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Method: client.GenerateText()

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Example

var client = new Client(apiKey);

var request = new ChatCompletionsRequest(
    model: "openai/gpt-4o-mini",
    messages: new List<ChatMessage> {
        new ChatMessage(new ChatMessageUser(ChatMessageUser.RoleEnum.User, new MessageContentText(MessageContentText.TypeEnum.Text, "Write a limerick about lighthouses.")))
    }
);

var response = client.GenerateText(request);

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Key parameters

  • model (required): Target model id.
  • messages (required): Ordered messages with roles system|user|assistant|tool; content as strings or parts.
  • Sampling: temperature (0–2), top_p (0–1), top_k (>=1), seed (int, optional).
  • Length/penalties: max_output_tokens (int), presence_penalty and frequency_penalty (-2 to 2), stop (string|string[]).
  • Tools: tools (definitions), tool_choice (auto/none/specific tool), max_tool_calls (int), parallel_tool_calls (bool).
  • Logprobs: logprobs (bool), top_logprobs (0–20).
  • Output: response_format (json/text), meta (object passthrough), stream (bool), service_tier.
  • Gateway extras: usage (bool to request usage), meta (bool to include meta block).

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Returns

ChatCompletionsResponse 
{
  "id": "chatcmpl-123",
  "object": "chat.completion",
  "created": 1677652288,
  "model": "gpt-3.5-turbo-0125",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Hello there, how may I assist you today?"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 9,
    "completion_tokens": 12,
    "total_tokens": 21
  }
}