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
88 lines
2.7 KiB
Python
88 lines
2.7 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 artemis.sdk import Agent
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from pydantic import BaseModel, Field
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class _CyFunctionDetectorMeta(type):
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def __instancecheck__(self, instance):
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name = type(instance).__name__
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return (
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name
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in (
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"cyfunction",
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"cython_function_or_method",
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"builtin_function_or_method",
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)
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or "cyfunction" in name.lower()
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)
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class CyFunctionDetector(metaclass=_CyFunctionDetectorMeta):
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pass
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class MessageResult(BaseModel):
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"""Structured result from messaging task."""
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model_config = {"ignored_types": (CyFunctionDetector,)}
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messages_sent: int = Field(..., description="Number of messages successfully sent")
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contacts: list[str] = Field(..., description="List of contacts messaged")
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success: bool = Field(..., description="Whether all messages were sent successfully")
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async def main() -> None:
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# Create agent with default configuration
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agent = Agent()
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try:
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await agent.init()
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# Use app lock to keep execution in WhatsApp
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# This ensures the agent stays in the app and relaunches if needed
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task = (
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agent.new_task("Send 'Happy New Year!' message to Alice, Bob, and Charlie on WhatsApp")
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.with_name("send_new_year_messages")
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.with_locked_app_package("com.whatsapp") # Lock to WhatsApp
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.with_output_format(MessageResult)
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.with_max_steps(600) # Messaging tasks may need more steps
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.build()
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)
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print("Sending messages with app lock enabled...")
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print("The agent will stay in WhatsApp and relaunch if needed.\n")
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result = await agent.run_task(request=task)
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if result:
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print("\n=== Messaging Complete ===")
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print(f"Messages sent: {result.messages_sent}")
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print(f"Contacts: {', '.join(result.contacts)}")
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print(f"Success: {result.success}")
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else:
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print("Failed to send messages")
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except Exception as e:
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print(f"Error: {e}")
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finally:
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await agent.clean()
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if __name__ == "__main__":
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asyncio.run(main())
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