{
  "name": "agent-supervisor",
  "version": "1.0.0",
  "goal": "Demonstrate a supervisor-worker architecture for intelligent task delegation and real-time decision-making.",
  "inputs": [
    {
      "name": "OPENAI_API_KEY",
      "description": "OpenAI API key for language models."
    },
    {
      "name": "TAVILY_API_KEY",
      "description": "Tavily API key for search functionality."
    }
  ],
  "steps": [
    {
      "step": 1,
      "action": "Load environment variables.",
      "details": "Set the OPENAI_API_KEY and TAVILY_API_KEY environment variables."
    },
    {
      "step": 2,
      "action": "Configure LangChain tools.",
      "details": "Initialize TavilySearchResults and PythonREPLTool."
    },
    {
      "step": 3,
      "action": "Define agent nodes.",
      "details": "Create functions for the Researcher and Coder agents that process state through their respective tasks."
    },
    {
      "step": 4,
      "action": "Set up supervisor agent.",
      "details": "Create a supervisor agent function that decides which worker should act next based on user input."
    },
    {
      "step": 5,
      "action": "Build state graph.",
      "details": "Construct the state graph with nodes for each agent and edges connecting them to the supervisor node."
    },
    {
      "step": 6,
      "action": "Add conditional edges.",
      "details": "Define conditions for transitioning between agents based on their responses."
    },
    {
      "step": 7,
      "action": "Compile graph.",
      "details": "Compile the state graph into a runnable workflow."
    },
    {
      "step": 8,
      "action": "Run example queries.",
      "details": "Stream through the workflow with example inputs to demonstrate its functionality."
    }
  ],
  "outputs": [
    {
      "name": "Example 1: Code Hello World",
      "description": "A demonstration of coding a simple hello world program."
    },
    {
      "name": "Example 2: Research Report",
      "description": "A demonstration of researching and writing a brief report on pikas."
    }
  ],
  "failure_modes": [
    {
      "mode": "Invalid API keys",
      "description": "The workflow may fail if the provided API keys are invalid or expired."
    },
    {
      "mode": "Insufficient permissions",
      "description": "The workflow may fail if the user does not have sufficient permissions to use the Tavily search functionality."
    }
  ],
  "confidence": 0.9,
  "explanation": "This workflow demonstrates a hierarchical multi-agent system where a supervisor agent makes routing decisions based on user input, delegating tasks to specialized worker agents (Researcher and Coder). It is designed to be reusable for similar task delegation scenarios.",
  "source_repo": "https://github.com/extrawest/multi_agent_workflow_demo_in_langgraph.git",
  "score": 1.0
}