---
title: AI 커스텀 규칙 생성
description: 규칙 세트 내에 새로운 AI 커스텀 규칙을 생성합니다.
breadcrumbs: 문서 > API > AI 커스텀 규칙 생성
---

> For the complete documentation index, see [llms.txt](https://dnd37xeb23o8n.cloudfront.net/stefon.simmons/docs-astro-web-10435/llms.txt).

# AI 커스텀 규칙 생성

## v2 (latest)

{% alert level="warning" %}
**Note**: This endpoint is in preview and is subject to change.
If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help.md).
{% /alert %}

| Datadog site      | API endpoint                                                                               |
| ----------------- | ------------------------------------------------------------------------------------------ |
| app.datadoghq.com | POST https://api.datadoghq.com/api/v2/static-analysis/ai/rulesets/{ruleset_name}/rules     |
| us3.datadoghq.com | POST https://api.us3.datadoghq.com/api/v2/static-analysis/ai/rulesets/{ruleset_name}/rules |
| us5.datadoghq.com | POST https://api.us5.datadoghq.com/api/v2/static-analysis/ai/rulesets/{ruleset_name}/rules |
| app.datadoghq.eu  | POST https://api.datadoghq.eu/api/v2/static-analysis/ai/rulesets/{ruleset_name}/rules      |
| ap1.datadoghq.com | POST https://api.ap1.datadoghq.com/api/v2/static-analysis/ai/rulesets/{ruleset_name}/rules |
| ap2.datadoghq.com | POST https://api.ap2.datadoghq.com/api/v2/static-analysis/ai/rulesets/{ruleset_name}/rules |
| uk1.datadoghq.com | POST https://api.uk1.datadoghq.com/api/v2/static-analysis/ai/rulesets/{ruleset_name}/rules |
| app.ddog-gov.com  | POST https://api.ddog-gov.com/api/v2/static-analysis/ai/rulesets/{ruleset_name}/rules      |
| us2.ddog-gov.com  | POST https://api.us2.ddog-gov.com/api/v2/static-analysis/ai/rulesets/{ruleset_name}/rules  |

### Overview

규칙 세트 내에 새로운 AI 커스텀 규칙을 생성합니다.

### Arguments

#### Path Parameters

| Field                     | Type   | Description       |
| ------------------------- | ------ | ----------------- |
| ruleset_name [*required*] | string | The ruleset name. |

### Request

#### Body Data (required)

{% tabs %}
{% tab label="Model" %}
| Parent field | Field      | Type   | Description                                                   |
| ------------ | ---------- | ------ | ------------------------------------------------------------- |
|              | data       | object | AI 커스텀 규칙 생성을 위한 요청 본문입니다.                                    |
| data         | attributes | object | Attributes for creating an AI custom rule.                    |
| attributes   | name       | string | The rule name.                                                |
| data         | id         | string | The rule identifier, which must match the name.               |
| data         | type       | enum   | AI custom rule resource type. Allowed enum values: `ai_rule`. |
{% /tab %}

{% tab label="Example" %}
```json
{
  "data": {
    "attributes": {
      "name": "my-ai-rule"
    },
    "id": "my-ai-rule",
    "type": "ai_rule"
  }
}
```
{% /tab %}
{% /tabs %}

### Response

{% tabs %}
{% tab label="200" %}
Successfully created

{% tabs %}
{% tab label="Model" %}
Response containing a single AI custom rule.

