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Documentation Index

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

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1

Create a Python file

accuracy_db_logging.py
"""Example showing how to store evaluation results in the database."""

from typing import Optional

from agno.agent import Agent
from agno.db.postgres.postgres import PostgresDb
from agno.eval.accuracy import AccuracyEval, AccuracyResult
from agno.models.openai import OpenAIResponses
from agno.tools.calculator import CalculatorTools

# Setup the database
db_url = "postgresql+psycopg://ai:ai@localhost:5432/ai"
db = PostgresDb(db_url=db_url, eval_table="eval_runs_cookbook")


evaluation = AccuracyEval(
    db=db,  # Pass the database to the evaluation. Results will be stored in the database.
    name="Calculator Evaluation",
    model=OpenAIResponses(id="gpt-5.2"),
    agent=Agent(
        model=OpenAIResponses(id="gpt-5.2"),
        tools=[CalculatorTools()],
    ),
    input="What is 10*5 then to the power of 2? do it step by step",
    expected_output="2500",
    additional_guidelines="Agent output should include the steps and the final answer.",
    num_iterations=1,
)

result: Optional[AccuracyResult] = evaluation.run(print_results=True)
assert result is not None and result.avg_score >= 8
2

Set up your virtual environment

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

Install dependencies

uv pip install -U openai agno psycopg
4

Export your OpenAI API key

  export OPENAI_API_KEY="your_openai_api_key_here"
5

Run Agent

python accuracy_db_logging.py