Agentic AI: When Your AI Browses, Clicks, and Acts

from langchain.agents import AgentExecutor, create_openai_tools_agent
from langchain_openai import ChatOpenAI
from langchain.tools import tool
from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder

@tool
def search_web(query: str) -> str:
    """Search the web for current information."""
    # Integrate with Tavily, SerpAPI, or Brave Search
    import requests
    response = requests.get(
        "https://api.tavily.com/search",
        json={"query": query, "api_key": "YOUR_KEY"}
    )
    return response.json()["results"][0]["content"]

@tool  
def extract_page_data(url: str) -> str:
    """Extract structured data from a URL."""
    import requests
    from bs4 import BeautifulSoup
    html = requests.get(url).text
    soup = BeautifulSoup(html, "html.parser")
    return soup.get_text(separator="\n", strip=True)[:3000]

tools = [search_web, extract_page_data]
llm = ChatOpenAI(model="gpt-4o", temperature=0)

prompt = ChatPromptTemplate.from_messages([
    ("system", "You are a research agent. Complete tasks step by step."),
    ("human", "{input}"),
    MessagesPlaceholder(variable_name="agent_scratchpad"),
])

agent = create_openai_tools_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)

result = agent_executor.invoke({
    "input": "Find the top 3 AI conferences happening in 2027 and summarize their themes"
})
print(result["output"])