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
59 lines
2.0 KiB
Python
59 lines
2.0 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 time
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from typing import Any, Literal
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from pydantic import BaseModel, Field
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class StreamEventType:
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THOUGHT = "thought"
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ACTION = "action"
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OBSERVATION = "observation"
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STEP_START = "step_start"
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STEP_END = "step_end"
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STATUS = "status"
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ERROR = "error"
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class StreamEvent(BaseModel):
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"""Real-time intermediate progress event emitted during task execution."""
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event_type: str = Field(
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..., description="Type of event: thought, action, observation, status, etc."
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)
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step_number: int = Field(default=0, description="1-indexed execution step")
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payload: dict[str, Any] = Field(default_factory=dict, description="Event data dictionary")
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timestamp: float = Field(default_factory=time.time, description="Epoch timestamp")
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class Task(BaseModel):
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"""Configures a single autonomous mobile automation request."""
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goal: str = Field(..., description="High-level goal description")
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profile: Literal["flash", "pro"] = Field(default="pro", description="Execution profile")
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device_id: str = Field(default="default-device", description="Target device serial")
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locked_package: str | None = Field(default=None, description="Package lock restriction")
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max_turns: int = Field(default=30, description="Turn cutoff limit")
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class TaskResult(BaseModel):
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"""Final structured outcome of a task execution."""
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trace_id: str
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status: str
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turns: int
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output: Any = None
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error: str | None = None
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