What this error means
[BUG] Aws Auth Refresh broken on versions >0.92 — user must manually click auth link every session instead of automatic refresh; regression introduced in 0.93+ is a Claude Code failure pattern reported for developers trying to fix claude code aws bedrock authentication refresh mechanism broken in recent versions; restore automatic session token refresh for enterprise bedrock users. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
GitHub Issue #52978 in anthropics/claude-code (opened Apr 25 2026, noopys). Regression bug breaking AWS Bedrock auth flow — automatic token refresh stopped working in v0.93+. Users forced into manual browser auth each session. Tagged api:bedrock + area:auth + regression + stale. Affects enterprise AWS users. Category mapping: AI Coding Tools (AWS auth regression on paid Claude Code product).
Common causes
- GitHub Issue #52978 in anthropics/claude-code (opened Apr 25 2026, noopys). Regression bug breaking AWS Bedrock auth flow — automatic token refresh stopped working in v0.93+. Users forced into manual browser auth each session. Tagged api:bedrock + area:auth + regression + stale. Affects enterprise AWS users. Category mapping: AI Coding Tools (AWS auth regression on paid Claude Code product).
Quick fixes
- Confirm the exact error signature matches
[BUG] Aws Auth Refresh broken on versions >0.92 — user must manually click auth link every session instead of automatic refresh; regression introduced in 0.93+. - Check the Claude Code account, local tool state, and provider configuration involved in the failing workflow.
- 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
- 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.