AI Agents Developer Guide
Learn how to build autonomous AI Agents that can plan, use tools, and execute workflows without human intervention.
What is an AI Agent?
An AI Agent is an LLM (like GPT-4) equipped with memory, a system prompt, and access to external tools (like a web browser, a calculator, or a database). Unlike a chatbot that just talks, an Agent can *act*.
Example Concept
Chatbot: 'The weather in NY is 70 degrees.' Agent: [Runs getWeather tool] -> 'It is 70 degrees. I have added this to your Google Calendar.'
Interview Preparation
What is the difference between an LLM and an Agent? (Answer: Tools and Agency)
Tool Calling (Function Calling)
Agents interact with the world using Tool Calling. You provide the LLM with a JSON schema of available functions, and the LLM decides which function to use and what arguments to pass.
Example Concept
// Example Tool Schema
{
"name": "get_stock_price",
"description": "Get current stock price",
"parameters": { "ticker": "string" }
}Interview Preparation
How do you force an LLM to output valid JSON for a function call? (Answer: Structured Outputs/Function Calling API)