This example demonstrates how to stream intermediate steps during agent execution, providing visibility into tool calls and execution events.

​
Code

cookbook/agents/other/intermediate_steps.py
from typing import Iterator

from agno.agent import Agent, RunOutputEvent
from agno.models.openai import OpenAIChat
from agno.tools.duckduckgo import DuckDuckGoTools
from rich.pretty import pprint

agent = Agent(
    model=OpenAIChat(id="gpt-5-mini"),
    tools=[DuckDuckGoTools(stock_price=True)],
    markdown=True,
)

run_stream: Iterator[RunOutputEvent] = agent.run(
    "What is the stock price of NVDA", stream=True, stream_intermediate_steps=True
)
for chunk in run_stream:
    pprint(chunk.to_dict())
    print("---" * 20)

​
Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
2

Install libraries

pip install -U agno openai ddgs rich
3

Run Agent

python cookbook/agents/other/intermediate_steps.py