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OpenAI API

OpenAI API 400: unsupported parameter with reasoning models

12 May 2026 HowProg.one 506
All fixes
OpenAI API 400: unsupported parameter with reasoning models

Fix 400 errors caused by sending unsupported parameters such as temperature, top_p, or response_format to reasoning models.

Symptom

Your AI coding tool or backend integration fails immediately after switching models or upgrading the SDK. The request reaches the API, but the response is a 400 Bad Request.

BadRequestError: 400 Unsupported parameter: 'temperature' is not supported with this model.

Likely Cause

Reasoning-focused models expose a smaller or different parameter surface than older chat models. Agent frameworks often reuse a default configuration that includes sampling parameters, response format options, or tool settings the selected model does not accept.

Fast Fix

  • Remove unsupported sampling options from the request for the affected model.
  • Keep model-specific request builders instead of sharing one global config across all models.
  • Upgrade the SDK and check the model capability table before enabling structured output or tool options.
  • Log the final payload sent by the agent, not only the high-level prompt.

Verification

Run a minimal request with only the model and input. Add parameters back one by one until the failing option is identified. Keep this minimal request as a regression test for future model upgrades.

Prevention

Create a small compatibility map in your app: model name, supported controls, structured output mode, tool mode, and retry behavior. AI agents fail less mysteriously when the request layer validates options before sending them.


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