List Model Lab run facet values
WARNINGNote: This endpoint is in preview and is subject to change.
If you have any feedback, contact Datadog support.
GET
https://api.datadoghq.com/api/v2/model-lab-api/facet-valueshttps://api.us3.datadoghq.com/api/v2/model-lab-api/facet-valueshttps://api.us5.datadoghq.com/api/v2/model-lab-api/facet-valueshttps://api.datadoghq.eu/api/v2/model-lab-api/facet-valueshttps://api.ap1.datadoghq.com/api/v2/model-lab-api/facet-valueshttps://api.ap2.datadoghq.com/api/v2/model-lab-api/facet-valueshttps://api.uk1.datadoghq.com/api/v2/model-lab-api/facet-valueshttps://api.ddog-gov.com/api/v2/model-lab-api/facet-valueshttps://api.us2.ddog-gov.com/api/v2/model-lab-api/facet-valuesOverview
List available facet values for a specific run facet key.
Arguments
Query Strings
Name
Type
Description
filter[project_id] [required]integer
Filter by project ID.
facet_type [required]enum
Facet type. Valid values: parameter, attribute, tag, metric.
Allowed enum values:
parameter, attribute, tag, metricfacet_name [required]string
Facet name.
Response
OK
Response containing available values for a facet key.
Field
Type
Description
data [required]object
A facet values JSON:API resource object.
attributes [required]object
Available values for a specific facet key.
facet_name [required]string
The name of the facet.
facet_type [required]string
The type of the facet.
metric_stat_ranges[object]
The ranges for each metric statistic.
max [required]double
The maximum value of the statistic.
min [required]double
The minimum value of the statistic.
stat [required]string
The metric statistic name.
numeric_rangeobject
The numeric range of values for a facet.
max [required]double
The maximum value.
min [required]double
The minimum value.
values [required][string]
The list of available string values for this facet.
id [required]string
The unique identifier of the facet values resource.
type [required]enum
The JSON:API type for a facet values resource.
Allowed enum values:
facet_values{
"data": {
"attributes": {
"facet_name": "model",
"facet_type": "tag",
"metric_stat_ranges": [
{
"max": 1,
"min": 0,
"stat": "mean"
}
],
"numeric_range": {
"max": 1,
"min": 0
},
"values": [
"gpt4"
]
},
"id": "1",
"type": "facet_values"
}
}Bad Request
API error response.
Field
Type
Description
errors [required][object]
A list of errors.
detailstring
A human-readable explanation specific to this occurrence of the error.
metaobject
Non-standard meta-information about the error
sourceobject
References to the source of the error.
headerstring
A string indicating the name of a single request header which caused the error.
parameterstring
A string indicating which URI query parameter caused the error.
pointerstring
A JSON pointer to the value in the request document that caused the error.
statusstring
Status code of the response.
titlestring
Short human-readable summary of the error.
{
"errors": [
{
"detail": "Missing required attribute in body",
"meta": {},
"source": {
"header": "Authorization",
"parameter": "limit",
"pointer": "/data/attributes/title"
},
"status": "400",
"title": "Bad Request"
}
]
}Not Found
API error response.
Field
Type
Description
errors [required][object]
A list of errors.
detailstring
A human-readable explanation specific to this occurrence of the error.
metaobject
Non-standard meta-information about the error
sourceobject
References to the source of the error.
headerstring
A string indicating the name of a single request header which caused the error.
parameterstring
A string indicating which URI query parameter caused the error.
pointerstring
A JSON pointer to the value in the request document that caused the error.
statusstring
Status code of the response.
titlestring
Short human-readable summary of the error.
{
"errors": [
{
"detail": "Missing required attribute in body",
"meta": {},
"source": {
"header": "Authorization",
"parameter": "limit",
"pointer": "/data/attributes/title"
},
"status": "400",
"title": "Bad Request"
}
]
}Too many requests
API error response.
Field
Type
Description
errors [required][string]
A list of errors.
