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Copy file name to clipboardExpand all lines: docs/dyn/admin_directory_v1.customer.devices.chromeos.html
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{ # A request for issuing a command.
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"commandType": "A String", # The type of command.
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"payload": "A String", # The payload for the command, provide it only if command supports it. The following commands support adding payload: * `SET_VOLUME`: Payload is a stringified JSON object in the form: { "volume": 50 }. The volume has to be an integer in the range [0,100]. * `DEVICE_START_CRD_SESSION`: Payload is optionally a stringified JSON object in the form: { "ackedUserPresence": true }. `ackedUserPresence` is a boolean. By default, `ackedUserPresence` is set to `false`. To start a Chrome Remote Desktop session for an active device, set `ackedUserPresence` to `true`.
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"payload": "A String", # The payload for the command, provide it only if command supports it. The following commands support adding payload: * `SET_VOLUME`: Payload is a stringified JSON object in the form: { "volume": 50 }. The volume has to be an integer in the range [0,100]. * `DEVICE_START_CRD_SESSION`: Payload is optionally a stringified JSON object in the form: { "ackedUserPresence": true }. `ackedUserPresence` is a boolean. By default, `ackedUserPresence` is set to `false`. To start a Chrome Remote Desktop session for an active device, set `ackedUserPresence` to `true`. * `REBOOT`: Payload is a stringified JSON object in the form: { "user_session_delay_seconds": 300 }. The delay has to be in the range [0, 300].
Copy file name to clipboardExpand all lines: docs/dyn/admin_reports_v1.activities.html
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filters: string, The `filters` query string is a comma-separated list composed of event parameters manipulated by relational operators. Event parameters are in the form `{parameter1 name}{relational operator}{parameter1 value},{parameter2 name}{relational operator}{parameter2 value},...` These event parameters are associated with a specific `eventName`. An empty report is returned if the request's parameter doesn't belong to the `eventName`. For more information about the available `eventName` fields for each application and their associated parameters, go to the [ApplicationName](#applicationname) table, then click through to the Activity Events page in the Appendix for the application you want. In the following Drive activity examples, the returned list consists of all `edit` events where the `doc_id` parameter value matches the conditions defined by the relational operator. In the first example, the request returns all edited documents with a `doc_id` value equal to `12345`. In the second example, the report returns any edited documents where the `doc_id` value is not equal to `98765`. The `<>` operator is URL-encoded in the request's query string (`%3C%3E`): ``` GET...&eventName=edit&filters=doc_id==12345 GET...&eventName=edit&filters=doc_id%3C%3E98765 ``` A `filters` query supports these relational operators: * `==`—'equal to'. * `<>`—'not equal to'. Must be URL-encoded (%3C%3E). * `<`—'less than'. Must be URL-encoded (%3C). * `<=`—'less than or equal to'. Must be URL-encoded (%3C=). * `>`—'greater than'. Must be URL-encoded (%3E). * `>=`—'greater than or equal to'. Must be URL-encoded (%3E=). **Note:** The API doesn't accept multiple values of the same parameter. If a parameter is supplied more than once in the API request, the API only accepts the last value of that parameter. In addition, if an invalid parameter is supplied in the API request, the API ignores that parameter and returns the response corresponding to the remaining valid parameters. If no parameters are requested, all parameters are returned.
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groupIdFilter: string, Comma separated group ids (obfuscated) on which user activities are filtered, i.e. the response will contain activities for only those users that are a part of at least one of the group ids mentioned here. Format: "id:abc123,id:xyz456"
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maxResults: integer, Determines how many activity records are shown on each response page. For example, if the request sets `maxResults=1` and the report has two activities, the report has two pages. The response's `nextPageToken` property has the token to the second page. The `maxResults` query string is optional in the request. The default value is 1000.
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orgUnitID: string, ID of the organizational unit to report on. Activity records will be shown only for users who belong to the specified organizational unit. Data before Dec 17, 2018 doesn't appear in the filtered results.
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orgUnitID: string, `Deprecated`. This field is deprecated and is no longer supported. ID of the organizational unit to report on. Activity records will be shown only for users who belong to the specified organizational unit. Data before Dec 17, 2018 doesn't appear in the filtered results.
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pageToken: string, The token to specify next page. A report with multiple pages has a `nextPageToken` property in the response. In your follow-on request getting the next page of the report, enter the `nextPageToken` value in the `pageToken` query string.
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startTime: string, Sets the beginning of the range of time shown in the report. The date is in the RFC 3339 format, for example 2010-10-28T10:26:35.000Z. The report returns all activities from `startTime` until `endTime`. The `startTime` must be before the `endTime` (if specified) and the current time when the request is made, or the API returns an error.
Copy file name to clipboardExpand all lines: docs/dyn/aiplatform_v1.projects.locations.datasets.datasetVersions.html
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{ # Describes the dataset version.
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"bigQueryDatasetName": "A String", # Output only. Name of the associated BigQuery dataset.
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"createTime": "A String", # Output only. Timestamp when this DatasetVersion was created.
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"displayName": "A String", # The user-defined name of the DatasetVersion. The name can be up to 128 characters long and can consist of any UTF-8 characters.
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"etag": "A String", # Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
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"metadata": "", # Required. Additional information about the DatasetVersion.
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"name": "A String", # Output only. The resource name of the DatasetVersion.
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"updateTime": "A String", # Output only. Timestamp when this DatasetVersion was last updated.
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}
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{ # Describes the dataset version.
