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

# Judge Agent

> Enhance the PandasAI library with the JudgeAgent that evaluates the generated code

## Introduction to the Judge Agent

The `JudgeAgent` extends the capabilities of the PandasAI library by adding an extra judgement in agents pipeline that validates the code generated against the query

> **Note:** The usage of the Judge Agent in production is subject to a license. For more details, refer to the [license documentation](https://github.com/Sinaptik-AI/pandas-ai/blob/master/pandasai/ee/LICENSE).
> If you plan to use it in production, [contact us](https://tally.so/r/wzZNWg).

## Instantiating the Judge Agent

JudgeAgent can be used both as a standalone agent and in conjunction with other agents. To use it with other agents, pass JudgeAgent as a parameter to them.

### Using with other agents

```python theme={null}
import os

from pandasai.agent.agent import Agent
from pandasai.ee.agents.judge_agent import JudgeAgent

os.environ["PANDASAI_API_KEY"] = "$2a****************************"

judge = JudgeAgent()
agent = Agent('github-stars.csv', judge=judge)

print(agent.chat("return total stars count"))
```

### Using as a standalone

```python theme={null}
from pandasai.ee.agents.judge_agent import JudgeAgent
from pandasai.llm.openai import OpenAI

# can be used with all LLM's
llm = OpenAI("openai_key")
judge_agent = JudgeAgent(config={"llm": llm})
judge_agent.evaluate(
    query="return total github star count for year 2023",
    code="""sql_query = "SELECT COUNT(`users`.`login`) AS user_count, DATE_FORMAT(`users`.`starredAt`, '%Y-%m') AS starred_at_by_month FROM `users` WHERE `users`.`starredAt` BETWEEN '2023-01-01' AND '2023-12-31' GROUP BY starred_at_by_month ORDER BY starred_at_by_month asc"
    data = execute_sql_query(sql_query)
    plt.plot(data['starred_at_by_month'], data['user_count'])
    plt.xlabel('Month')
    plt.ylabel('User Count')
    plt.title('GitHub Star Count Per Month - Year 2023')
    plt.legend(loc='best')
    plt.savefig('/Users/arslan/Documents/SinapTik/pandas-ai/exports/charts/temp_chart.png')
    result = {'type': 'plot', 'value': '/Users/arslan/Documents/SinapTik/pandas-ai/exports/charts/temp_chart.png'}
                        """,
)
```

Judge Agent integration with other agents also gives the flexibility to use different LLMs.