Salute is a cutting-edge JavaScript library that streamlines the way we interact with large language models (LLMs) by incorporating a declarative approach reminiscent of React. This guide will walk you through the setup and key features of Salute, offering user-friendly instructions and troubleshooting tips.

Key Features of Salute

• Declarative and React-like composability.
• Minimal overhead and a small code base.
• No hidden prompts; transparency in interactions.
• Low-level control that mirrors LLM text processing.
• Quick learning curve leveraging familiar JavaScript features.
• Support for type-checking and syntax enhancements.

Installation

To get started with Salute, you’ll need Node.js installed on your system. Run the following commands to install Salute:

bash
npm install salutejs
yarn add salutejs
npm add salutejs

Next, make sure to set up your OpenAI API Key. This can be done using:

bash
export OPENAI_KEY=your_openai_api_key

Quick Start: Basic Functionality

This section introduces the fundamental concepts of Salute that you’ll use daily. Here are some key components:

Simple Chat Completion

Using Salute, you create agents that perform sequences of actions. Think of agents as a team of workers following instructions step by step. Here’s how you can initiate a simple chat completion:

ts
import gpt3, { gen, assistant, system, user } from 'salutejs';

const agent = gpt3(
  (params) => [
    system('You are a helpful and terse assistant.'),
    user(`I want a response to the following question: ${params.query}`),
    assistant(gen('answer')),
  ]
);

const result = await agent({ query: 'How can I be more productive?', render: true });
console.log(result);

In this analogy, the system sets the rules, the user asks a question, and the assistant provides the answer. The instruction flow mirrors a well-organized team, ensuring clarity and precision in communication.

Creating Chat Sequences

You can enhance your agent’s capabilities by layering additional steps. For instance, you may want the agent to reference experts before providing an answer:

ts
const agent = gpt3(
  (params) => [
    system('You are a helpful and terse assistant.'),
    user(`I want a response to the following question: ${params.query}`),
    user('Name 3 world-class experts who would be great at answering this.'),
    assistant(gen('expertNames')),
    user('Great. Now please answer the question.'),
    assistant(gen('answer')),
  ]
);

// Example usage
const result = await agent({ query: 'How can I be more productive?', render: true });
console.log(result);

This expansion resembles adding more specialists to a team, allowing for a more thorough and informed output.

Troubleshooting: Common Issues

• Ensure your API Key is correctly set in your environment.
• If there’s an issue with importing, check if the module is installed properly.
• For syntax errors, ensure your TypeScript configuration is set correctly.
• If you encounter network-related errors, verify your internet connection or the OpenAI API status.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

Salute merges the simplicity of React-like components with the robust capabilities of LLMs. By mastering its features and following this guide, you’ll enhance productivity and achieve seamless integration with AI technologies.

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.