This repository provides a comprehensive, code-first guide to building production-grade Generative AI agents. It targets developers and researchers aiming to deploy scalable, robust AI agents by covering essential aspects from orchestration and memory to security, deployment, and UI development. The project offers practical, runnable tutorials that accelerate the transition from concept to enterprise-ready solutions.

How It Works

The project is structured around a collection of independent, runnable tutorials, each focusing on a specific aspect of production AI agent development. It emphasizes a "code-first" approach, providing ready-to-use notebooks and scripts that demonstrate best practices and proven patterns for integrating various components like vector databases, real-time APIs, and browser automation. This modular design allows users to learn and apply specific functionalities without needing to set up a complex, monolithic environment.

Quick Start & Requirements

• Installation: Clone the repository (git clone https://github.com/NirDiamant/agents-towards-production.git) and navigate to specific tutorial directories. Install dependencies using pip install -r requirements.txt.
• Prerequisites: Python, Jupyter Notebook, and specific libraries detailed within each tutorial's requirements.txt. Some tutorials may require API keys for services like Tavily or cloud GPU platforms.
• Running: Tutorials can be run via jupyter notebook tutorial.ipynb or executed as scripts using python app.py.
• Resources: Links to online tutorials are available for exploration without local setup.

Highlighted Details

• Covers the full lifecycle of AI agent development, from prototyping to enterprise deployment.
• Features tutorials on GPU deployment, real-time monitoring, and security guardrails.
• Includes practical examples for tool integration, memory management, and multi-agent coordination.
• Offers guidance on fine-tuning models, containerization with Docker, and building UIs with Streamlit.

Maintenance & Community

The project actively encourages community contributions and provides links to a Discord server for discussion and support. It also promotes a newsletter for updates and insights.

Licensing & Compatibility

This project is licensed under a custom non-commercial license. This license may restrict commercial use or integration into closed-source products.

Limitations & Caveats

The repository is explicitly for educational use only, and the authors disclaim responsibility for any misuse or consequences. Users are advised to conduct their own due diligence, test in isolation, and ensure legal compliance, especially concerning third-party services and security tools.