Regenerate aiplatform client (#8451)

Generated in GitHub action: https://togithub.com/googleapis/googleapis/google-api-php-client-services/actions/workflows/codegen.yaml

Author: yoshi-code-bot

src/Aiplatform.php

@@ -0,0 +1,44 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\Aiplatform;
+
+class GoogleCloudAiplatformV1EvaluationParserConfig extends \Google\Model
+{
+  protected $customCodeParserConfigType = GoogleCloudAiplatformV1EvaluationParserConfigCustomCodeParserConfig::class;
+  protected $customCodeParserConfigDataType = '';
+
+  /**
+   * Optional. Use custom code to parse the LLM response.
+   *
+   * @param GoogleCloudAiplatformV1EvaluationParserConfigCustomCodeParserConfig $customCodeParserConfig
+   */
+  public function setCustomCodeParserConfig(GoogleCloudAiplatformV1EvaluationParserConfigCustomCodeParserConfig $customCodeParserConfig)
+  {
+    $this->customCodeParserConfig = $customCodeParserConfig;
+  }
+  /**
+   * @return GoogleCloudAiplatformV1EvaluationParserConfigCustomCodeParserConfig
+   */
+  public function getCustomCodeParserConfig()
+  {
+    return $this->customCodeParserConfig;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudAiplatformV1EvaluationParserConfig::class, 'Google_Service_Aiplatform_GoogleCloudAiplatformV1EvaluationParserConfig');

src/Aiplatform/GoogleCloudAiplatformV1EvaluationParserConfig.php

@@ -0,0 +1,74 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\Aiplatform;
+
+class GoogleCloudAiplatformV1EvaluationParserConfigCustomCodeParserConfig extends \Google\Model
+{
+  /**
+   * Required. Python function for parsing results. The function should be
+   * defined within this string. The function takes a list of strings (LLM
+   * responses) and should return either a list of dictionaries (for rubrics) or
+   * a single dictionary (for a metric result). Example function signature: def
+   * parse(responses: list[str]) -> list[dict[str, Any]] | dict[str, Any]: When
+   * parsing rubrics, return a list of dictionaries, where each dictionary
+   * represents a Rubric. Example for rubrics: [ { "content": {"property":
+   * {"description": "The response is factual."}}, "type": "FACTUALITY",
+   * "importance": "HIGH" }, { "content": {"property": {"description": "The
+   * response is fluent."}}, "type": "FLUENCY", "importance": "MEDIUM" } ] When
+   * parsing critique results, return a dictionary representing a MetricResult.
+   * Example for a metric result: { "score": 0.8, "explanation": "The model
+   * followed most instructions.", "rubric_verdicts": [...] } ... code for
+   * result extraction and aggregation
+   *
+   * @var string
+   */
+  public $parsingFunction;
+
+  /**
+   * Required. Python function for parsing results. The function should be
+   * defined within this string. The function takes a list of strings (LLM
+   * responses) and should return either a list of dictionaries (for rubrics) or
+   * a single dictionary (for a metric result). Example function signature: def
+   * parse(responses: list[str]) -> list[dict[str, Any]] | dict[str, Any]: When
+   * parsing rubrics, return a list of dictionaries, where each dictionary
+   * represents a Rubric. Example for rubrics: [ { "content": {"property":
+   * {"description": "The response is factual."}}, "type": "FACTUALITY",
+   * "importance": "HIGH" }, { "content": {"property": {"description": "The
+   * response is fluent."}}, "type": "FLUENCY", "importance": "MEDIUM" } ] When
+   * parsing critique results, return a dictionary representing a MetricResult.
+   * Example for a metric result: { "score": 0.8, "explanation": "The model
+   * followed most instructions.", "rubric_verdicts": [...] } ... code for
+   * result extraction and aggregation
+   *
+   * @param string $parsingFunction
+   */
+  public function setParsingFunction($parsingFunction)
+  {
+    $this->parsingFunction = $parsingFunction;
+  }
+  /**
+   * @return string
+   */
+  public function getParsingFunction()
+  {
+    return $this->parsingFunction;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudAiplatformV1EvaluationParserConfigCustomCodeParserConfig::class, 'Google_Service_Aiplatform_GoogleCloudAiplatformV1EvaluationParserConfigCustomCodeParserConfig');

src/Aiplatform/GoogleCloudAiplatformV1EvaluationParserConfigCustomCodeParserConfig.php

