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
71 lines
3.0 KiB
Python
71 lines
3.0 KiB
Python
# Copyright 2026 Google LLC
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
|
|
"""Core Execution State and Lifecycle Data Structures."""
|
|
|
|
from enum import Enum
|
|
import time
|
|
from typing import Any
|
|
from pydantic import BaseModel, Field
|
|
|
|
|
|
class ExecutionStatus(str, Enum):
|
|
PENDING = "pending"
|
|
RUNNING = "running"
|
|
SUCCESS = "success"
|
|
FAILED = "failed"
|
|
PAUSED = "paused"
|
|
INTERRUPTED = "interrupted"
|
|
|
|
|
|
class StepRecord(BaseModel):
|
|
"""Encapsulates a single step's observation, thought, and action."""
|
|
|
|
step_number: int = Field(..., description="1-indexed step turn counter")
|
|
thought: str | None = Field(default=None, description="Reasoning text")
|
|
action_name: str | None = Field(default=None, description="Triggered action name")
|
|
action_params: dict[str, Any] = Field(default_factory=dict, description="Action arguments")
|
|
result: str | None = Field(default=None, description="Action execution result output")
|
|
screenshot_path: str | None = Field(default=None, description="Saved step screenshot file URI")
|
|
timestamp: float = Field(default_factory=time.time, description="Timestamp of step start")
|
|
duration_seconds: float = Field(default=0.0, description="Step processing duration in seconds")
|
|
|
|
|
|
class ExecutionContextState(BaseModel):
|
|
"""Full execution state passed across agents and runners."""
|
|
|
|
task_goal: str = Field(..., description="Initial user task objective")
|
|
trace_id: str = Field(..., description="Unique task trace identifier")
|
|
status: ExecutionStatus = Field(
|
|
default=ExecutionStatus.RUNNING, description="Current execution lifecycle status"
|
|
)
|
|
current_turn: int = Field(default=0, description="Current step turn count")
|
|
max_turns: int = Field(default=30, description="Maximum allowed step turns before timeout")
|
|
steps: list[StepRecord] = Field(
|
|
default_factory=list, description="Chronological execution step history"
|
|
)
|
|
active_plan: list[str] = Field(
|
|
default_factory=list, description="Decomposed milestone plan items"
|
|
)
|
|
current_step_index: int = Field(default=0, description="Current index within active_plan")
|
|
metadata: dict[str, Any] = Field(
|
|
default_factory=dict, description="Custom metadata and state parameters"
|
|
)
|
|
error_message: str | None = Field(
|
|
default=None, description="Failure reason if status is FAILED"
|
|
)
|
|
final_output: Any | None = Field(
|
|
default=None, description="Final synthesized structured output from Outputter or runner"
|
|
)
|