What this error means
API error 400: The provider does not support the prompt-caching-scope-2026-01-05 beta header is a Claude Code failure pattern reported for developers trying to fix claude code sending prompt-caching beta header to custom api endpoints (anthropic_base_url) when caching is disabled. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
GitHub issue #21644 in anthropics/claude-code: With enablePromptCaching=false and useAnthropicBetaHeaders=false set in VS Code settings.json, and a custom ANTHROPIC_BASE_URL that doesn't support prompt-caching-scope-2026-01-05, the beta header is still sent, causing API errors when using claude-4.5-opus model.
Common causes
- Even when users explicitly disable prompt caching in VS Code settings (claudeCode.enablePromptCaching: false) and unset beta headers (claudeCode.useAnthropicBetaHeaders: false), Claude Code v2.1.23 still sends the 'prompt-caching-scope-2026-01-05' beta header to custom API endpoints. This breaks integration with self-hosted or proxy API servers that don't support the beta.
- GitHub issue #21644 in anthropics/claude-code: With enablePromptCaching=false and useAnthropicBetaHeaders=false set in VS Code settings.json, and a custom ANTHROPIC_BASE_URL that doesn't support prompt-caching-scope-2026-01-05, the beta header is still sent, causing API errors when using claude-4.5-opus model.
Quick fixes
- Confirm the exact error signature matches
API error 400: The provider does not support the prompt-caching-scope-2026-01-05 beta header. - 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.