Code #4322
RapidAPI GPT Chat Completion
This code demonstrates how to make an asynchronous POST request to the RapidAPI GPT chat completions endpoint, sending a user message and processing the AI's response.
Code
// main.js
/**
* Asynchronously calls the RapidAPI GPT chat completions endpoint
* with a predefined message and processes the response.
*
* @param {object} ctx - The context object (can be used for additional parameters or state).
* @returns {Promise<object>} A promise that resolves to an object containing the AI's answer.
* @throws {Error} Throws an error if the API request fails or returns a non-200 status.
*/
export default async function main(ctx) {
// Retrieve the RapidAPI key from environment variables for secure access.
// It's crucial not to hardcode API keys directly in the code.
const apiKey = process.env.RAPIDAPI_KEY;
// Define the URL for the RapidAPI GPT chat completions endpoint.
const url = 'https://double-gpt.p.rapidapi.com/chat/completions';
// Prepare the request body according to the API's specifications.
// This includes the desired AI model and a list of messages.
const data = {
model: 'gpt-5',
messages: [
{
role: 'user',
content: 'How many days in 3 weeks.'
}
]
};
// Execute the asynchronous HTTP POST request to the API.
// The 'fetch' API is used for making network requests.
const res = await fetch(url, {
method: 'POST',
headers: {
// RapidAPI host and key headers are required for authentication.
'x-rapidapi-key': apiKey,
'x-rapidapi-host': 'double-gpt.p.rapidapi.com',
// 'Content-Type' header indicates that the request body is JSON.
'Content-Type': 'application/json'
},
// Convert the JavaScript object 'data' into a JSON string for the request body.
body: JSON.stringify(data)
});
// Check if the HTTP response status indicates an error (e.g., 4xx or 5xx).
if (!res.ok) {
// If there's an error, throw an exception with the status code and response text.
throw new Error(`Error: ${res.status} - ${await res.text()}`);
}
// Parse the JSON response body into a JavaScript object.
const json = await res.json();
// Extract the AI's answer from the parsed JSON response.
// Uses optional chaining (?.) to safely access nested properties and nullish coalescing (??)
// to provide 'null' if the content is not found.
const answer = json.choices?.[0]?.message?.content ?? null;
// Log the full raw response for debugging purposes.
console.log('Resposta bruta:', JSON.stringify(json, null, 2));
// Log just the extracted text answer.
console.log('Só o texto:', answer);
// Return the extracted answer.
return { answer };
}
Prompt: export default async function main(ctx) {
const apiKey = process.env.RAPIDAPI_KEY;
const url = "https://double-gpt.p.rapidapi.com/chat/completions";
const data = {
model: "gpt-5",
messages: [
{
role: "user",
content: "How many days in 3 weeks."
}
]
};
const res = await fetch(url, {
method: "POST",
headers: {
"x-rapidapi-key": apiKey,
"x-rapidapi-host": "double-gpt.p.rapidapi.com",
"Content-Type": "application/json"
},
body: JSON.stringify(data)
});
if (!res.ok) {
throw new Error(`Erro: ${res.status} - ${await res.text()}`);
}
const json = await res.json();
const answer = json.choices?.[0]?.message?.content ?? null;
console.log("Resposta bruta:", JSON.stringify(json, null, 2));
console.log("Só o texto:", answer);
return { answer };
}
Gemini 2.5 Flash