/**
 * This snippet has been automatically generated and should be regarded as a code template only.
 * It will require modifications to work.
 * It may require correct/in-range values for request initialization.
 * TODO(developer): Uncomment these variables before running the sample.
 */
/**
 *  Required. The model name to use with the format name=models/{model}.
 */
// const model = 'abc123'
/**
 *  Required. The free-form input text given to the model as a prompt.
 *  Given a prompt, the model will generate a TextCompletion response it
 *  predicts as the completion of the input text.
 */
// const prompt = {
//  text: 'abc123'
// }
/**
 *  Controls the randomness of the output.
 *  Note: The default value varies by model, see the `Model.temperature`
 *  attribute of the `Model` returned the `getModel` function.
 *  Values can range from 0.0,1.0,
 *  inclusive. A value closer to 1.0 will produce responses that are more
 *  varied and creative, while a value closer to 0.0 will typically result in
 *  more straightforward responses from the model.
 */
// const temperature = 1234
/**
 *  Number of generated responses to return.
 *  This value must be between 1, 8, inclusive. If unset, this will default
 *  to 1.
 */
// const candidateCount = 1234
/**
 *  The maximum number of tokens to include in a candidate.
 *  If unset, this will default to 64.
 */
// const maxOutputTokens = 1234
/**
 *  The maximum cumulative probability of tokens to consider when sampling.
 *  The model uses combined Top-k and nucleus sampling.
 *  Tokens are sorted based on their assigned probabilities so that only the
 *  most liekly tokens are considered. Top-k sampling directly limits the
 *  maximum number of tokens to consider, while Nucleus sampling limits number
 *  of tokens based on the cumulative probability.
 *  Note: The default value varies by model, see the `Model.top_p`
 *  attribute of the `Model` returned the `getModel` function.
 */
// const topP = 1234
/**
 *  The maximum number of tokens to consider when sampling.
 *  The model uses combined Top-k and nucleus sampling.
 *  Top-k sampling considers the set of `top_k` most probable tokens.
 *  Defaults to 40.
 *  Note: The default value varies by model, see the `Model.top_k`
 *  attribute of the `Model` returned the `getModel` function.
 */
// const topK = 1234
/**
 *  The set of character sequences (up to 5) that will stop output generation.
 *  If specified, the API will stop at the first appearance of a stop
 *  sequence. The stop sequence will not be included as part of the response.
 */
// const stopSequences = 'abc123'

// Imports the Generativelanguage library
const {TextServiceClient} = require('@google-ai/generativelanguage').v1beta2;

// Instantiates a client
const generativelanguageClient = new TextServiceClient();

async function callGenerateText() {
  // Construct request
  const request = {
    model,
    prompt,
  };

  // Run request
  const response = await generativelanguageClient.generateText(request);
  console.log(response);
}

callGenerateText();