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This example demonstrates how to create dynamic instructions that change based on session state, allowing personalized agent behavior for different users.
Code
from agno.agent import Agent
from agno.run import RunContext
def get_instructions(run_context: RunContext):
if not run_context.session_state:
run_context.session_state = {}
if run_context.session_state.get("current_user_id"):
return f"Make the story about {run_context.session_state.get('current_user_id')}."
return "Make the story about the user."
agent = Agent(instructions=get_instructions)
agent.print_response("Write a 2 sentence story", user_id="john.doe")
Usage
Create a virtual environment
Open the Terminal and create a python virtual environment.python3 -m venv .venv
source .venv/bin/activate
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
Create a Python file
Create a Python file and add the above code.touch dynamic_instructions.py
Run Agent
python dynamic_instructions.py
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