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
117 lines
4.0 KiB
Python
117 lines
4.0 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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from typing import Any
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from langchain_core.tools.base import BaseTool
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from pydantic import BaseModel, Field
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from artemis.context import ArtemisContext
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from artemis.data_engine.trace import trace_langchain_tool
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from artemis.drivers.base import BaseDeviceDriver
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from artemis.graph.state import State
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from artemis.tools.base import ArtemisTool, ToolCategory, ToolRegistry
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from artemis.tools.mobile.log_utils import fetch_and_filter_logs
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from artemis.utils.logger import get_logger
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logger = get_logger(__name__)
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class ReadLogsArgs(BaseModel):
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"""Arguments schema for read_logs tool."""
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lines: int | None = Field(
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default=200,
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description=(
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"Number of recent log lines to read. Default is 200. Use larger"
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" numbers only if necessary."
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),
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)
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since_time: str | None = Field(
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default=None,
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description=(
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"Target timestamp in 'MM-DD HH:MM:SS.ms' format OR relative seconds"
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" (e.g., '15.5') to read logs since. If provided, we will try to"
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" fetch logs starting from this time."
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),
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)
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until_time: str | None = Field(
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default=None,
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description=(
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"Target timestamp in 'MM-DD HH:MM:SS.ms' format OR relative seconds"
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" (e.g., '20.0') to read logs until. If provided, we will filter"
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" logs up to this time."
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),
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)
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READ_LOGS_DOCSTRING = (
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"[DIAGNOSTIC] Fetches raw Android logs.\n\n"
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"- Use when: You need to scan logs for a time window or see the sequence"
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" of events.\n"
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"- Input: lines (int, optional): Number of lines to read (default 200)."
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" since_time (str, optional): Timestamp or relative seconds to read since."
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" until_time (str, optional): Timestamp or relative seconds to read until.\n"
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"- Output: Raw log text."
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)
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class ReadLogsTool(ArtemisTool):
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"""Universal tool for fetching raw Android logs."""
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def __init__(self, category: ToolCategory = "diagnostic"):
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super().__init__(
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name="read_logs",
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description=READ_LOGS_DOCSTRING,
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args_schema=ReadLogsArgs,
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category=category,
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)
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# pylint: disable=too-many-arguments,too-many-positional-arguments
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async def execute(
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self,
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driver: BaseDeviceDriver | None = None, # pylint: disable=unused-argument
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ctx: ArtemisContext | None = None,
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lines: int | None = 200,
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since_time: str | None = None,
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until_time: str | None = None,
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tool_call_id: str | None = None, # pylint: disable=unused-argument
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state: State | None = None, # pylint: disable=unused-argument
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**kwargs: Any,
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) -> str:
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try:
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num_lines = 200 if lines is None else lines
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logs = fetch_and_filter_logs(
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ctx=ctx,
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lines=num_lines,
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since_time=since_time,
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until_time=until_time,
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)
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return logs
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except Exception as e: # pylint: disable=broad-exception-caught
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logger.error(f"Failed to read logs: {e}")
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return f"Failed to read logs: {e}"
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# Universal tool instance & aliases
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read_logs = ReadLogsTool()
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ReadLogs = ReadLogsTool
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ReadLogsToolAlias = ReadLogsTool
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ToolRegistry.register(read_logs)
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def get_read_logs_tool(ctx: ArtemisContext) -> BaseTool:
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"""Exports read_logs as a LangChain BaseTool."""
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return trace_langchain_tool(read_logs.to_langchain_tool(ctx), ctx)
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