Merge branch 'main' into dev-docker-compose

README.md

@@ -62,8 +62,7 @@ LANGFLOW_CHAT_FLOW_ID=your_chat_flow_id
 LANGFLOW_INGEST_FLOW_ID=your_ingest_flow_id
 NUDGES_FLOW_ID=your_nudges_flow_id
 ```
-ee extended configuration, including ingestion and optional variables: [docs/configuration.md](docs/
+See extended configuration, including ingestion and optional variables: [docs/configuration.md](docs/configuration.md)
-configuration.md)
 ### 3. Start OpenRAG
 
 ```bash

docker-compose-cpu.yml

@@ -91,7 +91,7 @@ services:
   langflow:
     volumes:
       - ./flows:/app/flows:Z
-    image: phact/langflow:${LANGFLOW_VERSION:-responses}
+    image: phact/openrag-langflow:${LANGFLOW_VERSION:-latest}
     container_name: langflow
     ports:
       - "7860:7860"

frontend/components/knowledge-actions-dropdown.tsx

@@ -1,12 +1,12 @@
 "use client";
 
-import { EllipsisVertical } from "lucide-react";
 import {
   DropdownMenu,
   DropdownMenuContent,
   DropdownMenuItem,
   DropdownMenuTrigger,
 } from "@/components/ui/dropdown-menu";
+import { EllipsisVertical } from "lucide-react";
 import { Button } from "./ui/button";
 
 export function KnowledgeActionsDropdown() {
@@ -18,7 +18,9 @@ export function KnowledgeActionsDropdown() {
         </Button>
       </DropdownMenuTrigger>
       <DropdownMenuContent side="right" sideOffset={-10}>
-        <DropdownMenuItem variant="destructive">Delete</DropdownMenuItem>
+        <DropdownMenuItem className="text-destructive focus:text-destructive-foreground focus:bg-destructive">
+          Delete
+        </DropdownMenuItem>
       </DropdownMenuContent>
     </DropdownMenu>
   );

frontend/components/markdown-renderer.tsx

@@ -62,7 +62,7 @@ export const MarkdownRenderer = ({ chatMessage }: MarkdownRendererProps) => {
       <Markdown
         remarkPlugins={[remarkGfm]}
         rehypePlugins={[rehypeMathjax, rehypeRaw]}
-        linkTarget="_blank"
+        urlTransform={(url) => url}
         components={{
           p({ node, ...props }) {
             return <p className="w-fit max-w-full">{props.children}</p>;
@@ -79,7 +79,7 @@ export const MarkdownRenderer = ({ chatMessage }: MarkdownRendererProps) => {
           h3({ node, ...props }) {
             return <h3 className="mb-2 mt-4">{props.children}</h3>;
           },
-          hr({ node, ...props }) {
+          hr() {
             return <hr className="w-full mt-4 mb-8" />;
           },
           ul({ node, ...props }) {
@@ -97,8 +97,12 @@ export const MarkdownRenderer = ({ chatMessage }: MarkdownRendererProps) => {
               </div>
             );
           },
+          a({ node, ...props }) {
+            return <a {...props} target="_blank" rel="noopener noreferrer">{props.children}</a>;
+          },
 
-          code: ({ node, className, inline, children, ...props }) => {
+          code(props) {
+            const { children, className, ...rest } = props;
             let content = children as string;
             if (
               Array.isArray(children) &&
@@ -120,14 +124,15 @@ export const MarkdownRenderer = ({ chatMessage }: MarkdownRendererProps) => {
               }
 
               const match = /language-(\w+)/.exec(className || "");
+              const isInline = !className?.startsWith("language-");
 