{
"errors": [
"Bad Request"
]
}Internal Server Error
API error response.
Field
Type
Description
errors [required][object]
A list of errors.
detailstring
A human-readable explanation specific to this occurrence of the error.
metaobject
Non-standard meta-information about the error
sourceobject
References to the source of the error.
headerstring
A string indicating the name of a single request header which caused the error.
parameterstring
A string indicating which URI query parameter caused the error.
pointerstring
A JSON pointer to the value in the request document that caused the error.
statusstring
Status code of the response.
titlestring
Short human-readable summary of the error.
{
"errors": [
{
"detail": "Missing required attribute in body",
"meta": {},
"source": {
"header": "Authorization",
"parameter": "limit",
"pointer": "/data/attributes/title"
},
"status": "400",
"title": "Bad Request"
}
]
}Code Example
List Model Lab run facet values
# Required query arguments
export filter_project_id="101"
export facet_type="tag"
export facet_name="algorithm"
# Set your Datadog site and credentials
export DD_SITE="datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/model-lab-api/facet-values?filter%5Bproject_id%5D=${filter_project_id}&facet_type=${facet_type}&facet_name=${facet_name}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Required query arguments
export filter_project_id="101"
export facet_type="tag"
export facet_name="algorithm"
# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/model-lab-api/facet-values?filter%5Bproject_id%5D=${filter_project_id}&facet_type=${facet_type}&facet_name=${facet_name}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Required query arguments
export filter_project_id="101"
export facet_type="tag"
export facet_name="algorithm"
# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/model-lab-api/facet-values?filter%5Bproject_id%5D=${filter_project_id}&facet_type=${facet_type}&facet_name=${facet_name}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Required query arguments
export filter_project_id="101"
export facet_type="tag"
export facet_name="algorithm"
# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/model-lab-api/facet-values?filter%5Bproject_id%5D=${filter_project_id}&facet_type=${facet_type}&facet_name=${facet_name}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Required query arguments
export filter_project_id="101"
export facet_type="tag"
export facet_name="algorithm"
# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/model-lab-api/facet-values?filter%5Bproject_id%5D=${filter_project_id}&facet_type=${facet_type}&facet_name=${facet_name}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Required query arguments
export filter_project_id="101"
export facet_type="tag"
export facet_name="algorithm"
# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/model-lab-api/facet-values?filter%5Bproject_id%5D=${filter_project_id}&facet_type=${facet_type}&facet_name=${facet_name}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Required query arguments
export filter_project_id="101"
export facet_type="tag"
export facet_name="algorithm"
# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/model-lab-api/facet-values?filter%5Bproject_id%5D=${filter_project_id}&facet_type=${facet_type}&facet_name=${facet_name}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Required query arguments
export filter_project_id="101"
export facet_type="tag"
export facet_name="algorithm"
# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/model-lab-api/facet-values?filter%5Bproject_id%5D=${filter_project_id}&facet_type=${facet_type}&facet_name=${facet_name}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Required query arguments
export filter_project_id="101"
export facet_type="tag"
export facet_name="algorithm"
# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/model-lab-api/facet-values?filter%5Bproject_id%5D=${filter_project_id}&facet_type=${facet_type}&facet_name=${facet_name}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"List Model Lab run facet values
// List Model Lab run facet values returns "OK" 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() {
ctx := datadog.NewDefaultContext(context.Background())
ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
configuration := datadog.NewConfiguration()
configuration.SetUnstableOperationEnabled("v2.ListModelLabRunFacetValues", true)
apiClient := datadog.NewAPIClient(configuration)
api := datadogV2.NewModelLabAPIApi(apiClient)
resp, r, err := api.ListModelLabRunFacetValues(ctx, 2387, datadogV2.MODELLABFACETTYPE_TAG, "model")
if err != nil {
fmt.Fprintf(os.Stderr, "Error when calling `ModelLabAPIApi.ListModelLabRunFacetValues`: %v\n", err)
fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
}
