- Added line-clamp-1 truncation and tooltips to long model names and IDs in the Evaluations and Models admin sections to prevent visual overflow. Model names now display truncated with full name and ID available on hover.
* feat: Add MATLAB syntax highlighting support for code blocks
Add MATLAB syntax highlighting support by fixing issues in both CodeEditor (editable) and CodeBlock (read-only) components.
Changes:
- CodeEditor.svelte: Added 'matlab' alias to CodeMirror's Octave language (MATLAB-compatible syntax)
- CodeBlock.svelte: Fixed highlight.js usage to use highlight() directly when language is recognized, falling back to highlightAuto() only for unknown languages
* revert: not needed
This fix restores and extends the username/email search functionality across workspace pages that was originally added in PR #14002. The issue was that:
1. The backend search functions for Models and Knowledge only searched `User.name` and `User.email`, but not `User.username`
2. The Functions admin page lacked user search entirely
Changes made:
Added User.username to backend search conditions for Models and Knowledge pages
Added complete user search (name, email, username) to the Functions admin page client-side filter
Remove Depends(get_session) from POST /query endpoint to prevent database connections from being held during embedding API calls (1-5+ seconds).
The Memories.get_memories_by_user_id() function manages its own short-lived session internally, releasing the connection before the slow EMBEDDING_FUNCTION() call begins.
Remove Depends(get_session) from POST /create endpoint to prevent database connections from being held during embedding API calls (1-5+ seconds).
The has_permission() and Knowledges.insert_new_knowledge() functions manage their own short-lived sessions internally, releasing connections before the slow embed_knowledge_base_metadata() call begins.
Remove Depends(get_session) from POST /{id}/update endpoint to prevent database connections from being held during embedding API calls (1-5+ seconds).
All database operations (get_knowledge_by_id, has_access, has_permission, update_knowledge_by_id, get_file_metadatas_by_id) manage their own short-lived sessions internally, releasing connections before and after the slow embed_knowledge_base_metadata() call.
Remove Depends(get_session) from the /v1/completions endpoint to prevent database connections from being held during the entire duration of LLM calls.
Previously, the database session was acquired at request start and held until the response completed. Under concurrent load, this exhausted the connection pool, causing QueuePool timeout errors.
The fix allows Models.get_model_by_id() and has_access() to manage their own short-lived sessions internally, releasing the connection immediately after authorization checks complete.
Remove Depends(get_session) from the /v1/chat/completions endpoint to prevent database connections from being held during the entire duration of LLM calls.
Previously, the database session was acquired at request start and held until the streaming response completed. Under concurrent load, this exhausted the connection pool, causing QueuePool timeout errors.
The fix allows Models.get_model_by_id() and has_access() to manage their own short-lived sessions internally, releasing the connection immediately after authorization checks complete.
* Added lacking translations to Polish locale and improved some existing ones for better clarity.
* fix: add missing newline at EOF
---------
Co-authored-by: Tim Baek <tim@openwebui.com>
Co-authored-by: joaoback <156559121+joaoback@users.noreply.github.com>
Remove Depends(get_session) from the /api/chat endpoint to prevent database connections from being held during the entire duration of LLM calls (30-60+ seconds for streaming responses).
Previously, the database session was acquired at request start and held until the streaming response completed. Under concurrent load, this exhausted the connection pool, causing QueuePool timeout errors for other database operations.
The fix allows Models.get_model_by_id() and has_access() to manage their own short-lived sessions internally, releasing the connection immediately after the quick authorization checks complete - before the slow external LLM API call begins.
Remove Depends(get_session) from the /chat/completions endpoint to prevent database connections from being held during the entire duration of LLM calls (30-60+ seconds for streaming responses).
Previously, the database session was acquired at request start and held until the streaming response completed. Under concurrent load, this exhausted the connection pool, causing QueuePool timeout errors for other database operations.
The fix allows Models.get_model_by_id() and has_access() to manage their own short-lived sessions internally, releasing the connection immediately after the quick authorization checks complete - before the slow external LLM API call begins.
Remove Depends(get_session) from POST /add endpoint to prevent database connections from being held during embedding API calls (1-5+ seconds).
The Memories.insert_new_memory() function manages its own short-lived session internally, releasing the connection before the slow EMBEDDING_FUNCTION() call begins.
Remove Depends(get_session) from POST /metadata/reindex endpoint to prevent database connections from being held during N embedding API calls.
This endpoint is CRITICAL as it loops through ALL knowledge bases and calls embed_knowledge_base_metadata() for each one. With the original code, a single connection would be held for the entire duration (potentially minutes for large deployments), completely exhausting the pool.
The Knowledges.get_knowledge_bases() function manages its own short-lived session, releasing the connection before the embedding loop begins.
Remove Depends(get_session) from POST /process/files/batch endpoint to prevent database connections from being held during batch embedding API calls (5-60+ seconds for large batches).
The save_docs_to_vector_db() function makes external embedding API calls. Post-embedding file updates (Files.update_file_by_id) manage their own short-lived sessions internally, releasing connections promptly.
Remove Depends(get_session) from POST /reset to prevent catastrophic connection pool exhaustion.
This endpoint was holding a SINGLE database connection while executing N PARALLEL embedding API calls via asyncio.gather(). For a user with 100 memories, this meant one connection blocked for potentially MINUTES (100 calls * 1-5 seconds each, even in parallel due to rate limits).
A single user triggering /reset could completely starve the connection pool, causing QueuePool timeout errors across the entire application.
The Memories.get_memories_by_user_id() function now manages its own short-lived session, releasing the connection immediately before the massive parallel embedding operation begins.
