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@discomedia/utils

v1.0.52

Published

Utility functions used in Disco Media apps

Readme

Disco Media Utils

Last updated: 08 Jul 2025

A comprehensive utility library for Disco Media apps, providing both backend-complete and frontend-optimized builds.

NPM repo: https://www.npmjs.com/package/@discomedia/utils

Installation

npm install @discomedia/utils

Note: The tslib package is required for building this library on GitHub Actions and other CI environments. It is included as a dependency because Rollup and TypeScript emit helpers that require tslib at build time. Do not remove tslib from dependencies, or CI builds will fail.

Updating

When updating this repo, it auto-publishes to NPM via a workflow in the gh_workflows repository.

For it to publish, you have to make sure this repo has the NPM_TOKEN environment variable.

Usage

This package provides two different entry points depending on your environment:

🖥️ Backend/Node.js Usage (Full Package)

For backend applications, use the main entry point which includes all utilities:

import { disco, AlpacaTradingAPI, AlpacaMarketDataAPI } from '@discomedia/utils';

// Available modules:
disco.llm.call()           // OpenAI LLM calls
disco.llm.seek()           // DeepSeek LLM calls  
disco.llm.images()         // AI image generation
disco.alpaca               // Alpaca trading and market data APIs
disco.polygon              // Polygon.io market data
disco.indices              // Market indices data
disco.time                 // Market timing utilities
disco.format               // Formatting utilities
disco.ta                   // Technical analysis functions
disco.utils                // Miscellaneous utilities
disco.types                // TypeScript type definitions

🌐 Frontend/Browser Usage (Lightweight Package)

For frontend applications, use the lightweight entry point that excludes Node.js-specific dependencies:

import { disco, AlpacaTradingAPI, AlpacaMarketDataAPI } from '@discomedia/utils/frontend';

// Available modules (frontend-compatible only):
disco.llm.call()           // OpenAI LLM calls
disco.llm.seek()           // DeepSeek LLM calls  
disco.llm.images()         // AI image generation
disco.types                // TypeScript type definitions

// Direct class imports:
const tradingAPI = new AlpacaTradingAPI(apiKey, secretKey);
const marketDataAPI = new AlpacaMarketDataAPI(apiKey, secretKey);

CommonJS Usage

Both entry points support CommonJS imports:

// Full package
const { disco } = require('@discomedia/utils');

// Frontend package
const { disco } = require('@discomedia/utils/frontend');

Key Differences

| Feature | Main Package | Frontend Package | |---------|-------------|------------------| | Size | Full (~651KB) | Lightweight (~570KB) | | Dependencies | All (including dotenv, Node.js APIs) | Frontend-safe only | | LLM Functions | ✅ | ✅ | | Alpaca APIs | ✅ | ✅ | | Market Data (Polygon) | ✅ | ❌ | | Market Timing | ✅ | ❌ | | Technical Analysis | ✅ | ❌ | | Formatting Utils | ✅ | ❌ | | Environment | Node.js/Backend | Browser/Frontend |

API Documentation

LLM Functions

// OpenAI calls
const response = await disco.llm.call("Your prompt here", options);

// DeepSeek calls
const response = await disco.llm.seek("Your prompt here", responseFormat, options);

// Image generation
const imageUrl = await disco.llm.images("Image description", options);

Alpaca APIs

// Trading API
const tradingAPI = new AlpacaTradingAPI(apiKey, secretKey);
const account = await tradingAPI.getAccount();

// Market Data API  
const marketDataAPI = new AlpacaMarketDataAPI(apiKey, secretKey);
const bars = await marketDataAPI.getBars(symbol, timeframe);

Contributing to the Repository

Contributions are welcome! Please submit a pull request or open an issue for any enhancements or bug fixes.

Author

This project is a product of Disco Media.