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Code for each endpoint: Chat Completions, Responses, Messages.

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How NagaAI handles effort

  • One scale for every model. NagaAI converts the level for each model. If a model does not support the level you asked for, NagaAI uses the nearest level it does support.
  • Budgets become levels. In Messages, thinking.budget_tokens maps to a level: 1024 to 8191 is low, up to 32767 is medium, up to 65535 is high, and 65536 or more is xhigh. output_config.effort wins over thinking when you send both. max runs as xhigh.
  • Models without reasoning ignore it. If reasoning_effort is missing from a model’s supported_parameters, NagaAI removes it from the request.
  • Reasoning costs the output price. NagaAI bills reasoning tokens as output, even when the provider hides the reasoning text.

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Multi-turn conversations

Some models need their earlier reasoning back to keep it across tool calls. Send the previous assistant turn back unchanged: the whole Chat Completions message with reasoning_details, the Responses reasoning items, or the Messages thinking blocks with their signature. NagaAI checks where a signature came from and removes signatures that another provider issued, so a conversation can move between providers without errors.