agent_with_instructions.py
Run the Example
1
Set up your virtual environment
2
Install dependencies
3
Export your OpenAI API key
4
Run the example
Save the code above as
agent_with_instructions.py, then run:Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Steer agent responses with an instructions string that enforces a three-bullet answer format.
"""
Agent With Instructions
=============================
Agent With Instructions Quickstart.
"""
from agno.agent import Agent
from agno.models.openai import OpenAIResponses
# ---------------------------------------------------------------------------
# Agent Instructions
# ---------------------------------------------------------------------------
instructions = """\
You are a concise assistant.
Answer with exactly 3 bullet points when possible.\
"""
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
name="Instruction-Tuned Agent",
model=OpenAIResponses(id="gpt-5.2"),
instructions=instructions,
)
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
agent.print_response("How can I improve my Python debugging workflow?", stream=True)
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
Install dependencies
uv pip install -U agno openai
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
Run the example
agent_with_instructions.py, then run:python agent_with_instructions.py
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