Add |middletruncate:n, |start:n, and |end:n pipe filters to the
{{MESSAGES}} template variable, enabling per-message character
truncation for task models (title, tags, follow-up, etc.).
Example: {{MESSAGES:END:2|middletruncate:500}}
This optimizes task model prompt size for conversations with very
long messages (e.g. pasted documents), reducing latency for local
models and API costs.
Closes#21499
- URL-encodes the OAuth error message when constructing the redirect URL in the OIDC callback handler
- Without encoding, error messages containing spaces, ampersands, or other special characters produce malformed URLs that the frontend cannot parse correctly
- The custom OAuth client callback handler already correctly uses urllib.parse.quote_plus() for the same purpose; this fix brings the OIDC handler in line with that pattern
Co-authored-by: gambletan <tan@gambletan.com>
json.loads(event_data.get("user", {})) crashes with TypeError when
the "user" key is absent because the default value {} is a dict, not
a JSON string. json.loads expects str/bytes, not dict.
Also handle the case where "user" is already a dict (not serialized
JSON) to make the webhook more robust.
Co-authored-by: gambletan <ethanchang32@gmail.com>
* fix: replace bare except with except Exception in main.py
* fix: replace bare except with Exception in oauth.py
In Python 3, bare 'except:' is discouraged as it catches all
SystemExit and KeyboardInterrupt exceptions. Changed to 'except Exception:'
to only catch actual exceptions.
The non-streaming response handler was saving assistant messages without
their usage/token data. While the streaming handler correctly extracted
and saved usage information, the non-streaming path discarded it entirely.
This caused assistant messages from non-streaming completions to have
NULL usage in the chat_message table, making them invisible to the
analytics token aggregation queries and contributing to the '0 tokens'
display in Admin Panel Analytics.
Extract and normalize the usage data from the API response and include
it in the database upsert, matching the pattern already used by the
streaming handler.
* perf(models): batch-fetch function valves to eliminate N+1 queries
get_action_priority() called Functions.get_function_valves_by_id()
individually for every action on every model — an N+1 query pattern
that issued one DB round-trip per (action x model) pair.
Add Functions.get_function_valves_by_ids() that fetches all valves in
a single WHERE IN query, then look up each action's valves from the
pre-fetched dict inside get_action_priority().
No functional change — same priority resolution, same sort order.
* Update models.py
* Update models.py
Backend emits terminal events for write_file, replace_file_content,
and run_command. Frontend showFileNavDir subscriber uses startsWith
path matching to smartly refresh only when the event is relevant:
- write_file/replace_file_content: refresh if path is in current view
- run_command: always refresh (uses root '/' which matches everything)
- Also adds copy-to-clipboard button and code preview full-height fix
