What this error means

AzureOpenAI client uses example-resource.azure.openai.com instead of correct {resource}.openai.azure.com subdomain order — copy-paste of example code hits DNS resolution or TLS handshake errors against real resources is a OpenAI API failure pattern reported for developers trying to fix azure openai example endpoint url typo causing dns/tls failures when developers copy-paste working example code. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

GitHub PR #3298 in openai/openai-python corrects swapped Azure endpoint hostname in examples/azure.py. Second AzureOpenAI client uses the wrong subdomain format (example-resource.azure.openai.com instead of {resource}.openai.azure.com). Developers copying the example hit immediate DNS/TLS errors against their own Azure resources. Affects paid Azure OpenAI users who follow docs/examples. Category mapping: OpenAI API (paid Azure OpenAI integration error, directly blocks usage).

Common causes

  • GitHub PR #3298 in openai/openai-python corrects swapped Azure endpoint hostname in examples/azure.py. Second AzureOpenAI client uses the wrong subdomain format (example-resource.azure.openai.com instead of {resource}.openai.azure.com). Developers copying the example hit immediate DNS/TLS errors against their own Azure resources. Affects paid Azure OpenAI users who follow docs/examples. Category mapping: OpenAI API (paid Azure OpenAI integration error, directly blocks usage).

Quick fixes

  1. Confirm the exact error signature matches AzureOpenAI client uses example-resource.azure.openai.com instead of correct {resource}.openai.azure.com subdomain order — copy-paste of example code hits DNS resolution or TLS handshake errors against real resources.
  2. Check the OpenAI API 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.