open-webui/backend/open_webui/apps/openai/main.py

542 lines
16 KiB
Python

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 (
AIOHTTP_CLIENT_TIMEOUT,
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.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=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 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]
# Change max_completion_tokens to max_tokens (Backward compatible)
if "api.openai.com" not in url and not payload["model"].lower().startswith("o1-"):
if "max_completion_tokens" in payload:
payload["max_tokens"] = payload.pop("max_completion_tokens")
# 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()