Socket
Book a DemoInstallSign in
Socket

palm-conversation-toolkit

Package Overview
Dependencies
Maintainers
1
Versions
1
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

palm-conversation-toolkit

The PaLM Conversation Toolkit is a Node.js library that simplifies interaction with the Generative Language models from Google AI. It wraps around the DiscussServiceClient to provide a more convenient and easier way to generate replies in a conversational

1.0.0
latest
npmnpm
Version published
Weekly downloads
0
Maintainers
1
Weekly downloads
 
Created
Source

PaLM Conversation Toolkit

Overview

The PaLM Conversation Toolkit is a Node.js library that simplifies interaction with the Generative Language models from Google AI. It wraps around the DiscussServiceClient to provide a more convenient and easier way to generate replies in a conversational context.

Installation

Before using the PaLM Conversation Toolkit, make sure to install the necessary dependencies.

npm install palm-conversation-toolkit @google-ai/generativelanguage google-auth-library dotenv

Setup

First, create a .env file in your root directory and add your API key.

PALM_API_KEY=your_api_key_here

Usage

To get started with the PaLM Conversation Toolkit, import it into your main file:

const conversationToolkit = require("./palm-conversation-toolkit");

Here is an example of how to initialize and use the toolkit:

const myConversation = new conversationToolkit(client, modelDetails, context, examples);

myConversation.generateReply("What are some cowboy movies?")
    .then(reply => console.log(reply))
    .catch(err => console.log(err));

Parameters

  • client: An instance of DiscussServiceClient from Google AI.
  • modelDetails: An object containing the details of the model you want to use.
    • model: The model name (e.g., "models/chat-bison-001")
    • temperature: Model randomness
    • candidateCount: Number of candidates to consider
    • top_k: Top K sampling value
    • top_p: Top P sampling value
  • context: A string that sets the context for the conversation.
  • examples: An array of example objects that include both an "input" and an "output" field. These examples provide context to guide the model's responses.

Methods

generateReply(inputMessage: string) -> Promise<string>

Generates a reply for the given input message.

  • inputMessage: The user's message that you want the model to respond to.

Error Handling

The method will return null and print an error message to the console if an exception occurs.

Example

For a full example, refer to the index.js file in the repository.

License

This project is licensed under the MIT License.

FAQs

Package last updated on 20 Oct 2023

Did you know?

Socket

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts

SocketSocket SOC 2 Logo

Product

About

Packages

Stay in touch

Get open source security insights delivered straight into your inbox.

  • Terms
  • Privacy
  • Security

Made with ⚡️ by Socket Inc

U.S. Patent No. 12,346,443 & 12,314,394. Other pending.