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A fast, modular, secure, and auditable toolkit to integrate with Azure OpenAI — with a friendly CLI and dev-first architecture.

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A fast, modular, secure, and auditable Python toolkit to integrate with Azure OpenAI — designed for developers, teams, and production environments.

💡 Use via import rsazure_openai_toolkit as rschat for access to all core features in one import.


🚀 What's New in v0.6.0

  • Object-oriented CLI (rschat, rschat-tools) — easier to test, extend and reuse
  • Persistent session context — with system prompt validation and full/trimmed history tracking
  • Reproducible model config — centralized via get_model_config() and ModelConfig
  • Transparent logging — structured logs via InteractionLogger (CSV/JSONL)
  • Modular architecture — folders like core/, session/, logging/, model_config/, etc.

Check the full CHANGELOG for details.


📖 Documentation


📋 Requirements

  • Python 3.9 or higher
  • An active Azure OpenAI resource and deployment

📄 License

This project is open source and licensed under the MIT License, ensuring maximum flexibility and adoption.

You are free to use it in both personal and commercial projects.


📦 Changelog

We follow semantic versioning to ensure predictable upgrades.


👨‍💻 About the Author

I'm a software engineer with real-world experience across backend, frontend, DevOps, cloud, and AI — building solutions that are designed to last.

Today, my passion is helping teams make AI development more accessible, maintainable, and truly production-ready — with full control, transparency, and respect for sound engineering principles.

I believe that great tools should be simple, powerful, and built to empower — not to lock people in. That’s the mindset behind everything I build and share.


📬 Contact

I'm always open to feedback, ideas, or professional collaboration.

Feel free to connect or open an issue.
Suggestions, contributions, and responsible disclosures are always welcome.

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