mirror of
https://github.com/open-webui/open-webui
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ecb656af70
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422 lines
13 KiB
Python
422 lines
13 KiB
Python
from contextlib import asynccontextmanager
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from bs4 import BeautifulSoup
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import json
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import markdown
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import time
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import os
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import sys
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import logging
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import aiohttp
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import requests
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import mimetypes
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from fastapi import FastAPI, Request, Depends, status
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from fastapi.staticfiles import StaticFiles
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from fastapi import HTTPException
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from fastapi.middleware.wsgi import WSGIMiddleware
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from fastapi.middleware.cors import CORSMiddleware
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from starlette.exceptions import HTTPException as StarletteHTTPException
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from starlette.middleware.base import BaseHTTPMiddleware
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from starlette.responses import StreamingResponse, Response
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from apps.ollama.main import app as ollama_app
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from apps.openai.main import app as openai_app
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from apps.litellm.main import (
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app as litellm_app,
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start_litellm_background,
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shutdown_litellm_background,
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)
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from apps.audio.main import app as audio_app
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from apps.images.main import app as images_app
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from apps.rag.main import app as rag_app
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from apps.web.main import app as webui_app
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import asyncio
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from pydantic import BaseModel
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from typing import List
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from utils.utils import get_admin_user
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from apps.rag.utils import rag_messages
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from config import (
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CONFIG_DATA,
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WEBUI_NAME,
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WEBUI_URL,
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WEBUI_AUTH,
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ENV,
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VERSION,
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CHANGELOG,
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FRONTEND_BUILD_DIR,
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CACHE_DIR,
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STATIC_DIR,
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ENABLE_LITELLM,
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ENABLE_MODEL_FILTER,
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MODEL_FILTER_LIST,
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GLOBAL_LOG_LEVEL,
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SRC_LOG_LEVELS,
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WEBHOOK_URL,
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ENABLE_ADMIN_EXPORT,
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AppConfig,
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)
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from constants import ERROR_MESSAGES
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logging.basicConfig(stream=sys.stdout, level=GLOBAL_LOG_LEVEL)
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log = logging.getLogger(__name__)
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log.setLevel(SRC_LOG_LEVELS["MAIN"])
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class SPAStaticFiles(StaticFiles):
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async def get_response(self, path: str, scope):
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try:
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return await super().get_response(path, scope)
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except (HTTPException, StarletteHTTPException) as ex:
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if ex.status_code == 404:
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return await super().get_response("index.html", scope)
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else:
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raise ex
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print(
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rf"""
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___ __ __ _ _ _ ___
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/ _ \ _ __ ___ _ __ \ \ / /__| |__ | | | |_ _|
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| | | | '_ \ / _ \ '_ \ \ \ /\ / / _ \ '_ \| | | || |
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| |_| | |_) | __/ | | | \ V V / __/ |_) | |_| || |
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\___/| .__/ \___|_| |_| \_/\_/ \___|_.__/ \___/|___|
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v{VERSION} - building the best open-source AI user interface.
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https://github.com/open-webui/open-webui
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"""
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)
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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if ENABLE_LITELLM:
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asyncio.create_task(start_litellm_background())
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yield
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if ENABLE_LITELLM:
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await shutdown_litellm_background()
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app = FastAPI(
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docs_url="/docs" if ENV == "dev" else None, redoc_url=None, lifespan=lifespan
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)
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app.state.config = AppConfig()
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app.state.config.ENABLE_MODEL_FILTER = ENABLE_MODEL_FILTER
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app.state.config.MODEL_FILTER_LIST = MODEL_FILTER_LIST
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app.state.config.WEBHOOK_URL = WEBHOOK_URL
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origins = ["*"]
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# Custom middleware to add security headers
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# class SecurityHeadersMiddleware(BaseHTTPMiddleware):
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# async def dispatch(self, request: Request, call_next):
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# response: Response = await call_next(request)
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# response.headers["Cross-Origin-Opener-Policy"] = "same-origin"
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# response.headers["Cross-Origin-Embedder-Policy"] = "require-corp"
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# return response
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# app.add_middleware(SecurityHeadersMiddleware)
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class RAGMiddleware(BaseHTTPMiddleware):
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async def dispatch(self, request: Request, call_next):
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return_citations = False
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if request.method == "POST" and (
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"/api/chat" in request.url.path or "/chat/completions" in request.url.path
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):
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log.debug(f"request.url.path: {request.url.path}")
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# Read the original request body
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body = await request.body()
