Merge branch 'refs/heads/dev' into feat/sqlalchemy-instead-of-peewee

# Conflicts:
#	backend/requirements.txt

.github/dependabot.disabled → .github/dependabot.yml

@@ -4,6 +4,7 @@ updates:
     directory: '/backend'
     schedule:
       interval: weekly
+    target-branch: 'dev'
   - package-ecosystem: 'github-actions'
     directory: '/'
     schedule:

CHANGELOG.md

@@ -5,6 +5,23 @@ 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).
 
+## [0.3.7] - 2024-06-29
+
+### Added
+
+- **🌐 Enhanced Internationalization (i18n)**: Newly introduced Indonesian translation, and updated translations for Turkish, Chinese, and Catalan languages to improve user accessibility.
+
+### Fixed
+
+- **🕵️‍♂️ Browser Language Detection**: Corrected the issue where the application was not properly detecting and adapting to the browser's language settings.
+- **🔐 OIDC Admin Role Assignment**: Fixed a bug where the admin role was not being assigned to the first user who signed up via OpenID Connect (OIDC).
+- **💬 Chat/Completions Endpoint**: Resolved an issue where the chat/completions endpoint was non-functional when the stream option was set to False.
+- **🚫 'WEBUI_AUTH' Configuration**: Addressed the problem where setting 'WEBUI_AUTH' to False was not being applied correctly.
+
+### Changed
+
+- **📦 Dependency Update**: Upgraded 'authlib' from version 1.3.0 to 1.3.1 to ensure better security and performance enhancements.
+
 ## [0.3.6] - 2024-06-27
 
 ### Added

backend/apps/audio/main.py

@@ -14,7 +14,6 @@ from fastapi import (
 from fastapi.responses import StreamingResponse, JSONResponse, FileResponse
 
 from fastapi.middleware.cors import CORSMiddleware
-from faster_whisper import WhisperModel
 from pydantic import BaseModel
 
 import uuid
@@ -277,6 +276,8 @@ def transcribe(
             f.close()
 
         if app.state.config.STT_ENGINE == "":
+            from faster_whisper import WhisperModel
+
             whisper_kwargs = {
                 "model_size_or_path": WHISPER_MODEL,
                 "device": whisper_device_type,

backend/apps/images/main.py

@@ -12,7 +12,6 @@ from fastapi import (
     Form,
 )
 from fastapi.middleware.cors import CORSMiddleware
-from faster_whisper import WhisperModel
 
 from constants import ERROR_MESSAGES
 from utils.utils import (

backend/apps/ollama/main.py

@@ -153,7 +153,7 @@ async def cleanup_response(
         await session.close()
 
 
-async def post_streaming_url(url: str, payload: str):
+async def post_streaming_url(url: str, payload: str, stream: bool = True):
     r = None
     try:
         session = aiohttp.ClientSession(
@@ -162,12 +162,20 @@ async def post_streaming_url(url: str, payload: str):
         r = await session.post(url, data=payload)
         r.raise_for_status()
 
+        if stream:
             return StreamingResponse(
                 r.content,
                 status_code=r.status,
                 headers=dict(r.headers),
-            background=BackgroundTask(cleanup_response, response=r, session=session),
+                background=BackgroundTask(
+                    cleanup_response, response=r, session=session
+                ),
             )
+        else:
+            res = await r.json()
+            await cleanup_response(r, session)
+            return res
+
     except Exception as e:
         error_detail = "Open WebUI: Server Connection Error"
         if r is not None:
@@ -963,7 +971,11 @@ async def generate_openai_chat_completion(
     url = app.state.config.OLLAMA_BASE_URLS[url_idx]
     log.info(f"url: {url}")
 
-    return await post_streaming_url(f"{url}/v1/chat/completions", json.dumps(payload))
+    return await post_streaming_url(
+        f"{url}/v1/chat/completions",
+        json.dumps(payload),
+        stream=payload.get("stream", False),
+    )
 
 
 @app.get("/v1/models")

backend/apps/rag/main.py

@@ -48,8 +48,6 @@ import mimetypes
 import uuid
 import json
 
-import sentence_transformers
-
 from apps.webui.models.documents import (
     Documents,
     DocumentForm,
@@ -190,6 +188,8 @@ def update_embedding_model(
     update_model: bool = False,
 ):
     if embedding_model and app.state.config.RAG_EMBEDDING_ENGINE == "":
+        import sentence_transformers
+
         app.state.sentence_transformer_ef = sentence_transformers.SentenceTransformer(
             get_model_path(embedding_model, update_model),
             device=DEVICE_TYPE,
@@ -204,6 +204,8 @@ def update_reranking_model(
     update_model: bool = False,
 ):
     if reranking_model:
+        import sentence_transformers
+
         app.state.sentence_transformer_rf = sentence_transformers.CrossEncoder(
             get_model_path(reranking_model, update_model),
             device=DEVICE_TYPE,

backend/apps/rag/utils.py

@@ -442,8 +442,6 @@ from langchain_core.documents import BaseDocumentCompressor, Document
 from langchain_core.callbacks import Callbacks
 from langchain_core.pydantic_v1 import Extra
 
-from sentence_transformers import util
-
 
 class RerankCompressor(BaseDocumentCompressor):
     embedding_function: Any
@@ -468,6 +466,8 @@ class RerankCompressor(BaseDocumentCompressor):
                 [(query, doc.page_content) for doc in documents]
             )
         else:
+            from sentence_transformers import util
+
             query_embedding = self.embedding_function(query)
             document_embedding = self.embedding_function(
                 [doc.page_content for doc in documents]

backend/apps/webui/main.py

@@ -259,6 +259,9 @@ async def generate_function_chat_completion(form_data, user):
                         if isinstance(line, BaseModel):
                             line = line.model_dump_json()
                             line = f"data: {line}"
+                        if isinstance(line, dict):
+                            line = f"data: {json.dumps(line)}"
+
                         try:
                             line = line.decode("utf-8")
                         except:

backend/config.py

@@ -674,6 +674,13 @@ ENABLE_SIGNUP = PersistentConfig(
         else os.environ.get("ENABLE_SIGNUP", "True").lower() == "true"
     ),
 )
+
+DEFAULT_LOCALE = PersistentConfig(
+    "DEFAULT_LOCALE",
+    "ui.default_locale",
+    os.environ.get("DEFAULT_LOCALE", ""),
+)
+
 DEFAULT_MODELS = PersistentConfig(
     "DEFAULT_MODELS", "ui.default_models", os.environ.get("DEFAULT_MODELS", None)
 )

backend/main.py

@@ -104,6 +104,7 @@ from config import (
     UPLOAD_DIR,
     CACHE_DIR,
     STATIC_DIR,
+    DEFAULT_LOCALE,
     ENABLE_OPENAI_API,
     ENABLE_OLLAMA_API,
     ENABLE_MODEL_FILTER,
@@ -633,6 +634,8 @@ class ChatCompletionMiddleware(BaseHTTPMiddleware):
                     return StreamingResponse(
                         self.ollama_stream_wrapper(response.body_iterator, data_items),
                     )
+
+                return response
             else:
                 return response
 
@@ -1748,18 +1751,11 @@ async def update_pipeline_valves(
 
 @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,
-        "default_locale": default_locale,
+        "default_locale": str(DEFAULT_LOCALE),
         "default_models": webui_app.state.config.DEFAULT_MODELS,
         "default_prompt_suggestions": webui_app.state.config.DEFAULT_PROMPT_SUGGESTIONS,
         "features": {
@@ -1972,6 +1968,11 @@ async def oauth_callback(provider: str, request: Request, response: Response):
                     picture_url = ""
             if not picture_url:
                 picture_url = "/user.png"
+            role = (
+                "admin"
+                if Users.get_num_users() == 0
+                else webui_app.state.config.DEFAULT_USER_ROLE
+            )
             user = Auths.insert_new_auth(
                 email=email,
                 password=get_password_hash(
@@ -1979,7 +1980,7 @@ async def oauth_callback(provider: str, request: Request, response: Response):
                 ),  # Random password, not used
                 name=user_data.get("name", "User"),
                 profile_image_url=picture_url,
-                role=webui_app.state.config.DEFAULT_USER_ROLE,
+                role=role,
                 oauth_sub=provider_sub,
             )
 
@@ -2006,7 +2007,7 @@ async def oauth_callback(provider: str, request: Request, response: Response):
     # Set the cookie token
     response.set_cookie(
         key="token",
-        value=token,
+        value=jwt_token,
         httponly=True,  # Ensures the cookie is not accessible via JavaScript
     )
 

backend/requirements.txt

@@ -6,11 +6,11 @@ python-multipart==0.0.9
 Flask==3.0.3
 Flask-Cors==4.0.1
 
-python-socketio==5.11.2
+python-socketio==5.11.3
 python-jose==3.3.0
 passlib[bcrypt]==1.7.4
 
