Cree una nueva versión del prompt de Agent Observability

"""
Create a new Agent Observability prompt version 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_create_prompt_version_data import LLMObsCreatePromptVersionData
from datadog_api_client.v2.model.llm_obs_create_prompt_version_data_attributes import (
    LLMObsCreatePromptVersionDataAttributes,
)
from datadog_api_client.v2.model.llm_obs_create_prompt_version_request import LLMObsCreatePromptVersionRequest
from datadog_api_client.v2.model.llm_obs_prompt_version_label import LLMObsPromptVersionLabel
from datadog_api_client.v2.model.llm_obs_prompt_version_type import LLMObsPromptVersionType

body = LLMObsCreatePromptVersionRequest(
    data=LLMObsCreatePromptVersionData(
        attributes=LLMObsCreatePromptVersionDataAttributes(
            env_ids=[],
            labels=[
                LLMObsPromptVersionLabel.PRODUCTION,
            ],
            template="You are a helpful assistant for .",
        ),
        type=LLMObsPromptVersionType.PROMPT_TEMPLATE_VERSIONS,
    ),
)

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

    print(response)

# Create a new Agent Observability prompt version returns "OK" response

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

body = DatadogAPIClient::V2::LLMObsCreatePromptVersionRequest.new({
  data: DatadogAPIClient::V2::LLMObsCreatePromptVersionData.new({
    attributes: DatadogAPIClient::V2::LLMObsCreatePromptVersionDataAttributes.new({
      env_ids: [],
      labels: [
        DatadogAPIClient::V2::LLMObsPromptVersionLabel::PRODUCTION,
      ],
      template: "You are a helpful assistant for .",
    }),
    type: DatadogAPIClient::V2::LLMObsPromptVersionType::PROMPT_TEMPLATE_VERSIONS,
  }),
})
p api_instance.create_llm_obs_prompt_version("prompt_id", body)

// Create a new Agent Observability prompt version 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.LLMObsCreatePromptVersionRequest{
		Data: datadogV2.LLMObsCreatePromptVersionData{
			Attributes: datadogV2.LLMObsCreatePromptVersionDataAttributes{
				EnvIds: []string{},
				Labels: []datadogV2.LLMObsPromptVersionLabel{
					datadogV2.LLMOBSPROMPTVERSIONLABEL_PRODUCTION,
				},
				Template: datadogV2.LLMObsPromptTemplate{
					LLMObsPromptTextTemplate: datadog.PtrString("You are a helpful assistant for .")},
			},
			Type: datadogV2.LLMOBSPROMPTVERSIONTYPE_PROMPT_TEMPLATE_VERSIONS,
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	configuration.SetUnstableOperationEnabled("v2.CreateLLMObsPromptVersion", true)
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewAgentObservabilityApi(apiClient)
	resp, r, err := api.CreateLLMObsPromptVersion(ctx, "prompt_id", body)

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

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

// Create a new Agent Observability prompt version 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.LLMObsCreatePromptVersionData;
import com.datadog.api.client.v2.model.LLMObsCreatePromptVersionDataAttributes;
import com.datadog.api.client.v2.model.LLMObsCreatePromptVersionRequest;
import com.datadog.api.client.v2.model.LLMObsPromptTemplate;
import com.datadog.api.client.v2.model.LLMObsPromptVersionLabel;
import com.datadog.api.client.v2.model.LLMObsPromptVersionResponse;
import com.datadog.api.client.v2.model.LLMObsPromptVersionType;
import java.util.Collections;

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

    LLMObsCreatePromptVersionRequest body =
        new LLMObsCreatePromptVersionRequest()
            .data(
                new LLMObsCreatePromptVersionData()
                    .attributes(
                        new LLMObsCreatePromptVersionDataAttributes()
                            .labels(Collections.singletonList(LLMObsPromptVersionLabel.PRODUCTION))
                            .template(
                                new LLMObsPromptTemplate("You are a helpful assistant for .")))
                    .type(LLMObsPromptVersionType.PROMPT_TEMPLATE_VERSIONS));

    try {
      LLMObsPromptVersionResponse result =
          apiInstance.createLLMObsPromptVersion("customer-support-assistant", body);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling AgentObservabilityApi#createLLMObsPromptVersion");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

// Create a new Agent Observability prompt version returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_agent_observability::AgentObservabilityAPI;
use datadog_api_client::datadogV2::model::LLMObsCreatePromptVersionData;
use datadog_api_client::datadogV2::model::LLMObsCreatePromptVersionDataAttributes;
use datadog_api_client::datadogV2::model::LLMObsCreatePromptVersionRequest;
use datadog_api_client::datadogV2::model::LLMObsPromptTemplate;
use datadog_api_client::datadogV2::model::LLMObsPromptVersionLabel;
use datadog_api_client::datadogV2::model::LLMObsPromptVersionType;

#[tokio::main]
async fn main() {
    let body = LLMObsCreatePromptVersionRequest::new(LLMObsCreatePromptVersionData::new(
        LLMObsCreatePromptVersionDataAttributes::new(
            LLMObsPromptTemplate::LLMObsPromptTextTemplate(
                "You are a helpful assistant for .".to_string(),
            ),
        )
        .env_ids(vec![])
        .labels(vec![LLMObsPromptVersionLabel::PRODUCTION]),
        LLMObsPromptVersionType::PROMPT_TEMPLATE_VERSIONS,
    ));
    let mut configuration = datadog::Configuration::new();
    configuration.set_unstable_operation_enabled("v2.CreateLLMObsPromptVersion", true);
    let api = AgentObservabilityAPI::with_config(configuration);
    let resp = api
        .create_llm_obs_prompt_version("prompt_id".to_string(), body)
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

/**
 * Create a new Agent Observability prompt version returns "OK" response
 */

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

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

const params: v2.AgentObservabilityApiCreateLLMObsPromptVersionRequest = {
  body: {
    data: {
      attributes: {
        envIds: [],
        labels: ["production"],
        template: "You are a helpful assistant for .",
      },
      type: "prompt-template-versions",
    },
  },
  promptId: "prompt_id",
};

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