What this error means
Runner Azure Blob uploads stall through HTTPS proxy - BlobClient not configured with proxy transport is a GitHub Actions failure pattern reported for developers trying to fix github actions self-hosted runner stalling on azure blob uploads when https_proxy is configured. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
Filed 2026-04-15. Runner's ResultsHttpClient creates BlobClient without HttpClientTransport proxy config. Azure SDK falls back to default transport ignoring HTTPS_PROXY. Causes 75-second stalls and timeouts on all artifact uploads.
Common causes
- Self-hosted runners configured with HTTPS_PROXY experience 75-second stalls on Azure Blob Storage uploads (logs, summaries, artifacts). The BlobClient ignores proxy transport configuration. Affects all enterprises using proxy servers for CI/CD.
- Filed 2026-04-15. Runner's ResultsHttpClient creates BlobClient without HttpClientTransport proxy config. Azure SDK falls back to default transport ignoring HTTPS_PROXY. Causes 75-second stalls and timeouts on all artifact uploads.
Quick fixes
- Confirm the exact error signature matches
Runner Azure Blob uploads stall through HTTPS proxy - BlobClient not configured with proxy transport. - Check the GitHub Actions account, local tool state, and provider configuration involved in the failing workflow.
- 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
- 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.