Prompt Decorators

What is Prompt Decorators? Prompt Decorators is a standardized framework designed to enhance how Large Language Models (LLMs) process and respond to prompts through composable decorators. It includes an official open standard specification and a Python reference implementation with Model Context Protocol (MCP) server integration. How to use Prompt Decorators? To use Prompt Decorators, install the package via PyPI and load available decorators. You can create decorator instances and apply them to prompts to modify LLM behavior. For example, you can prefix prompts with annotations like +++Reasoning to control AI responses. Key features of Prompt Decorators? Standardized syntax for modifying LLM behavior Registry-based management of over 140 pre-built decorators Parameter validation and type checking for decorators Integration with MCP for enhanced functionality Extensive documentation and examples for users and developers Use cases of Prompt Decorators? Crafting prompts for specific reasoning patterns. Structuring outputs in particular formats. Ensuring consistent responses across different AI models. FAQ from Prompt Decorators? Can I use Prompt Decorators with any LLM? Yes! Prompt Decorators are designed to work across various LLM platforms. Is there a cost to use Prompt Decorators? No, Prompt Decorators is open-source and free to use. How do I contribute to the project? Contributions are welcome! Please refer to the contributing guidelines in the repository.

As an MCP (Model Context Protocol) server, Prompt Decorators enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use Prompt Decorators, install the package via PyPI and load available decorators. You can create decorator instances and apply them to prompts to modify LLM behavior. For example, you can prefix prompts with annotations like +++Reasoning to control AI responses. Key features of Prompt Decorators? Standardized syntax for modifying LLM behavior Registry-based management of over 140 pre-built decorators Parameter validation and type checking for decorators Integration with MCP for enhanced functionality Extensive documentation and examples for users and developers Use cases of Prompt Decorators? Crafting prompts for specific reasoning patterns. Structuring outputs in particular formats. Ensuring consistent responses across different AI models. FAQ from Prompt Decorators? Can I use Prompt Decorators with any LLM? Yes! Prompt Decorators are designed to work across various LLM platforms. Is there a cost to use Prompt Decorators? No, Prompt Decorators is open-source and free to use. How do I contribute to the project? Contributions are welcome! Please refer to the contributing guidelines in the repository.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.