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
147 lines
4.9 KiB
Python
147 lines
4.9 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.
|
|
|
|
"""Base Agent Protocol & Lifecycle Framework for ARTEMIS.
|
|
|
|
Provides a unified interface and lifecycle management for all specialized
|
|
multimodal agents (Planner, Operator, FailureAnalyzer, Explorer, Summarizer, etc.).
|
|
"""
|
|
|
|
from abc import ABC, abstractmethod
|
|
from typing import TYPE_CHECKING, Any
|
|
|
|
from pydantic import BaseModel, Field
|
|
|
|
from artemis.drivers.factory import get_driver
|
|
from artemis.utils.logger import get_logger
|
|
|
|
if TYPE_CHECKING:
|
|
pass
|
|
|
|
logger = get_logger(__name__)
|
|
|
|
|
|
class AgentConfig(BaseModel):
|
|
"""Configuration options for an individual agent."""
|
|
|
|
model_name: str | None = Field(default=None, description="LLM/VLM model override")
|
|
temperature: float = Field(default=0.0, description="Sampling temperature")
|
|
max_tokens: int = Field(default=4096, description="Maximum output tokens")
|
|
system_prompt_override: str | None = Field(
|
|
default=None, description="Custom system prompt override"
|
|
)
|
|
enabled_tools: list[str] = Field(
|
|
default_factory=list, description="Tool names enabled for this agent"
|
|
)
|
|
|
|
|
|
class AgentResponse(BaseModel):
|
|
"""Standardized structured response from an agent invocation."""
|
|
|
|
status: str = Field(
|
|
default="success", description="Execution status ('success', 'retry', 'fail', 'done')"
|
|
)
|
|
thought: str | None = Field(default=None, description="Reasoning and internal monologue")
|
|
action_taken: str | None = Field(default=None, description="Action or tool called")
|
|
output: Any = Field(default=None, description="Output payload or state updates")
|
|
metadata: dict[str, Any] = Field(
|
|
default_factory=dict, description="Diagnostic and profiling metadata"
|
|
)
|
|
|
|
|
|
class BaseAgent(ABC):
|
|
"""Abstract Base Class defining the standard lifecycle for all ARTEMIS agents."""
|
|
|
|
def __init__(
|
|
self,
|
|
name: str,
|
|
role: str,
|
|
description: str,
|
|
config: AgentConfig | None = None,
|
|
ctx: Any | None = None,
|
|
):
|
|
self.name = name
|
|
self.role = role
|
|
self.description = description
|
|
self.config = config or AgentConfig()
|
|
self.ctx: Any | None = ctx
|
|
self._is_initialized = False
|
|
|
|
@property
|
|
def driver(self) -> Any | None:
|
|
"""Helper to get the active device driver from the context."""
|
|
if self.ctx:
|
|
return get_driver(self.ctx)
|
|
return None
|
|
|
|
async def initialize(self, ctx: Any) -> None:
|
|
"""Lifecycle hook: Called once when the agent is loaded into the workflow."""
|
|
self.ctx = ctx
|
|
self._is_initialized = True
|
|
logger.info(f"Agent '{self.name}' ({self.role}) initialized.")
|
|
|
|
@abstractmethod
|
|
async def process(self, state: Any) -> dict[str, Any]:
|
|
"""Main execution hook: Receives state, reasons, interacts with tools, and returns state updates."""
|
|
...
|
|
|
|
async def cleanup(self) -> None:
|
|
"""Lifecycle hook: Called upon session or workflow termination."""
|
|
self._is_initialized = False
|
|
logger.debug(f"Agent '{self.name}' cleanup complete.")
|
|
|
|
def __repr__(self) -> str:
|
|
return f"<{self.__class__.__name__} name={self.name!r} role={self.role!r}>"
|
|
|
|
|
|
class AgentRegistry:
|
|
"""Central registry and factory for ARTEMIS agents."""
|
|
|
|
_registry: dict[str, type[BaseAgent]] = {}
|
|
|
|
@classmethod
|
|
def register(cls, name: str | None = None):
|
|
"""Decorator to register an agent class with a unique identifier."""
|
|
|
|
def decorator(subclass: type[BaseAgent]) -> type[BaseAgent]:
|
|
reg_name = name or subclass.__name__.lower()
|
|
cls._registry[reg_name] = subclass
|
|
return subclass
|
|
|
|
return decorator
|
|
|
|
@classmethod
|
|
def get_agent_class(cls, name: str) -> type[BaseAgent] | None:
|
|
return cls._registry.get(name.lower())
|
|
|
|
@classmethod
|
|
def create_agent(
|
|
cls,
|
|
name: str,
|
|
ctx: Any | None = None,
|
|
config: AgentConfig | None = None,
|
|
**kwargs: Any,
|
|
) -> BaseAgent:
|
|
"""Instantiates an agent by registered name."""
|
|
agent_cls = cls.get_agent_class(name)
|
|
if not agent_cls:
|
|
raise KeyError(
|
|
f"Agent '{name}' is not registered. Available: {list(cls._registry.keys())}"
|
|
)
|
|
return agent_cls(ctx=ctx, config=config, **kwargs)
|
|
|
|
@classmethod
|
|
def list_agents(cls) -> list[str]:
|
|
return list(cls._registry.keys())
|