docs: update doc string to replace Vertex AI with Gemini Enterprise Agent Platform, update method error message to replace Vertex AI with Gemini Enterprise Agent Platform (previously known as Vertex AI), update converter error message to replace Vertex AI with Gemini Enterprise Agent Platform

PiperOrigin-RevId: 900362617

Author: yyyu-google

google/genai/_live_converters.py

@@ -199,7 +199,10 @@ def _FunctionDeclaration_to_vertex(
     )
 
   if getv(from_object, ['behavior']) is not None:
-    raise ValueError('behavior parameter is not supported in Vertex AI.')
+    raise ValueError(
+        'behavior parameter is not supported in Gemini Enterprise Agent'
+        ' Platform.'
+    )
 
   return to_object
 
@@ -317,7 +320,8 @@ def _GenerationConfig_to_vertex(
 
   if getv(from_object, ['enable_enhanced_civic_answers']) is not None:
     raise ValueError(
-        'enable_enhanced_civic_answers parameter is not supported in Vertex AI.'
+        'enable_enhanced_civic_answers parameter is not supported in Gemini'
+        ' Enterprise Agent Platform.'
     )
 
   return to_object
@@ -548,7 +552,8 @@ def _LiveClientRealtimeInput_to_vertex(
 
   if getv(from_object, ['audio_stream_end']) is not None:
     raise ValueError(
-        'audio_stream_end parameter is not supported in Vertex AI.'
+        'audio_stream_end parameter is not supported in Gemini Enterprise Agent'
+        ' Platform.'
     )
 
   if getv(from_object, ['video']) is not None:
@@ -738,7 +743,10 @@ def _LiveClientSetup_to_vertex(
     )
 
   if getv(from_object, ['history_config']) is not None:
-    raise ValueError('history_config parameter is not supported in Vertex AI.')
+    raise ValueError(
+        'history_config parameter is not supported in Gemini Enterprise Agent'
+        ' Platform.'
+    )
 
   if getv(from_object, ['avatar_config']) is not None:
     setv(to_object, ['avatarConfig'], getv(from_object, ['avatar_config']))
@@ -1094,7 +1102,10 @@ def _LiveConnectConfig_to_vertex(
     )
 
   if getv(from_object, ['history_config']) is not None:
-    raise ValueError('history_config parameter is not supported in Vertex AI.')
+    raise ValueError(
+        'history_config parameter is not supported in Gemini Enterprise Agent'
+        ' Platform.'
+    )
 
   if getv(from_object, ['avatar_config']) is not None:
     setv(
@@ -1169,19 +1180,26 @@ def _LiveMusicClientMessage_to_vertex(
 ) -> dict[str, Any]:
   to_object: dict[str, Any] = {}
   if getv(from_object, ['setup']) is not None:
-    raise ValueError('setup parameter is not supported in Vertex AI.')
+    raise ValueError(
+        'setup parameter is not supported in Gemini Enterprise Agent Platform.'
+    )
 
   if getv(from_object, ['client_content']) is not None:
-    raise ValueError('client_content parameter is not supported in Vertex AI.')
+    raise ValueError(
+        'client_content parameter is not supported in Gemini Enterprise Agent'
+        ' Platform.'
+    )
 
   if getv(from_object, ['music_generation_config']) is not None:
     raise ValueError(
-        'music_generation_config parameter is not supported in Vertex AI.'
+        'music_generation_config parameter is not supported in Gemini'
+        ' Enterprise Agent Platform.'
     )
 
   if getv(from_object, ['playback_control']) is not None:
     raise ValueError(
-        'playback_control parameter is not supported in Vertex AI.'
+        'playback_control parameter is not supported in Gemini Enterprise Agent'
+        ' Platform.'
     )
 
   return to_object
@@ -1204,7 +1222,9 @@ def _LiveMusicConnectParameters_to_vertex(
 ) -> dict[str, Any]:
   to_object: dict[str, Any] = {}
   if getv(from_object, ['model']) is not None:
-    raise ValueError('model parameter is not supported in Vertex AI.')
+    raise ValueError(
+        'model parameter is not supported in Gemini Enterprise Agent Platform.'
+    )
 
   return to_object
 
@@ -1231,7 +1251,8 @@ def _LiveMusicSetConfigParameters_to_vertex(
   to_object: dict[str, Any] = {}
   if getv(from_object, ['music_generation_config']) is not None:
     raise ValueError(
-        'music_generation_config parameter is not supported in Vertex AI.'
+        'music_generation_config parameter is not supported in Gemini'
+        ' Enterprise Agent Platform.'
     )
 
   return to_object
@@ -1259,7 +1280,8 @@ def _LiveMusicSetWeightedPromptsParameters_to_vertex(
   to_object: dict[str, Any] = {}
   if getv(from_object, ['weighted_prompts']) is not None:
     raise ValueError(
-        'weighted_prompts parameter is not supported in Vertex AI.'
+        'weighted_prompts parameter is not supported in Gemini Enterprise Agent'
+        ' Platform.'
     )
 
