How do you rate-limit an agent so it doesn’t spam third-party APIs?

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Accepted Answer

To effectively rate-limit an agent and prevent spamming third-party APIs, implementing a robust mechanism is crucial. A common approach involves using a token bucket or leaky bucket algorithm, which controls the rate at which requests are sent by only allowing an operation when a "token" is available or by draining requests at a steady pace. Alternatively, a simple request counter within a sliding time window can track and block requests once a predefined limit (e.g., 100 requests per minute) is reached. It's also vital to incorporate exponential backoff and retry strategies; if an API returns a rate-limit error (e.g., HTTP 429), the agent should wait for increasingly longer periods before retrying. Furthermore, ensure these limits are configurable and easily adjustable, allowing dynamic adaptation to API provider policies or changing usage patterns. For distributed agents, a centralized rate-limiting service or shared state might be necessary to enforce global limits across all instances.