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feat(aiplatform): update the api
#### aiplatform:v1 The following keys were added: - schemas.GoogleCloudAiplatformV1ImportRagFilesConfig.properties.importResultBigquerySink.$ref (Total Keys: 1) - schemas.GoogleCloudAiplatformV1ImportRagFilesConfig.properties.importResultGcsSink.$ref (Total Keys: 1) - schemas.GoogleCloudAiplatformV1ReasoningEngineSpec.properties.agentFramework.type (Total Keys: 1) - schemas.GoogleCloudAiplatformV1VertexAISearch.properties.engine.type (Total Keys: 1) #### aiplatform:v1beta1 The following keys were added: - resources.projects.resources.locations.resources.datasets.methods.assemble (Total Keys: 12) - resources.projects.resources.locations.resources.datasets.methods.assess (Total Keys: 12) - schemas.GoogleCloudAiplatformV1beta1AssembleDataRequest (Total Keys: 3) - schemas.GoogleCloudAiplatformV1beta1AssessDataRequest (Total Keys: 12) - schemas.GoogleCloudAiplatformV1beta1GeminiExample (Total Keys: 15) - schemas.GoogleCloudAiplatformV1beta1GeminiTemplateConfig (Total Keys: 5) - schemas.GoogleCloudAiplatformV1beta1ImportRagFilesConfig.properties.importResultBigquerySink.$ref (Total Keys: 1) - schemas.GoogleCloudAiplatformV1beta1ImportRagFilesConfig.properties.importResultGcsSink.$ref (Total Keys: 1) - schemas.GoogleCloudAiplatformV1beta1ReasoningEngineSpec.properties.agentFramework.type (Total Keys: 1) - schemas.GoogleCloudAiplatformV1beta1VertexAISearch.properties.engine.type (Total Keys: 1)
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docs/dyn/aiplatform_v1.endpoints.html

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&quot;disableAttribution&quot;: True or False, # Optional. Deprecated. This option is no longer supported.
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&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.
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&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}`
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&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}`
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},
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&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.
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&quot;ragResources&quot;: [ # Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.
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&quot;disableAttribution&quot;: True or False, # Optional. Deprecated. This option is no longer supported.
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&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.
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&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}`
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&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}`
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},
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&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.
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&quot;ragResources&quot;: [ # Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.
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&quot;disableAttribution&quot;: True or False, # Optional. Deprecated. This option is no longer supported.
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&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.
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&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}`
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&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}`
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},
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&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.
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&quot;ragResources&quot;: [ # Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.

docs/dyn/aiplatform_v1.projects.locations.cachedContents.html

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&quot;disableAttribution&quot;: True or False, # Optional. Deprecated. This option is no longer supported.
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&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.
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&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}`
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&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}`
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},
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&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.
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&quot;ragResources&quot;: [ # Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.
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&quot;disableAttribution&quot;: True or False, # Optional. Deprecated. This option is no longer supported.
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&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.
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&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}`
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&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}`
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},
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&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.
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&quot;ragResources&quot;: [ # Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.
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&quot;disableAttribution&quot;: True or False, # Optional. Deprecated. This option is no longer supported.
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&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.
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&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}`
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&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}`
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},
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&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.
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&quot;ragResources&quot;: [ # Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.
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&quot;disableAttribution&quot;: True or False, # Optional. Deprecated. This option is no longer supported.
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&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.
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&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}`
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&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}`
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},
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&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.
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&quot;ragResources&quot;: [ # Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.
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&quot;disableAttribution&quot;: True or False, # Optional. Deprecated. This option is no longer supported.
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&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.
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&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}`
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&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}`
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},
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&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.
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&quot;ragResources&quot;: [ # Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.
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&quot;disableAttribution&quot;: True or False, # Optional. Deprecated. This option is no longer supported.
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&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.
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&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}`
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&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}`
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},
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&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.
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&quot;ragResources&quot;: [ # Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.

docs/dyn/aiplatform_v1.projects.locations.endpoints.html

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&quot;disableAttribution&quot;: True or False, # Optional. Deprecated. This option is no longer supported.
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&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.
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&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}`
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&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}`
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},
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&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.
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&quot;ragResources&quot;: [ # Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.
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&quot;disableAttribution&quot;: True or False, # Optional. Deprecated. This option is no longer supported.
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&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.
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&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}`
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&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}`
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},
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&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.
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&quot;ragResources&quot;: [ # Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.
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&quot;disableAttribution&quot;: True or False, # Optional. Deprecated. This option is no longer supported.
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&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.
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&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}`
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&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}`
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},
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&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.
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&quot;ragResources&quot;: [ # Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.

