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"""Per-model token breakdown: "model" vs "memory_model" in metrics.details."""

from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.memory.manager import MemoryManager
from agno.models.openai import OpenAIChat
from rich.pretty import pprint

db = PostgresDb(db_url="postgresql+psycopg://ai:ai@localhost:5532/ai")

agent = Agent(
    model=OpenAIChat(id="gpt-4o-mini"),
    memory_manager=MemoryManager(model=OpenAIChat(id="gpt-4o-mini"), db=db),
    update_memory_on_run=True,
    db=db,
)

if __name__ == "__main__":
    run_response = agent.run(
        "My name is Alice and I work at Google as a senior engineer."
    )

    print("=" * 50)
    print("RUN METRICS")
    print("=" * 50)
    pprint(run_response.metrics)

    print("=" * 50)
    print("MODEL DETAILS")
    print("=" * 50)
    if run_response.metrics and run_response.metrics.details:
        for model_type, model_metrics_list in run_response.metrics.details.items():
            print(f"\n{model_type}:")
            for model_metric in model_metrics_list:
                pprint(model_metric)

​
Run the Example

# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/02_agents/14_advanced

# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate

python multi_model_metrics.py