Basic Agent Events Handling

This example demonstrates how to handle and monitor various agent events during execution, including run lifecycle events, tool calls, and content streaming.

Code

basic_agent_events.py

import asyncio

from agno.agent import RunEvent
from agno.agent.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.duckduckgo import DuckDuckGoTools

finance_agent = Agent(
    id="finance-agent",
    name="Finance Agent",
    model=OpenAIChat(id="gpt-5-mini"),
    tools=[DuckDuckGoTools()],
)


async def run_agent_with_events(prompt: str):
    content_started = False
    async for run_output_event in finance_agent.arun(
        prompt,
        stream=True,
        stream_events=True,
    ):
        if run_output_event.event in [RunEvent.run_started, RunEvent.run_completed]:
            print(f"\nEVENT: {run_output_event.event}")

        if run_output_event.event in [RunEvent.tool_call_started]:
            print(f"\nEVENT: {run_output_event.event}")
            print(f"TOOL CALL: {run_output_event.tool.tool_name}")  # type: ignore
            print(f"TOOL CALL ARGS: {run_output_event.tool.tool_args}")  # type: ignore

        if run_output_event.event in [RunEvent.tool_call_completed]:
            print(f"\nEVENT: {run_output_event.event}")
            print(f"TOOL CALL: {run_output_event.tool.tool_name}")  # type: ignore
            print(f"TOOL CALL RESULT: {run_output_event.tool.result}")  # type: ignore

        if run_output_event.event in [RunEvent.run_content]:
            if not content_started:
                print("\nCONTENT:")
                content_started = True
            else:
                print(run_output_event.content, end="")


if __name__ == "__main__":
    asyncio.run(
        run_agent_with_events(
            "What is the price of Apple stock?",
        )
    )

Usage

1. Create a virtual environment

   Open the Terminal and create a python virtual environment.

   Mac

   python3 -m venv .venv
   source .venv/bin/activate
   
2. Install libraries

   pip install -U agno openai ddgs
   
3. Export your OpenAI API key

   Mac/Linux

     export OPENAI_API_KEY="your_openai_api_key_here"
   
4. Create a Python file

   Create a Python file and add the above code.

   touch basic_agent_events.py
   
5. Run Agent

   Mac

   python basic_agent_events.py
   
6. Find All Cookbooks

   Explore all the available cookbooks in the Agno repository. Click the link below to view the code on GitHub:

   Agno Cookbooks on GitHub