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KoboldCPP Transcription

KoboldCPP has Whisper-based STT support, but endpoint shape can vary by build. TomoriBot’s Phase 4 adapter expects OpenAI-compatible POST /v1/audio/transcriptions.

Start KoboldCPP with Whisper/STT enabled and confirm your build exposes:

  • POST /v1/audio/transcriptions
  • GET /v1/models or GET /models

Keep KoboldCPP running while TomoriBot is using it. If your build only exposes /api/extra/transcribe or another custom shape, use a wrapper until TomoriBot has a dedicated adapter.

Run /providers, choose Add New Custom Endpoint, and use the transcription API compatibility:

  • API Compatibility: openai-compatible-transcription
  • endpoint_url: your KoboldCPP server root

After saving the connection, select it and use its model dropdown to add the model name your server reports as a Transcription model.

Use /providers for endpoint registration and model setup. Then open /config > Models > Switch Models to select and activate the registered endpoint.

After registration, TomoriBot transcribes audio attachments in the background and adds the text to chat context. Use /config > Engine > Notices only if you also want transcripts posted visibly in chat.