Agent Observability の実験を作成します。

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

from os import environ
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_experiment_data_attributes_request import LLMObsExperimentDataAttributesRequest
from datadog_api_client.v2.model.llm_obs_experiment_data_request import LLMObsExperimentDataRequest
from datadog_api_client.v2.model.llm_obs_experiment_request import LLMObsExperimentRequest
from datadog_api_client.v2.model.llm_obs_experiment_type import LLMObsExperimentType

body = LLMObsExperimentRequest(
    data=LLMObsExperimentDataRequest(
        attributes=LLMObsExperimentDataAttributesRequest(
            dataset_id="9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d",
            name="My Experiment v1",
            parent_experiment_id="3fd6b5e0-8910-4b1c-a7d0-5b84de329012",
            project_id="a33671aa-24fd-4dcd-9b33-a8ec7dde7751",
        ),
        type=LLMObsExperimentType.EXPERIMENTS,
    ),
)

configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
configuration.unstable_operations["create_llm_obs_experiment"] = True
with ApiClient(configuration) as api_client:
    api_instance = AgentObservabilityApi(api_client)
    response = api_instance.create_llm_obs_experiment(body=body)

    print(response)

# Create an Agent Observability experiment returns "OK" response

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

body = DatadogAPIClient::V2::LLMObsExperimentRequest.new({
  data: DatadogAPIClient::V2::LLMObsExperimentDataRequest.new({
    attributes: DatadogAPIClient::V2::LLMObsExperimentDataAttributesRequest.new({
      dataset_id: "9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d",
      name: "My Experiment v1",
      parent_experiment_id: "3fd6b5e0-8910-4b1c-a7d0-5b84de329012",
      project_id: "a33671aa-24fd-4dcd-9b33-a8ec7dde7751",
    }),
    type: DatadogAPIClient::V2::LLMObsExperimentType::EXPERIMENTS,
  }),
})
p api_instance.create_llm_obs_experiment(body)

// Create an Agent Observability experiment 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.LLMObsExperimentRequest{
		Data: datadogV2.LLMObsExperimentDataRequest{
			Attributes: datadogV2.LLMObsExperimentDataAttributesRequest{
				DatasetId:          datadog.PtrString("9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d"),
				Name:               "My Experiment v1",
				ParentExperimentId: datadog.PtrString("3fd6b5e0-8910-4b1c-a7d0-5b84de329012"),
				ProjectId:          "a33671aa-24fd-4dcd-9b33-a8ec7dde7751",
			},
			Type: datadogV2.LLMOBSEXPERIMENTTYPE_EXPERIMENTS,
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
	configuration := datadog.NewConfiguration()
	configuration.SetUnstableOperationEnabled("v2.CreateLLMObsExperiment", true)
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewAgentObservabilityApi(apiClient)
	resp, r, err := api.CreateLLMObsExperiment(ctx, body)

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

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

// Create an Agent Observability experiment 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.LLMObsExperimentDataAttributesRequest;
import com.datadog.api.client.v2.model.LLMObsExperimentDataRequest;
import com.datadog.api.client.v2.model.LLMObsExperimentRequest;
import com.datadog.api.client.v2.model.LLMObsExperimentResponse;
import com.datadog.api.client.v2.model.LLMObsExperimentType;

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

    LLMObsExperimentRequest body =
        new LLMObsExperimentRequest()
            .data(
                new LLMObsExperimentDataRequest()
                    .attributes(
                        new LLMObsExperimentDataAttributesRequest()
                            .datasetId("9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d")
                            .name("My Experiment v1")
                            .parentExperimentId("3fd6b5e0-8910-4b1c-a7d0-5b84de329012")
                            .projectId("a33671aa-24fd-4dcd-9b33-a8ec7dde7751"))
                    .type(LLMObsExperimentType.EXPERIMENTS));

    try {
      LLMObsExperimentResponse result = apiInstance.createLLMObsExperiment(body);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling AgentObservabilityApi#createLLMObsExperiment");
      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 experiment returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_agent_observability::AgentObservabilityAPI;
use datadog_api_client::datadogV2::model::LLMObsExperimentDataAttributesRequest;
use datadog_api_client::datadogV2::model::LLMObsExperimentDataRequest;
use datadog_api_client::datadogV2::model::LLMObsExperimentRequest;
use datadog_api_client::datadogV2::model::LLMObsExperimentType;

#[tokio::main]
async fn main() {
    let body = LLMObsExperimentRequest::new(LLMObsExperimentDataRequest::new(
        LLMObsExperimentDataAttributesRequest::new(
            "My Experiment v1".to_string(),
            "a33671aa-24fd-4dcd-9b33-a8ec7dde7751".to_string(),
        )
        .dataset_id("9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d".to_string())
        .parent_experiment_id("3fd6b5e0-8910-4b1c-a7d0-5b84de329012".to_string()),
        LLMObsExperimentType::EXPERIMENTS,
    ));
    let mut configuration = datadog::Configuration::new();
    configuration.set_unstable_operation_enabled("v2.CreateLLMObsExperiment", true);
    let api = AgentObservabilityAPI::with_config(configuration);
    let resp = api.create_llm_obs_experiment(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

/**
 * Create an Agent Observability experiment 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.createLLMObsExperiment"] = true;
const apiInstance = new v2.AgentObservabilityApi(configuration);

const params: v2.AgentObservabilityApiCreateLLMObsExperimentRequest = {
  body: {
    data: {
      attributes: {
        datasetId: "9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d",
        name: "My Experiment v1",
        parentExperimentId: "3fd6b5e0-8910-4b1c-a7d0-5b84de329012",
        projectId: "a33671aa-24fd-4dcd-9b33-a8ec7dde7751",
      },
      type: "experiments",
    },
  },
};

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