* 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>
ToolApprovalStore.create() sealed a process identity only from the request
authority's launch scopes, which exist only for granted bash/python. For an
ungranted call the sealing failed silently, so the approval was created
without a process identity and the executor always refused it ("Approved
action has no sealed process/job identity"). When the authority is not
inherited and has no launch scope for the backend, seal one in the
request's single workspace root at approval time, as filesystem approvals
already do. Inherited authorities still cannot widen.
The skill test run and audit arm left their `async for` over
stream_agent_loop early when an approval was needed, without closing the
generator. asyncio closed it later from another task, so its ContextVar
resets raised "Token ... was created in a different Context". Close the
stream with aclosing, like the scheduler and teacher escalation do.
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
Require caller-supplied model endpoints to resolve through enabled owner-visible registrations, harden session path encoding, and remove the SVG title HTML parsing sink.
* fix(agent): allow remaining actions for an approved task
* fix(agent): make approval continuation control-only
* fix(ci): preserve approval taint and cache-buster contract
* fix(ui): keep tool approvals in current chat
* fix(ui): route tool approvals through chat submit
* test(ui): pin approval submit routing
* fix(agent): complete approval denial flow
* fix(ui): avoid duplicate ask-user close icon
* fix(agent): retain approved tool in continuation set
* revert(ui): keep PR 6113 scoped to approval continuation
* fix(agent): add task and chat approval scopes
* fix(ui): prevent duplicate ask-user close icon
* feat(ui): add ask-user option shortcuts
* fix(compare): route ask-user choices per pane
* fix(agent): keep skill-test approvals to a single action
The chat card now reuses the wire value `approve` to mean chat-session
scope, and `consume()` returned `allow_remaining_actions=True` for it
unconditionally. The skill-test approval route was never updated: it still
sends `approve` meaning "once", and its button still reads "Allow once",
but the grant it got back set `approval_gate_bypassed` for the rest of the
resumed run. That surface wraps the skill body and every transcript byte
as untrusted context, so it is the last place where one click should
ungate everything that follows.
Give `consume()` an explicit `allow_continuation` flag. Callers that own a
resumable chat keep the scope the user picked; callers that do not — the
skill tester, unattended audits — get SINGLE_ACTION and the gate re-arms
behind the sealed action, which is what their label promises.
* fix(ui): cache-bust every module the approval click depends on
chatStream.js, compare/index.js and compare/stream.js all changed
behaviour but kept their old `?v=`, while chat.js and chatRenderer.js were
bumped. A returning browser therefore serves the new chat.js — which now
deliberately leaves the composer empty and clicks the send button — next to
the cached chatStream.js that has no interceptor. With an empty composer
that button sits at `data-mode="newchat"`, so the click opens a new chat
and the approval is dropped.
Bump the three, and version compare/stream.js's chatRenderer import to
match everyone else's so the ask_user keydown listener binds to one module
instance instead of two.
* fix(ui): keep the digit shortcuts off tool approval cards
With an approval card on screen and focus anywhere outside an input, a bare
`1` fired `approve_task` — the widest of the three grants — with no
modifier and no confirmation. That card is the one control whose entire
purpose is deliberate consent after untrusted context influenced the run,
and Deny sits at 3.
Label the card with its kind and skip the shortcut for approvals. Ordinary
ask_user questions keep 1-3.
* fix(compare): restore a pane's ask_user card instead of dropping the choice
renderAskUserCard removes the card as soon as onSubmit accepts, but the
resume loop gave up silently after 10s if the originating stream still owned
the pane. The user saw the click land, the card vanish, and nothing happen,
with no way to get it back.
Re-render the card on that deadline and say why. The reroll case still
returns without sending — that choice belongs to a stream that no longer
exists.
* refactor(chat): drop the unreachable deny branch
`if decision != "deny"` is always true — the deny path returns a
StreamingResponse a few lines above. It reads as if deny still falls
through to the toggle restore.
---------
Co-authored-by: Léo <leograndcontact@gmail.com>
Skill tests are background automation tasks (like auto-naming and
memory audit) and should use the configured utility model. Previously
they resolved via resolve_endpoint("default") which returned the
chat model, bypassing the utility model entirely.
This completes the sweep started in PR #4027 which fixed auto-naming
and memory audit but missed skill tests.
