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

# Team Metrics Analysis

This example demonstrates how to access and analyze comprehensive team metrics including message-level metrics, session metrics, and member-specific performance data.

## Code

```python team_metrics.py theme={null}
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
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

db = SqliteDb(db_file="tmp/team_metrics.db")

stock_agent = Agent(
    name="Stock Agent",
    model=OpenAIResponses(id="gpt-5.2"),
    role="Get stock prices and financial data.",
    tools=[YFinanceTools()],
)

team = Team(
    name="Finance Team",
    model=OpenAIResponses(id="gpt-5.2"),
    members=[stock_agent],
    db=db,
    session_id="team_metrics_demo",
    markdown=True,
    show_members_responses=True,
    store_member_responses=True,
)

run_output = team.run("What is the stock price of NVDA?")
pprint_run_response(run_output, markdown=True)

# Analyze team leader message metrics
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)

# Analyze aggregated team metrics
print("=" * 50)
print("AGGREGATED TEAM METRICS")
print("=" * 50)
pprint(run_output.metrics)

# Analyze session-level metrics
print("=" * 50)
print("SESSION METRICS")
print("=" * 50)
pprint(team.get_session_metrics(session_id="team_metrics_demo"))

# Analyze individual member metrics
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)
```

## Usage

<Steps>
  <Step title="Create a Python file">
    Create `team_metrics.py` with the code above.
  </Step>

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

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno openai yfinance
    ```
  </Step>

  <Step title="Export your OpenAI API key">
    <CodeGroup>
      ```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"
      ```
    </CodeGroup>
  </Step>

  <Step title="Run Team">
    ```bash theme={null}
    python team_metrics.py
    ```
  </Step>
</Steps>