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This example demonstrates how to provide instructions to an agent via a function that can access the agent’s properties, enabling dynamic and personalized instruction generation.

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Code

instructions_via_function.py
from typing import List

from agno.agent import Agent


def get_instructions(agent: Agent) -> List[str]:
    return [
        f"Your name is {agent.name}!",
        "Talk in haiku's!",
        "Use poetry to answer questions.",
    ]


agent = Agent(
    name="AgentX",
    instructions=get_instructions,
    markdown=True,
)
agent.print_response("Who are you?", stream=True)

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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
3

Export your OpenAI API key

  export OPENAI_API_KEY="your_openai_api_key_here"
4

Create a Python file

Create a Python file and add the above code.
touch instructions_via_function.py
5

Run Agent

python instructions_via_function.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
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