feat(ai): server-side voice dictation (STT) with mic in chat and editor
Add push-to-talk voice dictation that transcribes recorded audio on the server via the workspace's OpenAI-compatible AI provider (Whisper / gpt-4o-transcribe / self-hosted whisper), then inserts the text. Backend: - New `stt_api_key_enc` column + migration; STT creds parity with chat/ embeddings (sttModel/sttBaseUrl/sttApiKey, write-only key, fallbacks to chat baseUrl/key). Both provider whitelists updated (service + repo). - AiService.getTranscriptionModel + AiTranscriptionService. - Gated POST /ai-chat/transcribe (dictation flag → 403, JWT + workspace scope + throttle, 25MB cap, MIME whitelist, never logs audio/key). - New `settings.ai.dictation` workspace flag (DTO + service + audit). Frontend: - Wire up the Voice/STT settings card (model/base URL/key) and the Voice-dictation toggle. - New `features/dictation`: useDictation (MediaRecorder state machine), MicButton, transcribe service; integrated into the chat composer and a new editor-toolbar dictation group, both gated by ai.dictation.
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import { type Kysely } from 'kysely';
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export async function up(db: Kysely<any>): Promise<void> {
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// Encrypted, STT-specific provider key. Separate from `api_key_enc`
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// (the chat key) so the transcription model can use a different token.
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// When NULL, the STT model falls back to `api_key_enc`.
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await db.schema
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.alterTable('ai_provider_credentials')
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.addColumn('stt_api_key_enc', 'text', (col) => col)
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.execute();
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}
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export async function down(db: Kysely<any>): Promise<void> {
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await db.schema
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.alterTable('ai_provider_credentials')
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.dropColumn('stt_api_key_enc')
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.execute();
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}
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