Rate Limiting

Control AI agent request rates with intelligent throttling to prevent resource exhaustion and ensure fair usage.

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Features

Rate Limiting Capabilities

Requests Per Minute

Set maximum API calls per agent per time window

Token Bucket Algorithm

Smooth rate limiting with burst capacity

Per-Resource Limits

Different limits for different resources

Graceful Degradation

Queue requests instead of hard failures

Configuration

Limit Types

Global rate limits across all agents

Per-agent request quotas

Per-resource access limits

Time-window based throttling

Burst capacity configuration

Priority queue for critical operations

Adaptive rate limiting based on load

Cross-region rate synchronization

Example

Rate Limit Configuration

# Rate Limit Configuration
$ cat rate-limits.yaml
agent:
  name: data-processor
  rate_limits:
    global:
      requests_per_minute: 1000
      burst_capacity: 100
    per_resource:
      database:
        requests_per_minute: 100
      api:
        requests_per_minute: 500
    behavior:
      on_limit_exceeded: queue  # or reject
      queue_timeout: 30s

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