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