-requests==2.32.2
+requests==2.32.3
 aiohttp==3.9.5
 sqlalchemy==2.0.30
 alembic==1.13.1
@@ -32,13 +32,13 @@ openai
 anthropic
 google-generativeai==0.5.4
 
-langchain==0.2.0
-langchain-community==0.2.0
-langchain-chroma==0.1.1
+langchain==0.2.6
+langchain-community==0.2.6
+langchain-chroma==0.1.2
 
 fake-useragent==1.5.1
-chromadb==0.5.0
-sentence-transformers==2.7.0
+chromadb==0.5.3
+sentence-transformers==3.0.1
 pypdf==4.2.0
 docx2txt==0.8
 python-pptx==0.6.23
@@ -46,7 +46,7 @@ unstructured==0.14.0
 Markdown==3.6
 pypandoc==1.13
 pandas==2.2.2
-openpyxl==3.1.2
+openpyxl==3.1.5
 pyxlsb==1.0.10
 xlrd==2.0.1
 validators==0.28.1
@@ -60,16 +60,16 @@ rank-bm25==0.2.2
 faster-whisper==1.0.2
 
 PyJWT[crypto]==2.8.0
-authlib==1.3.0
+authlib==1.3.1
 
 black==24.4.2
-langfuse==2.33.0
+langfuse==2.36.2
 youtube-transcript-api==0.6.2
 pytube==15.0.0
 
 extract_msg
 pydub
-duckduckgo-search~=6.1.5
+duckduckgo-search~=6.1.7
 
 ## Tests
 docker~=7.1.0

package-lock.json

 {
 	"name": "open-webui",
-	"version": "0.3.6",
+	"version": "0.3.7",
 	"lockfileVersion": 3,
 	"requires": true,
 	"packages": {
 		"": {
 			"name": "open-webui",
-			"version": "0.3.6",
+			"version": "0.3.7",
 			"dependencies": {
 				"@codemirror/lang-javascript": "^6.2.2",
 				"@codemirror/lang-python": "^6.1.6",

package.json

 {
 	"name": "open-webui",
-	"version": "0.3.6",
+	"version": "0.3.7",
 	"private": true,
 	"scripts": {
 		"dev": "npm run pyodide:fetch && vite dev --host",

pyproject.toml

@@ -59,7 +59,7 @@ dependencies = [
     "faster-whisper==1.0.2",
 
     "PyJWT[crypto]==2.8.0",
-    "authlib==1.3.0",
+    "authlib==1.3.1",
 
     "black==24.4.2",
     "langfuse==2.33.0",

src/lib/components/chat/Messages/CompareMessages.svelte

@@ -100,25 +100,27 @@
 		class="flex snap-x snap-mandatory overflow-x-auto scrollbar-hidden"
 		id="responses-container-{parentMessage.id}"
 	>
+		{#key currentMessageId}
 			{#each Object.keys(groupedMessages) as model}
 				{#if groupedMessagesIdx[model] !== undefined && groupedMessages[model].messages.length > 0}
 					<!-- svelte-ignore a11y-no-static-element-interactions -->
 					<!-- svelte-ignore a11y-click-events-have-key-events -->
+					{@const message = groupedMessages[model].messages[groupedMessagesIdx[model]]}
 
 					<div
 						class=" snap-center min-w-80 w-full max-w-full m-1 border {history.messages[
 							currentMessageId
 						].model === model
-						? 'border-gray-100 dark:border-gray-850 border-[1.5px]'
+							? 'border-gray-100 dark:border-gray-800 border-[1.5px]'
 							: 'border-gray-50 dark:border-gray-850 '} transition p-5 rounded-3xl"
 						on:click={() => {
-						currentMessageId = groupedMessages[model].messages[groupedMessagesIdx[model]].id;
-
-						let messageId = groupedMessages[model].messages[groupedMessagesIdx[model]].id;
-
+							if (currentMessageId != message.id) {
+								currentMessageId = message.id;
+								let messageId = message.id;
 								console.log(messageId);
-						let messageChildrenIds = history.messages[messageId].childrenIds;
 
