🛠️Step 1: Defining the Agent's Functionality

Understanding the Agent's Purpose

1. Identify the Use Case:

   • Clearly define the problem the agent will solve or the task it will perform.

   • Examples include customer support, content generation, data analysis, etc.

2. Specify Goals and Tasks:

   • Break down the primary goal into smaller, actionable tasks.

   • Define clear objectives and expected outcomes for each task.

3. Determine Inputs and Outputs:

   • Identify the inputs the agent will need to perform its tasks

   • Define the expected outputs or responses from the agent.

Determine core capabilities

• Information retrieval (e.g. Wikipedia search)

• Data analysis (e.g. calculations)

• Domain-specific tasks (e.g. blog search)

Design action format

Action: <action_name>: <action_input>

Implement action functions

import requests

def wikipedia(query):
    url = f"https://en.wikipedia.org/w/api.php?action=opensearch&search={query}&limit=1&format=json"
    response = requests.get(url)
    data = response.json()
    if data[1]:
        return f"Wikipedia result for '{query}': {data[3][0]}"
    else:
        return f"No Wikipedia results found for '{query}'."

def calculate(expression):
    try:
        result = eval(expression)
        return f"Result of '{expression}': {result}"
    except:
        return f"Error evaluating '{expression}'. Please check the input."

def simon_blog_search(query):
    # Placeholder function - replace with actual blog search implementation
    return f"Searching Simon's blog for '{query}'... (Placeholder result)"

Resources

• Understanding AI Agents
• OpenAI API Documentation
• Awesome AI Agents
• CrewAI Documentation