[8.19] [ML] Add Google VertexAi Chat completion integration

docs/changelog/128105.yaml

@@ -0,0 +1,5 @@
+pr: 128105
+summary: "Adding Google VertexAI chat completion integration"
+area: Inference
+type: enhancement
+issues: [ ]

server/src/main/java/org/elasticsearch/TransportVersions.java

@@ -227,6 +227,7 @@ static TransportVersion def(int id) {
     public static final TransportVersion RERANKER_FAILURES_ALLOWED_8_19 = def(8_841_0_35);
     public static final TransportVersion ML_INFERENCE_HUGGING_FACE_RERANK_ADDED_8_19 = def(8_841_0_36);
     public static final TransportVersion ML_INFERENCE_SAGEMAKER_CHAT_COMPLETION_8_19 = def(8_841_0_37);
+    public static final TransportVersion ML_INFERENCE_VERTEXAI_CHATCOMPLETION_ADDED_8_19 = def(8_841_0_38);
 
     /*
      * STOP! READ THIS FIRST! No, really,

x-pack/plugin/inference/qa/inference-service-tests/src/javaRestTest/java/org/elasticsearch/xpack/inference/InferenceGetServicesIT.java

@@ -151,14 +151,22 @@ public void testGetServicesWithCompletionTaskType() throws IOException {
 
     public void testGetServicesWithChatCompletionTaskType() throws IOException {
         List<Object> services = getServices(TaskType.CHAT_COMPLETION);
-        assertThat(services.size(), equalTo(6));
+        assertThat(services.size(), equalTo(7));
 
         var providers = providers(services);
 
         assertThat(
             providers,
             containsInAnyOrder(
-                List.of("deepseek", "elastic", "openai", "streaming_completion_test_service", "hugging_face", "amazon_sagemaker").toArray()
+                List.of(
+                    "deepseek",
+                    "elastic",
+                    "openai",
+                    "streaming_completion_test_service",
+                    "hugging_face",
+                    "amazon_sagemaker",
+                    "googlevertexai"
+                ).toArray()
             )
         );
     }

x-pack/plugin/inference/src/main/java/org/elasticsearch/xpack/inference/InferenceNamedWriteablesProvider.java

@@ -73,6 +73,7 @@
 import org.elasticsearch.xpack.inference.services.googleaistudio.completion.GoogleAiStudioCompletionServiceSettings;
 import org.elasticsearch.xpack.inference.services.googleaistudio.embeddings.GoogleAiStudioEmbeddingsServiceSettings;
 import org.elasticsearch.xpack.inference.services.googlevertexai.GoogleVertexAiSecretSettings;
+import org.elasticsearch.xpack.inference.services.googlevertexai.completion.GoogleVertexAiChatCompletionServiceSettings;
 import org.elasticsearch.xpack.inference.services.googlevertexai.embeddings.GoogleVertexAiEmbeddingsServiceSettings;
 import org.elasticsearch.xpack.inference.services.googlevertexai.embeddings.GoogleVertexAiEmbeddingsTaskSettings;
 import org.elasticsearch.xpack.inference.services.googlevertexai.rerank.GoogleVertexAiRerankServiceSettings;
@@ -453,6 +454,15 @@ private static void addGoogleVertexAiNamedWriteables(List<NamedWriteableRegistry
                 GoogleVertexAiRerankTaskSettings::new
             )
         );
+
+        namedWriteables.add(
+            new NamedWriteableRegistry.Entry(
+                ServiceSettings.class,
+                GoogleVertexAiChatCompletionServiceSettings.NAME,
+                GoogleVertexAiChatCompletionServiceSettings::new
+            )
+        );
+
     }
 
     private static void addInternalNamedWriteables(List<NamedWriteableRegistry.Entry> namedWriteables) {

x-pack/plugin/inference/src/main/java/org/elasticsearch/xpack/inference/services/googlevertexai/GoogleVertexAiModel.java

