feat(firebaseml): update the api

#### firebaseml:v2beta

The following keys were added:
- schemas.GoogleCloudAiplatformV1beta1VertexAISearch.properties.filter.type (Total Keys: 1)
- schemas.GoogleCloudAiplatformV1beta1VertexAISearch.properties.maxResults (Total Keys: 2)

Author: yoshi-automation

docs/dyn/firebaseml_v2beta.projects.locations.publishers.models.html

@@ -383,6 +383,8 @@ <h3>Method Details</h3>
         &quot;vertexAiSearch&quot;: { # Retrieve from Vertex AI Search datastore or engine for grounding. datastore and engine are mutually exclusive. See https://cloud.google.com/products/agent-builder # Set to use data source powered by Vertex AI Search.
           &quot;datastore&quot;: &quot;A String&quot;, # Optional. Fully-qualified Vertex AI Search data store resource ID. Format: `projects/{project}/locations/{location}/collections/{collection}/dataStores/{dataStore}`
           &quot;engine&quot;: &quot;A String&quot;, # Optional. Fully-qualified Vertex AI Search engine resource ID. Format: `projects/{project}/locations/{location}/collections/{collection}/engines/{engine}`
+          &quot;filter&quot;: &quot;A String&quot;, # Optional. Filter strings to be passed to the search API.
+          &quot;maxResults&quot;: 42, # Optional. Number of search results to return per query. The default value is 10. The maximumm allowed value is 10.
         },
         &quot;vertexRagStore&quot;: { # Retrieve from Vertex RAG Store for grounding. # Set to use data source powered by Vertex RAG store. User data is uploaded via the VertexRagDataService.
           &quot;ragCorpora&quot;: [ # Optional. Deprecated. Please use rag_resources instead.
@@ -756,6 +758,8 @@ <h3>Method Details</h3>
         &quot;vertexAiSearch&quot;: { # Retrieve from Vertex AI Search datastore or engine for grounding. datastore and engine are mutually exclusive. See https://cloud.google.com/products/agent-builder # Set to use data source powered by Vertex AI Search.
           &quot;datastore&quot;: &quot;A String&quot;, # Optional. Fully-qualified Vertex AI Search data store resource ID. Format: `projects/{project}/locations/{location}/collections/{collection}/dataStores/{dataStore}`
           &quot;engine&quot;: &quot;A String&quot;, # Optional. Fully-qualified Vertex AI Search engine resource ID. Format: `projects/{project}/locations/{location}/collections/{collection}/engines/{engine}`
+          &quot;filter&quot;: &quot;A String&quot;, # Optional. Filter strings to be passed to the search API.
+          &quot;maxResults&quot;: 42, # Optional. Number of search results to return per query. The default value is 10. The maximumm allowed value is 10.
         },
         &quot;vertexRagStore&quot;: { # Retrieve from Vertex RAG Store for grounding. # Set to use data source powered by Vertex RAG store. User data is uploaded via the VertexRagDataService.
           &quot;ragCorpora&quot;: [ # Optional. Deprecated. Please use rag_resources instead.
@@ -1322,6 +1326,8 @@ <h3>Method Details</h3>
         &quot;vertexAiSearch&quot;: { # Retrieve from Vertex AI Search datastore or engine for grounding. datastore and engine are mutually exclusive. See https://cloud.google.com/products/agent-builder # Set to use data source powered by Vertex AI Search.
           &quot;datastore&quot;: &quot;A String&quot;, # Optional. Fully-qualified Vertex AI Search data store resource ID. Format: `projects/{project}/locations/{location}/collections/{collection}/dataStores/{dataStore}`
           &quot;engine&quot;: &quot;A String&quot;, # Optional. Fully-qualified Vertex AI Search engine resource ID. Format: `projects/{project}/locations/{location}/collections/{collection}/engines/{engine}`
+          &quot;filter&quot;: &quot;A String&quot;, # Optional. Filter strings to be passed to the search API.
+          &quot;maxResults&quot;: 42, # Optional. Number of search results to return per query. The default value is 10. The maximumm allowed value is 10.
         },
         &quot;vertexRagStore&quot;: { # Retrieve from Vertex RAG Store for grounding. # Set to use data source powered by Vertex RAG store. User data is uploaded via the VertexRagDataService.
           &quot;ragCorpora&quot;: [ # Optional. Deprecated. Please use rag_resources instead.

googleapiclient/discovery_cache/documents/firebaseml.v2beta.json

@@ -206,7 +206,7 @@
 }
 }
 },
-"revision": "20250423",
+"revision": "20250427",
 "rootUrl": "https://firebaseml.googleapis.com/",
 "schemas": {
 "Date": {
@@ -1995,6 +1995,15 @@ true
 "engine": {
 "description": "Optional. Fully-qualified Vertex AI Search engine resource ID. Format: `projects/{project}/locations/{location}/collections/{collection}/engines/{engine}`",
 "type": "string"
+},
+"filter": {
+"description": "Optional. Filter strings to be passed to the search API.",
+"type": "string"
+},
+"maxResults": {
+"description": "Optional. Number of search results to return per query. The default value is 10. The maximumm allowed value is 10.",
+"format": "int32",
+"type": "integer"
 }
 },
 "type": "object"