What this error means

ERROR: failed to create sandbox: create runtime: sandboxd error: status 500: failed to create network: Cannot connect to the Docker daemon at unix://...docker.sock. Is the docker daemon running? is a Docker failure pattern reported for developers trying to fix docker sandboxes sbx run failing on windows 11 because sandboxd in-process moby backend cannot connect to its own socket immediately after starting. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

GitHub Issue docker/sbx-releases#157 (May 2026): Docker Sandboxes v0.30.0 on Windows 11. sandboxd logs show socket serving correctly, but connecting goroutine 10ms later fails with daemon-not-running error. Secondary issue: stale socket files persist on restart ('file cannot be accessed by system'). Reproduced with Docker Desktop 29.4.3 + WSL2. Affects Docker Desktop/Sandboxes paid enterprise users.

Common causes

  • GitHub Issue docker/sbx-releases#157 (May 2026): Docker Sandboxes v0.30.0 on Windows 11. sandboxd logs show socket serving correctly, but connecting goroutine 10ms later fails with daemon-not-running error. Secondary issue: stale socket files persist on restart ('file cannot be accessed by system'). Reproduced with Docker Desktop 29.4.3 + WSL2. Affects Docker Desktop/Sandboxes paid enterprise users.

Quick fixes

  1. Confirm the exact error signature matches ERROR: failed to create sandbox: create runtime: sandboxd error: status 500: failed to create network: Cannot connect to the Docker daemon at unix://...docker.sock. Is the docker daemon running?.
  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.