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wisp-ai

v0.0.1

Published

AI automation for markdown-based knowledge management.

Readme

wisp-ai

A WikiBonsai Project NPM package

In folklore, will-o'-the-wisps are ghostly lights that appear over marshes and bogs at night. Some tales say they guide lost travelers to safety. Others warn they lure the unwary off the path and into the swamp. There's no way to tell just from their glow which one they'll be.

Follow the lights...But watch your step.

AI automation for markdown-based knowledge management.

👻🧚 Whisper with wisps in your 🎋 WikiBonsai digital garden.

Install

yarn add wisp-ai

Usage

import { Wisp, seed } from 'wisp-ai';

// initialize
const wisp = new Wisp({
  provider: 'anthropic',
  apiKey: process.env.ANTHROPIC_API_KEY,
});

// seed a concept
const result = await seed(wisp, 'machine learning');
console.log(result.ancestors); // semantic ancestors
console.log(result.node);      // semantic node (attributes)
console.log(result.tree);      // semantic tree (outline)

Providers

Supports anthropic, openai, and xai. Pass model to override the default:

const wisp = new Wisp({
  provider: 'openai',
  apiKey: process.env.OPENAI_API_KEY,
  model: 'gpt-5.4',
});

Custom Prompts

Use the client directly for custom prompts:

const result = await wisp.generate(
  'You are a helpful assistant.',
  'Explain quantum computing.',
);

Markdown Formatting

Seed output formatting is configurable:

const result = await seed(wisp, 'machine learning', {
  mkdn: {
    attrs: 'caml',           // 'caml' | 'yaml'
    case: 'lower',           // 'upper' | 'lower'
    text: '[[wikitext]]',    // 'regular' | '[[wikitext]]'
    indent: '2 spaces',      // '2 spaces' | '4 spaces' | '1 tab'
    whitespace: 'kabob-case', // 'white space' | 'snake_case' | 'kabob-case'
  },
});

Development

yarn install
yarn build
yarn test