You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: docs/dyn/admin_directory_v1.customer.devices.chromeos.commands.html
+1-1Lines changed: 1 addition & 1 deletion
Original file line number
Diff line number
Diff line change
@@ -106,7 +106,7 @@ <h3>Method Details</h3>
106
106
"commandExpireTime": "A String", # The time at which the command will expire. If the device doesn't execute the command within this time the command will become expired.
107
107
"commandId": "A String", # Unique ID of a device command.
108
108
"commandResult": { # The result of executing a command. # The result of the command execution.
109
-
"commandResultPayload": "A String", # The payload for the command result. The following commands respond with a payload: * `DEVICE_START_CRD_SESSION`: Payload is a stringified JSON object in the form: { "url": url }. The URL provides a link to the Chrome Remote Desktop session.
109
+
"commandResultPayload": "A String", # The payload for the command result. The following commands respond with a payload: * `DEVICE_START_CRD_SESSION`: Payload is a stringified JSON object in the form: { "url": url }. The URL provides a link to the Chrome Remote Desktop session. * `FETCH_CRD_AVAILABILITY_INFO`: Payload is a stringified JSON object in the form: { "deviceIdleTimeInSeconds": number, "userSessionType": string, "remoteSupportAvailability": string, "remoteAccessAvailability": string }. The "remoteSupportAvailability" field is set to "AVAILABLE" if `shared` CRD session to the device is available. The "remoteAccessAvailability" field is set to "AVAILABLE" if `private` CRD session to the device is available.
110
110
"errorMessage": "A String", # The error message with a short explanation as to why the command failed. Only present if the command failed.
111
111
"executeTime": "A String", # The time at which the command was executed or failed to execute.
112
112
"result": "A String", # The result of the command.
Copy file name to clipboardExpand all lines: docs/dyn/aiplatform_v1.endpoints.html
+9Lines changed: 9 additions & 0 deletions
Original file line number
Diff line number
Diff line change
@@ -314,6 +314,7 @@ <h3>Method Details</h3>
314
314
],
315
315
"temperature": 3.14, # Optional. Controls the randomness of predictions.
316
316
"thinkingConfig": { # Config for thinking features. # Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.
317
+
"includeThoughts": True or False, # Optional. Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.
317
318
"thinkingBudget": 42, # Optional. Indicates the thinking budget in tokens. This is only applied when enable_thinking is true.
318
319
},
319
320
"topK": 3.14, # Optional. If specified, top-k sampling will be used.
@@ -468,6 +469,8 @@ <h3>Method Details</h3>
468
469
"vertexAiSearch": { # 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.
469
470
"datastore": "A String", # Optional. Fully-qualified Vertex AI Search data store resource ID. Format: `projects/{project}/locations/{location}/collections/{collection}/dataStores/{dataStore}`
"filter": "A String", # Optional. Filter strings to be passed to the search API.
473
+
"maxResults": 42, # Optional. Number of search results to return per query. The default value is 10. The maximumm allowed value is 10.
471
474
},
472
475
"vertexRagStore": { # Retrieve from Vertex RAG Store for grounding. # Set to use data source powered by Vertex RAG store. User data is uploaded via the VertexRagDataService.
473
476
"ragResources": [ # 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.
@@ -651,6 +654,7 @@ <h3>Method Details</h3>
651
654
],
652
655
"temperature": 3.14, # Optional. Controls the randomness of predictions.
653
656
"thinkingConfig": { # Config for thinking features. # Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.
657
+
"includeThoughts": True or False, # Optional. Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.
654
658
"thinkingBudget": 42, # Optional. Indicates the thinking budget in tokens. This is only applied when enable_thinking is true.
655
659
},
656
660
"topK": 3.14, # Optional. If specified, top-k sampling will be used.
@@ -826,6 +830,8 @@ <h3>Method Details</h3>
826
830
"vertexAiSearch": { # 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.
827
831
"datastore": "A String", # Optional. Fully-qualified Vertex AI Search data store resource ID. Format: `projects/{project}/locations/{location}/collections/{collection}/dataStores/{dataStore}`
"filter": "A String", # Optional. Filter strings to be passed to the search API.
834
+
"maxResults": 42, # Optional. Number of search results to return per query. The default value is 10. The maximumm allowed value is 10.
829
835
},
830
836
"vertexRagStore": { # Retrieve from Vertex RAG Store for grounding. # Set to use data source powered by Vertex RAG store. User data is uploaded via the VertexRagDataService.
831
837
"ragResources": [ # 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.
@@ -1232,6 +1238,7 @@ <h3>Method Details</h3>
1232
1238
],
1233
1239
"temperature": 3.14, # Optional. Controls the randomness of predictions.
1234
1240
"thinkingConfig": { # Config for thinking features. # Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.
1241
+
"includeThoughts": True or False, # Optional. Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.
1235
1242
"thinkingBudget": 42, # Optional. Indicates the thinking budget in tokens. This is only applied when enable_thinking is true.
1236
1243
},
1237
1244
"topK": 3.14, # Optional. If specified, top-k sampling will be used.
@@ -1407,6 +1414,8 @@ <h3>Method Details</h3>
1407
1414
"vertexAiSearch": { # 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.
1408
1415
"datastore": "A String", # Optional. Fully-qualified Vertex AI Search data store resource ID. Format: `projects/{project}/locations/{location}/collections/{collection}/dataStores/{dataStore}`
"filter": "A String", # Optional. Filter strings to be passed to the search API.
1418
+
"maxResults": 42, # Optional. Number of search results to return per query. The default value is 10. The maximumm allowed value is 10.
1410
1419
},
1411
1420
"vertexRagStore": { # Retrieve from Vertex RAG Store for grounding. # Set to use data source powered by Vertex RAG store. User data is uploaded via the VertexRagDataService.
1412
1421
"ragResources": [ # 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.
0 commit comments