What this error means

docker compose pull does not update images used in volumes with type=image is a Docker failure pattern reported for developers trying to fix docker compose pull silently skipping volume images so containers run stale image versions. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

GitHub issue #13809 shows docker compose pull not pulling new image versions when images are mounted as volume sources. Users expect pull to update all referenced images. Production deployments may silently use outdated code. Docker P0 tech, tier bonus +1 applied.

Common causes

  • GitHub issue #13809 shows docker compose pull not pulling new image versions when images are mounted as volume sources. Users expect pull to update all referenced images. Production deployments may silently use outdated code. Docker P0 tech, tier bonus +1 applied.

Quick fixes

  1. Confirm the exact error signature matches docker compose pull does not update images used in volumes with type=image.
  2. Check the Docker account, local tool state, and provider configuration involved in the failing workflow.
  3. Verify the model name, local service connectivity, and network access before retrying the model pull.

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.