mirror of
https://github.com/open-webui/open-webui
synced 2024-12-25 13:22:11 +00:00
555 lines
17 KiB
Python
555 lines
17 KiB
Python
import asyncio
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import hashlib
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import json
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import logging
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from pathlib import Path
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from typing import Literal, Optional, overload
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import aiohttp
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import requests
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from open_webui.apps.webui.models.models import Models
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from open_webui.config import (
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CACHE_DIR,
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CORS_ALLOW_ORIGIN,
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ENABLE_MODEL_FILTER,
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ENABLE_OPENAI_API,
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MODEL_FILTER_LIST,
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OPENAI_API_BASE_URLS,
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OPENAI_API_KEYS,
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AppConfig,
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)
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from open_webui.env import (
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AIOHTTP_CLIENT_TIMEOUT,
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AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST,
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)
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from open_webui.constants import ERROR_MESSAGES
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from open_webui.env import SRC_LOG_LEVELS
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from fastapi import Depends, FastAPI, HTTPException, Request
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.responses import FileResponse, StreamingResponse
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from pydantic import BaseModel
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from starlette.background import BackgroundTask
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from open_webui.utils.payload import (
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apply_model_params_to_body_openai,
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apply_model_system_prompt_to_body,
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)
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from open_webui.utils.utils import get_admin_user, get_verified_user
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log = logging.getLogger(__name__)
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log.setLevel(SRC_LOG_LEVELS["OPENAI"])
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app = FastAPI()
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app.add_middleware(
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CORSMiddleware,
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allow_origins=CORS_ALLOW_ORIGIN,
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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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app.state.config = AppConfig()
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app.state.config.ENABLE_MODEL_FILTER = ENABLE_MODEL_FILTER
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app.state.config.MODEL_FILTER_LIST = MODEL_FILTER_LIST
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app.state.config.ENABLE_OPENAI_API = ENABLE_OPENAI_API
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app.state.config.OPENAI_API_BASE_URLS = OPENAI_API_BASE_URLS
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app.state.config.OPENAI_API_KEYS = OPENAI_API_KEYS
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app.state.MODELS = {}
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@app.middleware("http")
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async def check_url(request: Request, call_next):
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if len(app.state.MODELS) == 0:
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await get_all_models()
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response = await call_next(request)
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return response
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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 {"ENABLE_OPENAI_API": app.state.config.ENABLE_OPENAI_API}
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class OpenAIConfigForm(BaseModel):
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enable_openai_api: Optional[bool] = None
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@app.post("/config/update")
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async def update_config(form_data: OpenAIConfigForm, user=Depends(get_admin_user)):
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app.state.config.ENABLE_OPENAI_API = form_data.enable_openai_api
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return {"ENABLE_OPENAI_API": app.state.config.ENABLE_OPENAI_API}
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class UrlsUpdateForm(BaseModel):
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urls: list[str]
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class KeysUpdateForm(BaseModel):
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keys: list[str]
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@app.get("/urls")
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async def get_openai_urls(user=Depends(get_admin_user)):
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return {"OPENAI_API_BASE_URLS": app.state.config.OPENAI_API_BASE_URLS}
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@app.post("/urls/update")
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async def update_openai_urls(form_data: UrlsUpdateForm, user=Depends(get_admin_user)):
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await get_all_models()
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app.state.config.OPENAI_API_BASE_URLS = form_data.urls
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return {"OPENAI_API_BASE_URLS": app.state.config.OPENAI_API_BASE_URLS}
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@app.get("/keys")
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async def get_openai_keys(user=Depends(get_admin_user)):
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return {"OPENAI_API_KEYS": app.state.config.OPENAI_API_KEYS}
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@app.post("/keys/update")
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async def update_openai_key(form_data: KeysUpdateForm, user=Depends(get_admin_user)):
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app.state.config.OPENAI_API_KEYS = form_data.keys
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return {"OPENAI_API_KEYS": app.state.config.OPENAI_API_KEYS}
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@app.post("/audio/speech")
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async def speech(request: Request, user=Depends(get_verified_user)):
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idx = None
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try:
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idx = app.state.config.OPENAI_API_BASE_URLS.index("https://api.openai.com/v1")
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body = await request.body()
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name = hashlib.sha256(body).hexdigest()
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SPEECH_CACHE_DIR = Path(CACHE_DIR).joinpath("./audio/speech/")
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SPEECH_CACHE_DIR.mkdir(parents=True, exist_ok=True)
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file_path = SPEECH_CACHE_DIR.joinpath(f"{name}.mp3")
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file_body_path = SPEECH_CACHE_DIR.joinpath(f"{name}.json")
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# Check if the file already exists in the cache
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if file_path.is_file():
