mirror of
https://github.com/All-Hands-AI/OpenHands.git
synced 2026-04-29 03:00:45 -04:00
adbcfefd8c
* feat: websocket connection management and sandbox bound to session. * fix: set default value to id * feat: add session management. * fix for mypy * fix for mypy * fix the pnpm-lock. * fix the default model is empty will throw error.
97 lines
2.6 KiB
Python
97 lines
2.6 KiB
Python
import asyncio
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import argparse
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import sys
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from typing import Type
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import agenthub # noqa F401 (we import this to get the agents registered)
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from opendevin import config
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from opendevin.agent import Agent
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from opendevin.controller import AgentController
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from opendevin.llm.llm import LLM
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def read_task_from_file(file_path: str) -> str:
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"""Read task from the specified file."""
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with open(file_path, "r", encoding="utf-8") as file:
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return file.read()
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def read_task_from_stdin() -> str:
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"""Read task from stdin."""
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return sys.stdin.read()
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def parse_arguments():
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"""Parse command-line arguments."""
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parser = argparse.ArgumentParser(description="Run an agent with a specific task")
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parser.add_argument(
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"-d",
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"--directory",
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required=True,
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type=str,
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help="The working directory for the agent",
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)
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parser.add_argument(
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"-t", "--task", type=str, default="", help="The task for the agent to perform"
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)
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parser.add_argument(
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"-f",
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"--file",
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type=str,
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help="Path to a file containing the task. Overrides -t if both are provided.",
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)
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parser.add_argument(
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"-c",
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"--agent-cls",
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default="MonologueAgent",
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type=str,
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help="The agent class to use",
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)
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parser.add_argument(
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"-m",
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"--model-name",
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default=config.get_or_default("LLM_MODEL", "gpt-4-0125-preview"),
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type=str,
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help="The (litellm) model name to use",
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)
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parser.add_argument(
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"-i",
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"--max-iterations",
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default=100,
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type=int,
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help="The maximum number of iterations to run the agent",
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)
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return parser.parse_args()
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async def main():
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"""Main coroutine to run the agent controller with task input flexibility."""
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args = parse_arguments()
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# Determine the task source
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if args.file:
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task = read_task_from_file(args.file)
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elif not sys.stdin.isatty():
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task = read_task_from_stdin()
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else:
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task = args.task
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if not task:
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raise ValueError("No task provided. Please specify a task through -t, -f.")
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print(
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f'Running agent {args.agent_cls} (model: {args.model_name}, directory: {args.directory}) with task: "{task}"'
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)
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llm = LLM(args.model_name)
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AgentCls: Type[Agent] = Agent.get_cls(args.agent_cls)
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agent = AgentCls(llm=llm)
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controller = AgentController(
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agent=agent, workdir=args.directory, max_iterations=args.max_iterations
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)
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await controller.start_loop(task)
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if __name__ == "__main__":
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asyncio.run(main())
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