What this error means
[Bug] append_messages() inside tool runner loop causes infinite loop (advanced usage docs example) is a Anthropic API failure pattern reported for developers trying to fix infinite loop in anthropic sdk tool runner when calling append_messages() inside the loop iteration — tool results never reach history causing model to re-call same tool. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
GitHub Issue #1536 in anthropics/anthropic-sdk-python, fixed by PR #1594 (opened May 23, 2026). Root cause: _messages_modified flag set by append_messages bypasses auto-append of assistant message + tool result. This matches the official documentation example. Not in covered-errors.md.
Common causes
- GitHub Issue #1536 in anthropics/anthropic-sdk-python, fixed by PR #1594 (opened May 23, 2026). Root cause: _messages_modified flag set by append_messages bypasses auto-append of assistant message + tool result. This matches the official documentation example. Not in covered-errors.md.
Quick fixes
- Confirm the exact error signature matches
[Bug] append_messages() inside tool runner loop causes infinite loop (advanced usage docs example). - 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.