Text Generation
Last updated January 21, 2026
Use the OpenResponses API to generate text responses from AI models. The input array contains message objects with a role (user or assistant) and content field. The model processes the input and returns a response with the generated text.
generate.ts
const apiKey = process.env.AI_GATEWAY_API_KEY;
const response = await fetch('https://ai-gateway.vercel.sh/v1/responses', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
Authorization: `Bearer ${apiKey}`,
},
body: JSON.stringify({
model: 'openai/gpt-5.4',
input: [
{
type: 'message',
role: 'user',
content: 'Why do developers prefer dark mode?',
},
],
}),
});
const result = await response.json();generate.py
import os
from openai import OpenAI
client = OpenAI(
api_key=os.getenv('AI_GATEWAY_API_KEY'),
base_url='https://ai-gateway.vercel.sh/v1',
)
response = client.responses.create(
model='openai/gpt-5.4',
input=[
{
'type': 'message',
'role': 'user',
'content': 'Why do developers prefer dark mode?',
},
],
)
print(response.output[0].content[0].text)The response includes the generated text in the output array, along with token usage information.
{
"id": "resp_abc123",
"object": "response",
"model": "openai/gpt-5.4",
"output": [
{
"type": "message",
"role": "assistant",
"content": [
{
"type": "output_text",
"text": "Habit and aesthetics reinforce the preference, but ergonomics and contrast are the primary drivers."
}
]
}
],
"usage": {
"input_tokens": 14,
"output_tokens": 18
}
}Was this helpful?