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  • License MIT

A focused, LLM-powered testing framework for natural language test scenarios

Package Exports

  • @craftapit/tester
  • @craftapit/tester/dist/index.js

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (@craftapit/tester) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

craft-a-tester

A focused, LLM-powered testing framework that executes natural language test scenarios written in Given-When-Then format.

Core Functionality

craft-a-tester allows you to:

  1. Write test scenarios in plain English using Given-When-Then format
  2. Execute these scenarios against APIs, web UIs, or databases
  3. Get clear, human-readable test results

Installation

# Install globally
npm install -g craft-a-tester

# Or install in your project
npm install --save-dev craft-a-tester

Command Line Usage

# Run a single test scenario
craft-a-tester run ./tests/login-test.md

# Run all scenarios in a directory
craft-a-tester run-all ./tests --recursive

# Specify a configuration file
craft-a-tester run-all ./tests --config ./craft-a-tester.json

Writing Test Scenarios

Test scenarios are written in markdown files with a specific structure:

# User Login Test

## Context
- Type: API
- Environment: Test
- BaseURL: https://api.example.com

## Scenario: Successful Login

### Steps

1. **Given** the API is available
2. **When** I send a POST request to "/auth/login" with body:
   {
     "username": "testuser",
     "password": "password123"
   }
3. **Then** the response status should be 200
4. **And** the response body should contain a token

Configuration

Configure craft-a-tester using a JSON file:

{
  "browser": {
    "headless": false,
    "slowMo": 50
  },
  "llm": {
    "provider": "anthropic",
    "model": "claude-2",
    "apiKey": "your-api-key-here"
  }
}

Using Ollama

craft-a-tester supports local LLM inference using Ollama:

{
  "llm": {
    "provider": "ollama",
    "baseUrl": "http://localhost:11434",
    "model": "llama3:8b",
    "contextSize": 16384,
    "dynamicContextSizing": true
  }
}

Integration with CraftACoder

For test-driven development, craft-a-tester works seamlessly with CraftACoder:

  1. Write your test scenarios in craft-a-tester's format
  2. Execute the scenarios to see what fails
  3. Use CraftACoder to generate implementation code:
# Generate implementation code based on a test scenario
craftacoder generate --from-test ./tests/login-test.md

API Usage

import { TestRunner } from "@craftapit/tester";

async function runTests() {
  const runner = new TestRunner({
    browser: {
      headless: false
    },
    llm: {
      provider: 'anthropic',
      model: 'claude-2'
    }
  });
  
  const results = await runner.runScenario('./tests/login-test.md');
  
  console.log(`Test passed: ${results.success}`);
}

runTests().catch(console.error);

Supported Test Types

  • API Tests: Test RESTful APIs with JSON payloads
  • Browser Tests: Test web UIs with automated browser interactions
  • Database Tests: Verify database operations and results
  • TypedAPI Tests: Test TypeScript API contracts (requires @craftapit/typedapi-tester-addon)

Using Different LLM Providers

craft-a-tester supports multiple LLM providers:

// Using Anthropic
import { AnthropicAdapter } from "@craftapit/tester";

const anthropicAdapter = new AnthropicAdapter({
  apiKey: process.env.ANTHROPIC_API_KEY,
  model: 'claude-2'
});

runner.registerAdapter('llm', anthropicAdapter);

// Using OpenAI
import { OpenAIAdapter } from "@craftapit/tester";

const openaiAdapter = new OpenAIAdapter({
  apiKey: process.env.OPENAI_API_KEY,
  model: 'gpt-4'
});

runner.registerAdapter('llm', openaiAdapter);

// Using Ollama (local inference)
import { OllamaAdapter } from "@craftapit/tester";

const ollamaAdapter = new OllamaAdapter({
  baseUrl: 'http://localhost:11434',  // Your Ollama server URL
  model: 'llama3:8b',                 // Model to use
  contextSize: 16384,                 // Context window size
  dynamicContextSizing: true          // Automatically adjust context size
});

runner.registerAdapter('llm', ollamaAdapter);

Advanced Features

Vector-Based Capability Caching

craft-a-tester includes a lightweight vector embedding system for caching test capabilities and results:

import { CapabilityRegistry } from "@craftapit/tester";

const registry = new CapabilityRegistry({
  cachingEnabled: true,
  cacheFilePath: './.craft-a-tester/cache.json'
});

// Add the registry to your test executor
const executor = new TestExecutor({}, registry);

License

MIT