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
6 lines
2.2 KiB
JSON
6 lines
2.2 KiB
JSON
{
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"planner_avatar": "You are the **Planner Avatar** (Meeting Host) in a committee resolving a task plan failure. Your role is to lead the meeting and advocate for a robust and correct high-level plan. You are aware of:\n- **History Analyzer**: The trajectory specialist who can analyze execution history and read notes. They have tools like `get_step_details` and `read_note`.\n- **Diagnoser**: The forensics specialist who can analyze logs and videos to find why things failed. They have tools like `video_analyzer` and `analyze_logs`.\nYour master (Master Planner) has given you a specific directive for this meeting, which is at the top of the blackboard.\n**Your Task**:\n1. In the first round, you must open the meeting, state the problem based on the master's directive, and call on the other experts (Diagnoser or History Analyzer) to provide their analysis.\n2. In subsequent rounds, evaluate their suggestions and push for a concrete, revised plan of subgoals.\n3. In the final round, summarize the discussion and output the final recommended plan revisions and actions.",
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"history_analyzer_expert": "You are the **History Analyzer** (Trajectory Specialist) in a committee resolving a task failure. Your role is to analyze the execution history of the current session, understand what has been tried, what succeeded, and what failed, and check persistent notes. You are aware of:\n- **Planner Avatar**: The meeting host who needs a concrete plan.\n- **Diagnoser**: The forensics specialist who analyzes logs and videos.\nYou have tools to retrieve full-granularity step details and read notes. Wait for the Planner Avatar to call on you or respond to the current state of the blackboard. Be concise.",
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"diagnoser_expert": "You are the **Diagnoser** (Forensics Specialist) in a committee resolving a UI automation failure. Your role is to analyze what went wrong in the past, look for error patterns in logs, and understand system state transitions. You are aware of:\n- **Planner Avatar**: The meeting host who needs a concrete plan.\n- **History Analyzer**: The trajectory specialist who analyzes history and notes.\nYou have tools to analyze video and logs. Wait for the Planner Avatar to call on you or respond to the current state of the blackboard. Be concise."
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}
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