feat(firebaseml): update the api

#### firebaseml:v2beta

The following keys were deleted:
- schemas.GoogleCloudAiplatformV1beta1GenerationConfigThinkingConfig.properties.enableThinking.type (Total Keys: 1)

The following keys were added:
- schemas.GoogleCloudAiplatformV1beta1SpeechConfig.properties.languageCode.type (Total Keys: 1)

Author: yoshi-automation

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

@@ -120,7 +120,7 @@ <h3>Method Details</h3>
             &quot;mimeType&quot;: &quot;A String&quot;, # Required. The IANA standard MIME type of the source data.
           },
           &quot;functionCall&quot;: { # A predicted [FunctionCall] returned from the model that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing the parameters and their values. # Optional. A predicted [FunctionCall] returned from the model that contains a string representing the [FunctionDeclaration.name] with the parameters and their values.
-            &quot;args&quot;: { # Optional. Required. The function parameters and values in JSON object format. See [FunctionDeclaration.parameters] for parameter details.
+            &quot;args&quot;: { # Optional. The function parameters and values in JSON object format. See [FunctionDeclaration.parameters] for parameter details.
               &quot;a_key&quot;: &quot;&quot;, # Properties of the object.
             },
             &quot;id&quot;: &quot;A String&quot;, # Optional. The unique id of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`.
@@ -204,11 +204,12 @@ <h3>Method Details</h3>
         &quot;modelRoutingPreference&quot;: &quot;A String&quot;, # The model routing preference.
       },
       &quot;manualMode&quot;: { # When manual routing is set, the specified model will be used directly. # Manual routing.
-        &quot;modelName&quot;: &quot;A String&quot;, # The model name to use. Only the public LLM models are accepted. e.g. &#x27;gemini-1.5-pro-001&#x27;.
+        &quot;modelName&quot;: &quot;A String&quot;, # The model name to use. Only the public LLM models are accepted. See [Supported models](https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/inference#supported-models).
       },
     },
     &quot;seed&quot;: 42, # Optional. Seed.
     &quot;speechConfig&quot;: { # The speech generation config. # Optional. The speech generation config.
+      &quot;languageCode&quot;: &quot;A String&quot;, # Optional. Language code (ISO 639. e.g. en-US) for the speech synthesization.
       &quot;voiceConfig&quot;: { # The configuration for the voice to use. # The configuration for the speaker to use.
         &quot;prebuiltVoiceConfig&quot;: { # The configuration for the prebuilt speaker to use. # The configuration for the prebuilt voice to use.
           &quot;voiceName&quot;: &quot;A String&quot;, # The name of the preset voice to use.
@@ -220,7 +221,6 @@ <h3>Method Details</h3>
     ],
     &quot;temperature&quot;: 3.14, # Optional. Controls the randomness of predictions.
     &quot;thinkingConfig&quot;: { # Config for thinking features. # Optional. Config for thinking features. An error will be returned if this field is set for models that don&#x27;t support thinking.
-      &quot;enableThinking&quot;: True or False, # Optional. Indicates whether to enable thinking mode. If true, the model will enable thinking mode.
       &quot;thinkingBudget&quot;: 42, # Optional. Indicates the thinking budget in tokens. This is only applied when enable_thinking is true.
     },
     &quot;topK&quot;: 3.14, # Optional. If specified, top-k sampling will be used.
@@ -247,7 +247,7 @@ <h3>Method Details</h3>
           &quot;mimeType&quot;: &quot;A String&quot;, # Required. The IANA standard MIME type of the source data.
         },
         &quot;functionCall&quot;: { # A predicted [FunctionCall] returned from the model that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing the parameters and their values. # Optional. A predicted [FunctionCall] returned from the model that contains a string representing the [FunctionDeclaration.name] with the parameters and their values.
-          &quot;args&quot;: { # Optional. Required. The function parameters and values in JSON object format. See [FunctionDeclaration.parameters] for parameter details.
+          &quot;args&quot;: { # Optional. The function parameters and values in JSON object format. See [FunctionDeclaration.parameters] for parameter details.
             &quot;a_key&quot;: &quot;&quot;, # Properties of the object.
           },
           &quot;id&quot;: &quot;A String&quot;, # Optional. The unique id of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`.
@@ -392,7 +392,7 @@ <h3>Method Details</h3>
             },
             &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;modelName&quot;: &quot;A String&quot;, # Optional. The model name used for ranking. See [Supported models](https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/inference#supported-models).
               },
               &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`
@@ -457,7 +457,7 @@ <h3>Method Details</h3>
             &quot;mimeType&quot;: &quot;A String&quot;, # Required. The IANA standard MIME type of the source data.
           },
           &quot;functionCall&quot;: { # A predicted [FunctionCall] returned from the model that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing the parameters and their values. # Optional. A predicted [FunctionCall] returned from the model that contains a string representing the [FunctionDeclaration.name] with the parameters and their values.