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return FileResponse(file_path)
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headers = {}
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headers["Authorization"] = f"Bearer {app.state.config.OPENAI_API_KEYS[idx]}"
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headers["Content-Type"] = "application/json"
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if "openrouter.ai" in app.state.config.OPENAI_API_BASE_URLS[idx]:
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headers["HTTP-Referer"] = "https://openwebui.com/"
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headers["X-Title"] = "Open WebUI"
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r = None
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try:
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r = requests.post(
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url=f"{app.state.config.OPENAI_API_BASE_URLS[idx]}/audio/speech",
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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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# Save the streaming content to a file
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with open(file_path, "wb") as f:
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for chunk in r.iter_content(chunk_size=8192):
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f.write(chunk)
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with open(file_body_path, "w") as f:
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json.dump(json.loads(body.decode("utf-8")), f)
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# Return the saved file
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return FileResponse(file_path)
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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 Exception:
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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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except ValueError:
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raise HTTPException(status_code=401, detail=ERROR_MESSAGES.OPENAI_NOT_FOUND)
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async def fetch_url(url, key):
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timeout = aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST)
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try:
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headers = {"Authorization": f"Bearer {key}"}
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async with aiohttp.ClientSession(timeout=timeout, trust_env=True) as session:
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async with session.get(url, headers=headers) as response:
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return await response.json()
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except Exception as e:
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# Handle connection error here
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log.error(f"Connection error: {e}")
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return None
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async def cleanup_response(
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response: Optional[aiohttp.ClientResponse],
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session: Optional[aiohttp.ClientSession],
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):
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if response:
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response.close()
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if session:
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await session.close()
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def merge_models_lists(model_lists):
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log.debug(f"merge_models_lists {model_lists}")
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merged_list = []
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for idx, models in enumerate(model_lists):
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if models is not None and "error" not in models:
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merged_list.extend(
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[
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{
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**model,
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"name": model.get("name", model["id"]),
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"owned_by": "openai",
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"openai": model,
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"urlIdx": idx,
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}
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for model in models
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if "api.openai.com"
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not in app.state.config.OPENAI_API_BASE_URLS[idx]
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or not any(
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name in model["id"]
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for name in [
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"babbage",
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"dall-e",
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"davinci",
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"embedding",
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"tts",
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"whisper",
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]
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)
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]
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)
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return merged_list
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def is_openai_api_disabled():
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return not app.state.config.ENABLE_OPENAI_API
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async def get_all_models_raw() -> list:
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if is_openai_api_disabled():
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return []
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# Check if API KEYS length is same than API URLS length
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num_urls = len(app.state.config.OPENAI_API_BASE_URLS)
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num_keys = len(app.state.config.OPENAI_API_KEYS)
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if num_keys != num_urls:
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# if there are more keys than urls, remove the extra keys
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if num_keys > num_urls:
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new_keys = app.state.config.OPENAI_API_KEYS[:num_urls]
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app.state.config.OPENAI_API_KEYS = new_keys
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# if there are more urls than keys, add empty keys
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else:
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app.state.config.OPENAI_API_KEYS += [""] * (num_urls - num_keys)
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tasks = [
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fetch_url(f"{url}/models", app.state.config.OPENAI_API_KEYS[idx])
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for idx, url in enumerate(app.state.config.OPENAI_API_BASE_URLS)
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]
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responses = await asyncio.gather(*tasks)
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log.debug(f"get_all_models:responses() {responses}")
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return responses
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@overload
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async def get_all_models(raw: Literal[True]) -> list: ...
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@overload
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async def get_all_models(raw: Literal[False] = False) -> dict[str, list]: ...
