somew1nd
206a9ce921
ARTEMIS is an autonomous multimodal Android agent and mobile UI automation platform engineered for physical devices and emulators. It combines state-of-the-art multimodal Vision-Language Models (VLMs) with hierarchical closed-loop planning, resilient self-healing, and deep Android subsystem integration. Key Features & Architectural Highlights: - Dual-Engine Orchestration: * Pro Engine: Multi-agent closed-loop (Planner -> Operator -> Validator/Failure Analyzer -> Summarizer) powered by LangGraph. * Flash Engine: Ultra-fast reactive loop for deterministic, low-latency UI execution (<35 steps). - Multimodal Perception & Grounding: * Hybrid visual screenshot grounding, real-time OCR extraction, and XML accessibility hierarchy parsing. * Dynamic-First, Coordinate-Fallback locating strategy for maximum resilience against UI drift. - Autonomous Self-Healing & Diagnostics: * Failure analyzer and safety net for popup dismissal, crash recovery, and auto-retry. * Diagnostic sub-agents for log analysis, video recording inspection, and object detection. - Unified CLI & Python SDK: * Rich CLI with commands: init, doctor, run, trace, batch, bench, server, and mcp. * Fluent Python SDK with Pydantic structured output models and package locking. - Multi-Provider LLM Architecture: * Support for Google Gemini, OpenAI, Anthropic Claude, Vertex AI, OpenRouter, xAI Grok, and local endpoints (Ollama/vLLM). * Centralized configuration in config/artemis.jsonc. - Native MCP & Observability: * Model Context Protocol (MCP) server endpoints for AI IDEs. * Full trace recording with before/after screenshots, action overlays, and execution replays. Change-Id: I430b93ee2b76b54cc5a3c6eeccd15d2cf29830a1
63 lines
2.3 KiB
Python
63 lines
2.3 KiB
Python
# Copyright 2026 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import json
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from pathlib import Path
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from artemis.utils.logger import get_logger
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from artemis.utils.notes import get_notes_dir
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logger = get_logger(__name__)
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def get_verification_chat_path(base_dir: str | Path, subgoal_hash: str) -> Path:
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"""Gets the path to the verification chat file for a given subgoal."""
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notes_dir = get_notes_dir(base_dir)
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return notes_dir / f"verification_chat_{subgoal_hash}.json"
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def read_verification_chat(chat_path: Path) -> list[dict]:
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"""Reads the verification chat history from the given path."""
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if not chat_path.exists():
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return []
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try:
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return json.loads(chat_path.read_text(encoding="utf-8"))
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except Exception as e:
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logger.error(f"Failed to load verification chat from {chat_path}: {e}")
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return []
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def get_verification_chat_rounds(turns: list[dict]) -> tuple[int, int]:
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"""Calculates the maximum rounds for operator and checker from the turns."""
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max_op = max(
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[t.get("round", 0) for t in turns if t.get("role") == "operator"],
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default=0,
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)
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max_chk = max(
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[t.get("round", 0) for t in turns if t.get("role") == "checker"],
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default=0,
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)
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return max_op, max_chk
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def append_verification_chat(chat_path: Path, role: str, content: str, round_num: int) -> bool:
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"""Appends a new turn to the verification chat file."""
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turns = read_verification_chat(chat_path)
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turns.append({"role": role, "round": round_num, "content": content})
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try:
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chat_path.write_text(json.dumps(turns, indent=2, ensure_ascii=False), encoding="utf-8")
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return True
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except Exception as e:
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logger.error(f"Failed to save verification chat to {chat_path}: {e}")
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return False
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