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llm-builder

v1.0.3

Published

A seamless integration package for enhancing applications with large language model capabilities.

Downloads

21

Readme

llm-oracle

llm-oracle is an npm package designed to provide seamless integration with large language models (LLMs). It facilitates easy communication with LLMs to enhance applications with natural language understanding and generation capabilities.

Features

  • Easy Integration: Simple APIs to connect and interact with large language models.
  • Customizable: Configurable options to fine-tune model responses.
  • Extensible: Supports various language models and can be extended to support more.
  • Secure: Includes authentication mechanisms to secure API requests.

Installation

To install the package, run the following command:

npm install llm-oracle

Usage

Here's a basic example of how to use llm-oracle:

const LLMOracle = require('llm-oracle');

// Initialize with your API key
const oracle = new LLMOracle({ apiKey: 'YOUR_API_KEY' });

// Query the model
oracle.query('What is the capital of France?')
  .then(response => {
    console.log(response); // Outputs: 'Paris'
  })
  .catch(error => {
    console.error('Error:', error);
  });

Configuration

You can configure the package with various options during initialization:

const oracle = new LLMOracle({
  apiKey: 'YOUR_API_KEY',
  model: 'gpt-4', // Specify the model to use
  timeout: 5000,  // Request timeout in milliseconds
  retries: 3      // Number of retries for failed requests
});

API

query(prompt, options)

Queries the language model with a given prompt.

  • prompt (string): The input text to send to the model.
  • options (object): Optional parameters to customize the request.

Returns a promise that resolves to the model's response.

Example:

oracle.query('Explain the theory of relativity.', { temperature: 0.7 })
  .then(response => {
    console.log(response);
  });

setModel(model)

Sets the language model to be used for queries.

  • model (string): The model identifier.

Example:

oracle.setModel('gpt-4');

setApiKey(apiKey)

Sets the API key for authenticating requests.

  • apiKey (string): Your API key.

Example:

oracle.setApiKey('NEW_API_KEY');

Error Handling

Errors can be handled using the .catch method on promises returned by API calls.

oracle.query('Some invalid prompt')
  .then(response => {
    console.log(response);
  })
  .catch(error => {
    console.error('Error:', error);
  });

Contributing

Contributions are welcome! Please read the CONTRIBUTING.md file for guidelines on contributing to this project.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Contact

For any questions or issues, please open an issue on the GitHub repository.


Feel free to reach out with any questions or feedback. Enjoy using llm-oracle!