Flowise · Rate Limits

Flowise Rate Limits

Rate limit definitions for Flowise. Self-hosted Flowise has no built-in request-rate limits beyond what the operator configures (the enterprise build adds per-route rate limiting and restricted domains). Flowise Cloud enforces monthly prediction quotas per plan. Scaffold values reflect the publicly-documented per-tier prediction caps; per-minute caps are listed as scaffold defaults and should be reconciled with the operator's deployed configuration.

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

It captures 5 rate-limit definitions, across the free, starter, pro, enterprise, and self-hosted tiers, measuring predictions_per_month and requests_per_minute.

The profile also includes 4 backoff/retry policies defined and response codes documented for throttled, quotaExceeded, and serviceUnavailable.

Tagged areas include Agents, Agent Workflows, Artificial Intelligence, Large Language Models, and Rate Limiting.

5 Limits Throttle: 429 Quota: 429
AgentsAgent WorkflowsArtificial IntelligenceLarge Language ModelsRate LimitingQuotasThrottling

Limits

Free Tier Predictions workspace
predictions_per_month · month
100
Starter Tier Predictions workspace
predictions_per_month · month
10000
Pro Tier Predictions workspace
predictions_per_month · month
50000
Enterprise Negotiated Predictions contract
predictions_per_month · month
-1
Self-Hosted Default instance
requests_per_minute · minute
-1
Self-hosted Flowise does not enforce request-rate limits by default. The Enterprise build supports configurable per-route rate limiting.

Policies

Backoff Strategy
Clients should implement exponential backoff with jitter and respect Retry-After headers when returned.
Quota Reset
Cloud prediction quotas reset at the start of the workspace's billing cycle.
Enterprise Rate Limiting
Operators of the Flowise Enterprise build can configure per-route rate limiting and restricted domains, exposed in the admin configuration.
Horizontal Scaling
For high-throughput deployments, Flowise supports horizontal scaling via BullMQ workers and a message-queue backplane.