What this error means

Service marked as 'unhealthy' in docker-compose ps output after container restart or update is a Docker failure pattern reported for developers trying to diagnose why docker compose service remains in unhealthy state after restart; fix healthcheck configuration, dependency ordering, or resource constraints. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

Widely-searched Docker pattern not yet covered on dev-error-db. Unhealthy state is a distinct diagnosis surface from 'cannot connect to daemon'. Covers cases where healthcheck misconfiguration or slow startup causes persistent unhealthy flag, breaking orchestration. Category mapping: Docker Compose → Docker per SKILL.md exact mapping.

Common causes

  • Widely-searched Docker pattern not yet covered on dev-error-db. Unhealthy state is a distinct diagnosis surface from 'cannot connect to daemon'. Covers cases where healthcheck misconfiguration or slow startup causes persistent unhealthy flag, breaking orchestration. Category mapping: Docker Compose → Docker per SKILL.md exact mapping.

Quick fixes

  1. Confirm the exact error signature matches Service marked as 'unhealthy' in docker-compose ps output after container restart or update.
  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.