| | 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 |
| |
|
| | from open_webui.constants import ERROR_MESSAGES |
| | from open_webui.env import 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() |
| | 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 = {} |
| |
|
| |
|
| | @app.middleware("http") |
| | 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 |
| |
|
| |
|
| | @app.get("/config") |
| | 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 |
| |
|
| |
|
| | @app.post("/config/update") |
| | 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] |
| |
|
| |
|
| | @app.get("/urls") |
| | async def get_openai_urls(user=Depends(get_admin_user)): |
| | return {"OPENAI_API_BASE_URLS": app.state.config.OPENAI_API_BASE_URLS} |
| |
|
| |
|
| | @app.post("/urls/update") |
| | 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} |
| |
|
| |
|
| | @app.get("/keys") |
| | async def get_openai_keys(user=Depends(get_admin_user)): |
| | return {"OPENAI_API_KEYS": app.state.config.OPENAI_API_KEYS} |
| |
|
| |
|
| | @app.post("/keys/update") |
| | 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} |
| |
|
| |
|
| | @app.post("/audio/speech") |
| | 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") |
| |
|
| | |
| | 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() |
| |
|
| | |
| | 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 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=3) |
| | 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: |
| | |
| | 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(): |
| | api_keys = app.state.config.OPENAI_API_KEYS |
| | no_keys = len(api_keys) == 1 and api_keys[0] == "" |
| | return no_keys or not app.state.config.ENABLE_OPENAI_API |
| |
|
| |
|
| | async def get_all_models_raw() -> list: |
| | if is_openai_api_disabled(): |
| | return [] |
| |
|
| | |
| | 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 num_keys > num_urls: |
| | new_keys = app.state.config.OPENAI_API_KEYS[:num_urls] |
| | app.state.config.OPENAI_API_KEYS = new_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 |
| |
|
| |
|
| | @overload |
| | async def get_all_models(raw: Literal[True]) -> list: ... |
| |
|
| |
|
| | @overload |
| | 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 |
| |
|
| |
|
| | @app.get("/models") |
| | @app.get("/models/{url_idx}") |
| | 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: |
| | |
| | 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, |
| | ) |
| |
|
| |
|
| | @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() |
| |
|