feat(firebaseml): update the api

#### firebaseml:v2beta The following keys were added: - schemas.GoogleCloudAiplatformV1beta1GenerationConfig.properties.mediaResolution.type (Total Keys: 1) - schemas.GoogleCloudAiplatformV1beta1GenerationConfig.properties.responseModalities (Total Keys: 2) - schemas.GoogleCloudAiplatformV1beta1GenerationConfig.properties.speechConfig.$ref (Total Keys: 1) - schemas.GoogleCloudAiplatformV1beta1PrebuiltVoiceConfig (Total Keys: 3) - schemas.GoogleCloudAiplatformV1beta1SpeechConfig (Total Keys: 3) - schemas.GoogleCloudAiplatformV1beta1Tool.properties.googleSearch.$ref (Total Keys: 1) - schemas.GoogleCloudAiplatformV1beta1ToolGoogleSearch (Total Keys: 2) - schemas.GoogleCloudAiplatformV1beta1VoiceConfig (Total Keys: 3)
googleapis · Dec 10, 2024 · ccd8de6 · ccd8de6
1 parent c195e5a
commit ccd8de6
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diff --git a/docs/dyn/firebaseml_v2beta.projects.locations.publishers.models.html b/docs/dyn/firebaseml_v2beta.projects.locations.publishers.models.html
@@ -150,9 +150,13 @@ <h3>Method Details</h3>
     &quot;frequencyPenalty&quot;: 3.14, # Optional. Frequency penalties.
     &quot;logprobs&quot;: 42, # Optional. Logit probabilities.
     &quot;maxOutputTokens&quot;: 42, # Optional. The maximum number of output tokens to generate per message.
+    &quot;mediaResolution&quot;: &quot;A String&quot;, # Optional. If specified, the media resolution specified will be used.
     &quot;presencePenalty&quot;: 3.14, # Optional. Positive penalties.
     &quot;responseLogprobs&quot;: True or False, # Optional. If true, export the logprobs results in response.
     &quot;responseMimeType&quot;: &quot;A String&quot;, # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
+    &quot;responseModalities&quot;: [ # Optional. The modalities of the response.
+      &quot;A String&quot;,
+    ],
     &quot;responseSchema&quot;: { # Schema is used to define the format of input/output data. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema-object). More fields may be added in the future as needed. # Optional. The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). If set, a compatible response_mime_type must also be set. Compatible mimetypes: `application/json`: Schema for JSON response.
       &quot;anyOf&quot;: [ # Optional. The value should be validated against any (one or more) of the subschemas in the list.
         # Object with schema name: GoogleCloudAiplatformV1beta1Schema
@@ -196,6 +200,13 @@ <h3>Method Details</h3>
       },
     },
     &quot;seed&quot;: 42, # Optional. Seed.
+    &quot;speechConfig&quot;: { # The speech generation config. # Optional. The speech generation config.
+      &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.
+        },
+      },
+    },
     &quot;stopSequences&quot;: [ # Optional. Stop sequences.
       &quot;A String&quot;,
     ],
@@ -325,6 +336,8 @@ <h3>Method Details</h3>
           },
         },
       ],
+      &quot;googleSearch&quot;: { # GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. # Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.
+      },
       &quot;googleSearchRetrieval&quot;: { # Tool to retrieve public web data for grounding, powered by Google. # Optional. GoogleSearchRetrieval tool type. Specialized retrieval tool that is powered by Google search.
         &quot;dynamicRetrievalConfig&quot;: { # Describes the options to customize dynamic retrieval. # Specifies the dynamic retrieval configuration for the given source.
           &quot;dynamicThreshold&quot;: 3.14, # Optional. The threshold to be used in dynamic retrieval. If not set, a system default value is used.
@@ -448,9 +461,13 @@ <h3>Method Details</h3>
     &quot;frequencyPenalty&quot;: 3.14, # Optional. Frequency penalties.
     &quot;logprobs&quot;: 42, # Optional. Logit probabilities.
     &quot;maxOutputTokens&quot;: 42, # Optional. The maximum number of output tokens to generate per message.
+    &quot;mediaResolution&quot;: &quot;A String&quot;, # Optional. If specified, the media resolution specified will be used.
     &quot;presencePenalty&quot;: 3.14, # Optional. Positive penalties.
     &quot;responseLogprobs&quot;: True or False, # Optional. If true, export the logprobs results in response.
     &quot;responseMimeType&quot;: &quot;A String&quot;, # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
+    &quot;responseModalities&quot;: [ # Optional. The modalities of the response.