   return to_object
@@ -1601,13 +1623,22 @@ def _Part_to_vertex(
     setv(to_object, ['videoMetadata'], getv(from_object, ['video_metadata']))
 
   if getv(from_object, ['tool_call']) is not None:
-    raise ValueError('tool_call parameter is not supported in Vertex AI.')
+    raise ValueError(
+        'tool_call parameter is not supported in Gemini Enterprise Agent'
+        ' Platform.'
+    )
 
   if getv(from_object, ['tool_response']) is not None:
-    raise ValueError('tool_response parameter is not supported in Vertex AI.')
+    raise ValueError(
+        'tool_response parameter is not supported in Gemini Enterprise Agent'
+        ' Platform.'
+    )
 
   if getv(from_object, ['part_metadata']) is not None:
-    raise ValueError('part_metadata parameter is not supported in Vertex AI.')
+    raise ValueError(
+        'part_metadata parameter is not supported in Gemini Enterprise Agent'
+        ' Platform.'
+    )
 
   return to_object
 
@@ -1628,11 +1659,15 @@ def _ReplicatedVoiceConfig_to_vertex(
     )
 
   if getv(from_object, ['consent_audio']) is not None:
-    raise ValueError('consent_audio parameter is not supported in Vertex AI.')
+    raise ValueError(
+        'consent_audio parameter is not supported in Gemini Enterprise Agent'
+        ' Platform.'
+    )
 
   if getv(from_object, ['voice_consent_signature']) is not None:
     raise ValueError(
-        'voice_consent_signature parameter is not supported in Vertex AI.'
+        'voice_consent_signature parameter is not supported in Gemini'
+        ' Enterprise Agent Platform.'
     )
 
   return to_object
@@ -1794,7 +1829,10 @@ def _Tool_to_vertex(
     setv(to_object, ['computerUse'], getv(from_object, ['computer_use']))
 
   if getv(from_object, ['file_search']) is not None:
-    raise ValueError('file_search parameter is not supported in Vertex AI.')
+    raise ValueError(
+        'file_search parameter is not supported in Gemini Enterprise Agent'
+        ' Platform.'
+    )
 
   if getv(from_object, ['google_search']) is not None:
     setv(to_object, ['googleSearch'], getv(from_object, ['google_search']))
@@ -1840,7 +1878,10 @@ def _Tool_to_vertex(
     setv(to_object, ['urlContext'], getv(from_object, ['url_context']))
 
   if getv(from_object, ['mcp_servers']) is not None:
-    raise ValueError('mcp_servers parameter is not supported in Vertex AI.')
+    raise ValueError(
+        'mcp_servers parameter is not supported in Gemini Enterprise Agent'
+        ' Platform.'
+    )
 
   return to_object
 

google/genai/_tokens_converters.py

@@ -171,7 +171,9 @@ def _CreateAuthTokenParameters_to_vertex(
 ) -> dict[str, Any]:
   to_object: dict[str, Any] = {}
   if getv(from_object, ['config']) is not None:
-    raise ValueError('config parameter is not supported in Vertex AI.')
+    raise ValueError(
+        'config parameter is not supported in Gemini Enterprise Agent Platform.'
+    )
 
   return to_object
 

google/genai/_transformers.py

@@ -1025,8 +1025,8 @@ def t_batch_job_source(
     if client.vertexai:
       if mldev_sources or vertex_sources != 1:
         raise ValueError(
-            'Exactly one of `gcs_uri`, `bigquery_uri`, or `vertex_dataset_name` must be set, other '
-            'sources are not supported in Vertex AI.'
+            'Exactly one of `gcs_uri` or `bigquery_uri`, or `vertex_dataset_name` must be set, other '
+            'sources are not supported in Gemini Enterprise Agent Platform.'
         )
     else:
       if vertex_sources or mldev_sources != 1:

google/genai/batches.py

@@ -165,17 +165,21 @@ def _BatchJobDestination_to_vertex(
     )
 
   if getv(from_object, ['file_name']) is not None:
-    raise ValueError('file_name parameter is not supported in Vertex AI.')
+    raise ValueError(
+        'file_name parameter is not supported in Gemini Enterprise Agent'
+        ' Platform.'
+    )
 
   if getv(from_object, ['inlined_responses']) is not None:
     raise ValueError(
-        'inlined_responses parameter is not supported in Vertex AI.'
+        'inlined_responses parameter is not supported in Gemini Enterprise'
+        ' Agent Platform.'
     )
 
   if getv(from_object, ['inlined_embed_content_responses']) is not None:
     raise ValueError(
-        'inlined_embed_content_responses parameter is not supported in'
-        ' Vertex AI.'
+        'inlined_embed_content_responses parameter is not supported in Gemini'
+        ' Enterprise Agent Platform.'
     )
 
