1
Create a Python file
accuracy_with_given_answer.py
2
Set up your virtual environment
3
Install dependencies
4
Export your OpenAI API key
5
Run Agent
Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Example showing how to evaluate a precomputed answer directly with AccuracyEval.run_with_output(), without running an Agent.
Create a Python file
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
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 openai agno
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
Run Agent
python accuracy_with_given_answer.py
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