Merge pull request #1071 from open-webui/dev

0.1.110

.dockerignore

@@ -7,7 +7,6 @@ node_modules
 /package
 .env
 .env.*
-!.env.example
 vite.config.js.timestamp-*
 vite.config.ts.timestamp-*
 __pycache__

CHANGELOG.md

@@ -5,6 +5,18 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
+## [0.1.110] - 2024-03-06
+
+### Added
+
+- **🌐 Multiple OpenAI Servers Support**: Enjoy seamless integration with multiple OpenAI-compatible APIs, now supported natively.
+
+### Fixed
+
+- **🔍 OCR Issue**: Resolved PDF parsing issue caused by OCR malfunction.
+- **🚫 RAG Issue**: Fixed the RAG functionality, ensuring it operates smoothly.
+- **📄 "Add Docs" Model Button**: Addressed the non-functional behavior of the "Add Docs" model button.
+
 ## [0.1.109] - 2024-03-06
 
 ### Added

Dockerfile

@@ -53,6 +53,8 @@ WORKDIR /app/backend
 # install python dependencies
 COPY ./backend/requirements.txt ./requirements.txt
 
+RUN apt-get update && apt-get install ffmpeg libsm6 libxext6  -y
+
 RUN pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu --no-cache-dir
 RUN pip3 install -r requirements.txt --no-cache-dir
 

backend/apps/ollama/main.py

@@ -222,7 +222,7 @@ async def pull_model(
             r = requests.request(
                 method="POST",
                 url=f"{url}/api/pull",
-                data=form_data.model_dump_json(exclude_none=True),
+                data=form_data.model_dump_json(exclude_none=True).encode(),
                 stream=True,
             )
 
@@ -294,7 +294,7 @@ async def push_model(
             r = requests.request(
                 method="POST",
                 url=f"{url}/api/push",
-                data=form_data.model_dump_json(exclude_none=True),
+                data=form_data.model_dump_json(exclude_none=True).encode(),
             )
 
             r.raise_for_status()
@@ -356,7 +356,7 @@ async def create_model(
             r = requests.request(
                 method="POST",
                 url=f"{url}/api/create",
-                data=form_data.model_dump_json(exclude_none=True),
+                data=form_data.model_dump_json(exclude_none=True).encode(),
                 stream=True,
             )
 
@@ -419,7 +419,7 @@ async def copy_model(
         r = requests.request(
             method="POST",
             url=f"{url}/api/copy",
-            data=form_data.model_dump_json(exclude_none=True),
+            data=form_data.model_dump_json(exclude_none=True).encode(),
         )
         r.raise_for_status()
 
@@ -466,7 +466,7 @@ async def delete_model(
         r = requests.request(
             method="DELETE",
             url=f"{url}/api/delete",
-            data=form_data.model_dump_json(exclude_none=True),
+            data=form_data.model_dump_json(exclude_none=True).encode(),
         )
         r.raise_for_status()
 
@@ -506,7 +506,7 @@ async def show_model_info(form_data: ModelNameForm, user=Depends(get_current_use
         r = requests.request(
             method="POST",
             url=f"{url}/api/show",
-            data=form_data.model_dump_json(exclude_none=True),
+            data=form_data.model_dump_json(exclude_none=True).encode(),
         )
         r.raise_for_status()
 
@@ -558,7 +558,7 @@ async def generate_embeddings(
         r = requests.request(
             method="POST",
             url=f"{url}/api/embeddings",
-            data=form_data.model_dump_json(exclude_none=True),
+            data=form_data.model_dump_json(exclude_none=True).encode(),
         )
         r.raise_for_status()
 
@@ -644,7 +644,7 @@ async def generate_completion(
             r = requests.request(
                 method="POST",
                 url=f"{url}/api/generate",
-                data=form_data.model_dump_json(exclude_none=True),
+                data=form_data.model_dump_json(exclude_none=True).encode(),
                 stream=True,
             )
 