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# Decode body to string
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body_str = body.decode("utf-8")
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# Parse string to JSON
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data = json.loads(body_str) if body_str else {}
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return_citations = data.get("citations", False)
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if "citations" in data:
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del data["citations"]
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# Example: Add a new key-value pair or modify existing ones
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# data["modified"] = True # Example modification
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if "docs" in data:
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data = {**data}
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data["messages"], citations = rag_messages(
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docs=data["docs"],
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messages=data["messages"],
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template=rag_app.state.config.RAG_TEMPLATE,
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embedding_function=rag_app.state.EMBEDDING_FUNCTION,
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k=rag_app.state.config.TOP_K,
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reranking_function=rag_app.state.sentence_transformer_rf,
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r=rag_app.state.config.RELEVANCE_THRESHOLD,
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hybrid_search=rag_app.state.config.ENABLE_RAG_HYBRID_SEARCH,
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)
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del data["docs"]
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log.debug(
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f"data['messages']: {data['messages']}, citations: {citations}"
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)
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modified_body_bytes = json.dumps(data).encode("utf-8")
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# Replace the request body with the modified one
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request._body = modified_body_bytes
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# Set custom header to ensure content-length matches new body length
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request.headers.__dict__["_list"] = [
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(b"content-length", str(len(modified_body_bytes)).encode("utf-8")),
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*[
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(k, v)
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for k, v in request.headers.raw
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if k.lower() != b"content-length"
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],
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]
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response = await call_next(request)
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if return_citations:
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# Inject the citations into the response
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if isinstance(response, StreamingResponse):
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# If it's a streaming response, inject it as SSE event or NDJSON line
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content_type = response.headers.get("Content-Type")
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if "text/event-stream" in content_type:
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return StreamingResponse(
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self.openai_stream_wrapper(response.body_iterator, citations),
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)
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if "application/x-ndjson" in content_type:
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return StreamingResponse(
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self.ollama_stream_wrapper(response.body_iterator, citations),
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)
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return response
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async def _receive(self, body: bytes):
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return {"type": "http.request", "body": body, "more_body": False}
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async def openai_stream_wrapper(self, original_generator, citations):
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yield f"data: {json.dumps({'citations': citations})}\n\n"
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async for data in original_generator:
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yield data
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async def ollama_stream_wrapper(self, original_generator, citations):
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yield f"{json.dumps({'citations': citations})}\n"
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async for data in original_generator:
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yield data
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app.add_middleware(RAGMiddleware)
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app.add_middleware(
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CORSMiddleware,
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allow_origins=origins,
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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@app.middleware("http")
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async def check_url(request: Request, call_next):
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start_time = int(time.time())
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response = await call_next(request)
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process_time = int(time.time()) - start_time
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response.headers["X-Process-Time"] = str(process_time)
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return response
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@app.middleware("http")
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async def update_embedding_function(request: Request, call_next):
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response = await call_next(request)
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if "/embedding/update" in request.url.path:
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webui_app.state.EMBEDDING_FUNCTION = rag_app.state.EMBEDDING_FUNCTION
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return response
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app.mount("/litellm/api", litellm_app)
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app.mount("/ollama", ollama_app)
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app.mount("/openai/api", openai_app)
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app.mount("/images/api/v1", images_app)
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app.mount("/audio/api/v1", audio_app)
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app.mount("/rag/api/v1", rag_app)
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app.mount("/api/v1", webui_app)
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webui_app.state.EMBEDDING_FUNCTION = rag_app.state.EMBEDDING_FUNCTION
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@app.get("/api/config")
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async def get_app_config():
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# Checking and Handling the Absence of 'ui' in CONFIG_DATA
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default_locale = "en-US"
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if "ui" in CONFIG_DATA:
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default_locale = CONFIG_DATA["ui"].get("default_locale", "en-US")
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# The Rest of the Function Now Uses the Variables Defined Above
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return {
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"status": True,
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"name": WEBUI_NAME,
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"version": VERSION,
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"auth": WEBUI_AUTH,
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"default_locale": default_locale,
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"images": images_app.state.config.ENABLED,
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"default_models": webui_app.state.config.DEFAULT_MODELS,
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"default_prompt_suggestions": webui_app.state.config.DEFAULT_PROMPT_SUGGESTIONS,
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"trusted_header_auth": bool(webui_app.state.AUTH_TRUSTED_EMAIL_HEADER),
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"admin_export_enabled": ENABLE_ADMIN_EXPORT,