-              return !inline ? (
+              return !isInline ? (
                 <CodeComponent
                   language={(match && match[1]) || ""}
                   code={String(content).replace(/\n$/, "")}
                 />
               ) : (
-                <code className={className} {...props}>
+                <code className={className} {...rest}>
                   {content}
                 </code>
               );

frontend/package.json

@@ -38,11 +38,11 @@
     "react": "^19.0.0",
     "react-dom": "^19.0.0",
     "react-icons": "^5.5.0",
-    "react-markdown": "^8.0.7",
+    "react-markdown": "^10.1.0",
     "react-syntax-highlighter": "^15.6.1",
-    "rehype-mathjax": "^4.0.3",
+    "rehype-mathjax": "^7.1.0",
-    "rehype-raw": "^6.1.1",
+    "rehype-raw": "^7.0.0",
-    "remark-gfm": "3.0.1",
+    "remark-gfm": "^4.0.1",
     "sonner": "^2.0.6",
     "tailwind-merge": "^3.3.1",
     "tailwindcss-animate": "^1.0.7",
@@ -53,6 +53,7 @@
     "@types/node": "^20",
     "@types/react": "^19",
     "@types/react-dom": "^19",
+    "@types/react-syntax-highlighter": "^15.5.13",
     "autoprefixer": "^10.4.21",
     "eslint": "^9",
     "eslint-config-next": "15.3.5",

src/api/chat.py

@@ -18,8 +18,7 @@ async def chat_endpoint(request: Request, chat_service, session_manager):
     user = request.state.user
     user_id = user.user_id
 
-    # Get JWT token from auth middleware
+    jwt_token = session_manager.get_effective_jwt_token(user_id, request.state.jwt_token)
-    jwt_token = request.state.jwt_token
 
     if not prompt:
         return JSONResponse({"error": "Prompt is required"}, status_code=400)
@@ -76,8 +75,7 @@ async def langflow_endpoint(request: Request, chat_service, session_manager):
     user = request.state.user
     user_id = user.user_id
 
-    # Get JWT token from auth middleware
+    jwt_token = session_manager.get_effective_jwt_token(user_id, request.state.jwt_token)
-    jwt_token = request.state.jwt_token
 
     if not prompt:
         return JSONResponse({"error": "Prompt is required"}, status_code=400)

src/api/connectors.py

@@ -13,8 +13,8 @@ async def list_connectors(request: Request, connector_service, session_manager):
         )
         return JSONResponse({"connectors": connector_types})
     except Exception as e:
-        logger.error("Error listing connectors", error=str(e))
+        logger.info("Error listing connectors", error=str(e))
-        return JSONResponse({"error": str(e)}, status_code=500)
+        return JSONResponse({"connectors": []})
 
 
 async def connector_sync(request: Request, connector_service, session_manager):
@@ -31,7 +31,7 @@ async def connector_sync(request: Request, connector_service, session_manager):
             max_files=max_files,
         )
         user = request.state.user
-        jwt_token = request.state.jwt_token
+        jwt_token = session_manager.get_effective_jwt_token(user.user_id, request.state.jwt_token)
 
         # Get all active connections for this connector type and user
         connections = await connector_service.connection_manager.list_connections(

src/api/knowledge_filter.py

@@ -26,7 +26,7 @@ async def create_knowledge_filter(
         return JSONResponse({"error": "Query data is required"}, status_code=400)
 
     user = request.state.user
-    jwt_token = request.state.jwt_token
+    jwt_token = session_manager.get_effective_jwt_token(user.user_id, request.state.jwt_token)
 
     # Create knowledge filter document
     filter_id = str(uuid.uuid4())
@@ -70,7 +70,7 @@ async def search_knowledge_filters(
     limit = payload.get("limit", 20)
 
     user = request.state.user
-    jwt_token = request.state.jwt_token
+    jwt_token = session_manager.get_effective_jwt_token(user.user_id, request.state.jwt_token)
 
     result = await knowledge_filter_service.search_knowledge_filters(
         query, user_id=user.user_id, jwt_token=jwt_token, limit=limit
@@ -101,7 +101,7 @@ async def get_knowledge_filter(
         )
 
     user = request.state.user
-    jwt_token = request.state.jwt_token
+    jwt_token = session_manager.get_effective_jwt_token(user.user_id, request.state.jwt_token)
 
     result = await knowledge_filter_service.get_knowledge_filter(
         filter_id, user_id=user.user_id, jwt_token=jwt_token
@@ -136,7 +136,7 @@ async def update_knowledge_filter(
     payload = await request.json()
 
     user = request.state.user
-    jwt_token = request.state.jwt_token
+    jwt_token = session_manager.get_effective_jwt_token(user.user_id, request.state.jwt_token)
 
