Dynamic Instructions via Function

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

1. Create a virtual environment

   Open the Terminal and create a python virtual environment.

   Mac

   python3 -m venv .venv
   source .venv/bin/activate
   
2. Install libraries

   pip install -U agno
   
3. Export your OpenAI API key

   Mac/Linux

     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

   Mac

   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