Apache Airflow
FreeManage Apache Airflow DAGs and workflows. Build AI agents that use Apache Airflowwith Agno Builder's visual drag-and-drop interface — no code required to prototype.
What is the Apache Airflow tool?
The Apache Airflow tool is a built-in capability in the Agno framework that allows AI agents to manage apache airflow dags and workflows. When added to an agent in Agno Builder, the agent can autonomously decide when to invoke this tool based on the user's request.
This is a free tool — no API key or external account is needed. It works out of the box when you add it to any agent.
How to use Apache Airflow in Agno Builder
- 1
Create an agent
Drag an Agent node onto the canvas in Agno Builder, or use one of the built-in templates.
- 2
Enable Apache Airflow
Click the agent, go to the Tools tab, and toggle on "Apache Airflow" from the cloud category.
- 3
Test in chat
Open the chat panel and send a message. The agent will automatically use Apache Airflow when relevant.
- 4
Export Python code
Click File > Export Python to get clean, runnable code with the correct imports for Apache Airflow.
Python code example
This is the code Agno Builder exports when you use Apache Airflow:
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.airflow import AirflowTools
agent = Agent(
name="Apache Airflow Agent",
model=OpenAIChat(id="gpt-4o"),
tools=[AirflowTools()],
instructions=["Use the apache airflow tool to help the user."],
markdown=True,
)
agent.print_response("Help me with a airflow task")Install with: pip install agno