Search Agent Observability experimentation

// Search Agent Observability experimentation returns "Partial Content — more results are available. Use `meta.after` as
// the next `page.cursor`." 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.LLMObsExperimentationSearchRequest{
		Data: datadogV2.LLMObsExperimentationSearchDataRequest{
			Attributes: datadogV2.LLMObsExperimentationSearchDataAttributesRequest{
				ContentPreview: &datadogV2.LLMObsExperimentationContentPreview{
					Limit: datadog.PtrInt64(500),
				},
				Filter: datadogV2.LLMObsExperimentationFilter{
					IncludeDeleted: datadog.PtrBool(false),
					IsDeleted:      datadog.PtrBool(false),
					Query:          datadog.PtrString("my experiment"),
					Scope: []string{
						"experiments",
					},
					Version: *datadog.NewNullableInt64(nil),
				},
				Include: &datadogV2.LLMObsExperimentationInclude{
					UserData: datadog.PtrBool(false),
				},
				Page: &datadogV2.LLMObsExperimentationCursorPage{
					Limit: datadog.PtrInt64(100),
				},
			},
			Type: datadogV2.LLMOBSEXPERIMENTATIONTYPE_EXPERIMENTATION,
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
	configuration := datadog.NewConfiguration()
	configuration.SetUnstableOperationEnabled("v2.SearchLLMObsExperimentation", true)
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewAgentObservabilityApi(apiClient)
	resp, r, err := api.SearchLLMObsExperimentation(ctx, body)

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

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

// Search Agent Observability experimentation returns "Partial Content — more results are available.
// Use `meta.after` as
// the next `page.cursor`." 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.LLMObsExperimentationContentPreview;
import com.datadog.api.client.v2.model.LLMObsExperimentationCursorPage;
import com.datadog.api.client.v2.model.LLMObsExperimentationFilter;
import com.datadog.api.client.v2.model.LLMObsExperimentationInclude;
import com.datadog.api.client.v2.model.LLMObsExperimentationSearchDataAttributesRequest;
import com.datadog.api.client.v2.model.LLMObsExperimentationSearchDataRequest;
import com.datadog.api.client.v2.model.LLMObsExperimentationSearchRequest;
import com.datadog.api.client.v2.model.LLMObsExperimentationSearchResponse;
import com.datadog.api.client.v2.model.LLMObsExperimentationType;
import java.util.Collections;

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

    LLMObsExperimentationSearchRequest body =
        new LLMObsExperimentationSearchRequest()
            .data(
                new LLMObsExperimentationSearchDataRequest()
                    .attributes(
                        new LLMObsExperimentationSearchDataAttributesRequest()
                            .contentPreview(new LLMObsExperimentationContentPreview().limit(500L))
                            .filter(
                                new LLMObsExperimentationFilter()
                                    .includeDeleted(false)
                                    .isDeleted(false)
                                    .query("my experiment")
                                    .scope(Collections.singletonList("experiments"))
                                    .version(null))
                            .include(new LLMObsExperimentationInclude().userData(false))
                            .page(new LLMObsExperimentationCursorPage().limit(100L)))
                    .type(LLMObsExperimentationType.EXPERIMENTATION));

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

"""
Search Agent Observability experimentation returns "Partial Content — more results are available. Use `meta.after` as
the next `page.cursor`." 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_experimentation_content_preview import LLMObsExperimentationContentPreview
from datadog_api_client.v2.model.llm_obs_experimentation_cursor_page import LLMObsExperimentationCursorPage
from datadog_api_client.v2.model.llm_obs_experimentation_filter import LLMObsExperimentationFilter
from datadog_api_client.v2.model.llm_obs_experimentation_include import LLMObsExperimentationInclude
from datadog_api_client.v2.model.llm_obs_experimentation_search_data_attributes_request import (
    LLMObsExperimentationSearchDataAttributesRequest,
)
from datadog_api_client.v2.model.llm_obs_experimentation_search_data_request import (
    LLMObsExperimentationSearchDataRequest,
)
from datadog_api_client.v2.model.llm_obs_experimentation_search_request import LLMObsExperimentationSearchRequest
from datadog_api_client.v2.model.llm_obs_experimentation_type import LLMObsExperimentationType

body = LLMObsExperimentationSearchRequest(
    data=LLMObsExperimentationSearchDataRequest(
        attributes=LLMObsExperimentationSearchDataAttributesRequest(
            content_preview=LLMObsExperimentationContentPreview(
                limit=500,
            ),
            filter=LLMObsExperimentationFilter(
                include_deleted=False,
                is_deleted=False,
                query="my experiment",
                scope=[
                    "experiments",
                ],
                version=None,
            ),
            include=LLMObsExperimentationInclude(
                user_data=False,
            ),
            page=LLMObsExperimentationCursorPage(
                limit=100,
            ),
        ),
        type=LLMObsExperimentationType.EXPERIMENTATION,
    ),
)