| Parent field  | Field                          | Type      | Description                                                                                                  |
| ------------- | ------------------------------ | --------- | ------------------------------------------------------------------------------------------------------------ |
|               | data [*required*]              | object    | Response data for an AI custom rule.                                                                         |
| data          | attributes [*required*]        | object    | An AI custom rule embedded within a ruleset response.                                                        |
| attributes    | created_at [*required*]        | date-time | The creation timestamp.                                                                                      |
| attributes    | created_by [*required*]        | string    | The identifier of the user who created the rule.                                                             |
| attributes    | last_revision [*required*]     | object    | The most recent revision of the rule.                                                                        |
| last_revision | category [*required*]          | enum      | Rule category Allowed enum values: `SECURITY`, `BEST_PRACTICES`, `CODE_STYLE`, `ERROR_PRONE`, `PERFORMANCE`. |
| last_revision | checksum [*required*]          | string    | Checksum of the revision content.                                                                            |
| last_revision | content [*required*]           | string    | Base64-encoded AI model content for this revision.                                                           |
| last_revision | created_at [*required*]        | date-time | The creation timestamp.                                                                                      |
| last_revision | created_by [*required*]        | string    | The identifier of the user who created the revision.                                                         |
| last_revision | cwe [*required*]               | string    | The associated CWE identifier.                                                                               |
| last_revision | description [*required*]       | string    | Base64-encoded full description.                                                                             |
| last_revision | directories [*required*]       | [string]  | Directory patterns this rule applies to.                                                                     |
| last_revision | execution_mode [*required*]    | enum      | The execution mode for an AI rule revision. Allowed enum values: `auto`, `manual`, `always`.                 |
| last_revision | globs [*required*]             | [string]  | File glob patterns this rule applies to.                                                                     |
| last_revision | is_default [*required*]        | boolean   | Whether this is a default Datadog rule.                                                                      |
| last_revision | is_published [*required*]      | boolean   | Whether this revision is published.                                                                          |
| last_revision | is_testing [*required*]        | boolean   | Whether this revision is for testing only.                                                                   |
| last_revision | severity [*required*]          | enum      | Rule severity Allowed enum values: `ERROR`, `WARNING`, `NOTICE`, `NONE`.                                     |
| last_revision | short_description [*required*] | string    | Base64-encoded short description.                                                                            |
| last_revision | version_id [*required*]        | int64     | The version identifier for this revision.                                                                    |
| attributes    | name [*required*]              | string    | The rule name.                                                                                               |
| data          | id [*required*]                | string    | The rule identifier.                                                                                         |
| data          | type [*required*]              | enum      | AI custom rule resource type. Allowed enum values: `ai_rule`.                                                |
{% /tab %}

{% tab label="Example" %}
```json
{
  "data": {
    "attributes": {
      "created_at": "2024-01-01T00:00:00+00:00",
      "created_by": "example-handle",
      "last_revision": {
        "category": "SECURITY",
        "checksum": "abc123def456",
        "content": "Content",
        "created_at": "2024-01-01T00:00:00+00:00",
        "created_by": "example-handle",
        "cwe": "79",
        "description": "Ruleset description",
        "directories": [
          []
        ],
        "execution_mode": "auto",
        "globs": [
          "**/*.py"
        ],
        "is_default": false,
        "is_published": false,
        "is_testing": false,
        "severity": "ERROR",
        "short_description": "Ruleset short description",
        "version_id": 1
      },
      "name": "my-ai-rule"
    },
    "id": "my-ai-rule",
    "type": "ai_rule"
  }
}
```
{% /tab %}
{% /tabs %}
{% /tab %}

{% tab label="400" %}
Bad Request

{% tabs %}
{% tab label="Model" %}
API error response.

| Parent field | Field               | Type     | Description                                                                     |
| ------------ | ------------------- | -------- | ------------------------------------------------------------------------------- |
|              | errors [*required*] | [object] | A list of errors.                                                               |
| errors       | detail              | string   | A human-readable explanation specific to this occurrence of the error.          |
| errors       | meta                | object   | Non-standard meta-information about the error                                   |
| errors       | source              | object   | References to the source of the error.                                          |
| source       | header              | string   | A string indicating the name of a single request header which caused the error. |
| source       | parameter           | string   | A string indicating which URI query parameter caused the error.                 |
| source       | pointer             | string   | A JSON pointer to the value in the request document that caused the error.      |
| errors       | status              | string   | Status code of the response.                                                    |
| errors       | title               | string   | Short human-readable summary of the error.                                      |
{% /tab %}

{% tab label="Example" %}
```json
{
  "errors": [
    {
      "detail": "Missing required attribute in body",
      "meta": {},
      "source": {
        "header": "Authorization",
        "parameter": "limit",
        "pointer": "/data/attributes/title"
      },
      "status": "400",
      "title": "Bad Request"
    }
  ]
}
```
{% /tab %}
{% /tabs %}
{% /tab %}

{% tab label="401" %}
Unauthorized

{% tabs %}
{% tab label="Model" %}
API error response.