   if getv(from_object, ['vertex_dataset']) is not None:
@@ -276,11 +280,15 @@ def _BatchJobSource_to_vertex(
     )
 
   if getv(from_object, ['file_name']) is not None:
-    raise ValueError('file_name parameter is not supported in Vertex AI.')
+    raise ValueError(
+        'file_name parameter is not supported in Gemini Enterprise Agent'
+        ' Platform.'
+    )
 
   if getv(from_object, ['inlined_requests']) is not None:
     raise ValueError(
-        'inlined_requests parameter is not supported in Vertex AI.'
+        'inlined_requests parameter is not supported in Gemini Enterprise Agent'
+        ' Platform.'
     )
 
   if getv(from_object, ['vertex_dataset_name']) is not None:
@@ -595,7 +603,10 @@ def _CreateBatchJobConfig_to_vertex(
     )
 
   if getv(from_object, ['webhook_config']) is not None:
-    raise ValueError('webhook_config parameter is not supported in Vertex AI.')
+    raise ValueError(
+        'webhook_config parameter is not supported in Gemini Enterprise Agent'
+        ' Platform.'
+    )
 
   return to_object
 
@@ -1847,8 +1858,9 @@ def get(
     Args:
       name (str): A fully-qualified BatchJob resource name or ID.
         Example: "projects/.../locations/.../batchPredictionJobs/456" or "456"
-          when project and location are initialized in the Vertex AI client. Or
-          "batches/abc" using the Gemini Developer AI client.
+          when project and location are initialized in the Gemini Enterprise
+          Agent Platform client. Or "batches/abc" using the Gemini Developer AI
+          client.
 
     Returns:
       A BatchJob object that contains details about the batch job.
@@ -2184,10 +2196,11 @@ def create(
 
     Args:
       model (str): The model to use for the batch job.
-      src: The source of the batch job. Currently Vertex AI supports GCS URI(-s)
-        or BigQuery URI. Example: "gs://path/to/input/data" or
-        "bq://projectId.bqDatasetId.bqTableId". Gemini Developer API supports
-        List of inlined_request, or file name. Example: "files/file_name".
+      src: The source of the batch job. Currently Gemini Enterprise Agent
+        Platform supports GCS URI(-s) or BigQuery URI. Example:
+        "gs://path/to/input/data" or "bq://projectId.bqDatasetId.bqTableId".
+        Gemini Developer API supports List of inlined_request, or file name.
+        Example: "files/file_name".
       config (CreateBatchJobConfig): Optional configuration for the batch job.
 
     Returns:
@@ -2264,7 +2277,10 @@ def create_embeddings(
     )
 
     if self._api_client.vertexai:
-      raise ValueError('Vertex AI does not support batches.create_embeddings.')
+      raise ValueError(
+          'Gemini Enterprise Agent Platform (previously known as Vertex AI)'
+          ' does not support batches.create_embeddings.'
+      )
     else:
       return self._create_embeddings(model=model, src=src, config=config)
 
@@ -2465,8 +2481,9 @@ async def get(
     Args:
       name (str): A fully-qualified BatchJob resource name or ID.
         Example: "projects/.../locations/.../batchPredictionJobs/456" or "456"
-          when project and location are initialized in the Vertex AI client. Or
-          "batches/abc" using the Gemini Developer AI client.
+          when project and location are initialized in the Gemini Enterprise
+          Agent Platform client. Or "batches/abc" using the Gemini Developer AI
+          client.
 
     Returns:
       A BatchJob object that contains details about the batch job.
@@ -2808,10 +2825,11 @@ async def create(
 
     Args:
       model (str): The model to use for the batch job.
-      src: The source of the batch job. Currently Vertex AI supports GCS URI(-s)
-        or BigQuery URI. Example: "gs://path/to/input/data" or
-        "bq://projectId.bqDatasetId.bqTableId". Gemini Develop API supports List
-        of inlined_request, or file name. Example: "files/file_name".
+      src: The source of the batch job. Currently Gemini Enterprise Agent
+        Platform supports GCS URI(-s) or BigQuery URI. Example:
+        "gs://path/to/input/data" or "bq://projectId.bqDatasetId.bqTableId".
+        Gemini Develop API supports List of inlined_request, or file name.
+        Example: "files/file_name".
       config (CreateBatchJobConfig): Optional configuration for the batch job.
 
     Returns:
@@ -2894,7 +2912,10 @@ async def create_embeddings(
       http_options = parameter_model.config.http_options
 
     if self._api_client.vertexai:
-      raise ValueError('Vertex AI does not support batches.create_embeddings.')
+      raise ValueError(
+          'Gemini Enterprise Agent Platform (previously known as Vertex AI)'
+          ' does not support batches.create_embeddings.'
+      )
     else:
       return await self._create_embeddings(model=model, src=src, config=config)