Reliability

A mental model for the common failure modes that break Claude apps at scale, and a map of where each one is handled in depth elsewhere in this section.

Learn to troubleshoot and improve Claude API reliability. This guide provides 10 Python examples for logging, monitoring, and diagnosing API errors.

Diagnose 429 rate-limit errors from the Claude API by identifying specific limits, differentiating quota ceilings from traffic bursts, and implementing diagnostic logging.

Learn to catch, repair, and log malformed tool-use JSON and schema validation failures to prevent agent crashes and state corruption.

Prevent context overflow and streaming disconnects. Learn to manage context, chunk output, and recover from dropped streaming connections.

Learn best practices for detecting, triaging, and preventing Claude API production failures. Implement observability foundations, structured logging, and error classification.

A single-page roundup of every highlight bullet from the 9 pages in the Reliability section, grouped by source page so you can scan all 54 takeaways without opening each article individually.