| Parent field | Field               | Type     | Description                                                                     |
| ------------ | ------------------- | -------- | ------------------------------------------------------------------------------- |
|              | errors [*required*] | [object] | A list of errors.                                                               |
| errors       | detail              | string   | A human-readable explanation specific to this occurrence of the error.          |
| errors       | meta                | object   | Non-standard meta-information about the error                                   |
| errors       | source              | object   | References to the source of the error.                                          |
| source       | header              | string   | A string indicating the name of a single request header which caused the error. |
| source       | parameter           | string   | A string indicating which URI query parameter caused the error.                 |
| source       | pointer             | string   | A JSON pointer to the value in the request document that caused the error.      |
| errors       | status              | string   | Status code of the response.                                                    |
| errors       | title               | string   | Short human-readable summary of the error.                                      |
{% /tab %}

{% tab label="Example" %}
```json
{
  "errors": [
    {
      "detail": "Missing required attribute in body",
      "meta": {},
      "source": {
        "header": "Authorization",
        "parameter": "limit",
        "pointer": "/data/attributes/title"
      },
      "status": "400",
      "title": "Bad Request"
    }
  ]
}
```
{% /tab %}
{% /tabs %}
{% /tab %}

{% tab label="409" %}
Conflict - rule already exists

{% tabs %}
{% tab label="Model" %}
API error response.

| Parent field | Field               | Type     | Description                                                                     |
| ------------ | ------------------- | -------- | ------------------------------------------------------------------------------- |
|              | errors [*required*] | [object] | A list of errors.                                                               |
| errors       | detail              | string   | A human-readable explanation specific to this occurrence of the error.          |
| errors       | meta                | object   | Non-standard meta-information about the error                                   |
| errors       | source              | object   | References to the source of the error.                                          |
| source       | header              | string   | A string indicating the name of a single request header which caused the error. |
| source       | parameter           | string   | A string indicating which URI query parameter caused the error.                 |
| source       | pointer             | string   | A JSON pointer to the value in the request document that caused the error.      |
| errors       | status              | string   | Status code of the response.                                                    |
| errors       | title               | string   | Short human-readable summary of the error.                                      |
{% /tab %}

{% tab label="Example" %}
```json
{
  "errors": [
    {
      "detail": "Missing required attribute in body",
      "meta": {},
      "source": {
        "header": "Authorization",
        "parameter": "limit",
        "pointer": "/data/attributes/title"
      },
      "status": "400",
      "title": "Bad Request"
    }
  ]
}
```
{% /tab %}
{% /tabs %}
{% /tab %}

{% tab label="412" %}
Precondition Failed - validation error or ruleset not found

{% tabs %}
{% tab label="Model" %}
API error response.

| Parent field | Field               | Type     | Description                                                                     |
| ------------ | ------------------- | -------- | ------------------------------------------------------------------------------- |
|              | errors [*required*] | [object] | A list of errors.                                                               |
| errors       | detail              | string   | A human-readable explanation specific to this occurrence of the error.          |
| errors       | meta                | object   | Non-standard meta-information about the error                                   |
| errors       | source              | object   | References to the source of the error.                                          |
| source       | header              | string   | A string indicating the name of a single request header which caused the error. |
| source       | parameter           | string   | A string indicating which URI query parameter caused the error.                 |
| source       | pointer             | string   | A JSON pointer to the value in the request document that caused the error.      |
| errors       | status              | string   | Status code of the response.                                                    |
| errors       | title               | string   | Short human-readable summary of the error.                                      |
{% /tab %}

{% tab label="Example" %}
```json
{
  "errors": [
    {
      "detail": "Missing required attribute in body",
      "meta": {},
      "source": {
        "header": "Authorization",
        "parameter": "limit",
        "pointer": "/data/attributes/title"
      },
      "status": "400",
      "title": "Bad Request"
    }
  ]
}
```
{% /tab %}
{% /tabs %}
{% /tab %}

{% tab label="429" %}
Too many requests

{% tabs %}
{% tab label="Model" %}
API error response.

| Field               | Type     | Description       |
| ------------------- | -------- | ----------------- |
| errors [*required*] | [string] | A list of errors. |
{% /tab %}

{% tab label="Example" %}
```json
{
  "errors": [
    "Bad Request"
  ]
}
```
{% /tab %}
{% /tabs %}
{% /tab %}

{% tab label="500" %}
Internal Server Error

{% tabs %}
{% tab label="Model" %}
API error response.