docs/dyn/aiplatform_v1.projects.locations.notebookRuntimeTemplates.html

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&quot;postStartupScriptConfig&quot;: { # Post startup script config. # Optional. Post startup script config.
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&quot;postStartupScript&quot;: &quot;A String&quot;, # Optional. Post startup script to run after runtime is started.
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&quot;postStartupScriptBehavior&quot;: &quot;A String&quot;, # Optional. Post startup script behavior that defines download and execution behavior.
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&quot;postStartupScriptUrl&quot;: &quot;A String&quot;, # Optional. Post startup script url to download. Example: https://bucket/script.sh
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&quot;postStartupScriptUrl&quot;: &quot;A String&quot;, # Optional. Post startup script url to download. Example: `gs://bucket/script.sh`
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},
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},
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&quot;updateTime&quot;: &quot;A String&quot;, # Output only. Timestamp when this NotebookRuntimeTemplate was most recently updated.
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&quot;postStartupScriptConfig&quot;: { # Post startup script config. # Optional. Post startup script config.
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&quot;postStartupScript&quot;: &quot;A String&quot;, # Optional. Post startup script to run after runtime is started.
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&quot;postStartupScriptBehavior&quot;: &quot;A String&quot;, # Optional. Post startup script behavior that defines download and execution behavior.
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&quot;postStartupScriptUrl&quot;: &quot;A String&quot;, # Optional. Post startup script url to download. Example: https://bucket/script.sh
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&quot;postStartupScriptUrl&quot;: &quot;A String&quot;, # Optional. Post startup script url to download. Example: `gs://bucket/script.sh`
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},
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},
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&quot;updateTime&quot;: &quot;A String&quot;, # Output only. Timestamp when this NotebookRuntimeTemplate was most recently updated.
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&quot;postStartupScriptConfig&quot;: { # Post startup script config. # Optional. Post startup script config.
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&quot;postStartupScript&quot;: &quot;A String&quot;, # Optional. Post startup script to run after runtime is started.
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&quot;postStartupScriptBehavior&quot;: &quot;A String&quot;, # Optional. Post startup script behavior that defines download and execution behavior.
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&quot;postStartupScriptUrl&quot;: &quot;A String&quot;, # Optional. Post startup script url to download. Example: https://bucket/script.sh
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&quot;postStartupScriptUrl&quot;: &quot;A String&quot;, # Optional. Post startup script url to download. Example: `gs://bucket/script.sh`
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},
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},
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&quot;updateTime&quot;: &quot;A String&quot;, # Output only. Timestamp when this NotebookRuntimeTemplate was most recently updated.
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&quot;postStartupScriptConfig&quot;: { # Post startup script config. # Optional. Post startup script config.
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&quot;postStartupScript&quot;: &quot;A String&quot;, # Optional. Post startup script to run after runtime is started.
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&quot;postStartupScriptBehavior&quot;: &quot;A String&quot;, # Optional. Post startup script behavior that defines download and execution behavior.
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&quot;postStartupScriptUrl&quot;: &quot;A String&quot;, # Optional. Post startup script url to download. Example: https://bucket/script.sh
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&quot;postStartupScriptUrl&quot;: &quot;A String&quot;, # Optional. Post startup script url to download. Example: `gs://bucket/script.sh`
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},
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},
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&quot;updateTime&quot;: &quot;A String&quot;, # Output only. Timestamp when this NotebookRuntimeTemplate was most recently updated.
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&quot;postStartupScriptConfig&quot;: { # Post startup script config. # Optional. Post startup script config.
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&quot;postStartupScript&quot;: &quot;A String&quot;, # Optional. Post startup script to run after runtime is started.
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&quot;postStartupScriptBehavior&quot;: &quot;A String&quot;, # Optional. Post startup script behavior that defines download and execution behavior.
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&quot;postStartupScriptUrl&quot;: &quot;A String&quot;, # Optional. Post startup script url to download. Example: https://bucket/script.sh
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&quot;postStartupScriptUrl&quot;: &quot;A String&quot;, # Optional. Post startup script url to download. Example: `gs://bucket/script.sh`
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},
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},
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&quot;updateTime&quot;: &quot;A String&quot;, # Output only. Timestamp when this NotebookRuntimeTemplate was most recently updated.

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