Session Summary Metrics

1"""Session summary model token usage tracked under the "session_summary_model" detail key."""
2
3from kern.agent import Agent
4from kern.db.postgres import PostgresDb
5from kern.models.openai import OpenAIChat
6from kern.session.summary import SessionSummaryManager
7from rich.pretty import pprint
8
9db = PostgresDb(db_url="postgresql+psycopg://ai:ai@localhost:5532/ai")
10
11agent = Agent(
12    model=OpenAIChat(id="gpt-5.1"),
13    session_summary_manager=SessionSummaryManager(
14        model=OpenAIChat(id="gpt-4o-mini"),
15    ),
16    enable_session_summaries=True,
17    db=db,
18    session_id="session-summary-metrics-demo",
19)
20
21if __name__ == "__main__":
22    # First run
23    run_response_1 = agent.run("My name is Alice and I work at Google.")
24    print("=" * 50)
25    print("RUN 1 METRICS")
26    print("=" * 50)
27    pprint(run_response_1.metrics)
28
29    # Second run - triggers session summary
30    run_response_2 = agent.run("I also enjoy hiking on weekends.")
31    print("=" * 50)
32    print("RUN 2 METRICS")
33    print("=" * 50)
34    pprint(run_response_2.metrics)
35
36    print("=" * 50)
37    print("MODEL DETAILS (Run 2)")
38    print("=" * 50)
39    if run_response_2.metrics and run_response_2.metrics.details:
40        for model_type, model_metrics_list in run_response_2.metrics.details.items():
41            print(f"\n{model_type}:")
42            for model_metric in model_metrics_list:
43                pprint(model_metric)
44
45    print("=" * 50)
46    print("SESSION METRICS (accumulated)")
47    print("=" * 50)
48    session_metrics = agent.get_session_metrics()
49    if session_metrics:
50        pprint(session_metrics)

1# Clone and setup repo
2git clone https://github.com/kern-ai/kern.git
3cd kern/cookbook/02_agents/14_advanced
4
5# Create and activate virtual environment
6./scripts/demo_setup.sh
7source .venvs/demo/bin/activate
8
9python session_summary_metrics.py