@google-ai/generativelanguage

Generative Language API: Node.js Client

Generative Language API client for Node.js

A comprehensive list of changes in each version may be found in the CHANGELOG.

• Generative Language API Node.js Client API Reference
• Generative Language API Documentation
• github.com/googleapis/google-cloud-node/packages/google-ai-generativelanguage

Read more about the client libraries for Cloud APIs, including the older Google APIs Client Libraries, in Client Libraries Explained.

Table of contents:

• Quickstart
  • Before you begin
  • Installing the client library
  • Using the client library
• Samples
• Versioning
• Contributing
• License

Quickstart

Before you begin

1. Select or create a Cloud Platform project.
2. Enable billing for your project.
3. Enable the Generative Language API API.
4. Set up authentication so you can access the API from your local workstation.

Installing the client library

npm install @google-ai/generativelanguage

Using the client library

/**
 * 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();

Samples

Samples are in the samples/ directory. Each sample's README.md has instructions for running its sample.

Sample	Source Code	Try it
Generative_service.batch_embed_contents	source code
Generative_service.count_tokens	source code
Generative_service.embed_content	source code
Generative_service.generate_content	source code
Generative_service.stream_generate_content	source code
Model_service.get_model	source code
Model_service.list_models	source code
Cache_service.create_cached_content	source code
Cache_service.delete_cached_content	source code
Cache_service.get_cached_content	source code
Cache_service.list_cached_contents	source code
Cache_service.update_cached_content	source code
Discuss_service.count_message_tokens	source code
Discuss_service.generate_message	source code
File_service.create_file	source code
File_service.delete_file	source code
File_service.get_file	source code
File_service.list_files	source code
Generative_service.batch_embed_contents	source code
Generative_service.count_tokens	source code
Generative_service.embed_content	source code
Generative_service.generate_answer	source code
Generative_service.generate_content	source code
Generative_service.stream_generate_content	source code
Model_service.create_tuned_model	source code
Model_service.delete_tuned_model	source code
Model_service.get_model	source code
Model_service.get_tuned_model	source code
Model_service.list_models	source code
Model_service.list_tuned_models	source code
Model_service.update_tuned_model	source code
Permission_service.create_permission	source code
Permission_service.delete_permission	source code
Permission_service.get_permission	source code
Permission_service.list_permissions	source code
Permission_service.transfer_ownership	source code
Permission_service.update_permission	source code
Prediction_service.predict	source code
Retriever_service.batch_create_chunks	source code
Retriever_service.batch_delete_chunks	source code
Retriever_service.batch_update_chunks	source code
Retriever_service.create_chunk	source code
Retriever_service.create_corpus	source code
Retriever_service.create_document	source code
Retriever_service.delete_chunk	source code
Retriever_service.delete_corpus	source code
Retriever_service.delete_document	source code
Retriever_service.get_chunk	source code
Retriever_service.get_corpus	source code
Retriever_service.get_document	source code
Retriever_service.list_chunks	source code
Retriever_service.list_corpora	source code
Retriever_service.list_documents	source code
Retriever_service.query_corpus	source code
Retriever_service.query_document	source code
Retriever_service.update_chunk	source code
Retriever_service.update_corpus	source code
Retriever_service.update_document	source code
Text_service.batch_embed_text	source code
Text_service.count_text_tokens	source code
Text_service.embed_text	source code
Text_service.generate_text	source code
Discuss_service.count_message_tokens	source code
Discuss_service.generate_message	source code
Model_service.get_model	source code
Model_service.list_models	source code
Text_service.embed_text	source code
Text_service.generate_text	source code
Discuss_service.count_message_tokens	source code
Discuss_service.generate_message	source code
Model_service.create_tuned_model	source code
Model_service.delete_tuned_model	source code
Model_service.get_model	source code
Model_service.get_tuned_model	source code
Model_service.list_models	source code
Model_service.list_tuned_models	source code
Model_service.update_tuned_model	source code
Permission_service.create_permission	source code
Permission_service.delete_permission	source code
Permission_service.get_permission	source code
Permission_service.list_permissions	source code
Permission_service.transfer_ownership	source code
Permission_service.update_permission	source code
Text_service.batch_embed_text	source code
Text_service.count_text_tokens	source code
Text_service.embed_text	source code
Text_service.generate_text	source code
Quickstart	source code

The Generative Language API Node.js Client API Reference documentation also contains samples.

Supported Node.js Versions

Our client libraries follow the Node.js release schedule. Libraries are compatible with all current active and maintenance versions of Node.js. If you are using an end-of-life version of Node.js, we recommend that you update as soon as possible to an actively supported LTS version.

Google's client libraries support legacy versions of Node.js runtimes on a best-efforts basis with the following warnings:

• Legacy versions are not tested in continuous integration.
• Some security patches and features cannot be backported.
• Dependencies cannot be kept up-to-date.

Client libraries targeting some end-of-life versions of Node.js are available, and can be installed through npm dist-tags. The dist-tags follow the naming convention legacy-(version). For example, npm install @google-ai/generativelanguage@legacy-8 installs client libraries for versions compatible with Node.js 8.

Versioning

This library follows Semantic Versioning.

This library is considered to be in preview. This means it is still a work-in-progress and under active development. Any release is subject to backwards-incompatible changes at any time.

More Information: Google Cloud Platform Launch Stages

Contributing

Contributions welcome! See the Contributing Guide.

Please note that this README.md, the samples/README.md, and a variety of configuration files in this repository (including .nycrc and tsconfig.json) are generated from a central template. To edit one of these files, make an edit to its templates in directory.

License

Apache Version 2.0

See LICENSE