Adds a server-side "small model" capability: direct, cheap LLM calls that reuse the user's existing OpenCode provider logins — the mechanism OpenCode uses internally for titles and summaries but does not expose through the SDK or plugins. Zero new dependencies; plain fetch with per-provider wire formats, credentials never leave the server. Core (packages/web/server/lib/small-model): - Resolution mirrors OpenCode's session scoping: explicit settings override → small_model from the OpenCode config → family scan within the session's provider → the session's own model. The global provider scan only serves callers without a session context, and background callers forbid it entirely (restrictToPreferredProvider), so conversation content never reaches a provider the user didn't pick — explicit choices excepted. - Per-provider auth replicating OpenCode's plugin loaders: GitHub Copilot (device token as bearer, no exchange), ChatGPT plan via the codex Responses API (single-flight OAuth refresh written back to auth.json), Anthropic messages, Google generateContent, generic OpenAI-compatible. - OpenCode's free models (opencode/big-pickle, *-free) are never called directly; unauthenticated providers are skipped by design. - Prompt clamping to the model's catalog context limit; thinking disabled where a wire switch exists (Z.AI/GLM, MiniMax-M3, Gemini Flash); robust content parsing with a clear error when a thinking model spends its whol budget on reasoning. - Settings → Sessions gains a Small Model group: use-default checkbox plus an override picker limited to authenticated providers, persisted with web/desktop/VS Code sanitization parity. Consumers: - Session assist: a server-side watcher on the global SSE hub generates a short recap and one suggested follow-up after a session idles quietly fo a minute, stored on session metadata (openchamber.assist). Freshness is keyed to the last assistant message id, so new activity invalidates the payload everywhere with no extra writes. The chat shows the recap under the last message after five quiet minutes and the suggestion as a dismissible chip above the composer (tap fills the input, never sends). Gated by a new Chat setting (default on) that is a hard generation switch. Language is anchored to the conversation itself, with a script-mismatch guard against model/backend language hallucination. - TTS: a third input mode, summarized — long replies are condensed to spoken prose before playback on any TTS engine. - Git: commit-message and PR generation moved off the active chat session onto the small model fed with real diffs and the commit list (bodies included), with a session-transport fallback for free-model-only setups. - Notes: Add to notes distills long selections into 1-3 dense sentences preserving exact identifiers, with verbatim fallback on failure. Fixes along the way: - The global event watcher now starts unconditionally; it was gated behind the desktop-notify env, leaving the server-side event hub dead in packaged apps. - OpenCode re-emits message.updated for old user messages after idle; the watcher no longer mistakes those for new activity. - Session metadata merges from a fresh read right before the PATCH, so writes made during the generation window (suggestion dismissals, review links) are preserved; the assist runtime stops during graceful shutdown.
199 lines
8.1 KiB
TypeScript
199 lines
8.1 KiB
TypeScript
/**
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* useMessageTTS Hook
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*
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* Hook for playing TTS on individual messages.
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* Uses the configured voice provider (browser, OpenAI, or macOS Say).
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*/
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import { useCallback, useState } from 'react';
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import { useConfigStore } from '@/stores/useConfigStore';
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import { useServerTTS } from './useServerTTS';
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import { useSayTTS } from './useSayTTS';
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import { useLocalTTS } from './useLocalTTS';
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import { browserVoiceService } from '@/lib/voice/browserVoiceService';
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import { sanitizeForTTS } from '@/lib/voice/summarize';
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import { runtimeFetch } from '@/lib/runtime-fetch';
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// Below this length the reply is comfortable to listen to as-is; summarizing
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// would only add latency.
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const TTS_SUMMARIZE_MIN_CHARS = 600;
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const SUMMARIZE_SYSTEM_PROMPT = 'Summarize the assistant reply for text-to-speech listening. Reply with 2-4 sentences of plain spoken prose in the same language as the reply. No markdown, no lists, no code — mention code changes briefly in words instead.';
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async function summarizeForSpeech(
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text: string,
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preferred: { providerID?: string; modelID?: string },
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): Promise<string | null> {
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try {
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const response = await runtimeFetch('/api/small-model/generate', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({
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prompt: text,
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system: SUMMARIZE_SYSTEM_PROMPT,
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...(preferred.providerID ? { preferredProviderID: preferred.providerID } : {}),
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...(preferred.modelID ? { preferredModelID: preferred.modelID } : {}),
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}),
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});
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if (!response.ok) return null;
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const payload = await response.json().catch(() => null) as { text?: unknown } | null;
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return typeof payload?.text === 'string' && payload.text.trim() ? payload.text.trim() : null;
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} catch {
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return null;
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}
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}
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export interface UseMessageTTSReturn {
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/** Whether TTS is currently playing for this message */
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isPlaying: boolean;
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/** Play the message text */
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play: (text: string) => Promise<void>;
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/** Stop playback */
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stop: () => void;
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}
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export function useMessageTTS(): UseMessageTTSReturn {
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const [isPlaying, setIsPlaying] = useState(false);
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const voiceProvider = useConfigStore((state) => state.voiceProvider);
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const speechRate = useConfigStore((state) => state.speechRate);
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const speechPitch = useConfigStore((state) => state.speechPitch);
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const speechVolume = useConfigStore((state) => state.speechVolume);
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const sayVoice = useConfigStore((state) => state.sayVoice);
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const localTtsVoiceId = useConfigStore((state) => state.localTtsVoiceId);
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const browserVoice = useConfigStore((state) => state.browserVoice);
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const openaiVoice = useConfigStore((state) => state.openaiVoice);
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const openaiCompatibleVoice = useConfigStore((state) => state.openaiCompatibleVoice);
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const openaiCompatibleUrl = useConfigStore((state) => state.openaiCompatibleUrl);
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const openaiCompatibleTtsModel = useConfigStore((state) => state.openaiCompatibleTtsModel);
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const showMessageTTSButtons = useConfigStore((state) => state.showMessageTTSButtons);
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const ttsInputMode = useConfigStore((state) => state.ttsInputMode);
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const isServerProvider = voiceProvider === 'openai' || voiceProvider === 'openai-compatible';
