What this error means

APIConnectionError: Connection error — fetchOptions.dispatcher (ProxyAgent from undici) silently ignored by openai-node SDK causing connection errors behind corporate proxies is a OpenAI API failure pattern reported for developers trying to fix openai-node sdk proxy support — dispatcher option not passed through to undici http client when using proxyagent. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

GitHub Issue #1886 (openai/openai-node), created 2026-05-18, 0 comments. Brand new issue. Enterprise developers behind proxies cannot use the OpenAI Node SDK despite passing fetchOptions.dispatcher. This affects all paid users on corporate networks. Category: OpenAI API.

Common causes

  • GitHub Issue #1886 (openai/openai-node), created 2026-05-18, 0 comments. Brand new issue. Enterprise developers behind proxies cannot use the OpenAI Node SDK despite passing fetchOptions.dispatcher. This affects all paid users on corporate networks. Category: OpenAI API.

Quick fixes

  1. Confirm the exact error signature matches APIConnectionError: Connection error — fetchOptions.dispatcher (ProxyAgent from undici) silently ignored by openai-node SDK causing connection errors behind corporate proxies.
  2. Check the OpenAI API account, local tool state, and provider configuration involved in the failing workflow.
  3. Reduce request pressure, check quota or plan limits, and retry with backoff instead of immediate repeated requests.

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.