     # First, get the existing knowledge filter
     existing_result = await knowledge_filter_service.get_knowledge_filter(
@@ -205,7 +205,7 @@ async def delete_knowledge_filter(
         )
 
     user = request.state.user
-    jwt_token = request.state.jwt_token
+    jwt_token = session_manager.get_effective_jwt_token(user.user_id, request.state.jwt_token)
 
     result = await knowledge_filter_service.delete_knowledge_filter(
         filter_id, user_id=user.user_id, jwt_token=jwt_token
@@ -239,7 +239,7 @@ async def subscribe_to_knowledge_filter(
 
     payload = await request.json()
     user = request.state.user
-    jwt_token = request.state.jwt_token
+    jwt_token = session_manager.get_effective_jwt_token(user.user_id, request.state.jwt_token)
 
     # Get the knowledge filter to validate it exists and get its details
     filter_result = await knowledge_filter_service.get_knowledge_filter(
@@ -309,7 +309,7 @@ async def list_knowledge_filter_subscriptions(
         )
 
     user = request.state.user
-    jwt_token = request.state.jwt_token
+    jwt_token = session_manager.get_effective_jwt_token(user.user_id, request.state.jwt_token)
 
     result = await knowledge_filter_service.get_filter_subscriptions(
         filter_id, user_id=user.user_id, jwt_token=jwt_token
@@ -341,7 +341,7 @@ async def cancel_knowledge_filter_subscription(
         )
 
     user = request.state.user
-    jwt_token = request.state.jwt_token
+    jwt_token = session_manager.get_effective_jwt_token(user.user_id, request.state.jwt_token)
 
     # Get subscription details to find the monitor ID
     subscriptions_result = await knowledge_filter_service.get_filter_subscriptions(

src/api/nudges.py

@@ -9,7 +9,7 @@ async def nudges_from_kb_endpoint(request: Request, chat_service, session_manage
     """Get nudges for a user"""
     user = request.state.user
     user_id = user.user_id
-    jwt_token = request.state.jwt_token
+    jwt_token = session_manager.get_effective_jwt_token(user_id, request.state.jwt_token)
 
     try:
         result = await chat_service.langflow_nudges_chat(
@@ -28,7 +28,8 @@ async def nudges_from_chat_id_endpoint(request: Request, chat_service, session_m
     user = request.state.user
     user_id = user.user_id
     chat_id = request.path_params["chat_id"]
-    jwt_token = request.state.jwt_token
+
+    jwt_token = session_manager.get_effective_jwt_token(user_id, request.state.jwt_token)
 
     try:
         result = await chat_service.langflow_nudges_chat(

src/api/search.py

@@ -20,8 +20,7 @@ async def search(request: Request, search_service, session_manager):
         )  # Optional score threshold, defaults to 0
 
         user = request.state.user
-        # Extract JWT token from auth middleware
+        jwt_token = session_manager.get_effective_jwt_token(user.user_id, request.state.jwt_token)
-        jwt_token = request.state.jwt_token
 
         logger.debug(
             "Search API request",

src/api/upload.py

@@ -11,7 +11,7 @@ async def upload(request: Request, document_service, session_manager):
         form = await request.form()
         upload_file = form["file"]
         user = request.state.user
-        jwt_token = request.state.jwt_token
+        jwt_token = session_manager.get_effective_jwt_token(user.user_id, request.state.jwt_token)
 
         from config.settings import is_no_auth_mode
 
@@ -60,7 +60,7 @@ async def upload_path(request: Request, task_service, session_manager):
         return JSONResponse({"error": "No files found in directory"}, status_code=400)
 
     user = request.state.user
-    jwt_token = request.state.jwt_token
+    jwt_token = session_manager.get_effective_jwt_token(user.user_id, request.state.jwt_token)
 
     from config.settings import is_no_auth_mode
 
@@ -100,8 +100,7 @@ async def upload_context(
     previous_response_id = form.get("previous_response_id")
     endpoint = form.get("endpoint", "langflow")
 
-    # Get JWT token from auth middleware
+    jwt_token = session_manager.get_effective_jwt_token(user_id, request.state.jwt_token)
-    jwt_token = request.state.jwt_token
 