Two py/polynomial-redos sinks ran regexes with two adjacent \s-matching
quantifiers over untrusted model text, backtracking O(n^2) when the tail failed
on a whitespace flood:
- routes/skills_routes.py: the last-resort verdict-from-prose extractor used
`["\'\s:]*\s*` — the class already matches \s, so the trailing \s* was a
redundant second quantifier. Dropped it (extracted to a documented module
constant _VERDICT_PROSE_RE); the matched text is identical, the scan linear.
- src/agent_loop.py _EXPLICIT_CONTINUATION_RE: `\s*[.!?]*\s*$` put two \s*
around `[.!?]*`. Rewrote as `\s*(?:[.!?]+\s*)?$` — same accepted tails (no
two \s* adjacent), linear. Portable form (no possessive quantifiers).
Both verified output-equivalent to the originals across a fuzz corpus. Adds
tests/test_redos_verdict_continuation.py pinning the unchanged match sets and
bounding the flood inputs (old patterns took seconds at 40k whitespace chars).
max_tokens=0 made stream_agent_loop omit the param entirely, which
on some OpenAI-compat upstreams (DeepSeek in the report) meant the
model defaulted to a very short or zero-token completion — the user
saw "the model returned an empty" even though normal chat with the
same model worked (chat sends its preset's max_tokens). Match the
chat default.
* fix(presets): scope expand-prompt model resolution to owner
/api/presets/expand resolved its model endpoint with no owner, so in a
multi-user setup it could match another user's endpoint and use its URL
and decrypted api_key. Pass effective_user(request) to _resolve_model so
resolution is owner-scoped. Adds a regression test.
* fix(presets): scope teacher and audit model resolution to owner
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Alex Little <alexwilliamlittle@gmail.com>
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Co-authored-by: Kenny Van de Maele <kenny@kvandemaele.be>
* feat: Add ChatGPT Subscription support and related features
- Introduced a new provider option for ChatGPT Subscription in the endpoint selection UI.
- Implemented OAuth flow for ChatGPT Subscription sign-in, including polling for authorization status.
- Updated admin interface to handle ChatGPT Subscription, including disabling API key input and providing user guidance.
- Enhanced cost tracking logic to differentiate between subscription and non-subscription endpoints.
- Added new slash commands for managing skills, including listing, searching, and invoking skills.
- Implemented caching for skill catalog to optimize performance.
- Updated tests to cover new ChatGPT Subscription functionality and ensure proper endpoint probing.
- Refactored existing code to accommodate new features and improve maintainability.
* refactor: share provider device-flow setup
- reuse one device-flow backend for Copilot and ChatGPT Subscription
- add one frontend device-flow helper for Settings and /setup
- put GitHub Copilot back into Add Models, now as a dropdown option
- make provider selection just select; clicking Add starts sign-in
- stop ChatGPT Subscription setup from opening auth tabs automatically
- make /setup copilot and /setup chatgpt-subscription work from chat
- show ChatGPT Subscription in the /setup suggestions
- show the real error message when setup fails
- add focused tests for the shared flow and setup UI
* feat(chatgpt-subscription): harden credential lifecycle and streamline auth UX
Backend:
- Resolve runtime bearer for provider-auth endpoints at probe time via a
shared _resolve_probe_key() that delegates to resolve_endpoint_runtime,
applied across all probe/refresh call sites.
- Skip live completion probes and health pings for discovery-only providers
(centralized behind _is_discovery_only_provider) — the Codex/Responses API
has no such endpoints, so status is derived from cached models.
- Never persist the short lived ChatGPT bearer to the plaintext sessions
table; proactively clear any stale bearer left by an earlier code path.
- Revoke orphaned ProviderAuthSession credentials when the last endpoint
backing them is deleted (_delete_orphaned_provider_auth), surfaced via
cleared_provider_auth in the delete response.
Frontend (admin.js):
- Auto-start the device-auth flow on provider selection so the authorization
panel (code + Authorize) shows immediately instead of behind a "Sign in" click.
- Remove the redundant top button for device auth providers, move retry
into the panel via an inline "Try again".
- Drop the self-evident hint text and add an execCommand clipboard fallback so
Copy works in non-secure (HTTP/LAN) contexts.
* fix: harden chatgpt subscription provider
* chore: remove PR media from branch
* Fix chatgpt subscription recovery and token handling
---------
Co-authored-by: 5p00kyy <admin@5p00ky.dev>
* feat(skills): import SKILL.md bundles from public GitHub URLs
Supports GitHub tree/blob/raw links and skills.sh pages that resolve to GitHub.
