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

# Team Accuracy Evaluation

> Score a two-agent English/Spanish routing Team on its refusal response to a French prompt.

Demonstrates evaluating language routing accuracy for a team.

```python accuracy_team.py theme={null}
"""
Team Accuracy Evaluation
========================

Demonstrates evaluating language routing accuracy for a team.
"""

from typing import Optional

from agno.agent import Agent
from agno.eval.accuracy import AccuracyEval, AccuracyResult
from agno.models.openai import OpenAIChat
from agno.team.team import Team

# ---------------------------------------------------------------------------
# Create Team Members
# ---------------------------------------------------------------------------
english_agent = Agent(
    name="English Agent",
    role="You only answer in English",
    model=OpenAIChat(id="gpt-4o"),
)
spanish_agent = Agent(
    name="Spanish Agent",
    role="You can only answer in Spanish",
    model=OpenAIChat(id="gpt-4o"),
)

# ---------------------------------------------------------------------------
# Create Team
# ---------------------------------------------------------------------------
multi_language_team = Team(
    name="Multi Language Team",
    model=OpenAIChat("gpt-4o"),
    members=[english_agent, spanish_agent],
    respond_directly=True,
    markdown=True,
    instructions=[
        "You are a language router that directs questions to the appropriate language agent.",
        "If the user asks in a language whose agent is not a team member, respond in English with:",
        "'I can only answer in the following languages: English and Spanish.",
        "Always check the language of the user's input before routing to an agent.",
    ],
)

# ---------------------------------------------------------------------------
# Create Evaluation
# ---------------------------------------------------------------------------
evaluation = AccuracyEval(
    name="Multi Language Team",
    model=OpenAIChat(id="o4-mini"),
    team=multi_language_team,
    input="Comment allez-vous?",
    expected_output="I can only answer in the following languages: English and Spanish.",
    num_iterations=1,
)

# ---------------------------------------------------------------------------
# Run Evaluation
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    result: Optional[AccuracyResult] = evaluation.run(print_results=True)
    assert result is not None and result.avg_score >= 8
```

## Run the Example

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

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno openai
    ```
  </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 the example">
    Save the code above as `accuracy_team.py`, then run:

    ```bash theme={null}
    python accuracy_team.py
    ```
  </Step>
</Steps>

Full source: [cookbook/09\_evals/accuracy/accuracy\_team.py](https://github.com/agno-agi/agno/blob/main/cookbook/09_evals/accuracy/accuracy_team.py)