feat(aiplatform): update the api

#### aiplatform:v1

The following keys were added:
- resources.projects.resources.locations.resources.featureGroups.methods.getIamPolicy (Total Keys: 14)
- resources.projects.resources.locations.resources.featureGroups.methods.setIamPolicy (Total Keys: 12)
- resources.projects.resources.locations.resources.featureGroups.methods.testIamPermissions (Total Keys: 14)
- schemas.GoogleCloudAiplatformV1FeatureGroup.properties.serviceAccountEmail (Total Keys: 2)
- schemas.GoogleCloudAiplatformV1FeatureGroup.properties.serviceAgentType.type (Total Keys: 1)
- schemas.GoogleCloudAiplatformV1GroundingChunkWeb.properties.domain.type (Total Keys: 1)
- schemas.GoogleCloudAiplatformV1RagCorpus.properties.vertexAiSearchConfig.$ref (Total Keys: 1)
- schemas.GoogleCloudAiplatformV1RagRetrievalConfig.properties.ranking.$ref (Total Keys: 1)
- schemas.GoogleCloudAiplatformV1RagRetrievalConfigRanking (Total Keys: 10)
- schemas.GoogleCloudAiplatformV1VertexAiSearchConfig (Total Keys: 3)

#### aiplatform:v1beta1

The following keys were added:
- schemas.GoogleCloudAiplatformV1beta1FunctionCall.properties.id.type (Total Keys: 1)
- schemas.GoogleCloudAiplatformV1beta1FunctionResponse.properties.id.type (Total Keys: 1)
- schemas.GoogleCloudAiplatformV1beta1GroundingChunkWeb.properties.domain.type (Total Keys: 1)

