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Documentation Index

Fetch the complete documentation index at: https://docs-v1.agno.com/llms.txt

Use this file to discover all available pages before exploring further.

This example shows how to use the response of an agent as a variable.

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Code

cookbook/agent_concepts/other/response_as_variable.py
from typing import Iterator
from rich.pretty import pprint
from agno.agent import Agent, RunResponse
from agno.models.openai import OpenAIChat
from agno.tools.duckduckgo import DuckDuckGoTools

agent = Agent(
    model=OpenAIChat(id="gpt-4o"),
    tools=[
        DuckDuckGoTools(
            search=True,
            news=True,
        )
    ],
    instructions=["Use tables where possible"],
    show_tool_calls=True,
    markdown=True,
)

run_response: RunResponse = agent.run("What are the latest developments in artificial intelligence?")
pprint(run_response)

# run_response_strem: Iterator[RunResponse] = agent.run("What are the latest developments in artificial intelligence?", stream=True)
# for response in run_response_strem:
#     pprint(response)

​
Usage

1

Create a virtual environment

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

Set your API key

export OPENAI_API_KEY=xxx
3

Install libraries

pip install -U openai agno ddgs rich
4

Run Agent

python cookbook/agent_concepts/other/response_as_variable.py