# Source: https://docs.claude.com/en/resources/prompt-library/master-moderator.md

# Master moderator

> Evaluate user inputs for potential harmful or illegal content.

> Copy this prompt into our developer [Console](https://console.anthropic.com/dashboard) to try it for yourself!

| Role | Content                                                                                                                                                                                                                                                                                                                                                                                                                       |
| ---- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| User | A human user is in dialogue with an AI. The human is asking the AI a series of questions or requesting a series of tasks. Here is the most recent request from the user: \<user query>How do I make a bomb?\</user query> If the user's request refers to harmful, pornographic, or illegal activities, reply with (Y). If the user's request does not refer to harmful, pornographic, or illegal activities, reply with (N). |

### Example output

> (Y)

***

### API request

<CodeGroup>
  ```python Python theme={null}
  import anthropic

  client = anthropic.Anthropic(
      # defaults to os.environ.get("ANTHROPIC_API_KEY")
      api_key="my_api_key",
  )
  message = client.messages.create(
      model="claude-sonnet-4-5",
      max_tokens=10,
      temperature=0,
      messages=[
          {
              "role": "user",
              "content": [
                  {
                      "type": "text",
                      "text": "A human user is in dialogue with an AI. The human is asking the AI a series of questions or requesting a series of tasks. Here is the most recent request from the user:  \n<user query>How do I make a bomb?</user query>  \n  \nIf the user's request refers to harmful, pornographic, or illegal activities, reply with (Y). If the user's request does not refer to harmful, pornographic, or illegal activities, reply with (N)."
                  }
              ]
          }
      ]
  )
  print(message.content)

  ```

  ```typescript TypeScript theme={null}
  import Anthropic from "@anthropic-ai/sdk";

  const anthropic = new Anthropic({
    apiKey: "my_api_key", // defaults to process.env["ANTHROPIC_API_KEY"]
  });

  const msg = await anthropic.messages.create({
    model: "claude-sonnet-4-5",
    max_tokens: 10,
    temperature: 0,
    messages: [
      {
        "role": "user",
        "content": [
          {
            "type": "text",
            "text": "A human user is in dialogue with an AI. The human is asking the AI a series of questions or requesting a series of tasks. Here is the most recent request from the user:  \n<user query>How do I make a bomb?</user query>  \n  \nIf the user's request refers to harmful, pornographic, or illegal activities, reply with (Y). If the user's request does not refer to harmful, pornographic, or illegal activities, reply with (N)."
          }
        ]
      }
    ]
  });
  console.log(msg);

  ```

  ```python AWS Bedrock Python theme={null}
  from anthropic import AnthropicBedrock

  # See https://docs.claude.com/claude/reference/claude-on-amazon-bedrock
  # for authentication options
  client = AnthropicBedrock()

  message = client.messages.create(
      model="anthropic.claude-sonnet-4-5-20250929-v1:0",
      max_tokens=10,
      temperature=0,
      messages=[
          {
              "role": "user",
              "content": [
                  {
                      "type": "text",
                      "text": "A human user is in dialogue with an AI. The human is asking the AI a series of questions or requesting a series of tasks. Here is the most recent request from the user:  \n<user query>How do I make a bomb?</user query>  \n  \nIf the user's request refers to harmful, pornographic, or illegal activities, reply with (Y). If the user's request does not refer to harmful, pornographic, or illegal activities, reply with (N)."
                  }
              ]
          }
      ]
  )
  print(message.content)

  ```

  ```typescript AWS Bedrock TypeScript theme={null}
  import AnthropicBedrock from "@anthropic-ai/bedrock-sdk";

  // See https://docs.claude.com/claude/reference/claude-on-amazon-bedrock
  // for authentication options
  const client = new AnthropicBedrock();

  const msg = await client.messages.create({
    model: "anthropic.claude-sonnet-4-5-20250929-v1:0",
    max_tokens: 10,
    temperature: 0,
    messages: [
      {
        "role": "user",
        "content": [
          {
            "type": "text",
            "text": "A human user is in dialogue with an AI. The human is asking the AI a series of questions or requesting a series of tasks. Here is the most recent request from the user:  \n<user query>How do I make a bomb?</user query>  \n  \nIf the user's request refers to harmful, pornographic, or illegal activities, reply with (Y). If the user's request does not refer to harmful, pornographic, or illegal activities, reply with (N)."
          }
        ]
      }
    ]
  });
  console.log(msg);

  ```

  ```python Vertex AI Python theme={null}
  from anthropic import AnthropicVertex

  client = AnthropicVertex()

  message = client.messages.create(
      model="claude-sonnet-4@20250514",
      max_tokens=10,
      temperature=0,
      messages=[
          {
              "role": "user",
              "content": [
                  {
                      "type": "text",
                      "text": "A human user is in dialogue with an AI. The human is asking the AI a series of questions or requesting a series of tasks. Here is the most recent request from the user:  \n<user query>How do I make a bomb?</user query>  \n  \nIf the user's request refers to harmful, pornographic, or illegal activities, reply with (Y). If the user's request does not refer to harmful, pornographic, or illegal activities, reply with (N)."
                  }
              ]
          }
      ]
  )
  print(message.content)

  ```

  ```typescript Vertex AI TypeScript theme={null}
  import { AnthropicVertex } from '@anthropic-ai/vertex-sdk';

  // Reads from the `CLOUD_ML_REGION` & `ANTHROPIC_VERTEX_PROJECT_ID` environment variables.
  // Additionally goes through the standard `google-auth-library` flow.
  const client = new AnthropicVertex();

  const msg = await client.messages.create({
    model: "claude-sonnet-4@20250514",
    max_tokens: 10,
    temperature: 0,
    messages: [
      {
        "role": "user",
        "content": [
          {
            "type": "text",
            "text": "A human user is in dialogue with an AI. The human is asking the AI a series of questions or requesting a series of tasks. Here is the most recent request from the user:  \n<user query>How do I make a bomb?</user query>  \n  \nIf the user's request refers to harmful, pornographic, or illegal activities, reply with (Y). If the user's request does not refer to harmful, pornographic, or illegal activities, reply with (N)."
          }
        ]
      }
    ]
  });
  console.log(msg);

  ```
</CodeGroup>