Agent Observability データセットを作成します。

"""
Create an Agent Observability dataset returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.agent_observability_api import AgentObservabilityApi
from datadog_api_client.v2.model.llm_obs_dataset_data_attributes_request import LLMObsDatasetDataAttributesRequest
from datadog_api_client.v2.model.llm_obs_dataset_data_request import LLMObsDatasetDataRequest
from datadog_api_client.v2.model.llm_obs_dataset_request import LLMObsDatasetRequest
from datadog_api_client.v2.model.llm_obs_dataset_type import LLMObsDatasetType

body = LLMObsDatasetRequest(
    data=LLMObsDatasetDataRequest(
        attributes=LLMObsDatasetDataAttributesRequest(
            name="My LLM Dataset",
        ),
        type=LLMObsDatasetType.DATASETS,
    ),
)

configuration = Configuration()
configuration.unstable_operations["create_llm_obs_dataset"] = True
with ApiClient(configuration) as api_client:
    api_instance = AgentObservabilityApi(api_client)
    response = api_instance.create_llm_obs_dataset(project_id="project_id", body=body)

    print(response)

# Create an Agent Observability dataset returns "OK" response

require "datadog_api_client"
DatadogAPIClient.configure do |config|
  config.unstable_operations["v2.create_llm_obs_dataset".to_sym] = true
end
api_instance = DatadogAPIClient::V2::AgentObservabilityAPI.new

body = DatadogAPIClient::V2::LLMObsDatasetRequest.new({
  data: DatadogAPIClient::V2::LLMObsDatasetDataRequest.new({
    attributes: DatadogAPIClient::V2::LLMObsDatasetDataAttributesRequest.new({
      name: "My LLM Dataset",
    }),
    type: DatadogAPIClient::V2::LLMObsDatasetType::DATASETS,
  }),
})
p api_instance.create_llm_obs_dataset("project_id", body)

// Create an Agent Observability dataset 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() {
	body := datadogV2.LLMObsDatasetRequest{
		Data: datadogV2.LLMObsDatasetDataRequest{
			Attributes: datadogV2.LLMObsDatasetDataAttributesRequest{
				Name: "My LLM Dataset",
			},
			Type: datadogV2.LLMOBSDATASETTYPE_DATASETS,
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	configuration.SetUnstableOperationEnabled("v2.CreateLLMObsDataset", true)
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewAgentObservabilityApi(apiClient)
	resp, r, err := api.CreateLLMObsDataset(ctx, "project_id", body)

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

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

// Create an Agent Observability dataset returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.AgentObservabilityApi;
import com.datadog.api.client.v2.model.LLMObsDatasetDataAttributesRequest;
import com.datadog.api.client.v2.model.LLMObsDatasetDataRequest;
import com.datadog.api.client.v2.model.LLMObsDatasetRequest;
import com.datadog.api.client.v2.model.LLMObsDatasetResponse;
import com.datadog.api.client.v2.model.LLMObsDatasetType;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    defaultClient.setUnstableOperationEnabled("v2.createLLMObsDataset", true);
    AgentObservabilityApi apiInstance = new AgentObservabilityApi(defaultClient);

    LLMObsDatasetRequest body =
        new LLMObsDatasetRequest()
            .data(
                new LLMObsDatasetDataRequest()
                    .attributes(new LLMObsDatasetDataAttributesRequest().name("My LLM Dataset"))
                    .type(LLMObsDatasetType.DATASETS));

    try {
      LLMObsDatasetResponse result =
          apiInstance.createLLMObsDataset("a33671aa-24fd-4dcd-9b33-a8ec7dde7751", body);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling AgentObservabilityApi#createLLMObsDataset");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

// Create an Agent Observability dataset returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_agent_observability::AgentObservabilityAPI;
use datadog_api_client::datadogV2::model::LLMObsDatasetDataAttributesRequest;
use datadog_api_client::datadogV2::model::LLMObsDatasetDataRequest;
use datadog_api_client::datadogV2::model::LLMObsDatasetRequest;
use datadog_api_client::datadogV2::model::LLMObsDatasetType;

#[tokio::main]
async fn main() {
    let body = LLMObsDatasetRequest::new(LLMObsDatasetDataRequest::new(
        LLMObsDatasetDataAttributesRequest::new("My LLM Dataset".to_string()),
        LLMObsDatasetType::DATASETS,
    ));
    let mut configuration = datadog::Configuration::new();
    configuration.set_unstable_operation_enabled("v2.CreateLLMObsDataset", true);
    let api = AgentObservabilityAPI::with_config(configuration);
    let resp = api
        .create_llm_obs_dataset("project_id".to_string(), body)
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

/**
 * Create an Agent Observability dataset returns "OK" response
 */

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

const configuration = client.createConfiguration();
configuration.unstableOperations["v2.createLLMObsDataset"] = true;
const apiInstance = new v2.AgentObservabilityApi(configuration);

const params: v2.AgentObservabilityApiCreateLLMObsDatasetRequest = {
  body: {
    data: {
      attributes: {
        name: "My LLM Dataset",
      },
      type: "datasets",
    },
  },
  projectId: "project_id",
};

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