What this error means
Agent SDK crashes on 429 rate limit — no exponential backoff or retry implemented is a Claude Code failure pattern reported for developers trying to developer expects sdk to auto-retry on 429 but agent crashes outright; needs robust retry/backoff for production reliability. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
GitHub issue #812 on anthropics/claude-agent-sdk-python — title explicitly states SDK crashes on 429 instead of backing off/retrying. Production deployment blocker for paid teams using Claude Code SDK. No overlap with existing covered errors (which cover manual rate limit handling, not SDK-level crash behavior). Category: AI Coding Tools (Claude Code).
Common causes
- GitHub issue #812 on anthropics/claude-agent-sdk-python — title explicitly states SDK crashes on 429 instead of backing off/retrying. Production deployment blocker for paid teams using Claude Code SDK. No overlap with existing covered errors (which cover manual rate limit handling, not SDK-level crash behavior). Category: AI Coding Tools (Claude Code).
Quick fixes
- Confirm the exact error signature matches
Agent SDK crashes on 429 rate limit — no exponential backoff or retry implemented. - 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.