AI
AI Agents
LLM
Autonomous Systems
Python
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AI Agents are the next frontier beyond chatbots. While a chatbot responds to prompts, an AI Agent can reason about goals, break them into steps, use tools, and execute complex multi-step workflows autonomously.
An AI Agent is a system that:
┌──────────────────────────────────────────┐
│ AI AGENT │
│ │
│ ┌─────────┐ ┌──────────┐ ┌─────────┐ │
│ │ Memory │ │ Planner │ │ Executor│ │
│ │ (RAG) │ │ (LLM) │ │ (Tools) │ │
│ └────┬─────┘ └────┬─────┘ └────┬────┘ │
│ │ │ │ │
│ └─────────────┼─────────────┘ │
│ │ │
│ ┌──────┴──────┐ │
│ │ Observation │ │
│ │ Loop │ │
│ └─────────────┘ │
└──────────────────────────────────────────┘
pythonfrom langgraph.graph import StateGraph, MessagesState
from langchain_openai import ChatOpenAI
from langchain_core.tools import tool
@tool
def search_web(query: str) -> str:
"""Search the web for current information."""
# Implementation here
return f"Results for: {query}"
@tool
def run_code(code: str) -> str:
"""Execute Python code in a sandbox."""
# Implementation here
return "Code output"
# Create the agent
llm = ChatOpenAI(model="gpt-4o").bind_tools([search_web, run_code])
def agent_node(state: MessagesState):
response = llm.invoke(state["messages"])
return {"messages": [response]}
def tool_node(state: MessagesState):
# Execute tool calls
...
# Build the graph
graph = StateGraph(MessagesState)
graph.add_node("agent", agent_node)
graph.add_node("tools", tool_node)
graph.add_edge("agent", "tools")
graph.add_edge("tools", "agent")
agent = graph.compile()
The most powerful pattern is having multiple specialized agents work together:
python# Supervisor agent delegates to specialists
agents = {
"researcher": ResearchAgent(), # Searches and gathers info
"coder": CodingAgent(), # Writes and tests code
"reviewer": ReviewAgent(), # Reviews quality
"deployer": DeploymentAgent(), # Deploys to production
}
supervisor = SupervisorAgent(
agents=agents,
planning_model="o3",
execution_model="gpt-4o-mini"
)
result = supervisor.execute(
"Build a REST API for user management with tests"
)
By 2026, we'll see AI agents that can:
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