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
92 lines
3.3 KiB
Python
92 lines
3.3 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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from typing import Literal
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from artemis.config import OutputConfig, load_agent_config
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from artemis.core.context import ExecutionContext
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from artemis.core.state import ExecutionContextState
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from artemis.drivers.base import BaseDeviceDriver
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from artemis.drivers.mock.mock_driver import MockDeviceDriver
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from artemis.engine.base_runner import BaseRunner
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from artemis.engine.graph_runner import GraphRunner
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from artemis.engine.reactive_runner import ReactiveRunner
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from artemis.utils.logger import get_logger
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logger = get_logger(__name__)
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class Pipeline:
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"""Orchestrates runner selection and execution flow."""
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@classmethod
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def create_runner(
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cls,
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profile: Literal["flash", "pro"],
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ctx: ExecutionContext,
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driver: BaseDeviceDriver,
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) -> BaseRunner:
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if profile.lower() == "flash":
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return ReactiveRunner(ctx=ctx, driver=driver)
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return GraphRunner(ctx=ctx, driver=driver)
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@classmethod
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async def execute(
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cls,
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goal: str,
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profile: Literal["flash", "pro"] = "pro",
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driver: BaseDeviceDriver | None = None,
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device_id: str = "default-device",
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output_config: OutputConfig | None = None,
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enable_outputter: bool | None = None,
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) -> ExecutionContextState:
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ctx = ExecutionContext(task_goal=goal, device_id=device_id)
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if not driver:
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driver = MockDeviceDriver(device_id=device_id)
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runner = cls.create_runner(profile=profile, ctx=ctx, driver=driver)
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state = await runner.run()
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# Check Outputter configuration
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try:
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agent_cfg = load_agent_config()
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outputter_cfg = getattr(agent_cfg, "outputter", None)
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is_enabled = (
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enable_outputter
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if enable_outputter is not None
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else (outputter_cfg.enabled if outputter_cfg else True)
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)
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force_synth = outputter_cfg.force_synthesis if outputter_cfg else False
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should_synthesize = is_enabled and (
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(
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output_config
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and output_config.needs_structured_format(default_enabled=is_enabled)
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)
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or force_synth
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)
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if should_synthesize:
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logger.info("Executing post-execution Outputter synthesis in Pipeline...")
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summary = "\n".join(
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f"- Step {s.step_number}: {s.action_name}({s.action_params}) -> {s.result or s.thought or 'completed'}"
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for s in state.steps
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)
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state.metadata["structured_output"] = summary
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state.final_output = summary
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except Exception as e:
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logger.warning(f"Pipeline outputter post-processing skipped: {e}")
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return state
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