n4nAI

Topic

Rate Limits & API Quotas

6 posts on rate limits & api quotas — part of glossary on the n4n AI blog.

GlossaryDefinition

What is a 429 error and how to handle it gracefully

A precise technical definition of HTTP 429, why it happens with LLM APIs, and battle-tested patterns for retry logic, backoff, and client-side rate limiting.

4 min read
GlossaryDefinition

What are API rate limits and why providers enforce them

Understand what API rate limits are, why providers enforce them, how they work in practice, and common misconceptions that trip up engineers building LLM applications.

5 min read
GlossaryComparison

Tokens per minute vs requests per minute limits explained

Understand how tokens per minute and requests per minute limits interact, which one binds first for your workload, and how to design rate-limit-aware clients.

5 min read
GlossaryHow-to

How to avoid hitting Anthropic's Claude rate limits

A step-by-step guide to avoiding Anthropic Claude rate limits with exponential backoff, request queuing, token optimization, and provider fallback strategies.

4 min read
GlossaryGuide

How OpenAI rate limits scale with usage tier

Understand how OpenAI rate limits scale across usage tiers, with practical strategies for handling limits, monitoring usage, and designing resilient LLM applications.

5 min read
GlossaryGuide

How multi-provider routing helps you avoid rate limits

A practical guide to implementing multi-provider routing that handles rate limits gracefully, with code patterns, fallback strategies, and common pitfalls to avoid.

4 min read