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
139 lines
4.1 KiB
Python
139 lines
4.1 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 asyncio
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from collections.abc import Awaitable, Callable
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from functools import wraps
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from typing import Any, TypeVar, cast, overload
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R = TypeVar("R")
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def wrap_with_callbacks_sync(
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fn: Callable[..., R],
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*,
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before: Callable[..., None] | None = None,
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on_success: Callable[[R], None] | None = None,
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on_failure: Callable[[Exception], None] | None = None,
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suppress_exceptions: bool = False,
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) -> Callable[..., R]:
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@wraps(fn)
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def wrapper(*args: Any, **kwargs: Any) -> R:
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if before:
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before()
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try:
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result = fn(*args, **kwargs)
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if on_success:
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on_success(result)
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return result
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except Exception as e:
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if on_failure:
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on_failure(e)
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if suppress_exceptions:
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return None # type: ignore
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raise
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return wrapper
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def wrap_with_callbacks_async(
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fn: Callable[..., Awaitable[R]],
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*,
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before: Callable[..., None] | None = None,
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on_success: Callable[[R], None] | None = None,
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on_failure: Callable[[Exception], None] | None = None,
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suppress_exceptions: bool = False,
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) -> Callable[..., Awaitable[R]]:
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@wraps(fn)
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async def wrapper(*args: Any, **kwargs: Any) -> R:
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if before:
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before()
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try:
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result = await fn(*args, **kwargs)
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if on_success:
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on_success(result)
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return result
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except Exception as e:
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if on_failure:
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on_failure(e)
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if suppress_exceptions:
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return None # type: ignore
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raise
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return wrapper
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@overload
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def wrap_with_callbacks(
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fn: Callable[..., Awaitable[R]],
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*,
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before: Callable[[], None] | None = ...,
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on_success: Callable[[R], None] | None = ...,
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on_failure: Callable[[Exception], None] | None = ...,
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suppress_exceptions: bool = ...,
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) -> Callable[..., Awaitable[R]]: ...
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@overload
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def wrap_with_callbacks(
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*,
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before: Callable[..., None] | None = ...,
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on_success: Callable[[Any], None] | None = ...,
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on_failure: Callable[[Exception], None] | None = ...,
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suppress_exceptions: bool = ...,
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) -> Callable[[Callable[..., R]], Callable[..., R]]: ...
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@overload
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def wrap_with_callbacks(
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fn: Callable[..., R],
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*,
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before: Callable[[], None] | None = ...,
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on_success: Callable[[R], None] | None = ...,
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on_failure: Callable[[Exception], None] | None = ...,
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suppress_exceptions: bool = ...,
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) -> Callable[..., R]: ...
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def wrap_with_callbacks(
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fn: Callable[..., Any] | None = None,
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*,
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before: Callable[[], None] | None = None,
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on_success: Callable[[Any], None] | None = None,
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on_failure: Callable[[Exception], None] | None = None,
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suppress_exceptions: bool = False,
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) -> Any:
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def decorator(func: Callable[..., Any]) -> Any:
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if asyncio.iscoroutinefunction(func):
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return wrap_with_callbacks_async(
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cast(Callable[..., Awaitable[Any]], func),
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before=before,
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on_success=on_success,
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on_failure=on_failure,
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suppress_exceptions=suppress_exceptions,
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)
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else:
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return wrap_with_callbacks_sync(
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cast(Callable[..., Any], func),
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before=before,
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on_success=on_success,
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on_failure=on_failure,
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suppress_exceptions=suppress_exceptions,
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)
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if fn is None:
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return decorator
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else:
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return decorator(fn)
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