MagicMock() - mock_ctx.llm_config.explorer.model = "gemini-3.7-flash" - - mock_state = MagicMock(spec=State) - # current screenshot is different - mock_state.latest_screenshot = "/tmp/current_screenshot.jpg" - mock_state.latest_ui_hierarchy = [{"text": "Current Button", "bounds": "[300,300][400,400]"}] - - # Mock Gemini Client and response - mock_client = MagicMock() - mock_client.aio = MagicMock() - mock_client.aio.models = MagicMock() - mock_response = MagicMock() - mock_response.text = "" - - mock_func_call = MagicMock() - mock_func_call.name = "submit_answer" - mock_func_call.args = { - "candidates": [{"label": "1", "coords": [500, 500], "description": "Visual target"}] - } - mock_response.function_calls = [mock_func_call] - mock_client.aio.models.generate_content = AsyncMock(return_value=mock_response) - - # Mock storage manager to return correct previous image record from DB - mock_storage = MagicMock() - - # Mock ImageRecord with the previous screenshot's UI hierarchy - mock_record = MagicMock(spec=ImageRecord) - mock_record.ui_tree = [{"text": "Previous Button", "bounds": "[100,100][200,200]"}] - mock_storage.get_image.return_value = mock_record - - # Mock file reading for prompt - mock_prompt = MOCK_PROMPT_JSON - - def custom_open(file, mode="r", *args, **kwargs): - mock_file = MagicMock() - if "b" in mode: - mock_file.read.side_effect = [ - b"fake_image_marked_data", - b"", - b"fake_image_marked_data", - ] - else: - mock_file.read.return_value = '{"templates": [], "instructions": ""}' - mock_file.__enter__.return_value = mock_file - return mock_file - - with ( - patch( - "artemis.agents.explorer.explorer.genai.Client", - return_value=mock_client, - ), - patch( - "artemis.agents.explorer.run_setup.StorageManager", - return_value=mock_storage, - ), - patch("artemis.agents.explorer.run_setup.draw_dots") as mock_draw_dots, - patch("pathlib.Path.exists", return_value=True), - patch("pathlib.Path.read_text", return_value=mock_prompt), - patch("builtins.open", custom_open), - ): - explorer = Explorer(mock_ctx) - await explorer.run( - query="Find button", - context_feedback="", - # Pass previous screenshot path (different from state.latest_screenshot) - screenshot_path="/tmp/previous_screenshot.jpg", - state=mock_state, - minimal_list="", - ) - - # Ensure draw_dots was called with previous bounds [100,100][200,200] -> [150, 150] - # instead of current bounds [300,300][400,400] -> [350, 350] - mock_draw_dots.assert_called_once() - points_arg = mock_draw_dots.call_args[0][1] - assert points_arg == [[150, 150]] # Uses previous screenshot bounds! - assert points_arg != [[350, 350]] # Does not use current screenshot bounds! - - labels_arg = mock_draw_dots.call_args[0][2] - assert labels_arg == ["1"] - - -@pytest.mark.asyncio -async def test_explorer_initial_visual_marking_previous_screenshot_no_ui_tree(): - - # Mock context and state - mock_ctx = MagicMock(spec=ArtemisContext) - mock_ctx.device = MagicMock() - mock_ctx.device.device_width = 1080 - mock_ctx.device.device_height = 2400 - mock_ctx.data_engine = MagicMock() - mock_ctx.data_engine.base_dir = "/tmp/test_session" - mock_ctx.llm_config = MagicMock() - mock_ctx.llm_config.explorer = MagicMock() - mock_ctx.llm_config.explorer.model = "gemini-3.7-flash" - - mock_state = MagicMock(spec=State) - mock_state.latest_screenshot = "/tmp/current_screenshot.jpg" - mock_state.latest_ui_hierarchy = [{"text": "Current Button", "bounds": "[300,300][400,400]"}] - - # Mock Gemini Client and response - mock_client = MagicMock() - mock_client.aio = MagicMock() - mock_client.aio.models = MagicMock() - mock_response = MagicMock() - mock_response.text = "" - - mock_func_call = MagicMock() - mock_func_call.name = "submit_answer" - mock_func_call.args = { - "candidates": [{"label": "1", "coords": [500, 500], "description": "Visual target"}] - } - mock_response.function_calls = [mock_func_call] - mock_client.aio.models.generate_content = AsyncMock(return_value=mock_response) - - # Mock storage manager to return None (meaning not found in DB) - mock_storage = MagicMock() - mock_storage.get_image.return_value = None - - # Mock file reading for prompt - mock_prompt = MOCK_PROMPT_JSON - - def custom_open(file, mode="r", *args, **kwargs): - mock_file = MagicMock() - if "b" in mode: - mock_file.read.side_effect = [ - b"fake_image_raw_data", - b"", - b"fake_image_raw_data", - ] - else: - mock_file.read.return_value = '{"templates": [], "instructions": ""}' - mock_file.__enter__.return_value = mock_file - return mock_file - - with ( - patch( - "artemis.agents.explorer.explorer.genai.Client", - return_value=mock_client, - ), - patch( - "artemis.agents.explorer.run_setup.StorageManager", - return_value=mock_storage, - ), - patch("artemis.agents.explorer.run_setup.draw_dots") as mock_draw_dots, - patch("pathlib.Path.exists", return_value=True), - patch("pathlib.Path.read_text", return_value=mock_prompt), - patch("builtins.open", custom_open), - ): - explorer = Explorer(mock_ctx) - await explorer.run( - query="Find button", - context_feedback="", - # Pass previous screenshot path (different from state.latest_screenshot) - screenshot_path="/tmp/previous_screenshot.jpg", - state=mock_state, - minimal_list="", - ) - - # Ensure draw_dots was NEVER called since no ui_tree was available for previous screenshot - mock_draw_dots.assert_not_called() - - -@pytest.mark.asyncio -async def test_explorer_initial_visual_marking_previous_screenshot_ocr_fusion(): - from artemis.data_engine.models import ImageRecord - - # Mock context and state - mock_ctx = MagicMock(spec=ArtemisContext) - mock_ctx.device = MagicMock() - mock_ctx.device.device_width = 1080 - mock_ctx.device.device_height = 2400 - mock_ctx.data_engine = MagicMock() - mock_ctx.data_engine.base_dir = "/tmp/test_session" - mock_ctx.llm_config = MagicMock() - mock_ctx.llm_config.explorer = MagicMock() - mock_ctx.llm_config.explorer.model = "gemini-3.7-flash" - - mock_state = MagicMock(spec=State) - mock_state.latest_screenshot = "/tmp/current_screenshot.jpg" - - # Mock Gemini Client and response - mock_client = MagicMock() - mock_client.aio = MagicMock() - mock_client.aio.models = MagicMock() - mock_response = MagicMock() - mock_response.text = "" - - mock_func_call = MagicMock() - mock_func_call.name = "submit_answer" - mock_func_call.args = { - "candidates": [{"label": "1", "coords": [500, 500], "description": "Visual target"}] - } - mock_response.function_calls = [mock_func_call] - mock_client.aio.models.generate_content = AsyncMock(return_value=mock_response) - - # Mock storage manager - mock_storage = MagicMock() - - # Mock ImageRecord with previous raw XML and raw OCR - mock_record = MagicMock(spec=ImageRecord) - mock_record.ui_tree = [{"text": "", "bounds": "[100,100][200,200]"}] - # First ocr_result is full screen text and ignored; second overlaps with bounds - mock_record.ocr_result = [ - {"text": "full screen", "position": [{"x": 0, "y": 0}]}, - { - "text": "OCR Text", - "position": [ - {"x": 110, "y": 110}, - {"x": 190, "y": 110}, - {"x": 190, "y": 190}, - {"x": 110, "y": 190}, - ], - }, - ] - mock_storage.get_image.return_value = mock_record - - # Mock file reading for prompt - mock_prompt = MOCK_PROMPT_JSON - - def custom_open(file, mode="r", *args, **kwargs): - mock_file = MagicMock() - if "b" in mode: - mock_file.read.side_effect = [ - b"fake_image_marked_data", - b"", - b"fake_image_marked_data", - ] - else: - mock_file.read.return_value = '{"templates": [], "instructions": ""}' - mock_file.__enter__.return_value = mock_file - return mock_file - - with ( - patch( - "artemis.agents.explorer.explorer.genai.Client", - return_value=mock_client, - ), - patch( - "artemis.agents.explorer.run_setup.StorageManager", - return_value=mock_storage, - ), - patch("artemis.agents.explorer.run_setup.draw_dots") as mock_draw_dots, - patch("pathlib.Path.exists", return_value=True), - patch("pathlib.Path.read_text", return_value=mock_prompt), - patch("builtins.open", custom_open), - ): - explorer = Explorer(mock_ctx) - await explorer.run( - query="Find button", - context_feedback="", - screenshot_path="/tmp/previous_screenshot.jpg", - state=mock_state, - minimal_list="", - ) - - # Ensure draw_dots was called with center coordinates of the fused OCR element [110,110][190,190] -> [150, 150] - mock_draw_dots.assert_called_once() - points_arg = mock_draw_dots.call_args[0][1] - assert points_arg == [[150, 150]] # Successfully fused and drawn! - - labels_arg = mock_draw_dots.call_args[0][2] - assert labels_arg == ["1"] - - -@pytest.mark.asyncio -async def test_explorer_initial_visual_marking_previous_screenshot_on_the_fly_ocr(): - from artemis.data_engine.models import ImageRecord - - # Mock context and state - mock_ctx = MagicMock(spec=ArtemisContext) - mock_ctx.device = MagicMock() - mock_ctx.device.device_width = 1080 - mock_ctx.device.device_height = 2400 - mock_ctx.data_engine = MagicMock() - mock_ctx.data_engine.base_dir = "/tmp/test_session" - mock_ctx.llm_config = MagicMock() - mock_ctx.llm_config.explorer = MagicMock() - mock_ctx.llm_config.explorer.model = "gemini-3.7-flash" - - mock_state = MagicMock(spec=State) - mock_state.latest_screenshot = "/tmp/current_screenshot.jpg" - - # Mock Gemini Client and response - mock_client = MagicMock() - mock_client.aio = MagicMock() - mock_client.aio.models = MagicMock() - mock_response = MagicMock() - mock_response.text = "" - - mock_func_call = MagicMock() - mock_func_call.name = "submit_answer" - mock_func_call.args = { - "candidates": [{"label": "1", "coords": [500, 500], "description": "Visual target"}] - } - mock_response.function_calls = [mock_func_call] - mock_client.aio.models.generate_content = AsyncMock(return_value=mock_response) - - # Mock storage manager - mock_storage = MagicMock() - - # Mock ImageRecord containing ui_tree but ocr_result is None - mock_record = MagicMock(spec=ImageRecord) - mock_record.ui_tree = [{"text": "", "bounds": "[100,100][200,200]"}] - mock_record.ocr_result = None - mock_storage.get_image.return_value = mock_record - - # Mock file reading for prompt - mock_prompt = MOCK_PROMPT_JSON - - # Mock dynamic OCR result - mock_ocr_result = [ - {"text": "full screen", "position": [{"x": 0, "y": 0}]}, - { - "text": "On-the-fly OCR Text", - "position": [ - {"x": 110, "y": 110}, - {"x": 190, "y": 110}, - {"x": 190, "y": 190}, - {"x": 110, "y": 190}, - ], - }, - ] - - def custom_open(file, mode="r", *args, **kwargs): - mock_file = MagicMock() - if "b" in mode: - mock_file.read.side_effect = [ - b"fake_image_marked_data", - b"", - b"fake_image_marked_data", - ] - else: - mock_file.read.return_value = '{"templates": [], "instructions": ""}' - mock_file.__enter__.return_value = mock_file - return mock_file - - with ( - patch( - "artemis.agents.explorer.explorer.genai.Client", - return_value=mock_client, - ), - patch( - "artemis.agents.explorer.run_setup.StorageManager", - return_value=mock_storage, - ), - patch( - "artemis.agents.explorer.run_setup.perform_ocr", - new_callable=AsyncMock, - return_value=mock_ocr_result, - ) as mock_perform_ocr, - patch( - "artemis.agents.explorer.run_setup.is_ocr_configured", - return_value=True, - ), - patch("artemis.agents.explorer.run_setup.draw_dots") as mock_draw_dots, - patch("pathlib.Path.exists", return_value=True), - patch("pathlib.Path.read_text", return_value=mock_prompt), - patch("builtins.open", custom_open), - ): - explorer = Explorer(mock_ctx) - await explorer.run( - query="Find button", - context_feedback="", - screenshot_path="/tmp/previous_screenshot.jpg", - state=mock_state, - minimal_list="", - ) - - # Verify perform_ocr was triggered on-the-fly - mock_perform_ocr.assert_called_once() - - # Ensure draw_dots was called with center coordinates of the fused OCR element [110,110][190,190] -> [150, 150] - mock_draw_dots.assert_called_once() - points_arg = mock_draw_dots.call_args[0][1] - assert points_arg == [[150, 150]] - - labels_arg = mock_draw_dots.call_args[0][2] - assert labels_arg == ["1"] - - -@pytest.mark.asyncio -async def test_explorer_denylisted_tool(): - # Mock context and state - mock_ctx = MagicMock(spec=ArtemisContext) - mock_ctx.device = MagicMock() - mock_ctx.device.device_width = 1080 - mock_ctx.device.device_height = 2400 - mock_ctx.data_engine = MagicMock() - mock_ctx.data_engine.base_dir = "/tmp/test_session" - mock_ctx.llm_config = MagicMock() - mock_ctx.llm_config.explorer = MagicMock() - mock_ctx.llm_config.explorer.model = "gemini-3.7-flash" - mock_ctx.agent_config = MagicMock() - mock_ctx.agent_config.denylisted_tools = {"explorer": ["search_xml_ocr"]} - - mock_state = MagicMock(spec=State) - mock_state.latest_screenshot = "/tmp/test_screenshot.jpg" - - # Response 1: Model calls search_xml_ocr (which is denylisted) - mock_response1 = MagicMock() - mock_response1.text = "" - mock_func_call1 = MagicMock() - mock_func_call1.name = "search_xml_ocr" - mock_func_call1.args = {"use_coords": False, "search_value": "test"} - mock_response1.function_calls = [mock_func_call1] - mock_response1.candidates = [MagicMock()] - mock_response1.candidates[0].content = types.Content( - role="model", - parts=[types.Part.from_function_call(name="search_xml_ocr", args=mock_func_call1.args)], - ) - - # Response 2: Model calls submit_answer - mock_response2 = MagicMock() - mock_response2.text = "" - mock_func_call2 = MagicMock() - mock_func_call2.name = "submit_answer" - mock_func_call2.args = { - "candidates": [ - { - "label": "S1", - "coords": [500, 500], - "description": "Corrected button", - } - ], - "fallback_message": "", - } - mock_response2.function_calls = [mock_func_call2] - mock_response2.candidates = [MagicMock()] - mock_response2.candidates[0].content = types.Content( - role="model", - parts=[types.Part.from_function_call(name="submit_answer", args=mock_func_call2.args)], - ) - - mock_client = MagicMock() - mock_client.aio = MagicMock() - mock_client.aio.models = MagicMock() - mock_client.aio.models.generate_content = AsyncMock( - side_effect=[mock_response1, mock_response2] - ) - - # Mock storage manager - mock_storage = MagicMock() - mock_storage.get_image.return_value = "dummy_hash" - - # Mock file reading for prompt - mock_prompt = MOCK_PROMPT_JSON - - def custom_open(file, mode="r", *args, **kwargs): - mock_file = MagicMock() - if "b" in mode: - mock_file.read.side_effect = [ - b"fake_image_data", - b"", - b"fake_image_data", - ] - else: - mock_file.read.return_value = '{"templates": [], "instructions": ""}' - - mock_file.__enter__.return_value = mock_file - return mock_file - - with ( - patch( - "artemis.agents.explorer.explorer.genai.Client", - return_value=mock_client, - ), - patch( - "artemis.agents.explorer.run_setup.StorageManager", - return_value=mock_storage, - ), - patch("pathlib.Path.exists", return_value=True), - patch("pathlib.Path.read_text", return_value=mock_prompt), - patch("builtins.open", custom_open), - ): - explorer = Explorer(mock_ctx) - - # Verify get_exposed_tools doesn't expose search_xml_ocr - exposed_tools = explorer.get_exposed_tools() - exposed_tool_names = [tool.name for tool in exposed_tools] - assert "search_xml_ocr" not in exposed_tool_names - - result = await explorer.run( - query="Find button", - context_feedback="", - screenshot_path="/tmp/test_screenshot.jpg", - minimal_list="", - state=mock_state, - ) - - expected_outcome = json.dumps(mock_func_call2.args, ensure_ascii=False) - assert result == expected_outcome - - # Ensure we called generate_content twice - assert mock_client.aio.models.generate_content.call_count == 2 - - # Verify the contents passed to the second call contain the error response - # indicating that the tool is denylisted and unavailable. - call_args = mock_client.aio.models.generate_content.call_args_list[1] - contents = call_args[1]["contents"] - - # Find the tool response in contents - tool_content = next( - ( - c - for c in contents - if c.role in ("tool", "user") and any(p.function_response for p in c.parts) - ), - None, - ) - assert tool_content is not None - - # Verify that the response part contains the expected error message - found_error = False - for part in tool_content.parts: - func_resp = part.function_response - if func_resp and func_resp.name == "search_xml_ocr": - assert "denylisted and unavailable" in func_resp.response["error"] - found_error = True - - assert found_error - - @pytest.mark.asyncio async def test_explorer_inspect_region(): import pathlib @@ -1039,86 +84,6 @@ async def test_explorer_inspect_region(): mock_imwrite.assert_called_once() -@pytest.mark.asyncio -async def test_explorer_final_turn_tool_stripping(): - """On the final turn the Explorer strips other tools and injects the warning.""" - mock_ctx = MagicMock(spec=ArtemisContext) - mock_ctx.device = MagicMock() - mock_ctx.device.device_width = 1080 - mock_ctx.device.device_height = 2400 - mock_ctx.data_engine = MagicMock() - mock_ctx.data_engine.base_dir = "/tmp/test_session" - mock_ctx.llm_config = MagicMock() - mock_ctx.llm_config.explorer = MagicMock() - mock_ctx.llm_config.explorer.model = "gemini-3.7-flash" - - # A client already shared on the context selects the native engine and is - # reused lazily by ``run`` (no ``genai.Client`` construction). - mock_client = MagicMock() - mock_ctx._genai_client = mock_client - explorer = Explorer(mock_ctx) - assert explorer.use_native_gemini is True - - mock_state = MagicMock(spec=State) - mock_state.latest_screenshot = "/tmp/test_screenshot.jpg" - - # Turn 1: model returns search_xml_ocr - fc_search = MagicMock() - fc_search.name = "search_xml_ocr" - fc_search.args = {"use_coords": False, "search_value": "test"} - mock_response = MagicMock() - mock_response.function_calls = [fc_search] - mock_response.candidates = [MagicMock()] - mock_response.candidates[0].content = types.Content( - role="model", - parts=[types.Part.from_function_call(name="search_xml_ocr", args=fc_search.args)], - ) - - # Always return the same mock response to force it to run out of turns - mock_client.aio.models.generate_content = AsyncMock(return_value=mock_response) - - from unittest.mock import mock_open - - with ( - patch("builtins.open", mock_open(read_data=b"")), - patch("hashlib.sha256") as mock_sha, - patch("pathlib.Path.exists", return_value=True), - patch("pathlib.Path.read_text", return_value="{}"), - ): - mock_sha.return_value.hexdigest.return_value = "dummy_hash" - - await explorer.run( - query="test", - context_feedback="", - screenshot_path="/tmp/test_screenshot.jpg", - state=mock_state, - minimal_list="test list", - ) - - # The default "pro" tier budgets 3 turns (tiers.EXPLORER_TIERS) - assert mock_client.aio.models.generate_content.call_count == 3 - - # Check the final turn call (index 2) keyword args - call_args_3 = mock_client.aio.models.generate_content.call_args_list[2] - config = call_args_3.kwargs["config"] - - # Tools in the final call should only contain "submit_answer" - tools = config.tools[0].function_declarations - assert len(tools) == 1 - assert tools[0].name == "submit_answer" - - # Warning should be injected in contents - contents = call_args_3.kwargs["contents"] - # Find warning in contents parts - warning_found = False - for content in contents: - if content.role == "user": - for part in content.parts: - if part.text and "[WARNING] This is your final iteration" in part.text: - warning_found = True - assert warning_found, "Warning message was not found in contents" - - @pytest.mark.asyncio async def test_explorer_ask_perception_tool(): """The perception bundle answers from the in-memory screen index. @@ -1240,118 +205,3 @@ async def test_explorer_ask_perception_tool(): third_call = mock_draw_dots.call_args_list[2] assert third_call.kwargs.get("color") == "red" assert third_call.args[2] == ["D4"] - - -def test_explorer_prune_historical_images(): - from artemis.agents.explorer.explorer import Explorer - from google.genai import types - - mock_ctx = MagicMock() - explorer = Explorer(mock_ctx) - - part1 = types.Part(inline_data=types.Blob(data=b"img1", mime_type="image/jpeg")) - part2 = types.Part(inline_data=types.Blob(data=b"img2", mime_type="image/jpeg")) - part3 = types.Part.from_text(text="Some text") - - contents = [ - types.Content(role="user", parts=[part1, part3]), - types.Content(role="user", parts=[part2]), - ] - - explorer._prune_historical_images(contents, keep_last=1) - - # First image part should be pruned to text part - assert contents[0].parts[0].text == "[Image pruned to maintain visual focus on latest state]" - assert contents[0].parts[1].text == "Some text" - # Second (last) image part should be kept intact - assert contents[1].parts[0] is part2 - - -class _FakeGenaiError(Exception): - """Mimics google.genai.errors.APIError's shape (a ``code`` attribute).""" - - def __init__(self, message: str, code: int | None = None): - super().__init__(message) - self.code = code - - -@pytest.mark.asyncio -async def test_generate_content_reliability_permanent_error_is_not_retried(): - from artemis.agents.explorer.native_runner import _generate_content_with_reliability - from artemis.llm.reliability import LLMPermanentError - - calls = 0 - - async def op(): - nonlocal calls - calls += 1 - raise _FakeGenaiError("PERMISSION_DENIED: forbidden", code=403) - - with pytest.raises(LLMPermanentError) as exc_info: - await _generate_content_with_reliability(op) - assert calls == 1 - assert exc_info.value.failure.category.value == "authentication" - assert isinstance(exc_info.value.__cause__, _FakeGenaiError) - - -@pytest.mark.asyncio -async def test_generate_content_reliability_bad_request_is_not_retried(): - from artemis.agents.explorer.native_runner import _generate_content_with_reliability - from artemis.llm.reliability import LLMPermanentError - - calls = 0 - - async def op(): - nonlocal calls - calls += 1 - raise _FakeGenaiError("invalid request payload", code=400) - - with pytest.raises(LLMPermanentError) as exc_info: - await _generate_content_with_reliability(op) - assert calls == 1 - assert exc_info.value.failure.category.value == "bad_request" - - -@pytest.mark.asyncio -async def test_generate_content_reliability_retries_transient_then_succeeds(): - from artemis.agents.explorer import native_runner as native_runner_module - - calls = 0 - sentinel = object() - - async def op(): - nonlocal calls - calls += 1 - if calls < 2: - raise _FakeGenaiError("429 rate limit exceeded", code=429) - return sentinel - - with patch.object(native_runner_module.asyncio, "sleep", new=AsyncMock()) as sleep_mock: - result = await native_runner_module._generate_content_with_reliability(op) - assert result is sentinel - assert calls == 2 - assert sleep_mock.await_count == 1 - - -@pytest.mark.asyncio -async def test_generate_content_reliability_exhausts_to_typed_error(): - from artemis.agents.explorer import native_runner as native_runner_module - from artemis.llm.reliability import ( - FailureCategory, - LLMExhaustedError, - retry_policy_for, - ) - - calls = 0 - - async def op(): - nonlocal calls - calls += 1 - raise _FakeGenaiError("503 service unavailable", code=503) - - with patch.object(native_runner_module.asyncio, "sleep", new=AsyncMock()): - with pytest.raises(LLMExhaustedError) as exc_info: - await native_runner_module._generate_content_with_reliability(op) - assert calls == retry_policy_for(FailureCategory.PROVIDER_UNAVAILABLE).max_attempts - assert exc_info.value.failure.category.value == "provider_unavailable" - assert isinstance(exc_info.value.