Topic
Rate Limits, Retries & Error Handling
13 posts on rate limits, retries & error handling — part of developer tools on the n4n AI blog.
Why retry storms make rate limiting worse
Retry storms turn transient 429s into outages. Analyze how retry storm rate limiting amplifies throttling and the engineering controls that stop it.
Why idempotency keys matter for LLM API retries
Learn why idempotency keys llm api retries prevent duplicate charges and duplicate generations, with a practical implementation guide for reliable LLM apps.
Understanding OpenAI's 429 rate limit error codes
A precise engineer-focused explainer of the openai 429 rate limit error: triggers, response shape, rate headers, backoff code, and common misconceptions.
Setting per-key rate limits for multi-tenant LLM apps
Learn how to implement per-key rate limits for multi-tenant LLM apps with Redis and middleware, ensuring fair usage and cost control across tenants.
How to queue requests to stay under LLM rate limits
Learn how to queue requests under LLM rate limits with a token-bucket throttle, async worker pool, and retry logic to avoid 429 errors in production.
How n4n absorbs provider rate limits with routing
Learn how routing absorbs provider rate limits with practical fallback patterns, OpenAI-compatible calls, and tradeoffs for production LLM reliability.
Handling 529 overloaded errors from Anthropic's API
Learn how to handle the anthropic 529 overloaded error with retries, backoff, and fallback so your LLM calls stay resilient in production.
Handling 400 vs 500 errors differently in retry logic
Practical guide to 400 vs 500 error retry logic for LLM APIs: classify HTTP codes, retry 5xx with backoff, skip 4xx, and verify with tests.
Debugging silent failures in LLM retry logic
Practical steps to detect and fix silent failures in LLM retry logic, including logging, idempotency, and fallback patterns for reliable inference.
Comparing rate limit headers across OpenAI and Anthropic
A head-to-head comparison of rate limit headers openai anthropic: schema, reset semantics, ergonomics, and how to build resilient clients against both.
Circuit breakers for flaky LLM provider endpoints
A practical guide to implementing a circuit breaker llm provider pattern to stop cascading failures when model endpoints degrade or rate-limit.
Building exponential backoff for LLM API retries
Practical guide to building exponential backoff LLM API retries: classify errors, add jitter, honor Retry-After, and verify with fault injection.
A guide to LLM API error codes across providers
A practical guide to LLM API error codes by provider, covering OpenAI and Anthropic formats, retry logic, and building a unified error handler for production.
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