| Parent field | Field               | Type     | Description                                                                     |
| ------------ | ------------------- | -------- | ------------------------------------------------------------------------------- |
|              | errors [*required*] | [object] | A list of errors.                                                               |
| errors       | detail              | string   | A human-readable explanation specific to this occurrence of the error.          |
| errors       | meta                | object   | Non-standard meta-information about the error                                   |
| errors       | source              | object   | References to the source of the error.                                          |
| source       | header              | string   | A string indicating the name of a single request header which caused the error. |
| source       | parameter           | string   | A string indicating which URI query parameter caused the error.                 |
| source       | pointer             | string   | A JSON pointer to the value in the request document that caused the error.      |
| errors       | status              | string   | Status code of the response.                                                    |
| errors       | title               | string   | Short human-readable summary of the error.                                      |
{% /tab %}

{% tab label="Example" %}
```json
{
  "errors": [
    {
      "detail": "Missing required attribute in body",
      "meta": {},
      "source": {
        "header": "Authorization",
        "parameter": "limit",
        "pointer": "/data/attributes/title"
      },
      "status": "400",
      "title": "Bad Request"
    }
  ]
}
```
{% /tab %}
{% /tabs %}
{% /tab %}
{% /tabs %}

### Code Example

{% tabs %}
{% tab label="Curl" %}
```bash
# Path parameters
export ruleset_name="my-ai-ruleset"

# Set your Datadog site and credentials
export DD_SITE="datadoghq.com" # Or us3.datadoghq.com, us5.datadoghq.com, datadoghq.eu, ap1.datadoghq.com, ap2.datadoghq.com, uk1.datadoghq.com, ddog-gov.com, us2.ddog-gov.com
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"

curl -X POST "https://api.${DD_SITE}/api/v2/static-analysis/ai/rulesets/${ruleset_name}/rules" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
  "data": {
    "attributes": {
      "name": "my-ai-rule"
    },
    "type": "ai_rule"
  }
}
EOF
```
{% /tab %}

{% tab label="Go" %}
```go
// Create an AI custom rule returns "Successfully created" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV2"
)

func main() {
	body := datadogV2.AiCustomRuleRequest{
		Data: &datadogV2.AiCustomRuleRequestData{
			Attributes: &datadogV2.AiCustomRuleRequestAttributes{
				Name: datadog.PtrString("my-ai-rule"),
			},
			Id:   datadog.PtrString("my-ai-rule"),
			Type: datadogV2.AICUSTOMRULEDATATYPE_AI_RULE.Ptr(),
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
	configuration := datadog.NewConfiguration()
	configuration.SetUnstableOperationEnabled("v2.CreateAiCustomRule", true)
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewStaticAnalysisApi(apiClient)
	resp, r, err := api.CreateAiCustomRule(ctx, "my-ai-ruleset", body)

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `StaticAnalysisApi.CreateAiCustomRule`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `StaticAnalysisApi.CreateAiCustomRule`:\n%s\n", responseContent)
}
```

#### Instructions

First [install the library and its dependencies](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=go) and then save the example to `main.go` and run following commands:

```bash
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"
```
{% /tab %}

{% tab label="Java" %}
```java
// Create an AI custom rule returns "Successfully created" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.StaticAnalysisApi;
import com.datadog.api.client.v2.model.AiCustomRuleDataType;
import com.datadog.api.client.v2.model.AiCustomRuleRequest;
import com.datadog.api.client.v2.model.AiCustomRuleRequestAttributes;
import com.datadog.api.client.v2.model.AiCustomRuleRequestData;
import com.datadog.api.client.v2.model.AiCustomRuleResponse;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
    defaultClient.setUnstableOperationEnabled("v2.createAiCustomRule", true);
    StaticAnalysisApi apiInstance = new StaticAnalysisApi(defaultClient);

    AiCustomRuleRequest body =
        new AiCustomRuleRequest()
            .data(
                new AiCustomRuleRequestData()
                    .attributes(new AiCustomRuleRequestAttributes().name("my-ai-rule"))
                    .id("my-ai-rule")
                    .type(AiCustomRuleDataType.AI_RULE));

    try {
      AiCustomRuleResponse result = apiInstance.createAiCustomRule("my-ai-ruleset", body);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling StaticAnalysisApi#createAiCustomRule");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}
```

#### Instructions

First [install the library and its dependencies](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=java) and then save the example to `Example.java` and run following commands:

```bash
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"
```
{% /tab %}