Installs SKILL.md plus sibling text assets under data/skills/imported/.
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix(skills): admin-gate URL import and validate redirect hosts
- require_admin on POST /api/skills/import-from-url (matches other skill admin routes)
- reject cross-host redirects after httpx follow_redirects
- test for redirect host validation
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix(skills): match Brain Add panel import/submit button styles
- Skill URL Import: theme-io-btn + download icon (same as memory Import)
- Add Skill submit: confirm-btn confirm-btn-primary
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix(skills): allow api.github.com during directory import
Real imports hit the GitHub contents API after redirects; whitelist
api.github.com and add regression tests. Shrink Import button with flex:none.
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix(skills): align skill Import button with URL input row
Match memory-add-input height (28px) in memory-add-row and center the
download icon with flexbox instead of vertical-align hacks.
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix(skills): cancel modal-body margin on skill Import button
The skill Import button sits in .memory-add-row beside an input; the
global .modal-body button { margin-top: 6px } rule only affected buttons,
pushing Import down and misaligning the download icon. Reset margin-top
and match Memory Import SVG markup at 28px row height.
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix(skills): surface GitHub API errors on URL import
Pass through GitHub response messages (especially 403 rate limits) as
SkillImportError instead of a generic download failure.
Co-authored-by: Cursor <cursoragent@cursor.com>
---------
Co-authored-by: Cursor <cursoragent@cursor.com>
POST /api/skills/{id}/markdown set sk.name = slugify(sk.name or match['name']),
taking the name parsed from the edited markdown frontmatter. A changed name
makes update_skill() move the skill directory on disk and re-key its usage
sidecar, orphaning the original id. The UI still holds that original id, so the
next DELETE /api/skills/{id} fails the name/id lookup and 404s — 'can't delete
them now'.
The audit save path (_apply_skill_md) already guards against exactly this with
sk.name = name and an explicit 'must NEVER rename the skill' comment. Apply the
same pin here: keep the stored name on markdown save (content edits still take
effect; only the rename is suppressed). Drops the now-unused slugify import.
Adds tests/test_skill_save_no_rename.py: saving markdown whose frontmatter
renames the skill keeps the original name and applies the edit, and a
subsequent delete-by-original-id succeeds. Pure unit test — calls the route
handlers directly with a mock Request (no server/network), like
test_skills_delete_owner.py.
Co-authored-by: lalalune <shawgotbags@gmail.com>
The DELETE /api/skills/{skill_id} handler resolves the caller, loads the
skill with skills_manager.load(owner=user), and verifies ownership with
_verify_owner(match, user) — but then calls
skills_manager.delete_skill(match.get("name")) without the owner.
SkillsManager.delete_skill filters candidates with
`(sk.owner or "") != (owner or "")`, so when owner is None an owner-scoped
skill is skipped and the method returns False. The route then raises a
spurious 404 "Skill not found" — meaning a logged-in user can never delete
their own skills through the API.
Pass the resolved owner through to delete_skill so the skill is matched and
removed.
tests/test_skills_delete_owner.py drops a real owner-scoped SKILL.md on disk
and (1) checks the manager directly: delete_skill without owner returns
False (regression lock) while delete_skill(owner="alice") returns True and
removes the dir; (2) drives the real DELETE route handler and asserts it
returns {"ok": True} and deletes the file. The route test fails before this
change (404). Real SkillsManager + real filesystem, no mocking.
read_skill_md and read_skill_reference walk all skill files via
_iter_skill_files and return the first match by slug, regardless
of owner. In a multi-user deployment where two users have skills
with the same slug under different categories, a caller scoped
to owner='alice' can read Bob's skill content.
This is the same cross-tenant leak class as the update_skill /
delete_skill fix (PR #755, merged), but on the read path.
Changes:
- read_skill_md / read_skill_reference accept owner= param (default
None = match ownerless only, matching the write-path convention).
- 7 callers updated: tool_implementations.py (view, view_ref, patch),
builtin_actions.py (test_skills), skills_routes.py (audit, source,
test routes).
- Tests: read scoping (alice reads hers, not bob's), positive update
scoping (alice can mutate her own), ownerless-match default.
