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@heilgar/pest-core

v0.0.5

Published

Prompt Evaluation & Scoring Toolkit - Core library

Readme

@heilgar/pest-core

Core library for pest (Prompt Evaluation & Scoring Toolkit) — a lightweight TypeScript framework for testing LLM prompts with familiar expect() matchers.

Features

  • Multi-provider support — OpenAI, Anthropic Claude, Google Gemini, xAI Grok, Ollama, and any OpenAI-compatible API
  • send() helper — call any LLM provider with a consistent interface, including system prompts and tool definitions
  • Deterministic matcherscontainsToolCall, callsToolsInOrder, matchesResponseSchema, containsText, hasToolCallCount, respondsWithinTokens
  • LLM-judged matcherssatisfiesCriteria, matchesSemanticMeaning, classifiedAs, doesNotDisclose
  • Consistency testingassertConsistent for verifying response stability across multiple runs
  • Schema validation — validate LLM responses against JSON schemas using valibot, with optional zod support
  • Zero global state — explicit provider passing, no singletons

Install

npm install @heilgar/pest-core

Usage

import { send, createProvider } from '@heilgar/pest-core';

const provider = createProvider({ type: 'openai', model: 'gpt-4o', apiKey: '...' });
const response = await send(provider, 'Hello', { systemPrompt: 'You are a helpful assistant.' });

Use with @heilgar/pest-vitest, @heilgar/pest-jest, or @heilgar/pest-playwright for test framework integration.

Documentation

Full docs at heilgar.github.io/pest

License

MIT