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ci.datadog-api-spec
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Regenerate client from commit a213e9c of spec repo
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‎.generator/schemas/v2/openapi.yaml‎

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‎examples/v2/llm-observability/CreateLLMObsIntegrationInference.java‎

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// Run an LLM inference returns "OK" response
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import com.datadog.api.client.ApiClient;
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import com.datadog.api.client.ApiException;
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import com.datadog.api.client.v2.api.LlmObservabilityApi;
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import com.datadog.api.client.v2.model.LLMObsAnthropicEffort;
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import com.datadog.api.client.v2.model.LLMObsAnthropicMetadata;
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import com.datadog.api.client.v2.model.LLMObsAnthropicThinkingConfig;
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import com.datadog.api.client.v2.model.LLMObsAnthropicThinkingType;
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import com.datadog.api.client.v2.model.LLMObsAzureOpenAIMetadata;
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import com.datadog.api.client.v2.model.LLMObsBedrockMetadata;
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import com.datadog.api.client.v2.model.LLMObsInferenceContent;
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import com.datadog.api.client.v2.model.LLMObsInferenceContentValue;
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import com.datadog.api.client.v2.model.LLMObsInferenceFunction;
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import com.datadog.api.client.v2.model.LLMObsInferenceMessage;
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import com.datadog.api.client.v2.model.LLMObsInferenceTool;
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import com.datadog.api.client.v2.model.LLMObsInferenceToolCall;
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import com.datadog.api.client.v2.model.LLMObsInferenceToolResult;
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import com.datadog.api.client.v2.model.LLMObsIntegrationInferenceRequest;
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import com.datadog.api.client.v2.model.LLMObsIntegrationInferenceResponse;
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import com.datadog.api.client.v2.model.LLMObsIntegrationName;
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import com.datadog.api.client.v2.model.LLMObsOpenAIMetadata;
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import com.datadog.api.client.v2.model.LLMObsOpenAIReasoningEffort;
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import com.datadog.api.client.v2.model.LLMObsOpenAIReasoningSummary;
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import com.datadog.api.client.v2.model.LLMObsVertexAIMetadata;
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import java.util.Collections;
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import java.util.Map;
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public class Example {
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public static void main(String[] args) {
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ApiClient defaultClient = ApiClient.getDefaultApiClient();
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defaultClient.setUnstableOperationEnabled("v2.createLLMObsIntegrationInference", true);
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LlmObservabilityApi apiInstance = new LlmObservabilityApi(defaultClient);
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LLMObsIntegrationInferenceRequest body =
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new LLMObsIntegrationInferenceRequest()
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.anthropicMetadata(
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new LLMObsAnthropicMetadata()
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.effort(LLMObsAnthropicEffort.MEDIUM)
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.thinking(
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new LLMObsAnthropicThinkingConfig()
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.budgetTokens(1024L)
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.type(LLMObsAnthropicThinkingType.ENABLED)))
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.azureOpenaiMetadata(
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new LLMObsAzureOpenAIMetadata()
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.deploymentId("my-gpt4-deployment")
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.modelVersion("0613")
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.resourceName("my-azure-resource"))
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.bedrockMetadata(new LLMObsBedrockMetadata().region("us-east-1"))
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.jsonSchema("""
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{"type":"object","properties":{"answer":{"type":"string"}}}
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""")
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.maxCompletionTokens(1024L)
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.maxTokens(1024L)
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.messages(
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Collections.singletonList(
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new LLMObsInferenceMessage()
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.content("What is the capital of France?")
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.contents(
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Collections.singletonList(
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new LLMObsInferenceContent()
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.type("text")
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.value(
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new LLMObsInferenceContentValue()
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.text("Hello, how can I help you?")
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.toolCall(
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new LLMObsInferenceToolCall()
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.arguments(
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Map.ofEntries(
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Map.entry("location", "San Francisco")))
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.name("get_weather")
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.toolId("call_abc123")
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.type("function"))
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.toolCallResult(
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new LLMObsInferenceToolResult()
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.name("get_weather")
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.result(
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"The weather in San Francisco is 68°F and"
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+ " sunny.")
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.toolId("call_abc123")
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.type("function")))))
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.id("msg_001")
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.role("user")
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.toolCalls(
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Collections.singletonList(
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new LLMObsInferenceToolCall()
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.arguments(
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Map.ofEntries(Map.entry("location", "San Francisco")))
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.name("get_weather")
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.toolId("call_abc123")
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.type("function")))
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.toolResults(
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Collections.singletonList(
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new LLMObsInferenceToolResult()
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.name("get_weather")
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.result("The weather in San Francisco is 68°F and sunny.")
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.toolId("call_abc123")
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.type("function")))))
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.modelId("gpt-4o")
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.openaiMetadata(
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new LLMObsOpenAIMetadata()
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.reasoningEffort(LLMObsOpenAIReasoningEffort.MEDIUM)
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.reasoningSummary(LLMObsOpenAIReasoningSummary.AUTO))
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.temperature(0.7)
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.tools(
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Collections.singletonList(
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new LLMObsInferenceTool()
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.function(
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new LLMObsInferenceFunction()
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.description("Get the current weather for a location.")
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.name("get_weather")
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.parameters(
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Map.ofEntries(
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Map.entry("properties", "{'location': {'type': 'string'}}"),
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Map.entry("type", "object"))))
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.type("function")))
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.topK(50L)
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.topP(1.0)
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.vertexAiMetadata(
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new LLMObsVertexAIMetadata()
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.location("us-central1")
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.project("my-gcp-project")
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.projectIds(Collections.singletonList("my-gcp-project")));
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try {
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LLMObsIntegrationInferenceResponse result =
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apiInstance.createLLMObsIntegrationInference(
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LLMObsIntegrationName.OPENAI, "account-abc123", body);
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System.out.println(result);
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} catch (ApiException e) {
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System.err.println(
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"Exception when calling LlmObservabilityApi#createLLMObsIntegrationInference");
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System.err.println("Status code: " + e.getCode());
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System.err.println("Reason: " + e.getResponseBody());
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System.err.println("Response headers: " + e.getResponseHeaders());
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e.printStackTrace();
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}
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}
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}

