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* fix: apply settings without explicit change * Change default model to gpt-4-0125-preview and don't print settings selection on startup
178 lines
6.7 KiB
Python
178 lines
6.7 KiB
Python
import asyncio
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import os
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from typing import Optional
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from fastapi import WebSocketDisconnect
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from opendevin import config
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from opendevin.action import (
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Action,
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NullAction,
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)
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from opendevin.observation import NullObservation
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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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from opendevin.observation import Observation, UserMessageObservation
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DEFAULT_API_KEY = config.get_or_none("LLM_API_KEY")
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DEFAULT_BASE_URL = config.get_or_none("LLM_BASE_URL")
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DEFAULT_WORKSPACE_DIR = config.get_or_default("WORKSPACE_DIR", os.path.join(os.getcwd(), "workspace"))
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LLM_MODEL = config.get_or_default("LLM_MODEL", "gpt-4-0125-preview")
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CONTAINER_IMAGE = config.get_or_default("SANDBOX_CONTAINER_IMAGE", "ghcr.io/opendevin/sandbox")
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class Session:
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"""Represents a session with an agent.
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Attributes:
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websocket: The WebSocket connection associated with the session.
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controller: The AgentController instance for controlling the agent.
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agent: The Agent instance representing the agent.
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agent_task: The task representing the agent's execution.
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"""
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def __init__(self, websocket):
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"""Initializes a new instance of the Session class.
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Args:
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websocket: The WebSocket connection associated with the session.
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"""
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self.websocket = websocket
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self.controller: Optional[AgentController] = None
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self.agent: Optional[Agent] = None
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self.agent_task = None
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async def send_error(self, message):
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"""Sends an error message to the client.
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Args:
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message: The error message to send.
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"""
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await self.send({"error": True, "message": message})
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async def send_message(self, message):
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"""Sends a message to the client.
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Args:
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message: The message to send.
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"""
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await self.send({"message": message})
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async def send(self, data):
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"""Sends data to the client.
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Args:
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data: The data to send.
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"""
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if self.websocket is None:
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return
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try:
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await self.websocket.send_json(data)
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except Exception as e:
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print("Error sending data to client", e)
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async def start_listening(self):
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"""Starts listening for messages from the client."""
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try:
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while True:
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try:
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data = await self.websocket.receive_json()
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except ValueError:
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await self.send_error("Invalid JSON")
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continue
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action = data.get("action", None)
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if action is None:
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await self.send_error("Invalid event")
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continue
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if action == "initialize":
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await self.create_controller(data)
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elif action == "start":
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await self.start_task(data)
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else:
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if self.controller is None:
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await self.send_error("No agent started. Please wait a second...")
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elif action == "chat":
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self.controller.add_history(NullAction(), UserMessageObservation(data["message"]))
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else:
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await self.send_error("I didn't recognize this action:" + action)
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except WebSocketDisconnect as e:
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self.websocket = None
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if self.agent_task:
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self.agent_task.cancel()
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print("Client websocket disconnected", e)
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async def create_controller(self, start_event=None):
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"""Creates an AgentController instance.
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Args:
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start_event: The start event data (optional).
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"""
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directory = DEFAULT_WORKSPACE_DIR
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if start_event and "directory" in start_event["args"]:
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directory = start_event["args"]["directory"]
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agent_cls = "MonologueAgent"
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if start_event and "agent_cls" in start_event["args"]:
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agent_cls = start_event["args"]["agent_cls"]
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model = LLM_MODEL
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if start_event and "model" in start_event["args"]:
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model = start_event["args"]["model"]
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api_key = DEFAULT_API_KEY
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if start_event and "api_key" in start_event["args"]:
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api_key = start_event["args"]["api_key"]
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api_base = DEFAULT_BASE_URL
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if start_event and "api_base" in start_event["args"]:
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api_base = start_event["args"]["api_base"]
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container_image = CONTAINER_IMAGE
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if start_event and "container_image" in start_event["args"]:
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container_image = start_event["args"]["container_image"]
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max_iterations = 100
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if start_event and "max_iterations" in start_event["args"]:
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max_iterations = start_event["args"]["max_iterations"]
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if not os.path.exists(directory):
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print(f"Workspace directory {directory} does not exist. Creating it...")
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os.makedirs(directory)
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directory = os.path.relpath(directory, os.getcwd())
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llm = LLM(model=model, api_key=api_key, base_url=api_base)
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AgentCls = Agent.get_cls(agent_cls)
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self.agent = AgentCls(llm)
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try:
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self.controller = AgentController(self.agent, workdir=directory, max_iterations=max_iterations, container_image=container_image, callbacks=[self.on_agent_event])
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except Exception:
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print("Error creating controller.")
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await self.send_error("Error creating controller. Please check Docker is running using `docker ps`.")
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return
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await self.send({"action": "initialize", "message": "Control loop started."})
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async def start_task(self, start_event):
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"""Starts a task for the agent.
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Args:
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start_event: The start event data.
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"""
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if "task" not in start_event["args"]:
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await self.send_error("No task specified")
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return
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await self.send_message("Starting new task...")
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task = start_event["args"]["task"]
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if self.controller is None:
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await self.send_error("No agent started. Please wait a second...")
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return
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try:
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self.agent_task = await asyncio.create_task(self.controller.start_loop(task), name="agent loop")
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except Exception:
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await self.send_error("Error during task loop.")
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def on_agent_event(self, event: Observation | Action):
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"""Callback function for agent events.
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Args:
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event: The agent event (Observation or Action).
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"""
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if isinstance(event, NullAction):
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return
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if isinstance(event, NullObservation):
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return
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event_dict = event.to_dict()
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asyncio.create_task(self.send(event_dict), name="send event in callback")
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