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from fastapi import FastAPI, Request, HTTPException, Depends | |
from fastapi.middleware.cors import CORSMiddleware | |
from fastapi.responses import StreamingResponse, FileResponse | |
import requests | |
import aiohttp | |
import asyncio | |
import json | |
import logging | |
from pydantic import BaseModel | |
from starlette.background import BackgroundTask | |
from apps.webui.models.models import Models | |
from constants import ERROR_MESSAGES | |
from utils.utils import ( | |
get_verified_user, | |
get_admin_user, | |
) | |
from utils.misc import ( | |
apply_model_params_to_body_openai, | |
apply_model_system_prompt_to_body, | |
) | |
from config import ( | |
SRC_LOG_LEVELS, | |
ENABLE_OPENAI_API, | |
AIOHTTP_CLIENT_TIMEOUT, | |
OPENAI_API_BASE_URLS, | |
OPENAI_API_KEYS, | |
CACHE_DIR, | |
ENABLE_MODEL_FILTER, | |
MODEL_FILTER_LIST, | |
AppConfig, | |
) | |
from typing import Optional, Literal, overload | |
import hashlib | |
from pathlib import Path | |
log = logging.getLogger(__name__) | |
log.setLevel(SRC_LOG_LEVELS["OPENAI"]) | |
app = FastAPI() | |
app.add_middleware( | |
CORSMiddleware, | |
allow_origins=["*"], | |
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=5) | |
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 "gpt" in model["id"] | |
] | |
) | |
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 | |
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: | |
response_data["data"] = list( | |
filter(lambda model: "gpt" in model["id"], response_data["data"]) | |
) | |
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, | |
} | |
# Convert the modified body back to JSON | |
payload = json.dumps(payload) | |
log.debug(payload) | |
url = app.state.config.OPENAI_API_BASE_URLS[idx] | |
key = app.state.config.OPENAI_API_KEYS[idx] | |
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 | |
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, | |
) | |
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() | |
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() | |