‎examples/v2/llm-observability/ListLLMObsIntegrationAccounts.java‎

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// List LLM integration accounts returns "OK" response
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import com.datadog.api.client.ApiClient;
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import com.datadog.api.client.ApiException;
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import com.datadog.api.client.v2.api.LlmObservabilityApi;
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import com.datadog.api.client.v2.model.LLMObsIntegrationAccount;
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import com.datadog.api.client.v2.model.LLMObsIntegrationName;
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import java.util.List;
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public class Example {
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public static void main(String[] args) {
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ApiClient defaultClient = ApiClient.getDefaultApiClient();
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defaultClient.setUnstableOperationEnabled("v2.listLLMObsIntegrationAccounts", true);
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LlmObservabilityApi apiInstance = new LlmObservabilityApi(defaultClient);
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try {
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List<LLMObsIntegrationAccount> result =
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apiInstance.listLLMObsIntegrationAccounts(LLMObsIntegrationName.OPENAI);
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System.out.println(result);
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} catch (ApiException e) {
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System.err.println(
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"Exception when calling LlmObservabilityApi#listLLMObsIntegrationAccounts");
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System.err.println("Status code: " + e.getCode());
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System.err.println("Reason: " + e.getResponseBody());
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System.err.println("Response headers: " + e.getResponseHeaders());
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e.printStackTrace();
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}
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}
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}

‎examples/v2/llm-observability/ListLLMObsIntegrationModels.java‎

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// List LLM integration models returns "OK" response
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import com.datadog.api.client.ApiClient;
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import com.datadog.api.client.ApiException;
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import com.datadog.api.client.v2.api.LlmObservabilityApi;
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import com.datadog.api.client.v2.model.LLMObsIntegrationModel;
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import com.datadog.api.client.v2.model.LLMObsIntegrationName;
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import java.util.List;
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public class Example {
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public static void main(String[] args) {
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ApiClient defaultClient = ApiClient.getDefaultApiClient();
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defaultClient.setUnstableOperationEnabled("v2.listLLMObsIntegrationModels", true);
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LlmObservabilityApi apiInstance = new LlmObservabilityApi(defaultClient);
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try {
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List<LLMObsIntegrationModel> result =
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apiInstance.listLLMObsIntegrationModels(LLMObsIntegrationName.OPENAI, "account-abc123");
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System.out.println(result);
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} catch (ApiException e) {
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System.err.println("Exception when calling LlmObservabilityApi#listLLMObsIntegrationModels");
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System.err.println("Status code: " + e.getCode());
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System.err.println("Reason: " + e.getResponseBody());
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System.err.println("Response headers: " + e.getResponseHeaders());
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e.printStackTrace();
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}
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}
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}

‎src/main/java/com/datadog/api/client/ApiClient.java‎

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put("v2.createLLMObsDatasetRecords", false);
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put("v2.createLLMObsExperiment", false);
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put("v2.createLLMObsExperimentEvents", false);
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put("v2.createLLMObsIntegrationInference", false);
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put("v2.createLLMObsProject", false);
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put("v2.deleteLLMObsAnnotationQueue", false);
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put("v2.deleteLLMObsAnnotationQueueInteractions", false);
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put("v2.listLLMObsDatasets", false);
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put("v2.listLLMObsExperimentEvents", false);
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put("v2.listLLMObsExperiments", false);
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put("v2.listLLMObsIntegrationAccounts", false);
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put("v2.listLLMObsIntegrationModels", false);
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put("v2.listLLMObsProjects", false);
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put("v2.listLLMObsSpans", false);
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put("v2.searchLLMObsExperimentation", false);

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