Skip to main content

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

accuracy_with_given_answer.py
from typing import Optional

from agno.eval.accuracy import AccuracyEval, AccuracyResult
from agno.models.openai import OpenAIResponses

evaluation = AccuracyEval(
    name="Given Answer Evaluation",
    model=OpenAIResponses(id="gpt-5.2"),
    input="What is 10*5 then to the power of 2? do it step by step",
    expected_output="2500",
)
result_with_given_answer: Optional[AccuracyResult] = evaluation.run_with_output(
    output="2500", print_results=True
)
assert result_with_given_answer is not None and result_with_given_answer.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
4

Export your OpenAI API key

  export OPENAI_API_KEY="your_openai_api_key_here"
5

Run Agent

python accuracy_with_given_answer.py