responseContent, _ := json.MarshalIndent(resp, "", " ")
fmt.Fprintf(os.Stdout, "Response from `ModelLabAPIApi.ListModelLabRunFacetValues`:\n%s\n", responseContent)
}
Instructions
First install the library and its dependencies and then save the example to main.go and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"List Model Lab run facet values
// List Model Lab run facet values returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.ModelLabApiApi;
import com.datadog.api.client.v2.model.ModelLabFacetType;
import com.datadog.api.client.v2.model.ModelLabFacetValuesResponse;
public class Example {
public static void main(String[] args) {
ApiClient defaultClient = ApiClient.getDefaultApiClient();
defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
defaultClient.setUnstableOperationEnabled("v2.listModelLabRunFacetValues", true);
ModelLabApiApi apiInstance = new ModelLabApiApi(defaultClient);
try {
ModelLabFacetValuesResponse result =
apiInstance.listModelLabRunFacetValues(2387L, ModelLabFacetType.TAG, "model");
System.out.println(result);
} catch (ApiException e) {
System.err.println("Exception when calling ModelLabApiApi#listModelLabRunFacetValues");
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 and then save the example to Example.java and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"List Model Lab run facet values
"""
List Model Lab run facet values returns "OK" response
"""
from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.model_lab_api_api import ModelLabAPIApi
from datadog_api_client.v2.model.model_lab_facet_type import ModelLabFacetType
configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
configuration.unstable_operations["list_model_lab_run_facet_values"] = True
with ApiClient(configuration) as api_client:
api_instance = ModelLabAPIApi(api_client)
response = api_instance.list_model_lab_run_facet_values(
filter_project_id=2387,
facet_type=ModelLabFacetType.TAG,
facet_name="model",
)
print(response)
Instructions
First install the library and its dependencies and then save the example to example.py and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"List Model Lab run facet values
# List Model Lab run facet values returns "OK" response
require "datadog_api_client"
DatadogAPIClient.configure do |config|
config.access_token = ENV["DD_BEARER_TOKEN"]
config.unstable_operations["v2.list_model_lab_run_facet_values".to_sym] = true
end
api_instance = DatadogAPIClient::V2::ModelLabAPIAPI.new
p api_instance.list_model_lab_run_facet_values(2387, ModelLabFacetType::TAG, "model")
Instructions
First install the library and its dependencies and then save the example to example.rb and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"List Model Lab run facet values
// List Model Lab run facet values returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_model_lab_api::ModelLabAPIAPI;
use datadog_api_client::datadogV2::model::ModelLabFacetType;
#[tokio::main]
async fn main() {
let mut configuration = datadog::Configuration::new();
configuration.set_unstable_operation_enabled("v2.list_model_lab_run_facet_values", true);
let api = ModelLabAPIAPI::with_config(configuration);
let resp = api
.list_model_lab_run_facet_values(2387, ModelLabFacetType::TAG, "model".to_string())
.await;
if let Ok(value) = resp {
println!("{:#?}", value);
} else {
println!("{:#?}", resp.unwrap_err());
}
}
Instructions
First install the library and its dependencies and then save the example to src/main.rs and run following commands:
DD_SITE="datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="us3.datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="us5.datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="datadoghq.eu" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="ap1.datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="ap2.datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="uk1.datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="ddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="us2.ddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runList Model Lab run facet values
/**
* List Model Lab run facet values returns "OK" 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.listModelLabRunFacetValues"] = true;
const apiInstance = new v2.ModelLabAPIApi(configuration);
const params: v2.ModelLabAPIApiListModelLabRunFacetValuesRequest = {
filterProjectId: 2387,
facetType: "tag",
facetName: "model",
};
apiInstance
.listModelLabRunFacetValues(params)
.then((data: v2.ModelLabFacetValuesResponse) => {
console.log(
"API called successfully. Returned data: " + JSON.stringify(data)
);
})
.catch((error: any) => console.error(error));
Instructions
First install the library and its dependencies and then save the example to example.ts and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"