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fix(dictation): skip LLM readiness gate when auto_refine is off (#753)

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When the user disables auto_refine (LLM polish) in Settings, the Qwen
refinement model is no longer required for dictation to arm. Previously,
canRecord checked llmReady unconditionally, so useChordSync called
disable_hotkey whenever Qwen was not downloaded -- even if the user
never intended to use refinement.

Changes:
- useDictationReadiness: gate llmReady behind autoRefine in canRecord,
  missing, and the polling predicates so hotkeys arm with just Whisper
  STT when refinement is off.
- DictationReadinessChecklist: hide the LLM row when autoRefine is
  false -- the checklist now shows only Whisper STT.

Closes #753
This commit is contained in:
devangkantharia
2026-10-04 00:00:08 +00:00
committed by capy-ai-staging[bot]
parent 4a03cd7e77
commit 0e1e9922a8
2 changed files with 17 additions and 9 deletions
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app/src/lib/hooks/useDictationReadiness.ts
+16 -8
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@@ -3,6 +3,7 @@ import { useAccessibilityPermission } from '@/components/AccessibilityGate/Acces
import { useInputMonitoringPermission } from '@/components/InputMonitoringGate/InputMonitoringGate';
import { apiClient } from '@/lib/api/client';
import type { ModelReadiness } from '@/lib/api/types';
import { useCaptureSettings } from '@/lib/hooks/useSettings';
import { usePlatform } from '@/platform/PlatformContext';
const READINESS_POLL_INTERVAL_MS = 5_000;
@@ -17,6 +18,8 @@ export interface DictationReadiness {
missing: ReadinessGate[];
stt: ModelReadiness | undefined;
llm: ModelReadiness | undefined;
/** Whether the user has auto-refine (LLM polish) enabled. */
autoRefine: boolean;
inputMonitoring: boolean;
accessibility: boolean;
refetch: () => void;
@@ -46,6 +49,8 @@ export interface DictationReadiness {
export function useDictationReadiness(): DictationReadiness {
const platform = usePlatform();
const isTauri = platform.metadata.isTauri;
const { settings } = useCaptureSettings();
const autoRefine = settings?.auto_refine ?? true;
const {
needsPermission: inputMonNeeds,
@@ -61,17 +66,19 @@ export function useDictationReadiness(): DictationReadiness {
const { data, isLoading, refetch } = useQuery({
queryKey: ['capture-readiness'],
queryFn: () => apiClient.getCaptureReadiness(),
// Poll only while a model is still missing/downloading. Once both are
// green the endpoint's answer can't change until the user swaps models
// in settings, and that path invalidates the query explicitly from
// useSettings. refetchOnWindowFocus stays gated to the same condition.
// Poll only while a required model is still missing/downloading. Once
// all required models are green the endpoint's answer can't change
// until the user swaps models in settings, and that path invalidates
// the query explicitly from useSettings. refetchOnWindowFocus stays
// gated to the same condition.
refetchInterval: (query) => {
const d = query.state.data;
return d && d.stt.ready && d.llm.ready ? false : READINESS_POLL_INTERVAL_MS;
const allGreen = d && d.stt.ready && (!autoRefine || d.llm.ready);
return allGreen ? false : READINESS_POLL_INTERVAL_MS;
},
refetchOnWindowFocus: (query) => {
const d = query.state.data;
return !(d && d.stt.ready && d.llm.ready);
return !(d && d.stt.ready && (!autoRefine || d.llm.ready));
},
});
@@ -84,10 +91,10 @@ export function useDictationReadiness(): DictationReadiness {
const missing: ReadinessGate[] = [];
if (!sttReady) missing.push('stt');
if (!llmReady) missing.push('llm');
if (autoRefine && !llmReady) missing.push('llm');
if (!inputMonitoring) missing.push('input_monitoring');
if (!accessibility) missing.push('accessibility');
const canRecord = sttReady && llmReady && inputMonitoring;
const canRecord = sttReady && (!autoRefine || llmReady) && inputMonitoring;
return {
isLoading,
@@ -96,6 +103,7 @@ export function useDictationReadiness(): DictationReadiness {
missing,
stt: data?.stt,
llm: data?.llm,
autoRefine,
inputMonitoring,
accessibility,
refetch: () => {