__cause__, _FakeGenaiError) diff --git a/tests/unit/agents/test_explorer_prepass.py b/tests/unit/agents/test_explorer_prepass.py index 998a0ad..939f5be 100644 --- a/tests/unit/agents/test_explorer_prepass.py +++ b/tests/unit/agents/test_explorer_prepass.py @@ -301,34 +301,6 @@ def test_enrich_candidates_withholds_degenerate_bounds(): assert explorer._enrich_candidates([cand]) == [cand] -def test_native_submit_enriches_registered_candidates(): - explorer = _indexed_explorer() - explorer._register_label("O2", explorer.screen_index.ocr_elements[0]) - call = MagicMock() - call.name = "submit_answer" - call.args = { - "candidates": [ - {"label": "O2", "coords": [185, 54], "description": "header"}, - {"label": "D3", "coords": [900, 100], "description": "icon"}, - ], - "fallback_message": "", - } - turn_record = {"tool_calls": []} - - raw = explorer._process_submit_answer([call], turn_record, []) - - data = json.loads(raw) - assert list(data) == ["candidates", "fallback_message"] - assert data["candidates"][0] == { - "label": "O2", - "coords": [185, 54], - "description": "header", - "bounds": [92, 41, 277, 66], - "source": "ocr", - } - assert data["candidates"][1] == call.args["candidates"][1] - - def test_universal_submit_enriches_registered_candidates(): explorer = _indexed_explorer() explorer._register_label("1", explorer.screen_index.exact_matches("Settings")[0]) diff --git a/tests/unit/agents/test_explorer_tiers.py b/tests/unit/agents/test_explorer_tiers.py index e8c400d..502582a 100644 --- a/tests/unit/agents/test_explorer_tiers.py +++ b/tests/unit/agents/test_explorer_tiers.py @@ -18,7 +18,6 @@ import json from types import SimpleNamespace from unittest.mock import AsyncMock, MagicMock, patch -from google.genai import types from langchain_core.messages import AIMessage, HumanMessage, ToolMessage import pytest @@ -61,36 +60,6 @@ def _state(screenshot: str) -> MagicMock: return state -def _submit_response(coords=(500, 600)) -> MagicMock: - call = MagicMock() - call.name = "submit_answer" - call.args = { - "candidates": [{"label": "D1", "coords": list(coords), "description": "target"}], - "fallback_message": "", - } - response = MagicMock() - response.function_calls = [call] - response.candidates = [MagicMock()] - response.candidates[0].content = types.Content( - role="model", - parts=[types.Part.from_function_call(name="submit_answer", args=call.args)], - ) - return response - - -def _native_client(responses) -> MagicMock: - client = MagicMock() - client.aio.models.generate_content = AsyncMock(side_effect=list(responses)) - cache = SimpleNamespace(name="cachedContents/abc") - client.aio.caches.create = AsyncMock(return_value=cache) - client.aio.caches.delete = AsyncMock() - client.aio.files.upload = AsyncMock( - return_value=SimpleNamespace(uri="files/1", mime_type="image/jpeg", name="files/1") - ) - client.aio.files.delete = AsyncMock() - return client - - @pytest.fixture def screenshot(tmp_path): path = tmp_path / "screen.jpg" @@ -110,9 +79,7 @@ def _isolated_env(monkeypatch): def test_construction_creates_no_genai_client(): - with patch(f"{EXPLORER}.genai.Client") as client_cls: - explorer = Explorer(_context()) - client_cls.assert_not_called() + explorer = Explorer(_context()) assert explorer.client is None assert explorer.tier is None @@ -128,7 +95,7 @@ def test_tier_sets_turn_budget_and_exposed_tools(version, max_turns, expected_to explorer = Explorer(_context()) with patch(f"{EXPLORER}.is_ocr_configured", return_value=True): explorer._apply_tier(get_tier(version)) - native_names = {t.name for t in explorer.get_exposed_tools()} + native_names = {t["function"]["name"] for t in explorer.get_exposed_tools()} universal_names = {t["function"]["name"] for t in explorer._universal_exposed_tools()} assert explorer.max_turns == max_turns @@ -141,7 +108,7 @@ def test_unconfigured_ocr_and_user_denylist_hide_tools_on_ultra(): explorer = Explorer(_context(denylist=["inspect_region"])) with patch(f"{EXPLORER}.is_ocr_configured", return_value=False): explorer._apply_tier(get_tier("ultra")) - names = {t.name for t in explorer.get_exposed_tools()} + names = {t["function"]["name"] for t in explorer.get_exposed_tools()} assert "get_ocr_list" not in names assert "inspect_region" not in names assert {"detect_objects", "ask_image_processor", "ask_perception_tool"} <= names @@ -152,21 +119,6 @@ def test_unconfigured_ocr_and_user_denylist_hide_tools_on_ultra(): # --------------------------------------------------------------------------- # -def test_gemini_model_without_google_key_uses_universal_engine(): - with patch.object(settings, "GOOGLE_API_KEY", None): - explorer = Explorer(_context(model="gemini-3.8-flash")) - assert explorer.use_native_gemini is False - - -def test_gemini_model_with_shared_client_uses_native_engine(): - ctx = _context(model="google/gemini-3.8-pro") - ctx._genai_client = MagicMock() - with patch.object(settings, "GOOGLE_API_KEY", None): - explorer = Explorer(ctx) - assert explorer.use_native_gemini is True - assert explorer.model_name == "gemini-3.8-pro" - - @pytest.mark.asyncio async def test_universal_run_without_google_key_never_touches_genai(screenshot): ctx = _context(model="claude-sonnet-4") @@ -191,15 +143,13 @@ async def test_universal_run_without_google_key_never_touches_genai(screenshot): storage.get_image.return_value = None with ( - patch.object(settings, "GOOGLE_API_KEY", None), - patch(f"{EXPLORER}.genai.Client") as client_cls, + patch.object(settings, "OPENAI_API_KEY", None), patch(f"{UNIVERSAL_RUNNER}.get_llm", return_value=llm), patch(f"{RUN_SETUP}.StorageManager", return_value=storage), ): explorer = Explorer(ctx) raw = await explorer.run("find it", "", screenshot, _state(screenshot), version="pro") - client_cls.assert_not_called() outcome = json.loads(raw) assert outcome["candidates"][0]["coords"] == [100, 200] # The universal engine only sees the pro tier's tools. @@ -283,45 +233,6 @@ async def test_universal_dispatch_rejects_denylisted_tool(): # --------------------------------------------------------------------------- # -def test_caching_tier_defaults(): - explorer = Explorer(_context()) - with patch.object(settings, "EXPLORER_CACHING", None): - assert explorer._resolve_caching(get_tier("pro"), None) is False - assert explorer._resolve_caching(get_tier("ultra"), None) is True - - -def test_caching_precedence(monkeypatch): - ctx = _context() - explorer = Explorer(ctx) - pro = get_tier("pro") - - with patch.object(settings, "EXPLORER_CACHING", None): - ctx.agent_config.explorer = SimpleNamespace(caching=True) - assert explorer._resolve_caching(pro, None) is True # agent config beats tier - - monkeypatch.setenv("ARTEMIS_EXPLORER_CACHING", "false") - assert explorer._resolve_caching(pro, None) is False # env beats agent config - - assert explorer._resolve_caching(pro, True) is True # explicit beats env - - with patch.object(settings, "EXPLORER_CACHING", True): - monkeypatch.delenv("ARTEMIS_EXPLORER_CACHING") - ctx.agent_config.explorer = SimpleNamespace(caching=None) - ctx.execution_setup = SimpleNamespace(explorer=SimpleNamespace(caching=False)) - assert explorer._resolve_caching(pro, None) is False # execution setup beats settings - - ctx.execution_setup = SimpleNamespace(explorer=SimpleNamespace(caching=None)) - assert explorer._resolve_caching(pro, None) is True # settings beat tier - - -def test_caching_ignores_mock_config_values(): - """A MagicMock context must fall through to the tier default, not force True.""" - ctx = MagicMock() - explorer = Explorer(ctx) - with patch.object(settings, "EXPLORER_CACHING", None): - assert explorer._resolve_caching(get_tier("pro"), None) is False - - # --------------------------------------------------------------------------- # # Tier-aware prompt # --------------------------------------------------------------------------- # @@ -381,7 +292,9 @@ def test_prompt_sections_render_shape(): assert lines[0] == "# IDENTITY" assert any(line.startswith("# OPERATING PRINCIPLES") for line in lines) body = [line for line in lines if line and not line.startswith("#")] - assert all(line.startswith("- ") or line.startswith("You are") for line in body) + assert "输出语言要求" in prompt + assert "简体中文" in prompt + assert any(line.startswith("You are") for line in body) # --------------------------------------------------------------------------- # @@ -402,14 +315,12 @@ async def test_flash_run_returns_detected_candidates(screenshot): ) with ( patch(f"{RUN_SETUP}._run_object_detection", detection), - patch(f"{EXPLORER}.genai.Client") as client_cls, ): explorer = Explorer(_context()) raw = await explorer.run( "gear icon | send button", "", screenshot, _state(screenshot), version="flash" ) - client_cls.assert_not_called() outcome = json.loads(raw) assert [c["label"] for c in outcome["candidates"]] == ["D1", "D2"] assert outcome["candidates"][0] == { @@ -435,114 +346,6 @@ async def test_flash_run_reports_missing_detection(screenshot): # --------------------------------------------------------------------------- # -@pytest.mark.asyncio -async def test_native_ultra_run_uses_async_cache_api(screenshot): - ctx = _context() - client = _native_client([_submit_response()]) - ctx._genai_client = client - storage = MagicMock() - storage.get_image.return_value = None - - with ( - patch(f"{EXPLORER}.genai.Client") as client_cls, - patch(f"{RUN_SETUP}.StorageManager", return_value=storage), - patch.object(settings, "EXPLORER_CACHING", None), - ): - explorer = Explorer(ctx) - raw = await explorer.run("target", "", screenshot, _state(screenshot), version="ultra") - - client_cls.assert_not_called() - assert json.loads(raw)["candidates"][0]["coords"] == [500, 600] - client.aio.caches.create.assert_awaited_once() - client.aio.caches.delete.assert_awaited_once_with(name="cachedContents/abc") - config = client.aio.models.generate_content.call_args.kwargs["config"] - assert config.cached_content == "cachedContents/abc" - - -@pytest.mark.asyncio -async def test_native_pro_run_skips_cache_by_default(screenshot): - ctx = _context() - client = _native_client([_submit_response()]) - ctx._genai_client = client - storage = MagicMock() - storage.get_image.return_value = None - - with ( - patch(f"{RUN_SETUP}.StorageManager", return_value=storage), - patch.object(settings, "EXPLORER_CACHING", None), - ): - await Explorer(ctx).run("target", "", screenshot, _state(screenshot), version="pro") - - client.aio.caches.create.assert_not_awaited() - client.aio.caches.delete.assert_not_awaited() - config = client.aio.models.generate_content.call_args.kwargs["config"] - assert {t.name for t in config.tools[0].function_declarations} == { - "ask_perception_tool", - "submit_answer", - } - - -@pytest.mark.asyncio -async def test_native_file_api_uploads_and_deletes_asynchronously(screenshot, monkeypatch): - monkeypatch.setenv("ARTEMIS_USE_FILE_API", "true") - ctx = _context() - client = _native_client([_submit_response()]) - ctx._genai_client = client - storage = MagicMock() - storage.get_image.return_value = None - - with patch(f"{RUN_SETUP}.StorageManager", return_value=storage): - await Explorer(ctx).run("target", "", screenshot, _state(screenshot), version="pro") - - client.aio.files.upload.assert_awaited_once_with(file=screenshot) - client.aio.files.delete.assert_awaited_once_with(name="files/1") - - -@pytest.mark.asyncio -async def test_run_closes_http_client_on_both_engines(screenshot): - storage = MagicMock() - storage.get_image.return_value = None - - # Native engine - ctx = _context() - client = _native_client([_submit_response()]) - ctx._genai_client = client - native = Explorer(ctx) - native.http_client = SimpleNamespace(aclose=AsyncMock()) - with patch(f"{RUN_SETUP}.StorageManager", return_value=storage): - await native.run("t", "", screenshot, _state(screenshot), version="pro") - native_close = native.http_client # already reset - assert native_close is None - - # Universal engine (model call fails -> finally still closes) - llm = MagicMock() - llm.bind_tools.return_value.ainvoke = AsyncMock(side_effect=RuntimeError("boom")) - universal = Explorer(_context(model="claude-sonnet-4")) - http_client = SimpleNamespace(aclose=AsyncMock()) - universal.http_client = http_client - with ( - patch(f"{RUN_SETUP}.StorageManager", return_value=storage), - patch(f"{UNIVERSAL_RUNNER}.get_llm", return_value=llm), - pytest.raises(RuntimeError), - ): - await universal.run("t", "", screenshot, _state(screenshot), version="pro") - http_client.aclose.assert_awaited_once() - assert universal.http_client is None - - -def test_missing_tool_calls_without_candidates_does_not_crash(): - explorer = Explorer(_context()) - response = MagicMock() - response.candidates = None - contents = [] - turn_record = {"tool_calls": []} - explorer._handle_missing_tool_calls(contents, response, turn_record, ["hi"], 3, 1) - assert contents[0].role == "model" - assert contents[0].parts[0].text == "hi" - assert "2 more" in contents[1].parts[0].text - assert turn_record["tool_calls"][0]["name"] == "hallucinated_plain_text" - - def test_tier_table_is_single_source_for_versions(): assert set(EXPLORER_TIERS) == {"flash", "pro", "ultra"} assert get_tier("bogus").name == "flash" diff --git a/tests/unit/agents/test_explorer_universal.py b/tests/unit/agents/test_explorer_universal.py index 65e86e4..9234ca8 100644 --- a/tests/unit/agents/test_explorer_universal.py +++ b/tests/unit/agents/test_explorer_universal.py @@ -50,9 +50,9 @@ def mock_context(tmp_path): def test_explorer_universal_engine_detection(mock_context): """Test that Explorer routes to Universal Engine when non-Gemini model is configured.""" - with patch.object(settings, "GOOGLE_API_KEY", None): + with patch.object(settings, "OPENAI_API_KEY", None): agent = Explorer(mock_context) - assert agent.use_native_gemini is False + assert not hasattr(agent, "_ensure_genai_client") assert agent.model_name == "claude-3-7-sonnet" diff --git a/tests/unit/agents/test_operator_transcript.py b/tests/unit/agents/test_operator_transcript.py index 0fa9b5b..dc363b5 100644 --- a/tests/unit/agents/test_operator_transcript.py +++ b/tests/unit/agents/test_operator_transcript.py @@ -54,8 +54,8 @@ from artemis.memory.transcript import ( # SHA-256 snapshots of the legacy system message with the fixed inputs below. # Update these when an intentional template change alters the rendered prompt. -GOLDEN_EMPTY_PLAN = "513e0341014b9a2342f608ad4dd173b7dcf5704ce53ee028ba302a9a1b696f96" -GOLDEN_SENTINEL_PLAN = "012fe1b08645266d5a7e518023e20fc6fbfa65d4f2d985847ebb06e0184c67ee" +GOLDEN_EMPTY_PLAN = "d715128625911aec46c83138e15aabfa967b385ab4c878509fe36ab4304fae2a" +GOLDEN_SENTINEL_PLAN = "e2cf4ede75ffd9e283159f70dcd5c94a169c18e9f6dd4d1e7aacf460e956eaf3" SCREENSHOT_B64 = base64.b64encode(b"fake-jpeg-bytes").decode("utf-8") @@ -77,7 +77,7 @@ async def _render_legacy_system(plan_and_history: str) -> str: @pytest.mark.asyncio -async def test_legacy_prompt_bytes_match_pre_split_golden(): +async def test_legacy_prompt_bytes_match_chinese_prompt_golden(): empty = await _render_legacy_system("No plan or history yet.") sentinel = await _render_legacy_system("PLAN_AND_HISTORY_SENTINEL\nline2") assert hashlib.sha256(empty.encode("utf-8")).hexdigest() == GOLDEN_EMPTY_PLAN diff --git a/tests/unit/agents/test_video_agentic.py b/tests/unit/agents/test_video_agentic.py deleted file mode 100644 index ad28bb7..0000000 --- a/tests/unit/agents/test_video_agentic.py +++ /dev/null @@ -1,1086 +0,0 @@ -# Copyright 2026 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -"""Agentic video understanding sub-agent (Gemini Interactions API).""" - -import json -from types import SimpleNamespace -from unittest.mock import AsyncMock, MagicMock, patch - -from artemis.agents.video_analyzer import chunk_agentic -from artemis.agents.video_analyzer.chunk_agentic import ( - _drive_agentic_loop, - build_interactions_submit_tool, - run_agentic_chunk_conversation, -) -from artemis.agents.video_analyzer.chunk_conversation import ( - _MISSING_SUMMARY_ERROR, - _NO_TOOL_CALL_ERROR, - _WRONG_TOOL_ERROR, - SubAgentAnswerExhausted, - _ChunkMedia, -) -from artemis.agents.video_analyzer.reliability import ( - AgenticVideoDegraded, - VideoFailureCategory, - classify_video_failure, - is_agentic_rejection, -) -from artemis.agents.video_analyzer.video_analyzer import VideoAnalyzer -from artemis.context import ArtemisContext -from pydantic import SecretStr -import pytest - -# --------------------------------------------------------------------- fakes - - -def _context(model: str = "gemini-3.8-flash", **video_cfg) -> MagicMock: - ctx = MagicMock(spec=ArtemisContext) - ctx._video_blackboard = None - ctx._video_circuit_breaker = None - ctx._mobile_controller = None - ctx._genai_client = None - ctx.execution_setup = None - ctx.data_engine = None - ctx.agent_config = SimpleNamespace( - video_analyzer=SimpleNamespace( - enable_ledger=True, - chunk_size_seconds=60.0, - min_chunk_seconds=4.0, - max_split_depth=4, - circuit_breaker_threshold=2, - circuit_breaker_cooldown_seconds=30.0, - action_window_seconds=2.0, - dense_action_fps=4.0, - max_dense_action_frames=24, - **video_cfg, - ) - ) - ctx.device = SimpleNamespace(device_id="agentic-device") - ctx.llm_config = MagicMock() - ctx.llm_config.utils.video_analyzer.model = model - ctx.llm_config.utils.video_analyzer.temperature = 0.2 - return ctx - - -def _function_call(call_id: str, arguments: dict, name: str = "submit_answer"): - return SimpleNamespace(type="function_call", id=call_id, name=name, arguments=arguments) - - -def _model_output(text: str): - return SimpleNamespace(type="model_output", content=[SimpleNamespace(type="text", text=text)]) - - -_USAGE = SimpleNamespace( - total_input_tokens=191, - total_output_tokens=655, - total_tokens=10571, - total_cached_tokens=0, - total_thought_tokens=0, - total_tool_use_tokens=9725, -) - - -def _interaction(interaction_id: str, steps: list, status: str = "requires_action"): - return SimpleNamespace(id=interaction_id, status=status, steps=steps, usage=_USAGE) - - -def _events(interaction, processing_calls: int = 2, *, argument_chunks: int = 1): - """Scripts the SSE stream the real API emits for ``interaction``. - - Mirrors production: processing steps arrive as start/delta/stop triples, - function-call arguments arrive only as ``arguments_delta`` JSON text, and - ``interaction.completed`` carries no steps. - """ - events = [ - SimpleNamespace( - event_type="interaction.created", - interaction=SimpleNamespace(id=interaction.id, status="in_progress"), - ) - ] - index = 0 - for _ in range(processing_calls): - events.append( - SimpleNamespace( - event_type="step.start", - index=index, - step=SimpleNamespace(type="processing_call", id=f"proc_{index}"), - ) - ) - events.append(SimpleNamespace(event_type="step.stop", index=index, usage=None)) - index += 1 - for step in interaction.steps: - if step.type == "function_call": - events.append( - SimpleNamespace( - event_type="step.start", - index=index, - step=SimpleNamespace( - type="function_call", id=step.id, name=step.name, arguments={} - ), - ) - ) - payload = json.dumps(step.arguments) - size = max(1, len(payload) // argument_chunks) - for start in range(0, len(payload), size): - events.append( - SimpleNamespace( - event_type="step.delta", - index=index, - delta=SimpleNamespace( - type="arguments_delta", arguments=payload[start : start + size] - ), - ) - ) - elif step.type == "model_output": - events.append( - SimpleNamespace( - event_type="step.start", - index=index, - step=SimpleNamespace(type="model_output", content=[]), - ) - ) - for content in step.content: - events.append( - SimpleNamespace( - event_type="step.delta", - index=index, - delta=SimpleNamespace(type="text", text=content.text), - ) - ) - events.append(SimpleNamespace(event_type="step.stop", index=index, usage=None)) - index += 1 - events.append( - SimpleNamespace( - event_type="interaction.completed", - interaction=SimpleNamespace( - id=interaction.id, status=interaction.status, steps=None, usage=interaction.usage - ), - ) - ) - return events - - -class FakeInteractions: - """Replays scripted event streams and records every request.""" - - def __init__(self, turns, get_results=()): - self.turns = list(turns) - self.get_results = list(get_results) - self.requests: list[dict] = [] - self.get_calls: list[str] = [] - - async def create(self, **request): - self.requests.append(request) - events = self.turns.pop(0) - if isinstance(events, Exception): - raise events - - async def gen(): - for event in events: - yield event - - return gen() - - async def get(self, interaction_id): - self.get_calls.append(interaction_id) - if not self.get_results: - raise AssertionError(f"unexpected interactions.get({interaction_id})") - return self.get_results.pop(0) - - -def _fake_client(turns, get_results=()): - client = MagicMock() - client.aio.interactions = FakeInteractions(turns, get_results) - client.aio.files.delete = AsyncMock() - return client - - -def _valid_event(start=1.0, end=2.0): - return { - "start_time": start, - "end_time": end, - "transcription": "Battery Saver toggled on", - "confidence_score": 0.9, - "verification_timestamp_secs": (start + end) / 2, - } - - -def _media(tmp_path): - media = _ChunkMedia() - media.path = tmp_path / "segment.mp4" - media.path.write_bytes(b"video") - media.compressed_path = media.path - media.actual_start = 0.0 - media.prompt_with_context = "Watch the toggle." - return media - - -def _stub_analyzer(client): - analyzer = MagicMock() - analyzer.client = client - analyzer.model_name = "gemini-3.8-flash" - analyzer.sub_system_prompt = "system" - analyzer.agentic_call_timeout_seconds = 30.0 - analyzer.ctx.data_engine = None - return analyzer - - -_UPLOADED = SimpleNamespace(name="files/abc", uri="https://files/abc", mime_type="video/mp4") - - -def _extraction(tmp_path): - raw_video = tmp_path / "segment.mp4" - raw_video.write_bytes(b"video") - extracted = SimpleNamespace( - success=True, - video_path=raw_video, - actual_start_relative_time=0.0, - duration_seconds=5.0, - warning=None, - ) - controller = SimpleNamespace(extract_segment_metadata=AsyncMock(return_value=extracted)) - return raw_video, controller - - -# ------------------------------------------------------------------- tools - - -def test_submit_tool_is_flat_json_schema_with_required_timeline(): - tool = build_interactions_submit_tool() - assert tool["type"] == "function" - assert tool["name"] == "submit_answer" - assert "function" not in tool - assert "timeline_events" in tool["parameters"]["required"] - assert tool["parameters"]["properties"]["timeline_events"]["type"] == "array" - - -# --------------------------------------------------------- mode resolution - - -@pytest.mark.asyncio -@pytest.mark.parametrize( - "model, video_cfg, expected_mode, expected_chunk", - [ - ("gemini-3.8-flash", {}, "agentic", 600.0), - ("gemini-3.8-flash", {"processing": "static"}, "static", 60.0), - ("gemini-3.8-flash", {"agentic_chunk_size_seconds": 240.0}, "agentic", 240.0), - ("gemini-3.5-flash-lite", {}, "static", 60.0), - ("gemini-3.5-flash-lite", {"processing": "agentic"}, "agentic", 600.0), - ("gemini-2.5-flash", {"processing": "agentic"}, "static", 60.0), - ], -) -async def test_engine_resolves_video_processing(model, video_cfg, expected_mode, expected_chunk): - with ( - patch( - "artemis.agents.video_analyzer.video_analyzer.settings.GOOGLE_API_KEY", - SecretStr("test-key"), - ), - patch( - "artemis.agents.video_analyzer.video_analyzer.genai.Client", - return_value=MagicMock(), - ), - patch( - "artemis.agents.video_analyzer.video_analyzer.cleanup_abandoned_gemini_files", - AsyncMock(), - ), - ): - analyzer = VideoAnalyzer(_context(model, **video_cfg)) - - assert analyzer.use_native_gemini is True - assert analyzer.video_processing == expected_mode - assert analyzer.chunk_size_seconds == expected_chunk - - -def test_universal_engine_never_uses_agentic_processing(): - with patch("artemis.agents.video_analyzer.video_analyzer.settings.GOOGLE_API_KEY", None): - analyzer = VideoAnalyzer(_context("gemini-3.8-flash")) - assert analyzer.use_native_gemini is False - assert analyzer.video_processing == "static" - assert analyzer.chunk_size_seconds == 60.0 - - -# ------------------------------------------------------------ conversation - - -@pytest.mark.asyncio -async def test_agentic_chunk_commits_answer_and_records_usage(tmp_path): - with patch("artemis.agents.video_analyzer.video_analyzer.settings.GOOGLE_API_KEY", None): - analyzer = VideoAnalyzer(_context()) - interaction = _interaction( - "v1_first", - [ - _function_call( - "call_1", - { - "summary": "Toggle enabled", - "analysis": "Switch turned on at 1.5s", - "timeline_events": [_valid_event()], - }, - ) - ], - ) - client = _fake_client([_events(interaction, argument_chunks=3)]) - analyzer.client = client - analyzer.use_native_gemini = True - analyzer.video_processing = "agentic" - analyzer.chunk_size_seconds = analyzer.agentic_chunk_size_seconds - raw_video, controller = _extraction(tmp_path) - - spans = [] - - class RecordingSpan: - def __init__(self, name, **_): - self.name = name - self.payload = {} - self.result = None - spans.append(self) - - def __enter__(self): - return self - - def __exit__(self, *exc): - return False - - with ( - patch( - "artemis.agents.video_analyzer.video_analyzer.get_controller", - return_value=controller, - ), - patch( - "artemis.agents.video_analyzer.video_analyzer.compress_video_for_api", - new=AsyncMock(return_value=raw_video), - ), - patch.object(analyzer, "upload_and_poll_file", new=AsyncMock(return_value=_UPLOADED)), - patch.object(chunk_agentic, "_persist_timeline_events", new=AsyncMock()) as persist, - patch.object(chunk_agentic, "TraceSpan", RecordingSpan), - ): - result = await analyzer._exec_single_chunk(0.0, 5.0, "verify toggle") - - assert ( - result == "[from 0.0s to 5.0s] Summary: Toggle enabled Analysis: Switch turned on at 1.5s" - ) - assert analyzer.blackboard.missing_intervals(0.0, 5.0, "verify toggle") == [] - persist.assert_awaited_once() - assert persist.await_args.args[1] == [_valid_event()] - - request = client.aio.interactions.requests[0] - assert request["model"] == "gemini-3.8-flash" - assert request["stream"] is True - assert request["input"][0] == { - "type": "video", - "uri": "https://files/abc", - "mime_type": "video/mp4", - "processing": "agentic", - } - assert request["input"][1]["type"] == "text" - assert request["tools"][0]["name"] == "submit_answer" - assert "previous_interaction_id" not in request - assert client.aio.interactions.get_calls == [] - client.aio.files.delete.assert_awaited_once_with(name="files/abc") - - call_span = next(s for s in spans if s.name == "gemini_agentic_video_call") - assert call_span.payload["usage_metadata"]["tool_use_tokens"] == 9725 - assert call_span.payload["processing_calls"] == 2 - assert call_span.result == "Function call: submit_answer" - - -@pytest.mark.asyncio -async def test_rejected_answer_is_sent_back_as_stateful_function_result(tmp_path): - bad_event = dict(_valid_event(), confidence_score=1.7) - first = _interaction( - "v1_first", - [ - _function_call( - "call_1", {"summary": "s1", "analysis": "a1", "timeline_events": [bad_event]} - ) - ], - ) - second = _interaction( - "v1_second", - [ - _function_call( - "call_2", {"summary": "s2", "analysis": "a2", "timeline_events": [_valid_event()]} - ) - ], - ) - client = _fake_client([_events(first), _events(second, processing_calls=0)]) - analyzer = _stub_analyzer(client) - - with patch.object(chunk_agentic, "_persist_timeline_events", new=AsyncMock()) as persist: - summary, analysis = await _drive_agentic_loop( - analyzer, _UPLOADED, None, _media(tmp_path), 0.0, 5.0, "verify toggle" - ) - - assert (summary, analysis) == ("s2", "a2") - persist.assert_awaited_once() - follow_up = client.aio.interactions.requests[1] - assert follow_up["previous_interaction_id"] == "v1_first" - assert len(follow_up["input"]) == 1 - result_step = follow_up["input"][0] - assert result_step["type"] == "function_result" - assert result_step["call_id"] == "call_1" - assert result_step["name"] == "submit_answer" - assert "confidence_score" in result_step["result"]["error"] - # system_instruction and tools are interaction-scoped: they are not - # inherited through previous_interaction_id and must be re-sent. - assert follow_up["system_instruction"] == analyzer.sub_system_prompt - assert follow_up["tools"][0]["name"] == "submit_answer" - - -@pytest.mark.asyncio -async def test_wrong_tool_is_rejected_then_accepted(tmp_path): - first = _interaction("v1_first", [_function_call("call_1", {}, name="ns:other_tool")]) - second = _interaction( - "v1_second", - [_function_call("call_2", {"summary": "s2", "analysis": "a2", "timeline_events": []})], - ) - client = _fake_client([_events(first, 0), _events(second, 0)]) - analyzer = _stub_analyzer(client) - - with patch.object(chunk_agentic, "_persist_timeline_events", new=AsyncMock()): - summary, analysis = await _drive_agentic_loop( - analyzer, _UPLOADED, None, _media(tmp_path), 0.0, 5.0, "verify toggle" - ) - - assert (summary, analysis) == ("s2", "a2") - follow_up = client.aio.interactions.requests[1] - assert follow_up["input"][0]["call_id"] == "call_1" - assert "submit_answer" in follow_up["input"][0]["result"]["error"] - assert follow_up["system_instruction"] == analyzer.sub_system_prompt - - -@pytest.mark.asyncio -async def test_missing_tool_call_gets_one_reminder_then_raises(tmp_path): - first = _interaction( - "v1_first", [_model_output("I looked but did not call the tool.")], "completed" - ) - second = _interaction("v1_second", [_model_output("Still just text.")], "completed") - client = _fake_client([_events(first, 0), _events(second, 0)]) - analyzer = _stub_analyzer(client) - - with pytest.raises(SubAgentAnswerExhausted) as raised: - await _drive_agentic_loop( - analyzer, _UPLOADED, None, _media(tmp_path), 0.0, 5.0, "verify toggle" - ) - - assert raised.value.reason == _NO_TOOL_CALL_ERROR - assert "never called submit_answer" in str(raised.value) - assert len(client.aio.interactions.requests) == 2 - reminder = client.aio.interactions.requests[1] - assert reminder["previous_interaction_id"] == "v1_first" - assert reminder["input"][0]["type"] == "text" - assert "submit_answer" in reminder["input"][0]["text"] - assert reminder["system_instruction"] == analyzer.sub_system_prompt - assert client.aio.interactions.get_calls == [] - - -@pytest.mark.asyncio -async def test_wrong_tool_on_every_turn_raises(tmp_path): - first = _interaction("v1_first", [_function_call("call_1", {}, name="ns:other_tool")]) - second = _interaction("v1_second", [_function_call("call_2", {}, name="other_tool")]) - client = _fake_client([_events(first, 0), _events(second, 0)]) - analyzer = _stub_analyzer(client) - - with ( - patch.object(chunk_agentic, "_persist_timeline_events", new=AsyncMock()) as persist, - pytest.raises(SubAgentAnswerExhausted) as raised, - ): - await _drive_agentic_loop( - analyzer, _UPLOADED, None, _media(tmp_path), 0.0, 5.0, "verify toggle" - ) - - assert raised.value.reason == _WRONG_TOOL_ERROR - persist.assert_not_awaited() - assert len(client.aio.interactions.requests) == 2 - - -@pytest.mark.asyncio -async def test_unparsed_call_on_requires_action_is_reread_by_id(tmp_path): - """A stream that ends in requires_action without a parsable call is re-read via get().""" - events = [ - SimpleNamespace(event_type="interaction.created", interaction=SimpleNamespace(id="v1_x")), - SimpleNamespace( - event_type="interaction.completed", - interaction=SimpleNamespace( - id="v1_x", status="requires_action", steps=None, usage=_USAGE - ), - ), - ] - full = _interaction( - "v1_x", - [_function_call("call_9", {"summary": "s9", "analysis": "a9", "timeline_events": []})], - ) - client = _fake_client([events], get_results=[full]) - analyzer = _stub_analyzer(client) - - with patch.object(chunk_agentic, "_persist_timeline_events", new=AsyncMock()): - summary, analysis = await _drive_agentic_loop( - analyzer, _UPLOADED, None, _media(tmp_path), 0.0, 5.0, "verify toggle" - ) - - assert (summary, analysis) == ("s9", "a9") - assert client.aio.interactions.get_calls == ["v1_x"] - - -@pytest.mark.asyncio -async def test_unparsable_arguments_drop_the_step_and_reread_by_id(tmp_path): - """Malformed streamed arguments must not stand in as an empty answer.""" - events = [ - SimpleNamespace(event_type="interaction.created", interaction=SimpleNamespace(id="v1_x")), - SimpleNamespace( - event_type="step.start", - index=0, - step=SimpleNamespace( - type="function_call", id="call_7", name="submit_answer", arguments={} - ), - ), - SimpleNamespace( - event_type="step.delta", - index=0, - delta=SimpleNamespace(type="arguments_delta", arguments='{"summary": "trunc'), - ), - SimpleNamespace(event_type="step.stop", index=0, usage=None), - SimpleNamespace( - event_type="interaction.completed", - interaction=SimpleNamespace( - id="v1_x", status="requires_action", steps=None, usage=_USAGE - ), - ), - ] - full = _interaction( - "v1_x", - [_function_call("call_7", {"summary": "s7", "analysis": "a7", "timeline_events": []})], - ) - client = _fake_client([events], get_results=[full]) - analyzer = _stub_analyzer(client) - - with patch.object(chunk_agentic, "_persist_timeline_events", new=AsyncMock()) as persist: - summary, analysis = await _drive_agentic_loop( - analyzer, _UPLOADED, None, _media(tmp_path), 0.0, 5.0, "verify toggle" - ) - - assert (summary, analysis) == ("s7", "a7") - assert client.aio.interactions.get_calls == ["v1_x"] - assert len(client.aio.interactions.requests) == 1 - persist.assert_awaited_once() - - -def test_pending_step_with_invalid_arguments_json_is_dropped(): - step = chunk_agentic._PendingStep(kind="function_call", call_id="c", name="submit_answer") - step.arguments_json.append("{not json") - assert step.finish() is None - - intact = chunk_agentic._PendingStep(kind="function_call", call_id="c", name="submit_answer") - intact.arguments_json.extend(['{"summary": ', '"ok"}']) - assert intact.finish().arguments == {"summary": "ok"} - - -@pytest.mark.asyncio -async def test_submit_answer_without_summary_is_sent_back_not_committed(tmp_path): - first = _interaction( - "v1_first", - [_function_call("call_1", {"timeline_events": [_valid_event()]})], - ) - second = _interaction( - "v1_second", - [ - _function_call( - "call_2", {"summary": "s2", "analysis": "a2", "timeline_events": [_valid_event()]} - ) - ], - ) - client = _fake_client([_events(first), _events(second, processing_calls=0)]) - analyzer = _stub_analyzer(client) - - with patch.object(chunk_agentic, "_persist_timeline_events", new=AsyncMock()) as persist: - summary, analysis = await _drive_agentic_loop( - analyzer, _UPLOADED, None, _media(tmp_path), 0.0, 5.0, "verify toggle" - ) - - assert (summary, analysis) == ("s2", "a2") - # Only the accepted answer reaches persistence. - persist.assert_awaited_once() - follow_up = client.aio.interactions.requests[1] - assert follow_up["previous_interaction_id"] == "v1_first" - result_step = follow_up["input"][0] - assert result_step["type"] == "function_result" - assert result_step["call_id"] == "call_1" - assert "summary" in result_step["result"]["error"] - - -@pytest.mark.asyncio -async def test_answer_never_given_a_summary_raises_and_persists_nothing(tmp_path): - first = _interaction("v1_first", [_function_call("call_1", {"timeline_events": []})]) - second = _interaction("v1_second", [_function_call("call_2", {"summary": " "})]) - client = _fake_client([_events(first, 0), _events(second, 0)]) - analyzer = _stub_analyzer(client) - - with ( - patch.object(chunk_agentic, "_persist_timeline_events", new=AsyncMock()) as persist, - pytest.raises(SubAgentAnswerExhausted) as raised, - ): - await _drive_agentic_loop( - analyzer, _UPLOADED, None, _media(tmp_path), 0.0, 5.0, "verify toggle" - ) - - assert raised.value.reason == _MISSING_SUMMARY_ERROR - persist.assert_not_awaited() - assert len(client.aio.interactions.requests) == 2 - - -@pytest.mark.asyncio -async def test_last_turn_timeline_validation_failure_raises_and_persists_nothing(tmp_path): - """A summary whose timeline still fails validation on the last turn is never accepted.""" - bad_event = dict(_valid_event(), confidence_score=1.7) - first = _interaction( - "v1_first", - [ - _function_call( - "call_1", {"summary": "s1", "analysis": "a1", "timeline_events": [bad_event]} - ) - ], - ) - out_of_range = dict(_valid_event(), verification_timestamp_secs=42.0) - second = _interaction( - "v1_second", - [ - _function_call( - "call_2", - {"summary": "s2", "analysis": "a2", "timeline_events": [out_of_range]}, - ) - ], - ) - client = _fake_client([_events(first, 0), _events(second, 0)]) - analyzer = _stub_analyzer(client) - - with ( - patch.object(chunk_agentic, "_persist_timeline_events", new=AsyncMock()) as persist, - pytest.raises(SubAgentAnswerExhausted) as raised, - ): - await _drive_agentic_loop( - analyzer, _UPLOADED, None, _media(tmp_path), 0.0, 5.0, "verify toggle" - ) - - # The message carries the last rejection the model received. - assert "verification_timestamp_secs" in raised.value.reason - assert "42.0" in str(raised.value) - persist.assert_not_awaited() - assert len(client.aio.interactions.requests) == 2 - assert client.aio.interactions.requests[1]["input"][0]["call_id"] == "call_1" - - -@pytest.mark.asyncio -async def test_exhausted_agentic_chunk_is_not_committed_to_the_blackboard(tmp_path): - first = _interaction("v1_first", [_model_output("text only")], "completed") - second = _interaction("v1_second", [_model_output("still text")], "completed") - client = _fake_client([_events(first, 0), _events(second, 0)]) - analyzer = _stub_analyzer(client) - analyzer.upload_and_poll_file = AsyncMock(return_value=_UPLOADED) - analyzer.cloud_files_to_cleanup = set() - - with pytest.raises(SubAgentAnswerExhausted): - await run_agentic_chunk_conversation( - analyzer, _media(tmp_path), 0.0, 5.0, 0.0, 5.0, "verify toggle", "lease-1" - ) - - analyzer.blackboard.complete_segment.assert_not_called() - # The uploaded clip is still cleaned up on the way out. - client.aio.files.delete.assert_awaited_once_with(name="files/abc") - - -@pytest.mark.parametrize( - "reason", - [ - _NO_TOOL_CALL_ERROR, - _WRONG_TOOL_ERROR, - _MISSING_SUMMARY_ERROR, - "Error: 'verification_timestamp_secs' 42.0 must fall within the start_time (0.0)" - " and end_time (5.0) boundaries. Fix the payload and call submit_answer again.", - "Error: 'confidence_score' is missing or out of bounds in one of the" - " timeline_events. It must be a float between 0.0 and 1.0 inclusive.", - ], -) -def test_exhaustion_is_classified_as_retryable_unknown(reason): - """No rejection text may accidentally match a transport / media marker.""" - failure = classify_video_failure(SubAgentAnswerExhausted(2, reason)) - assert failure.category is VideoFailureCategory.UNKNOWN - assert failure.retryable - assert failure.should_split - assert failure.should_fallback - - -@pytest.mark.asyncio -async def test_exhausted_chunk_leaves_the_interval_unanswered_for_re_analysis(tmp_path): - """End to end: exhaustion fails the segment instead of caching an empty success.""" - with patch("artemis.agents.video_analyzer.video_analyzer.settings.GOOGLE_API_KEY", None): - analyzer = VideoAnalyzer(_context()) - - def text_only_turns(): - first = _interaction("v1_first", [_model_output("text only")], "completed") - second = _interaction("v1_second", [_model_output("still text")], "completed") - return [_events(first, 0), _events(second, 0)] - - # UNKNOWN is retried once from scratch, so two full conversations are scripted. - analyzer.client = _fake_client(text_only_turns() + text_only_turns()) - analyzer.use_native_gemini = True - analyzer.video_processing = "agentic" - raw_video, controller = _extraction(tmp_path) - - with ( - patch( - "artemis.agents.video_analyzer.video_analyzer.get_controller", - return_value=controller, - ), - patch( - "artemis.agents.video_analyzer.video_analyzer.compress_video_for_api", - new=AsyncMock(return_value=raw_video), - ), - patch.object(analyzer, "upload_and_poll_file", new=AsyncMock(return_value=_UPLOADED)), - patch.object( - analyzer, - "_exec_single_chunk_universal", - new=AsyncMock(side_effect=RuntimeError("fallback engine declined")), - ) as universal, - patch("artemis.agents.video_analyzer.video_analyzer._record_llm_event"), - patch("artemis.agents.video_analyzer.video_analyzer.asyncio.sleep", new=AsyncMock()), - pytest.raises(RuntimeError, match="fallback engine declined"), - ): - await analyzer._exec_single_chunk(0.0, 5.0, "verify toggle") - - assert len(analyzer.client.aio.interactions.requests) == 4 - universal.assert_awaited_once() - # Nothing succeeded, so the next claim re-analyses instead of hitting a cache. - assert analyzer.blackboard.missing_intervals(0.0, 5.0, "verify toggle") == [(0.0, 5.0)] - assert analyzer.blackboard.claim_segment(0.0, 5.0, "verify toggle").state == "claimed" - - -@pytest.mark.asyncio -@pytest.mark.parametrize("status", ["failed", "cancelled", "incomplete", "budget_exceeded"]) -async def test_completed_with_terminal_failure_status_raises(tmp_path, status): - events = [ - SimpleNamespace(event_type="interaction.created", interaction=SimpleNamespace(id="v1")), - SimpleNamespace( - event_type="interaction.completed", - interaction=SimpleNamespace( - id="v1", - status=status, - steps=None, - usage=None, - errors=[SimpleNamespace(code="internal", message="video worker died")], - ), - ), - ] - client = _fake_client([events]) - analyzer = _stub_analyzer(client) - - with pytest.raises(RuntimeError, match=f"{status}.*video worker died"): - await _drive_agentic_loop( - analyzer, _UPLOADED, None, _media(tmp_path), 0.0, 5.0, "verify toggle" - ) - - # No follow-up is chained onto the failed interaction. - assert len(client.aio.interactions.requests) == 1 - assert client.aio.interactions.get_calls == [] - - -@pytest.mark.asyncio -async def test_completed_with_errors_raises_even_when_status_is_completed(tmp_path): - events = [ - SimpleNamespace(event_type="interaction.created", interaction=SimpleNamespace(id="v1")), - SimpleNamespace( - event_type="interaction.completed", - interaction=SimpleNamespace( - id="v1", - status="completed", - steps=None, - usage=None, - errors=[SimpleNamespace(code="unavailable", message="overloaded")], - ), - ), - ] - client = _fake_client([events]) - analyzer = _stub_analyzer(client) - - with pytest.raises(RuntimeError, match="overloaded"): - await _drive_agentic_loop( - analyzer, _UPLOADED, None, _media(tmp_path), 0.0, 5.0, "verify toggle" - ) - - -@pytest.mark.asyncio -async def test_stream_error_event_raises(tmp_path): - events = [ - SimpleNamespace(event_type="interaction.created", interaction=SimpleNamespace(id="v1")), - SimpleNamespace( - event_type="error", error=SimpleNamespace(code="unavailable", message="overloaded") - ), - ] - client = _fake_client([events]) - analyzer = _stub_analyzer(client) - - with pytest.raises(RuntimeError, match="overloaded"): - await _drive_agentic_loop( - analyzer, _UPLOADED, None, _media(tmp_path), 0.0, 5.0, "verify toggle" - ) - - -@pytest.mark.asyncio -async def test_progress_is_streamed_into_the_trace(tmp_path): - interaction = _interaction( - "v1_first", - [ - _model_output("Toggle appears at 74s."), - _function_call("call_1", {"summary": "s", "analysis": "a", "timeline_events": []}), - ], - ) - client = _fake_client([_events(interaction, processing_calls=3)]) - analyzer = _stub_analyzer(client) - lines = [] - analyzer.ctx.data_engine = SimpleNamespace( - stream_output=lambda trace_id, text, is_thinking=None: lines.append((is_thinking, text)), - record_trace=lambda **kw: None, - ) - - with patch.object(chunk_agentic, "_persist_timeline_events", new=AsyncMock()): - await _drive_agentic_loop( - analyzer, _UPLOADED, "trace-1", _media(tmp_path), 0.0, 5.0, "verify toggle" - ) - - thinking = [text for is_thinking, text in lines if is_thinking] - text = [text for is_thinking, text in lines if not is_thinking] - assert len(thinking) == 3 - assert "video lookup 3" in thinking[-1] - assert text == ["Toggle appears at 74s."] - - -# ---------------------------------------------------------------- degrade - - -class _BadRequest(Exception): - status_code = 400 - - -class _PayloadTooLarge(Exception): - status_code = 413 - - -def test_agentic_rejection_is_only_a_400_about_processing(): - rejected = _BadRequest("400 INVALID_ARGUMENT: processing 'agentic' is not supported") - assert is_agentic_rejection(classify_video_failure(rejected), rejected) - - other_400 = _BadRequest("400 INVALID_ARGUMENT: unknown field 'tools[0].foo'") - assert not is_agentic_rejection(classify_video_failure(other_400), other_400) - - too_large = _PayloadTooLarge("413 request entity too large: processing") - failure = classify_video_failure(too_large) - assert failure.category is VideoFailureCategory.BAD_REQUEST - assert failure.should_split - assert not is_agentic_rejection(failure, too_large) - - outage = RuntimeError("503 service unavailable while processing") - assert not is_agentic_rejection(classify_video_failure(outage), outage) - - -def test_degraded_marker_replans_without_fallback(): - failure = classify_video_failure(AgenticVideoDegraded("rejected")) - assert failure.should_split - assert not failure.should_fallback - assert not failure.retryable - - -def _agentic_analyzer(tmp_path, first_turn): - with patch("artemis.agents.video_analyzer.video_analyzer.settings.GOOGLE_API_KEY", None): - analyzer = VideoAnalyzer(_context()) - analyzer.client = _fake_client([first_turn]) - analyzer.use_native_gemini = True - analyzer.video_processing = "agentic" - analyzer.chunk_size_seconds = analyzer.agentic_chunk_size_seconds - raw_video, controller = _extraction(tmp_path) - return analyzer, raw_video, controller - - -@pytest.mark.asyncio -async def test_rejected_agentic_request_degrades_run_and_hands_chunk_back(tmp_path): - analyzer, raw_video, controller = _agentic_analyzer( - tmp_path, _BadRequest("processing agentic is not supported") - ) - - with ( - patch( - "artemis.agents.video_analyzer.video_analyzer.get_controller", - return_value=controller, - ), - patch( - "artemis.agents.video_analyzer.video_analyzer.compress_video_for_api", - new=AsyncMock(return_value=raw_video), - ), - patch.object(analyzer, "upload_and_poll_file", new=AsyncMock(return_value=_UPLOADED)), - patch( - "artemis.agents.video_analyzer.chunk_native._run_native_chunk_conversation", - new=AsyncMock(), - ) as static_path, - patch.object(analyzer, "_exec_single_chunk_universal", new=AsyncMock()) as universal, - patch("artemis.agents.video_analyzer.video_analyzer._record_llm_event") as record_event, - pytest.raises(AgenticVideoDegraded), - ): - await analyzer._exec_single_chunk(0.0, 300.0, "verify toggle") - - # The 