* fix(llm): keep reasoning out of answers when thinking is off
Small-budget utility calls on reasoning models spend every token on
reasoning, and llm_call then returned reasoning_content as the answer. Web
search extraction sent that text to SearXNG as the query, which found
nothing, and session titles fell back as unusable.
Treat thinking_mode="off" as "only the answer": non-streaming calls now
return empty instead of substituting reasoning, matching the streaming path.
Callers that do not turn thinking off keep the existing fallback.
Turn thinking off for search query extraction, session titles without a
configured effort, scheduled task names, and deep research classification,
and strip inline think blocks from the extracted query.
* fix(routing): require computer task wording for named hosts
"on <word>" and "from <word>" counted as a named computer on their own, so
"Who is Jensen Huang from NVIDIA?" and "What happened on Monday?" routed to
shell tools and the workspace toolset.
A target now only counts next to wording that describes work on a machine,
such as "check disk usage on gpu-box" or "copy the logs from gpu-box". The
intent classifier and the agent loop's local computer check share the pattern.
* fix(chat): resolve follow-up references in web search queries
Query extraction only saw the latest message, so "Does he work with Lisa
Su?" lost who "he" was. Include the last four turns, capped per turn, and
instruct the model to use them only to resolve references. Incognito turns
do not use saved session history.
* test(llm): stop reasoning fallback tests hanging in isolation
The module replaced src.agent_tools and core.database with MagicMock before
importing agent_loop. strip_tool_blocks then returned a mock, and
_strip_think_blocks looped forever because a mock's find() never returns -1.
This hung whenever the file ran alone or first on a worker. Import the real
modules instead.
* test(search): remove extra blank line at EOF
---------
Co-authored-by: Alexandre Teixeira <general@alexandreteixeira.dev>
* feat(settings): opt-in reasoning effort for utility model calls
Add utility_reasoning_effort (empty = provider default) and let utility
calls inherit a chat session's effort only on that session's matching
endpoint+model route. Explicit caller effort wins; otherwise the utility
setting wins over session inheritance on utility-chain routes. Resolve
the chain and setting per user and validate levels against model evidence.
No-session work uses the setting only, with no chat-effort crossover.
- src/utility_effort.py owns effort_for_call and candidate_effort_factory
- remove global effort fill from llm_call/llm_call_async; utility call
sites pass effort explicitly, so unrelated calls on the same route do
not pick it up
- wire auto-title, memory/persona/skill extraction, memory suggest/import/
audit, compaction, auto-sort, and per-owner background task candidates
- wire no-session email writing-style, summary, and translation calls,
plus skills evaluation, necessity/retrieval audits, and improvement
- deliberately exclude email replies because thinking_mode='off'
- add the optional candidate_request_factory to llm_call_async_with_fallback
- add sync llm_call reasoning_effort and include it in the cache key
- show the Utility Model effort selector only for advertised levels
Fixes#6569
* fix(utility): exclude email replies and support inherited effort in settings
Pass reasoning_effort='' to task_llm_call_async for scheduled reply drafting to honor the email reply exclusion. In AI settings, resolve the effective Default Chat endpoint and model when Utility is set to 'Same as chat' so supported reasoning effort levels can be selected.
* feat(utility): support same-as-chat effort and session model fallback in compaction
In AI settings, show 'Same as chat' as the default effort option when Utility Model is inherited, and support an explicit 'Provider default' (off) override. Pass the active session fallback in context compaction callers so compaction shares the live chat session's model and reasoning effort for maximum prompt/KV cache affinity.
* fix(settings): clarify chat effort inheritance and keep option visible
Label inherited effort as 'Same as chat (when supported)' and mention
cache affinity and latency speedups in the help text. Ensure the effort
control remains visible when the utility model is set to 'Same as chat'
even if the default chat model lacks advertised reasoning levels, and
populate candidate levels across configured endpoints so the user can
configure effort or keep provider default.
* feat(settings): per-fallback reasoning effort for utility model
Each utility fallback row gets an Effort select, shown only when the
selected model advertises reasoning levels. The choice is stored as
reasoning_effort on the utility_model_fallbacks entry and sent only to
that candidate; an empty value means provider default.
* fix(utility): transmit reasoning effort in non-streaming calls
---------
Co-authored-by: Alexandre Teixeira <111787685+alteixeira20@users.noreply.github.com>
