Methods: client.generate_text(...), client.create_chat_completion(...).
Example
require 'ai_stats_sdk'
client = AIStatsSdk::AIStats.new(api_key: ENV.fetch("AI_STATS_API_KEY"))
response = client.create_chat_completion(
"model" => "openai/gpt-4o-mini",
messages: [
{ "role" => "user", "content" => "Write a limerick about lighthouses." }
],
"temperature" => 0.5
)
Key parameters
model (required): Target model id.
messages (required): Ordered messages with roles user/system/assistant/tool; content as strings.
- 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), metadata (object passthrough), stream (bool), service_tier.
- Gateway extras:
usage (bool to request usage), meta (bool to include meta block).
Returns
ChatCompletionsResponse Last modified on May 6, 2026