@@ -714,7 +714,7 @@ async def generate_chat_completion(
 
     r = None
 
-    print(form_data.model_dump_json(exclude_none=True))
+    print(form_data.model_dump_json(exclude_none=True).encode())
 
     def get_request():
         nonlocal form_data
@@ -744,7 +744,7 @@ async def generate_chat_completion(
             r = requests.request(
                 method="POST",
                 url=f"{url}/api/chat",
-                data=form_data.model_dump_json(exclude_none=True),
+                data=form_data.model_dump_json(exclude_none=True).encode(),
                 stream=True,
             )
 
@@ -756,6 +756,7 @@ async def generate_chat_completion(
                 headers=dict(r.headers),
             )
         except Exception as e:
+            print(e)
             raise e
 
     try:
@@ -843,7 +844,7 @@ async def generate_openai_chat_completion(
             r = requests.request(
                 method="POST",
                 url=f"{url}/v1/chat/completions",
-                data=form_data.model_dump_json(exclude_none=True),
+                data=form_data.model_dump_json(exclude_none=True).encode(),
                 stream=True,
             )
 

backend/apps/openai/main.py

@@ -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 +34,207 @@ 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 = {}
+
 
+@app.middleware("http")
+async def check_url(request: Request, call_next):
+    if len(app.state.MODELS) == 0:
+        await get_all_models()
+    else:
+        pass
 
-class UrlUpdateForm(BaseModel):
-    url: str
+    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"
+    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,
+            )
 
-    if app.state.OPENAI_API_KEY == "":
-        raise HTTPException(status_code=401, detail=ERROR_MESSAGES.API_KEY_NOT_FOUND)
+            r.raise_for_status()
 
-    body = await request.body()
+            # 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)
 
-    name = hashlib.sha256(body).hexdigest()
+            with open(file_body_path, "w") as f:
+                json.dump(json.loads(body.decode("utf-8")), f)
 
-    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")
+            # Return the saved file
+            return FileResponse(file_path)
 
-    # Check if the file already exists in the cache
-    if file_path.is_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)
 
-    headers = {}
-    headers["Authorization"] = f"Bearer {app.state.OPENAI_API_KEY}"
-    headers["Content-Type"] = "application/json"
 
+async def fetch_url(url, key):
     try:
-        print("openai")
-        r = requests.post(
-            url=target_url,
-            data=body,
-            headers=headers,
-            stream=True,
+        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 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 the saved file
-        return FileResponse(file_path)
+    return models
 
-    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)
+# , 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 +254,16 @@ 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 +285,7 @@ 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)

backend/apps/rag/main.py

@@ -425,7 +425,7 @@ def get_loader(filename: str, file_content_type: str, file_path: str):
     ]
 
     if file_ext == "pdf":
-        loader = PyPDFLoader(file_path)
+        loader = PyPDFLoader(file_path, extract_images=True)
     elif file_ext == "csv":
         loader = CSVLoader(file_path)
     elif file_ext == "rst":

backend/config.py

@@ -234,9 +234,25 @@ OLLAMA_BASE_URLS = [url.strip() for url in OLLAMA_BASE_URLS.split(";")]
 OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY", "")
 OPENAI_API_BASE_URL = os.environ.get("OPENAI_API_BASE_URL", "")
 
+if OPENAI_API_KEY == "":
+    OPENAI_API_KEY = "none"
+
 if OPENAI_API_BASE_URL == "":
     OPENAI_API_BASE_URL = "https://api.openai.com/v1"
 
+OPENAI_API_KEYS = os.environ.get("OPENAI_API_KEYS", "")
+OPENAI_API_KEYS = OPENAI_API_KEYS if OPENAI_API_KEYS != "" else OPENAI_API_KEY
+
+OPENAI_API_KEYS = [url.strip() for url in OPENAI_API_KEYS.split(";")]
+
+
+OPENAI_API_BASE_URLS = os.environ.get("OPENAI_API_BASE_URLS", "")
+OPENAI_API_BASE_URLS = (
+    OPENAI_API_BASE_URLS if OPENAI_API_BASE_URLS != "" else OPENAI_API_BASE_URL
+)
+
+OPENAI_API_BASE_URLS = [url.strip() for url in OPENAI_API_BASE_URL.split(";")]
+
 
 ####################################
 # WEBUI

backend/constants.py

@@ -41,6 +41,7 @@ class ERROR_MESSAGES(str, Enum):
     NOT_FOUND = "We could not find what you're looking for :/"
     USER_NOT_FOUND = "We could not find what you're looking for :/"
     API_KEY_NOT_FOUND = "Oops! It looks like there's a hiccup. The API key is missing. Please make sure to provide a valid API key to access this feature."
+
     MALICIOUS = "Unusual activities detected, please try again in a few minutes."
 
