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Tools for working with LLMs (Large Language Models).
npm install llm-tools
The fmt object provides formatting functions useful for working with LLMs:
import { fmt } from 'llm-tools'
// Format multi-line strings by removing unnecessary indentation
const formatted = fmt.trim(`
This is a multi-line string
with some indentation
that will be normalized
`)
// Result: "This is a multi-line string\n with some indentation\nthat will be normalized"
// Convert multi-line strings to single line
const oneLine = fmt.oneLine(`
This is a multi-line string
that will become one line
`)
// Result: "This is a multi-line string that will become one line"
// Convert array of objects to TSV (Tab-Separated Values)
const data = [
{ name: 'John', age: 30 },
{ name: 'Jane', age: 25 },
]
const tsv = await fmt.asTSV(data)
// Result: "name\tage\nJohn\t30\nJane\t25"
fmt.trim(str: string): stringFormats a multi-line string by removing unnecessary indentation while preserving relative indentation between lines. Trims leading/trailing newlines from the entire string and trailing whitespace from each line. Empty or whitespace-only lines are preserved as empty lines.
Useful for formatting prompts and tool instructions.
fmt.oneLine(str: string): stringConverts a multi-line string into a single line by joining non-empty lines with spaces.
Useful for formatting tool instructions that need to be on one line.
fmt.asTSV(data: any[]): Promise<string>Converts an array of objects to a string of tab-separated values (TSV). This is better than JSON for returning data to LLMs because it uses fewer tokens.
MIT
FAQs
tools for working with LLMs
The npm package llm-tools receives a total of 52 weekly downloads. As such, llm-tools popularity was classified as not popular.
We found that llm-tools demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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