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Documentation Index

Fetch the complete documentation index at: https://agno-v2-shaloo-ai-support-link.mintlify.app/llms.txt

Use this file to discover all available pages before exploring further.

1

Create a Python file

performance_with_storage.py
"""Run `uv pip install openai agno` to install dependencies."""

from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.eval.performance import PerformanceEval
from agno.models.openai import OpenAIResponses

db = SqliteDb(db_file="tmp/storage.db")


def run_agent():
    agent = Agent(
        model=OpenAIResponses(id="gpt-5.2"),
        system_message="Be concise, reply with one sentence.",
        add_history_to_context=True,
        db=db,
    )
    response_1 = agent.run("What is the capital of France?")
    print(response_1.content)

    response_2 = agent.run("How many people live there?")
    print(response_2.content)

    return response_2.content


response_with_storage_perf = PerformanceEval(
    name="Storage Performance",
    func=run_agent,
    num_iterations=1,
    warmup_runs=0,
)

if __name__ == "__main__":
    response_with_storage_perf.run(print_results=True, print_summary=True)
2

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate
3

Install dependencies

uv pip install -U openai agno
4

Export your OpenAI API key

  export OPENAI_API_KEY="your_openai_api_key_here"
5

Run Agent

python performance_with_storage.py