What this error means
API Error: 400 Invalid 'user_id': string does not match pattern. Expected a string that matches the pattern '^[a-zA-Z0-9_-]+$' is a Claude Code failure pattern reported for developers trying to fix claude code agent api 400 error when user_id contains invalid characters. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
Claude Code Agent returns 400 API error when user_id doesn't match pattern ^[a-zA-Z0-9_-]+$. 16 comments indicate multiple affected users. Clear error signature from Anthropic API validation layer.
Common causes
- Developers using Claude Agent (Claude Code's agent mode) get a 400 error when their user_id doesn't match the expected pattern. This blocks agent workflows and affects teams with non-standard naming conventions.
- Claude Code Agent returns 400 API error when user_id doesn't match pattern ^[a-zA-Z0-9_-]+$. 16 comments indicate multiple affected users. Clear error signature from Anthropic API validation layer.
Quick fixes
- Confirm the exact error signature matches
API Error: 400 Invalid 'user_id': string does not match pattern. Expected a string that matches the pattern '^[a-zA-Z0-9_-]+$'. - Check the Claude Code 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.