Meeting notetaker

const baseUrl = "https://api.assemblyai.com";
const headers = {
  authorization: "YOUR_API_KEY",
  "Content-Type": "application/json",
};

const audioUrl = "https://assembly.ai/wildfires.mp3";

// Step 1: Transcribe with speaker labels + language detection
let res = await fetch(`${baseUrl}/v2/transcript`, {
  method: "POST",
  headers,
  body: JSON.stringify({
    audio_url: audioUrl,
    speech_models: ["universal-3-pro", "universal-2"],
    language_detection: true,
    speaker_labels: true,
  }),
});
if (!res.ok) throw new Error(`Error: ${res.status}`);
const { id: transcriptId } = await res.json();

let result;
while (true) {
  res = await fetch(`${baseUrl}/v2/transcript/${transcriptId}`, { headers });
  result = await res.json();
  if (result.status === "completed") break;
  if (result.status === "error")
    throw new Error(`Transcription failed: ${result.error}`);
  await new Promise((r) => setTimeout(r, 3000));
}

// Step 2: Identify speakers by name
const understandingRes = await fetch(
  "https://llm-gateway.assemblyai.com/v1/understanding",
  {
    method: "POST",
    headers,
    body: JSON.stringify({
      transcript_id: transcriptId,
      speech_understanding: {
        request: {
          speaker_identification: {
            speaker_type: "name",
            known_values: ["Alice", "Bob"], // Replace with actual participant names
          },
        },
      },
    }),
  }
);
if (!understandingRes.ok) throw new Error(`Error: ${understandingRes.status}`);
const identified = await understandingRes.json();

// Step 3: Format identified transcript for the LLM
const speakerTranscript = identified.utterances
  .map((u) => `${u.speaker}: ${u.text}`)
  .join("\n");

// Step 4: Generate meeting notes via LLM Gateway
res = await fetch("https://llm-gateway.assemblyai.com/v1/chat/completions", {
  method: "POST",
  headers,
  body: JSON.stringify({
    model: "claude-sonnet-4-5-20250929",
    messages: [
      {
        role: "user",
        content:
          "You are a meeting notes assistant. Given the transcript below, produce:\n" +
          "1. A concise summary (3-5 sentences)\n" +
          "2. Key decisions made\n" +
          "3. Action items with owners (use speaker labels)\n\n" +
          `Transcript:\n${speakerTranscript}`,
      },
    ],
    max_tokens: 2000,
  }),
});
if (!res.ok) throw new Error(`Error: ${res.status}`);
const llmResult = await res.json();

console.log("=== Meeting Notes ===\n");
console.log(llmResult.choices[0].message.content);