     PANDOC_NOT_INSTALLED = "Pandoc is not installed on the server. Please contact your administrator for assistance."
@@ -50,3 +51,4 @@ class ERROR_MESSAGES(str, Enum):
     RATE_LIMIT_EXCEEDED = "API rate limit exceeded"
 
     MODEL_NOT_FOUND = lambda name="": f"Model '{name}' was not found"
+    OPENAI_NOT_FOUND = lambda name="": f"OpenAI API was not found"

backend/requirements.txt

@@ -34,6 +34,8 @@ pandas
 openpyxl
 pyxlsb
 xlrd
+
+opencv-python-headless
 rapidocr-onnxruntime
 
 faster-whisper

package.json

 {
 	"name": "open-webui",
-	"version": "0.1.109",
+	"version": "0.1.110",
 	"private": true,
 	"scripts": {
 		"dev": "vite dev --host",

src/app.css

@@ -43,6 +43,10 @@ ol > li {
 	font-weight: 400;
 }
 
+li p {
+	display: inline;
+}
+
 ::-webkit-scrollbar-thumb {
 	--tw-border-opacity: 1;
 	background-color: rgba(217, 217, 227, 0.8);

src/lib/apis/openai/index.ts

 import { OPENAI_API_BASE_URL } from '$lib/constants';
 
-export const getOpenAIUrl = async (token: string = '') => {
+export const getOpenAIUrls = async (token: string = '') => {
 	let error = null;
 
-	const res = await fetch(`${OPENAI_API_BASE_URL}/url`, {
+	const res = await fetch(`${OPENAI_API_BASE_URL}/urls`, {
 		method: 'GET',
 		headers: {
 			Accept: 'application/json',
@@ -29,13 +29,13 @@ export const getOpenAIUrl = async (token: string = '') => {
 		throw error;
 	}
 
-	return res.OPENAI_API_BASE_URL;
+	return res.OPENAI_API_BASE_URLS;
 };
 
-export const updateOpenAIUrl = async (token: string = '', url: string) => {
+export const updateOpenAIUrls = async (token: string = '', urls: string[]) => {
 	let error = null;
 
-	const res = await fetch(`${OPENAI_API_BASE_URL}/url/update`, {
+	const res = await fetch(`${OPENAI_API_BASE_URL}/urls/update`, {
 		method: 'POST',
 		headers: {
 			Accept: 'application/json',
@@ -43,7 +43,7 @@ export const updateOpenAIUrl = async (token: string = '', url: string) => {
 			...(token && { authorization: `Bearer ${token}` })
 		},
 		body: JSON.stringify({
-			url: url
+			urls: urls
 		})
 	})
 		.then(async (res) => {
@@ -64,13 +64,13 @@ export const updateOpenAIUrl = async (token: string = '', url: string) => {
 		throw error;
 	}
 
-	return res.OPENAI_API_BASE_URL;
+	return res.OPENAI_API_BASE_URLS;
 };
 
-export const getOpenAIKey = async (token: string = '') => {
+export const getOpenAIKeys = async (token: string = '') => {
 	let error = null;
 
-	const res = await fetch(`${OPENAI_API_BASE_URL}/key`, {
+	const res = await fetch(`${OPENAI_API_BASE_URL}/keys`, {
 		method: 'GET',
 		headers: {
 			Accept: 'application/json',
@@ -96,13 +96,13 @@ export const getOpenAIKey = async (token: string = '') => {
 		throw error;
 	}
 
-	return res.OPENAI_API_KEY;
+	return res.OPENAI_API_KEYS;
 };
 
