Meeting Bots on Butterbase
Guide for building features that spawn meeting bots via ctx.ai.meetings. Covers the four SDK methods, webhook handling, idempotency, and cost-aware design.
1. When to Use
Reach for this skill when your feature involves any of:
- Meeting notetaker — bot joins a recurring standup or sales call and stores a transcript.
- Sales call enricher — join a customer call, wait for
bot.done, then run an LLM over the transcript to populate a CRM record. - Interview pipeline — record and transcribe candidate interviews, then score against a rubric.
- Voice-of-customer transcripts — capture support or discovery calls; feed chunks into a RAG collection for future search.
If you need only audio/video file upload without a live meeting join, use manage_storage instead.
2. The Four SDK Methods
| Method | What it does | One-line example |
|---|---|---|
bb.ai.meetings.start(opts) |
Spawns a bot and returns immediately with status: "joining" |
const { data: bot } = await bb.ai.meetings.start({ meetingUrl, transcript: true }) |
bb.ai.meetings.get(id) |
Fetches current status + artifact URLs | const { data } = await bb.ai.meetings.get(bot.id) |
bb.ai.meetings.stop(id) |
Removes the bot from the call early | await bb.ai.meetings.stop(bot.id) |
bb.ai.meetings.list(opts) |
Lists bots with optional status, limit, cursor filters |
await bb.ai.meetings.list({ status: 'done', limit: 50 }) |
All methods return { data, error } — always check error before using data.
3. Typical Flow
- Configure webhook — call
manage_aiwithaction: "configure_meetings_webhook", passingforward_urlpointing at a deployed Butterbase function or your own endpoint. - Start the bot — app calls
bb.ai.meetings.start(...). Status begins asjoining. - Bot joins — status progresses
joining → waiting_room → in_call → recording. Thebot.in_call_recordingevent fires. - Call ends — bot status moves to
ended, thendoneonce artifacts are processed. - Webhook fires
bot.done— your handler receives the event. The bot'srecordingUrlandtranscriptUrlare now populated. - Fetch artifacts — download the recording or transcript using the URLs from
bb.ai.meetings.get(id). - Write to substrate / database — store the transcript text, link to the relevant entity (deal, candidate, customer), or insert into a RAG collection.
- Trigger downstream extract — run an LLM summarization, action-item extraction, or scoring job.
4. Webhook Handler Skeleton
Deploy this as a Butterbase function with trigger: { type: "http", config: { method: "POST", auth: "none" } }.
export async function handler(req: Request, ctx: any): Promise<Response> {
const event = req.headers.get('x-bb-event');
const body = await req.text();
const payload = JSON.parse(body);
const botId: string = payload.data?.bot_id ?? payload.data?.id;
// Idempotency: skip if we already processed this bot + event combo.
const claimed = await ctx.idempotency.claim(`meeting:${botId}:${event}`);
if (!claimed) {
return new Response('duplicate', { status: 200 });
}
switch (event) {
case 'bot.done': {
// Artifacts are ready — store a reference or kick off extraction.
await ctx.db.query(
`UPDATE meeting_jobs SET status = 'done', bot_id = $1 WHERE external_ref = $2`,
[botId, payload.data?.metadata?.jobRef ?? botId]
);
break;
}
case 'transcript.done': {
// Transcript artifact URL is now available. Kick off downstream processing.
await ctx.db.query(
`INSERT INTO transcript_queue (bot_id, created_at) VALUES ($1, now())`,
[botId]
);
break;
}
case 'bot.fatal': {
await ctx.db.query(
`UPDATE meeting_jobs SET status = 'fatal' WHERE bot_id = $1`,
[botId]
);
break;
}
default:
// Other events (bot.in_call_recording, recording.done, transcript.failed) — handle as needed.
break;
}
return new Response('ok', { status: 200 });
}
Key points:
- Use
ctx.idempotency.claim(key)— the meetings service may retry for up to 24 hours. - Verify
x-bb-key-idmatches the first 16 characters of your current webhook secret to detect stale post-rotation events. - Return
200even for events you don't handle — a non-2xx response triggers a retry.
5. Cost-Aware Design
Before dispatching a bot in a user-pays context, call estimateCost and surface the projected charge:
const { data: estimate } = await bb.ai.meetings.estimateCost({
durationMinutes: 60,
transcript: true,
});
// estimate.usd — show this to the user or check against a quota
Rates (v1):
| Dimension | Rate |
|---|---|
| Recording (mp4 or audio_only) | $0.50/hr + markup, prorated per second |
| Transcription | $0.15/hr + markup, prorated per second |
Both charges are applied against the app's AI credit balance once the bot reaches done.
For user-pays apps, hold a projected credit reservation at bot-start time and display a live cost counter using the bot's current duration (polled from bb.ai.meetings.get).
6. Vendor-Neutral Note
The underlying meetings infrastructure may change providers without notice. Do not depend on undocumented fields in the event payload or on provider-specific bot behavior.
7. What This Skill Does NOT Cover
- Real-time streaming transcripts — word-by-word transcript streaming during an active call is on the roadmap; not available in v1.
- Multi-region bot routing — all bots are spawned from US East in v1; per-region dispatch is on the roadmap.
- Browser-side recording —
ctx.ai.meetingsmust be called from a serverless function or server-side code, not directly from the browser. Use a Butterbase function as a backend proxy.