Method: client.GenerateText(...) or client.CreateChatCompletion(...)
Example
using AiStatsSdk;
var client = new AIStats(apiKey);
var response = await client.GenerateText(new Dictionary<string, object>
{
["model"] = "openai/gpt-5-nano",
["messages"] = new[]
{
new Dictionary<string, object>
{
["role"] = "user",
["content"] = "Write a limerick about lighthouses."
}
}
});
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).
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
}
}
Last modified on May 6, 2026
