What this error means
no az login device-code flow available, no service-principal credentials injected into sandbox env, no federated identity assertion exposed is a Claude Code failure pattern reported for developers trying to add non-interactive azure cli authentication support in claude code cloud sessions so users can run ad-hoc azure commands without switching to desktop session. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
GitHub Issue #60305 in anthropics/claude-code opened May 18, 2026 by user DKTouchstone — Cloud session users building on Azure cannot authenticate az CLI non-interactively. No OIDC token issuer exposed for federation, no service-principal credentials injection, no az login device-code flow. Current workarounds: Azure MCP server for read ops only, GitHub Actions OIDC for write ops (requires PR workflow), fall back to desktop session for ad-hoc azure work. Blocking SaaS developers using phone-driven cloud sessions. Category mapping: AI Coding Tools (Claude Code cloud sessions with enterprise auth requirements).
Common causes
- GitHub Issue #60305 in anthropics/claude-code opened May 18, 2026 by user DKTouchstone — Cloud session users building on Azure cannot authenticate az CLI non-interactively. No OIDC token issuer exposed for federation, no service-principal credentials injection, no az login device-code flow. Current workarounds: Azure MCP server for read ops only, GitHub Actions OIDC for write ops (requires PR workflow), fall back to desktop session for ad-hoc azure work. Blocking SaaS developers using phone-driven cloud sessions. Category mapping: AI Coding Tools (Claude Code cloud sessions with enterprise auth requirements).
Quick fixes
- Confirm the exact error signature matches
no az login device-code flow available, no service-principal credentials injected into sandbox env, no federated identity assertion exposed. - Check the Claude Code account, local tool state, and provider configuration involved in the failing workflow.
- Reduce request pressure, check quota or plan limits, and retry with backoff instead of immediate repeated requests.
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.