Function-Calling-OpenAI-SDK

This package enhances the OpenAI-NODE SDK, enabling it to seamlessly integrate with ScaleGenAI's Llama-3 function calling models. It allows developers to easily incorporate advanced AI functionalities into their applications.

Getting Started

To use this package, you need to import CustomOpenAIClient from scalegen-function-calling-node and OpenAI from the openai package. Here's a quick example to get you started:

Usage

import { CustomOpenAIClient } from "scalegen-function-calling-node";
import type {
  ChatCompletionTool,
  ChatCompletionMessageParam,
} from "openai/resources/chat";
import OpenAI from "openai";

const tools: ChatCompletionTool[] = [
  {
    type: "function",
    function: {
      name: "Expense",
      description: "Track an expense",
      parameters: {
        type: "object",
        properties: {
          description: { type: "string" },
          net_amount: { type: "number" },
          gross_amount: { type: "number" },
          tax_rate: { type: "number" },
          date: { type: "string", format: "date-time" },
        },
        required: [
          "description",
          "net_amount",
          "gross_amount",
          "tax_rate",
          "date",
        ],
      },
    },
  },
  {
    type: "function",
    function: {
      name: "ReportTool",
      description: "Generate a report",
      parameters: {
        type: "object",
        properties: {
          report: { type: "string" },
        },
        required: ["report"],
      },
    },
  },
];

const modelName = "ScaleGenAI/Llama3-70B-Function-Calling";
const apiKey = "<YOUR_API_KEY>";
const apiEndpoint = "<YOUR_API_ENDPOINT>";

const messages: ChatCompletionMessageParam[] = [
  {
    role: "user",
    content:
      "I have spent 5$ on a coffee today please track my expense. The tax rate is 0.2. plz add to expense",
  },
];

async function main() {
  const client = new OpenAI({
    apiKey: apiKey,
    baseURL: apiEndpoint,
  });
  const customClient = new CustomOpenAIClient(client);

  try {
    const response = await customClient.chat.completions.create({
      model: modelName,
      messages: messages,
      tools: tools,
      stream: false,
    });

    console.log(JSON.stringify(response, null, 2));
  } catch (error) {
    console.error("Error:", error);
  }
}

main();