1
Add the following code to your Python file
agent_as_judge_binary.py
2
Set up your virtual environment
3
Install dependencies
4
Export your OpenAI API key
5
Run the example
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Binary pass/fail evaluation without numeric scoring
Add the following code to your Python file
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.eval.agent_as_judge import AgentAsJudgeEval
from agno.models.openai import OpenAIResponses
# Setup database to persist eval results
db = SqliteDb(db_file="tmp/agent_as_judge_binary.db")
agent = Agent(
model=OpenAIResponses(id="gpt-5.2"),
instructions="You are a customer service agent. Respond professionally.",
db=db,
)
response = agent.run("I need help with my account")
evaluation = AgentAsJudgeEval(
name="Professional Tone Check",
criteria="Response must maintain professional tone without informal language or slang",
db=db,
)
result = evaluation.run(
input="I need help with my account",
output=str(response.content),
print_results=True,
print_summary=True,
)
print(f"Result: {'PASSED' if result.results[0].passed else 'FAILED'}")
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 sqlalchemy
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
python agent_as_judge_binary.py
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