feat: Provide docs for using invoke method.

PiperOrigin-RevId: 783904724

Author: vertex-sdk-bot

samples/model-builder/invoke_direct_deployed_model_inference_tabular_sample.py

@@ -0,0 +1,53 @@
+# Copyright 2025 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# https://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import json
+from typing import Dict, Any
+
+from google.cloud import aiplatform
+
+
+# [START aiplatform_sdk_invoke_direct_deployed_model_inference_tabular_sample]
+def invoke_direct_deployed_model_inference_tabular_sample(
+ project: str,
+ location: str,
+ endpoint_id: str,
+ request_path: str,
+ http_request_body: Dict[str, Any],
+ deployed_model_id: str,
+ stream: bool = False,
+):
+ aiplatform.init(project=project, location=location)
+
+ dedicated_endpoint = aiplatform.Endpoint(endpoint_id)
+ if stream:
+ for chunk in dedicated_endpoint.invoke(
+ request_path=request_path,
+ body=json.dumps(http_request_body).encode("utf-8"),
+ headers={"Content-Type": "application/json"},
+ deployed_model_id=deployed_model_id,
+ stream=True,
+ ):
+ print(chunk)
+ else:
+ response = dedicated_endpoint.invoke(
+ request_path=request_path,
+ body=json.dumps(http_request_body).encode("utf-8"),
+ headers={"Content-Type": "application/json"},
+ deployed_model_id=deployed_model_id,
+ )
+ print(response)
+
+
+# [END aiplatform_sdk_invoke_direct_deployed_model_inference_tabular_sample]

samples/model-builder/invoke_tabular_sample.py

@@ -0,0 +1,50 @@
+# Copyright 2025 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# https://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import json
+from typing import Dict, Any
+
+from google.cloud import aiplatform
+
+
+# [START aiplatform_sdk_invoke_tabular_sample]
+def invoke_tabular_sample(
+ project: str,
+ location: str,
+ endpoint_id: str,
+ request_path: str,
+ http_request_body: Dict[str, Any],
+ stream: bool = False,
+):
+ aiplatform.init(project=project, location=location)
+
+ dedicated_endpoint = aiplatform.Endpoint(endpoint_id)
+ if stream:
+ for chunk in dedicated_endpoint.invoke(
+ request_path=request_path,
+ body=json.dumps(http_request_body).encode("utf-8"),
+ headers={"Content-Type": "application/json"},
+ stream=True,
+ ):
+ print(chunk)
+ else:
+ response = dedicated_endpoint.invoke(
+ request_path=request_path,
+ body=json.dumps(http_request_body).encode("utf-8"),
+ headers={"Content-Type": "application/json"},
+ )
+ print(response)
+
+
+# [END aiplatform_sdk_invoke_tabular_sample]