Rate Limiting & Throttling Agent Calls

Key Concepts

• 1Agents can generate high call volume — to LLMs, tools, and internal APIs — so rate limiting protects shared systems from overload and runaway cost
• 2Limits exist at multiple layers: the LLM provider's limits, your own API limits, and downstream tool limits, and the agent must respect all of them
• 3Throttling and backoff (retry with increasing delay) handle transient limit hits gracefully instead of failing the conversation
• 4Per-tenant and per-user quotas prevent one heavy consumer from exhausting shared capacity (the noisy-neighbor problem from multi-tenant design)
• 5A runaway agent (a loop, a retry storm, an injection-driven flood) can rack up cost fast, so limits are a cost-control and safety mechanism, not just performance
• 6Prioritization under limits matters: when throttled, protect high-value flows (checkout) over low-value ones (idle browsing)
• 7Graceful degradation on limit exhaustion — a fallback path, a queue, or a polite wait — beats a hard error at the point of sale

Why It Matters for PMs

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