Author: yoshi-automation

docs/dyn/aiplatform_v1.endpoints.html

@@ -460,6 +460,14 @@ <h3>Method Details</h3>
               &quot;vectorDistanceThreshold&quot;: 3.14, # Optional. Only returns contexts with vector distance smaller than the threshold.
               &quot;vectorSimilarityThreshold&quot;: 3.14, # Optional. Only returns contexts with vector similarity larger than the threshold.
             },
+            &quot;ranking&quot;: { # Config for ranking and reranking. # Optional. Config for ranking and reranking.
+              &quot;llmRanker&quot;: { # Config for LlmRanker. # Optional. Config for LlmRanker.
+                &quot;modelName&quot;: &quot;A String&quot;, # Optional. The model name used for ranking. Format: `gemini-1.5-pro`
+              },
+              &quot;rankService&quot;: { # Config for Rank Service. # Optional. Config for Rank Service.
+                &quot;modelName&quot;: &quot;A String&quot;, # Optional. The model name of the rank service. Format: `semantic-ranker-512@latest`
+              },
+            },
             &quot;topK&quot;: 42, # Optional. The number of contexts to retrieve.
           },
           &quot;similarityTopK&quot;: 42, # Optional. Number of top k results to return from the selected corpora.
@@ -791,6 +799,14 @@ <h3>Method Details</h3>
               &quot;vectorDistanceThreshold&quot;: 3.14, # Optional. Only returns contexts with vector distance smaller than the threshold.
               &quot;vectorSimilarityThreshold&quot;: 3.14, # Optional. Only returns contexts with vector similarity larger than the threshold.
             },
+            &quot;ranking&quot;: { # Config for ranking and reranking. # Optional. Config for ranking and reranking.
+              &quot;llmRanker&quot;: { # Config for LlmRanker. # Optional. Config for LlmRanker.
+                &quot;modelName&quot;: &quot;A String&quot;, # Optional. The model name used for ranking. Format: `gemini-1.5-pro`
+              },
+              &quot;rankService&quot;: { # Config for Rank Service. # Optional. Config for Rank Service.
+                &quot;modelName&quot;: &quot;A String&quot;, # Optional. The model name of the rank service. Format: `semantic-ranker-512@latest`
+              },
+            },
             &quot;topK&quot;: 42, # Optional. The number of contexts to retrieve.
           },
           &quot;similarityTopK&quot;: 42, # Optional. Number of top k results to return from the selected corpora.
@@ -882,6 +898,7 @@ <h3>Method Details</h3>
               &quot;uri&quot;: &quot;A String&quot;, # URI reference of the attribution.
             },
             &quot;web&quot;: { # Chunk from the web. # Grounding chunk from the web.
+              &quot;domain&quot;: &quot;A String&quot;, # Domain of the (original) URI.
               &quot;title&quot;: &quot;A String&quot;, # Title of the chunk.
               &quot;uri&quot;: &quot;A String&quot;, # URI reference of the chunk.
             },
@@ -1336,6 +1353,14 @@ <h3>Method Details</h3>
               &quot;vectorDistanceThreshold&quot;: 3.14, # Optional. Only returns contexts with vector distance smaller than the threshold.
               &quot;vectorSimilarityThreshold&quot;: 3.14, # Optional. Only returns contexts with vector similarity larger than the threshold.
             },
+            &quot;ranking&quot;: { # Config for ranking and reranking. # Optional. Config for ranking and reranking.
+              &quot;llmRanker&quot;: { # Config for LlmRanker. # Optional. Config for LlmRanker.
+                &quot;modelName&quot;: &quot;A String&quot;, # Optional. The model name used for ranking. Format: `gemini-1.5-pro`
+              },
+              &quot;rankService&quot;: { # Config for Rank Service. # Optional. Config for Rank Service.
+                &quot;modelName&quot;: &quot;A String&quot;, # Optional. The model name of the rank service. Format: `semantic-ranker-512@latest`
+              },
+            },
             &quot;topK&quot;: 42, # Optional. The number of contexts to retrieve.
           },
           &quot;similarityTopK&quot;: 42, # Optional. Number of top k results to return from the selected corpora.
@@ -1427,6 +1452,7 @@ <h3>Method Details</h3>
               &quot;uri&quot;: &quot;A String&quot;, # URI reference of the attribution.
             },
             &quot;web&quot;: { # Chunk from the web. # Grounding chunk from the web.
+              &quot;domain&quot;: &quot;A String&quot;, # Domain of the (original) URI.
               &quot;title&quot;: &quot;A String&quot;, # Title of the chunk.
               &quot;uri&quot;: &quot;A String&quot;, # URI reference of the chunk.
             },