@@ -7,19 +7,20 @@
 
 package org.elasticsearch.xpack.inference.services.googlevertexai;
 
-import org.elasticsearch.inference.Model;
 import org.elasticsearch.inference.ModelConfigurations;
 import org.elasticsearch.inference.ModelSecrets;
 import org.elasticsearch.inference.ServiceSettings;
 import org.elasticsearch.inference.TaskSettings;
 import org.elasticsearch.xpack.inference.external.action.ExecutableAction;
+import org.elasticsearch.xpack.inference.services.RateLimitGroupingModel;
 import org.elasticsearch.xpack.inference.services.googlevertexai.action.GoogleVertexAiActionVisitor;
+import org.elasticsearch.xpack.inference.services.settings.RateLimitSettings;
 
 import java.net.URI;
 import java.util.Map;
 import java.util.Objects;
 
-public abstract class GoogleVertexAiModel extends Model {
+public abstract class GoogleVertexAiModel extends RateLimitGroupingModel {
 
     private final GoogleVertexAiRateLimitServiceSettings rateLimitServiceSettings;
 
@@ -58,4 +59,18 @@ public GoogleVertexAiRateLimitServiceSettings rateLimitServiceSettings() {
     public URI uri() {
         return uri;
     }
+
+    @Override
+    public int rateLimitGroupingHash() {
+        // In VertexAI rate limiting is scoped to the project, region and model. URI already has this information so we are using that.
+        // API Key does not affect the quota
+        // https://ai.google.dev/gemini-api/docs/rate-limits
+        // https://cloud.google.com/vertex-ai/docs/quotas
+        return Objects.hash(uri);
+    }
+
+    @Override
+    public RateLimitSettings rateLimitSettings() {
+        return rateLimitServiceSettings().rateLimitSettings();
+    }
 }

x-pack/plugin/inference/src/main/java/org/elasticsearch/xpack/inference/services/googlevertexai/GoogleVertexAiResponseHandler.java

@@ -9,11 +9,14 @@
 
 import org.elasticsearch.xpack.inference.external.http.HttpResult;
 import org.elasticsearch.xpack.inference.external.http.retry.BaseResponseHandler;
+import org.elasticsearch.xpack.inference.external.http.retry.ErrorResponse;
 import org.elasticsearch.xpack.inference.external.http.retry.ResponseParser;
 import org.elasticsearch.xpack.inference.external.http.retry.RetryException;
 import org.elasticsearch.xpack.inference.external.request.Request;
 import org.elasticsearch.xpack.inference.services.googlevertexai.response.GoogleVertexAiErrorResponseEntity;
 
+import java.util.function.Function;
+
 import static org.elasticsearch.core.Strings.format;
 
 public class GoogleVertexAiResponseHandler extends BaseResponseHandler {
@@ -24,6 +27,15 @@ public GoogleVertexAiResponseHandler(String requestType, ResponseParser parseFun
         super(requestType, parseFunction, GoogleVertexAiErrorResponseEntity::fromResponse);
     }
 
+    public GoogleVertexAiResponseHandler(
+        String requestType,
+        ResponseParser parseFunction,
+        Function<HttpResult, ErrorResponse> errorParseFunction,
+        boolean canHandleStreamingResponses
+    ) {
+        super(requestType, parseFunction, errorParseFunction, canHandleStreamingResponses);
+    }
+
     @Override
     protected void checkForFailureStatusCode(Request request, HttpResult result) throws RetryException {
         int statusCode = result.response().getStatusLine().getStatusCode();

x-pack/plugin/inference/src/main/java/org/elasticsearch/xpack/inference/services/googlevertexai/GoogleVertexAiSecretSettings.java