300s clip is neither re-run statically nor handed to the fallback. - static_path.assert_not_awaited() - universal.assert_not_awaited() - assert analyzer.video_processing == "static" - assert analyzer.chunk_size_seconds == 60.0 - assert record_event.call_args.args[0] == "llm_fallback" - assert record_event.call_args.args[1]["reason"] == "agentic_video_rejected" - # The lease is released so the re-planned pieces can be claimed. - assert analyzer.blackboard.missing_intervals(0.0, 300.0, "verify toggle") == [(0.0, 300.0)] - - -@pytest.mark.asyncio -async def test_degraded_chunk_is_replanned_at_the_static_chunk_size(tmp_path): - analyzer, raw_video, controller = _agentic_analyzer( - tmp_path, _BadRequest("processing agentic is not supported") - ) - - async def static_answer(analyzer_, media, cs, ce, *rest): - return f"[from {cs:.1f}s to {ce:.1f}s] Summary: static Analysis: ok" - - with ( - patch( - "artemis.agents.video_analyzer.video_analyzer.get_controller", - return_value=controller, - ), - patch( - "artemis.agents.video_analyzer.video_analyzer.compress_video_for_api", - new=AsyncMock(return_value=raw_video), - ), - patch.object(analyzer, "upload_and_poll_file", new=AsyncMock(return_value=_UPLOADED)), - patch( - "artemis.agents.video_analyzer.chunk_native._run_native_chunk_conversation", - new=AsyncMock(side_effect=static_answer), - ) as static_path, - patch("artemis.agents.video_analyzer.video_analyzer._record_llm_event"), - ): - result = await analyzer.exec_spawn_sub_agent(0.0, 150.0, "verify toggle") - - # One agentic attempt on the 150s clip, then 60s static pieces. - assert len(analyzer.client.aio.interactions.requests) == 1 - segments = [(call.args[2], call.args[3]) for call in static_path.await_args_list] - assert sorted(segments) == [(0.0, 60.0), (60.0, 120.0), (120.0, 150.0)] - assert all(ce - cs <= 60.0 for cs, ce in segments) - assert "PARTIAL" not in result - assert result.count("Summary: static") == 3 - assert analyzer.video_processing == "static" - - -@pytest.mark.asyncio -async def test_413_in_agentic_mode_splits_without_degrading(tmp_path): - analyzer, raw_video, controller = _agentic_analyzer( - tmp_path, _PayloadTooLarge("413 request entity too large") - ) - - with ( - patch( - "artemis.agents.video_analyzer.video_analyzer.get_controller", - return_value=controller, - ), - patch( - "artemis.agents.video_analyzer.video_analyzer.compress_video_for_api", - new=AsyncMock(return_value=raw_video), - ), - patch.object(analyzer, "upload_and_poll_file", new=AsyncMock(return_value=_UPLOADED)), - patch.object( - analyzer, - "_exec_single_chunk_universal", - new=AsyncMock(side_effect=_PayloadTooLarge("413 still too large")), - ), - patch("artemis.agents.video_analyzer.video_analyzer._record_llm_event") as record_event, - pytest.raises(_PayloadTooLarge) as raised, - ): - await analyzer._exec_single_chunk(0.0, 300.0, "verify toggle") - - assert classify_video_failure(raised.value).should_split - assert analyzer.video_processing == "agentic" - assert analyzer.chunk_size_seconds == analyzer.agentic_chunk_size_seconds - reasons = [call.args[1].get("reason") for call in record_event.call_args_list] - assert "agentic_video_rejected" not in reasons - - -@pytest.mark.asyncio -async def test_unrelated_400_in_agentic_mode_does_not_degrade(tmp_path): - analyzer, raw_video, controller = _agentic_analyzer( - tmp_path, _BadRequest("400 INVALID_ARGUMENT: unknown field 'tools[0].foo'") - ) - - with ( - patch( - "artemis.agents.video_analyzer.video_analyzer.get_controller", - return_value=controller, - ), - patch( - "artemis.agents.video_analyzer.video_analyzer.compress_video_for_api", - new=AsyncMock(return_value=raw_video), - ), - patch.object(analyzer, "upload_and_poll_file", new=AsyncMock(return_value=_UPLOADED)), - patch.object( - analyzer, - "_exec_single_chunk_universal", - new=AsyncMock(side_effect=_BadRequest("400 unknown field")), - ), - patch("artemis.agents.video_analyzer.video_analyzer._record_llm_event") as record_event, - pytest.raises(_BadRequest), - ): - await analyzer._exec_single_chunk(0.0, 300.0, "verify toggle") - - assert analyzer.video_processing == "agentic" - reasons = [call.args[1].get("reason") for call in record_event.call_args_list] - assert "agentic_video_rejected" not in reasons - - -@pytest.mark.asyncio -async def test_transient_agentic_failure_flows_through_shared_retry(tmp_path): - with patch("artemis.agents.video_analyzer.video_analyzer.settings.GOOGLE_API_KEY", None): - analyzer = VideoAnalyzer(_context()) - interaction = _interaction( - "v1_retry", - [_function_call("call_1", {"summary": "s", "analysis": "a", "timeline_events": []})], - ) - analyzer.client = _fake_client( - [RuntimeError("503 provider unavailable"), _events(interaction, 1)] - ) - analyzer.use_native_gemini = True - analyzer.video_processing = "agentic" - raw_video, controller = _extraction(tmp_path) - - with ( - patch( - "artemis.agents.video_analyzer.video_analyzer.get_controller", - return_value=controller, - ), - patch( - "artemis.agents.video_analyzer.video_analyzer.compress_video_for_api", - new=AsyncMock(return_value=raw_video), - ), - patch.object(analyzer, "upload_and_poll_file", new=AsyncMock(return_value=_UPLOADED)), - patch( - "artemis.agents.video_analyzer.video_analyzer.asyncio.sleep", - new=AsyncMock(), - ), - ): - result = await analyzer._exec_single_chunk(0.0, 5.0, "verify toggle") - - assert result == "[from 0.0s to 5.0s] Summary: s Analysis: a" - assert analyzer.video_processing == "agentic" - assert len(analyzer.client.aio.interactions.requests) == 2 diff --git a/tests/unit/agents/test_video_analyzer.py b/tests/unit/agents/test_video_analyzer.py deleted file mode 100644 index 6a1bab0..0000000 --- a/tests/unit/agents/test_video_analyzer.py +++ /dev/null @@ -1,616 +0,0 @@ -# Copyright 2026 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import os -from pathlib import Path -from types import SimpleNamespace -from unittest.mock import AsyncMock, MagicMock, patch - -from artemis.agents.video_analyzer import chunk_conversation -from artemis.agents.video_analyzer.chunk_conversation import ( - _MISSING_SUMMARY_ERROR, - _NO_TOOL_CALL_ERROR, - SubAgentAnswerExhausted, - _ChunkMedia, - _drive_sub_agent_loop, - _run_native_chunk_conversation, -) -from artemis.agents.video_analyzer.video_analyzer import VideoAnalyzer -from artemis.context import ArtemisContext -from google.genai import types -import pytest - - -@pytest.mark.asyncio -async def test_video_analyzer_run(): - # Mock context - mock_ctx = MagicMock(spec=ArtemisContext) - mock_ctx.data_engine = None - mock_ctx.llm_config = MagicMock() - mock_ctx.llm_config.utils.video_analyzer = MagicMock() - mock_ctx.llm_config.utils.video_analyzer.model = "gemini-3.7-flash" - mock_ctx.agent_config = SimpleNamespace(video_analyzer=SimpleNamespace(processing="static")) - - # Mock Gemini Client - mock_client = MagicMock() - mock_client.aio = MagicMock() - mock_client.aio.models = MagicMock() - mock_chunk = MagicMock() - mock_chunk.text = "Final analysis: The action succeeded." - mock_chunk.function_calls = [] - - async def mock_stream(): - yield mock_chunk - - mock_client.aio.models.generate_content_stream = AsyncMock(return_value=mock_stream()) - - # Mock file reading for prompts - mock_prompt = "# Dynamic Video Analyzer..." - - with ( - patch( - "artemis.agents.video_analyzer.video_analyzer.genai.Client", - return_value=mock_client, - ), - patch( - "pathlib.Path.exists", - autospec=True, - side_effect=lambda self: not str(self).endswith(".jpg"), - ), - patch("pathlib.Path.read_text", return_value=mock_prompt), - patch( - "artemis.agents.video_analyzer.video_analyzer.cleanup_abandoned_gemini_files", - AsyncMock(), - ), - ): - analyzer = VideoAnalyzer(mock_ctx) - result, status = await analyzer.run( - time_description="from 10s to 15s", purpose="Verify action" - ) - - assert result == "Final analysis: The action succeeded." - assert status == "success" - assert mock_client.aio.models.generate_content_stream.called - - -@pytest.mark.asyncio -async def test_video_analyzer_preserves_thought_signature(): - # Mock context - mock_ctx = MagicMock(spec=ArtemisContext) - mock_ctx.data_engine = None - mock_ctx.llm_config = MagicMock() - mock_ctx.llm_config.utils.video_analyzer = MagicMock() - mock_ctx.llm_config.utils.video_analyzer.model = "gemini-3.7-flash" - mock_ctx.agent_config = SimpleNamespace(video_analyzer=SimpleNamespace(processing="static")) - - # Mock MobileDeviceController - mock_controller = MagicMock() - mock_controller.extract_segment_metadata = AsyncMock( - return_value=MagicMock( - success=True, - video_path="/tmp/video.mp4", - actual_start_relative_time=10.0, - ) - ) - - from google.genai import types - - dummy_signature = b"dummy_thought_signature_bytes_56789" - - # Turn 1: Model calls spawn_sub_agent - spawn_call = types.FunctionCall( - name="spawn_sub_agent", - args={ - "start_time": 10.0, - "end_time": 15.0, - "specific_query": "Verify login screen", - }, - ) - spawn_part = types.Part( - function_call=spawn_call, - thought_signature=dummy_signature, - ) - - mock_chunk_1 = MagicMock() - mock_chunk_1.text = "" - mock_chunk_1.function_calls = [spawn_call] - mock_chunk_1.candidates = [ - types.Candidate(content=types.Content(role="model", parts=[spawn_part])) - ] - - # Turn 2: Model returns final answer - mock_chunk_2 = MagicMock() - mock_chunk_2.text = "Final analysis: The spawn succeeded and login button is visible." - mock_chunk_2.function_calls = [] - mock_chunk_2.candidates = [ - types.Candidate( - content=types.Content( - role="model", - parts=[types.Part.from_text(text=mock_chunk_2.text)], - ) - ) - ] - - # We mock generate_content_stream - call_count = 0 - captured_contents = [] - - async def mock_stream_1(): - yield mock_chunk_1 - - async def mock_stream_2(): - yield mock_chunk_2 - - async def mock_generate_content_stream(model, contents, config): - nonlocal call_count - has_submit_answer = False - if config.tools: - for t in config.tools: - fd_list = getattr(t, "function_declarations", None) - if fd_list: - for fd in fd_list: - if fd.name == "submit_answer": - has_submit_answer = True - break - if not has_submit_answer: - captured_contents.append(list(contents)) # copy history contents passed to call - call_count += 1 - if call_count == 1: - return mock_stream_1() - else: - return mock_stream_2() - else: - submit_call = types.FunctionCall( - name="submit_answer", - args={ - "confidence_score": 0.9, - "summary": "Sub-agent verification finished", - "analysis": "Analysis here", - "verification_timestamp_secs": 10.0, - }, - ) - mock_sub_chunk = MagicMock() - mock_sub_chunk.text = "" - mock_sub_chunk.function_calls = [submit_call] - - async def sub_stream(): - yield mock_sub_chunk - - return sub_stream() - - # Mock Gemini Client - mock_client = MagicMock() - mock_client.aio = MagicMock() - mock_client.aio.files = MagicMock() - - mock_file = MagicMock() - mock_file.name = "dummy_cloud_file_123" - mock_file.uri = "https://gemini-file-api/dummy_cloud_file_123" - mock_file.mime_type = "video/mp4" - mock_client.aio.files.upload = AsyncMock(return_value=mock_file) - - mock_f_state = MagicMock() - mock_f_state.state.name = "ACTIVE" - mock_client.aio.files.get = AsyncMock(return_value=mock_f_state) - mock_client.aio.files.delete = AsyncMock() - - mock_client.aio.models = MagicMock() - mock_client.aio.models.generate_content_stream = AsyncMock( - side_effect=mock_generate_content_stream - ) - - # Mock file reading for prompts - mock_prompt = "# Dynamic Video Analyzer..." - - with ( - patch( - "artemis.agents.video_analyzer.video_analyzer.genai.Client", - return_value=mock_client, - ), - patch( - "artemis.agents.video_analyzer.video_analyzer.get_controller", - return_value=mock_controller, - ), - patch( - "pathlib.Path.exists", - autospec=True, - side_effect=lambda self: not str(self).endswith(".jpg"), - ), - patch( - "pathlib.Path.stat", - return_value=os.stat_result((0o100644, 0, 0, 0, 0, 0, 1024 * 1024, 0, 0, 0)), - ), - patch("pathlib.Path.read_text", return_value=mock_prompt), - patch( - "artemis.agents.video_analyzer.video_analyzer.cleanup_abandoned_gemini_files", - AsyncMock(), - ), - patch( - "artemis.agents.video_analyzer.video_analyzer.compress_video_for_api", - AsyncMock(return_value=Path("/tmp/video.mp4")), - ), - ): - analyzer = VideoAnalyzer(mock_ctx) - result, status = await analyzer.run( - time_description="from 10s to 15s", purpose="Verify login" - ) - - assert status == "success" - assert "spawn succeeded" in result - assert call_count == 2 - - # Verify that the second model call's history contains the model turn with the thought_signature - second_call_history = captured_contents[1] - assert len(second_call_history) >= 4 - - model_turn = second_call_history[1] - assert model_turn.role == "model" - assert len(model_turn.parts) == 1 - assert model_turn.parts[0].function_call.name == "spawn_sub_agent" - assert model_turn.parts[0].thought_signature == dummy_signature - - -@pytest.mark.asyncio -async def test_video_analyzer_sub_agent_confidence_validation(): - # Mock context - mock_ctx = MagicMock(spec=ArtemisContext) - mock_ctx.data_engine = None - mock_ctx.llm_config = MagicMock() - mock_ctx.llm_config.utils.video_analyzer = MagicMock() - mock_ctx.llm_config.utils.video_analyzer.model = "gemini-3.7-flash" - mock_ctx.agent_config = SimpleNamespace(video_analyzer=SimpleNamespace(processing="static")) - - # Mock MobileDeviceController - mock_controller = MagicMock() - mock_controller.extract_segment_metadata = AsyncMock( - return_value=MagicMock( - success=True, - video_path="/tmp/video.mp4", - actual_start_relative_time=10.0, - ) - ) - - from google.genai import types - - # Main agent responses - # Turn 1: Calls spawn_sub_agent - spawn_call = types.FunctionCall( - name="spawn_sub_agent", - args={ - "start_time": 10.0, - "end_time": 15.0, - "specific_query": "Verify login screen", - }, - ) - mock_main_chunk_1 = MagicMock() - mock_main_chunk_1.text = "" - mock_main_chunk_1.function_calls = [spawn_call] - - # Turn 2: Returns final answer - mock_main_chunk_2 = MagicMock() - mock_main_chunk_2.text = "Final blackboard status checked." - mock_main_chunk_2.function_calls = [] - - # Sub-agent responses - # Turn 1: Calls submit_answer with invalid confidence_score (string) - invalid_submit_call = types.FunctionCall( - name="submit_answer", - args={ - "timeline_events": [ - { - "confidence_score": "HIGH", - "transcription": "Invalid confidence score call", - "verification_timestamp_secs": 10.0, - } - ], - "summary": "Invalid confidence score call", - "analysis": "Some analysis", - }, - ) - sub_dummy_signature = b"sub_dummy_signature_9999" - sub_part_1 = types.Part( - function_call=invalid_submit_call, - thought_signature=sub_dummy_signature, - ) - mock_sub_chunk_1 = MagicMock() - mock_sub_chunk_1.text = "" - mock_sub_chunk_1.function_calls = [invalid_submit_call] - mock_sub_chunk_1.candidates = [ - types.Candidate(content=types.Content(role="model", parts=[sub_part_1])) - ] - - # Turn 2: Calls submit_answer with valid confidence_score - valid_submit_call = types.FunctionCall( - name="submit_answer", - args={ - "timeline_events": [ - { - "confidence_score": 0.8, - "transcription": "Valid confidence score call", - "verification_timestamp_secs": 10.0, - } - ], - "summary": "Valid confidence score call", - "analysis": "Some analysis", - }, - ) - mock_sub_chunk_2 = MagicMock() - mock_sub_chunk_2.text = "" - mock_sub_chunk_2.function_calls = [valid_submit_call] - mock_sub_chunk_2.candidates = [ - types.Candidate( - content=types.Content(role="model", parts=[types.Part(function_call=valid_submit_call)]) - ) - ] - - # Stream generator mocks - main_calls = 0 - sub_calls = 0 - captured_sub_contents = [] - - async def mock_main_stream(): - nonlocal main_calls - if main_calls == 0: - main_calls += 1 - yield mock_main_chunk_1 - else: - yield mock_main_chunk_2 - - async def mock_sub_stream(): - nonlocal sub_calls - if sub_calls == 0: - sub_calls += 1 - yield mock_sub_chunk_1 - else: - yield mock_sub_chunk_2 - - async def mock_generate_content_stream(model, contents, config): - system_instruction = config.system_instruction - if "Dynamic Video Analyzer" in str(system_instruction): - return mock_main_stream() - else: - captured_sub_contents.append(list(contents)) - return mock_sub_stream() - - # Mock Gemini Client - mock_client = MagicMock() - mock_client.aio = MagicMock() - mock_client.aio.files = MagicMock() - - mock_file = MagicMock() - mock_file.name = "dummy_cloud_file_123" - mock_file.uri = "https://gemini-file-api/dummy_cloud_file_123" - mock_file.mime_type = "video/mp4" - mock_client.aio.files.upload = AsyncMock(return_value=mock_file) - - mock_f_state = MagicMock() - mock_f_state.state.name = "ACTIVE" - mock_client.aio.files.get = AsyncMock(return_value=mock_f_state) - mock_client.aio.files.delete = AsyncMock() - - mock_client.aio.models = MagicMock() - mock_client.aio.models.generate_content_stream = AsyncMock( - side_effect=mock_generate_content_stream - ) - - # Mock file reading for prompts - mock_main_prompt = "# Dynamic Video Analyzer..." - mock_sub_prompt = "# Sub Agent..." - - def mock_read_text(self, encoding="utf-8"): - if "video_analyzer.md" in str(self): - return mock_main_prompt - elif "video_sub_agent.md" in str(self): - return mock_sub_prompt - return "" - - with ( - patch( - "artemis.agents.video_analyzer.video_analyzer.genai.Client", - return_value=mock_client, - ), - patch( - "artemis.agents.video_analyzer.video_analyzer.get_controller", - return_value=mock_controller, - ), - patch( - "pathlib.Path.exists", - autospec=True, - side_effect=lambda self: not str(self).endswith(".jpg"), - ), - patch( - "pathlib.Path.stat", - return_value=os.stat_result((0o100644, 0, 0, 0, 0, 0, 1024 * 1024, 0, 0, 0)), - ), - patch("pathlib.Path.read_text", mock_read_text), - patch("pathlib.Path.mkdir"), - patch("pathlib.Path.touch"), - patch("pathlib.Path.is_dir", return_value=True), - patch( - "artemis.agents.video_analyzer.video_analyzer.cleanup_abandoned_gemini_files", - AsyncMock(), - ), - patch( - "artemis.agents.video_analyzer.video_analyzer.compress_video_for_api", - AsyncMock(return_value=Path("/tmp/video.mp4")), - ), - patch( - "asyncio.create_subprocess_exec", - AsyncMock(return_value=MagicMock(communicate=AsyncMock(return_value=(b"", b"")))), - ), - ): - analyzer = VideoAnalyzer(mock_ctx) - result, status = await analyzer.run( - time_description="from 10s to 15s", purpose="Verify login" - ) - - assert status == "success" - assert sub_calls == 1 - assert len(analyzer.blackboard_entries) == 1 - entry = analyzer.blackboard_entries[0] - assert entry["confidence_score"] == 0.8 - assert entry["summary"] == "Valid confidence score call" - - # Verify that sub-agent turn 2 received the model turn with the thought_signature - assert len(captured_sub_contents) >= 2 - sub_turn_2_contents = captured_sub_contents[1] - model_turns = [c for c in sub_turn_2_contents if c.role == "model"] - assert len(model_turns) == 1 - assert model_turns[0].parts[0].thought_signature == sub_dummy_signature - - -# ------------------------------------------------- static sub-agent loop - - -def _static_media(tmp_path) -> _ChunkMedia: - media = _ChunkMedia() - media.path = tmp_path / "segment.mp4" - media.path.write_bytes(b"video") - media.compressed_path = media.path - media.actual_start = 0.0 - media.prompt_with_context = "Watch the toggle." - return media - - -def _valid_static_event() -> dict: - return { - "start_time": 1.0, - "end_time": 2.0, - "transcription": "Battery Saver toggled on", - "confidence_score": 0.9, - "verification_timestamp_secs": 1.5, - } - - -def _scripted_static_turns(*turns): - """Fakes ``_stream_sub_agent_turn`` with ``(text, function_calls)`` per turn.""" - scripted = list(turns) - - async def fake_turn(analyzer, sub_agent_contents, trace_id): - text, function_calls = scripted.pop(0) - return text, function_calls, [] - - return fake_turn - - -def _static_analyzer() -> MagicMock: - analyzer = MagicMock() - analyzer.model_name = "gemini-3.7-flash" - analyzer.sub_system_prompt = "system" - analyzer.ctx.data_engine = None - return analyzer - - -@pytest.mark.asyncio -async def test_static_submit_answer_without_summary_is_sent_back_then_accepted(tmp_path): - first = types.FunctionCall( - name="submit_answer", args={"timeline_events": [_valid_static_event()]} - ) - second = types.FunctionCall( - name="submit_answer", - args={"summary": "s2", "analysis": "a2", "timeline_events": []}, - ) - contents: list = [] - - with ( - patch.object( - chunk_conversation, - "_stream_sub_agent_turn", - new=_scripted_static_turns(("", [first]), ("", [second])), - ), - patch.object(chunk_conversation, "_persist_timeline_events", new=AsyncMock()) as persist, - ): - answer = await _drive_sub_agent_loop( - _static_analyzer(), contents, None, _static_media(tmp_path), 0.0, 5.0, "verify" - ) - - assert answer == ("s2", "a2") - # Only the accepted answer reaches persistence. - persist.assert_awaited_once() - assert persist.await_args.args[1] == [] - rejection = contents[-1] - assert rejection.role == "user" - assert rejection.parts[0].function_response.response["error"] == _MISSING_SUMMARY_ERROR - - -@pytest.mark.asyncio -async def test_static_loop_raises_when_no_turn_calls_submit_answer(tmp_path): - with ( - patch.object( - chunk_conversation, - "_stream_sub_agent_turn", - new=_scripted_static_turns(("text only", []), ("still text", [])), - ), - patch.object(chunk_conversation, "_persist_timeline_events", new=AsyncMock()) as persist, - pytest.raises(SubAgentAnswerExhausted) as raised, - ): - await _drive_sub_agent_loop( - _static_analyzer(), [], None, _static_media(tmp_path), 0.0, 5.0, "verify" - ) - - assert raised.value.reason == _NO_TOOL_CALL_ERROR - persist.assert_not_awaited() - - -@pytest.mark.asyncio -async def test_static_last_turn_timeline_failure_raises_and_persists_nothing(tmp_path): - bad = dict(_valid_static_event(), confidence_score="HIGH") - out_of_range = dict(_valid_static_event(), verification_timestamp_secs=42.0) - first = types.FunctionCall( - name="submit_answer", args={"summary": "s1", "timeline_events": [bad]} - ) - second = types.FunctionCall( - name="submit_answer", args={"summary": "s2", "timeline_events": [out_of_range]} - ) - - with ( - patch.object( - chunk_conversation, - "_stream_sub_agent_turn", - new=_scripted_static_turns(("", [first]), ("", [second])), - ), - patch.object(chunk_conversation, "_persist_timeline_events", new=AsyncMock()) as persist, - pytest.raises(SubAgentAnswerExhausted) as raised, - ): - await _drive_sub_agent_loop( - _static_analyzer(), [], None, _static_media(tmp_path), 0.0, 5.0, "verify" - ) - - assert "verification_timestamp_secs" in raised.value.reason - assert "42.0" in str(raised.value) - persist.assert_not_awaited() - - -@pytest.mark.asyncio -async def test_exhausted_static_chunk_is_not_committed_to_the_blackboard(tmp_path): - analyzer = _static_analyzer() - uploaded = SimpleNamespace(name="files/abc", uri="https://files/abc", mime_type="video/mp4") - analyzer.upload_and_poll_file = AsyncMock(return_value=uploaded) - analyzer.client.aio.files.delete = AsyncMock() - analyzer.cloud_files_to_cleanup = set() - - with ( - patch.object( - chunk_conversation, - "_stream_sub_agent_turn", - new=_scripted_static_turns(("text only", []), ("still text", [])), - ), - pytest.raises(SubAgentAnswerExhausted), - ): - await _run_native_chunk_conversation( - analyzer, _static_media(tmp_path), 0.0, 5.0, 0.0, 5.0, "verify", "lease-1" - ) - - analyzer.blackboard.complete_segment.assert_not_called() - analyzer.client.aio.files.delete.assert_awaited_once_with(name="files/abc") diff --git a/tests/unit/agents/test_video_analyzer_universal.py b/tests/unit/agents/test_video_analyzer_universal.py index a718aec..a49f4b4 100644 --- a/tests/unit/agents/test_video_analyzer_universal.py +++ b/tests/unit/agents/test_video_analyzer_universal.py @@ -50,9 +50,9 @@ def test_video_analyzer_universal_engine_detection(mock_context): """Test that VideoAnalyzer routes to Universal Engine when non-Gemini model is set.""" from artemis.config import settings - with patch.object(settings, "GOOGLE_API_KEY", None): + with patch.object(settings, "OPENAI_API_KEY", None): agent = VideoAnalyzer(mock_context) - assert agent.use_native_gemini is False + assert not hasattr(agent, "_ensure_genai_client") assert agent.model_name == "claude-3-7-sonnet" diff --git a/tests/unit/agents/test_video_audio_native.py b/tests/unit/agents/test_video_audio_native.py deleted file mode 100644 index 56db4cf..0000000 --- a/tests/unit/agents/test_video_audio_native.py +++ /dev/null @@ -1,157 +0,0 @@ -# Copyright 2026 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -"""Native Gemini audio agent loop: only accepted answers reach the blackboard.""" - -from types import SimpleNamespace -from unittest.mock import AsyncMock, MagicMock - -from artemis.agents.video_analyzer.audio_native import ( - _BAD_CONFIDENCE_ERROR, - _AudioMedia, - _drive_audio_agent_loop, - _run_native_audio_conversation, -) -from artemis.agents.video_analyzer.chunk_conversation import ( - _MISSING_SUMMARY_ERROR, - _NO_TOOL_CALL_ERROR, - SUB_AGENT_MAX_TURNS, -) -from artemis.agents.video_analyzer.reliability import ( - SubAgentAnswerExhausted, - VideoFailureCategory, - classify_video_failure, -) -from artemis.agents.video_analyzer.universal_tools import build_submit_answer_declaration -from google.genai import types -import pytest - - -def _audio_response(text: str, function_calls: list) -> SimpleNamespace: - """Fakes a non-streamed ``generate_content`` response for one audio turn.""" - parts = [types.Part(function_call=fc) for fc in function_calls] - if text: - parts.append(types.Part.from_text(text=text)) - return SimpleNamespace( - text=text, - function_calls=function_calls, - candidates=[SimpleNamespace(content=SimpleNamespace(parts=parts))], - ) - - -def _audio_analyzer(*turns) -> MagicMock: - """Analyzer stub whose Gemini client answers the scripted ``(text, calls)`` turns.""" - analyzer = MagicMock() - analyzer.model_name = "gemini-3.7-flash" - analyzer.audio_system_prompt = "system" - analyzer.submit_answer_tool = build_submit_answer_declaration() - analyzer.model_call_timeout_seconds = 5.0 - analyzer.ctx.data_engine = None - analyzer.client.aio.models.generate_content = AsyncMock( - side_effect=[_audio_response(text, calls) for text, calls in turns] - ) - return analyzer - - -def _audio_media(tmp_path) -> _AudioMedia: - media = _AudioMedia() - media.audio_path = tmp_path / "segment.wav" - media.audio_path.write_bytes(b"audio") - media.actual_start = 0.0 - media.prompt_with_context = "Listen for the chime." - return media - - -@pytest.mark.asyncio -async def test_audio_submit_answer_without_summary_is_sent_back_then_accepted(): - first = types.FunctionCall( - name="submit_answer", args={"summary": " ", "confidence_score": 0.9} - ) - second = types.FunctionCall( - name="submit_answer", - args={"summary": "chime\nheard", "analysis": "a2", "confidence_score": 0.7}, - ) - analyzer = _audio_analyzer(("", [first]), ("", [second])) - contents: list = [] - - answer = await _drive_audio_agent_loop(analyzer, contents) - - assert answer == ("chime heard", "a2", 0.7) - assert analyzer.client.aio.models.generate_content.await_count == 2 - # The blank summary went back to the model as a function_response error. - rejections = [ - c - for c in contents - if c.role == "user" and c.parts and c.parts[0].function_response is not None - ] - assert len(rejections) == 1 - assert rejections[0].parts[0].function_response.response["error"] == _MISSING_SUMMARY_ERROR - - -@pytest.mark.asyncio -async def test_audio_loop_raises_when_no_turn_calls_submit_answer(): - analyzer = _audio_analyzer(("text only", []), ("still text", [])) - - with pytest.raises(SubAgentAnswerExhausted) as raised: - await _drive_audio_agent_loop(analyzer, []) - - assert raised.value.turns == SUB_AGENT_MAX_TURNS - assert raised.value.reason == _NO_TOOL_CALL_ERROR - assert "No summary provided" not in str(raised.value) - - -@pytest.mark.asyncio -async def test_audio_loop_raises_when_confidence_score_is_never_valid(): - first = types.FunctionCall( - name="submit_answer", args={"summary": "s1", "confidence_score": "HIGH"} - ) - second = types.FunctionCall( - name="submit_answer", args={"summary": "s2", "confidence_score": 1.5} - ) - analyzer = _audio_analyzer(("", [first]), ("", [second])) - contents: list = [] - - with pytest.raises(SubAgentAnswerExhausted) as raised: - await _drive_audio_agent_loop(analyzer, contents) - - assert raised.value.reason == _BAD_CONFIDENCE_ERROR - assert contents[-1].role == "user" - assert contents[-1].parts[0].function_response.response["error"] == _BAD_CONFIDENCE_ERROR - - -@pytest.mark.asyncio -async def test_exhausted_audio_segment_is_not_committed_and_cloud_file_is_deleted(tmp_path): - analyzer = _audio_analyzer(("text only", []), ("still text", [])) - uploaded = SimpleNamespace(name="files/abc", uri="https://files/abc", mime_type="audio/wav") - analyzer.upload_and_poll_file = AsyncMock(return_value=uploaded) - analyzer.client.aio.files.delete = AsyncMock() - analyzer.cloud_files_to_cleanup = {"files/abc"} - analyzer._record_blackboard_entry = MagicMock() - analyzer.blackboard = MagicMock() - - with pytest.raises(SubAgentAnswerExhausted): - await _run_native_audio_conversation( - analyzer, _audio_media(tmp_path), 0.0, 5.0, 0.0, 5.0, "chime", "lease-1" - ) - - analyzer.blackboard.complete_segment.assert_not_called() - analyzer._record_blackboard_entry.assert_not_called() - analyzer.client.aio.files.delete.assert_awaited_once_with(name="files/abc") - assert analyzer.cloud_files_to_cleanup == set() - - -def test_sub_agent_exhaustion_is_classified_unknown(): - failure = classify_video_failure(SubAgentAnswerExhausted(2, "x")) - - assert failure.category is VideoFailureCategory.UNKNOWN diff --git a/tests/unit/agents/test_video_blackboard.py b/tests/unit/agents/test_video_blackboard.py index 3afa363..75b8b18 100644 --- a/tests/unit/agents/test_video_blackboard.py +++ b/tests/unit/agents/test_video_blackboard.py @@ -143,7 +143,7 @@ def analyzer_context(): @pytest.mark.asyncio async def test_spawn_sub_agent_reuses_complete_persistent_coverage(analyzer_context): - with patch("artemis.agents.video_analyzer.video_analyzer.settings.GOOGLE_API_KEY", None): + with patch("artemis.agents.video_analyzer.video_analyzer.settings.OPENAI_API_KEY", None): analyzer = VideoAnalyzer(analyzer_context) claim = analyzer.blackboard.claim_segment(10.0, 20.0, "verify login") analyzer.blackboard.complete_segment( @@ -165,7 +165,7 @@ async def test_spawn_sub_agent_reuses_complete_persistent_coverage(analyzer_cont @pytest.mark.asyncio async def test_spawn_sub_agent_returns_partial_and_keeps_prior_success(analyzer_context): - with patch("artemis.agents.video_analyzer.video_analyzer.settings.GOOGLE_API_KEY", None): + with patch("artemis.agents.video_analyzer.video_analyzer.settings.OPENAI_API_KEY", None): analyzer = VideoAnalyzer(analyzer_context) claim = analyzer.blackboard.claim_segment(0.0, 60.0, "summarize flow") analyzer.blackboard.complete_segment( @@ -207,7 +207,7 @@ async def test_video_coordinator_retries_transient_failures(): @pytest.mark.asyncio async def test_audio_analysis_reuses_exact_completed_coverage(analyzer_context): - with patch("artemis.agents.video_analyzer.video_analyzer.settings.GOOGLE_API_KEY", None): + with patch("artemis.agents.video_analyzer.video_analyzer.settings.OPENAI_API_KEY", None): analyzer = VideoAnalyzer(analyzer_context) claim = analyzer.blackboard.claim_segment(2.0, 6.0, "hear notification", modality="audio") analyzer.blackboard.complete_segment( diff --git a/tests/unit/agents/test_video_reliability.py b/tests/unit/agents/test_video_reliability.py index e887728..77d27e2 100644 --- a/tests/unit/agents/test_video_reliability.py +++ b/tests/unit/agents/test_video_reliability.py @@ -80,7 +80,7 @@ def test_circuit_breaker_opens_and_half_opens(): @pytest.mark.asyncio async def test_timeout_chunk_is_bisected_and_successful_leaves_survive(): - with patch("artemis.agents.video_analyzer.video_analyzer.settings.GOOGLE_API_KEY", None): + with patch("artemis.agents.video_analyzer.video_analyzer.settings.OPENAI_API_KEY", None): analyzer = VideoAnalyzer(_context()) async def analyze(start: float, end: float, query: str) -> str: @@ -98,7 +98,7 @@ async def test_timeout_chunk_is_bisected_and_successful_leaves_survive(): @pytest.mark.asyncio async def test_universal_primary_failure_uses_configured_fallback(): - with patch("artemis.agents.video_analyzer.video_analyzer.settings.GOOGLE_API_KEY", None): + with patch("artemis.agents.video_analyzer.video_analyzer.settings.OPENAI_API_KEY", None): analyzer = VideoAnalyzer(_context()) primary = MagicMock() @@ -126,57 +126,8 @@ async def test_universal_primary_failure_uses_configured_fallback(): assert get_model.call_args_list[1].kwargs["use_fallback"] is True -@pytest.mark.asyncio -async def test_native_chunk_exhaustion_commits_universal_fallback(tmp_path): - with patch("artemis.agents.video_analyzer.video_analyzer.settings.GOOGLE_API_KEY", None): - analyzer = VideoAnalyzer(_context()) - analyzer.use_native_gemini = True - raw_video = tmp_path / "segment.mp4" - raw_video.write_bytes(b"video") - extracted = SimpleNamespace( - success=True, - video_path=raw_video, - actual_start_relative_time=0.0, - duration_seconds=5.0, - warning=None, - ) - controller = SimpleNamespace(extract_segment_metadata=AsyncMock(return_value=extracted)) - fallback_text = "[from 0.0s to 5.0s] Summary: fallback recovered Analysis: grounded" - - with ( - patch( - "artemis.agents.video_analyzer.video_analyzer.get_controller", - return_value=controller, - ), - patch( - "artemis.agents.video_analyzer.video_analyzer.compress_video_for_api", - new=AsyncMock(return_value=raw_video), - ), - patch.object( - analyzer, - "upload_and_poll_file", - new=AsyncMock(side_effect=RuntimeError("503 provider unavailable")), - ) as upload, - patch.object( - analyzer, - "_exec_single_chunk_universal", - new=AsyncMock(return_value=fallback_text), - ) as fallback, - patch( - "artemis.agents.video_analyzer.video_analyzer.asyncio.sleep", - new=AsyncMock(), - ), - ): - result = await analyzer._exec_single_chunk(0.0, 5.0, "verify transition") - - assert result == fallback_text - assert upload.await_count == 2 - fallback.assert_awaited_once() - assert analyzer.blackboard.missing_intervals(0.0, 5.0, "verify transition") == [] - - def test_action_timestamps_drive_dense_sampling(): - with patch("artemis.agents.video_analyzer.video_analyzer.settings.GOOGLE_API_KEY", None): + with patch("artemis.agents.video_analyzer.video_analyzer.settings.OPENAI_API_KEY", None): analyzer = VideoAnalyzer(_context()) step = SimpleNamespace(timestamp=104.0, action_taken={"name": "tap"}) storage = SimpleNamespace(get_steps=lambda _session: [step]) @@ -304,7 +255,7 @@ class _AgenticRejected(Exception): @pytest.mark.asyncio async def test_pending_chunk_sized_for_agentic_ceiling_is_not_run_statically(tmp_path): """A chunk planned at 600s whose run degraded before it started is handed back.""" - with patch("artemis.agents.video_analyzer.video_analyzer.settings.GOOGLE_API_KEY", None): + with patch("artemis.agents.video_analyzer.video_analyzer.settings.OPENAI_API_KEY", None): analyzer = VideoAnalyzer(_context()) analyzer.use_native_gemini = True # A sibling chunk already flipped the run to static (60s ceiling). @@ -318,7 +269,7 @@ async def test_pending_chunk_sized_for_agentic_ceiling_is_not_run_statically(tmp return_value=controller, ), patch( - "artemis.agents.video_analyzer.chunk_native._run_native_chunk_conversation", + "artemis.agents.video_analyzer.chunk_runner._prepare_chunk_media", new=AsyncMock(), ) as static_path, patch.object(analyzer, "_exec_single_chunk_universal", new=AsyncMock()) as universal, @@ -335,83 +286,10 @@ async def test_pending_chunk_sized_for_agentic_ceiling_is_not_run_statically(tmp assert analyzer.blackboard.missing_intervals(0.0, 150.0, "verify toggle") == [(0.0, 150.0)] -@pytest.mark.asyncio -async def test_sibling_chunk_degraded_mid_run_is_replanned_into_static_pieces(tmp_path): - """Two 600s chunks: the first is rejected while the second is still in media prep.""" - with patch("artemis.agents.video_analyzer.video_analyzer.settings.GOOGLE_API_KEY", None): - analyzer = VideoAnalyzer(_context()) - analyzer.use_native_gemini = True - analyzer.video_processing = "agentic" - analyzer.chunk_size_seconds = analyzer.agentic_chunk_size_seconds - assert analyzer.chunk_size_seconds == 600.0 - - raw_video = tmp_path / "segment.mp4" - raw_video.write_bytes(b"video") - first_rejected = asyncio.Event() - - async def extract(start: float, end: float): - if start >= 600.0 and analyzer.video_processing == "agentic": - # The second 600s chunk is mid-prep when the first one degrades. - await first_rejected.wait() - return SimpleNamespace( - success=True, - video_path=raw_video, - actual_start_relative_time=start, - duration_seconds=end - start, - warning=None, - ) - - controller = SimpleNamespace(extract_segment_metadata=AsyncMock(side_effect=extract)) - agentic_calls: list[tuple[float, float]] = [] - - async def agentic(analyzer_, media, cs, ce, *rest): - agentic_calls.append((cs, ce)) - first_rejected.set() - raise _AgenticRejected("400 INVALID_ARGUMENT: processing 'agentic' is not supported") - - async def static_answer(analyzer_, media, cs, ce, *rest): - return f"[from {cs:.1f}s to {ce:.1f}s] Summary: static Analysis: ok" - - with ( - patch( - "artemis.agents.video_analyzer.video_analyzer.get_controller", - return_value=controller, - ), - patch( - "artemis.agents.video_analyzer.video_analyzer.compress_video_for_api", - new=AsyncMock(return_value=raw_video), - ), - patch( - "artemis.agents.video_analyzer.chunk_native.run_agentic_chunk_conversation", - new=AsyncMock(side_effect=agentic), - ), - patch( - "artemis.agents.video_analyzer.chunk_native._run_native_chunk_conversation", - new=AsyncMock(side_effect=static_answer), - ) as static_path, - patch.object(analyzer, "_exec_single_chunk_universal", new=AsyncMock()) as universal, - patch("artemis.agents.video_analyzer.video_analyzer._record_llm_event"), - ): - result = await analyzer.exec_spawn_sub_agent(0.0, 1200.0, "verify toggle") - - # Only the first chunk ever reached the agentic API; the second never ran - # its 600s clip statically and neither went to the universal fallback. - assert agentic_calls == [(0.0, 600.0)] - universal.assert_not_awaited() - segments = sorted((call.args[2], call.args[3]) for call in static_path.await_args_list) - assert len(segments) == 20 - assert segments[0] == (0.0, 60.0) - assert segments[-1] == (1140.0, 1200.0) - assert all(ce - cs <= 60.0 for cs, ce in segments) - assert "PARTIAL" not in result - assert result.count("Summary: static") == 20 - assert analyzer.video_processing == "static" - - @pytest.mark.asyncio async def test_short_degraded_chunk_is_retried_statically_once(): """A 5s chunk (below min_chunk*2) is re-run as-is instead of failing.""" - with patch("artemis.agents.video_analyzer.video_analyzer.settings.GOOGLE_API_KEY", None): + with patch("artemis.agents.video_analyzer.video_analyzer.settings.OPENAI_API_KEY", None): analyzer = VideoAnalyzer(_context()) calls: list[tuple[float, float]] = [] @@ -436,7 +314,7 @@ async def test_short_degraded_chunk_is_retried_statically_once(): @pytest.mark.asyncio async def test_static_retry_of_degraded_chunk_is_bounded(): """A second degrade on the same interval is terminal: no loop, no bisect.""" - with patch("artemis.agents.video_analyzer.video_analyzer.settings.GOOGLE_API_KEY", None): + with patch("artemis.agents.video_analyzer.video_analyzer.settings.OPENAI_API_KEY", None): analyzer = VideoAnalyzer(_context()) calls: list[tuple[float, float]] = [] diff --git a/tests/unit/config/test_video_processing_config.py b/tests/unit/config/test_video_processing_config.py deleted file mode 100644 index f24683b..0000000 --- a/tests/unit/config/test_video_processing_config.py +++ /dev/null @@ -1,39 +0,0 @@ -# Copyright 2026 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -"""The video-processing knob is typed once, in the Google provider module.""" - -from typing import get_args - -from pydantic import ValidationError -import pytest - -from artemis.config.agent import VideoAnalyzerConfig -from artemis.llm.google import VideoProcessing - - -def test_processing_field_reuses_the_provider_literal(): - assert VideoAnalyzerConfig.model_fields["processing"].annotation is VideoProcessing - assert set(get_args(VideoProcessing)) == {"auto", "agentic", "static"} - - -def test_processing_defaults_to_auto_and_accepts_every_mode(): - assert VideoAnalyzerConfig().processing == "auto" - for mode in get_args(VideoProcessing): - assert VideoAnalyzerConfig(processing=mode).processing == mode - - -def test_processing_rejects_unknown_modes(): - with pytest.raises(ValidationError, match="processing"): - VideoAnalyzerConfig(processing="bogus") diff --git a/tests/unit/core/test_diagnostics.py b/tests/unit/core/test_diagnostics.py index 322c0f2..f8cef93 100644 --- a/tests/unit/core/test_diagnostics.py +++ b/tests/unit/core/test_diagnostics.py @@ -52,7 +52,7 @@ async def test_readiness_engine_run_all(): assert "python_runtime" in probe_ids assert "system_config" in probe_ids assert "android_adb" in probe_ids - assert "gemini_api_key" in probe_ids + assert "openai_api_key" in probe_ids assert "vision_ocr_key" in probe_ids assert "toolchain" in probe_ids @@ -357,7 +357,7 @@ async def test_adb_probe_prefers_unlocked_device_when_one_is_locked(monkeypatch) async def test_llm_credentials_probe_structure(): """Verify LLMCredentialsProbe returns correct category and schema.""" probe = LLMCredentialsProbe() - assert probe.probe_id == "gemini_api_key" + assert probe.probe_id == "openai_api_key" assert probe.category == ProbeCategory.CREDENTIALS assert probe.is_blocker is True @@ -393,19 +393,17 @@ async def test_probe_target_serial_forwards_to_adb_probe(): @pytest.mark.asyncio -async def test_credentials_probe_and_dynamic_update(): - """Verify dynamic API key updates and metadata reflection.""" +async def test_credentials_probe_and_dynamic_update(monkeypatch): from artemis.config import settings + from pydantic import SecretStr - settings.set_api_key("google", "test_gemini_key_1234567890", persist_to_env=False) - - probe = LLMCredentialsProbe() - result = await probe.probe() + monkeypatch.setattr(settings, "OPENAI_API_KEY", SecretStr("test_key_1234567890")) + result = await LLMCredentialsProbe().probe() assert result.status == ProbeStatus.PASS - assert "current_key" in result.metadata - assert result.metadata["current_key"] == "test_gemini_key_1234567890" - assert "api_keys" in result.metadata - assert result.metadata["api_keys"]["google"] == "test_gemini_key_1234567890" + assert result.id == "openai_api_key" + assert "test_key_1234567890" not in repr(result.metadata) + assert "current_key" not in result.metadata + assert "api_keys" not in result.metadata @pytest.mark.asyncio diff --git a/tests/unit/core/test_readiness.py b/tests/unit/core/test_readiness.py index 0cfb0c7..db1a390 100644 --- a/tests/unit/core/test_readiness.py +++ b/tests/unit/core/test_readiness.py @@ -129,7 +129,7 @@ def test_sort_by_fix_order_follows_check_order_and_appends_unknown_ids(): "python_runtime", "system_config", "integration_host", - "gemini_api_key", + "openai_api_key", "android_adb", "toolchain", "vision_ocr_key", diff --git a/tests/unit/mcp/test_diagnose_tool.py b/tests/unit/mcp/test_diagnose_tool.py index cd4627f..fec44ef 100644 --- a/tests/unit/mcp/test_diagnose_tool.py +++ b/tests/unit/mcp/test_diagnose_tool.py @@ -21,6 +21,7 @@ import shutil import tempfile import time from unittest.mock import AsyncMock, MagicMock, patch +from pydantic import SecretStr import pytest @@ -108,7 +109,7 @@ def _credentials_metadata() -> dict: return { "providers": [ { - "provider": "google", + "provider": "openai", "label": "Gemini", "masked": "AIza...abcd", "raw_key": "SECRET-GOOGLE", @@ -140,7 +141,7 @@ def _healthy_probes() -> list[ProbeResult]: _probe("system_config", ProbeStatus.PASS), _probe("toolchain", ProbeStatus.PASS, blocker=False, category=ProbeCategory.TOOLCHAIN), _probe( - "gemini_api_key", + "openai_api_key", ProbeStatus.PASS, category=ProbeCategory.CREDENTIALS, metadata=_credentials_metadata(), @@ -286,6 +287,15 @@ def _run( ): """Run the tool with every side-effecting collaborator stubbed.""" with ExitStack() as stack: + stack.enter_context( + patch.object( + type(diagnose.settings), + "get_api_key", + side_effect=lambda p: SecretStr( + {"openai": "SECRET-OPENAI", "ocr": "SECRET-OCR"}[p] + ), + ) + ) fake_helper = MagicMock() fake_helper.status = MagicMock( side_effect=lambda serial: dict(helper_status or _helper_healthy(serial)) @@ -462,7 +472,7 @@ def test_ready_environment_reports_ready_with_slim_shape(temp_trace_env): "python_runtime", "system_config", "integration_host", - "gemini_api_key", + "openai_api_key", "android_adb", ] assert result["device"] == { @@ -508,10 +518,10 @@ def test_failing_checks_keep_scrubbed_facts_and_fix_list(temp_trace_env): probes[5].status = ProbeStatus.WARN result = _run(probes) - creds = next(c for c in result["checks"] if c["id"] == "gemini_api_key") + creds = next(c for c in result["checks"] if c["id"] == "openai_api_key") assert creds["category"] == "auth" assert creds["facts"]["providers"] == [ - {"provider": "google", "label": "Gemini", "masked": "AIza...abcd"}, + {"provider": "openai", "label": "Gemini", "masked": "AIza...abcd"}, {"provider": "openai", "label": "ChatGPT", "masked": "sk-...wxyz"}, ] assert "api_keys" not in creds["facts"] @@ -635,7 +645,7 @@ def test_default_emulator_command_without_installed_avd_is_not_run(temp_trace_en def test_missing_credentials_point_to_env_file_not_chat(temp_trace_env): probes = _healthy_probes() probes[3] = _probe( - "gemini_api_key", + "openai_api_key", ProbeStatus.FAIL, category=ProbeCategory.CREDENTIALS, summary="Key Missing", @@ -816,51 +826,19 @@ def test_verify_credentials_reports_every_provider_without_leaking_keys(temp_tra assert result["verdict"] == "ready" assert result["credentials"] == [ - {"provider": "google", "label": "Gemini", "valid": True, "message": "verified"}, - {"provider": "openai", "label": "ChatGPT", "valid": True, "message": "verified"}, + {"provider": "openai", "label": "OpenAI Responses", "valid": True, "message": "verified"}, {"provider": "ocr", "label": "Vision OCR", "valid": True, "message": "verified"}, ] called = {call.args[0]: call.args[1] for call in validate.await_args_list} - assert called == {"google": "SECRET-GOOGLE", "openai": "SECRET-OPENAI", "ocr": "SECRET-OCR"} + assert called == {"openai": "SECRET-OPENAI", "ocr": "SECRET-OCR"} assert