docs/dyn/aiplatform_v1.projects.locations.cachedContents.html

@@ -326,6 +326,14 @@ <h3>Method Details</h3>
               &quot;vectorDistanceThreshold&quot;: 3.14, # Optional. Only returns contexts with vector distance smaller than the threshold.
               &quot;vectorSimilarityThreshold&quot;: 3.14, # Optional. Only returns contexts with vector similarity larger than the threshold.
             },
+            &quot;ranking&quot;: { # Config for ranking and reranking. # Optional. Config for ranking and reranking.
+              &quot;llmRanker&quot;: { # Config for LlmRanker. # Optional. Config for LlmRanker.
+                &quot;modelName&quot;: &quot;A String&quot;, # Optional. The model name used for ranking. Format: `gemini-1.5-pro`
+              },
+              &quot;rankService&quot;: { # Config for Rank Service. # Optional. Config for Rank Service.
+                &quot;modelName&quot;: &quot;A String&quot;, # Optional. The model name of the rank service. Format: `semantic-ranker-512@latest`
+              },
+            },
             &quot;topK&quot;: 42, # Optional. The number of contexts to retrieve.
           },
           &quot;similarityTopK&quot;: 42, # Optional. Number of top k results to return from the selected corpora.
@@ -569,6 +577,14 @@ <h3>Method Details</h3>
               &quot;vectorDistanceThreshold&quot;: 3.14, # Optional. Only returns contexts with vector distance smaller than the threshold.
               &quot;vectorSimilarityThreshold&quot;: 3.14, # Optional. Only returns contexts with vector similarity larger than the threshold.
             },
+            &quot;ranking&quot;: { # Config for ranking and reranking. # Optional. Config for ranking and reranking.
+              &quot;llmRanker&quot;: { # Config for LlmRanker. # Optional. Config for LlmRanker.
+                &quot;modelName&quot;: &quot;A String&quot;, # Optional. The model name used for ranking. Format: `gemini-1.5-pro`
+              },
+              &quot;rankService&quot;: { # Config for Rank Service. # Optional. Config for Rank Service.
+                &quot;modelName&quot;: &quot;A String&quot;, # Optional. The model name of the rank service. Format: `semantic-ranker-512@latest`
+              },
+            },
             &quot;topK&quot;: 42, # Optional. The number of contexts to retrieve.
           },
           &quot;similarityTopK&quot;: 42, # Optional. Number of top k results to return from the selected corpora.
@@ -837,6 +853,14 @@ <h3>Method Details</h3>
               &quot;vectorDistanceThreshold&quot;: 3.14, # Optional. Only returns contexts with vector distance smaller than the threshold.
               &quot;vectorSimilarityThreshold&quot;: 3.14, # Optional. Only returns contexts with vector similarity larger than the threshold.
             },
+            &quot;ranking&quot;: { # Config for ranking and reranking. # Optional. Config for ranking and reranking.
+              &quot;llmRanker&quot;: { # Config for LlmRanker. # Optional. Config for LlmRanker.
+                &quot;modelName&quot;: &quot;A String&quot;, # Optional. The model name used for ranking. Format: `gemini-1.5-pro`
+              },
+              &quot;rankService&quot;: { # Config for Rank Service. # Optional. Config for Rank Service.
+                &quot;modelName&quot;: &quot;A String&quot;, # Optional. The model name of the rank service. Format: `semantic-ranker-512@latest`
+              },
+            },
             &quot;topK&quot;: 42, # Optional. The number of contexts to retrieve.
           },
           &quot;similarityTopK&quot;: 42, # Optional. Number of top k results to return from the selected corpora.
@@ -1091,6 +1115,14 @@ <h3>Method Details</h3>
                   &quot;vectorDistanceThreshold&quot;: 3.14, # Optional. Only returns contexts with vector distance smaller than the threshold.
                   &quot;vectorSimilarityThreshold&quot;: 3.14, # Optional. Only returns contexts with vector similarity larger than the threshold.
                 },
+                &quot;ranking&quot;: { # Config for ranking and reranking. # Optional. Config for ranking and reranking.
+                  &quot;llmRanker&quot;: { # Config for LlmRanker. # Optional. Config for LlmRanker.
+                    &quot;modelName&quot;: &quot;A String&quot;, # Optional. The model name used for ranking. Format: `gemini-1.5-pro`
+                  },
+                  &quot;rankService&quot;: { # Config for Rank Service. # Optional. Config for Rank Service.
+                    &quot;modelName&quot;: &quot;A String&quot;, # Optional. The model name of the rank service. Format: `semantic-ranker-512@latest`
+                  },
+                },
                 &quot;topK&quot;: 42, # Optional. The number of contexts to retrieve.
               },
               &quot;similarityTopK&quot;: 42, # Optional. Number of top k results to return from the selected corpora.
@@ -1353,6 +1385,14 @@ <h3>Method Details</h3>
               &quot;vectorDistanceThreshold&quot;: 3.14, # Optional. Only returns contexts with vector distance smaller than the threshold.
               &quot;vectorSimilarityThreshold&quot;: 3.14, # Optional. Only returns contexts with vector similarity larger than the threshold.
             },
+            &quot;ranking&quot;: { # Config for ranking and reranking. # Optional. Config for ranking and reranking.
+              &quot;llmRanker&quot;: { # Config for LlmRanker. # Optional. Config for LlmRanker.
+                &quot;modelName&quot;: &quot;A String&quot;, # Optional. The model name used for ranking. Format: `gemini-1.5-pro`
+              },
+              &quot;rankService&quot;: { # Config for Rank Service. # Optional. Config for Rank Service.
+                &quot;modelName&quot;: &quot;A String&quot;, # Optional. The model name of the rank service. Format: `semantic-ranker-512@latest`
+              },
+            },
             &quot;topK&quot;: 42, # Optional. The number of contexts to retrieve.
           },
           &quot;similarityTopK&quot;: 42, # Optional. Number of top k results to return from the selected corpora.
@@ -1597,6 +1637,14 @@ <h3>Method Details</h3>
               &quot;vectorDistanceThreshold&quot;: 3.14, # Optional. Only returns contexts with vector distance smaller than the threshold.
               &quot;vectorSimilarityThreshold&quot;: 3.14, # Optional. Only returns contexts with vector similarity larger than the threshold.
             },
+            &quot;ranking&quot;: { # Config for ranking and reranking. # Optional. Config for ranking and reranking.
+              &quot;llmRanker&quot;: { # Config for LlmRanker. # Optional. Config for LlmRanker.
+                &quot;modelName&quot;: &quot;A String&quot;, # Optional. The model name used for ranking. Format: `gemini-1.5-pro`
+              },
+              &quot;rankService&quot;: { # Config for Rank Service. # Optional. Config for Rank Service.
+                &quot;modelName&quot;: &quot;A String&quot;, # Optional. The model name of the rank service. Format: `semantic-ranker-512@latest`
+              },
+            },
             &quot;topK&quot;: 42, # Optional. The number of contexts to retrieve.
           },
           &quot;similarityTopK&quot;: 42, # Optional. Number of top k results to return from the selected corpora.

