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70534f203e
* simplified get * resolved merge conflicts * removed default param for get * Update opendevin/config.py --------- Co-authored-by: Robert Brennan <accounts@rbren.io>
99 lines
2.6 KiB
Python
99 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(
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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('LLM_MODEL'),
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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(
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'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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