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Deepgram listens. Your chosen voice responds. Cara-4.1 Express brings the conversation to life with natural facial expression and lip sync, streamed through the Anam JavaScript SDK.

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Speech-to-text setup JavaScript SDK JavaScript SDK source

DEEPGRAM SPEECH-TO-TEXT · SERVER-SIDE

Build with Deepgram and Anam.

Choose Deepgram as the speech-to-text provider in your Anam persona. Your server creates a session token and the Anam JavaScript SDK streams the conversation to your app. Your selected LLM and text-to-speech voice provide the replies.

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// Inside POST /api/anam-session. Keep ANAM_API_KEY on the server.
// avatarId, voiceId, llmId, and systemPrompt come from server config.
// Use Anam catalog IDs for your chosen avatar, TTS voice, and LLM.
const response = await fetch("https://api.anam.ai/v1/auth/session-token", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.ANAM_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    personaConfig: {
      name: "Deepgram STT avatar",
      avatarId,
      avatarModel: "cara-4.1-express",
      voiceId,
      llmId,
      systemPrompt,
      languageCode: "en",
      voiceDetectionOptions: {
        sttProvider: "deepgram",
      },
    },
  }),
});
if (!response.ok) throw new Error("Could not create Anam session");
const { sessionToken } = await response.json();
// Return { sessionToken } as JSON from your /api/anam-session route.

Cara-4.1 Express

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Add a face to your Deepgram STT agent.

Bring Cara-4.1 Express to your app with natural facial expression and lip sync that follows your agent's voice.

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