docs/dyn/aiplatform_v1.projects.locations.datasets.dataItems.annotations.html

@@ -84,7 +84,7 @@ <h2>Instance Methods</h2>
 <p class="firstline">Close httplib2 connections.</p>
 <p class="toc_element">
   <code><a href="#list">list(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, readMask=None, x__xgafv=None)</a></code></p>
-<p class="firstline">Lists Annotations belongs to a dataitem This RPC is only available in InternalDatasetService. It is only used for exporting conversation data to CCAI Insights.</p>
+<p class="firstline">Lists Annotations belongs to a dataitem.</p>
 <p class="toc_element">
   <code><a href="#list_next">list_next()</a></code></p>
 <p class="firstline">Retrieves the next page of results.</p>
@@ -96,7 +96,7 @@ <h3>Method Details</h3>
 
 <div class="method">
     <code class="details" id="list">list(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, readMask=None, x__xgafv=None)</code>
-  <pre>Lists Annotations belongs to a dataitem This RPC is only available in InternalDatasetService. It is only used for exporting conversation data to CCAI Insights.
+  <pre>Lists Annotations belongs to a dataitem.
 
 Args:
   parent: string, Required. The resource name of the DataItem to list Annotations from. Format: `projects/{project}/locations/{location}/datasets/{dataset}/dataItems/{data_item}` (required)