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

    print(response)

# Search Agent Observability experimentation returns "Partial Content — more results are available. Use `meta.after` as
# the next `page.cursor`." response

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

body = DatadogAPIClient::V2::LLMObsExperimentationSearchRequest.new({
  data: DatadogAPIClient::V2::LLMObsExperimentationSearchDataRequest.new({
    attributes: DatadogAPIClient::V2::LLMObsExperimentationSearchDataAttributesRequest.new({
      content_preview: DatadogAPIClient::V2::LLMObsExperimentationContentPreview.new({
        limit: 500,
      }),
      filter: DatadogAPIClient::V2::LLMObsExperimentationFilter.new({
        include_deleted: false,
        is_deleted: false,
        query: "my experiment",
        scope: [
          "experiments",
        ],
        version: nil,
      }),
      include: DatadogAPIClient::V2::LLMObsExperimentationInclude.new({
        user_data: false,
      }),
      page: DatadogAPIClient::V2::LLMObsExperimentationCursorPage.new({
        limit: 100,
      }),
    }),
    type: DatadogAPIClient::V2::LLMObsExperimentationType::EXPERIMENTATION,
  }),
})
p api_instance.search_llm_obs_experimentation(body)

// Search Agent Observability experimentation returns "Partial Content — more
// results are available. Use `meta.after` as the next `page.cursor`." response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_agent_observability::AgentObservabilityAPI;
use datadog_api_client::datadogV2::model::LLMObsExperimentationContentPreview;
use datadog_api_client::datadogV2::model::LLMObsExperimentationCursorPage;
use datadog_api_client::datadogV2::model::LLMObsExperimentationFilter;
use datadog_api_client::datadogV2::model::LLMObsExperimentationInclude;
use datadog_api_client::datadogV2::model::LLMObsExperimentationSearchDataAttributesRequest;
use datadog_api_client::datadogV2::model::LLMObsExperimentationSearchDataRequest;
use datadog_api_client::datadogV2::model::LLMObsExperimentationSearchRequest;
use datadog_api_client::datadogV2::model::LLMObsExperimentationType;

#[tokio::main]
async fn main() {
    let body =
        LLMObsExperimentationSearchRequest::new(LLMObsExperimentationSearchDataRequest::new(
            LLMObsExperimentationSearchDataAttributesRequest::new(
                LLMObsExperimentationFilter::new(vec!["experiments".to_string()])
                    .include_deleted(false)
                    .is_deleted(false)
                    .query("my experiment".to_string())
                    .version(None),
            )
            .content_preview(LLMObsExperimentationContentPreview::new().limit(500))
            .include(LLMObsExperimentationInclude::new().user_data(false))
            .page(LLMObsExperimentationCursorPage::new().limit(100)),
            LLMObsExperimentationType::EXPERIMENTATION,
        ));
    let mut configuration = datadog::Configuration::new();
    configuration.set_unstable_operation_enabled("v2.search_llm_obs_experimentation", true);
    let api = AgentObservabilityAPI::with_config(configuration);
    let resp = api.search_llm_obs_experimentation(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

/**
 * Search Agent Observability experimentation returns "Partial Content — more results are available. Use `meta.after` as
 * the next `page.cursor`." 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.searchLLMObsExperimentation"] = true;
const apiInstance = new v2.AgentObservabilityApi(configuration);

const params: v2.AgentObservabilityApiSearchLLMObsExperimentationRequest = {
  body: {
    data: {
      attributes: {
        contentPreview: {
          limit: 500,
        },
        filter: {
          includeDeleted: false,
          isDeleted: false,
          query: "my experiment",
          scope: ["experiments"],
          version: undefined,
        },
        include: {
          userData: false,
        },
        page: {
          limit: 100,
        },
      },
      type: "experimentation",
    },
  },
};

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