loremIpsum.ts
skills/bundled/loremIpsum.ts
No strong subsystem tag
283
Lines
4400
Bytes
1
Exports
1
Imports
10
Keywords
What this is
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Beginner explanation
This file is one piece of the larger system. Its name, directory, imports, and exports show where it fits. Start by reading the exports and related files first.
How it is used
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Expert explanation
Architecturally, this file intersects with general runtime concerns. It contains 283 lines, 1 detected imports, and 1 detected exports.
Important relationships
Detected exports
registerLoremIpsumSkill
Keywords
tokenstexttargettokensresultmathcommontokenwordsparsedcappedtokens
Detected imports
../bundledSkills.js
Source notes
This page embeds the full file contents. Small or leaf files are still indexed honestly instead of being over-explained.
Full source
import { registerBundledSkill } from '../bundledSkills.js'
// Verified 1-token words (tested via API token counting)
// All common English words confirmed to tokenize as single tokens
const ONE_TOKEN_WORDS = [
// Articles & pronouns
'the',
'a',
'an',
'I',
'you',
'he',
'she',
'it',
'we',
'they',
'me',
'him',
'her',
'us',
'them',
'my',
'your',
'his',
'its',
'our',
'this',
'that',
'what',
'who',
// Common verbs
'is',
'are',
'was',
'were',
'be',
'been',
'have',
'has',
'had',
'do',
'does',
'did',
'will',
'would',
'can',
'could',
'may',
'might',
'must',
'shall',
'should',
'make',
'made',
'get',
'got',
'go',
'went',
'come',
'came',
'see',
'saw',
'know',
'take',
'think',
'look',
'want',
'use',
'find',
'give',
'tell',
'work',
'call',
'try',
'ask',
'need',
'feel',
'seem',
'leave',
'put',
// Common nouns & adjectives
'time',
'year',
'day',
'way',
'man',
'thing',
'life',
'hand',
'part',
'place',
'case',
'point',
'fact',
'good',
'new',
'first',
'last',
'long',
'great',
'little',
'own',
'other',
'old',
'right',
'big',
'high',
'small',
'large',
'next',
'early',
'young',
'few',
'public',
'bad',
'same',
'able',
// Prepositions & conjunctions
'in',
'on',
'at',
'to',
'for',
'of',
'with',
'from',
'by',
'about',
'like',
'through',
'over',
'before',
'between',
'under',
'since',
'without',
'and',
'or',
'but',
'if',
'than',
'because',
'as',
'until',
'while',
'so',
'though',
'both',
'each',
'when',
'where',
'why',
'how',
// Common adverbs
'not',
'now',
'just',
'more',
'also',
'here',
'there',
'then',
'only',
'very',
'well',
'back',
'still',
'even',
'much',
'too',
'such',
'never',
'again',
'most',
'once',
'off',
'away',
'down',
'out',
'up',
// Tech/common words
'test',
'code',
'data',
'file',
'line',
'text',
'word',
'number',
'system',
'program',
'set',
'run',
'value',
'name',
'type',
'state',
'end',
'start',
]
function generateLoremIpsum(targetTokens: number): string {
let tokens = 0
let result = ''
while (tokens < targetTokens) {
// Sentence: 10-20 words
const sentenceLength = 10 + Math.floor(Math.random() * 11)
let wordsInSentence = 0
for (let i = 0; i < sentenceLength && tokens < targetTokens; i++) {
const word =
ONE_TOKEN_WORDS[Math.floor(Math.random() * ONE_TOKEN_WORDS.length)]
result += word
tokens++
wordsInSentence++
if (i === sentenceLength - 1 || tokens >= targetTokens) {
result += '. '
} else {
result += ' '
}
}
// Paragraph break every 5-8 sentences (roughly 20% chance per sentence)
if (wordsInSentence > 0 && Math.random() < 0.2 && tokens < targetTokens) {
result += '\n\n'
}
}
return result.trim()
}
export function registerLoremIpsumSkill(): void {
if (process.env.USER_TYPE !== 'ant') {
return
}
registerBundledSkill({
name: 'lorem-ipsum',
description:
'Generate filler text for long context testing. Specify token count as argument (e.g., /lorem-ipsum 50000). Outputs approximately the requested number of tokens. Ant-only.',
argumentHint: '[token_count]',
userInvocable: true,
async getPromptForCommand(args) {
const parsed = parseInt(args)
if (args && (isNaN(parsed) || parsed <= 0)) {
return [
{
type: 'text',
text: 'Invalid token count. Please provide a positive number (e.g., /lorem-ipsum 10000).',
},
]
}
const targetTokens = parsed || 10000
// Cap at 500k tokens for safety
const cappedTokens = Math.min(targetTokens, 500_000)
if (cappedTokens < targetTokens) {
return [
{
type: 'text',
text: `Requested ${targetTokens} tokens, but capped at 500,000 for safety.\n\n${generateLoremIpsum(cappedTokens)}`,
},
]
}
const loremText = generateLoremIpsum(cappedTokens)
// Just dump the lorem ipsum text into the conversation
return [
{
type: 'text',
text: loremText,
},
]
},
})
}