docs/dyn/aiplatform_v1.projects.locations.endpoints.html

@@ -524,6 +524,14 @@ <h3>Method Details</h3>
               &quot;vectorDistanceThreshold&quot;: 3.14, # Optional. Only returns contexts with vector distance smaller than the threshold.
               &quot;vectorSimilarityThreshold&quot;: 3.14, # Optional. Only returns contexts with vector similarity larger than the threshold.
             },
+            &quot;ranking&quot;: { # Config for ranking and reranking. # Optional. Config for ranking and reranking.
+              &quot;llmRanker&quot;: { # Config for LlmRanker. # Optional. Config for LlmRanker.
+                &quot;modelName&quot;: &quot;A String&quot;, # Optional. The model name used for ranking. Format: `gemini-1.5-pro`
+              },
+              &quot;rankService&quot;: { # Config for Rank Service. # Optional. Config for Rank Service.
+                &quot;modelName&quot;: &quot;A String&quot;, # Optional. The model name of the rank service. Format: `semantic-ranker-512@latest`
+              },
+            },
             &quot;topK&quot;: 42, # Optional. The number of contexts to retrieve.
           },
           &quot;similarityTopK&quot;: 42, # Optional. Number of top k results to return from the selected corpora.
@@ -1774,6 +1782,14 @@ <h3>Method Details</h3>
               &quot;vectorDistanceThreshold&quot;: 3.14, # Optional. Only returns contexts with vector distance smaller than the threshold.
               &quot;vectorSimilarityThreshold&quot;: 3.14, # Optional. Only returns contexts with vector similarity larger than the threshold.
             },
+            &quot;ranking&quot;: { # Config for ranking and reranking. # Optional. Config for ranking and reranking.
+              &quot;llmRanker&quot;: { # Config for LlmRanker. # Optional. Config for LlmRanker.
+                &quot;modelName&quot;: &quot;A String&quot;, # Optional. The model name used for ranking. Format: `gemini-1.5-pro`
+              },
+              &quot;rankService&quot;: { # Config for Rank Service. # Optional. Config for Rank Service.
+                &quot;modelName&quot;: &quot;A String&quot;, # Optional. The model name of the rank service. Format: `semantic-ranker-512@latest`
+              },
+            },
             &quot;topK&quot;: 42, # Optional. The number of contexts to retrieve.
           },
           &quot;similarityTopK&quot;: 42, # Optional. Number of top k results to return from the selected corpora.
@@ -1865,6 +1881,7 @@ <h3>Method Details</h3>
               &quot;uri&quot;: &quot;A String&quot;, # URI reference of the attribution.
             },
             &quot;web&quot;: { # Chunk from the web. # Grounding chunk from the web.
+              &quot;domain&quot;: &quot;A String&quot;, # Domain of the (original) URI.
               &quot;title&quot;: &quot;A String&quot;, # Title of the chunk.
               &quot;uri&quot;: &quot;A String&quot;, # URI reference of the chunk.
             },
@@ -3778,6 +3795,14 @@ <h3>Method Details</h3>
               &quot;vectorDistanceThreshold&quot;: 3.14, # Optional. Only returns contexts with vector distance smaller than the threshold.
               &quot;vectorSimilarityThreshold&quot;: 3.14, # Optional. Only returns contexts with vector similarity larger than the threshold.
             },
+            &quot;ranking&quot;: { # Config for ranking and reranking. # Optional. Config for ranking and reranking.
+              &quot;llmRanker&quot;: { # Config for LlmRanker. # Optional. Config for LlmRanker.
+                &quot;modelName&quot;: &quot;A String&quot;, # Optional. The model name used for ranking. Format: `gemini-1.5-pro`
+              },
+              &quot;rankService&quot;: { # Config for Rank Service. # Optional. Config for Rank Service.
+                &quot;modelName&quot;: &quot;A String&quot;, # Optional. The model name of the rank service. Format: `semantic-ranker-512@latest`
+              },
+            },
             &quot;topK&quot;: 42, # Optional. The number of contexts to retrieve.
           },
           &quot;similarityTopK&quot;: 42, # Optional. Number of top k results to return from the selected corpora.
@@ -3869,6 +3894,7 @@ <h3>Method Details</h3>
               &quot;uri&quot;: &quot;A String&quot;, # URI reference of the attribution.
             },
             &quot;web&quot;: { # Chunk from the web. # Grounding chunk from the web.
+              &quot;domain&quot;: &quot;A String&quot;, # Domain of the (original) URI.
               &quot;title&quot;: &quot;A String&quot;, # Title of the chunk.
               &quot;uri&quot;: &quot;A String&quot;, # URI reference of the chunk.
             },