Append records to an LLM Observability dataset

"""
Append records to an LLM Observability dataset returns "OK" response
"""

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_dataset_record_item import LLMObsDatasetRecordItem
from datadog_api_client.v2.model.llm_obs_dataset_records_data_attributes_request import (
    LLMObsDatasetRecordsDataAttributesRequest,
)
from datadog_api_client.v2.model.llm_obs_dataset_records_data_request import LLMObsDatasetRecordsDataRequest
from datadog_api_client.v2.model.llm_obs_dataset_records_request import LLMObsDatasetRecordsRequest
from datadog_api_client.v2.model.llm_obs_record_type import LLMObsRecordType

body = LLMObsDatasetRecordsRequest(
    data=LLMObsDatasetRecordsDataRequest(
        attributes=LLMObsDatasetRecordsDataAttributesRequest(
            records=[
                LLMObsDatasetRecordItem(
                    expected_output=None,
                    input=None,
                ),
            ],
        ),
        type=LLMObsRecordType.RECORDS,
    ),
)

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

    print(response)

# Append records to an LLM Observability dataset returns "OK" response

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

body = DatadogAPIClient::V2::LLMObsDatasetRecordsRequest.new({
  data: DatadogAPIClient::V2::LLMObsDatasetRecordsDataRequest.new({
    attributes: DatadogAPIClient::V2::LLMObsDatasetRecordsDataAttributesRequest.new({
      records: [
        DatadogAPIClient::V2::LLMObsDatasetRecordItem.new({
          expected_output: nil,
          input: nil,
        }),
      ],
    }),
    type: DatadogAPIClient::V2::LLMObsRecordType::RECORDS,
  }),
})
p api_instance.create_llm_obs_dataset_records("project_id", "dataset_id", body)

// Append records to an LLM 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.LLMObsDatasetRecordsRequest{
		Data: datadogV2.LLMObsDatasetRecordsDataRequest{
			Attributes: datadogV2.LLMObsDatasetRecordsDataAttributesRequest{
				Records: []datadogV2.LLMObsDatasetRecordItem{
					{
						ExpectedOutput: *datadogV2.NewNullableAnyValue(nil),
						Input:          *datadogV2.NewNullableAnyValue(nil),
					},
				},
			},
			Type: datadogV2.LLMOBSRECORDTYPE_RECORDS,
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	configuration.SetUnstableOperationEnabled("v2.CreateLLMObsDatasetRecords", true)
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewLLMObservabilityApi(apiClient)
	resp, r, err := api.CreateLLMObsDatasetRecords(ctx, "project_id", "dataset_id", body)

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

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

// Append records to an LLM Observability dataset 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.LLMObsDatasetRecordItem;
import com.datadog.api.client.v2.model.LLMObsDatasetRecordsDataAttributesRequest;
import com.datadog.api.client.v2.model.LLMObsDatasetRecordsDataRequest;
import com.datadog.api.client.v2.model.LLMObsDatasetRecordsMutationResponse;
import com.datadog.api.client.v2.model.LLMObsDatasetRecordsRequest;
import com.datadog.api.client.v2.model.LLMObsRecordType;
import java.util.Collections;

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

    LLMObsDatasetRecordsRequest body =
        new LLMObsDatasetRecordsRequest()
            .data(
                new LLMObsDatasetRecordsDataRequest()
                    .attributes(
                        new LLMObsDatasetRecordsDataAttributesRequest()
                            .records(
                                Collections.singletonList(
                                    new LLMObsDatasetRecordItem()
                                        .expectedOutput(null)
                                        .input(null))))
                    .type(LLMObsRecordType.RECORDS));

    try {
      LLMObsDatasetRecordsMutationResponse result =
          apiInstance.createLLMObsDatasetRecords(
              "a33671aa-24fd-4dcd-9b33-a8ec7dde7751", "9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d", body);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling LlmObservabilityApi#createLLMObsDatasetRecords");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

// Append records to an LLM Observability dataset returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_llm_observability::LLMObservabilityAPI;
use datadog_api_client::datadogV2::model::LLMObsDatasetRecordItem;
use datadog_api_client::datadogV2::model::LLMObsDatasetRecordsDataAttributesRequest;
use datadog_api_client::datadogV2::model::LLMObsDatasetRecordsDataRequest;
use datadog_api_client::datadogV2::model::LLMObsDatasetRecordsRequest;
use datadog_api_client::datadogV2::model::LLMObsRecordType;

#[tokio::main]
async fn main() {
    let body = LLMObsDatasetRecordsRequest::new(LLMObsDatasetRecordsDataRequest::new(
        LLMObsDatasetRecordsDataAttributesRequest::new(vec![
            LLMObsDatasetRecordItem::new(None).expected_output(None)
        ]),
        LLMObsRecordType::RECORDS,
    ));
    let mut configuration = datadog::Configuration::new();
    configuration.set_unstable_operation_enabled("v2.CreateLLMObsDatasetRecords", true);
    let api = LLMObservabilityAPI::with_config(configuration);
    let resp = api
        .create_llm_obs_dataset_records("project_id".to_string(), "dataset_id".to_string(), body)
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

/**
 * Append records to an LLM Observability dataset returns "OK" response
 */

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

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

const params: v2.LLMObservabilityApiCreateLLMObsDatasetRecordsRequest = {
  body: {
    data: {
      attributes: {
        records: [
          {
            expectedOutput: undefined,
            input: null,
          },
        ],
      },
      type: "records",
    },
  },
  projectId: "project_id",
  datasetId: "dataset_id",
};

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