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
178 lines
5.9 KiB
Python
178 lines
5.9 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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"""Modular Recovery Strategies for the Validation and Self-Healing Engine."""
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from abc import ABC, abstractmethod
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from enum import Enum
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from typing import Any
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from artemis.drivers.base import BaseDeviceDriver
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from artemis.utils.logger import get_logger
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from pydantic import BaseModel, Field
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logger = get_logger(__name__)
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class RecoveryActionType(str, Enum):
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RETRY_DYNAMIC_LOCATOR = "retry_dynamic_locator"
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DISMISS_DIALOG = "dismiss_dialog"
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NAVIGATE_BACK = "navigate_back"
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SCROLL_AND_RETRY = "scroll_and_retry"
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RESTART_APP = "restart_app"
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FALLBACK_COORDINATES = "fallback_coordinates"
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class RecoveryResult(BaseModel):
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"""Result of executing an autonomous self-healing recovery strategy."""
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success: bool
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action_type: RecoveryActionType
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reason: str
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metadata: dict[str, Any] = Field(default_factory=dict)
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class BaseRecoveryStrategy(ABC):
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"""Abstract interface for modular self-healing failure recovery tactics."""
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@property
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@abstractmethod
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def name(self) -> str:
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"""Strategy identifier."""
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...
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@abstractmethod
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async def can_handle(self, failure_context: dict[str, Any]) -> bool:
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"""Determines if this strategy applies to the observed failure mode."""
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...
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@abstractmethod
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async def execute(
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self,
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driver: BaseDeviceDriver,
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failure_context: dict[str, Any],
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) -> RecoveryResult:
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"""Executes the self-healing corrective actions."""
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...
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class DismissDialogRecoveryStrategy(BaseRecoveryStrategy):
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"""Strategy to detect and dismiss unexpected modal dialogs, popups, or permission prompts."""
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@property
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def name(self) -> str:
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return "dismiss_dialog"
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async def can_handle(self, failure_context: dict[str, Any]) -> bool:
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category = failure_context.get("category", "")
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error_msg = failure_context.get("error_message", "").lower()
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return (
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category == "ui_obstruction"
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or "permission" in error_msg
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or "dialog" in error_msg
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or "popup" in error_msg
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)
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async def execute(
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self,
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driver: BaseDeviceDriver,
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failure_context: dict[str, Any],
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) -> RecoveryResult:
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logger.info(
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"[Recovery] Attempting to dismiss unexpected dialog or overlay via Back button..."
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)
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success = await driver.press_key("back")
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return RecoveryResult(
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success=success,
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action_type=RecoveryActionType.DISMISS_DIALOG,
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reason="Sent BACK keyevent to dismiss modal overlay",
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)
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class NavigateBackRecoveryStrategy(BaseRecoveryStrategy):
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"""Strategy to navigate back when agent navigates to a wrong screen."""
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@property
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def name(self) -> str:
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return "navigate_back"
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async def can_handle(self, failure_context: dict[str, Any]) -> bool:
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category = failure_context.get("category", "")
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return category in ("wrong_screen", "dead_end", "navigation_error")
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async def execute(
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self,
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driver: BaseDeviceDriver,
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failure_context: dict[str, Any],
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) -> RecoveryResult:
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logger.info("[Recovery] Wrong screen detected, rolling back navigation...")
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success = await driver.press_key("back")
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return RecoveryResult(
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success=success,
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action_type=RecoveryActionType.NAVIGATE_BACK,
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reason="Navigated back from incorrect screen",
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)
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class ScrollAndSearchRecoveryStrategy(BaseRecoveryStrategy):
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"""Strategy to scroll viewport when target element is off-screen."""
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@property
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def name(self) -> str:
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return "scroll_and_search"
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async def can_handle(self, failure_context: dict[str, Any]) -> bool:
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category = failure_context.get("category", "")
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return category in ("element_not_found", "off_screen", "target_missing")
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async def execute(
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self,
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driver: BaseDeviceDriver,
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failure_context: dict[str, Any],
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) -> RecoveryResult:
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direction = failure_context.get("scroll_direction", "down")
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logger.info(f"[Recovery] Target missing, scrolling {direction} to reveal element...")
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success = await driver.swipe_direction(direction=direction)
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return RecoveryResult(
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success=success,
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action_type=RecoveryActionType.SCROLL_AND_RETRY,
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reason=f"Scrolled {direction} to discover offscreen element",
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)
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class RecoveryStrategyRegistry:
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"""Central registry and chain-of-responsibility for self-healing recovery strategies."""
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_strategies: list[BaseRecoveryStrategy] = [
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DismissDialogRecoveryStrategy(),
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NavigateBackRecoveryStrategy(),
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ScrollAndSearchRecoveryStrategy(),
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]
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@classmethod
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def register(cls, strategy: BaseRecoveryStrategy) -> None:
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cls._strategies.append(strategy)
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@classmethod
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async def attempt_recovery(
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cls,
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driver: BaseDeviceDriver,
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failure_context: dict[str, Any],
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) -> RecoveryResult | None:
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"""Finds the first applicable strategy and executes recovery."""
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for strategy in cls._strategies:
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if await strategy.can_handle(failure_context):
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logger.info(f"Applying recovery strategy: {strategy.name}")
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return await strategy.execute(driver=driver, failure_context=failure_context)
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return None
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