-            &quot;args&quot;: { # Optional. Required. The function parameters and values in JSON object format. See [FunctionDeclaration.parameters] for parameter details.
+            &quot;args&quot;: { # Optional. The function parameters and values in JSON object format. See [FunctionDeclaration.parameters] for parameter details.
               &quot;a_key&quot;: &quot;&quot;, # Properties of the object.
             },
             &quot;id&quot;: &quot;A String&quot;, # Optional. The unique id of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`.
@@ -541,11 +541,12 @@ <h3>Method Details</h3>
         &quot;modelRoutingPreference&quot;: &quot;A String&quot;, # The model routing preference.
       },
       &quot;manualMode&quot;: { # When manual routing is set, the specified model will be used directly. # Manual routing.
-        &quot;modelName&quot;: &quot;A String&quot;, # The model name to use. Only the public LLM models are accepted. e.g. &#x27;gemini-1.5-pro-001&#x27;.
+        &quot;modelName&quot;: &quot;A String&quot;, # The model name to use. Only the public LLM models are accepted. See [Supported models](https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/inference#supported-models).
       },
     },
     &quot;seed&quot;: 42, # Optional. Seed.
     &quot;speechConfig&quot;: { # The speech generation config. # Optional. The speech generation config.
+      &quot;languageCode&quot;: &quot;A String&quot;, # Optional. Language code (ISO 639. e.g. en-US) for the speech synthesization.
       &quot;voiceConfig&quot;: { # The configuration for the voice to use. # The configuration for the speaker to use.
         &quot;prebuiltVoiceConfig&quot;: { # The configuration for the prebuilt speaker to use. # The configuration for the prebuilt voice to use.
           &quot;voiceName&quot;: &quot;A String&quot;, # The name of the preset voice to use.
@@ -557,7 +558,6 @@ <h3>Method Details</h3>
     ],
     &quot;temperature&quot;: 3.14, # Optional. Controls the randomness of predictions.
     &quot;thinkingConfig&quot;: { # Config for thinking features. # Optional. Config for thinking features. An error will be returned if this field is set for models that don&#x27;t support thinking.
-      &quot;enableThinking&quot;: True or False, # Optional. Indicates whether to enable thinking mode. If true, the model will enable thinking mode.
       &quot;thinkingBudget&quot;: 42, # Optional. Indicates the thinking budget in tokens. This is only applied when enable_thinking is true.
     },
     &quot;topK&quot;: 3.14, # Optional. If specified, top-k sampling will be used.
@@ -590,7 +590,7 @@ <h3>Method Details</h3>
           &quot;mimeType&quot;: &quot;A String&quot;, # Required. The IANA standard MIME type of the source data.
         },
         &quot;functionCall&quot;: { # A predicted [FunctionCall] returned from the model that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing the parameters and their values. # Optional. A predicted [FunctionCall] returned from the model that contains a string representing the [FunctionDeclaration.name] with the parameters and their values.
-          &quot;args&quot;: { # Optional. Required. The function parameters and values in JSON object format. See [FunctionDeclaration.parameters] for parameter details.
+          &quot;args&quot;: { # Optional. The function parameters and values in JSON object format. See [FunctionDeclaration.parameters] for parameter details.
             &quot;a_key&quot;: &quot;&quot;, # Properties of the object.
           },
           &quot;id&quot;: &quot;A String&quot;, # Optional. The unique id of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`.
@@ -750,7 +750,7 @@ <h3>Method Details</h3>
             },
             &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;modelName&quot;: &quot;A String&quot;, # Optional. The model name used for ranking. See [Supported models](https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/inference#supported-models).
               },
               &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`
@@ -811,7 +811,7 @@ <h3>Method Details</h3>
               &quot;mimeType&quot;: &quot;A String&quot;, # Required. The IANA standard MIME type of the source data.
             },
             &quot;functionCall&quot;: { # A predicted [FunctionCall] returned from the model that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing the parameters and their values. # Optional. A predicted [FunctionCall] returned from the model that contains a string representing the [FunctionDeclaration.name] with the parameters and their values.
-              &quot;args&quot;: { # Optional. Required. The function parameters and values in JSON object format. See [FunctionDeclaration.parameters] for parameter details.
+              &quot;args&quot;: { # Optional. The function parameters and values in JSON object format. See [FunctionDeclaration.parameters] for parameter details.
                 &quot;a_key&quot;: &quot;&quot;, # Properties of the object.
               },
               &quot;id&quot;: &quot;A String&quot;, # Optional. The unique id of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`.
@@ -1008,7 +1008,7 @@ <h3>Method Details</h3>
             &quot;mimeType&quot;: &quot;A String&quot;, # Required. The IANA standard MIME type of the source data.
           },
