Skip to main content

​
Audio / Voice Notes — 2026-01-17

​
What works

  • Media understanding (audio): If audio understanding is enabled (or auto‑detected), Clawdia:
    1. Locates the first audio attachment (local path or URL) and downloads it if needed.
    2. Enforces maxBytes before sending to each model entry.
    3. Runs the first eligible model entry in order (provider or CLI).
    4. If it fails or skips (size/timeout), it tries the next entry.
    5. On success, it replaces Body with an [Audio] block and sets {{Transcript}}.
  • Command parsing: When transcription succeeds, CommandBody/RawBody are set to the transcript so slash commands still work.
  • Verbose logging: In --verbose, we log when transcription runs and when it replaces the body.

​
Auto-detection (default)

If you don’t configure models and tools.media.audio.enabled is not set to false, Clawdia auto-detects in this order and stops at the first working option:
  1. Local CLIs (if installed)
    • sherpa-onnx-offline (requires SHERPA_ONNX_MODEL_DIR with encoder/decoder/joiner/tokens)
    • whisper-cli (from whisper-cpp; uses WHISPER_CPP_MODEL or the bundled tiny model)
    • whisper (Python CLI; downloads models automatically)
  2. Gemini CLI (gemini) using read_many_files
  3. Provider keys (OpenAI → Groq → Deepgram → Google)
To disable auto-detection, set tools.media.audio.enabled: false. To customize, set tools.media.audio.models. Note: Binary detection is best-effort across macOS/Linux/Windows; ensure the CLI is on PATH (we expand ~), or set an explicit CLI model with a full command path.

​
Config examples

​
Provider + CLI fallback (OpenAI + Whisper CLI)

{
  tools: {
    media: {
      audio: {
        enabled: true,
        maxBytes: 20971520,
        models: [
          { provider: "openai", model: "gpt-4o-mini-transcribe" },
          {
            type: "cli",
            command: "whisper",
            args: ["--model", "base", "{{MediaPath}}"],
            timeoutSeconds: 45
          }
        ]
      }
    }
  }
}

​
Provider-only with scope gating

{
  tools: {
    media: {
      audio: {
        enabled: true,
        scope: {
          default: "allow",
          rules: [
            { action: "deny", match: { chatType: "group" } }
          ]
        },
        models: [
          { provider: "openai", model: "gpt-4o-mini-transcribe" }
        ]
      }
    }
  }
}

​
Provider-only (Deepgram)

{
  tools: {
    media: {
      audio: {
        enabled: true,
        models: [{ provider: "deepgram", model: "nova-3" }]
      }
    }
  }
}

​
Notes & limits

  • Provider auth follows the standard model auth order (auth profiles, env vars, models.providers.*.apiKey).
  • Deepgram picks up DEEPGRAM_API_KEY when provider: "deepgram" is used.
  • Deepgram setup details: Deepgram (audio transcription).
  • Audio providers can override baseUrl, headers, and providerOptions via tools.media.audio.
  • Default size cap is 20MB (tools.media.audio.maxBytes). Oversize audio is skipped for that model and the next entry is tried.
  • Default maxChars for audio is unset (full transcript). Set tools.media.audio.maxChars or per-entry maxChars to trim output.
  • OpenAI auto default is gpt-4o-mini-transcribe; set model: "gpt-4o-transcribe" for higher accuracy.
  • Use tools.media.audio.attachments to process multiple voice notes (mode: "all" + maxAttachments).
  • Transcript is available to templates as {{Transcript}}.
  • CLI stdout is capped (5MB); keep CLI output concise.

​
Gotchas

  • Scope rules use first-match wins. chatType is normalized to direct, group, or room.
  • Ensure your CLI exits 0 and prints plain text; JSON needs to be massaged via jq -r .text.
  • Keep timeouts reasonable (timeoutSeconds, default 60s) to avoid blocking the reply queue.