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@agentlang/agentgen

v0.0.6

Published

AI-powered code generation for [Agentlang](https://github.com/agentlang-ai/agentlang) - a declarative language for building agentic applications. This package provides pre-configured AI agents, workflows, and instructions to generate Agentlang code from n

Downloads

101

Readme

@agentlang/agentgen

AI-powered code generation for Agentlang - a declarative language for building agentic applications. This package provides pre-configured AI agents, workflows, and instructions to generate Agentlang code from natural language descriptions.

Overview

AgentGen is a meta-programming toolkit that uses AI agents to automatically generate Agentlang modules, including:

  • Data Models: Entities, records, relationships, and attributes
  • Workflows: Event-driven business logic and orchestration
  • AI Agents: Intelligent agents with LLM integration
  • Components: Individual entity, event, workflow, agent, and relationship components

Features

  • Full Module Generation: Generate complete Agentlang applications from requirements
  • Component-Level Generation: Create or update individual components
  • Smart Requirement Analysis: Automatically distill and structure user requirements
  • Validation & Retry: Built-in validation with automatic retry logic
  • Metadata Generation: Auto-generate documentation for generated code
  • Orchestration: Multi-step component creation with dependency management

Installation

npm install @agentlang/agentgen

Quick Start

import { BUILDER_MODULE_DEFINITION, getAgentCraftConfigContent } from '@agentlang/agentgen';

// Get the AgentCraft module definition
const moduleDefinition = BUILDER_MODULE_DEFINITION;

// Get LLM configuration
const config = getAgentCraftConfigContent();

Usage in Agentlang Applications

To use AgentGen in your Agentlang application:

  1. Load the module definition into your Agentlang runtime
  2. Configure the LLM settings using config.al
  3. Trigger generation events with your requirements
import { BUILDER_MODULE_DEFINITION, getAgentCraftConfigContent } from '@agentlang/agentgen';

// In your Agentlang runtime initialization:
// 1. Load the AgentCraft module
// 2. Load the LLM configuration
// 3. Trigger events like 'generateAgentlang' with user requirements

API Reference

Exports

BUILDER_MODULE_DEFINITION

The complete AgentCraft module definition as an Agentlang string. This contains all agents, workflows, events, and data models needed for code generation.

const moduleDefinition: string = BUILDER_MODULE_DEFINITION;

getAgentCraftConfigContent()

Returns the LLM configuration content from config.al.

function getAgentCraftConfigContent(): string;

Returns: Raw JSON configuration string compatible with Agentlang's loadConfigEntities function.

Utility Functions

escapeAgentlangString(str: string): string

Escapes special characters for safe embedding in Agentlang strings.

import { escapeAgentlangString } from '@agentlang/agentgen';

const escaped = escapeAgentlangString('My "string" with\nnewlines');

Development

Build

# Build the package
nx build agentgen

# Build for playground
npm run build:agentgen-playground

Project Structure

libs/agentgen/
├── src/
│   ├── index.ts           # Main exports
│   ├── module.ts          # AgentCraft module definition
│   ├── instructions.ts    # Agent instructions and prompts
│   └── configLoader.ts    # Configuration loader
├── config.al              # LLM configuration
├── package.json           # Package metadata
├── vite.config.ts         # Build configuration
└── README.md             # This file

Related Projects

  • Agentlang - The declarative language for agentic applications

Support


Built with ❤️ by the Agentlang team