What this error means

panic: crypto: requested hash function #0 is unavailable (Docker daemon crash, Go runtime) is a Docker failure pattern reported for developers trying to fix docker daemon crash caused by missing go crypto hash function — containers become unmanageable after unexpected daemon death.. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

GitHub issue moby/moby#52578: Docker daemon v29.4.1 crashes with panic in go-digest.Algorithm.Hash(). Stack trace points to Go stdlib crypto package. 9 comments, created 2026-05-07. Production-critical runtime crash with clear stack trace. Known regression in 29.4.x series.

Common causes

  • GitHub issue moby/moby#52578: Docker daemon v29.4.1 crashes with panic in go-digest.Algorithm.Hash(). Stack trace points to Go stdlib crypto package. 9 comments, created 2026-05-07. Production-critical runtime crash with clear stack trace. Known regression in 29.4.x series.

Quick fixes

  1. Confirm the exact error signature matches panic: crypto: requested hash function #0 is unavailable (Docker daemon crash, Go runtime).
  2. Check the Docker account, local tool state, and provider configuration involved in the failing workflow.
  3. 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

  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.