@@ -124,9 +124,8 @@ public static Map<String, SettingsConfiguration> get() {
                 var configurationMap = new HashMap<String, SettingsConfiguration>();
                 configurationMap.put(
                     SERVICE_ACCOUNT_JSON,
-                    new SettingsConfiguration.Builder(EnumSet.of(TaskType.TEXT_EMBEDDING, TaskType.RERANK)).setDescription(
-                        "API Key for the provider you're connecting to."
-                    )
+                    new SettingsConfiguration.Builder(EnumSet.of(TaskType.TEXT_EMBEDDING, TaskType.RERANK, TaskType.CHAT_COMPLETION))
+                        .setDescription("API Key for the provider you're connecting to.")
                         .setLabel("Credentials JSON")
                         .setRequired(true)
                         .setSensitive(true)

x-pack/plugin/inference/src/main/java/org/elasticsearch/xpack/inference/services/googlevertexai/GoogleVertexAiService.java

@@ -29,7 +29,10 @@
 import org.elasticsearch.rest.RestStatus;
 import org.elasticsearch.xpack.inference.chunking.ChunkingSettingsBuilder;
 import org.elasticsearch.xpack.inference.chunking.EmbeddingRequestChunker;
+import org.elasticsearch.xpack.inference.external.action.SenderExecutableAction;
+import org.elasticsearch.xpack.inference.external.http.retry.ResponseHandler;
 import org.elasticsearch.xpack.inference.external.http.sender.EmbeddingsInput;
+import org.elasticsearch.xpack.inference.external.http.sender.GenericRequestManager;
 import org.elasticsearch.xpack.inference.external.http.sender.HttpRequestSender;
 import org.elasticsearch.xpack.inference.external.http.sender.InferenceInputs;
 import org.elasticsearch.xpack.inference.external.http.sender.UnifiedChatInput;
@@ -38,34 +41,42 @@
 import org.elasticsearch.xpack.inference.services.ServiceComponents;
 import org.elasticsearch.xpack.inference.services.ServiceUtils;
 import org.elasticsearch.xpack.inference.services.googlevertexai.action.GoogleVertexAiActionCreator;
+import org.elasticsearch.xpack.inference.services.googlevertexai.completion.GoogleVertexAiChatCompletionModel;
 import org.elasticsearch.xpack.inference.services.googlevertexai.embeddings.GoogleVertexAiEmbeddingsModel;
 import org.elasticsearch.xpack.inference.services.googlevertexai.embeddings.GoogleVertexAiEmbeddingsServiceSettings;
+import org.elasticsearch.xpack.inference.services.googlevertexai.request.GoogleVertexAiUnifiedChatCompletionRequest;
 import org.elasticsearch.xpack.inference.services.googlevertexai.rerank.GoogleVertexAiRerankModel;
 import org.elasticsearch.xpack.inference.services.settings.RateLimitSettings;
 
 import java.util.EnumSet;
 import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
+import java.util.Set;
 
+import static org.elasticsearch.xpack.inference.external.action.ActionUtils.constructFailedToSendRequestMessage;
 import static org.elasticsearch.xpack.inference.services.ServiceFields.MODEL_ID;
 import static org.elasticsearch.xpack.inference.services.ServiceUtils.createInvalidModelException;
 import static org.elasticsearch.xpack.inference.services.ServiceUtils.parsePersistedConfigErrorMsg;
 import static org.elasticsearch.xpack.inference.services.ServiceUtils.removeFromMap;
 import static org.elasticsearch.xpack.inference.services.ServiceUtils.removeFromMapOrDefaultEmpty;
 import static org.elasticsearch.xpack.inference.services.ServiceUtils.removeFromMapOrThrowIfNull;
 import static org.elasticsearch.xpack.inference.services.ServiceUtils.throwIfNotEmptyMap;
-import static org.elasticsearch.xpack.inference.services.ServiceUtils.throwUnsupportedUnifiedCompletionOperation;
 import static org.elasticsearch.xpack.inference.services.googlevertexai.GoogleVertexAiServiceFields.EMBEDDING_MAX_BATCH_SIZE;
 import static org.elasticsearch.xpack.inference.services.googlevertexai.GoogleVertexAiServiceFields.LOCATION;
 import static org.elasticsearch.xpack.inference.services.googlevertexai.GoogleVertexAiServiceFields.PROJECT_ID;
+import static org.elasticsearch.xpack.inference.services.googlevertexai.action.GoogleVertexAiActionCreator.COMPLETION_ERROR_PREFIX;
 