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const shouldCheckOpenAIAvailability = showMessageTTSButtons && isServerProvider;
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const shouldCheckSayAvailability = showMessageTTSButtons && voiceProvider === 'say';
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const { speak: speakServerTTS, stop: stopServerTTS, isAvailable: isServerTTSAvailable } = useServerTTS({
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enabled: shouldCheckOpenAIAvailability,
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availabilityMode: voiceProvider === 'openai-compatible' ? 'openai-compatible' : 'openai',
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});
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const { speak: speakSayTTS, stop: stopSayTTS, isAvailable: isSayTTSAvailable } = useSayTTS({
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enabled: shouldCheckSayAvailability,
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});
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const { speak: speakLocalTTS, stop: stopLocalTTS } = useLocalTTS();
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const stop = useCallback(() => {
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setIsPlaying(false);
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stopServerTTS();
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stopSayTTS();
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stopLocalTTS();
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browserVoiceService.cancelSpeech();
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}, [stopServerTTS, stopSayTTS, stopLocalTTS]);
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const play = useCallback(async (text: string) => {
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if (!text.trim()) return;
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// Stop any existing playback
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stop();
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setIsPlaying(true);
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try {
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// Summarized mode: replace long replies with a short spoken-prose
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// summary from the small model; fall back to the sanitized
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// original when summarization is unavailable.
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let sourceText = text;
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if (ttsInputMode === 'summarized' && text.length >= TTS_SUMMARIZE_MIN_CHARS) {
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const { currentProviderId, currentModelId } = useConfigStore.getState();
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const summary = await summarizeForSpeech(text, {
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providerID: currentProviderId || undefined,
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modelID: currentModelId || undefined,
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});
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if (summary) {
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sourceText = summary;
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}
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}
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const shouldUseRaw = ttsInputMode === 'raw' && isServerProvider;
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const sanitizedText = sanitizeForTTS(sourceText);
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const textToSpeak = shouldUseRaw ? sourceText : sanitizedText;
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if (isServerProvider && isServerTTSAvailable) {
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const voice = voiceProvider === 'openai-compatible' ? openaiCompatibleVoice : openaiVoice;
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const baseURL = voiceProvider === 'openai-compatible' ? openaiCompatibleUrl : undefined;
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const model = voiceProvider === 'openai-compatible' ? openaiCompatibleTtsModel : undefined;
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await speakServerTTS(textToSpeak, {
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voice,
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model,
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speed: speechRate,
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pitch: speechPitch,
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volume: speechVolume,
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summarize: false,
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baseURL,
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onEnd: () => setIsPlaying(false),
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onError: () => setIsPlaying(false),
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});
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} else if (voiceProvider === 'local') {
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await speakLocalTTS(sanitizedText, {
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speakerId: localTtsVoiceId,
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speed: speechRate,
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onEnd: () => setIsPlaying(false),
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onError: () => setIsPlaying(false),
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});
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} else if (voiceProvider === 'say' && isSayTTSAvailable) {
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const wordsPerMinute = Math.round(100 + (speechRate - 0.5) * 200);
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await speakSayTTS(sanitizedText, {
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voice: sayVoice,
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rate: wordsPerMinute,
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onEnd: () => setIsPlaying(false),
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onError: () => setIsPlaying(false),
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});
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} else {
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// Browser TTS
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await browserVoiceService.waitForVoices();
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await browserVoiceService.resumeAudioContext();
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await browserVoiceService.speakText(
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sanitizedText,
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navigator.language || 'en-US',
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() => setIsPlaying(false),
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{
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rate: speechRate,
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pitch: speechPitch,
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volume: speechVolume,
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voiceName: browserVoice || undefined,
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}
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);
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}
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} catch (err) {
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console.error('[useMessageTTS] Playback error:', err);
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setIsPlaying(false);
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}
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}, [
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voiceProvider,
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isServerProvider,
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speechRate,
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speechPitch,
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speechVolume,
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sayVoice,
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browserVoice,
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openaiVoice,
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openaiCompatibleVoice,
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openaiCompatibleUrl,
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openaiCompatibleTtsModel,
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isServerTTSAvailable,
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isSayTTSAvailable,
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ttsInputMode,
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speakServerTTS,
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speakSayTTS,
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speakLocalTTS,
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localTtsVoiceId,
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stop,
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]);
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return {
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isPlaying,
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play,
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stop,
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};
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}
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