Update an LLM Observability prompt

// Update an LLM Observability prompt 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() {
	// there is a valid "prompt" in the system
	PromptDataAttributesPromptID := os.Getenv("PROMPT_DATA_ATTRIBUTES_PROMPT_ID")

	body := datadogV2.LLMObsUpdatePromptRequest{
		Data: datadogV2.LLMObsUpdatePromptData{
			Attributes: datadogV2.LLMObsUpdatePromptDataAttributes{
				Title: datadog.PtrString("Customer Support Assistant"),
			},
			Type: datadogV2.LLMOBSPROMPTTYPE_PROMPT_TEMPLATES,
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	configuration.SetUnstableOperationEnabled("v2.UpdateLLMObsPrompt", true)
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewLLMObservabilityApi(apiClient)
	resp, r, err := api.UpdateLLMObsPrompt(ctx, PromptDataAttributesPromptID, body)

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

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

// Update an LLM Observability prompt returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.LlmObservabilityApi;
import com.datadog.api.client.v2.model.LLMObsPromptResponse;
import com.datadog.api.client.v2.model.LLMObsPromptType;
import com.datadog.api.client.v2.model.LLMObsUpdatePromptData;
import com.datadog.api.client.v2.model.LLMObsUpdatePromptDataAttributes;
import com.datadog.api.client.v2.model.LLMObsUpdatePromptRequest;

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

    // there is a valid "prompt" in the system
    String PROMPT_DATA_ATTRIBUTES_PROMPT_ID = System.getenv("PROMPT_DATA_ATTRIBUTES_PROMPT_ID");

    LLMObsUpdatePromptRequest body =
        new LLMObsUpdatePromptRequest()
            .data(
                new LLMObsUpdatePromptData()
                    .attributes(
                        new LLMObsUpdatePromptDataAttributes().title("Customer Support Assistant"))
                    .type(LLMObsPromptType.PROMPT_TEMPLATES));

    try {
      LLMObsPromptResponse result =
          apiInstance.updateLLMObsPrompt(PROMPT_DATA_ATTRIBUTES_PROMPT_ID, body);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling LlmObservabilityApi#updateLLMObsPrompt");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

"""
Update an LLM Observability prompt returns "OK" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.llm_observability_api import LLMObservabilityApi
from datadog_api_client.v2.model.llm_obs_prompt_type import LLMObsPromptType
from datadog_api_client.v2.model.llm_obs_update_prompt_data import LLMObsUpdatePromptData
from datadog_api_client.v2.model.llm_obs_update_prompt_data_attributes import LLMObsUpdatePromptDataAttributes
from datadog_api_client.v2.model.llm_obs_update_prompt_request import LLMObsUpdatePromptRequest

# there is a valid "prompt" in the system
PROMPT_DATA_ATTRIBUTES_PROMPT_ID = environ["PROMPT_DATA_ATTRIBUTES_PROMPT_ID"]

body = LLMObsUpdatePromptRequest(
    data=LLMObsUpdatePromptData(
        attributes=LLMObsUpdatePromptDataAttributes(
            title="Customer Support Assistant",
        ),
        type=LLMObsPromptType.PROMPT_TEMPLATES,
    ),
)

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

    print(response)

# Update an LLM Observability prompt returns "OK" response

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

# there is a valid "prompt" in the system
PROMPT_DATA_ATTRIBUTES_PROMPT_ID = ENV["PROMPT_DATA_ATTRIBUTES_PROMPT_ID"]

body = DatadogAPIClient::V2::LLMObsUpdatePromptRequest.new({
  data: DatadogAPIClient::V2::LLMObsUpdatePromptData.new({
    attributes: DatadogAPIClient::V2::LLMObsUpdatePromptDataAttributes.new({
      title: "Customer Support Assistant",
    }),
    type: DatadogAPIClient::V2::LLMObsPromptType::PROMPT_TEMPLATES,
  }),
})
p api_instance.update_llm_obs_prompt(PROMPT_DATA_ATTRIBUTES_PROMPT_ID, body)

// Update an LLM Observability prompt returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_llm_observability::LLMObservabilityAPI;
use datadog_api_client::datadogV2::model::LLMObsPromptType;
use datadog_api_client::datadogV2::model::LLMObsUpdatePromptData;
use datadog_api_client::datadogV2::model::LLMObsUpdatePromptDataAttributes;
use datadog_api_client::datadogV2::model::LLMObsUpdatePromptRequest;

#[tokio::main]
async fn main() {
    // there is a valid "prompt" in the system
    let prompt_data_attributes_prompt_id =
        std::env::var("PROMPT_DATA_ATTRIBUTES_PROMPT_ID").unwrap();
    let body = LLMObsUpdatePromptRequest::new(LLMObsUpdatePromptData::new(
        LLMObsUpdatePromptDataAttributes::new().title("Customer Support Assistant".to_string()),
        LLMObsPromptType::PROMPT_TEMPLATES,
    ));
    let mut configuration = datadog::Configuration::new();
    configuration.set_unstable_operation_enabled("v2.UpdateLLMObsPrompt", true);
    let api = LLMObservabilityAPI::with_config(configuration);
    let resp = api
        .update_llm_obs_prompt(prompt_data_attributes_prompt_id.clone(), body)
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

/**
 * Update an LLM Observability prompt returns "OK" response
 */

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

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

// there is a valid "prompt" in the system
const PROMPT_DATA_ATTRIBUTES_PROMPT_ID = process.env
  .PROMPT_DATA_ATTRIBUTES_PROMPT_ID as string;

const params: v2.LLMObservabilityApiUpdateLLMObsPromptRequest = {
  body: {
    data: {
      attributes: {
        title: "Customer Support Assistant",
      },
      type: "prompt-templates",
    },
  },
  promptId: PROMPT_DATA_ATTRIBUTES_PROMPT_ID,
};

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