open-webui/backend/apps/openai/main.py
2024-03-18 01:11:48 -07:00

341 lines
10 KiB
Python

from fastapi import FastAPI, Request, Response, HTTPException, Depends
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import StreamingResponse, JSONResponse, FileResponse
import requests
import aiohttp
import asyncio
import json
from pydantic import BaseModel
from apps.web.models.users import Users
from constants import ERROR_MESSAGES
from utils.utils import (
decode_token,
get_current_user,
get_verified_user,
get_admin_user,
)
from config import (
OPENAI_API_BASE_URLS,
OPENAI_API_KEYS,
CACHE_DIR,
MODEL_FILTER_ENABLED,
MODEL_FILTER_LIST,
)
from typing import List, Optional
import hashlib
from pathlib import Path
app = FastAPI()
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
app.state.MODEL_FILTER_ENABLED = MODEL_FILTER_ENABLED
app.state.MODEL_FILTER_LIST = MODEL_FILTER_LIST
app.state.OPENAI_API_BASE_URLS = OPENAI_API_BASE_URLS
app.state.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()
else:
pass
response = await call_next(request)
return response
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.OPENAI_API_BASE_URLS}
@app.post("/urls/update")
async def update_openai_urls(form_data: UrlsUpdateForm, user=Depends(get_admin_user)):
app.state.OPENAI_API_BASE_URLS = form_data.urls
return {"OPENAI_API_BASE_URLS": app.state.OPENAI_API_BASE_URLS}
@app.get("/keys")
async def get_openai_keys(user=Depends(get_admin_user)):
return {"OPENAI_API_KEYS": app.state.OPENAI_API_KEYS}
@app.post("/keys/update")
async def update_openai_key(form_data: KeysUpdateForm, user=Depends(get_admin_user)):
app.state.OPENAI_API_KEYS = form_data.keys
return {"OPENAI_API_KEYS": app.state.OPENAI_API_KEYS}
@app.post("/audio/speech")
async def speech(request: Request, user=Depends(get_verified_user)):
idx = None
try:
idx = app.state.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.OPENAI_API_KEYS[idx]}"
headers["Content-Type"] = "application/json"
r = None
try:
r = requests.post(
url=f"{app.state.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:
print(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:
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):
try:
headers = {"Authorization": f"Bearer {key}"}
async with aiohttp.ClientSession() as session:
async with session.get(url, headers=headers) as response:
return await response.json()
except Exception as e:
# Handle connection error here
print(f"Connection error: {e}")
return None
def 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, "urlIdx": idx}
for model in models
if "api.openai.com" not in app.state.OPENAI_API_BASE_URLS[idx]
or "gpt" in model["id"]
]
)
return merged_list
async def get_all_models():
print("get_all_models")
if len(app.state.OPENAI_API_KEYS) == 1 and app.state.OPENAI_API_KEYS[0] == "":
models = {"data": []}
else:
tasks = [
fetch_url(f"{url}/models", app.state.OPENAI_API_KEYS[idx])
for idx, url in enumerate(app.state.OPENAI_API_BASE_URLS)
]
responses = await asyncio.gather(*tasks)
models = {
"data": merge_models_lists(
list(
map(
lambda response: response["data"] if response else None,
responses,
)
)
)
}
print(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_current_user)):
if url_idx == None:
models = await get_all_models()
if app.state.MODEL_FILTER_ENABLED:
if user.role == "user":
models["data"] = list(
filter(
lambda model: model["id"] in app.state.MODEL_FILTER_LIST,
models["data"],
)
)
return models
return models
else:
url = app.state.OPENAI_API_BASE_URLS[url_idx]
r = None
try:
r = requests.request(method="GET", url=f"{url}/models")
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:
print(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:
error_detail = f"External: {e}"
raise HTTPException(
status_code=r.status_code if r else 500,
detail=error_detail,
)
@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()
# 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:
body = body.decode("utf-8")
body = json.loads(body)
idx = app.state.MODELS[body.get("model")]["urlIdx"]
# 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
if body.get("model") == "gpt-4-vision-preview":
if "max_tokens" not in body:
body["max_tokens"] = 4000
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"]
# 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)
url = app.state.OPENAI_API_BASE_URLS[idx]
key = app.state.OPENAI_API_KEYS[idx]
target_url = f"{url}/{path}"
if key == "":
raise HTTPException(status_code=401, detail=ERROR_MESSAGES.API_KEY_NOT_FOUND)
headers = {}
headers["Authorization"] = f"Bearer {key}"
headers["Content-Type"] = "application/json"
r = None
try:
r = requests.request(
method=request.method,
url=target_url,
data=body,
headers=headers,
stream=True,
)
r.raise_for_status()
# 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:
response_data = r.json()
return response_data
except Exception as e:
print(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:
error_detail = f"External: {e}"
raise HTTPException(
status_code=r.status_code if r else 500, detail=error_detail
)