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
161 lines
5.0 KiB
Python
161 lines
5.0 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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"""Batch tasks execution command (artemis batch)."""
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import asyncio
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import json
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from pathlib import Path
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from typing import Annotated
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from artemis.config import initialize_llm_config
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from artemis.sdk import Agent
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from artemis.sdk.builders import Builders
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from artemis.sdk.types.task import AgentProfile
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from artemis.utils.logger import get_logger
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from rich.console import Console
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from rich.table import Table
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import typer
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logger = get_logger(__name__)
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async def run_batch_tasks(
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tasks: list[str],
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profile_name: str = "pro",
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delay_seconds: float = 5.0,
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) -> None:
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"""Executes a list of automation tasks sequentially."""
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llm_config = initialize_llm_config()
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profile = AgentProfile(name="default", llm_config=llm_config)
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config = Builders.AgentConfig.with_default_profile(profile).build()
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agent = Agent(config=config)
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await agent.init()
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console = Console()
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results = []
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try:
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for idx, goal in enumerate(tasks, start=1):
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console.rule(f"[bold cyan]Task {idx}/{len(tasks)}: {goal}[/bold cyan]")
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status = "SUCCESS"
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error_msg = ""
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try:
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result = await agent.run_task(goal=goal, profile=profile_name)
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logger.info(f"Task {idx} completed: {result}")
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except Exception as e:
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status = "FAILED"
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error_msg = str(e)
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logger.error(f"Task {idx} failed: {e}")
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results.append({"task": goal, "status": status, "error": error_msg})
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if idx < len(tasks) and delay_seconds > 0:
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await asyncio.sleep(delay_seconds)
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finally:
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await agent.clean()
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# Print summary table
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table = Table(title="Batch Execution Summary")
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table.add_column("#", justify="right", style="cyan")
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table.add_column("Task Goal", style="white")
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table.add_column("Status", justify="center")
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table.add_column("Notes", style="red")
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for i, res in enumerate(results, 1):
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status_styled = (
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"[bold green]PASS[/bold green]"
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if res["status"] == "SUCCESS"
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else "[bold red]FAIL[/bold red]"
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)
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table.add_row(str(i), res["task"], status_styled, res["error"])
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console.print(table)
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def batch_command(
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tasks_file: Annotated[
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Path | None,
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typer.Option(
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"--file",
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"-f",
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help="Path to a text or JSON file containing task goals (one per line or JSON array).",
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),
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] = None,
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goals: Annotated[
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list[str] | None,
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typer.Argument(
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help="Task goals specified directly on the command line.",
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),
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] = None,
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profile: Annotated[
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str,
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typer.Option(
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"--profile",
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"-p",
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help="Execution profile to use for all tasks ('flash' or 'pro').",
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),
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] = "pro",
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delay: Annotated[
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float,
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typer.Option(
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"--delay",
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"-d",
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help="Delay in seconds between successive tasks.",
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),
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] = 5.0,
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) -> None:
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"""Execute multiple automation tasks in sequence."""
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task_list: list[str] = []
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if tasks_file:
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if not tasks_file.exists():
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typer.secho(f"Error: Tasks file '{tasks_file}' not found.", fg=typer.colors.RED)
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raise typer.Exit(1)
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content = tasks_file.read_text(encoding="utf-8").strip()
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if tasks_file.suffix.lower() == ".json":
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try:
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parsed = json.loads(content)
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if isinstance(parsed, list):
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task_list.extend(str(item) for item in parsed)
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else:
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typer.secho(
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"Error: JSON file must contain a list of goals.", fg=typer.colors.RED
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)
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raise typer.Exit(1)
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except Exception as e:
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typer.secho(f"Error parsing JSON file: {e}", fg=typer.colors.RED)
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raise typer.Exit(1)
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else:
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task_list.extend(
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[
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line.strip()
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for line in content.splitlines()
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if line.strip() and not line.startswith("#")
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]
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)
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if goals:
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task_list.extend(goals)
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if not task_list:
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typer.secho(
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"Error: No tasks provided. Use --file or pass goals as arguments.", fg=typer.colors.RED
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)
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raise typer.Exit(1)
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asyncio.run(run_batch_tasks(task_list, profile_name=profile, delay_seconds=delay))
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