What this error means

Anthropic API Error 400: unsupported anthropic_beta flags rejected by Bedrock is a Claude Code failure pattern reported for developers trying to fix claude code sending unsupported beta flags to aws bedrock causing 400 errors. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

10 reactions. Regression in v2.1.129. Bedrock rejects anthropic_beta flags with 400. Flags: interleaved-thinking-2025-05-14, tool-search-tool-2025-10-19, extended-cache-ttl-2025-04-11. Works on v2.1.119 stable.

Common causes

  • Claude Code v2.1.129 regression sends anthropic_beta array (interleaved-thinking, tool-search-tool, extended-cache-ttl) that Bedrock does not recognize, breaking all Bedrock-based Claude Code usage
  • 10 reactions. Regression in v2.1.129. Bedrock rejects anthropic_beta flags with 400. Flags: interleaved-thinking-2025-05-14, tool-search-tool-2025-10-19, extended-cache-ttl-2025-04-11. Works on v2.1.119 stable.

Quick fixes

  1. Confirm the exact error signature matches Anthropic API Error 400: unsupported anthropic_beta flags rejected by Bedrock.
  2. Check the Claude Code account, local tool state, and provider configuration involved in the failing workflow.
  3. 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

  1. Capture the exact error message and the command, editor action, or request that triggered it.
  2. Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
  3. Review the source evidence below and compare it with your environment.
  4. Apply one change at a time and rerun the smallest failing action.
  5. 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.