forked from open-webui/open-webui
dbf7b15539
MODEL_FILTER_ENABLED -> ENABLE_MODEL_FILTER
351 lines
9.4 KiB
Python
351 lines
9.4 KiB
Python
import sys
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from fastapi import FastAPI, Depends, HTTPException
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from fastapi.routing import APIRoute
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from fastapi.middleware.cors import CORSMiddleware
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import logging
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from fastapi import FastAPI, Request, Depends, status, Response
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from fastapi.responses import JSONResponse
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from starlette.middleware.base import BaseHTTPMiddleware, RequestResponseEndpoint
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from starlette.responses import StreamingResponse
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import json
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import time
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import requests
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from pydantic import BaseModel, ConfigDict
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from typing import Optional, List
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from utils.utils import get_verified_user, get_current_user, get_admin_user
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from config import SRC_LOG_LEVELS, ENV
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from constants import MESSAGES
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log = logging.getLogger(__name__)
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log.setLevel(SRC_LOG_LEVELS["LITELLM"])
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from config import (
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ENABLE_MODEL_FILTER,
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MODEL_FILTER_LIST,
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DATA_DIR,
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LITELLM_PROXY_PORT,
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LITELLM_PROXY_HOST,
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)
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from litellm.utils import get_llm_provider
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import asyncio
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import subprocess
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import yaml
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app = FastAPI()
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origins = ["*"]
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app.add_middleware(
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CORSMiddleware,
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allow_origins=origins,
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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LITELLM_CONFIG_DIR = f"{DATA_DIR}/litellm/config.yaml"
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with open(LITELLM_CONFIG_DIR, "r") as file:
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litellm_config = yaml.safe_load(file)
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app.state.CONFIG = litellm_config
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# Global variable to store the subprocess reference
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background_process = None
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async def run_background_process(command):
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global background_process
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log.info("run_background_process")
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try:
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# Log the command to be executed
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log.info(f"Executing command: {command}")
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# Execute the command and create a subprocess
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process = await asyncio.create_subprocess_exec(
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*command, stdout=subprocess.PIPE, stderr=subprocess.PIPE
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)
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background_process = process
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log.info("Subprocess started successfully.")
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# Capture STDERR for debugging purposes
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stderr_output = await process.stderr.read()
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stderr_text = stderr_output.decode().strip()
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if stderr_text:
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log.info(f"Subprocess STDERR: {stderr_text}")
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# log.info output line by line
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async for line in process.stdout:
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log.info(line.decode().strip())
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# Wait for the process to finish
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returncode = await process.wait()
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log.info(f"Subprocess exited with return code {returncode}")
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except Exception as e:
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log.error(f"Failed to start subprocess: {e}")
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raise # Optionally re-raise the exception if you want it to propagate
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async def start_litellm_background():
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log.info("start_litellm_background")
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# Command to run in the background
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command = [
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"litellm",
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"--port",
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str(LITELLM_PROXY_PORT),
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"--host",
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LITELLM_PROXY_HOST,
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"--telemetry",
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"False",
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"--config",
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LITELLM_CONFIG_DIR,
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]
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await run_background_process(command)
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async def shutdown_litellm_background():
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log.info("shutdown_litellm_background")
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global background_process
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if background_process:
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background_process.terminate()
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await background_process.wait() # Ensure the process has terminated
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log.info("Subprocess terminated")
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background_process = None
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@app.on_event("startup")
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async def startup_event():
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log.info("startup_event")
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# TODO: Check config.yaml file and create one
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asyncio.create_task(start_litellm_background())
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app.state.ENABLE_MODEL_FILTER = ENABLE_MODEL_FILTER
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app.state.MODEL_FILTER_LIST = MODEL_FILTER_LIST
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@app.get("/")
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async def get_status():
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return {"status": True}
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async def restart_litellm():
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"""
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Endpoint to restart the litellm background service.
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"""
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log.info("Requested restart of litellm service.")
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try:
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# Shut down the existing process if it is running
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await shutdown_litellm_background()
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log.info("litellm service shutdown complete.")
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# Restart the background service
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asyncio.create_task(start_litellm_background())
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log.info("litellm service restart complete.")
