When models reference functions (via filterIds/actionIds) that no longer
exist in the database, the /api/models endpoint crashes with a 500 error,
preventing the UI from loading chats entirely. This can happen after
upgrades when built-in functions are removed or when user-created
functions are deleted while still referenced by models.
Instead of raising an exception, log at INFO level and skip the missing
function so the rest of the models load successfully.
Fixes#21464https://claude.ai/code/session_015JRM7m2bNeZPBBmV2Gv4Mj
Co-authored-by: Claude <noreply@anthropic.com>
The sharePublic prop in editor components (Knowledge, Tools, Skills,
Prompts, Models) incorrectly included an "|| edit" / "|| write_access"
condition, allowing users with write access to see and use the "Public"
sharing option regardless of their actual public sharing permission.
Additionally, all backend access/update endpoints only verified write
authorization but did not check the corresponding sharing.public_*
permission, allowing direct API calls to bypass frontend restrictions
entirely.
Frontend: removed the edit/write_access bypass from sharePublic in all
five editor components so visibility is gated solely by the user's
sharing.public_* permission or admin role.
Backend: added has_public_read_access_grant checks to the access/update
endpoints in knowledge.py, tools.py, prompts.py, skills.py, models.py,
and notes.py. Public grants are silently stripped when the user lacks
the corresponding permission.
Fixes#21356
Ensure chat_id is reliably passed to function pipelines/manifolds during internal task invocations (web search query generation, RAG query generation, image prompt generation).
This allows stateful functions to maintain per-chat state without fragmentation, as they will now receive a consistent chat_id for all chat-scoped invocations including internal tasks.
Backend changes:
- Pass chat_id in generate_queries call for web search
- Pass chat_id in generate_queries call for RAG/retrieval
- Pass chat_id in generate_image_prompt call
Frontend changes:
- Add optional chat_id parameter to generateQueries API function
- Add optional chat_id parameter to generateAutoCompletion API function
Fixes#20563
* fix: prevent worker death during document upload by using run_coroutine_threadsafe
Replace asyncio.run() with asyncio.run_coroutine_threadsafe() in
save_docs_to_vector_db() to prevent uvicorn worker health check failures.
The issue: asyncio.run() creates a new event loop and blocks the thread
completely, preventing the worker from responding to health checks during
long-running embedding operations (>5 seconds default timeout).
The fix: Schedule the async embedding work on the main event loop using
run_coroutine_threadsafe(). This keeps the main loop responsive to health
check pings while the sync caller waits for the result.
Changes:
- main.py: Store main event loop reference in app.state.main_loop at startup
- retrieval.py: Use run_coroutine_threadsafe() instead of asyncio.run()
https://claude.ai/code/session_01UQSYvSTkXb57sFb7M85Kcw
* add env var
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Co-authored-by: Claude <noreply@anthropic.com>