           &quot;functionCall&quot;: { # A predicted [FunctionCall] returned from the model that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing the parameters and their values. # Optional. A predicted [FunctionCall] returned from the model that contains a string representing the [FunctionDeclaration.name] with the parameters and their values.
-            &quot;args&quot;: { # Optional. Required. The function parameters and values in JSON object format. See [FunctionDeclaration.parameters] for parameter details.
+            &quot;args&quot;: { # Optional. The function parameters and values in JSON object format. See [FunctionDeclaration.parameters] for parameter details.
               &quot;a_key&quot;: &quot;&quot;, # Properties of the object.
             },
             &quot;id&quot;: &quot;A String&quot;, # Optional. The unique id of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`.
@@ -1092,11 +1092,12 @@ <h3>Method Details</h3>
         &quot;modelRoutingPreference&quot;: &quot;A String&quot;, # The model routing preference.
       },
       &quot;manualMode&quot;: { # When manual routing is set, the specified model will be used directly. # Manual routing.
-        &quot;modelName&quot;: &quot;A String&quot;, # The model name to use. Only the public LLM models are accepted. e.g. &#x27;gemini-1.5-pro-001&#x27;.
+        &quot;modelName&quot;: &quot;A String&quot;, # The model name to use. Only the public LLM models are accepted. See [Supported models](https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/inference#supported-models).
       },
     },
     &quot;seed&quot;: 42, # Optional. Seed.
     &quot;speechConfig&quot;: { # The speech generation config. # Optional. The speech generation config.
+      &quot;languageCode&quot;: &quot;A String&quot;, # Optional. Language code (ISO 639. e.g. en-US) for the speech synthesization.
       &quot;voiceConfig&quot;: { # The configuration for the voice to use. # The configuration for the speaker to use.
         &quot;prebuiltVoiceConfig&quot;: { # The configuration for the prebuilt speaker to use. # The configuration for the prebuilt voice to use.
           &quot;voiceName&quot;: &quot;A String&quot;, # The name of the preset voice to use.
@@ -1108,7 +1109,6 @@ <h3>Method Details</h3>
     ],
     &quot;temperature&quot;: 3.14, # Optional. Controls the randomness of predictions.
     &quot;thinkingConfig&quot;: { # Config for thinking features. # Optional. Config for thinking features. An error will be returned if this field is set for models that don&#x27;t support thinking.
-      &quot;enableThinking&quot;: True or False, # Optional. Indicates whether to enable thinking mode. If true, the model will enable thinking mode.
       &quot;thinkingBudget&quot;: 42, # Optional. Indicates the thinking budget in tokens. This is only applied when enable_thinking is true.
     },
     &quot;topK&quot;: 3.14, # Optional. If specified, top-k sampling will be used.
@@ -1141,7 +1141,7 @@ <h3>Method Details</h3>
           &quot;mimeType&quot;: &quot;A String&quot;, # Required. The IANA standard MIME type of the source data.
         },
         &quot;functionCall&quot;: { # A predicted [FunctionCall] returned from the model that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing the parameters and their values. # Optional. A predicted [FunctionCall] returned from the model that contains a string representing the [FunctionDeclaration.name] with the parameters and their values.
-          &quot;args&quot;: { # Optional. Required. The function parameters and values in JSON object format. See [FunctionDeclaration.parameters] for parameter details.
+          &quot;args&quot;: { # Optional. The function parameters and values in JSON object format. See [FunctionDeclaration.parameters] for parameter details.
             &quot;a_key&quot;: &quot;&quot;, # Properties of the object.
           },
           &quot;id&quot;: &quot;A String&quot;, # Optional. The unique id of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`.
@@ -1301,7 +1301,7 @@ <h3>Method Details</h3>
             },
             &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;modelName&quot;: &quot;A String&quot;, # Optional. The model name used for ranking. See [Supported models](https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/inference#supported-models).
               },
               &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`
@@ -1362,7 +1362,7 @@ <h3>Method Details</h3>
               &quot;mimeType&quot;: &quot;A String&quot;, # Required. The IANA standard MIME type of the source data.
             },
             &quot;functionCall&quot;: { # A predicted [FunctionCall] returned from the model that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing the parameters and their values. # Optional. A predicted [FunctionCall] returned from the model that contains a string representing the [FunctionDeclaration.name] with the parameters and their values.
-              &quot;args&quot;: { # Optional. Required. The function parameters and values in JSON object format. See [FunctionDeclaration.parameters] for parameter details.
+              &quot;args&quot;: { # Optional. The function parameters and values in JSON object format. See [FunctionDeclaration.parameters] for parameter details.
                 &quot;a_key&quot;: &quot;&quot;, # Properties of the object.
               },
               &quot;id&quot;: &quot;A String&quot;, # Optional. The unique id of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`.