+      &quot;A String&quot;,
+    ],
     &quot;responseSchema&quot;: { # Schema is used to define the format of input/output data. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema-object). More fields may be added in the future as needed. # Optional. The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). If set, a compatible response_mime_type must also be set. Compatible mimetypes: `application/json`: Schema for JSON response.
       &quot;anyOf&quot;: [ # Optional. The value should be validated against any (one or more) of the subschemas in the list.
         # Object with schema name: GoogleCloudAiplatformV1beta1Schema
@@ -494,6 +511,13 @@ <h3>Method Details</h3>
       },
     },
     &quot;seed&quot;: 42, # Optional. Seed.
+    &quot;speechConfig&quot;: { # The speech generation config. # Optional. The speech generation config.
+      &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.
+        },
+      },
+    },
     &quot;stopSequences&quot;: [ # Optional. Stop sequences.
       &quot;A String&quot;,
     ],
@@ -637,6 +661,8 @@ <h3>Method Details</h3>
           },
         },
       ],
+      &quot;googleSearch&quot;: { # GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. # Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.
+      },
       &quot;googleSearchRetrieval&quot;: { # Tool to retrieve public web data for grounding, powered by Google. # Optional. GoogleSearchRetrieval tool type. Specialized retrieval tool that is powered by Google search.
         &quot;dynamicRetrievalConfig&quot;: { # Describes the options to customize dynamic retrieval. # Specifies the dynamic retrieval configuration for the given source.
           &quot;dynamicThreshold&quot;: 3.14, # Optional. The threshold to be used in dynamic retrieval. If not set, a system default value is used.
@@ -917,9 +943,13 @@ <h3>Method Details</h3>
     &quot;frequencyPenalty&quot;: 3.14, # Optional. Frequency penalties.
     &quot;logprobs&quot;: 42, # Optional. Logit probabilities.
     &quot;maxOutputTokens&quot;: 42, # Optional. The maximum number of output tokens to generate per message.
+    &quot;mediaResolution&quot;: &quot;A String&quot;, # Optional. If specified, the media resolution specified will be used.
     &quot;presencePenalty&quot;: 3.14, # Optional. Positive penalties.
     &quot;responseLogprobs&quot;: True or False, # Optional. If true, export the logprobs results in response.
     &quot;responseMimeType&quot;: &quot;A String&quot;, # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
+    &quot;responseModalities&quot;: [ # Optional. The modalities of the response.
+      &quot;A String&quot;,
+    ],
     &quot;responseSchema&quot;: { # Schema is used to define the format of input/output data. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema-object). More fields may be added in the future as needed. # Optional. The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). If set, a compatible response_mime_type must also be set. Compatible mimetypes: `application/json`: Schema for JSON response.
       &quot;anyOf&quot;: [ # Optional. The value should be validated against any (one or more) of the subschemas in the list.
         # Object with schema name: GoogleCloudAiplatformV1beta1Schema
@@ -963,6 +993,13 @@ <h3>Method Details</h3>
       },
     },
     &quot;seed&quot;: 42, # Optional. Seed.
+    &quot;speechConfig&quot;: { # The speech generation config. # Optional. The speech generation config.
+      &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.
+        },
+      },
+    },
     &quot;stopSequences&quot;: [ # Optional. Stop sequences.
       &quot;A String&quot;,
     ],
@@ -1106,6 +1143,8 @@ <h3>Method Details</h3>
           },
         },
       ],
+      &quot;googleSearch&quot;: { # GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. # Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.
+      },
       &quot;googleSearchRetrieval&quot;: { # Tool to retrieve public web data for grounding, powered by Google. # Optional. GoogleSearchRetrieval tool type. Specialized retrieval tool that is powered by Google search.
         &quot;dynamicRetrievalConfig&quot;: { # Describes the options to customize dynamic retrieval. # Specifies the dynamic retrieval configuration for the given source.
           &quot;dynamicThreshold&quot;: 3.14, # Optional. The threshold to be used in dynamic retrieval. If not set, a system default value is used.

diff --git a/googleapiclient/discovery_cache/documents/firebaseml.v2beta.json b/googleapiclient/discovery_cache/documents/firebaseml.v2beta.json
@@ -206,7 +206,7 @@
 }
 }
 },
-"revision": "20241117",
+"revision": "20241204",
 "rootUrl": "https://firebaseml.googleapis.com/",
 "schemas": {
 "Date": {
@@ -812,6 +812,22 @@
 "format": "int32",
 "type": "integer"
 },
+"mediaResolution": {
+"description": "Optional. If specified, the media resolution specified will be used.",
+"enum": [
+"MEDIA_RESOLUTION_UNSPECIFIED",
+"MEDIA_RESOLUTION_LOW",
+"MEDIA_RESOLUTION_MEDIUM",
+"MEDIA_RESOLUTION_HIGH"
+],
+"enumDescriptions": [
+"Media resolution has not been set.",
+"Media resolution set to low (64 tokens).",
+"Media resolution set to medium (256 tokens).",
+"Media resolution set to high (zoomed reframing with 256 tokens)."
