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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.
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)
Usage
Create a Python file
Create instructions_via_function.py with the code above.
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
Install dependencies
uv pip install -U agno openai
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
Run Agent
python instructions_via_function.py