LiveKit · Rate Limits

Livekit Rate Limits

LiveKit Cloud caps are tier-dependent and usage-driven. Common caps include max concurrent participants per room, max simultaneous rooms, max egress jobs in flight, and Agents session concurrency. Self-hosted LiveKit limits are operator-controlled by VM and SFU sizing.

Livekit Rate Limits is the machine-readable rate-limit profile for LiveKit on the APIs.io network, conforming to the API Commons Rate Limits specification.

It captures 3 rate-limit definitions, measuring concurrent_participants, concurrent_jobs, and concurrent_sessions.

The profile also includes 2 backoff/retry policies defined and response codes documented for throttled.

Tagged areas include Realtime, WebRTC, and Rate Limiting.

3 Limits Throttle: 429
RealtimeWebRTCRate Limiting

Limits

Participants per room (typical default) room
concurrent_participants
1000
Simultaneous Egress jobs (typical) project
concurrent_jobs
25
Agents concurrent sessions (typical) project
concurrent_sessions
100
Tier-dependent; raised under Scale plan.

Policies

Room sharding
For very large rooms, shard participants across multiple LiveKit rooms with media-server fanout.
Backoff Strategy
Honor 429 Retry-After and apply exponential backoff with jitter on Twirp calls.

Sources

Work with this as data

Every rate limit here is available over the APIs.io API and to AI agents over MCP.

MCP server

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https://apis.io/mcp

Tools for rate limits

4 MCP tools reach this
  • find_rate_limitsBrowse and filter every rate limit in the catalog.
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
All 92 tools →

Call it yourself

curl for this page
This rate limit 
curl "https://apis.io/api/v1/rate-limits/livekit-rate-limits"
All rate limits 
curl "https://apis.io/api/v1/rate-limits?limit=25"

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