from agno import Agent

def get_weather(location: str) -> dict:
    """Get weather for a location."""
    # Implementation
    return {"temp": 72, "condition": "sunny"}

agent = Agent(
    model=OpenAI(id="gpt-4o"),
    tools=[get_weather],
    show_tool_calls=True
)

from agno.tools import DuckDuckGoTools, FileTools

agent = Agent(
    tools=[DuckDuckGoTools(), FileTools()]
)

from langchain.tools import TavilySearchResults
from langchain.agents import initialize_agent

search = TavilySearchResults(api_key=api_key)

agent = initialize_agent(
    tools=[search],
    llm=llm,
    agent_type="openai-functions"
)

from agno.tools.mcp import MCPTools

# GitHub MCP
github_mcp = MCPTools(
    server_script="npx",
    server_args=["-y", "@modelcontextprotocol/server-github"],
    env={"GITHUB_PERSONAL_ACCESS_TOKEN": token}
)

agent = Agent(tools=[github_mcp])