> ## 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.

# Batch Agent as Judge

> Evaluate multiple input/output pairs in a single batch

Evaluate multiple input/output pairs together in a single batch.

**1. Add the following code to your Python file**

```python agent_as_judge_batch.py theme={null}
from agno.db.sqlite import SqliteDb
from agno.eval.agent_as_judge import AgentAsJudgeEval

# Setup database to persist eval results
db = SqliteDb(db_file="tmp/agent_as_judge_batch.db")

evaluation = AgentAsJudgeEval(
    name="Customer Service Quality",
    criteria="Response should be empathetic, professional, and helpful",
    scoring_strategy="binary",  # PASS/FAIL for each case
    db=db,
)

result = evaluation.run(
    cases=[
        {
            "input": "My order is delayed and I'm very upset!",
            "output": "I sincerely apologize for the delay. I understand how frustrating this must be. Let me check your order status right away and see how we can make this right for you.",
        },
        {
            "input": "Can you help me with a refund?",
            "output": "Of course! I'd be happy to help with your refund. Could you please provide your order number so I can process this quickly for you?",
        },
        {
            "input": "Your product is terrible!",
            "output": "I'm sorry to hear you're disappointed. Your feedback is valuable to us. Could you share more details about what went wrong so we can improve?",
        },
    ],
    print_results=True,
)

print(f"Pass rate: {result.pass_rate:.1f}%")
print(f"Passed: {sum(1 for r in result.results if r.passed)}/{len(result.results)}")

```

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

**2. Install dependencies**

```bash theme={null}
uv pip install -U agno openai sqlalchemy
```

**3. 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"
```

**4. Run the example**

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


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