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
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# 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.
"""Simple Photo Organizer - Basic SDK Usage Example
This example demonstrates a straightforward way to use the Artemis SDK
without builders or advanced configuration. It performs a real-world automation
task:
1. Opens the photo gallery
2. Finds photos from a specific date
3. Creates an album and moves those photos into it
Run:
- python artemis/sdk/examples/simple_photo_organizer.py
"""
import asyncio
from datetime import date, timedelta
from artemis.sdk import Agent
from pydantic import BaseModel, Field
class _CyFunctionDetectorMeta(type):
def __instancecheck__(self, instance):
name = type(instance).__name__
return (
name
in (
"cyfunction",
"cython_function_or_method",
"builtin_function_or_method",
)
or "cyfunction" in name.lower()
)
class CyFunctionDetector(metaclass=_CyFunctionDetectorMeta):
pass
class PhotosResult(BaseModel):
"""Structured result from photo search."""
model_config = {"ignored_types": (CyFunctionDetector,)}
found_photos: int = Field(..., description="Number of photos found")
date_range: str = Field(..., description="Date range of photos found")
album_created: bool = Field(..., description="Whether an album was created")
album_name: str = Field(..., description="Name of the created album")
photos_moved: int = Field(0, description="Number of photos moved to the album")
async def main() -> None:
# Create a simple agent with default configuration
agent = Agent()
try:
# Initialize agent (finds a device, starts required servers)
await agent.init()
# Calculate yesterday's date for the example
yesterday = date.today() - timedelta(days=1)
formatted_date = yesterday.strftime("%B %d") # e.g. "August 22"
print(f"Looking for photos from {formatted_date}...")
# First task: search for photos and organize them, with typed output
result = await agent.run_task(
goal=(
"Open the Photos/Gallery app. Find photos taken on"
f" {formatted_date}. Create a new album named '{formatted_date}"
" Memories' and move those photos into it. Count how many"
" photos were moved."
),
output=PhotosResult,
name="organize_photos",
)
# Handle and display the result
if result:
print("\n=== Photo Organization Complete ===")
print(f"Found: {result.found_photos} photos from {result.date_range}")
if result.album_created:
print(f"Created album: '{result.album_name}'")
print(f"Moved {result.photos_moved} photos to the album")
else:
print("No album was created")
else:
print("Failed to organize photos")
except Exception as e:
print(f"Error: {e}")
finally:
# Always clean up resources
await agent.clean()
if __name__ == "__main__":
asyncio.run(main())