googleapiclient/discovery_cache/documents/firebaseml.v2beta.json

@@ -206,7 +206,7 @@
 }
 }
 },
-"revision": "20250326",
+"revision": "20250416",
 "rootUrl": "https://firebaseml.googleapis.com/",
 "schemas": {
 "Date": {
@@ -577,7 +577,7 @@
 "description": "Properties of the object.",
 "type": "any"
 },
-"description": "Optional. Required. The function parameters and values in JSON object format. See [FunctionDeclaration.parameters] for parameter details.",
+"description": "Optional. The function parameters and values in JSON object format. See [FunctionDeclaration.parameters] for parameter details.",
 "type": "object"
 },
 "id": {
@@ -1076,7 +1076,7 @@
 "id": "GoogleCloudAiplatformV1beta1GenerationConfigRoutingConfigManualRoutingMode",
 "properties": {
 "modelName": {
-"description": "The model name to use. Only the public LLM models are accepted. e.g. 'gemini-1.5-pro-001'.",
+"description": "The model name to use. Only the public LLM models are accepted. See [Supported models](https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/inference#supported-models).",
 "type": "string"
 }
 },
@@ -1086,10 +1086,6 @@
 "description": "Config for thinking features.",
 "id": "GoogleCloudAiplatformV1beta1GenerationConfigThinkingConfig",
 "properties": {
-"enableThinking": {
-"description": "Optional. Indicates whether to enable thinking mode. If true, the model will enable thinking mode.",
-"type": "boolean"
-},
 "thinkingBudget": {
 "description": "Optional. Indicates the thinking budget in tokens. This is only applied when enable_thinking is true.",
 "format": "int32",
@@ -1489,7 +1485,7 @@
 "id": "GoogleCloudAiplatformV1beta1RagRetrievalConfigRankingLlmRanker",
 "properties": {
 "modelName": {
-"description": "Optional. The model name used for ranking. Format: `gemini-1.5-pro`",
+"description": "Optional. The model name used for ranking. See [Supported models](https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/inference#supported-models).",
 "type": "string"
 }
 },
@@ -1572,13 +1568,21 @@
 "HARM_CATEGORY_SEXUALLY_EXPLICIT",
 "HARM_CATEGORY_CIVIC_INTEGRITY"
 ],
+"enumDeprecated": [
+false,
+false,
+false,
+false,
+false,
+true
+],
 "enumDescriptions": [
 "The harm category is unspecified.",
 "The harm category is hate speech.",
 "The harm category is dangerous content.",
 "The harm category is harassment.",
 "The harm category is sexually explicit content.",
-"The harm category is civic integrity."
+"Deprecated: Election filter is not longer supported. The harm category is civic integrity."
 ],
 "readOnly": true,
 "type": "string"
@@ -1650,13 +1654,21 @@
 "HARM_CATEGORY_SEXUALLY_EXPLICIT",
 "HARM_CATEGORY_CIVIC_INTEGRITY"
 ],
+"enumDeprecated": [
+false,
+false,
+false,
+false,
+false,
+true
+],
 "enumDescriptions": [
 "The harm category is unspecified.",
 "The harm category is hate speech.",
 "The harm category is dangerous content.",
 "The harm category is harassment.",
 "The harm category is sexually explicit content.",
-"The harm category is civic integrity."
+"Deprecated: Election filter is not longer supported. The harm category is civic integrity."
 ],
 "type": "string"
 },
@@ -1883,6 +1895,10 @@
 "description": "The speech generation config.",
 "id": "GoogleCloudAiplatformV1beta1SpeechConfig",
 "properties": {
+"languageCode": {
+"description": "Optional. Language code (ISO 639. e.g. en-US) for the speech synthesization.",
+"type": "string"
+},
 "voiceConfig": {
 "$ref": "GoogleCloudAiplatformV1beta1VoiceConfig",
 "description": "The configuration for the speaker to use."