OpenAI Python SDK v2.34.0: AsyncOpenAI Empty API Key Breaks Local Server Compatibility

What this error means

AsyncOpenAI(api_key="") raises OpenAIError in v2.34.0, breaking OpenAI-compatible local servers is a OpenAI API failure pattern reported for developers trying to fix asyncopenai empty api_key error / openai sdk local server compatibility broken. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

Reported 2026-05-11: v2.34.0 now raises OpenAIError for empty api_key strings. Previously worked for local LLM servers that don’t need authentication.

Common causes

• In v2.34.0, AsyncOpenAI(api_key=”) now raises OpenAIError instead of allowing empty strings. This breaks developers using OpenAI-compatible local servers (Ollama, LM Studio, vLLM) that don’t require real API keys.
• Reported 2026-05-11: v2.34.0 now raises OpenAIError for empty api_key strings. Previously worked for local LLM servers that don’t need authentication.

Quick fixes

1. Confirm the exact error signature matches AsyncOpenAI(api_key="") raises OpenAIError in v2.34.0, breaking OpenAI-compatible local servers.
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.

Sources checked

• https://github.com/openai/openai-python/issues/3224

Evidence note: Reported 2026-05-11: v2.34.0 now raises OpenAIError for empty api_key strings. Previously worked for local LLM servers that don’t need authentication.

Related errors

• OpenAI SDK base_url configuration errors
• OpenAI-compatible server authentication errors

FAQ

What should I check first?

Start with the exact AsyncOpenAI(api_key="") raises OpenAIError in v2.34.0, breaking OpenAI-compatible local servers text and the smallest action that reproduces it.

Can I ignore this error?

No. Treat it as a failed OpenAI API workflow until the root cause is understood.

Is this guaranteed to have one fix?

No. The imported evidence supports the troubleshooting path above, but tool behavior can vary by account, plan, version, provider, and local configuration.

How do I know the fix worked?

Rerun the same command, editor action, or request. The fix is working when that action completes without AsyncOpenAI(api_key="") raises OpenAIError in v2.34.0, breaking OpenAI-compatible local servers.