-export const updateOpenAIKey = async (token: string = '', key: string) => {
+export const updateOpenAIKeys = async (token: string = '', keys: string[]) => {
 	let error = null;
 
-	const res = await fetch(`${OPENAI_API_BASE_URL}/key/update`, {
+	const res = await fetch(`${OPENAI_API_BASE_URL}/keys/update`, {
 		method: 'POST',
 		headers: {
 			Accept: 'application/json',
@@ -110,7 +110,7 @@ export const updateOpenAIKey = async (token: string = '', key: string) => {
 			...(token && { authorization: `Bearer ${token}` })
 		},
 		body: JSON.stringify({
-			key: key
+			keys: keys
 		})
 	})
 		.then(async (res) => {
@@ -131,7 +131,7 @@ export const updateOpenAIKey = async (token: string = '', key: string) => {
 		throw error;
 	}
 
-	return res.OPENAI_API_KEY;
+	return res.OPENAI_API_KEYS;
 };
 
 export const getOpenAIModels = async (token: string = '') => {

src/lib/components/chat/Settings/Connections.svelte

@@ -4,7 +4,12 @@
 	const dispatch = createEventDispatcher();
 
 	import { getOllamaUrls, getOllamaVersion, updateOllamaUrls } from '$lib/apis/ollama';
-	import { getOpenAIKey, getOpenAIUrl, updateOpenAIKey, updateOpenAIUrl } from '$lib/apis/openai';
+	import {
+		getOpenAIKeys,
+		getOpenAIUrls,
+		updateOpenAIKeys,
+		updateOpenAIUrls
+	} from '$lib/apis/openai';
 	import { toast } from 'svelte-sonner';
 
 	export let getModels: Function;
@@ -16,12 +21,14 @@
 	let OPENAI_API_KEY = '';
 	let OPENAI_API_BASE_URL = '';
 
+	let OPENAI_API_KEYS = [''];
+	let OPENAI_API_BASE_URLS = [''];
+
 	let showOpenAI = false;
-	let showLiteLLM = false;
 
 	const updateOpenAIHandler = async () => {
-		OPENAI_API_BASE_URL = await updateOpenAIUrl(localStorage.token, OPENAI_API_BASE_URL);
-		OPENAI_API_KEY = await updateOpenAIKey(localStorage.token, OPENAI_API_KEY);
+		OPENAI_API_BASE_URLS = await updateOpenAIUrls(localStorage.token, OPENAI_API_BASE_URLS);
+		OPENAI_API_KEYS = await updateOpenAIKeys(localStorage.token, OPENAI_API_KEYS);
 
 		await models.set(await getModels());
 	};
@@ -43,8 +50,8 @@
 	onMount(async () => {
 		if ($user.role === 'admin') {
 			OLLAMA_BASE_URLS = await getOllamaUrls(localStorage.token);
-			OPENAI_API_BASE_URL = await getOpenAIUrl(localStorage.token);
-			OPENAI_API_KEY = await getOpenAIKey(localStorage.token);
+			OPENAI_API_BASE_URLS = await getOpenAIUrls(localStorage.token);
+			OPENAI_API_KEYS = await getOpenAIKeys(localStorage.token);
 		}
 	});
 </script>
@@ -71,37 +78,74 @@
 				</div>
 
 				{#if showOpenAI}
-					<div>
-						<div class=" mb-2.5 text-sm font-medium">API Key</div>
-						<div class="flex w-full">
-							<div class="flex-1">
-								<input
-									class="w-full rounded py-2 px-4 text-sm dark:text-gray-300 dark:bg-gray-800 outline-none"
-									placeholder="Enter OpenAI API Key"
-									bind:value={OPENAI_API_KEY}
-									autocomplete="off"
-								/>
-							</div>
-						</div>
-					</div>
+					<div class="flex flex-col gap-1">
+						{#each OPENAI_API_BASE_URLS as url, idx}
+							<div class="flex w-full gap-2">
+								<div class="flex-1">
+									<input
+										class="w-full rounded-lg py-2 px-4 text-sm dark:text-gray-300 dark:bg-gray-850 outline-none"
+										placeholder="API Base URL"
+										bind:value={url}
+										autocomplete="off"
+									/>
+								</div>
 
