Package Exports

x-llm
x-llm/dist/index.js

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Readme

OpenAI JSON Utility

A TypeScript utility for calling OpenAI's Chat Completion API with guaranteed JSON output.

Features

Guaranteed JSON: Uses response_format: { type: "json_object" }.
Type Safe: Generic <T> interface for strong typing of LLM responses.
Easy Configuration: Simple parameters for model, instructions, and prompt.
Token Usage: Returns detailed token usage and finish reason.

Setup

Clone or copy the files into your project.
Install dependencies:
```
npm install openai dotenv
```
Create a .env file based on .env.example and add your OPENAI_API_KEY.

Usage

import "dotenv/config";
import { callOpenAI } from "./callOpenAI.js";

const result = await callOpenAI<{ sentiment: string; score: number }>({
  model: "gpt-5-nano",
  instructions: "You are a sentiment analyzer. Always respond in JSON with keys: sentiment, score.",
  prompt: "Analyze: 'I absolutely love this product!'",
});

console.log(result.data.sentiment); // "positive"

AI Functions

`matchLists`

Intelligently matches items from two lists based on naming and context.

import { matchLists } from "x-llm";

const source = [{ id: 1, name: "Apple" }];
const target = [{ item: "Apple", type: "Fruit" }];

const result = await matchLists({
  list1: source,
  list2: target,
  guidance: "Match by name",
});

console.log(result.matches); 
// [{ source: { id: 1, name: "Apple" }, target: { item: "Apple", ... }, reason: "..." }]

Important Note

When using json_object format, you must include the word "JSON" in your system instructions or user prompt.