Thanks — I’m responding to your question about handling CPS (calls‑per‑second) limits from telephony providers like Plivo and Twilio when your LiveKit Python worker needs to trigger hundreds or thousands of outbound calls. Short answer: LiveKit’s

create_sip_participant

call will directly trigger outbound SIP calls, so you must implement rate limiting, queuing, retries, and possibly multi‑trunk distribution in your worker logic to stay within provider CPS limits. What to do (practical steps) 1. Implement rate limiting in the worker • Use an async rate limiter (e.g.,

aiolimiter

,

asyncio.Semaphore

) or a token‑bucket implementation to cap how many

create_sip_participant

calls you issue per second. • Example pattern (concept): ◦ Allow N calls per second (where N ≤ your provider CPS). ◦ Acquire a token before calling

create_sip_participant

. ◦ Release token after call or on failure handling. 1. Batch and queue call requests • Don’t start all calls at once. Push call jobs into a queue (Redis, Celery, RQ, or an in‑process queue) and have workers pull at the allowed rate. • This makes it easy to smooth bursts and add backpressure when your provider throttles. 1. Add retry + exponential backoff for rate errors • Detect provider rate limit responses or SIP error codes and retry with exponential backoff and jitter. • Limit retries to a reasonable number and surface failures for later handling (e.g., mark as failed in DB, alert team). 1. Spread load across multiple trunks or accounts (if permitted) • If your provider allows multiple SIP trunks or accounts, distribute outbound calls across them to increase aggregate CPS. • Ensure trunks are configured correctly and you respect per‑trunk limits. 1. Monitor and adapt • Log provider error responses and CPS throttles. • Implement metrics for attempted calls/sec, successful calls/sec, throttles, and retries. • Auto‑scale worker concurrency conservatively based on observed error rates. 1. Respect provider-specific limits and increase quotas when needed • Check Twilio/Plivo CPS limits for your account and region and request quota increases if your use case requires higher throughput. • Don’t assume LiveKit will throttle for you — the worker must enforce limits. Minimal example (async pattern) • Use an async limiter like

aiolimiter

to allow N calls/sec and await the limiter before calling

create_sip_participant

. Wrap calls in retry logic for rate errors. What I can help with next • If you’d like, tell me: ◦ Your target CPS (per trunk) and total calls you need to place. ◦ Whether you can use multiple trunks/accounts. ◦ Whether you prefer an in‑process rate limiter or an external queue system (Celery/Redis). I can then suggest concrete code (async example using the LiveKit Python API), queue architecture, and retry settings tuned to your numbers. Sources: Agents telephony integration | LiveKit Documentation | Outbound Calling Script | LiveKit Documentation