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