Files
OpenHands/opendevin/server/session.py
Jim Su 0a8a857d00 fix: apply settings without explicit change (#541)
* fix: apply settings without explicit change
* Change default model to gpt-4-0125-preview and don't print settings selection on startup
2024-04-02 09:49:43 -04:00

178 lines
6.7 KiB
Python

import asyncio
import os
from typing import Optional
from fastapi import WebSocketDisconnect
from opendevin import config
from opendevin.action import (
Action,
NullAction,
)
from opendevin.observation import NullObservation
from opendevin.agent import Agent
from opendevin.controller import AgentController
from opendevin.llm.llm import LLM
from opendevin.observation import Observation, UserMessageObservation
DEFAULT_API_KEY = config.get_or_none("LLM_API_KEY")
DEFAULT_BASE_URL = config.get_or_none("LLM_BASE_URL")
DEFAULT_WORKSPACE_DIR = config.get_or_default("WORKSPACE_DIR", os.path.join(os.getcwd(), "workspace"))
LLM_MODEL = config.get_or_default("LLM_MODEL", "gpt-4-0125-preview")
CONTAINER_IMAGE = config.get_or_default("SANDBOX_CONTAINER_IMAGE", "ghcr.io/opendevin/sandbox")
class Session:
"""Represents a session with an agent.
Attributes:
websocket: The WebSocket connection associated with the session.
controller: The AgentController instance for controlling the agent.
agent: The Agent instance representing the agent.
agent_task: The task representing the agent's execution.
"""
def __init__(self, websocket):
"""Initializes a new instance of the Session class.
Args:
websocket: The WebSocket connection associated with the session.
"""
self.websocket = websocket
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 self.send({"error": True, "message": message})
async def send_message(self, message):
"""Sends a message to the client.
Args:
message: The message to send.
"""
await self.send({"message": message})
async def send(self, data):
"""Sends data to the client.
Args:
data: The data to send.
"""
if self.websocket is None:
return
try:
await self.websocket.send_json(data)
except Exception as e:
print("Error sending data to client", e)
async def start_listening(self):
"""Starts listening for messages from the client."""
try:
while True:
try:
data = await self.websocket.receive_json()
except ValueError:
await self.send_error("Invalid JSON")
continue
action = data.get("action", None)
if action is None:
await self.send_error("Invalid event")
continue
if action == "initialize":
await self.create_controller(data)
elif action == "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 == "chat":
self.controller.add_history(NullAction(), UserMessageObservation(data["message"]))
else:
await self.send_error("I didn't recognize this action:" + action)
except WebSocketDisconnect as e:
self.websocket = None
if self.agent_task:
self.agent_task.cancel()
print("Client websocket disconnected", e)
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 = 100
if start_event and "max_iterations" in start_event["args"]:
max_iterations = start_event["args"]["max_iterations"]
if not os.path.exists(directory):
print(f"Workspace directory {directory} does not exist. Creating it...")
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(self.agent, workdir=directory, max_iterations=max_iterations, container_image=container_image, callbacks=[self.on_agent_event])
except Exception:
print("Error creating controller.")
await self.send_error("Error creating controller. Please check Docker is running using `docker ps`.")
return
await self.send({"action": "initialize", "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")