@@ -37,6 +37,13 @@ class GoogleCloudAiplatformV1EvaluationRunInferenceConfig extends \Google\Model
    * @var string
    */
   public $model;
+  /**
+   * Optional. The parallelism of the evaluation run for the inference step. If
+   * not specified, the default parallelism will be used.
+   *
+   * @var int
+   */
+  public $parallelism;
 
   /**
    * Optional. Agent run config.
@@ -94,6 +101,23 @@ public function getModel()
   {
     return $this->model;
   }
+  /**
+   * Optional. The parallelism of the evaluation run for the inference step. If
+   * not specified, the default parallelism will be used.
+   *
+   * @param int $parallelism
+   */
+  public function setParallelism($parallelism)
+  {
+    $this->parallelism = $parallelism;
+  }
+  /**
+   * @return int
+   */
+  public function getParallelism()
+  {
+    return $this->parallelism;
+  }
 }
 
 // Adding a class alias for backwards compatibility with the previous class name.

src/Aiplatform/GoogleCloudAiplatformV1EvaluationRunInferenceConfig.php

@@ -17,7 +17,7 @@
 
 namespace Google\Service\Aiplatform;
 
-class GoogleCloudAiplatformV1GenerateMemoriesRequest extends \Google\Model
+class GoogleCloudAiplatformV1GenerateMemoriesRequest extends \Google\Collection
 {
   /**
    * Unspecified metadata merge strategy. If unspecified, the default behavior
@@ -39,6 +39,9 @@ class GoogleCloudAiplatformV1GenerateMemoriesRequest extends \Google\Model
    * for consolidation.
    */
   public const METADATA_MERGE_STRATEGY_REQUIRE_EXACT_MATCH = 'REQUIRE_EXACT_MATCH';
+  protected $collection_key = 'allowedTopics';
+  protected $allowedTopicsType = GoogleCloudAiplatformV1MemoryTopicId::class;
+  protected $allowedTopicsDataType = 'array';
   protected $directContentsSourceType = GoogleCloudAiplatformV1GenerateMemoriesRequestDirectContentsSource::class;
   protected $directContentsSourceDataType = '';
   protected $directMemoriesSourceType = GoogleCloudAiplatformV1GenerateMemoriesRequestDirectMemoriesSource::class;
@@ -100,6 +103,22 @@ class GoogleCloudAiplatformV1GenerateMemoriesRequest extends \Google\Model
   protected $vertexSessionSourceType = GoogleCloudAiplatformV1GenerateMemoriesRequestVertexSessionSource::class;
   protected $vertexSessionSourceDataType = '';
 
+  /**
+   * Optional. Restricts memory generation to a subset of memory topics.
+   *
+   * @param GoogleCloudAiplatformV1MemoryTopicId[] $allowedTopics
+   */
+  public function setAllowedTopics($allowedTopics)
+  {
+    $this->allowedTopics = $allowedTopics;
+  }
+  /**
+   * @return GoogleCloudAiplatformV1MemoryTopicId[]
+   */
+  public function getAllowedTopics()
+  {
+    return $this->allowedTopics;
+  }
   /**
    * Defines a direct source of content as the source content from which to
    * generate memories.

src/Aiplatform/GoogleCloudAiplatformV1GenerateMemoriesRequest.php

@@ -20,14 +20,44 @@
 class GoogleCloudAiplatformV1IntermediateExtractedMemory extends \Google\Model
 {
   /**
-   * Output only. The fact of the extracted memory.
+   * Output only. Represents the explanation of why the information was
+   * extracted from the source content.
+   *
+   * @var string
+   */
+  public $context;
+  /**
+   * Output only. Represents the fact of the extracted memory.
    *
    * @var string
    */
   public $fact;
+  /**
+   * Output only. Represents the structured value of the extracted memory.
+   *
+   * @var array[]
+   */
+  public $structuredData;
 
   /**
-   * Output only. The fact of the extracted memory.
+   * Output only. Represents the explanation of why the information was
+   * extracted from the source content.
+   *
+   * @param string $context
+   */
+  public function setContext($context)
+  {
+    $this->context = $context;
+  }
+  /**
+   * @return string
+   */
+  public function getContext()
+  {
+    return $this->context;
+  }
+  /**
+   * Output only. Represents the fact of the extracted memory.
    *
    * @param string $fact
    */
@@ -42,6 +72,22 @@ public function getFact()
   {
     return $this->fact;
   }
+  /**
+   * Output only. Represents the structured value of the extracted memory.
+   *
+   * @param array[] $structuredData
+   */
+  public function setStructuredData($structuredData)
+  {
+    $this->structuredData = $structuredData;
+  }
+  /**
+   * @return array[]
+   */
+  public function getStructuredData()
+  {
+    return $this->structuredData;
+  }
 }
 
