What this error means
cache_creation=1416 cache_read=2227 uncached_input=8 — server writes additional cache entries past explicit cache_control breakpoint is a Anthropic API failure pattern reported for developers trying to fix unexpected cache write charges on anthropic api when using explicit cache_control breakpoint. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
GitHub issue #1547 on anthropic-sdk-python: server writes additional cache entry inside user content on warm calls despite only one explicit cache_control marker. Billed at 1.25x for tokens never read back. Reproducible on SDK 0.102.0 and 0.79.0, confirming server-side behavior. Direct billing impact for paying Anthropic API users.
Common causes
- GitHub issue #1547 on anthropic-sdk-python: server writes additional cache entry inside user content on warm calls despite only one explicit cache_control marker. Billed at 1.25x for tokens never read back. Reproducible on SDK 0.102.0 and 0.79.0, confirming server-side behavior. Direct billing impact for paying Anthropic API users.
Quick fixes
- Confirm the exact error signature matches
cache_creation=1416 cache_read=2227 uncached_input=8 — server writes additional cache entries past explicit cache_control breakpoint. - Check the Anthropic API account, local tool state, and provider configuration involved in the failing workflow.
- Compare the failing environment with a known working setup, then change one configuration value at a time.
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.