+],
+"type": "string"
+},
 "presencePenalty": {
 "description": "Optional. Positive penalties.",
 "format": "float",
@@ -825,6 +841,25 @@
 "description": "Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.",
 "type": "string"
 },
+"responseModalities": {
+"description": "Optional. The modalities of the response.",
+"items": {
+"enum": [
+"MODALITY_UNSPECIFIED",
+"TEXT",
+"IMAGE",
+"AUDIO"
+],
+"enumDescriptions": [
+"Unspecified modality. Will be processed as text.",
+"Text modality.",
+"Image modality.",
+"Audio modality."
+],
+"type": "string"
+},
+"type": "array"
+},
 "responseSchema": {
 "$ref": "GoogleCloudAiplatformV1beta1Schema",
 "description": "Optional. The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). If set, a compatible response_mime_type must also be set. Compatible mimetypes: `application/json`: Schema for JSON response."
@@ -838,6 +873,10 @@
 "format": "int32",
 "type": "integer"
 },
+"speechConfig": {
+"$ref": "GoogleCloudAiplatformV1beta1SpeechConfig",
+"description": "Optional. The speech generation config."
+},
 "stopSequences": {
 "description": "Optional. Stop sequences.",
 "items": {
@@ -1138,6 +1177,17 @@
 },
 "type": "object"
 },
+"GoogleCloudAiplatformV1beta1PrebuiltVoiceConfig": {
+"description": "The configuration for the prebuilt speaker to use.",
+"id": "GoogleCloudAiplatformV1beta1PrebuiltVoiceConfig",
+"properties": {
+"voiceName": {
+"description": "The name of the preset voice to use.",
+"type": "string"
+}
+},
+"type": "object"
+},
 "GoogleCloudAiplatformV1beta1RagRetrievalConfig": {
 "description": "Specifies the context retrieval config.",
 "id": "GoogleCloudAiplatformV1beta1RagRetrievalConfig",
@@ -1590,6 +1640,17 @@
 },
 "type": "object"
 },
+"GoogleCloudAiplatformV1beta1SpeechConfig": {
+"description": "The speech generation config.",
+"id": "GoogleCloudAiplatformV1beta1SpeechConfig",
+"properties": {
+"voiceConfig": {
+"$ref": "GoogleCloudAiplatformV1beta1VoiceConfig",
+"description": "The configuration for the speaker to use."
+}
+},
+"type": "object"
+},
 "GoogleCloudAiplatformV1beta1Tool": {
 "description": "Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).",
 "id": "GoogleCloudAiplatformV1beta1Tool",
@@ -1605,6 +1666,10 @@
 },
 "type": "array"
 },
+"googleSearch": {
+"$ref": "GoogleCloudAiplatformV1beta1ToolGoogleSearch",
+"description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google."
+},
 "googleSearchRetrieval": {
 "$ref": "GoogleCloudAiplatformV1beta1GoogleSearchRetrieval",
 "description": "Optional. GoogleSearchRetrieval tool type. Specialized retrieval tool that is powered by Google search."
@@ -1633,6 +1698,12 @@
 },
 "type": "object"
 },
+"GoogleCloudAiplatformV1beta1ToolGoogleSearch": {
+"description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.",
+"id": "GoogleCloudAiplatformV1beta1ToolGoogleSearch",
+"properties": {},
+"type": "object"
+},
 "GoogleCloudAiplatformV1beta1VertexAISearch": {
 "description": "Retrieve from Vertex AI Search datastore for grounding. See https://cloud.google.com/products/agent-builder",
 "id": "GoogleCloudAiplatformV1beta1VertexAISearch",
@@ -1717,6 +1788,17 @@
 },
 "type": "object"
 },
+"GoogleCloudAiplatformV1beta1VoiceConfig": {
+"description": "The configuration for the voice to use.",
+"id": "GoogleCloudAiplatformV1beta1VoiceConfig",
+"properties": {
+"prebuiltVoiceConfig": {
+"$ref": "GoogleCloudAiplatformV1beta1PrebuiltVoiceConfig",
+"description": "The configuration for the prebuilt voice to use."
+}
+},
+"type": "object"
+},
 "ModelOperationMetadata": {
 "description": "This is returned in the longrunning operations for create/update.",
 "id": "ModelOperationMetadata",