-					<div>
-						<div class=" mb-2.5 text-sm font-medium">API Base URL</div>
-						<div class="flex w-full">
-							<div class="flex-1">
-								<input
-									class="w-full rounded py-2 px-4 text-sm dark:text-gray-300 dark:bg-gray-800 outline-none"
-									placeholder="Enter OpenAI API Base URL"
-									bind:value={OPENAI_API_BASE_URL}
-									autocomplete="off"
-								/>
+								<div class="flex-1">
+									<input
+										class="w-full rounded-lg py-2 px-4 text-sm dark:text-gray-300 dark:bg-gray-850 outline-none"
+										placeholder="API Key"
+										bind:value={OPENAI_API_KEYS[idx]}
+										autocomplete="off"
+									/>
+								</div>
+								<div class="self-center flex items-center">
+									{#if idx === 0}
+										<button
+											class="px-1"
+											on:click={() => {
+												OPENAI_API_BASE_URLS = [...OPENAI_API_BASE_URLS, ''];
+												OPENAI_API_KEYS = [...OPENAI_API_KEYS, ''];
+											}}
+											type="button"
+										>
+											<svg
+												xmlns="http://www.w3.org/2000/svg"
+												viewBox="0 0 16 16"
+												fill="currentColor"
+												class="w-4 h-4"
+											>
+												<path
+													d="M8.75 3.75a.75.75 0 0 0-1.5 0v3.5h-3.5a.75.75 0 0 0 0 1.5h3.5v3.5a.75.75 0 0 0 1.5 0v-3.5h3.5a.75.75 0 0 0 0-1.5h-3.5v-3.5Z"
+												/>
+											</svg>
+										</button>
+									{:else}
+										<button
+											class="px-1"
+											on:click={() => {
+												OPENAI_API_BASE_URLS = OPENAI_API_BASE_URLS.filter(
+													(url, urlIdx) => idx !== urlIdx
+												);
+												OPENAI_API_KEYS = OPENAI_API_KEYS.filter((key, keyIdx) => idx !== keyIdx);
+											}}
+											type="button"
+										>
+											<svg
+												xmlns="http://www.w3.org/2000/svg"
+												viewBox="0 0 16 16"
+												fill="currentColor"
+												class="w-4 h-4"
+											>
+												<path d="M3.75 7.25a.75.75 0 0 0 0 1.5h8.5a.75.75 0 0 0 0-1.5h-8.5Z" />
+											</svg>
+										</button>
+									{/if}
+								</div>
 							</div>
-						</div>
-						<div class="mt-2 text-xs text-gray-400 dark:text-gray-500">
-							WebUI will make requests to <span class=" text-gray-200"
-								>'{OPENAI_API_BASE_URL}/chat'</span
-							>
-						</div>
+							<div class=" mb-1 text-xs text-gray-400 dark:text-gray-500">
+								WebUI will make requests to <span class=" text-gray-200">'{url}/models'</span>
+							</div>
+						{/each}
 					</div>
 				{/if}
 			</div>

src/lib/components/documents/AddDocModal.svelte

@@ -138,7 +138,9 @@
 						<button
 							class="w-full text-sm font-medium py-3 bg-gray-850 hover:bg-gray-800 text-center rounded-xl"
 							type="button"
-							on:click={uploadDocInputElement.click}
+							on:click={() => {
+								uploadDocInputElement.click();
+							}}
 						>
 							{#if inputFiles}
 								{inputFiles.length > 0 ? `${inputFiles.length}` : ''} document(s) selected.

src/routes/(app)/+layout.svelte

@@ -97,14 +97,11 @@
 					if (localDBChats.length === 0) {
 						await deleteDB('Chats');
 					}
-
-					console.log('localdb', localDBChats);
 				}
 
 				console.log(DB);
 			} catch (error) {
 				// IndexedDB Not Found
-				console.log('IDB Not Found');
 			}
 
 			console.log();