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"bigQueryDatasetName": "A String", # Output only. Name of the associated BigQuery dataset.
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"createTime": "A String", # Output only. Timestamp when this DatasetVersion was created.
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"displayName": "A String", # The user-defined name of the DatasetVersion. The name can be up to 128 characters long and can consist of any UTF-8 characters.
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"etag": "A String", # Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
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"metadata": "", # Required. Additional information about the DatasetVersion.
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"name": "A String", # Output only. The resource name of the DatasetVersion.
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"updateTime": "A String", # Output only. Timestamp when this DatasetVersion was last updated.
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}</pre>
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{ # Describes the dataset version.
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"bigQueryDatasetName": "A String", # Output only. Name of the associated BigQuery dataset.
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"createTime": "A String", # Output only. Timestamp when this DatasetVersion was created.
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"displayName": "A String", # The user-defined name of the DatasetVersion. The name can be up to 128 characters long and can consist of any UTF-8 characters.
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"etag": "A String", # Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
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"metadata": "", # Required. Additional information about the DatasetVersion.
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"name": "A String", # Output only. The resource name of the DatasetVersion.
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"updateTime": "A String", # Output only. Timestamp when this DatasetVersion was last updated.
Copy file name to clipboardExpand all lines: docs/dyn/aiplatform_v1.projects.locations.endpoints.html
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},
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"tools": [ # Optional. A list of `Tools` the model may use to generate the next 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.
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{ # 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.
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"functionDeclarations": [ # Optional. One or more function declarations to be passed to the model along with the current user query. Model may decide to call a subset of these functions by populating FunctionCall in the response. User should provide a FunctionResponse for each function call in the next turn. Based on the function responses, Model will generate the final response back to the user. Maximum 64 function declarations can be provided.
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{ # 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).
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"functionDeclarations": [ # Optional. Function tool type. One or more function declarations to be passed to the model along with the current user query. Model may decide to call a subset of these functions by populating FunctionCall in the response. User should provide a FunctionResponse for each function call in the next turn. Based on the function responses, Model will generate the final response back to the user. Maximum 64 function declarations can be provided.
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{ # Structured representation of a function declaration as defined by the [OpenAPI 3.0 specification](https://spec.openapis.org/oas/v3.0.3). Included in this declaration are the function name and parameters. This FunctionDeclaration is a representation of a block of code that can be used as a `Tool` by the model and executed by the client.
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"description": "A String", # Optional. Description and purpose of the function. Model uses it to decide how and whether to call the function.
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"name": "A String", # Required. The name of the function to call. Must start with a letter or an underscore. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64.
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},
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"googleSearchRetrieval": { # Tool to retrieve public web data for grounding, powered by Google. # Optional. Specialized retrieval tool that is powered by Google search.
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"disableAttribution": True or False, # Optional. Disable using the result from this tool in detecting grounding attribution. This does not affect how the result is given to the model for generation.
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},
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"retrieval": { # Defines a retrieval tool that model can call to access external knowledge. # Optional. System will always execute the provided retrieval tool(s) to get external knowledge to answer the prompt. Retrieval results are presented to the model for generation.
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"disableAttribution": True or False, # Optional. Disable using the result from this tool in detecting grounding attribution. This does not affect how the result is given to the model for generation.
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"vertexAiSearch": { # Retrieve from Vertex AI Search datastore for grounding. See https://cloud.google.com/vertex-ai-search-and-conversation # Set to use data source powered by Vertex AI Search.
"tools": [ # Optional. A list of `Tools` the model may use to generate the next 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.
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{ # 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.
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"functionDeclarations": [ # Optional. One or more function declarations to be passed to the model along with the current user query. Model may decide to call a subset of these functions by populating FunctionCall in the response. User should provide a FunctionResponse for each function call in the next turn. Based on the function responses, Model will generate the final response back to the user. Maximum 64 function declarations can be provided.
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{ # 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).
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"functionDeclarations": [ # Optional. Function tool type. One or more function declarations to be passed to the model along with the current user query. Model may decide to call a subset of these functions by populating FunctionCall in the response. User should provide a FunctionResponse for each function call in the next turn. Based on the function responses, Model will generate the final response back to the user. Maximum 64 function declarations can be provided.
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{ # Structured representation of a function declaration as defined by the [OpenAPI 3.0 specification](https://spec.openapis.org/oas/v3.0.3). Included in this declaration are the function name and parameters. This FunctionDeclaration is a representation of a block of code that can be used as a `Tool` by the model and executed by the client.
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"description": "A String", # Optional. Description and purpose of the function. Model uses it to decide how and whether to call the function.
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"name": "A String", # Required. The name of the function to call. Must start with a letter or an underscore. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64.
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},
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"googleSearchRetrieval": { # Tool to retrieve public web data for grounding, powered by Google. # Optional. Specialized retrieval tool that is powered by Google search.
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"disableAttribution": True or False, # Optional. Disable using the result from this tool in detecting grounding attribution. This does not affect how the result is given to the model for generation.
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},
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"retrieval": { # Defines a retrieval tool that model can call to access external knowledge. # Optional. System will always execute the provided retrieval tool(s) to get external knowledge to answer the prompt. Retrieval results are presented to the model for generation.
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"disableAttribution": True or False, # Optional. Disable using the result from this tool in detecting grounding attribution. This does not affect how the result is given to the model for generation.
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"vertexAiSearch": { # Retrieve from Vertex AI Search datastore for grounding. See https://cloud.google.com/vertex-ai-search-and-conversation # Set to use data source powered by Vertex AI Search.
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