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- 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
- 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.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"
- 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"]
- ]
- )
- return merged_list
- 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 and "error" not in x, responses))
- models = {
- "data": merge_models_lists(
- list(map(lambda response: response["data"], responses))
- )
- }
- app.state.MODELS = {model["id"]: model for model in models["data"]}
- return models
- # , 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)):
- 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"
- 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, detail=error_detail)
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