Introduction to Kodey.ai Prompting

Kodey.ai's platform allows you to create multi-agent systems where a supervisor agent coordinates with specialized sub-agents to handle different aspects of user conversations. This approach enables you to build sophisticated AI assistants that can handle a wide range of tasks with specialized expertise.

What is Multi-Agent Prompting?

Multi-agent prompting is a system architecture where:

  • A supervisor agent acts as a coordinator
  • Multiple specialized sub-agents handle specific tasks or domains
  • Routing logic determines which agent responds to each user message
  • Each agent has its own prompt and capabilities

Key Components

  1. Supervisor Prompt: Controls the routing logic that determines which agent handles each user message
  2. Agent Routing Logic: Defines specific rules for when particular agents should be selected
  3. Agent-Specific Prompts: Determines how individual agents behave within their domain
  4. XML Tags: Structural elements that help organize your prompts for better performance

Benefits of Multi-Agent Systems

  • Specialized expertise: Each agent can focus on what it does best
  • Cleaner prompts: Avoid creating massive, unwieldy prompts that try to handle everything
  • Better organization: Separate concerns for easier maintenance and updates
  • Improved performance: Agents that focus on specific tasks typically perform those tasks better

Next Steps

To start building your multi-agent system in Kodey.ai, you'll need to understand:

  1. How to configure the supervisor prompt
  2. How to set up agent routing logic
  3. How to create effective agent-specific prompts
  4. How to use XML tags effectively
  5. How supervisor and agents interact
  6. The recommended workflow for creating agents

The following sections will guide you through each of these topics in detail.