This project provides a production-ready template for building scalable Generative AI applications, targeting developers who need a structured and maintainable starting point. It aims to reduce early-stage development chaos and promote long-term maintainability through proven practices.

How It Works

The template employs a modular architecture, organizing core logic into distinct components within the src/ directory. Key modules include agents, memory management, retrieval systems, skills (like web search), multimodal processing, prompt engineering, LLM routing, fallback mechanisms, guardrails for safety, and utility functions. This separation of concerns facilitates scalability and maintainability, allowing developers to easily swap or extend functionalities.

Quick Start & Requirements

• Install via requirements.txt.
• Setup involves configuring models via YAML files.
• Further guidance is available in the examples/ and notebooks/ directories.

Highlighted Details

• Comprehensive modular structure: agents, memory, pipelines, retrieval, skills, vision_audio, prompt_engineering, llm, fallback, guardrails, handlers, utils.
• Configuration managed via YAML files in the config/ directory.
• Includes dedicated directories for prompts, embeddings (data/), tests, and examples.
• Emphasizes best practices like prompt versioning, response caching, and error handling.

Maintenance & Community

No specific contributors, sponsorships, or community links (Discord/Slack) are mentioned in the README.

Licensing & Compatibility

Licensed under the Apache 2.0 License, allowing for free use, modification, and distribution with minimal restrictions, suitable for commercial and closed-source projects.

Limitations & Caveats

The README does not detail specific limitations, known bugs, or deprecation status. The project appears to be a template, and its readiness for specific production environments would require further evaluation.