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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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|
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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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|
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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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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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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 FileResponse(file_path) |
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|
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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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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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|
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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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|
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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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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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|
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if num_keys != num_urls: |
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|
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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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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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|
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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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|
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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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|
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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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|
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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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|
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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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|
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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) |
|
r.raise_for_status() |
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|
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response_data = r.json() |
|
|
|
if "api.openai.com" in url: |
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|
|
response_data["data"] = [ |
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model |
|
for model in response_data["data"] |
|
if not any( |
|
name in model["id"] |
|
for name in [ |
|
"babbage", |
|
"dall-e", |
|
"davinci", |
|
"embedding", |
|
"tts", |
|
"whisper", |
|
] |
|
) |
|
] |
|
|
|
return response_data |
|
except Exception as e: |
|
log.exception(e) |
|
error_detail = "Open WebUI: Server Connection Error" |
|
if r is not None: |
|
try: |
|
res = r.json() |
|
if "error" in res: |
|
error_detail = f"External: {res['error']}" |
|
except Exception: |
|
error_detail = f"External: {e}" |
|
|
|
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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@app.post("/chat/completions") |
|
@app.post("/chat/completions/{url_idx}") |
|
async def generate_chat_completion( |
|
form_data: dict, |
|
url_idx: Optional[int] = None, |
|
user=Depends(get_verified_user), |
|
): |
|
idx = 0 |
|
payload = {**form_data} |
|
|
|
if "metadata" in payload: |
|
del payload["metadata"] |
|
|
|
model_id = form_data.get("model") |
|
model_info = Models.get_model_by_id(model_id) |
|
|
|
if model_info: |
|
if model_info.base_model_id: |
|
payload["model"] = model_info.base_model_id |
|
|
|
params = model_info.params.model_dump() |
|
payload = apply_model_params_to_body_openai(params, payload) |
|
payload = apply_model_system_prompt_to_body(params, payload, user) |
|
|
|
model = app.state.MODELS[payload.get("model")] |
|
idx = model["urlIdx"] |
|
|
|
if "pipeline" in model and model.get("pipeline"): |
|
payload["user"] = { |
|
"name": user.name, |
|
"id": user.id, |
|
"email": user.email, |
|
"role": user.role, |
|
} |
|
|
|
url = app.state.config.OPENAI_API_BASE_URLS[idx] |
|
key = app.state.config.OPENAI_API_KEYS[idx] |
|
is_o1 = payload["model"].lower().startswith("o1-") |
|
|
|
|
|
if "api.openai.com" not in url and not is_o1: |
|
if "max_completion_tokens" in payload: |
|
|
|
payload["max_tokens"] = payload["max_completion_tokens"] |
|
del payload["max_completion_tokens"] |
|
else: |
|
if is_o1 and "max_tokens" in payload: |
|
payload["max_completion_tokens"] = payload["max_tokens"] |
|
del payload["max_tokens"] |
|
if "max_tokens" in payload and "max_completion_tokens" in payload: |
|
del payload["max_tokens"] |
|
|
|
|
|
if is_o1 and payload["messages"][0]["role"] == "system": |
|
payload["messages"][0]["role"] = "user" |
|
|
|
|
|
payload = json.dumps(payload) |
|
|
|
log.debug(payload) |
|
|
|
headers = {} |
|
headers["Authorization"] = f"Bearer {key}" |
|
headers["Content-Type"] = "application/json" |
|
if "openrouter.ai" in app.state.config.OPENAI_API_BASE_URLS[idx]: |
|
headers["HTTP-Referer"] = "https://openwebui.com/" |
|
headers["X-Title"] = "Open WebUI" |
|
|
|
r = None |
|
session = None |
|
streaming = False |
|
response = None |
|
|
|
try: |
|
session = aiohttp.ClientSession( |
|
trust_env=True, timeout=aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT) |
|
) |
|
r = await session.request( |
|
method="POST", |
|
url=f"{url}/chat/completions", |
|
data=payload, |
|
headers=headers, |
|
) |
|
|
|
|
|
if "text/event-stream" in r.headers.get("Content-Type", ""): |
|
streaming = True |
|
return StreamingResponse( |
|
r.content, |
|
status_code=r.status, |
|
headers=dict(r.headers), |
|
background=BackgroundTask( |
|
cleanup_response, response=r, session=session |
|
), |
|
) |
|
else: |
|
try: |
|
response = await r.json() |
|
except Exception as e: |
|
log.error(e) |
|
response = await r.text() |
|
|
|
r.raise_for_status() |
|
return response |
|
except Exception as e: |
|
log.exception(e) |
|
error_detail = "Open WebUI: Server Connection Error" |
|
if isinstance(response, dict): |
|
if "error" in response: |
|
error_detail = f"{response['error']['message'] if 'message' in response['error'] else response['error']}" |
|
elif isinstance(response, str): |
|
error_detail = response |
|
|
|
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() |
|
|
|
|
|
@app.api_route("/{path:path}", methods=["GET", "POST", "PUT", "DELETE"]) |
|
async def proxy(path: str, request: Request, user=Depends(get_verified_user)): |
|
idx = 0 |
|
|
|
body = await request.body() |
|
|
|
url = app.state.config.OPENAI_API_BASE_URLS[idx] |
|
key = app.state.config.OPENAI_API_KEYS[idx] |
|
|
|
target_url = f"{url}/{path}" |
|
|
|
headers = {} |
|
headers["Authorization"] = f"Bearer {key}" |
|
headers["Content-Type"] = "application/json" |
|
|
|
r = None |
|
session = None |
|
streaming = False |
|
|
|
try: |
|
session = aiohttp.ClientSession(trust_env=True) |
|
r = await session.request( |
|
method=request.method, |
|
url=target_url, |
|
data=body, |
|
headers=headers, |
|
) |
|
|
|
r.raise_for_status() |
|
|
|
|
|
if "text/event-stream" in r.headers.get("Content-Type", ""): |
|
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() |
|
|