all(call.kwargs["timeout"] == 12.0 for call in validate.await_args_list) assert "SECRET" not in repr(result) -def test_verify_credentials_calls_endpoint_providers_by_url(temp_trace_env): - """A custom / Ollama / vLLM entry carries its base URL as the "key": the - check must hit that endpoint (no auth header) instead of validating the - URL as if it were an API key.""" - validate = AsyncMock(return_value=(True, "verified")) - cred = _probe( - "gemini_api_key", - ProbeStatus.PASS, - category=ProbeCategory.CREDENTIALS, - metadata={ - "providers": [ - { - "provider": "ollama", - "label": "Local Ollama", - "raw_key": "http://localhost:11434/v1", - }, - {"provider": "google", "label": "Gemini", "raw_key": "SECRET-GOOGLE"}, - ], - "api_keys": {}, - }, - ) - probes = [p for p in _healthy_probes() if p.id != "gemini_api_key"] + [cred] - _run(probes, validate=validate, verify_credentials=True) - - calls = {call.args[0]: call for call in validate.await_args_list} - assert calls["ollama"].args[1] == "EMPTY" - assert calls["ollama"].kwargs["base_url"] == "http://localhost:11434/v1" - assert calls["google"].args[1] == "SECRET-GOOGLE" - assert "base_url" not in calls["google"].kwargs - - def test_invalid_primary_credential_blocks_and_redacts_message(temp_trace_env): async def _validate(provider, api_key, timeout=12.0): - if provider == "google": - return False, f"Gemini API verification failed (400): key {api_key} invalid" + if provider == "openai": + return False, f"OpenAI Responses API verification failed (400): key {api_key} invalid" if provider == "ocr": raise RuntimeError("boom SECRET-OCR") return True, "ok" @@ -874,29 +852,30 @@ def test_invalid_primary_credential_blocks_and_redacts_message(temp_trace_env): assert result["verdict"] == "blocked" assert "SECRET" not in repr(result) - google, openai, ocr = result["credentials"] - assert google["valid"] is False and "***" in google["message"] - assert openai["valid"] is True + openai, ocr = result["credentials"] + assert openai["valid"] is False and "***" in openai["message"] assert ocr["valid"] is False and ocr["message"].startswith("verification raised RuntimeError") steps = result["next_steps"] - required = next(s for s in steps if s.startswith("[REQUIRED] Gemini API key (google)")) + required = next( + s for s in steps if s.startswith("[REQUIRED] OpenAI Responses API key (openai)") + ) assert "failed live verification" in required assert steps[steps.index(required) + 1].startswith(" Ask the user to add a provider key") assert any("/home/u/.env" in s for s in steps) assert any(s.startswith("[OPTIONAL] Vision OCR API key (ocr)") for s in steps) assert steps[-1].startswith("After changing the env file") - assert "Gemini key verification" in result["summary"] + assert "OpenAI Responses key verification" in result["summary"] def test_invalid_secondary_credential_only_degrades(temp_trace_env): async def _validate(provider, api_key, timeout=12.0): - return (provider != "openai", "ok" if provider != "openai" else "401 unauthorized") + return (provider != "ocr", "ok" if provider != "ocr" else "401 unauthorized") result = _run( _healthy_probes(), validate=AsyncMock(side_effect=_validate), verify_credentials=True ) assert result["verdict"] == "degraded" - assert any(s.startswith("[OPTIONAL] ChatGPT API key (openai)") for s in result["next_steps"]) + assert any(s.startswith("[OPTIONAL] Vision OCR API key (ocr)") for s in result["next_steps"]) # --------------------------------------------------------------------------- # diff --git a/tests/unit/memory/test_history_chunking.py b/tests/unit/memory/test_history_chunking.py index f24c612..0ba7175 100644 --- a/tests/unit/memory/test_history_chunking.py +++ b/tests/unit/memory/test_history_chunking.py @@ -1005,7 +1005,7 @@ async def test_capsule_outage_without_fallback_exhausts_to_failed(): assert service.get_summary("chunk:1-2") is None -def test_capsule_fallback_model_resolution_google_only_and_not_primary(): +def test_capsule_fallback_model_resolution_openai_only_and_not_primary(): mgr = HistoryChunkManager( capsule_service=StubCapsuleService(), chunking_config=SimpleNamespace( @@ -1024,13 +1024,13 @@ def test_capsule_fallback_model_resolution_google_only_and_not_primary(): ) assert ( - mgr._resolve_capsule_fallback_model(ctx_with("google", "gemini-3.6-flash")) + mgr._resolve_capsule_fallback_model(ctx_with("openai", "gemini-3.6-flash")) == "gemini-3.6-flash" ) - # Non-google fallbacks cannot ride the raw google model path. - assert mgr._resolve_capsule_fallback_model(ctx_with("openai", "gpt-4o-mini")) is None + # Non-Responses providers are rejected. + assert mgr._resolve_capsule_fallback_model(ctx_with("google", "gpt-4o-mini")) is None # A fallback identical to the primary adds nothing. - assert mgr._resolve_capsule_fallback_model(ctx_with("google", "gemini-3.7-flash")) is None + assert mgr._resolve_capsule_fallback_model(ctx_with("openai", "gemini-3.7-flash")) is None @pytest.mark.asyncio diff --git a/tests/unit/test_cli.py b/tests/unit/test_cli.py index 11e9077..e3163e1 100644 --- a/tests/unit/test_cli.py +++ b/tests/unit/test_cli.py @@ -728,7 +728,7 @@ def _all_pass_probes(): _probe("toolchain", blocker=False), _probe("android_adb", metadata={"installed": True, "adb_keys": {"is_corrupted": False}}), _probe( - "gemini_api_key", + "openai_api_key", summary="Active (Gemini)", description="Gemini credential is active (sk-RAW...cdef).", metadata={ @@ -815,7 +815,7 @@ def test_cli_doctor_all_pass_renders_table_in_fix_order(monkeypatch): "Title python_runtime", "Title system_config", "Title integration_host", - "Title gemini_api_key", + "Title openai_api_key", "Title android_adb", "Title toolchain", "Title vision_ocr_key", @@ -917,7 +917,7 @@ def test_cli_doctor_json_shape_and_ready_verdict(monkeypatch): "python_runtime", "system_config", "integration_host", - "gemini_api_key", + "openai_api_key", "android_adb", "toolchain", "vision_ocr_key", @@ -935,10 +935,10 @@ def test_cli_doctor_json_blocked_verdict_and_exit_code(monkeypatch): """A blocker that is not PASS makes the verdict 'blocked' and the exit code 1.""" import json - probes = [p for p in _all_pass_probes() if p.id != "gemini_api_key"] + probes = [p for p in _all_pass_probes() if p.id != "openai_api_key"] probes.append( _probe( - "gemini_api_key", + "openai_api_key", status="fail", summary="Key Missing", description="No LLM credential found.", @@ -954,7 +954,7 @@ def test_cli_doctor_json_blocked_verdict_and_exit_code(monkeypatch): assert result.exit_code == 1, result.output doc = json.loads(result.output) assert doc["verdict"] == "blocked" - key_check = next(c for c in doc["checks"] if c["id"] == "gemini_api_key") + key_check = next(c for c in doc["checks"] if c["id"] == "openai_api_key") assert key_check["status"] == "fail" assert key_check["required"] is True assert key_check["fix"] == [ diff --git a/tests/unit/test_config_package.py b/tests/unit/test_config_package.py index 5b8c56a..d9457b1 100644 --- a/tests/unit/test_config_package.py +++ b/tests/unit/test_config_package.py @@ -93,25 +93,23 @@ def test_settings_and_api_key_fallbacks(monkeypatch): OCR_API_KEY=SecretStr("ocr_key_789"), ) # Automatic fallback should populate GOOGLE_API_KEY from GEMINI_API_KEY - assert custom_settings.GOOGLE_API_KEY is not None - assert custom_settings.GOOGLE_API_KEY.get_secret_value() == "gemini_key_123" assert custom_settings.get_api_key("ocr").get_secret_value() == "ocr_key_789" - assert custom_settings.get_api_key("google").get_secret_value() == "gemini_key_123" - assert custom_settings.get_api_key("gemini").get_secret_value() == "gemini_key_123" + assert custom_settings.get_api_key("google") is None + assert custom_settings.get_api_key("gemini") is None assert custom_settings.get_api_key("openai").get_secret_value() == "openai_key_456" assert custom_settings.get_api_key("nonexistent") is None # Test dynamic set_api_key - custom_settings.set_api_key("xai", "xai_test_key", persist_to_env=False) - assert custom_settings.get_api_key("xai").get_secret_value() == "xai_test_key" + custom_settings.set_api_key("openai", "new_test_key", persist_to_env=False) + assert custom_settings.get_api_key("openai").get_secret_value() == "new_test_key" def test_placeholder_api_key_filtering(monkeypatch): """Test that default template placeholders are filtered out and treated as unconfigured.""" from artemis.config.settings import is_placeholder_key - assert is_placeholder_key("your_gemini_api_key_here") is True + assert is_placeholder_key("your_openai_api_key_here") is True assert is_placeholder_key("your_google_cloud_vision_api_key_here") is True assert is_placeholder_key("your_openai_api_key_here") is True assert is_placeholder_key("your_custom_key_here") is True @@ -138,7 +136,7 @@ def test_placeholder_api_key_filtering(monkeypatch): placeholder_settings = Settings( _env_file=None, - GEMINI_API_KEY=SecretStr("your_gemini_api_key_here"), + GEMINI_API_KEY=SecretStr("your_openai_api_key_here"), OPENAI_API_KEY=SecretStr("your_openai_api_key_here"), OCR_API_KEY=SecretStr("your_google_cloud_vision_api_key_here"), ) diff --git a/tests/unit/test_credentials_validator.py b/tests/unit/test_credentials_validator.py index 8ae63d8..4258988 100644 --- a/tests/unit/test_credentials_validator.py +++ b/tests/unit/test_credentials_validator.py @@ -34,38 +34,42 @@ def test_extract_error_message(): @pytest.mark.asyncio async def test_validate_empty_and_placeholder(): - is_valid, msg = await validate_api_key("google", "") + is_valid, msg = await validate_api_key("openai", "") assert not is_valid assert "empty" in msg.lower() - is_valid, msg = await validate_api_key("google", "API_KEY") + is_valid, msg = await validate_api_key("openai", "API_KEY") assert not is_valid assert "placeholder" in msg.lower() @pytest.mark.asyncio -async def test_validate_gemini_success(): - with patch("httpx.AsyncClient.get", new_callable=AsyncMock) as mock_get: +async def test_validate_responses_success(): + with patch("httpx.AsyncClient.post", new_callable=AsyncMock) as mock_get: mock_resp = MagicMock() mock_resp.status_code = 200 + mock_resp.json.return_value = {"output": [{"type": "message"}]} mock_get.return_value = mock_resp - is_valid, msg = await validate_api_key("google", "valid_key_12345") + is_valid, msg = await validate_api_key("openai", "valid_key_12345") assert is_valid - assert "verified successfully" in msg + assert "验证成功" in msg + assert mock_get.call_args.args[0].endswith("/responses") + assert mock_get.call_args.kwargs["json"]["store"] is False @pytest.mark.asyncio -async def test_validate_gemini_failure(): - with patch("httpx.AsyncClient.get", new_callable=AsyncMock) as mock_get: +async def test_validate_responses_failure(): + with patch("httpx.AsyncClient.post", new_callable=AsyncMock) as mock_get: mock_resp = MagicMock() mock_resp.status_code = 400 mock_resp.json.return_value = {"error": {"message": "API key not valid."}} mock_get.return_value = mock_resp - is_valid, msg = await validate_api_key("google", "bad_key_12345") + is_valid, msg = await validate_api_key("openai", "bad_key_12345") assert not is_valid - assert "API key not valid" in msg + assert "HTTP 400" in msg + assert "bad_key" not in msg @pytest.mark.asyncio diff --git a/tests/unit/test_download_mirrors.py b/tests/unit/test_download_mirrors.py new file mode 100644 index 0000000..31a3a93 --- /dev/null +++ b/tests/unit/test_download_mirrors.py @@ -0,0 +1,160 @@ +"""Check download presets and install locked packages from an isolated local index.""" + +import hashlib +import json +import os +from pathlib import Path +import shutil +import subprocess +import sys +import zipfile + +import pytest + +from tests.unit.test_windows_bootstrap import run_bootstrap + +ROOT = Path(__file__).resolve().parents[2] +pytestmark = pytest.mark.skipif( + sys.platform != "win32" or not shutil.which("uv"), reason="Windows and uv required" +) + + +def powershell(tmp_path, script, **env): + path = tmp_path / "test.ps1" + path.write_text( + "$ErrorActionPreference = 'Stop'\n. $env:DOWNLOAD_SCRIPT\n" + script, encoding="ascii" + ) + clean_env = { + key: value + for key, value in os.environ.items() + if not key.upper().startswith(("UV_", "NPM_CONFIG_")) + } + return subprocess.run( + ["powershell.exe", "-NoProfile", "-ExecutionPolicy", "Bypass", "-File", str(path)], + env={ + **clean_env, + "DOWNLOAD_SCRIPT": str(ROOT / "scripts/download_config.ps1"), + "TEST_ROOT": str(tmp_path), + **env, + }, + capture_output=True, + text=True, + timeout=45, + ) + + +def test_presets_overrides_and_process_environment(tmp_path): + (tmp_path / "config").mkdir() + config = json.loads((ROOT / "config/downloads.json").read_text()) + config["mode"] = "China" + config["overrides"]["node_mirror"] = "https://intranet.example/node" + (tmp_path / "config/downloads.json").write_text(json.dumps(config)) + result = powershell( + tmp_path, + """ +Initialize-ArtemisDownloads -ProjectRoot $env:TEST_ROOT +if ($ArtemisDownloads.mode -ne 'China') { throw 'Preset not selected' } +if ($ArtemisDownloads.node_mirror -ne 'https://intranet.example/node') { throw 'Override ignored' } +if ($ArtemisDownloads.python_index -ne 'https://intranet.example/simple') { throw 'Environment ignored' } +if ($env:npm_config_registry -ne 'https://registry.npmmirror.com') { throw 'npm mirror missing' } +if ($env:UV_HTTP_TIMEOUT -ne '180') { throw 'Timeout missing' } +Remove-Item Env:npm_config_registry +Remove-Item Env:UV_PYTHON_INSTALL_MIRROR +Initialize-ArtemisDownloads -ProjectRoot $env:TEST_ROOT -Mode Official +if ($ArtemisDownloads.mode -ne 'Official') { throw 'CLI mode ignored' } +if ($env:npm_config_registry) { throw 'Official mode selected a China registry' } +""", + UV_DEFAULT_INDEX="https://intranet.example/simple", + ) + assert result.returncode == 0, result.stdout + result.stderr + + +@pytest.mark.parametrize("corrupt", [False, True]) +def test_uv_mirror_bootstrap_verifies_wheel_without_python(tmp_path, corrupt): + with zipfile.ZipFile(tmp_path / "fixture.zip", "w") as wheel: + wheel.writestr("uv-1.2.3.data/scripts/uv.exe", b"standalone fixture") + digest = hashlib.sha256((tmp_path / "fixture.zip").read_bytes()).hexdigest() + if corrupt: + digest = "0" * 64 + (tmp_path / "index.html").write_text( + f'uv' + ) + result = powershell( + tmp_path, + """ +function Invoke-DownloadFile { + param($Uri, $OutFile) + if ($Uri -eq 'https://mirror.example/simple/uv/') { + Copy-Item -LiteralPath (Join-Path $env:TEST_ROOT 'index.html') -Destination $OutFile + } elseif ($Uri -eq 'https://mirror.example/packages/uv-1.2.3-py3-none-win_amd64.whl') { + Copy-Item -LiteralPath (Join-Path $env:TEST_ROOT 'fixture.zip') -Destination $OutFile + } else { throw "Unexpected URL: $Uri" } + return $true +} +Install-ArtemisUvFromIndex -IndexUrl 'https://mirror.example/simple' -InstallDir (Join-Path $env:TEST_ROOT 'bin') +""", + PROCESSOR_ARCHITECTURE="AMD64", + PROCESSOR_ARCHITEW6432="AMD64", + ) + if corrupt: + assert result.returncode != 0 + assert "SHA256 verification" in result.stderr + assert not (tmp_path / "bin/uv.exe").exists() + else: + assert result.returncode == 0, result.stdout + result.stderr + assert (tmp_path / "bin/uv.exe").read_bytes() == b"standalone fixture" + + +def test_mirror_installs_locked_version_and_reuses_it_without_changing_lock(tmp_path): + project = tmp_path / "project" + project.mkdir() + package_dir = tmp_path / "simple/mirror-fixture" + package_dir.mkdir(parents=True) + wheel = package_dir / "mirror_fixture-1.0.0-py3-none-any.whl" + with zipfile.ZipFile(wheel, "w") as archive: + archive.writestr("mirror_fixture.py", 'VERSION = "1.0.0"\n') + archive.writestr( + "mirror_fixture-1.0.0.dist-info/METADATA", + "Metadata-Version: 2.1\nName: mirror-fixture\nVersion: 1.0.0\n", + ) + archive.writestr( + "mirror_fixture-1.0.0.dist-info/WHEEL", + "Wheel-Version: 1.0\nRoot-Is-Purelib: true\nTag: py3-none-any\n", + ) + archive.writestr("mirror_fixture-1.0.0.dist-info/RECORD", "") + digest = hashlib.sha256(wheel.read_bytes()).hexdigest() + (package_dir / "index.html").write_text( + f'{wheel.name}' + ) + (project / "pyproject.toml").write_text( + '[project]\nname="bootstrap-fixture"\nversion="0.1.0"\n' + 'requires-python=">=3.12"\ndependencies=["mirror-fixture==1.0.0"]\n' + ) + for module in ("artemis", "uvicorn", "fastapi", "langchain_openai"): + (project / f"{module}.py").write_text("") + lock = f"""version = 1 +revision = 3 +requires-python = ">=3.12" +[[package]] +name = "bootstrap-fixture" +version = "0.1.0" +source = {{ virtual = "." }} +dependencies = [{{ name = "mirror-fixture" }}] +[package.metadata] +requires-dist = [{{ name = "mirror-fixture", specifier = "==1.0.0" }}] +[[package]] +name = "mirror-fixture" +version = "1.0.0" +source = {{ registry = "https://pypi.org/simple" }} +wheels = [{{ url = "https://unreachable.invalid/{wheel.name}", hash = "sha256:{digest}", size = {wheel.stat().st_size} }}] +""" + (project / "uv.lock").write_text(lock) + index = (tmp_path / "simple").as_uri() + first = run_bootstrap(project, mirror_index=index) + assert first.returncode == 0, first.stdout + first.stderr + assert (project / ".venv/Lib/site-packages/mirror_fixture.py").exists() + assert (project / "uv.lock").read_text() == lock + second = run_bootstrap(project, mirror_index=index) + assert second.returncode == 0, second.stdout + second.stderr + assert "dependencies are already ready" in second.stdout + assert (project / "uv.lock").read_text() == lock diff --git a/tests/unit/test_gemini_role.py b/tests/unit/test_gemini_role.py deleted file mode 100644 index b045db8..0000000 --- a/tests/unit/test_gemini_role.py +++ /dev/null @@ -1,79 +0,0 @@ -# Copyright 2026 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from google import genai -from google.genai import types -from google.genai.errors import APIError -import pytest - -pytestmark = pytest.mark.skip( - reason="Exploratory live API verification test for Gemini SDK role support" -) - - -@pytest.fixture -def client(): - """Initializes the Gemini client. Requires GEMINI_API_KEY in environment.""" - import os - from artemis.config.settings import is_placeholder_key - - key = os.environ.get("GEMINI_API_KEY") or os.environ.get("GOOGLE_API_KEY") - if not key or is_placeholder_key(key): - pytest.skip( - "Valid GEMINI_API_KEY / GOOGLE_API_KEY not configured for live Gemini role tests" - ) - try: - return genai.Client() - except Exception as e: - pytest.skip(f"Could not initialize genai.Client: {e}") - - -def test_gemini_role_tool_fails(client): - """Confirm that using role='tool' results in a 400 APIError from Gemini.""" - contents = [ - types.Content( - role="tool", - parts=[types.Part.from_text(text="This is a test payload for tool execution.")], - ) - ] - - with pytest.raises(APIError) as exc_info: - client.models.generate_content( - model="gemini-3.7-flash", - contents=contents, - ) - - # Assert it failed specifically due to the invalid role string - error_msg = str(exc_info.value) - assert "Invalid role string" in error_msg or "400" in error_msg - - -def test_gemini_role_user_succeeds(client): - """Confirm that using role='user' (which is the correct fix) succeeds.""" - contents = [ - types.Content( - role="user", - parts=[ - types.Part.from_text(text="Acknowledge this message with 'ok' and nothing else.") - ], - ) - ] - - # This should not raise any exceptions - response = client.models.generate_content( - model="gemini-3.7-flash", - contents=contents, - ) - - assert response.text is not None diff --git a/tests/unit/test_google_provider.py b/tests/unit/test_google_provider.py deleted file mode 100644 index f0f7066..0000000 --- a/tests/unit/test_google_provider.py +++ /dev/null @@ -1,146 +0,0 @@ -# Copyright 2026 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -"""Provider identity and Gemini capability table.""" - -from artemis.llm.google import ( - gemini_version, - is_agentic_video_auto_eligible, - is_gemini_model, - is_google_chat_model, - is_google_family_provider, - is_google_provider, - resolve_video_processing, - strip_provider_prefix, - supports_agentic_video, - supports_thinking_level, -) -from artemis.llm.router import ModelProvider -import pytest - - -@pytest.mark.parametrize( - "value, google, family", - [ - ("google", True, True), - ("Gemini", True, True), - (ModelProvider.GOOGLE, True, True), - (ModelProvider.GEMINI, True, True), - ("vertexai", False, True), - ("vertex-ai", False, True), - (ModelProvider.VERTEX_AI, False, True), - ("openai", False, False), - ("anthropic", False, False), - (None, False, False), - ("", False, False), - ], -) -def test_provider_identity_tiers(value, google, family): - assert is_google_provider(value) is google - assert is_google_family_provider(value) is family - - -def test_google_chat_model_is_detected_by_class_name(): - class ChatGoogleGenerativeAI: # noqa: N801 - mirrors the real class name - pass - - class ChatVertexAI: - pass - - class ChatOpenAI: - pass - - assert is_google_chat_model(ChatGoogleGenerativeAI()) is True - assert is_google_chat_model(ChatVertexAI()) is True - assert is_google_chat_model(ChatOpenAI()) is False - assert is_google_chat_model(None) is False - - -def test_model_name_helpers(): - assert strip_provider_prefix("google/gemini-3.8-flash") == "gemini-3.8-flash" - assert strip_provider_prefix("gemini-3.8-flash") == "gemini-3.8-flash" - assert strip_provider_prefix(None) == "" - assert is_gemini_model("openrouter/google/gemini-3.7-flash") is True - assert is_gemini_model("claude-sonnet-5") is False - assert gemini_version("gemini-3.8-flash") == (3, 8) - assert gemini_version("gemini-3.5-flash-lite-preview") == (3, 5) - # Variants still report their family version (thinking-level gate). - assert gemini_version("gemini-3.8-flash-image") == (3, 8) - assert gemini_version("gemini-2.5-flash-tts") == (2, 5) - assert gemini_version("gemini-robotics-er-2-preview") is None - - -@pytest.mark.parametrize( - "model, expected", - [ - ("gemini-3.8-flash", True), - ("gemini-3.5-flash-lite", True), - ("gemini-2.5-flash", False), - ("gemini-2.0-flash", False), - ("gemini-1.5-pro", False), - ("gemini-robotics-er-2-preview", True), - ("gpt-5", True), - ], -) -def test_supports_thinking_level(model, expected): - assert supports_thinking_level(model) is expected - - -@pytest.mark.parametrize( - "model, supported, auto", - [ - ("gemini-3.8-flash", True, True), - ("gemini-3.7-flash", True, True), - ("gemini-3.6-flash", True, True), - ("google/gemini-3.9-flash", True, True), - ("gemini-3.5-flash-lite", True, False), - ("gemini-3.5-flash", False, False), - ("gemini-3.8-pro", False, False), - ("gemini-2.5-flash", False, False), - ("gemini-robotics-er-2-preview", False, False), - ("claude-sonnet-5", False, False), - # Release suffixes stay in the base family. - ("models/gemini-3.7-flash-preview-09-2026", True, True), - ("gemini-3.8-flash-latest", True, True), - ("gemini-3.8-flash-001", True, True), - ("gemini-3.8-flash-exp", True, True), - ("gemini-3.5-flash-lite-preview", True, False), - # Variant models carry their own capabilities and never inherit. - ("gemini-3.8-flash-image", False, False), - ("gemini-3.8-flash-tts", False, False), - ("gemini-3.8-flash-live", False, False), - ("gemini-3.8-flash-native-audio", False, False), - ("gemini-3.8-flash-image-preview", False, False), - ("gemini-3.8-flash-8b", False, False), - ], -) -def test_agentic_video_capability(model, supported, auto): - assert supports_agentic_video(model) is supported - assert is_agentic_video_auto_eligible(model) is auto - - -def test_resolve_video_processing_honours_knob_and_capability(): - assert resolve_video_processing("auto", "gemini-3.8-flash") == "agentic" - assert resolve_video_processing("auto", "gemini-3.5-flash-lite") == "static" - assert resolve_video_processing("auto", "gemini-2.5-flash") == "static" - assert resolve_video_processing("agentic", "gemini-3.5-flash-lite") == "agentic" - assert resolve_video_processing("agentic", "gemini-2.5-flash") == "static" - assert resolve_video_processing("static", "gemini-3.8-flash") == "static" - # Explicit "agentic" is honoured on Flash-Lite but never on a variant. - assert resolve_video_processing("agentic", "gemini-3.8-flash-image") == "static" - assert resolve_video_processing("auto", "gemini-3.8-flash-tts") == "static" - # Unknown or non-string knobs behave like "auto". - assert resolve_video_processing(None, "gemini-3.8-flash") == "agentic" - assert resolve_video_processing(object(), "gemini-3.8-flash") == "agentic" - assert resolve_video_processing("bogus", "gemini-3.5-flash-lite") == "static" diff --git a/tests/unit/test_google_usage.py b/tests/unit/test_google_usage.py index d2a9320..96a73c2 100644 --- a/tests/unit/test_google_usage.py +++ b/tests/unit/test_google_usage.py @@ -16,7 +16,7 @@ from types import SimpleNamespace -from artemis.llm.google import normalize_usage, usage_from_message +from artemis.llm.usage import normalize_usage, usage_from_message from langchain_core.messages import AIMessage diff --git a/tests/unit/test_llm_grounding.py b/tests/unit/test_llm_grounding.py deleted file mode 100644 index c99b01d..0000000 --- a/tests/unit/test_llm_grounding.py +++ /dev/null @@ -1,164 +0,0 @@ -# Copyright 2026 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -"""Unit tests for ModelFactory instantiation and grounding tool wiring.""" - -from artemis.llm.router import ModelEndpoint, ModelFactory, ModelProvider - - -def test_model_factory_anthropic_instantiation(): - """Verify Anthropic Claude model instantiation with thinking budget.""" - anth_ep = ModelEndpoint( - provider=ModelProvider.ANTHROPIC, - model_name="claude-3-7-sonnet-20250219", - api_key="sk-ant-test-key", - reasoning_effort="high", - ) - model = ModelFactory.create_model(anth_ep) - assert model.model == "claude-3-7-sonnet-20250219" - assert getattr(model, "thinking", None) == {"type": "enabled", "budget_tokens": 32768} - - -def test_model_factory_openai_instantiation(): - """Verify OpenAI model instantiation with reasoning effort.""" - oai_ep = ModelEndpoint( - provider=ModelProvider.OPENAI, - model_name="o3-mini", - api_key="sk-test-key", - reasoning_effort="medium", - ) - model = ModelFactory.create_model(oai_ep) - assert model.model_name == "o3-mini" - assert getattr(model, "reasoning_effort", None) == "medium" - - -def test_robust_chat_model_wrapper_grounding_google(): - """Verify RobustChatModelWrapper auto-injects google_search and server-side tool config for Gemini.""" - from artemis.services.llm import RobustChatModelWrapper - from langchain_core.tools import tool - - @tool - def dummy_tool(query: str) -> str: - """A test tool.""" - return query - - class MockGeminiModel: - def __init__(self): - self.bound_tools = [] - self.bound_kwargs = {} - - def bind_tools(self, tools, *args, **kwargs): - self.bound_tools = tools - self.bound_kwargs = kwargs - return self - - # Case 1: enable_grounding=True automatically attaches google_search and tool_config - ep_google = ModelEndpoint( - provider=ModelProvider.GOOGLE, - model_name="gemini-2.5-flash", - enable_grounding=True, - ) - wrapper = RobustChatModelWrapper(MockGeminiModel(), endpoint=ep_google) - bound = wrapper.bind_tools([dummy_tool]) - - assert any(isinstance(t, dict) and "google_search" in t for t in bound.base_model.bound_tools) - assert bound.base_model.bound_kwargs.get("tool_config") == { - "include_server_side_tool_invocations": True - } - - # Case 2: Explicit google_search in tools automatically ensures tool_config - ep_google_no_ground = ModelEndpoint( - provider=ModelProvider.GOOGLE, - model_name="gemini-2.5-flash", - enable_grounding=False, - ) - wrapper_explicit = RobustChatModelWrapper(MockGeminiModel(), endpoint=ep_google_no_ground) - bound_explicit = wrapper_explicit.bind_tools([dummy_tool, {"google_search": {}}]) - - assert any( - isinstance(t, dict) and "google_search" in t for t in bound_explicit.base_model.bound_tools - ) - assert bound_explicit.base_model.bound_kwargs.get("tool_config") == { - "include_server_side_tool_invocations": True - } - - -def test_robust_chat_model_wrapper_grounding_non_google(): - """Verify RobustChatModelWrapper ignores grounding and strips google_search for non-Google providers.""" - from artemis.services.llm import RobustChatModelWrapper - from langchain_core.tools import tool - - @tool - def dummy_tool(query: str) -> str: - """A test tool.""" - return query - - class MockOpenAIModel: - def __init__(self): - self.bound_tools = [] - self.bound_kwargs = {} - - def bind_tools(self, tools, *args, **kwargs): - self.bound_tools = tools - self.bound_kwargs = kwargs - return self - - ep_openai = ModelEndpoint( - provider=ModelProvider.OPENAI, - model_name="gpt-4o", - enable_grounding=True, - ) - wrapper = RobustChatModelWrapper(MockOpenAIModel(), endpoint=ep_openai) - bound = wrapper.bind_tools([dummy_tool, {"google_search": {}}]) - - # Should ignore grounding and strip {"google_search": {}} - assert len(bound.base_model.bound_tools) == 1 - assert bound.base_model.bound_tools[0].name == "dummy_tool" - assert "tool_config" not in bound.base_model.bound_kwargs - - -def test_chat_google_generative_ai_process_tool_config_patch(): - """Verify patched ChatGoogleGenerativeAI preserves include_server_side_tool_invocations even with tool_choice.""" - from artemis.llm.router import ModelFactory - from langchain_google_genai import ChatGoogleGenerativeAI - from langchain_core.tools import tool - - @tool - def dummy_tool(query: str) -> str: - """A test tool.""" - return query - - # Trigger patching via Google model creation - ep = ModelEndpoint(provider=ModelProvider.GOOGLE, model_name="gemini-2.5-flash", api_key="fake") - model = ModelFactory.create_model(ep) - assert isinstance(model, ChatGoogleGenerativeAI) - - formatted_tools = model._format_tools([dummy_tool, {"google_search": {}}], None) - - # 1. With tool_choice="auto" - config_auto = model._process_tool_config("auto", None, formatted_tools) - assert config_auto is not None - assert config_auto.include_server_side_tool_invocations is True - - # 2. With tool_choice="any" - config_any = model._process_tool_config("any", None, formatted_tools) - assert config_any is not None - assert config_any.include_server_side_tool_invocations is True - - # 3. With explicit tool_config - config_explicit = model._process_tool_config( - None, {"include_server_side_tool_invocations": True}, formatted_tools - ) - assert config_explicit is not None - assert config_explicit.include_server_side_tool_invocations is True diff --git a/tests/unit/test_llm_pause.py b/tests/unit/test_llm_pause.py index 2ccd41f..cabc998 100644 --- a/tests/unit/test_llm_pause.py +++ b/tests/unit/test_llm_pause.py @@ -72,83 +72,6 @@ def test_pause_error_is_persisted_and_published(monkeypatch, tmp_path): assert isinstance(payload["timestamp"], float) -def test_provider_sdk_retry_is_persisted_and_published(monkeypatch): - engine = _RecordingEngine() - monkeypatch.setattr(llm, "_CURRENT_DATA_ENGINE", engine) - record = logging.LogRecord( - name="google_genai._api_client", - level=logging.INFO, - pathname=__file__, - lineno=1, - msg=( - "Retrying google.genai request in 1.18 seconds as it raised " - "ServerError: 503 UNAVAILABLE: high demand" - ), - args=(), - exc_info=None, - ) - - request_token = llm._ACTIVE_LLM_REQUEST.set( - { - "request_id": "request-1", - "provider": "google", - "started_at": 100.0, - "retries": [], - } - ) - try: - llm._ProviderRetryTelemetryHandler().emit(record) - finally: - llm._ACTIVE_LLM_REQUEST.reset(request_token) - - assert engine.trace_kwargs["type"] == "llm_call" - assert engine.trace_kwargs["name"] == "llm_retry" - assert engine.trace_kwargs["status"] == "retrying" - assert engine.trace_kwargs["payload"] == { - "error": "ServerError: 503 UNAVAILABLE: high demand", - "delay": 1.18, - "provider": "google", - "source": "provider_sdk", - "recoverable": True, - "request_id": "request-1", - "scheduled_at": engine.trace_kwargs["payload"]["scheduled_at"], - } - event_type, payload = engine.published - assert event_type == "llm_retrying" - assert payload["trace_id"] == "trace-1" - assert payload["delay"] == 1.18 - assert payload["error"].startswith("ServerError: 503") - - -def test_provider_sdk_retry_is_hidden_for_non_gemini_request(monkeypatch): - engine = _RecordingEngine() - monkeypatch.setattr(llm, "_CURRENT_DATA_ENGINE", engine) - record = logging.LogRecord( - name="google_genai._api_client", - level=logging.INFO, - pathname=__file__, - lineno=1, - msg="Retrying request in 2 seconds as it raised 503 UNAVAILABLE", - args=(), - exc_info=None, - ) - request_token = llm._ACTIVE_LLM_REQUEST.set( - { - "request_id": "request-openai", - "provider": "openai", - "started_at": 100.0, - "retries": [], - } - ) - try: - llm._ProviderRetryTelemetryHandler().emit(record) - finally: - llm._ACTIVE_LLM_REQUEST.reset(request_token) - - assert engine.trace_kwargs is None - assert engine.published is None - - def test_terminal_failure_aggregates_observed_retries_and_total_wait(monkeypatch, tmp_path): engine = _RecordingEngine() monkeypatch.setattr(llm, "_CURRENT_DATA_ENGINE", engine) @@ -158,7 +81,7 @@ def test_terminal_failure_aggregates_observed_retries_and_total_wait(monkeypatch { "error": "503 high demand", "delay": 10.0, - "provider": "google", + "provider": "openai", "source": "provider_sdk", "request_id": "request-2", "scheduled_at": 101.0, @@ -168,7 +91,7 @@ def test_terminal_failure_aggregates_observed_retries_and_total_wait(monkeypatch request_token = llm._ACTIVE_LLM_REQUEST.set( { "request_id": "request-2", - "provider": "google", + "provider": "openai", "started_at": 100.0, "retries": retries, } @@ -180,6 +103,6 @@ def test_terminal_failure_aggregates_observed_retries_and_total_wait(monkeypatch payload = engine.trace_kwargs["payload"] assert payload["request_id"] == "request-2" - assert payload["provider"] == "google" + assert payload["provider"] == "openai" assert payload["waited_seconds"] == 20.0 assert payload["retries"] == retries diff --git a/tests/unit/test_openai_responses.py b/tests/unit/test_openai_responses.py new file mode 100644 index 0000000..13fa55a --- /dev/null +++ b/tests/unit/test_openai_responses.py @@ -0,0 +1,215 @@ +"""Transport-level checks: every model call must use /responses.""" + +import json +from unittest.mock import MagicMock + +import httpx +import pytest +from langchain_core.messages import HumanMessage, ToolMessage +from pydantic import BaseModel, SecretStr, ValidationError + +from artemis.config.settings import settings +from artemis.llm.router import ModelEndpoint, ModelFactory, ModelProvider +from artemis.services.llm import RobustChatModelWrapper + + +def response_body(output): + return { + "id": "resp_test", + "object": "response", + "created_at": 1, + "status": "completed", + "model": "test-model", + "output": output, + "usage": {"input_tokens": 10, "output_tokens": 3, "total_tokens": 13}, + } + + +def text_output(text): + return [ + { + "id": "msg_test", + "type": "message", + "role": "assistant", + "status": "completed", + "content": [{"type": "output_text", "text": text, "annotations": []}], + } + ] + + +@pytest.fixture +def transport_model(monkeypatch): + import langchain_openai + + original = langchain_openai.ChatOpenAI + requests = [] + outputs = [] + + def handle(request): + requests.append(request) + return httpx.Response( + 200, json=response_body(outputs.pop(0) if outputs else text_output("OK")) + ) + + client = httpx.AsyncClient(transport=httpx.MockTransport(handle)) + monkeypatch.setattr( + langchain_openai, + "ChatOpenAI", + lambda **kwargs: original(**kwargs, http_async_client=client), + ) + monkeypatch.setattr(settings, "OPENAI_API_KEY", SecretStr("test-secret")) + monkeypatch.setattr(settings, "OPENAI_BASE_URL", "https://responses.example/v1") + monkeypatch.delenv("ARTEMIS_FAKE_LLM", raising=False) + model = ModelFactory.create_model(ModelEndpoint(model_name="test-model", timeout_seconds=23)) + return model, requests, outputs + + +@pytest.mark.asyncio +async def test_text_and_image_use_responses_transport(transport_model): + model, requests, _ = transport_model + result = await model.ainvoke( + [ + HumanMessage( + content=[ + {"type": "text", "text": "Describe"}, + {"type": "image_url", "image_url": {"url": "data:image/png;base64,AA=="}}, + ] + ) + ] + ) + assert requests[0].url == "https://responses.example/v1/responses" + payload = json.loads(requests[0].content) + assert payload["store"] is False + assert payload["input"][0]["content"][1]["type"] == "input_image" + assert "messages" not in payload + assert result.usage_metadata["total_tokens"] == 13 + + +@pytest.mark.asyncio +async def test_function_call_roundtrip_uses_call_id(transport_model): + model, requests, outputs = transport_model + outputs.append( + [ + { + "type": "function_call", + "name": "lookup", + "call_id": "call_1", + "id": "fc_1", + "arguments": '{"query":"hello"}', + "status": "completed", + } + ] + ) + tool = { + "type": "function", + "function": { + "name": "lookup", + "description": "Look up a value", + "parameters": { + "type": "object", + "properties": {"query": {"type": "string"}}, + "required": ["query"], + }, + }, + } + messages = [HumanMessage(content="Look up hello")] + answer = await model.bind_tools([tool]).ainvoke(messages) + assert answer.tool_calls[0]["id"] == "call_1" + await model.ainvoke([*messages, answer, ToolMessage(content="found", tool_call_id="call_1")]) + payload = json.loads(requests[1].content) + assert any( + item.get("type") == "function_call_output" and item["call_id"] == "call_1" + for item in payload["input"] + ) + assert all(r.url.path == "/v1/responses" for r in requests) + + +@pytest.mark.asyncio +async def test_structured_output_uses_responses_text_format(transport_model): + class Verdict(BaseModel): + ok: bool + + model, requests, outputs = transport_model + outputs.append(text_output('{"ok":true}')) + result = await model.with_structured_output(Verdict, method="json_schema", strict=True).ainvoke( + "Check" + ) + assert result.ok + payload = json.loads(requests[0].content) + assert payload["text"]["format"]["type"] == "json_schema" + assert "response_format" not in payload + + +@pytest.mark.parametrize( + "provider", ["google", "gemini", "anthropic", "openrouter", "ollama", "custom"] +) +def test_other_provider_transports_are_rejected(provider): + with pytest.raises(ValueError, match="only OpenAI Responses"): + ModelProvider.from_string(provider) + with pytest.raises(ValidationError): + ModelEndpoint(provider=provider) + + +@pytest.mark.parametrize("max_retries", [0, 3]) +def test_client_settings_and_cache_credentials(monkeypatch, max_retries): + monkeypatch.setattr(settings, "OPENAI_API_KEY", SecretStr("first")) + monkeypatch.setattr(settings, "OPENAI_MAX_RETRIES", max_retries) + endpoint = ModelEndpoint(api_key="test", model_name="gpt-5-mini", reasoning_effort="low") + model = ModelFactory.create_model(endpoint) + assert model.use_responses_api is True + assert model.max_retries == max_retries + assert model.reasoning_effort == "low" + dynamic = ModelEndpoint() + key = dynamic.cache_key() + monkeypatch.setattr(settings, "OPENAI_API_KEY", SecretStr("second")) + assert dynamic.cache_key() != key + assert "first" not in repr(key) + + +def test_web_search_uses_openai_tool(): + base = MagicMock() + wrapper = RobustChatModelWrapper(base, endpoint=ModelEndpoint(enable_grounding=True)) + wrapper.bind_tools([]) + base.bind_tools.assert_called_once_with([{"type": "web_search"}]) + + +def test_video_text_fallback_extracts_responses_blocks(): + from langchain_core.messages import AIMessage + from artemis.agents.video_analyzer.universal_engine import _extract_submit_payload + + result = AIMessage( + content=[ + {"type": "reasoning", "summary": [], "id": "rs_1"}, + {"type": "text", "text": "已完成视频画面检查。", "annotations": []}, + ] + ) + summary, analysis, events = _extract_submit_payload(result) + assert summary == analysis == "已完成视频画面检查。" + assert events == [] + + +@pytest.mark.asyncio +async def test_wrapper_structured_output_uses_responses_function_call(transport_model): + class Verdict(BaseModel): + ok: bool + + model, requests, outputs = transport_model + outputs.append( + [ + { + "type": "function_call", + "name": "Verdict", + "call_id": "call_verdict", + "id": "fc_verdict", + "arguments": '{"ok":true}', + "status": "completed", + } + ] + ) + wrapper = RobustChatModelWrapper(model, endpoint=ModelEndpoint(model_name="test-model")) + result = await wrapper.with_structured_output(Verdict).ainvoke("Check") + assert result.ok is True + payload = json.loads(requests[0].content) + assert requests[0].url.path == "/v1/responses" + assert payload["tools"][0]["name"] == "Verdict" + assert payload.get("text", {}).get("format", {}).get("type") != "json_schema" diff --git a/tests/unit/test_planner.py b/tests/unit/test_planner.py index 7abd8f4..5dfcf52 100644 --- a/tests/unit/test_planner.py +++ b/tests/unit/test_planner.py @@ -73,7 +73,10 @@ def test_planner_validation_node_defaults_to_lightweight_judge(): assert node.model == safety_net.model assert node.provider == safety_net.provider assert node.temperature == 0.0 - assert "lite" in node.model + from artemis.config.settings import settings + + assert node.provider == "openai" + assert node.model == settings.OPENAI_MODEL if __name__ == "__main__": diff --git a/tests/unit/test_source_archive.py b/tests/unit/test_source_archive.py new file mode 100644 index 0000000..d8273f9 --- /dev/null +++ b/tests/unit/test_source_archive.py @@ -0,0 +1,35 @@ +import importlib.util +from pathlib import Path +import zipfile + + +def test_archive_keeps_source_and_excludes_local_builds_and_secrets(tmp_path): + script = Path(__file__).resolve().parents[2] / "scripts/package_source.py" + spec = importlib.util.spec_from_file_location("package_source", script) + module = importlib.util.module_from_spec(spec) + spec.loader.exec_module(module) + keep = ["start.bat", ".env.example", "uv.lock", "apps/showcase_ui/src/main.ts"] + omit = [ + ".env", + ".env.local", + ".venv/pyvenv.cfg", + "nested/node_modules/foo.js", + "apps/showcase_ui/dist/main.js", + "artemis/resources/showcase_ui/main.js", + "__pycache__/a.pyc", + "traces/data.db", + "helper.apk", + "debug.keystore", + ".git/config", + ] + for name in keep + omit: + target = tmp_path / name + target.parent.mkdir(parents=True, exist_ok=True) + target.write_text("fixture") + output = tmp_path / "artifacts/source.zip" + count, digest = module.package_source(tmp_path, output) + assert count == len(keep) + assert len(digest) == 64 + with zipfile.ZipFile(output) as archive: + assert archive.testzip() is None + assert set(archive.namelist()) == {f"artemis/{name}" for name in keep} diff --git a/tests/unit/test_windows_bootstrap.py b/tests/unit/test_windows_bootstrap.py new file mode 100644 index 0000000..bdd85fc --- /dev/null +++ b/tests/unit/test_windows_bootstrap.py @@ -0,0 +1,148 @@ +"""Exercise the Windows bootstrap in disposable projects without installing host tools.""" + +import os +from pathlib import Path +import shutil +import subprocess +import sys + +import pytest + +ROOT = Path(__file__).resolve().parents[2] +pytestmark = pytest.mark.skipif( + sys.platform != "win32" or not shutil.which("uv"), reason="Windows and uv required" +) + + +@pytest.fixture +def project(tmp_path): + # Import fixtures let the final smoke check run without downloading project dependencies. + path = tmp_path / "source with spaces!" + path.mkdir() + (path / "pyproject.toml").write_text( + '[project]\nname="bootstrap-fixture"\nversion="0.1.0"\nrequires-python=">=3.12"\ndependencies=[]\n' + ) + for name in ("artemis", "uvicorn", "fastapi", "langchain_openai"): + (path / f"{name}.py").write_text("") + subprocess.run(["uv", "lock", "--offline"], cwd=path, check=True, capture_output=True) + return path + + +def run_bootstrap( + project, *, missing_uv=False, installer_failure=False, sync_failure=False, mirror_index="" +): + script = project / "check.ps1" + script.write_text( + """ +$ErrorActionPreference = 'Continue' +$realUv = (Get-Command uv).Source +. $env:BOOTSTRAP_SCRIPT +. (Join-Path (Split-Path $env:BOOTSTRAP_SCRIPT -Parent) 'download_config.ps1') +if ($env:TEST_MIRROR) { $script:ArtemisDownloads = @{ python_index = $env:TEST_MIRROR } } +$script:uvInstalled = $env:SIMULATE_MISSING_UV -ne '1' +function Test-CommandExists { param($Command); return $script:uvInstalled } +function Update-EnvironmentPath {} +function Invoke-DownloadFile { + param($Uri, $OutFile, $TimeoutSec) + if ($Uri -ne 'https://astral.sh/uv/install.ps1') { throw 'Unexpected installer source' } + Set-Content -LiteralPath $OutFile -Value '# fixture installer' + return $true +} +function powershell.exe { + Write-Host 'INSTALLER_CALLED' + if ($env:SIMULATE_INSTALL_FAILURE -eq '1') { $global:LASTEXITCODE = 25; return } + $script:uvInstalled = $true + $global:LASTEXITCODE = 0 +} +function uv { + if ($env:SIMULATE_SYNC_FAILURE -eq '1' -and $args[0] -eq 'sync') { + $global:LASTEXITCODE = 9 + return + } + & $realUv @args +} +try { + $python = Initialize-ArtemisPython -ProjectRoot $PSScriptRoot + Write-Host "PYTHON_READY=$python" + exit 0 +} catch { Write-Host "EXPECTED_ERROR=$_"; exit 1 } +""", + encoding="ascii", + ) + env = dict(os.environ) + env.update( + BOOTSTRAP_SCRIPT=str(ROOT / "scripts/bootstrap_python.ps1"), + SIMULATE_MISSING_UV=str(int(missing_uv)), + SIMULATE_INSTALL_FAILURE=str(int(installer_failure)), + SIMULATE_SYNC_FAILURE=str(int(sync_failure)), + UV_OFFLINE="0" if mirror_index else "1", + TEST_MIRROR=mirror_index, + ) + return subprocess.run( + ["powershell.exe", "-NoProfile", "-ExecutionPolicy", "Bypass", "-File", str(script)], + env=env, + capture_output=True, + text=True, + timeout=60, + ) + + +def test_first_setup_and_repeat_reuse_environment(project): + first = run_bootstrap(project, missing_uv=True) + assert first.returncode == 0, first.stdout + first.stderr + assert "INSTALLER_CALLED" in first.stdout + assert "Creating .venv" in first.stdout + config = project / ".venv/pyvenv.cfg" + before = config.stat().st_mtime_ns + second = run_bootstrap(project) + assert second.returncode == 0, second.stdout + second.stderr + assert "INSTALLER_CALLED" not in second.stdout + assert "Reusing the existing" in second.stdout + assert "dependencies are already ready" in second.stdout + assert config.stat().st_mtime_ns == before + + +def test_installer_failure_stops_before_environment_creation(project): + result = run_bootstrap(project, missing_uv=True, installer_failure=True) + assert result.returncode == 1 + assert "uv installation failed" in result.stdout + assert not (project / ".venv").exists() + + +def test_dependency_failure_stops_before_launch(project): + result = run_bootstrap(project, sync_failure=True) + assert result.returncode == 1 + assert "Dependency installation failed" in result.stdout + assert "PYTHON_READY=" not in