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Artemis-Eapil/artemis/agents/base.py
T
somew1nd 206a9ce921 feat: initial release of ARTEMIS Android Agent & Automation Platform
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
2026-08-13 11:46:47 -07:00

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())