What this error means
OAuth token revoked → run /login; OAuth Request Failed / Internal server error during re-authentication is a Claude Code failure pattern reported for developers trying to fix claude code stuck in auth loop after token revocation; cannot refresh oauth session via /login command. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
GitHub Issue #4107 on anthropics/claude-code reports OAuth token revocation requiring /login, which leads to 'OAuth Request Failed' internal server error. HN discussion (news.ycombinator.com) confirms same pattern. Affects paid subscription users who lose access to coding agent. Category: AI Coding Tools per mapping rules.
Common causes
- GitHub Issue #4107 on anthropics/claude-code reports OAuth token revocation requiring /login, which leads to 'OAuth Request Failed' internal server error. HN discussion (news.ycombinator.com) confirms same pattern. Affects paid subscription users who lose access to coding agent. Category: AI Coding Tools per mapping rules.
Quick fixes
- Confirm the exact error signature matches
OAuth token revoked → run /login; OAuth Request Failed / Internal server error during re-authentication. - 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.