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

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from fastapi import FastAPI, Request, Response, HTTPException, Depends
from fastapi.middleware.cors import CORSMiddleware
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from fastapi.responses import StreamingResponse, JSONResponse, FileResponse
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import requests
import json
from pydantic import BaseModel
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from apps.web.models.users import Users
from constants import ERROR_MESSAGES
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from utils.utils import (
decode_token,
get_current_user,
get_verified_user,
get_admin_user,
)
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from config import OPENAI_API_BASE_URL, OPENAI_API_KEY, CACHE_DIR
import hashlib
from pathlib import Path
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app = FastAPI()
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
app.state.OPENAI_API_BASE_URL = OPENAI_API_BASE_URL
app.state.OPENAI_API_KEY = OPENAI_API_KEY
class UrlUpdateForm(BaseModel):
url: str
class KeyUpdateForm(BaseModel):
key: str
@app.get("/url")
async def get_openai_url(user=Depends(get_admin_user)):
return {"OPENAI_API_BASE_URL": app.state.OPENAI_API_BASE_URL}
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@app.post("/url/update")
async def update_openai_url(form_data: UrlUpdateForm, user=Depends(get_admin_user)):
app.state.OPENAI_API_BASE_URL = form_data.url
return {"OPENAI_API_BASE_URL": app.state.OPENAI_API_BASE_URL}
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@app.get("/key")
async def get_openai_key(user=Depends(get_admin_user)):
return {"OPENAI_API_KEY": app.state.OPENAI_API_KEY}
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@app.post("/key/update")
async def update_openai_key(form_data: KeyUpdateForm, user=Depends(get_admin_user)):
app.state.OPENAI_API_KEY = form_data.key
return {"OPENAI_API_KEY": app.state.OPENAI_API_KEY}
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@app.post("/audio/speech")
async def speech(request: Request, user=Depends(get_verified_user)):
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target_url = f"{app.state.OPENAI_API_BASE_URL}/audio/speech"
if app.state.OPENAI_API_KEY == "":
raise HTTPException(status_code=401, detail=ERROR_MESSAGES.API_KEY_NOT_FOUND)
body = await request.body()
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name = hashlib.sha256(body).hexdigest()
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SPEECH_CACHE_DIR = Path(CACHE_DIR).joinpath("./audio/speech/")
SPEECH_CACHE_DIR.mkdir(parents=True, exist_ok=True)
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file_path = SPEECH_CACHE_DIR.joinpath(f"{name}.mp3")
file_body_path = SPEECH_CACHE_DIR.joinpath(f"{name}.json")
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# 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.OPENAI_API_KEY}"
headers["Content-Type"] = "application/json"
try:
print("openai")
r = requests.post(
url=target_url,
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)
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with open(file_body_path, "w") as f:
json.dump(json.loads(body.decode("utf-8")), f)
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# Return the saved file
return FileResponse(file_path)
except Exception as e:
print(e)
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error_detail = "Open WebUI: Server Connection Error"
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if r is not None:
try:
res = r.json()
if "error" in res:
error_detail = f"External: {res['error']}"
except:
error_detail = f"External: {e}"
raise HTTPException(status_code=r.status_code, detail=error_detail)
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@app.api_route("/{path:path}", methods=["GET", "POST", "PUT", "DELETE"])
async def proxy(path: str, request: Request, user=Depends(get_verified_user)):
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target_url = f"{app.state.OPENAI_API_BASE_URL}/{path}"
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print(target_url, app.state.OPENAI_API_KEY)
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if app.state.OPENAI_API_KEY == "":
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raise HTTPException(status_code=401, detail=ERROR_MESSAGES.API_KEY_NOT_FOUND)
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body = await request.body()
# TODO: Remove below after gpt-4-vision fix from Open AI
# Try to decode the body of the request from bytes to a UTF-8 string (Require add max_token to fix gpt-4-vision)
try:
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body = body.decode("utf-8")
body = json.loads(body)
# Check if the model is "gpt-4-vision-preview" and set "max_tokens" to 4000
# This is a workaround until OpenAI fixes the issue with this model
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if body.get("model") == "gpt-4-vision-preview":
if "max_tokens" not in body:
body["max_tokens"] = 4000
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print("Modified body_dict:", body)
# Fix for ChatGPT calls failing because the num_ctx key is in body
if "num_ctx" in body:
# If 'num_ctx' is in the dictionary, delete it
# Leaving it there generates an error with the
# OpenAI API (Feb 2024)
del body["num_ctx"]
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# Convert the modified body back to JSON
body = json.dumps(body)
except json.JSONDecodeError as e:
print("Error loading request body into a dictionary:", e)
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headers = {}
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headers["Authorization"] = f"Bearer {app.state.OPENAI_API_KEY}"
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headers["Content-Type"] = "application/json"
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try:
r = requests.request(
method=request.method,
url=target_url,
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data=body,
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headers=headers,
stream=True,
)
r.raise_for_status()
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# Check if response is SSE
if "text/event-stream" in r.headers.get("Content-Type", ""):
return StreamingResponse(
r.iter_content(chunk_size=8192),
status_code=r.status_code,
headers=dict(r.headers),
)
else:
# For non-SSE, read the response and return it
# response_data = (
# r.json()
# if r.headers.get("Content-Type", "")
# == "application/json"
# else r.text
# )
response_data = r.json()
if "openai" in app.state.OPENAI_API_BASE_URL and path == "models":
response_data["data"] = list(
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filter(lambda model: "gpt" in model["id"], response_data["data"])
)
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return response_data
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except Exception as e:
print(e)
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error_detail = "Open WebUI: Server Connection Error"
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if r is not None:
try:
res = r.json()
if "error" in res:
error_detail = f"External: {res['error']}"
except:
error_detail = f"External: {e}"
raise HTTPException(status_code=r.status_code, detail=error_detail)