Remote MCP Server for Cloudflare

## Agent Design Foundations Actors - **Agent**: The core component that manages the interaction between the user, UI, LLM, and tools. - **User**: The individual who interacts with the agent, providing input and receiving output. - **UI**: The interface through which users interact with the agent. - **Context Provider**: External data sources that provide context to the agent. - **LLM Endpoint**: The API endpoint for the language model. - **Tool Service**: Modular services that perform specific tasks as requested by the agent. Model - The LLM powering the agent's reasoning and decision-making. Tools - External functions or APIs the agent can call to perform specific tasks (e.g., data retrieval, calculations). Instructions - Explicit guidlines and guardrails for the agent's behavior, including safety and ethical considerations. Agent categories ie chatbot, analyst, assistant, etc. - **Chatbot**: Engages in conversational interactions with users. - **Analyst**: Analyzes data and provides insights. - **Assistant**: Assists users in completing tasks or finding information. - **Agent**: A general-purpose agent that can perform a variety of tasks. - **Chatbot**: A specialized agent focused on conversational interactions. Tools ## Flow Engineering - It is designing the workflow of the agents. - defines who does what and who has what role. - In conjunction with Prompt Engineering, it creates a complete system. Self Consistency Tree of thought