Topic
Error Handling & Status Codes
13 posts on error handling & status codes — part of api integration on the n4n AI blog.
What causes a 402 payment required error in LLM APIs
A 402 payment required error llm api status code means your account lacks credit or valid billing to cover inference cost. Learn causes, handling, and myths.
Timeout tuning for LLM API requests: best practices
Practical guide to LLM API request timeout best practices: set connect and read timeouts, use retries and streaming, and avoid common latency pitfalls.
Streaming errors in LLM APIs: how to detect and recover
Practical guide to llm api streaming error handling: detect SSE failures, parse error events, implement reconnection, and recover from truncated streams.
n4n error codes vs OpenAI error codes: a comparison
A head-to-head comparison of n4n vs openai error codes across wire format, capabilities, cost, latency, ergonomics, and limits for LLM gateway integrations.
Idempotency keys for LLM API requests: why they matter
Learn why idempotency keys llm api prevent duplicate charges and inconsistent outputs on retries, with a practical implementation guide for engineers.
How to build a circuit breaker for LLM API calls
Build a circuit breaker for LLM API calls in Python to stop cascading failures, with timeout, fallback, and half-open state code examples.
Debugging 500 vs 503 errors from LLM providers
Learn how to distinguish and handle 500 vs 503 error llm provider responses with practical steps, retry logic, and fallback patterns for production.
Content moderation errors: handling 400 flagged responses
Learn how to detect and handle content moderation 400 error llm api responses with practical steps, code samples, and verification tips for engineers.
Structured error handling for multi-provider LLM routing
Practical patterns for multi-provider LLM error handling: typed exceptions, retry budgets, fallback chains, and parsing provider status codes correctly.
Retry with exponential backoff for LLM API calls
Implement a robust exponential backoff llm api retry pattern in Python: handle 429s, 5xx, and network errors with jitter, caps, and tests.
LLM API status codes explained: 400 to 504
A precise engineer's reference for LLM API status codes explained from 400 to 504, covering causes, retries, and handling patterns for production systems.
How to handle 429 rate limit errors from LLM APIs
Practical patterns to handle 429 rate limit error llm api responses with backoff, jitter, circuit breakers, and gateway fallback for resilient LLM integrations.
Handling context length exceeded errors in the OpenAI API
Step-by-step guide for engineers to handle the context length exceeded error openai returns: count tokens, truncate prompts, switch models, and verify.
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