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return {
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"status": "success",
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"message": "litellm service restarted successfully.",
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}
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except Exception as e:
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log.info(f"Error restarting litellm service: {e}")
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raise HTTPException(
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status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(e)
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)
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@app.get("/restart")
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async def restart_litellm_handler(user=Depends(get_admin_user)):
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return await restart_litellm()
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@app.get("/config")
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async def get_config(user=Depends(get_admin_user)):
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return app.state.CONFIG
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class LiteLLMConfigForm(BaseModel):
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general_settings: Optional[dict] = None
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litellm_settings: Optional[dict] = None
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model_list: Optional[List[dict]] = None
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router_settings: Optional[dict] = None
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model_config = ConfigDict(protected_namespaces=())
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@app.post("/config/update")
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async def update_config(form_data: LiteLLMConfigForm, user=Depends(get_admin_user)):
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app.state.CONFIG = form_data.model_dump(exclude_none=True)
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with open(LITELLM_CONFIG_DIR, "w") as file:
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yaml.dump(app.state.CONFIG, file)
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await restart_litellm()
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return app.state.CONFIG
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@app.get("/models")
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@app.get("/v1/models")
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async def get_models(user=Depends(get_current_user)):
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while not background_process:
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await asyncio.sleep(0.1)
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url = f"http://localhost:{LITELLM_PROXY_PORT}/v1"
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r = None
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try:
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r = requests.request(method="GET", url=f"{url}/models")
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r.raise_for_status()
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data = r.json()
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if app.state.ENABLE_MODEL_FILTER:
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if user and user.role == "user":
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data["data"] = list(
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filter(
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lambda model: model["id"] in app.state.MODEL_FILTER_LIST,
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data["data"],
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)
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)
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return data
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except Exception as e:
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log.exception(e)
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error_detail = "Open WebUI: Server Connection Error"
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if r is not None:
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try:
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res = r.json()
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if "error" in res:
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error_detail = f"External: {res['error']}"
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except:
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error_detail = f"External: {e}"
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return {
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"data": [
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{
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"id": model["model_name"],
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"object": "model",
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"created": int(time.time()),
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"owned_by": "openai",
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}
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for model in app.state.CONFIG["model_list"]
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],
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"object": "list",
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}
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@app.get("/model/info")
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async def get_model_list(user=Depends(get_admin_user)):
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return {"data": app.state.CONFIG["model_list"]}
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class AddLiteLLMModelForm(BaseModel):
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model_name: str
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litellm_params: dict
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model_config = ConfigDict(protected_namespaces=())
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@app.post("/model/new")
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async def add_model_to_config(
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form_data: AddLiteLLMModelForm, user=Depends(get_admin_user)
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):
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try:
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get_llm_provider(model=form_data.model_name)
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app.state.CONFIG["model_list"].append(form_data.model_dump())
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with open(LITELLM_CONFIG_DIR, "w") as file:
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yaml.dump(app.state.CONFIG, file)
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await restart_litellm()
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return {"message": MESSAGES.MODEL_ADDED(form_data.model_name)}
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except Exception as e:
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print(e)
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raise HTTPException(
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status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(e)
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)
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class DeleteLiteLLMModelForm(BaseModel):
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id: str
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@app.post("/model/delete")
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async def delete_model_from_config(
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form_data: DeleteLiteLLMModelForm, user=Depends(get_admin_user)
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):
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app.state.CONFIG["model_list"] = [
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model
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for model in app.state.CONFIG["model_list"]
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if model["model_name"] != form_data.id
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]
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with open(LITELLM_CONFIG_DIR, "w") as file:
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yaml.dump(app.state.CONFIG, file)
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await restart_litellm()
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return {"message": MESSAGES.MODEL_DELETED(form_data.id)}
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@app.api_route("/{path:path}", methods=["GET", "POST", "PUT", "DELETE"])
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async def proxy(path: str, request: Request, user=Depends(get_verified_user)):
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body = await request.body()
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url = f"http://localhost:{LITELLM_PROXY_PORT}"
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target_url = f"{url}/{path}"
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headers = {}
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# headers["Authorization"] = f"Bearer {key}"
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headers["Content-Type"] = "application/json"
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r = None
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try:
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r = requests.request(
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method=request.method,
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url=target_url,
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data=body,
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headers=headers,
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stream=True,
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)
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r.raise_for_status()
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# Check if response is SSE
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if "text/event-stream" in r.headers.get("Content-Type", ""):
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return StreamingResponse(
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r.iter_content(chunk_size=8192),
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status_code=r.status_code,
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headers=dict(r.headers),
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)
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else:
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response_data = r.json()
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return response_data
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except Exception as e:
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log.exception(e)
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error_detail = "Open WebUI: Server Connection Error"
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if r is not None:
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try:
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res = r.json()
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if "error" in res:
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error_detail = f"External: {res['error']['message'] if 'message' in res['error'] else res['error']}"
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except:
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error_detail = f"External: {e}"
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raise HTTPException(
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status_code=r.status_code if r else 500, detail=error_detail
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)
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