What this error means
Cache TTL silently regressed from 1h to 5m causing 20-32% cache creation cost increase is a Claude Code failure pattern reported for developers trying to understand why claude code cache ttl changed from 1 hour to 5 minutes and fix cost inflation. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
335 reactions. Detailed analysis of JSONL session files across 2 machines totaling 119,866 API calls. Cache TTL changed from 1h to 5m in early March 2026. 20-32% increase in cache creation costs. Both Linux and Windows machines show same behavioral shift.
Common causes
- Analysis of 119,866 API calls shows Anthropic silently changed prompt cache TTL from 1h to 5m, causing 20-32% increase in cache creation costs and quota consumption spikes
- 335 reactions. Detailed analysis of JSONL session files across 2 machines totaling 119,866 API calls. Cache TTL changed from 1h to 5m in early March 2026. 20-32% increase in cache creation costs. Both Linux and Windows machines show same behavioral shift.
Quick fixes
- Confirm the exact error signature matches
Cache TTL silently regressed from 1h to 5m causing 20-32% cache creation cost increase. - Check the Claude Code account, local tool state, and provider configuration involved in the failing workflow.
- Reduce request pressure, check quota or plan limits, and retry with backoff instead of immediate repeated requests.
Platform/tool-specific checks
- Verify the command, editor, extension, or API client that produced the error.
- Compare local settings with CI, deployment, or editor-level settings when the error appears in only one environment.
- Avoid deleting credentials, local model data, or project settings until the failing scope is clear.
Step-by-step troubleshooting
- Capture the exact error message and the command, editor action, or request that triggered it.
- Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
- Review the source evidence below and compare it with your environment.
- Apply one change at a time and rerun the smallest failing action.
- Keep the working fix documented for the team or deployment environment.
How to prevent it
- Keep provider/tool configuration documented.
- Record non-secret diagnostics such as tool version, provider name, model name, and command path.
- Add a lightweight check before CI or production workflows depend on the tool.