@langchain/openai

Text Generation

This feature allows you to generate text based on a given prompt using OpenAI's language models. The code sample demonstrates how to use the `generate` method to create text.

const { OpenAI } = require('@langchain/openai');

const openai = new OpenAI('your-api-key');

async function generateText(prompt) {
  const response = await openai.generate({
    model: 'text-davinci-003',
    prompt: prompt,
    max_tokens: 100
  });
  console.log(response.data.choices[0].text);
}

generateText('Once upon a time');

Conversation Handling

This feature allows you to handle conversations by sending a series of messages to OpenAI's conversational models. The code sample demonstrates how to use the `converse` method to manage a conversation.

const { OpenAI } = require('@langchain/openai');

const openai = new OpenAI('your-api-key');

async function handleConversation(messages) {
  const response = await openai.converse({
    model: 'gpt-3.5-turbo',
    messages: messages
  });
  console.log(response.data.choices[0].message.content);
}

const messages = [
  { role: 'system', content: 'You are a helpful assistant.' },
  { role: 'user', content: 'What is the weather like today?' }
];

handleConversation(messages);

Custom Fine-Tuning

This feature allows you to fine-tune OpenAI's models with custom training data. The code sample demonstrates how to use the `fineTune` method to train a model with specific data.

const { OpenAI } = require('@langchain/openai');

const openai = new OpenAI('your-api-key');

async function fineTuneModel(trainingData) {
  const response = await openai.fineTune({
    model: 'text-davinci-003',
    training_data: trainingData
  });
  console.log(response.data);
}

const trainingData = [
  { prompt: 'Translate the following English text to French: "Hello, world!"', completion: 'Bonjour, le monde!' }
];

fineTuneModel(trainingData);