agenterprise 0.1.2

Generator for AI Environments

Agenterprise

Agenterprise is a powerful generator for AI agent environments, enabling rapid prototyping and deployment of agent-based systems in Python. It leverages modern code generation, Pydantic, and DSL-driven workflows to streamline the creation of scalable, enterprise-ready AI solutions.

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Features

• Generate complete AI agent environments from a DSL specification
• Supports modern Python (3.12+)
• Produces ready-to-use code, Dockerfiles, and configuration
• Designed for enterprise and MDSD (Model-Driven Software Development) workflows

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Installation

PyPI

pip install agenterprise

Note: Agenterprise is not yet published on PyPI. To install from source, clone the repository and use pip:

Local

Follow these steps to install it from source

git clone https://github.com/agenterprise/agenterprise.git
cd agenterprise
pip install .

Or, for development:

pip install -e .

Usage Example

Create a DSL File

You can either start with a DSL File from scratch (see http://www.agenterprise.ai) or generate a sample file with:

agenterprise --dsl-template --dsl mydsl.dsl     

Generate a project

Whith your created DSL File you can now generate a project:

agenterprise --code-generation --dsl mydsl.dsl --target target/mydsl

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Python Compatibility

• Python >= 3.12

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License

This project is licensed under the MIT License. See the LICENSE file for details.

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Project Links

• Homepage: https://agenterprise.ai
• Repository: https://github.com/agenterprise/agenterprise
• Issues: https://github.com/agenterprise/agenterprise/issues

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Author

Michael Vonrueden
Email: [e-mail]

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Enterprise Environments

For details on how to set up and use this project in enterprise or corporate environments (e.g. with internal package indexes, proxies, or authentication), please consult ENTERPRISE.md.