forked from open-webui/open-webui
feat: multiple openai apis
This commit is contained in:
Timothy J. Baek
parent
51d509bafb
commit
c255cba198
6 changed files with 277 additions and 143 deletions
|
|
@ -3,7 +3,10 @@ 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
|
||||
|
||||
|
||||
|
|
@ -15,7 +18,9 @@ from utils.utils import (
|
|||
get_verified_user,
|
||||
get_admin_user,
|
||||
)
|
||||
from config import OPENAI_API_BASE_URL, OPENAI_API_KEY, CACHE_DIR
|
||||
from config import OPENAI_API_BASE_URLS, OPENAI_API_KEYS, CACHE_DIR
|
||||
from typing import List, Optional
|
||||
|
||||
|
||||
import hashlib
|
||||
from pathlib import Path
|
||||
|
|
@ -29,116 +34,208 @@ app.add_middleware(
|
|||
allow_headers=["*"],
|
||||
)
|
||||
|
||||
app.state.OPENAI_API_BASE_URL = OPENAI_API_BASE_URL
|
||||
app.state.OPENAI_API_KEY = OPENAI_API_KEY
|
||||
app.state.OPENAI_API_BASE_URLS = OPENAI_API_BASE_URLS
|
||||
app.state.OPENAI_API_KEYS = OPENAI_API_KEYS
|
||||
|
||||
app.state.MODELS = {}
|
||||
|
||||
|
||||
class UrlUpdateForm(BaseModel):
|
||||
url: str
|
||||
@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 KeyUpdateForm(BaseModel):
|
||||
key: str
|
||||
class UrlsUpdateForm(BaseModel):
|
||||
urls: List[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}
|
||||
class KeysUpdateForm(BaseModel):
|
||||
keys: List[str]
|
||||
|
||||
|
||||
@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}
|
||||
@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.get("/key")
|
||||
async def get_openai_key(user=Depends(get_admin_user)):
|
||||
return {"OPENAI_API_KEY": app.state.OPENAI_API_KEY}
|
||||
@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.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}
|
||||
@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)):
|
||||
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()
|
||||
|
||||
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_KEY}"
|
||||
headers["Content-Type"] = "application/json"
|
||||
|
||||
idx = None
|
||||
try:
|
||||
print("openai")
|
||||
r = requests.post(
|
||||
url=target_url,
|
||||
data=body,
|
||||
headers=headers,
|
||||
stream=True,
|
||||
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"
|
||||
|
||||
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, 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):
|
||||
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"]
|
||||
]
|
||||
)
|
||||
|
||||
r.raise_for_status()
|
||||
return merged_list
|
||||
|
||||
# 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)
|
||||
async def get_all_models():
|
||||
print("get_all_models")
|
||||
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)
|
||||
responses = list(filter(lambda x: x is not None, responses))
|
||||
|
||||
# Return the saved file
|
||||
return FileResponse(file_path)
|
||||
models = {
|
||||
"data": merge_models_lists(
|
||||
list(map(lambda response: response["data"], responses))
|
||||
)
|
||||
}
|
||||
app.state.MODELS = {model["id"]: model for model in models["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}"
|
||||
return models
|
||||
|
||||
raise HTTPException(status_code=r.status_code, detail=error_detail)
|
||||
|
||||
# , user=Depends(get_current_user)
|
||||
@app.get("/models")
|
||||
@app.get("/models/{url_idx}")
|
||||
async def get_models(url_idx: Optional[int] = None):
|
||||
if url_idx == None:
|
||||
return await get_all_models()
|
||||
else:
|
||||
url = app.state.OPENAI_API_BASE_URLS[url_idx]
|
||||
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)):
|
||||
target_url = f"{app.state.OPENAI_API_BASE_URL}/{path}"
|
||||
print(target_url, app.state.OPENAI_API_KEY)
|
||||
|
||||
if app.state.OPENAI_API_KEY == "":
|
||||
raise HTTPException(status_code=401, detail=ERROR_MESSAGES.API_KEY_NOT_FOUND)
|
||||
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":
|
||||
|
|
@ -158,8 +255,16 @@ async def proxy(path: str, request: Request, user=Depends(get_verified_user)):
|
|||
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 {app.state.OPENAI_API_KEY}"
|
||||
headers["Authorization"] = f"Bearer {key}"
|
||||
headers["Content-Type"] = "application/json"
|
||||
|
||||
try:
|
||||
|
|
@ -181,21 +286,7 @@ async def proxy(path: str, request: Request, user=Depends(get_verified_user)):
|
|||
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 "api.openai.com" in app.state.OPENAI_API_BASE_URL and path == "models":
|
||||
response_data["data"] = list(
|
||||
filter(lambda model: "gpt" in model["id"], response_data["data"])
|
||||
)
|
||||
|
||||
return response_data
|
||||
except Exception as e:
|
||||
print(e)
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue