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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
- 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")
- # 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=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:
- # 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():
- 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 []
- # 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
- @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:
- # 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,
- )
- @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-")
- # 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()
- @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()
- # 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()
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