GPT 4o mini

import { GptClient } from "@runapi.ai/gpt";

const client = new GptClient();
const result = await client.chatCompletion.run({
    model: "gpt-4o-mini",
    messages: [{"role":"user","content":"Analyze this quarterly revenue data and produce a summary with key trends, anomalies, and three recommendations."}],
});

import os
import requests

response = requests.post(
    "https://runapi.ai/v1/chat/completions",
    headers={"Authorization": f"Bearer {os.environ['RUNAPI_API_KEY']}"},
    json={"model":"gpt-4o-mini","messages":[{"role":"user","content":"Analyze this quarterly revenue data and produce a summary with key trends, anomalies, and three recommendations."}]}
)
response.raise_for_status()

<?php

$client = curl_init("https://runapi.ai/v1/chat/completions");
curl_setopt_array($client, [
    CURLOPT_HTTPHEADER => ["Authorization: Bearer " . getenv("RUNAPI_API_KEY"), "Content-Type: application/json"],
    CURLOPT_POSTFIELDS => json_encode([
        'model' => 'gpt-4o-mini',
        'messages' => [['role' => 'user', 'content' => 'Analyze this quarterly revenue data and produce a summary with key trends, anomalies, and three recommendations.']],
    ])
]);
$response = curl_exec($client);

RunApi client = new RunApi(System.getenv("RUNAPI_API_KEY"));
Task task = client.chatCompletion().run({"model":"gpt-4o-mini","messages":[{"role":"user","content":"Analyze this quarterly revenue data and produce a summary with key trends, anomalies, and three recommendations."}]});
task.waitForResult();

require "runapi/gpt"

client = RunApi::Gpt::Client.new
result = client.chat_completion.run(
    model: "gpt-4o-mini",
    messages: [{role: "user", content: "Analyze this quarterly revenue data and produce a summary with key trends, anomalies, and three recommendations."}]
)

client := runapi.NewClient(os.Getenv("RUNAPI_API_KEY"))
task, err := client.chatCompletion.Run({"model":"gpt-4o-mini","messages":[{"role":"user","content":"Analyze this quarterly revenue data and produce a summary with key trends, anomalies, and three recommendations."}]})
if err != nil { log.Fatal(err) }
task.Wait()

$ runapi generate \
    --model gpt-4o-mini \
    --endpoint chat_completion \
    --wait