import { VersionInfo, IMPOSSIBLE } from '@start9labs/start-sdk'

export const v0_1_0 = VersionInfo.of({
  version: '0.10.0:0',
  releaseNotes: {
    en_US:
      'v0.10.0 — Speaker diarization. Spark Control now offers a merged transcription + diarization endpoint at POST /api/audio/transcribe-with-speakers. Returns the spoken text broken into blocks with anonymous speaker labels (Speaker_0, Speaker_1, ...) and millisecond timestamps — designed as input for downstream apps (recap-relay, custom UIs) that handle speaker→name mapping and LLM analysis with their own configurable prompts. Diarization runs via NVIDIA NeMo Sortformer (nvidia/diar_sortformer_4spk-v1), loaded alongside Parakeet ASR inside the existing parakeet-asr container on Spark 2 — no new infrastructure, ~150 MB model addition. A new /v1/audio/diarize endpoint is also exposed on Parakeet directly for clients that just want speaker turns. Apply Sortformer patches via image/parakeet_patches/apply.sh after install. v0.11 will add a Speech Models dashboard panel for in-UI model swap/update.',
  },
  migrations: {
    up: async ({ effects }) => {},
    down: IMPOSSIBLE,
  },
})