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- import asyncio
- import os
- from typing import Optional
- from opendevin import config
- from opendevin.action import (
- Action,
- NullAction,
- )
- from opendevin.agent import Agent
- from opendevin.controller import AgentController
- from opendevin.llm.llm import LLM
- from opendevin.observation import NullObservation, Observation, UserMessageObservation
- from opendevin.server.session import session_manager
- from opendevin.schema import ActionType
- from opendevin.logging import opendevin_logger as logger
- DEFAULT_API_KEY = config.get("LLM_API_KEY")
- DEFAULT_BASE_URL = config.get("LLM_BASE_URL")
- DEFAULT_WORKSPACE_DIR = config.get("WORKSPACE_DIR")
- LLM_MODEL = config.get("LLM_MODEL")
- CONTAINER_IMAGE = config.get("SANDBOX_CONTAINER_IMAGE")
- MAX_ITERATIONS = config.get("MAX_ITERATIONS")
- class AgentManager:
- """Represents a session with an agent.
- Attributes:
- controller: The AgentController instance for controlling the agent.
- agent: The Agent instance representing the agent.
- agent_task: The task representing the agent's execution.
- """
- sid: str
- def __init__(self, sid):
- """Initializes a new instance of the Session class."""
- self.sid = sid
- self.controller: Optional[AgentController] = None
- self.agent: Optional[Agent] = None
- self.agent_task = None
- async def send_error(self, message):
- """Sends an error message to the client.
- Args:
- message: The error message to send.
- """
- await session_manager.send_error(self.sid, message)
- async def send_message(self, message):
- """Sends a message to the client.
- Args:
- message: The message to send.
- """
- await session_manager.send_message(self.sid, message)
- async def send(self, data):
- """Sends data to the client.
- Args:
- data: The data to send.
- """
- await session_manager.send(self.sid, data)
- async def dispatch(self, action: str | None, data: dict):
- """Dispatches actions to the agent from the client."""
- if action is None:
- await self.send_error("Invalid action")
- return
- if action == ActionType.INIT:
- await self.create_controller(data)
- elif action == ActionType.START:
- await self.start_task(data)
- else:
- if self.controller is None:
- await self.send_error("No agent started. Please wait a second...")
- elif action == ActionType.CHAT:
- self.controller.add_history(
- NullAction(), UserMessageObservation(data["message"])
- )
- else:
- await self.send_error("I didn't recognize this action:" + action)
- async def create_controller(self, start_event=None):
- """Creates an AgentController instance.
- Args:
- start_event: The start event data (optional).
- """
- directory = DEFAULT_WORKSPACE_DIR
- if start_event and "directory" in start_event["args"]:
- directory = start_event["args"]["directory"]
- agent_cls = "MonologueAgent"
- if start_event and "agent_cls" in start_event["args"]:
- agent_cls = start_event["args"]["agent_cls"]
- model = LLM_MODEL
- if start_event and "model" in start_event["args"]:
- model = start_event["args"]["model"]
- api_key = DEFAULT_API_KEY
- if start_event and "api_key" in start_event["args"]:
- api_key = start_event["args"]["api_key"]
- api_base = DEFAULT_BASE_URL
- if start_event and "api_base" in start_event["args"]:
- api_base = start_event["args"]["api_base"]
- container_image = CONTAINER_IMAGE
- if start_event and "container_image" in start_event["args"]:
- container_image = start_event["args"]["container_image"]
- max_iterations = MAX_ITERATIONS
- if start_event and "max_iterations" in start_event["args"]:
- max_iterations = start_event["args"]["max_iterations"]
- # double check preventing error occurs
- if directory == "":
- directory = DEFAULT_WORKSPACE_DIR
- if agent_cls == "":
- agent_cls = "MonologueAgent"
- if model == "":
- model = LLM_MODEL
- if not os.path.exists(directory):
- logger.info("Workspace directory %s does not exist. Creating it...", directory)
- os.makedirs(directory)
- directory = os.path.relpath(directory, os.getcwd())
- llm = LLM(model=model, api_key=api_key, base_url=api_base)
- AgentCls = Agent.get_cls(agent_cls)
- self.agent = AgentCls(llm)
- try:
- self.controller = AgentController(
- id=self.sid,
- agent=self.agent,
- workdir=directory,
- max_iterations=max_iterations,
- container_image=container_image,
- callbacks=[self.on_agent_event],
- )
- except Exception:
- logger.exception("Error creating controller.")
- await self.send_error(
- "Error creating controller. Please check Docker is running using `docker ps`."
- )
- return
- await self.send({"action": ActionType.INIT, "message": "Control loop started."})
- async def start_task(self, start_event):
- """Starts a task for the agent.
- Args:
- start_event: The start event data.
- """
- if "task" not in start_event["args"]:
- await self.send_error("No task specified")
- return
- await self.send_message("Starting new task...")
- task = start_event["args"]["task"]
- if self.controller is None:
- await self.send_error("No agent started. Please wait a second...")
- return
- try:
- self.agent_task = await asyncio.create_task(
- self.controller.start_loop(task), name="agent loop"
- )
- except Exception:
- await self.send_error("Error during task loop.")
- def on_agent_event(self, event: Observation | Action):
- """Callback function for agent events.
- Args:
- event: The agent event (Observation or Action).
- """
- if isinstance(event, NullAction):
- return
- if isinstance(event, NullObservation):
- return
- event_dict = event.to_dict()
- asyncio.create_task(self.send(event_dict), name="send event in callback")
- def disconnect(self):
- self.websocket = None
- if self.agent_task:
- self.agent_task.cancel()
- if self.controller is not None:
- self.controller.command_manager.shell.close()
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