Performance with Database Logging

1"""Example showing how to store evaluation results in the database."""
2
3from kern.agent import Agent
4from kern.db.postgres.postgres import PostgresDb
5from kern.eval.performance import PerformanceEval
6from kern.models.openai import OpenAIResponses
7
8
9# Simple function to run an agent which performance we will evaluate
10def run_agent():
11    agent = Agent(
12        model=OpenAIResponses(id="gpt-5.2"),
13        system_message="Be concise, reply with one sentence.",
14    )
15    response = agent.run("What is the capital of France?")
16    print(response.content)
17    return response
18
19
20# Setup the database
21db_url = "postgresql+psycopg://ai:ai@localhost:5432/ai"
22db = PostgresDb(db_url=db_url, eval_table="eval_runs_cookbook")
23
24simple_response_perf = PerformanceEval(
25    db=db,  # Pass the database to the evaluation. Results will be stored in the database.
26    name="Simple Performance Evaluation",
27    func=run_agent,
28    num_iterations=1,
29    warmup_runs=0,
30)
31
32if __name__ == "__main__":
33    simple_response_perf.run(print_results=True, print_summary=True)

1uv pip install -U openai kern-ai psycopg

1python performance_db_logging.py