+								//
+								let messageChildrenIds = history.messages[messageId].childrenIds;
 								while (messageChildrenIds.length !== 0) {
 									messageId = messageChildrenIds.at(-1);
 									messageChildrenIds = history.messages[messageId].childrenIds;
@@ -126,6 +128,7 @@
 
 								history.currentId = messageId;
 								dispatch('change');
+							}
 						}}
 					>
 						<ResponseMessage
@@ -159,5 +162,6 @@
 					</div>
 				{/if}
 			{/each}
+		{/key}
 	</div>
 </div>

src/lib/components/workspace/Functions/FunctionEditor.svelte

@@ -27,61 +27,73 @@
 	}
 
 	let codeEditor;
-	let boilerplate = `from pydantic import BaseModel
+	let boilerplate = `"""
+title: Example Filter
+author: open-webui
+author_url: https://github.com/open-webui
+funding_url: https://github.com/open-webui
+version: 0.1
+"""
+
+from pydantic import BaseModel, Field
 from typing import Optional
 
 
 class Filter:
     class Valves(BaseModel):
-        max_turns: int = 4
+        priority: int = Field(
+            default=0, description="Priority level for the filter operations."
+        )
+        max_turns: int = Field(
+            default=8, description="Maximum allowable conversation turns for a user."
+        )
+        pass
+
+    class UserValves(BaseModel):
+        max_turns: int = Field(
+            default=4, description="Maximum allowable conversation turns for a user."
+        )
         pass
 
     def __init__(self):
         # Indicates custom file handling logic. This flag helps disengage default routines in favor of custom
         # implementations, informing the WebUI to defer file-related operations to designated methods within this class.
         # Alternatively, you can remove the files directly from the body in from the inlet hook
-        self.file_handler = True
+        # self.file_handler = True
 
         # Initialize 'valves' with specific configurations. Using 'Valves' instance helps encapsulate settings,
         # which ensures settings are managed cohesively and not confused with operational flags like 'file_handler'.
-        self.valves = self.Valves(**{"max_turns": 2})
+        self.valves = self.Valves()
         pass
 
-    def inlet(self, body: dict, user: Optional[dict] = None) -> dict:
+    def inlet(self, body: dict, __user__: Optional[dict] = None) -> dict:
         # Modify the request body or validate it before processing by the chat completion API.
         # This function is the pre-processor for the API where various checks on the input can be performed.
         # It can also modify the request before sending it to the API.
         print(f"inlet:{__name__}")
         print(f"inlet:body:{body}")
-        print(f"inlet:user:{user}")
+        print(f"inlet:user:{__user__}")
 
-        if user.get("role", "admin") in ["user", "admin"]:
+        if __user__.get("role", "admin") in ["user", "admin"]:
             messages = body.get("messages", [])
-            if len(messages) > self.valves.max_turns:
+
+            max_turns = min(__user__["valves"].max_turns, self.valves.max_turns)
+            if len(messages) > max_turns:
                 raise Exception(
-                    f"Conversation turn limit exceeded. Max turns: {self.valves.max_turns}"
+                    f"Conversation turn limit exceeded. Max turns: {max_turns}"
                 )
 
         return body
 
-    def outlet(self, body: dict, user: Optional[dict] = None) -> dict:
+    def outlet(self, body: dict, __user__: Optional[dict] = None) -> dict:
         # Modify or analyze the response body after processing by the API.
         # This function is the post-processor for the API, which can be used to modify the response
         # or perform additional checks and analytics.
         print(f"outlet:{__name__}")
         print(f"outlet:body:{body}")
-        print(f"outlet:user:{user}")
-
-        messages = [
-            {
-                **message,
-                "content": f"{message['content']} - @@Modified from Filter Outlet",
-            }
-            for message in body.get("messages", [])
-        ]
-
-        return {"messages": messages}
+        print(f"outlet:user:{__user__}")
 
+        return body
 `;
 
 	const _boilerplate = `from pydantic import BaseModel

src/lib/i18n/locales/languages.json

@@ -63,6 +63,10 @@
 		"code": "hr-HR",
 		"title": "Croatian (Hrvatski)"
 	},
+	{
+		"code": "id-ID",
+		"title": "Indonesian (Bahasa Indonesia)"
+	},
 	{
 		"code": "it-IT",
 		"title": "Italian (Italiano)"