Text Generation

import { ModelGates } from '@modelgates/agent'; const modelgates = new ModelGates({  apiKey: process.env.MODELGATES_API_KEY,}); const result = modelgates.callModel({  model: 'openai/gpt-5-nano',  input: 'Explain quantum computing in one sentence.',}); const text = await result.getText();

const result = modelgates.callModel({  model: 'openai/gpt-5-nano',  input: 'What is the speed of light?',});

const result = modelgates.callModel({  model: 'openai/gpt-5-nano',  input: [    { role: 'user', content: 'My name is Alice.' },    { role: 'assistant', content: 'Hello Alice! How can I help you today?' },    { role: 'user', content: 'What is my name?' },  ],});

const result = modelgates.callModel({  model: 'openai/gpt-5.2',  input: [    {      type: 'message',      role: 'user',      content: [        { type: 'input_text', text: 'What is in this image?' },        {          type: 'input_image',          imageUrl: 'https://example.com/image.jpg',          detail: 'auto',        },      ],    },  ],});

const result = modelgates.callModel({  model: 'openai/gpt-5-nano',  instructions: 'You are a helpful coding assistant. Be concise and provide working code examples.',  input: 'How do I read a file in Node.js?',});

const result = modelgates.callModel({  model: 'anthropic/claude-sonnet-4.5',  input: 'Hello!',});

const result = modelgates.callModel({  models: ['anthropic/claude-sonnet-4.5', 'openai/gpt-5.2', 'google/gemini-pro'],  input: 'Hello!',});

const text = await result.getText();console.log(text); // "The speed of light is approximately 299,792 km/s."

const response = await result.getResponse(); console.log(response.output);     // Full output arrayconsole.log(response.usage);      // Token usage information // Usage includes:// - inputTokens: tokens in the prompt// - outputTokens: tokens generated// - cachedTokens: tokens served from cache (cost savings)

const result = modelgates.callModel({  model: 'openai/gpt-5-nano',  input: 'Write a creative story.',   // Temperature: 0 = deterministic, 2 = very creative  temperature: 0.7,   // Maximum tokens to generate  maxOutputTokens: 1000,   // Top-p sampling  topP: 0.9,});

const result = modelgates.callModel({  model: 'openai/gpt-5-nano',  input: 'List three programming languages.',  text: {    format: {      type: 'json_object',    },  },}); const text = await result.getText();const data = JSON.parse(text);

try {  const result = modelgates.callModel({    model: 'openai/gpt-5-nano',    input: 'Hello!',  });   const text = await result.getText();} catch (error) {  if (error instanceof Error && 'statusCode' in error) {    if (error.statusCode === 401) {      console.error('Invalid API key');    } else if (error.statusCode === 429) {      console.error('Rate limited - try again later');    } else if (error.statusCode === 503) {      console.error('Model unavailable');    }  } else {    console.error('Unexpected error:', error);  }}

const [result1, result2, result3] = await Promise.all([  modelgates.callModel({ model: 'openai/gpt-5-nano', input: 'Question 1' }).getText(),  modelgates.callModel({ model: 'openai/gpt-5-nano', input: 'Question 2' }).getText(),  modelgates.callModel({ model: 'openai/gpt-5-nano', input: 'Question 3' }).getText(),]);