 // Adding a class alias for backwards compatibility with the previous class name.

src/Aiplatform/GoogleCloudAiplatformV1IntermediateExtractedMemory.php

@@ -35,6 +35,8 @@ class GoogleCloudAiplatformV1LLMBasedMetricSpec extends \Google\Model
   public $metricPromptTemplate;
   protected $predefinedRubricGenerationSpecType = GoogleCloudAiplatformV1PredefinedMetricSpec::class;
   protected $predefinedRubricGenerationSpecDataType = '';
+  protected $resultParserConfigType = GoogleCloudAiplatformV1EvaluationParserConfig::class;
+  protected $resultParserConfigDataType = '';
   protected $rubricGenerationSpecType = GoogleCloudAiplatformV1RubricGenerationSpec::class;
   protected $rubricGenerationSpecDataType = '';
   /**
@@ -115,6 +117,22 @@ public function getPredefinedRubricGenerationSpec()
   {
     return $this->predefinedRubricGenerationSpec;
   }
+  /**
+   * Optional. The parser config for the metric result.
+   *
+   * @param GoogleCloudAiplatformV1EvaluationParserConfig $resultParserConfig
+   */
+  public function setResultParserConfig(GoogleCloudAiplatformV1EvaluationParserConfig $resultParserConfig)
+  {
+    $this->resultParserConfig = $resultParserConfig;
+  }
+  /**
+   * @return GoogleCloudAiplatformV1EvaluationParserConfig
+   */
+  public function getResultParserConfig()
+  {
+    return $this->resultParserConfig;
+  }
   /**
    * Dynamically generate rubrics using this specification.
    *

src/Aiplatform/GoogleCloudAiplatformV1LLMBasedMetricSpec.php

@@ -0,0 +1,71 @@
+<?php
+/*
+ * Copyright 2014 Google Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy of
+ * the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+namespace Google\Service\Aiplatform;
+
+class GoogleCloudAiplatformV1ListSandboxEnvironmentSnapshotsResponse extends \Google\Collection
+{
+  protected $collection_key = 'sandboxEnvironmentSnapshots';
+  /**
+   * A token, which can be sent as
+   * ListSandboxEnvironmentSnapshotsRequest.page_token to retrieve the next
+   * page. Absence of this field indicates there are no subsequent pages.
+   *
+   * @var string
+   */
+  public $nextPageToken;
+  protected $sandboxEnvironmentSnapshotsType = GoogleCloudAiplatformV1SandboxEnvironmentSnapshot::class;
+  protected $sandboxEnvironmentSnapshotsDataType = 'array';
+
+  /**
+   * A token, which can be sent as
+   * ListSandboxEnvironmentSnapshotsRequest.page_token to retrieve the next
+   * page. Absence of this field indicates there are no subsequent pages.
+   *
+   * @param string $nextPageToken
+   */
+  public function setNextPageToken($nextPageToken)
+  {
+    $this->nextPageToken = $nextPageToken;
+  }
+  /**
+   * @return string
+   */
+  public function getNextPageToken()
+  {
+    return $this->nextPageToken;
+  }
+  /**
+   * The SandboxEnvironmentSnapshots matching the request.
+   *
+   * @param GoogleCloudAiplatformV1SandboxEnvironmentSnapshot[] $sandboxEnvironmentSnapshots
+   */
+  public function setSandboxEnvironmentSnapshots($sandboxEnvironmentSnapshots)
+  {
+    $this->sandboxEnvironmentSnapshots = $sandboxEnvironmentSnapshots;
+  }
+  /**
+   * @return GoogleCloudAiplatformV1SandboxEnvironmentSnapshot[]
+   */
+  public function getSandboxEnvironmentSnapshots()
+  {
+    return $this->sandboxEnvironmentSnapshots;
+  }
+}
+
+// Adding a class alias for backwards compatibility with the previous class name.
+class_alias(GoogleCloudAiplatformV1ListSandboxEnvironmentSnapshotsResponse::class, 'Google_Service_Aiplatform_GoogleCloudAiplatformV1ListSandboxEnvironmentSnapshotsResponse');