result.stdout + + +def test_incomplete_environment_is_preserved(project): + (project / ".venv").mkdir() + sentinel = project / ".venv/keep.txt" + sentinel.write_text("existing data") + result = run_bootstrap(project) + assert result.returncode == 1 + assert "incomplete" in result.stdout + assert sentinel.read_text() == "existing data" + + +@pytest.mark.parametrize("exit_code", [0, 7]) +def test_batch_preserves_exit_code_and_handles_space_and_exclamation_paths(tmp_path, exit_code): + root = tmp_path / "source with spaces!" + (root / "scripts").mkdir(parents=True) + shutil.copy2(ROOT / "start.bat", root / "start.bat") + (root / "scripts/start.ps1").write_text( + "param([switch]$SetupOnly)\n" + "if (-not $SetupOnly) { exit 19 }\n" + "if ((Get-Location).Path -ne (Split-Path $PSScriptRoot -Parent)) { exit 20 }\n" + f"exit {exit_code}\n", + encoding="ascii", + ) + result = subprocess.run( + ["cmd.exe", "/d", "/c", "call", str(root / "start.bat"), "-SetupOnly"], + cwd=tmp_path, + env={**os.environ, "ARTEMIS_NO_PAUSE": "1"}, + capture_output=True, + timeout=30, + ) + assert result.returncode == exit_code, result.stdout + result.stderr diff --git a/tests/unit/tools/history/test_declarations.py b/tests/unit/tools/history/test_declarations.py index 2844031..f660a82 100644 --- a/tests/unit/tools/history/test_declarations.py +++ b/tests/unit/tools/history/test_declarations.py @@ -55,9 +55,9 @@ def test_tool_declaration_mirrors_the_args_schema(tool): assert lc_tool.args_schema is tool.args_schema # And the GenAI export agrees on names and required fields. - genai = tool.to_genai_declaration() - assert set(genai.parameters.properties) == set(properties) - assert list(genai.parameters.required or []) == declaration.parameters["required"] + genai = tool.to_tool_declaration() + assert set(genai.parameters["properties"]) == set(properties) + assert list(genai.parameters.get("required") or []) == declaration.parameters["required"] def test_declared_types_and_enums(): diff --git a/tests/unit/tools/test_append_note_pure_tool.py b/tests/unit/tools/test_append_note_pure_tool.py index f29db07..2e3213e 100644 --- a/tests/unit/tools/test_append_note_pure_tool.py +++ b/tests/unit/tools/test_append_note_pure_tool.py @@ -47,10 +47,10 @@ def test_append_note_pure_tool_subclass(): assert append_note_pure.args_schema == AppendNoteArgs # GenAI FunctionDeclaration export - declaration = append_note_pure.to_genai_declaration() + declaration = append_note_pure.to_tool_declaration() assert declaration.name == "append_note_pure" - assert "key" in declaration.parameters.properties - assert "content" in declaration.parameters.properties + assert "key" in declaration.parameters["properties"] + assert "content" in declaration.parameters["properties"] @pytest.mark.asyncio diff --git a/tests/unit/tools/test_append_note_tool.py b/tests/unit/tools/test_append_note_tool.py index 775a251..7a78a6e 100644 --- a/tests/unit/tools/test_append_note_tool.py +++ b/tests/unit/tools/test_append_note_tool.py @@ -51,10 +51,10 @@ def test_append_note_tool_subclass(): assert append_note.args_schema == AppendNoteArgs # GenAI FunctionDeclaration export - declaration = append_note.to_genai_declaration() + declaration = append_note.to_tool_declaration() assert declaration.name == "append_note" - assert "key" in declaration.parameters.properties - assert "content" in declaration.parameters.properties + assert "key" in declaration.parameters["properties"] + assert "content" in declaration.parameters["properties"] # Wrapper check assert append_note_wrapper is not None diff --git a/tests/unit/tools/test_command_tool.py b/tests/unit/tools/test_command_tool.py index 99eafe4..8b769f2 100644 --- a/tests/unit/tools/test_command_tool.py +++ b/tests/unit/tools/test_command_tool.py @@ -436,9 +436,9 @@ def test_run_adb_command_tool_subclass(): assert run_adb_command.args_schema == RunAdbCommandArgs # GenAI FunctionDeclaration export - declaration = run_adb_command.to_genai_declaration() + declaration = run_adb_command.to_tool_declaration() assert declaration.name == "run_adb_command" - assert "CommandLine" in declaration.parameters.properties + assert "CommandLine" in declaration.parameters["properties"] @pytest.mark.asyncio @@ -479,9 +479,9 @@ def test_manage_task_tool_subclass(): assert manage_task.args_schema == ManageTaskArgs # GenAI FunctionDeclaration export - declaration = manage_task.to_genai_declaration() + declaration = manage_task.to_tool_declaration() assert declaration.name == "manage_task" - assert "Action" in declaration.parameters.properties + assert "Action" in declaration.parameters["properties"] @pytest.mark.asyncio @@ -541,10 +541,10 @@ def test_analyze_task_output_tool_subclass(): assert analyze_task_output.args_schema == AnalyzeTaskOutputArgs # GenAI FunctionDeclaration export - declaration = analyze_task_output.to_genai_declaration() + declaration = analyze_task_output.to_tool_declaration() assert declaration.name == "analyze_task_output" - assert "TaskId" in declaration.parameters.properties - assert "Query" in declaration.parameters.properties + assert "TaskId" in declaration.parameters["properties"] + assert "Query" in declaration.parameters["properties"] @pytest.mark.asyncio @@ -606,9 +606,9 @@ def test_run_short_adb_command_tool_subclass(): assert run_short_adb_command.args_schema == RunShortAdbCommandArgs # GenAI FunctionDeclaration export - declaration = run_short_adb_command.to_genai_declaration() + declaration = run_short_adb_command.to_tool_declaration() assert declaration.name == "run_short_adb_command" - assert "CommandLine" in declaration.parameters.properties + assert "CommandLine" in declaration.parameters["properties"] @pytest.mark.asyncio diff --git a/tests/unit/tools/test_committee_tool.py b/tests/unit/tools/test_committee_tool.py index e059f80..990db39 100644 --- a/tests/unit/tools/test_committee_tool.py +++ b/tests/unit/tools/test_committee_tool.py @@ -195,9 +195,9 @@ class TestCommitteeTool(unittest.IsolatedAsyncioTestCase): self.assertEqual(ask_committee.args_schema, AskCommitteeArgs) # GenAI FunctionDeclaration export - declaration = ask_committee.to_genai_declaration() + declaration = ask_committee.to_tool_declaration() self.assertEqual(declaration.name, "ask_committee") - self.assertIn("avatar_directive", declaration.parameters.properties) + self.assertIn("avatar_directive", declaration.parameters["properties"]) # Wrapper check self.assertIsNotNone(ask_committee_wrapper) diff --git a/tests/unit/tools/test_explorer_tool.py b/tests/unit/tools/test_explorer_tool.py index 5e363b3..8482b23 100644 --- a/tests/unit/tools/test_explorer_tool.py +++ b/tests/unit/tools/test_explorer_tool.py @@ -109,10 +109,10 @@ def test_tool_contract_is_tier_agnostic(): assert fields["context_feedback"].default == "" assert fields["context_feedback"].description == ASK_EXPLORER_CONTEXT_FEEDBACK_DESCRIPTION - declaration = ask_explorer.to_genai_declaration() + declaration = ask_explorer.to_tool_declaration() assert declaration.name == "ask_explorer" - assert set(declaration.parameters.properties) == {"query", "context_feedback"} - assert declaration.parameters.required == ["query"] + assert set(declaration.parameters["properties"]) == {"query", "context_feedback"} + assert declaration.parameters.get("required") == ["query"] @pytest.mark.parametrize("version", [None, "flash", "pro", "ultra"]) diff --git a/tests/unit/tools/test_image_processor_tool.py b/tests/unit/tools/test_image_processor_tool.py index 8bc200f..ec68432 100644 --- a/tests/unit/tools/test_image_processor_tool.py +++ b/tests/unit/tools/test_image_processor_tool.py @@ -88,7 +88,7 @@ def test_ask_image_processor_tool_subclass(): assert ask_image_processor.args_schema == AskVisionCoderArgs # GenAI FunctionDeclaration export - declaration = ask_image_processor.to_genai_declaration() + declaration = ask_image_processor.to_tool_declaration() assert declaration.name == "ask_image_processor" - assert "instruction" in declaration.parameters.properties - assert "target_image_id" in declaration.parameters.properties + assert "instruction" in declaration.parameters["properties"] + assert "target_image_id" in declaration.parameters["properties"] diff --git a/tests/unit/tools/test_launch_app_tool.py b/tests/unit/tools/test_launch_app_tool.py index 4438e39..f1949ba 100644 --- a/tests/unit/tools/test_launch_app_tool.py +++ b/tests/unit/tools/test_launch_app_tool.py @@ -61,9 +61,9 @@ def test_launch_app_tool_subclass(): assert launch_app.args_schema == LaunchAppArgs # GenAI FunctionDeclaration export - declaration = launch_app.to_genai_declaration() + declaration = launch_app.to_tool_declaration() assert declaration.name == "launch_app" - assert "app_name" in declaration.parameters.properties + assert "app_name" in declaration.parameters["properties"] # Wrapper check assert launch_app_wrapper is not None diff --git a/tests/unit/tools/test_list_notes_pure_tool.py b/tests/unit/tools/test_list_notes_pure_tool.py index 79d2555..c91a4dd 100644 --- a/tests/unit/tools/test_list_notes_pure_tool.py +++ b/tests/unit/tools/test_list_notes_pure_tool.py @@ -47,7 +47,7 @@ def test_list_notes_pure_tool_subclass(): assert list_notes_pure.args_schema == ListNotesArgs # GenAI FunctionDeclaration export - declaration = list_notes_pure.to_genai_declaration() + declaration = list_notes_pure.to_tool_declaration() assert declaration.name == "list_notes_pure" diff --git a/tests/unit/tools/test_list_notes_tool.py b/tests/unit/tools/test_list_notes_tool.py index 1a8ab6a..5499842 100644 --- a/tests/unit/tools/test_list_notes_tool.py +++ b/tests/unit/tools/test_list_notes_tool.py @@ -51,7 +51,7 @@ def test_list_notes_tool_subclass(): assert list_notes.args_schema == ListNotesArgs # GenAI FunctionDeclaration export - declaration = list_notes.to_genai_declaration() + declaration = list_notes.to_tool_declaration() assert declaration.name == "list_notes" # Wrapper check diff --git a/tests/unit/tools/test_log_tool.py b/tests/unit/tools/test_log_tool.py index 98896d8..d85db5e 100644 --- a/tests/unit/tools/test_log_tool.py +++ b/tests/unit/tools/test_log_tool.py @@ -101,9 +101,9 @@ def test_analyze_logs_tool_subclass(): assert analyze_logs.args_schema == AnalyzeLogsArgs # GenAI FunctionDeclaration export - declaration = analyze_logs.to_genai_declaration() + declaration = analyze_logs.to_tool_declaration() assert declaration.name == "analyze_logs" - assert "specific_query" in declaration.parameters.properties + assert "specific_query" in declaration.parameters["properties"] # Wrapper check assert analyze_logs_wrapper is not None diff --git a/tests/unit/tools/test_object_detection_tool.py b/tests/unit/tools/test_object_detection_tool.py index 57b6fa3..0d6a49c 100644 --- a/tests/unit/tools/test_object_detection_tool.py +++ b/tests/unit/tools/test_object_detection_tool.py @@ -66,14 +66,14 @@ def test_object_detection_tool_subclass(): assert operator_object_detection.args_schema == OperatorObjectDetectionArgs # GenAI FunctionDeclaration export - declaration = object_detection.to_genai_declaration() + declaration = object_detection.to_tool_declaration() assert declaration.name == "object_detection" - assert "image_path" in declaration.parameters.properties - assert "queries" in declaration.parameters.properties + assert "image_path" in declaration.parameters["properties"] + assert "queries" in declaration.parameters["properties"] - op_declaration = operator_object_detection.to_genai_declaration() + op_declaration = operator_object_detection.to_tool_declaration() assert op_declaration.name == "object_detection" - assert "queries" in op_declaration.parameters.properties + assert "queries" in op_declaration.parameters["properties"] # Wrappers assert object_detection_wrapper.tool_fn_getter == get_object_detector_tool diff --git a/tests/unit/tools/test_ocr_tool.py b/tests/unit/tools/test_ocr_tool.py index 720ab26..6e22271 100644 --- a/tests/unit/tools/test_ocr_tool.py +++ b/tests/unit/tools/test_ocr_tool.py @@ -77,7 +77,7 @@ def test_ocr_tool_subclass(): assert ocr_recognition.args_schema == OcrArgs # GenAI FunctionDeclaration export - declaration = ocr_recognition.to_genai_declaration() + declaration = ocr_recognition.to_tool_declaration() assert declaration.name == "ocr_recognition" # Wrapper check diff --git a/tests/unit/tools/test_read_hierarchy_tool.py b/tests/unit/tools/test_read_hierarchy_tool.py index 03e639e..750f98a 100644 --- a/tests/unit/tools/test_read_hierarchy_tool.py +++ b/tests/unit/tools/test_read_hierarchy_tool.py @@ -59,7 +59,7 @@ def test_get_ui_hierarchy_tool_subclass(): assert get_ui_hierarchy.args_schema == GetUiHierarchyArgs # GenAI FunctionDeclaration export - declaration = get_ui_hierarchy.to_genai_declaration() + declaration = get_ui_hierarchy.to_tool_declaration() assert declaration.name == "get_ui_hierarchy" # Wrapper check diff --git a/tests/unit/tools/test_read_logs_tool.py b/tests/unit/tools/test_read_logs_tool.py index b3ac417..fc2d265 100644 --- a/tests/unit/tools/test_read_logs_tool.py +++ b/tests/unit/tools/test_read_logs_tool.py @@ -46,11 +46,11 @@ def test_read_logs_tool_subclass(): assert read_logs.args_schema == ReadLogsArgs # GenAI FunctionDeclaration export - declaration = read_logs.to_genai_declaration() + declaration = read_logs.to_tool_declaration() assert declaration.name == "read_logs" - assert "lines" in declaration.parameters.properties - assert "since_time" in declaration.parameters.properties - assert "until_time" in declaration.parameters.properties + assert "lines" in declaration.parameters["properties"] + assert "since_time" in declaration.parameters["properties"] + assert "until_time" in declaration.parameters["properties"] @pytest.mark.asyncio diff --git a/tests/unit/tools/test_read_note_pure_tool.py b/tests/unit/tools/test_read_note_pure_tool.py index 590b381..4c4ef14 100644 --- a/tests/unit/tools/test_read_note_pure_tool.py +++ b/tests/unit/tools/test_read_note_pure_tool.py @@ -47,11 +47,11 @@ def test_read_note_pure_tool_subclass(): assert read_note_pure.args_schema == ReadNoteArgs # GenAI FunctionDeclaration export - declaration = read_note_pure.to_genai_declaration() + declaration = read_note_pure.to_tool_declaration() assert declaration.name == "read_note_pure" - assert "key" in declaration.parameters.properties - assert "start_line" in declaration.parameters.properties - assert "end_line" in declaration.parameters.properties + assert "key" in declaration.parameters["properties"] + assert "start_line" in declaration.parameters["properties"] + assert "end_line" in declaration.parameters["properties"] @pytest.mark.asyncio diff --git a/tests/unit/tools/test_read_note_tool.py b/tests/unit/tools/test_read_note_tool.py index 34bec04..062aed2 100644 --- a/tests/unit/tools/test_read_note_tool.py +++ b/tests/unit/tools/test_read_note_tool.py @@ -51,11 +51,11 @@ def test_read_note_tool_subclass(): assert read_note.args_schema == ReadNoteArgs # GenAI FunctionDeclaration export - declaration = read_note.to_genai_declaration() + declaration = read_note.to_tool_declaration() assert declaration.name == "read_note" - assert "key" in declaration.parameters.properties - assert "start_line" in declaration.parameters.properties - assert "end_line" in declaration.parameters.properties + assert "key" in declaration.parameters["properties"] + assert "start_line" in declaration.parameters["properties"] + assert "end_line" in declaration.parameters["properties"] # Wrapper check assert read_note_wrapper is not None diff --git a/tests/unit/tools/test_save_note_pure_tool.py b/tests/unit/tools/test_save_note_pure_tool.py index 51d6a91..6c55f52 100644 --- a/tests/unit/tools/test_save_note_pure_tool.py +++ b/tests/unit/tools/test_save_note_pure_tool.py @@ -47,10 +47,10 @@ def test_save_note_pure_tool_subclass(): assert save_note_pure.args_schema == SaveNoteArgs # GenAI FunctionDeclaration export - declaration = save_note_pure.to_genai_declaration() + declaration = save_note_pure.to_tool_declaration() assert declaration.name == "save_note_pure" - assert "key" in declaration.parameters.properties - assert "content" in declaration.parameters.properties + assert "key" in declaration.parameters["properties"] + assert "content" in declaration.parameters["properties"] @pytest.mark.asyncio diff --git a/tests/unit/tools/test_save_note_tool.py b/tests/unit/tools/test_save_note_tool.py index a20f068..273137d 100644 --- a/tests/unit/tools/test_save_note_tool.py +++ b/tests/unit/tools/test_save_note_tool.py @@ -51,10 +51,10 @@ def test_save_note_tool_subclass(): assert save_note.args_schema == SaveNoteArgs # GenAI FunctionDeclaration export - declaration = save_note.to_genai_declaration() + declaration = save_note.to_tool_declaration() assert declaration.name == "save_note" - assert "key" in declaration.parameters.properties - assert "content" in declaration.parameters.properties + assert "key" in declaration.parameters["properties"] + assert "content" in declaration.parameters["properties"] # Wrapper check assert save_note_wrapper is not None diff --git a/tests/unit/tools/test_search_logs.py b/tests/unit/tools/test_search_logs.py index 676376f..567a690 100644 --- a/tests/unit/tools/test_search_logs.py +++ b/tests/unit/tools/test_search_logs.py @@ -186,14 +186,14 @@ def test_search_logs_tool_subclass(): assert search_logs.args_schema == SearchLogsArgs # GenAI FunctionDeclaration export - declaration = search_logs.to_genai_declaration() + declaration = search_logs.to_tool_declaration() assert declaration.name == "search_logs" - assert "keyword" in declaration.parameters.properties - assert "is_regex" in declaration.parameters.properties - assert "lines" in declaration.parameters.properties - assert "since_time" in declaration.parameters.properties - assert "until_time" in declaration.parameters.properties - assert "context_lines" in declaration.parameters.properties + assert "keyword" in declaration.parameters["properties"] + assert "is_regex" in declaration.parameters["properties"] + assert "lines" in declaration.parameters["properties"] + assert "since_time" in declaration.parameters["properties"] + assert "until_time" in declaration.parameters["properties"] + assert "context_lines" in declaration.parameters["properties"] @pytest.mark.asyncio diff --git a/tests/unit/tools/test_update_note_pure_tool.py b/tests/unit/tools/test_update_note_pure_tool.py index 22eeace..0b3f10a 100644 --- a/tests/unit/tools/test_update_note_pure_tool.py +++ b/tests/unit/tools/test_update_note_pure_tool.py @@ -48,11 +48,11 @@ def test_update_note_pure_tool_subclass(): assert update_note_pure.args_schema == UpdateNoteArgs # GenAI FunctionDeclaration export - declaration = update_note_pure.to_genai_declaration() + declaration = update_note_pure.to_tool_declaration() assert declaration.name == "update_note_pure" - assert "key" in declaration.parameters.properties - assert "target" in declaration.parameters.properties - assert "replacement" in declaration.parameters.properties + assert "key" in declaration.parameters["properties"] + assert "target" in declaration.parameters["properties"] + assert "replacement" in declaration.parameters["properties"] @pytest.mark.asyncio diff --git a/tests/unit/tools/test_update_note_tool.py b/tests/unit/tools/test_update_note_tool.py index 5c0ed81..e3c69d2 100644 --- a/tests/unit/tools/test_update_note_tool.py +++ b/tests/unit/tools/test_update_note_tool.py @@ -52,11 +52,11 @@ def test_update_note_tool_subclass(): assert update_note.args_schema == UpdateNoteArgs # GenAI FunctionDeclaration export - declaration = update_note.to_genai_declaration() + declaration = update_note.to_tool_declaration() assert declaration.name == "update_note" - assert "key" in declaration.parameters.properties - assert "target" in declaration.parameters.properties - assert "replacement" in declaration.parameters.properties + assert "key" in declaration.parameters["properties"] + assert "target" in declaration.parameters["properties"] + assert "replacement" in declaration.parameters["properties"] # Wrapper check assert update_note_wrapper is not None diff --git a/tests/unit/tools/test_video_analyzer_pure_tool.py b/tests/unit/tools/test_video_analyzer_pure_tool.py index 597076d..5c6cbcd 100644 --- a/tests/unit/tools/test_video_analyzer_pure_tool.py +++ b/tests/unit/tools/test_video_analyzer_pure_tool.py @@ -44,10 +44,10 @@ def test_video_analyzer_pure_tool_subclass(): assert video_analyzer_pure.args_schema == VideoAnalyzerArgs # GenAI FunctionDeclaration export - declaration = video_analyzer_pure.to_genai_declaration() + declaration = video_analyzer_pure.to_tool_declaration() assert declaration.name == "video_analyzer_pure" - assert "time_description" in declaration.parameters.properties - assert "purpose" in declaration.parameters.properties + assert "time_description" in declaration.parameters["properties"] + assert "purpose" in declaration.parameters["properties"] @pytest.mark.asyncio diff --git a/tests/unit/tools/test_video_analyzer_tool.py b/tests/unit/tools/test_video_analyzer_tool.py index 121c702..0d9fa68 100644 --- a/tests/unit/tools/test_video_analyzer_tool.py +++ b/tests/unit/tools/test_video_analyzer_tool.py @@ -52,10 +52,10 @@ def test_video_analyzer_tool_subclass(): assert video_analyzer.args_schema == VideoAnalyzerArgs # GenAI FunctionDeclaration export - declaration = video_analyzer.to_genai_declaration() + declaration = video_analyzer.to_tool_declaration() assert declaration.name == "video_analyzer" - assert "time_description" in declaration.parameters.properties - assert "purpose" in declaration.parameters.properties + assert "time_description" in declaration.parameters["properties"] + assert "purpose" in declaration.parameters["properties"] @pytest.mark.asyncio diff --git a/tests/unit/tools/test_wait_tool.py b/tests/unit/tools/test_wait_tool.py index 1c63b2e..41523de 100644 --- a/tests/unit/tools/test_wait_tool.py +++ b/tests/unit/tools/test_wait_tool.py @@ -47,9 +47,9 @@ def test_wait_tool_subclass(): assert wait.args_schema == WaitArgs # GenAI FunctionDeclaration export - declaration = wait.to_genai_declaration() + declaration = wait.to_tool_declaration() assert declaration.name == "wait" - assert "seconds" in declaration.parameters.properties + assert "seconds" in declaration.parameters["properties"] # Wrapper check assert wait_wrapper is not None diff --git a/tests/unit/utils/test_optional_ocr.py b/tests/unit/utils/test_optional_ocr.py index d8aa0dc..7e6c285 100644 --- a/tests/unit/utils/test_optional_ocr.py +++ b/tests/unit/utils/test_optional_ocr.py @@ -140,7 +140,7 @@ def test_explorer_does_not_expose_get_ocr_list_when_unconfigured(): explorer.denylisted_tools = set() exposed = explorer.get_exposed_tools() - exposed_names = [t.name for t in exposed] + exposed_names = [t["function"]["name"] for t in exposed] assert "get_ocr_list" not in exposed_names diff --git a/uv.lock b/uv.lock index dc2d35b..745461f 100644 --- a/uv.lock +++ b/uv.lock @@ -182,25 +182,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/75/f9/f1c10e223c7b56a38109a3f2eb4e7fe9a757ea3ed3a166754fb30f65e466/ansicon-1.89.0-py2.py3-none-any.whl", hash = "sha256:f1def52d17f65c2c9682cf8370c03f541f410c1752d6a14029f97318e4b9dfec", size = 63675, upload-time = "2019-04-29T20:23:53.83Z" }, ] -[[package]] -name = "anthropic" -version = "0.122.0" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - 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