What this error means

API Error: 403 {"type":"error","error":{"type":"permission_error","message":"Permission denied"}} is a Anthropic API failure pattern reported for developers trying to fix 403 permission_error when logging into claude code cli — keychain entry deletion fails and login returns permission denied. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

GitHub issue on claude-code repo: users on macOS get 403 permission_error during /login command. Root cause involves SecKeychainSearchCopyNext failing to delete keychain entries, followed by Anthropic API rejecting with permission_error. High commercial value: blocks authenticated API access entirely. Category mapping: Anthropic API because the core error is a permission_error from the API layer.

Common causes

  • GitHub issue on claude-code repo: users on macOS get 403 permission_error during /login command. Root cause involves SecKeychainSearchCopyNext failing to delete keychain entries, followed by Anthropic API rejecting with permission_error. High commercial value: blocks authenticated API access entirely. Category mapping: Anthropic API because the core error is a permission_error from the API layer.

Quick fixes

  1. Confirm the exact error signature matches API Error: 403 {"type":"error","error":{"type":"permission_error","message":"Permission denied"}}.
  2. Check the Anthropic API account, local tool state, and provider configuration involved in the failing workflow.
  3. Verify the account session, API key, provider settings, and environment where the failing tool is running.

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.