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In this example, we will see how to stream the responses from an agent. This is useful when you want to process or show the response in real-time, as it’s generated.
1

Create a Python file

touch streaming.py
2

Add the following code to your Python file

streaming.py
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.run.agent import RunEvent

agent = Agent(
    model=OpenAIChat(id="gpt-5-mini"),
    instructions="You are a helpful assistant. All your responses must be brief and concise.",
)

# Run the agent with stream=True
stream = agent.run("Trending products", stream=True)

# Consume the streaming response
for chunk in stream:
    if chunk.event == RunEvent.run_content:
        print(chunk.content)
3

Create a virtual environment

Open the Terminal and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
4

Install libraries

pip install -U agno openai
5

Export your OpenAI API key

  export OPENAI_API_KEY="your_openai_api_key_here"
6

Run Agent

python streaming.py