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}
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@app.get("/api/config/model/filter")
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async def get_model_filter_config(user=Depends(get_admin_user)):
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return {
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"enabled": app.state.config.ENABLE_MODEL_FILTER,
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"models": app.state.config.MODEL_FILTER_LIST,
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}
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class ModelFilterConfigForm(BaseModel):
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enabled: bool
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models: List[str]
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@app.post("/api/config/model/filter")
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async def update_model_filter_config(
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form_data: ModelFilterConfigForm, user=Depends(get_admin_user)
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):
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app.state.config.ENABLE_MODEL_FILTER = form_data.enabled
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app.state.config.MODEL_FILTER_LIST = form_data.models
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ollama_app.state.config.ENABLE_MODEL_FILTER = app.state.config.ENABLE_MODEL_FILTER
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ollama_app.state.config.MODEL_FILTER_LIST = app.state.config.MODEL_FILTER_LIST
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openai_app.state.config.ENABLE_MODEL_FILTER = app.state.config.ENABLE_MODEL_FILTER
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openai_app.state.config.MODEL_FILTER_LIST = app.state.config.MODEL_FILTER_LIST
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litellm_app.state.ENABLE_MODEL_FILTER = app.state.config.ENABLE_MODEL_FILTER
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litellm_app.state.MODEL_FILTER_LIST = app.state.config.MODEL_FILTER_LIST
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return {
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"enabled": app.state.config.ENABLE_MODEL_FILTER,
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"models": app.state.config.MODEL_FILTER_LIST,
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}
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@app.get("/api/webhook")
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async def get_webhook_url(user=Depends(get_admin_user)):
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return {
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"url": app.state.config.WEBHOOK_URL,
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}
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class UrlForm(BaseModel):
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url: str
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@app.post("/api/webhook")
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async def update_webhook_url(form_data: UrlForm, user=Depends(get_admin_user)):
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app.state.config.WEBHOOK_URL = form_data.url
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webui_app.state.WEBHOOK_URL = app.state.config.WEBHOOK_URL
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return {
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"url": app.state.config.WEBHOOK_URL,
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}
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@app.get("/api/version")
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async def get_app_config():
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return {
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"version": VERSION,
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}
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@app.get("/api/changelog")
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async def get_app_changelog():
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return {key: CHANGELOG[key] for idx, key in enumerate(CHANGELOG) if idx < 5}
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@app.get("/api/version/updates")
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async def get_app_latest_release_version():
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try:
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async with aiohttp.ClientSession() as session:
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async with session.get(
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"https://api.github.com/repos/open-webui/open-webui/releases/latest"
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) as response:
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response.raise_for_status()
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data = await response.json()
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latest_version = data["tag_name"]
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return {"current": VERSION, "latest": latest_version[1:]}
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except aiohttp.ClientError as e:
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raise HTTPException(
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status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
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detail=ERROR_MESSAGES.RATE_LIMIT_EXCEEDED,
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)
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@app.get("/manifest.json")
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async def get_manifest_json():
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return {
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"name": WEBUI_NAME,
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"short_name": WEBUI_NAME,
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"start_url": "/",
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"display": "standalone",
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"background_color": "#343541",
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"theme_color": "#343541",
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"orientation": "portrait-primary",
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"icons": [{"src": "/static/logo.png", "type": "image/png", "sizes": "500x500"}],
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}
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@app.get("/opensearch.xml")
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async def get_opensearch_xml():
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xml_content = rf"""
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<OpenSearchDescription xmlns="http://a9.com/-/spec/opensearch/1.1/" xmlns:moz="http://www.mozilla.org/2006/browser/search/">
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<ShortName>{WEBUI_NAME}</ShortName>
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<Description>Search {WEBUI_NAME}</Description>
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<InputEncoding>UTF-8</InputEncoding>
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<Image width="16" height="16" type="image/x-icon">{WEBUI_URL}/favicon.png</Image>
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<Url type="text/html" method="get" template="{WEBUI_URL}/?q={"{searchTerms}"}"/>
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<moz:SearchForm>{WEBUI_URL}</moz:SearchForm>
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</OpenSearchDescription>
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"""
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return Response(content=xml_content, media_type="application/xml")
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@app.get("/health")
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async def healthcheck():
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return {"status": True}
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app.mount("/static", StaticFiles(directory=STATIC_DIR), name="static")
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app.mount("/cache", StaticFiles(directory=CACHE_DIR), name="cache")
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if os.path.exists(FRONTEND_BUILD_DIR):
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mimetypes.add_type('text/javascript', '.js')
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app.mount(
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"/",
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SPAStaticFiles(directory=FRONTEND_BUILD_DIR, html=True),
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name="spa-static-files",
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)
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else:
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log.warning(
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f"Frontend build directory not found at '{FRONTEND_BUILD_DIR}'. Serving API only."
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)
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