     # Get user info from request state (set by auth middleware)
     user = request.state.user
@@ -169,7 +168,7 @@ async def upload_bucket(request: Request, task_service, session_manager):
         return JSONResponse({"error": "No files found in bucket"}, status_code=400)
 
     user = request.state.user
-    jwt_token = request.state.jwt_token
+    jwt_token = session_manager.get_effective_jwt_token(user.user_id, request.state.jwt_token)
 
     from models.processors import S3FileProcessor
     from config.settings import is_no_auth_mode

src/connectors/connection_manager.py

@@ -321,7 +321,7 @@ class ConnectionManager:
 
         return None
 
-    def get_available_connector_types(self) -> Dict[str, Dict[str, str]]:
+    def get_available_connector_types(self) -> Dict[str, Dict[str, Any]]:
         """Get available connector types with their metadata"""
         return {
             "google_drive": {

src/session_manager.py

@@ -191,26 +191,8 @@ class SessionManager:
 
     def get_user_opensearch_client(self, user_id: str, jwt_token: str):
         """Get or create OpenSearch client for user with their JWT"""
-        from config.settings import is_no_auth_mode
+        # Get the effective JWT token (handles anonymous JWT creation)
-
+        jwt_token = self.get_effective_jwt_token(user_id, jwt_token)
-        logger.debug(
-            "get_user_opensearch_client",
-            user_id=user_id,
-            jwt_token_present=(jwt_token is not None),
-            no_auth_mode=is_no_auth_mode(),
-        )
-
-        # In no-auth mode, create anonymous JWT for OpenSearch DLS
-        if jwt_token is None and (is_no_auth_mode() or user_id in (None, AnonymousUser().user_id)):
-            if not hasattr(self, "_anonymous_jwt"):
-                # Create anonymous JWT token for OpenSearch OIDC
-                logger.debug("Creating anonymous JWT")
-                self._anonymous_jwt = self._create_anonymous_jwt()
-                logger.debug(
-                    "Anonymous JWT created", jwt_prefix=self._anonymous_jwt[:50]
-                )
-            jwt_token = self._anonymous_jwt
-            logger.debug("Using anonymous JWT for OpenSearch")
 
         # Check if we have a cached client for this user
         if user_id not in self.user_opensearch_clients:
@@ -222,6 +204,31 @@ class SessionManager:
 
         return self.user_opensearch_clients[user_id]
 
+    def get_effective_jwt_token(self, user_id: str, jwt_token: str) -> str:
+        """Get the effective JWT token, creating anonymous JWT if needed in no-auth mode"""
+        from config.settings import is_no_auth_mode
+
+        logger.debug(
+            "get_effective_jwt_token",
+            user_id=user_id,
+            jwt_token_present=(jwt_token is not None),
+            no_auth_mode=is_no_auth_mode(),
+        )
+
+        # In no-auth mode, create anonymous JWT if needed
+        if jwt_token is None and (is_no_auth_mode() or user_id in (None, AnonymousUser().user_id)):
+            if not hasattr(self, "_anonymous_jwt"):
+                # Create anonymous JWT token for OpenSearch OIDC
+                logger.debug("Creating anonymous JWT")
+                self._anonymous_jwt = self._create_anonymous_jwt()
+                logger.debug(
+                    "Anonymous JWT created", jwt_prefix=self._anonymous_jwt[:50]
+                )
+            jwt_token = self._anonymous_jwt
+            logger.debug("Using anonymous JWT")
+
+        return jwt_token
+
     def _create_anonymous_jwt(self) -> str:
         """Create JWT token for anonymous user in no-auth mode"""
         anonymous_user = AnonymousUser()

src/tui/_assets/docker-compose-cpu.yml

@@ -91,7 +91,7 @@ services:
   langflow:
     volumes:
       - ./flows:/app/flows:Z
-    image: phact/langflow:${LANGFLOW_VERSION:-responses}
+    image: phact/openrag-langflow:${LANGFLOW_VERSION:-latest}
     container_name: langflow
     ports:
       - "7860:7860"

src/tui/_assets/docker-compose.yml

@@ -91,7 +91,7 @@ services:
   langflow:
     volumes:
       - ./flows:/app/flows:Z
-    image: phact/langflow:${LANGFLOW_VERSION:-responses}
+    image: phact/openrag-langflow:${LANGFLOW_VERSION:-latest}
     container_name: langflow
     ports:
       - "7860:7860"