 public class GoogleVertexAiService extends SenderService {
 
     public static final String NAME = "googlevertexai";
 
     private static final String SERVICE_NAME = "Google Vertex AI";
-    private static final EnumSet<TaskType> supportedTaskTypes = EnumSet.of(TaskType.TEXT_EMBEDDING, TaskType.RERANK);
+    private static final EnumSet<TaskType> supportedTaskTypes = EnumSet.of(
+        TaskType.TEXT_EMBEDDING,
+        TaskType.RERANK,
+        TaskType.CHAT_COMPLETION
+    );
 
     public static final EnumSet<InputType> VALID_INPUT_TYPE_VALUES = EnumSet.of(
         InputType.INGEST,
@@ -76,6 +87,15 @@ public class GoogleVertexAiService extends SenderService {
         InputType.INTERNAL_SEARCH
     );
 
+    private final ResponseHandler COMPLETION_HANDLER = new GoogleVertexAiUnifiedChatCompletionResponseHandler(
+        "Google VertexAI chat completion"
+    );
+
+    @Override
+    public Set<TaskType> supportedStreamingTasks() {
+        return EnumSet.of(TaskType.CHAT_COMPLETION);
+    }
+
     public GoogleVertexAiService(HttpRequestSender.Factory factory, ServiceComponents serviceComponents) {
         super(factory, serviceComponents);
     }
@@ -220,7 +240,24 @@ protected void doUnifiedCompletionInfer(
         TimeValue timeout,
         ActionListener<InferenceServiceResults> listener
     ) {
-        throwUnsupportedUnifiedCompletionOperation(NAME);
+        if (model instanceof GoogleVertexAiChatCompletionModel == false) {
+            listener.onFailure(createInvalidModelException(model));
+            return;
+        }
+        var chatCompletionModel = (GoogleVertexAiChatCompletionModel) model;
+        var updatedChatCompletionModel = GoogleVertexAiChatCompletionModel.of(chatCompletionModel, inputs.getRequest());
+
+        var manager = new GenericRequestManager<>(
+            getServiceComponents().threadPool(),
+            updatedChatCompletionModel,
+            COMPLETION_HANDLER,
+            (unifiedChatInput) -> new GoogleVertexAiUnifiedChatCompletionRequest(unifiedChatInput, updatedChatCompletionModel),
+            UnifiedChatInput.class
+        );
+
+        var errorMessage = constructFailedToSendRequestMessage(COMPLETION_ERROR_PREFIX);
+        var action = new SenderExecutableAction(getSender(), manager, errorMessage);
+        action.execute(inputs, timeout, listener);
     }
 
     @Override
@@ -320,6 +357,17 @@ private static GoogleVertexAiModel createModel(
                 secretSettings,
                 context
             );
+
+            case CHAT_COMPLETION -> new GoogleVertexAiChatCompletionModel(
+                inferenceEntityId,
+                taskType,
+                NAME,
+                serviceSettings,
+                taskSettings,
+                secretSettings,
+                context
+            );
+
             default -> throw new ElasticsearchStatusException(failureMessage, RestStatus.BAD_REQUEST);
         };
     }
@@ -348,7 +396,7 @@ public static InferenceServiceConfiguration get() {
 
                 configurationMap.put(
                     LOCATION,
-                    new SettingsConfiguration.Builder(EnumSet.of(TaskType.TEXT_EMBEDDING)).setDescription(
+                    new SettingsConfiguration.Builder(EnumSet.of(TaskType.TEXT_EMBEDDING, TaskType.CHAT_COMPLETION)).setDescription(
                         "Please provide the GCP region where the Vertex AI API(s) is enabled. "
                             + "For more information, refer to the {geminiVertexAIDocs}."
                     )