Gemini 3.1 pro preview

import { GeminiClient } from "@runapi.ai/gemini";

const client = new GeminiClient();
const result = await client.chatCompletion.run({
    model: "gemini-3.1-pro-preview",
    messages: [{"role":"user","content":"Analyze this codebase and suggest three performance improvements with before/after examples."}],
});

import os
import requests

response = requests.post(
    "https://runapi.ai/v1/chat/completions",
    headers={"Authorization": f"Bearer {os.environ['RUNAPI_API_KEY']}"},
    json={"model":"gemini-3.1-pro-preview","messages":[{"role":"user","content":"Analyze this codebase and suggest three performance improvements with before/after examples."}]}
)
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' => 'gemini-3.1-pro-preview',
        'messages' => [['role' => 'user', 'content' => 'Analyze this codebase and suggest three performance improvements with before/after examples.']],
    ])
]);
$response = curl_exec($client);

RunApi client = new RunApi(System.getenv("RUNAPI_API_KEY"));
Task task = client.chatCompletion().run({"model":"gemini-3.1-pro-preview","messages":[{"role":"user","content":"Analyze this codebase and suggest three performance improvements with before/after examples."}]});
task.waitForResult();

require "runapi/gemini"

client = RunApi::Gemini::Client.new
result = client.chat_completion.run(
    model: "gemini-3.1-pro-preview",
    messages: [{role: "user", content: "Analyze this codebase and suggest three performance improvements with before/after examples."}]
)

client := runapi.NewClient(os.Getenv("RUNAPI_API_KEY"))
task, err := client.chatCompletion.Run({"model":"gemini-3.1-pro-preview","messages":[{"role":"user","content":"Analyze this codebase and suggest three performance improvements with before/after examples."}]})
if err != nil { log.Fatal(err) }
task.Wait()

$ runapi generate \
    --model gemini-3.1-pro-preview \
    --endpoint chat_completion \
    --wait