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async def get_all_models(raw=False) -> dict[str, list] | list:
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log.info("get_all_models()")
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if is_openai_api_disabled():
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return [] if raw else {"data": []}
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responses = await get_all_models_raw()
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if raw:
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return responses
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def extract_data(response):
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if response and "data" in response:
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return response["data"]
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if isinstance(response, list):
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return response
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return None
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models = {"data": merge_models_lists(map(extract_data, responses))}
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log.debug(f"models: {models}")
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app.state.MODELS = {model["id"]: model for model in models["data"]}
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return models
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@app.get("/models")
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@app.get("/models/{url_idx}")
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async def get_models(url_idx: Optional[int] = None, user=Depends(get_verified_user)):
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if url_idx is None:
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models = await get_all_models()
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if app.state.config.ENABLE_MODEL_FILTER:
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if user.role == "user":
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models["data"] = list(
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filter(
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lambda model: model["id"] in app.state.config.MODEL_FILTER_LIST,
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models["data"],
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)
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)
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return models
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return models
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else:
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url = app.state.config.OPENAI_API_BASE_URLS[url_idx]
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key = app.state.config.OPENAI_API_KEYS[url_idx]
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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(method="GET", url=f"{url}/models", headers=headers)
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r.raise_for_status()
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response_data = r.json()
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if "api.openai.com" in url:
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# Filter the response data
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response_data["data"] = [
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model
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for model in response_data["data"]
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if not any(
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name in model["id"]
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for name in [
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"babbage",
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"dall-e",
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"davinci",
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"embedding",
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"tts",
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"whisper",
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]
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)
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]
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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']}"
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except Exception:
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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,
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detail=error_detail,
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)
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@app.post("/chat/completions")
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@app.post("/chat/completions/{url_idx}")
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async def generate_chat_completion(
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form_data: dict,
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url_idx: Optional[int] = None,
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user=Depends(get_verified_user),
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):
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idx = 0
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payload = {**form_data}
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if "metadata" in payload:
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del payload["metadata"]
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model_id = form_data.get("model")
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model_info = Models.get_model_by_id(model_id)
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if model_info:
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if model_info.base_model_id:
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payload["model"] = model_info.base_model_id
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params = model_info.params.model_dump()
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payload = apply_model_params_to_body_openai(params, payload)
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payload = apply_model_system_prompt_to_body(params, payload, user)
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model = app.state.MODELS[payload.get("model")]
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idx = model["urlIdx"]
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if "pipeline" in model and model.get("pipeline"):
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payload["user"] = {
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"name": user.name,
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"id": user.id,
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"email": user.email,
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"role": user.role,
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}
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url = app.state.config.OPENAI_API_BASE_URLS[idx]
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key = app.state.config.OPENAI_API_KEYS[idx]
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is_o1 = payload["model"].lower().startswith("o1-")
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# Change max_completion_tokens to max_tokens (Backward compatible)
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if "api.openai.com" not in url and not is_o1:
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if "max_completion_tokens" in payload:
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# Remove "max_completion_tokens" from the payload
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payload["max_tokens"] = payload["max_completion_tokens"]
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del payload["max_completion_tokens"]
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else:
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if is_o1 and "max_tokens" in payload:
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payload["max_completion_tokens"] = payload["max_tokens"]
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del payload["max_tokens"]
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if "max_tokens" in payload and "max_completion_tokens" in payload:
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del payload["max_tokens"]
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# Fix: O1 does not support the "system" parameter, Modify "system" to "user"
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if is_o1 and payload["messages"][0]["role"] == "system":
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payload["messages"][0]["role"] = "user"
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# Convert the modified body back to JSON
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payload = json.dumps(payload)
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log.debug(payload)
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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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if "openrouter.ai" in app.state.config.OPENAI_API_BASE_URLS[idx]:
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headers["HTTP-Referer"] = "https://openwebui.com/"
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headers["X-Title"] = "Open WebUI"
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r = None
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session = None
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streaming = False
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response = None
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try:
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session = aiohttp.ClientSession(
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trust_env=True, timeout=aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT)
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)
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r = await session.request(
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method="POST",
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url=f"{url}/chat/completions",
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data=payload,
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headers=headers,
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)
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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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streaming = True
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return StreamingResponse(
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r.content,
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status_code=r.status,
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headers=dict(r.headers),
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background=BackgroundTask(
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cleanup_response, response=r, session=session
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),
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)
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else:
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try:
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response = await r.json()
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except Exception as e:
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log.error(e)
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response = await r.text()
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r.raise_for_status()
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return response
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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 isinstance(response, dict):
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if "error" in response:
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error_detail = f"{response['error']['message'] if 'message' in response['error'] else response['error']}"
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elif isinstance(response, str):
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error_detail = response
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raise HTTPException(status_code=r.status if r else 500, detail=error_detail)
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finally:
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if not streaming and session:
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if r:
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r.close()
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await session.close()
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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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idx = 0
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body = await request.body()
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url = app.state.config.OPENAI_API_BASE_URLS[idx]
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key = app.state.config.OPENAI_API_KEYS[idx]
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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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session = None
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streaming = False
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try:
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session = aiohttp.ClientSession(trust_env=True)
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r = await session.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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)
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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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streaming = True
|
|
return StreamingResponse(
|
|
r.content,
|
|
status_code=r.status,
|
|
headers=dict(r.headers),
|
|
background=BackgroundTask(
|
|
cleanup_response, response=r, session=session
|
|
),
|
|
)
|
|
else:
|
|
response_data = await r.json()
|
|
return response_data
|
|
except Exception as e:
|
|
log.exception(e)
|
|
error_detail = "Open WebUI: Server Connection Error"
|
|
if r is not None:
|
|
try:
|
|
res = await r.json()
|
|
print(res)
|
|
if "error" in res:
|
|
error_detail = f"External: {res['error']['message'] if 'message' in res['error'] else res['error']}"
|
|
except Exception:
|
|
error_detail = f"External: {e}"
|
|
raise HTTPException(status_code=r.status if r else 500, detail=error_detail)
|
|
finally:
|
|
if not streaming and session:
|
|
if r:
|
|
r.close()
|
|
await session.close()
|