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.
Preserve user guidance through history compression, stabilize Flash index targets, and retire withdrawn checks without applying stale verdicts.
Improve runtime diagnostics, tool responses, and history rendering. Simplify documentation and comments.
Validation: 2076 tests passed in the full suite; 381 affected tests and 26 frontend tests passed after cleanup. Ruff and the quality ratchet passed.
Report device actions as dispatched and preserve full failure details. Route
Flash through McpActionExecutor and use ToolFailure across helper tools and
agent loops instead of inferring failure from response text.
Require model-provided descriptions for coordinate targets. Keep observed
element metadata separate from those descriptions in safety checks, visual
summaries, history, and frontend labels.
Add Gemini Interactions API video analysis with configurable processing mode,
chunk size, and timeouts. Centralize Google provider capabilities and token
usage normalization, and update google-genai to 2.22.0.
Preserve system instructions on follow-up interactions, replan pending chunks
when falling back to static processing, and reject unanswered native video
and audio segments instead of caching placeholder results. Keep helper-tool
failure status intact through history tools and committee calls.
Validation: 1,762 Python unit tests passed (3 skipped), 40 frontend formatter
tests passed, and the production UI build completed. Ruff lint, formatting,
the quality ratchet, and git diff checks passed.
- Backend (LLM Gateway):
- Record structured 'llm_stream_reset' event with discard action, failure reason, and retry messaging on mid-stream generation errors.
- Add unit test verifying stream reset event payload on mid-stream errors.
- Frontend (Showcase UI):
- Handle 'llm_stream_reset' events in agent service and stream aggregator, discarding interrupted chunks while showing retry indicators.
- Establish a single source of truth for tool and action events in the timeline to eliminate duplicated action rows while retaining ADB and explorer tools.
- Add @angular/cdk dependency and update agent stream component styling and layout.
- Add unit tests for stream aggregation and tool display filtering.
Add execution incidents, action bursts and shared Flash history.
Expose verification and Explorer settings with streamed check results.
Support graceful cancellation, recording recovery and bundled UI resources.
Add CI quality checks and clean up comments and documentation.
- Backend: maintain _step_number_cache in DataEngine and include step_number in all step_updated SSE events (summary, thinking, execution result)
- Admin console: query unassigned trace step_ids in stepless_rows to prevent orphan traces from being lost
- Showcase UI: implement dual-indexed entity deduplication (by step_id and step_number) in extractStepReplayFrames to eliminate phantom ghost steps
- Showcase UI: filter visual screenshot steps before generating sequential 1-based frame numbers, preventing step-4 start and index shift bugs
- Showcase UI: add rawStepNumber and summary properties to StepReplayFrame
- Showcase UI: update FloatingVideoPlayerComponent session reset effect to only reset playback on sessionId change rather than on every stepFrames mutation
- Showcase UI: add stepSeekRequest signal and stepIndex parameter to AgentService.openVideoPlayer
- Unit tests: add Karma and Pytest unit tests verifying step 1 start, dual-indexing, and SSE step_number payloads
- Unified configuration and paths under artemis.config as single source of truth
- Consolidated execution across CLI, SDK, MCP, and Admin Console to default to Artemis Daemon
- Fixed frontend step replay to preserve failure steps with proper sequential numbering
- Implemented task deduplication, debouncing, and multi-device lock isolation
- Added comprehensive end-to-end multi-port integration tests for live phone and emulator
- Implement DevicePool and DeviceExecutionLock concurrency modes (per-device FIFO vs global serialization)
- Extend ArtemisClient SDK and CLI with explicit device targeting and concurrency strategy configuration
- Add server lifecycle management (artemis restart, stop, status) with cross-platform PID discovery
- Update MCP server tools to support multi-device dispatch, trace tagging, and per-device execution
- Enhance Showcase UI with step-by-step visual replay, playback speed controls, and device serial badges
- Add comprehensive unit test coverage and edge-case verification scripts
- UI: Implement dual-mode playback in FloatingVideoPlayer supporting video and step-by-step frame replay with scrub controls and auto-fallback
- Runtime: Prevent asyncio event loop hangs on Darwin and Linux by avoiding psutil.wait_procs on direct child processes
- Task Queue: Add worker exit watchdog and automatic recording recovery for completed or interrupted sessions
- Recording: Add ffmpeg ultrafast transcode fallback, shield recording finalization against cancellation, and handle on-the-fly MP4 conversion
- Docs: Polish README_CN styling and streamline flash runner agent prompt
Roll scrcpy recordings by device rotation and duration, and publish timeline manifests for playback and analysis.
Add seamless segmented playback in the showcase UI and configurable stay-awake strategies for Android automation.
Persist and publish recoverable provider retries so temporary 503 and throttling events remain visible in live and historical task streams.
Aggregate repeated retries into an expandable action card, preserve terminal pause recovery, harden Windows worker isolation and output forwarding, and retain reliable Android hierarchy fallbacks with regression coverage.
chenmingxuan
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