> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Team Metrics

> Demonstrates retrieving team, session, and member-level execution metrics.

```python team_metrics.py theme={null}
"""
Team Metrics
=============================

Demonstrates retrieving team, session, and member-level execution metrics.
"""

from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.models.openai import OpenAIResponses
from agno.team import Team
from agno.tools.yfinance import YFinanceTools
from agno.utils.pprint import pprint_run_response
from rich.pretty import pprint

# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
db = PostgresDb(db_url=db_url, session_table="team_metrics_sessions")

# ---------------------------------------------------------------------------
# Create Members
# ---------------------------------------------------------------------------
stock_searcher = Agent(
    name="Stock Searcher",
    model=OpenAIResponses(id="gpt-5-mini"),
    role="Searches the web for information on a stock.",
    tools=[YFinanceTools()],
)

# ---------------------------------------------------------------------------
# Create Team
# ---------------------------------------------------------------------------
team = Team(
    name="Stock Research Team",
    model=OpenAIResponses(id="gpt-5-mini"),
    members=[stock_searcher],
    db=db,
    session_id="team_metrics_demo",
    markdown=True,
    show_members_responses=True,
    store_member_responses=True,
)

# ---------------------------------------------------------------------------
# Run Team
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    run_output = team.run("What is the stock price of NVDA")
    pprint_run_response(run_output, markdown=True)

    print("=" * 50)
    print("TEAM LEADER MESSAGE METRICS")
    print("=" * 50)

    if run_output.messages:
        for message in run_output.messages:
            if message.role == "assistant":
                if message.content:
                    print(f" Message: {message.content[:100]}...")
                elif message.tool_calls:
                    print(f"Tool calls: {message.tool_calls}")

                print("-" * 30, "Metrics", "-" * 30)
                pprint(message.metrics)
                print("-" * 70)

    print("=" * 50)
    print("TEAM LEADER RUN METRICS")
    print("=" * 50)
    pprint(run_output.metrics)

    print("=" * 50)
    print("SESSION METRICS")
    print("=" * 50)
    pprint(team.get_session_metrics(session_id="team_metrics_demo"))

    print("=" * 50)
    print("TEAM MEMBER MESSAGE METRICS")
    print("=" * 50)

    if run_output.member_responses:
        for member_response in run_output.member_responses:
            if member_response.messages:
                for message in member_response.messages:
                    if message.role == "assistant":
                        if message.content:
                            print(f" Member Message: {message.content[:100]}...")
                        elif message.tool_calls:
                            print(f"Member Tool calls: {message.tool_calls}")

                        print("-" * 20, "Member Metrics", "-" * 20)
                        pprint(message.metrics)
                        print("-" * 60)
```

## Run the Example

<Snippet file="create-venv-step.mdx" />

**1. Install dependencies**

```bash theme={null}
uv pip install -U agno "psycopg[binary]" openai sqlalchemy yfinance
```

**2. Export your OpenAI API key**

```bash Mac/Linux theme={null}
export OPENAI_API_KEY="your_openai_api_key_here"
```

```bash Windows theme={null}
$Env:OPENAI_API_KEY="your_openai_api_key_here"
```

<Snippet file="run-pgvector-step.mdx" />

**3. Run the example**

Save the code above as `team_metrics.py`, then run:

```bash theme={null}
python team_metrics.py
```

Full source: [cookbook/03\_teams/22\_metrics/01\_team\_metrics.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/03_teams/22_metrics/01_team_metrics.py)


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