{% tab label="Python" %}
```python
"""
Create an AI custom rule returns "Successfully created" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.static_analysis_api import StaticAnalysisApi
from datadog_api_client.v2.model.ai_custom_rule_data_type import AiCustomRuleDataType
from datadog_api_client.v2.model.ai_custom_rule_request import AiCustomRuleRequest
from datadog_api_client.v2.model.ai_custom_rule_request_attributes import AiCustomRuleRequestAttributes
from datadog_api_client.v2.model.ai_custom_rule_request_data import AiCustomRuleRequestData

body = AiCustomRuleRequest(
    data=AiCustomRuleRequestData(
        attributes=AiCustomRuleRequestAttributes(
            name="my-ai-rule",
        ),
        id="my-ai-rule",
        type=AiCustomRuleDataType.AI_RULE,
    ),
)

configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
configuration.unstable_operations["create_ai_custom_rule"] = True
with ApiClient(configuration) as api_client:
    api_instance = StaticAnalysisApi(api_client)
    response = api_instance.create_ai_custom_rule(ruleset_name="my-ai-ruleset", body=body)

    print(response)
```

#### Instructions

First [install the library and its dependencies](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=python) and then save the example to `example.py` and run following commands:

```bash
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"
```
{% /tab %}

{% tab label="Ruby" %}
```ruby
# Create an AI custom rule returns "Successfully created" response

require "datadog_api_client"
DatadogAPIClient.configure do |config|
  config.access_token = ENV["DD_BEARER_TOKEN"]
  config.unstable_operations["v2.create_ai_custom_rule".to_sym] = true
end
api_instance = DatadogAPIClient::V2::StaticAnalysisAPI.new

body = DatadogAPIClient::V2::AiCustomRuleRequest.new({
  data: DatadogAPIClient::V2::AiCustomRuleRequestData.new({
    attributes: DatadogAPIClient::V2::AiCustomRuleRequestAttributes.new({
      name: "my-ai-rule",
    }),
    id: "my-ai-rule",
    type: DatadogAPIClient::V2::AiCustomRuleDataType::AI_RULE,
  }),
})
p api_instance.create_ai_custom_rule("my-ai-ruleset", body)
```

#### Instructions

First [install the library and its dependencies](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=ruby) and then save the example to `example.rb` and run following commands:

```bash
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"
```
{% /tab %}

{% tab label="Rust" %}
```rust
// Create an AI custom rule returns "Successfully created" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_static_analysis::StaticAnalysisAPI;
use datadog_api_client::datadogV2::model::AiCustomRuleDataType;
use datadog_api_client::datadogV2::model::AiCustomRuleRequest;
use datadog_api_client::datadogV2::model::AiCustomRuleRequestAttributes;
use datadog_api_client::datadogV2::model::AiCustomRuleRequestData;

#[tokio::main]
async fn main() {
    let body = AiCustomRuleRequest::new().data(
        AiCustomRuleRequestData::new()
            .attributes(AiCustomRuleRequestAttributes::new().name("my-ai-rule".to_string()))
            .id("my-ai-rule".to_string())
            .type_(AiCustomRuleDataType::AI_RULE),
    );
    let mut configuration = datadog::Configuration::new();
    configuration.set_unstable_operation_enabled("v2.create_ai_custom_rule", true);
    let api = StaticAnalysisAPI::with_config(configuration);
    let resp = api
        .create_ai_custom_rule("my-ai-ruleset".to_string(), body)
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}
```

#### Instructions

First [install the library and its dependencies](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=rust) and then save the example to `src/main.rs` and run following commands:

```bash
DD_SITE="datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo run
```
{% /tab %}

{% tab label="TypeScript" %}
```typescript
/**
 * Create an AI custom rule returns "Successfully created" response
 */

import { client, v2 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration({
  authMethods: {
    AuthZ: {
      accessToken: process.env.DD_BEARER_TOKEN as string,
    },
  },
});
configuration.unstableOperations["v2.createAiCustomRule"] = true;
const apiInstance = new v2.StaticAnalysisApi(configuration);

const params: v2.StaticAnalysisApiCreateAiCustomRuleRequest = {
  body: {
    data: {
      attributes: {
        name: "my-ai-rule",
      },
      id: "my-ai-rule",
      type: "ai_rule",
    },
  },
  rulesetName: "my-ai-ruleset",
};

apiInstance
  .createAiCustomRule(params)
  .then((data: v2.AiCustomRuleResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));
```

#### Instructions

First [install the library and its dependencies](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=typescript) and then save the example to `example.ts` and run following commands:

```bash
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"
```
{% /tab %}
{% /tabs %}