Vertex AI API . projects . locations . reasoningEngines

Instance Methods

operations()

Returns the operations Resource.

close()

Close httplib2 connections.

create(parent, body=None, x__xgafv=None)

Creates a reasoning engine.

delete(name, x__xgafv=None)

Deletes a reasoning engine.

get(name, x__xgafv=None)

Gets a reasoning engine.

list(parent, filter=None, pageSize=None, pageToken=None, x__xgafv=None)

Lists reasoning engines in a location.

list_next()

Retrieves the next page of results.

patch(name, body=None, updateMask=None, x__xgafv=None)

Updates a reasoning engine.

query(name, body=None, x__xgafv=None)

Queries using a reasoning engine.

Method Details

close()
Close httplib2 connections.
create(parent, body=None, x__xgafv=None)
Creates a reasoning engine.

Args:
  parent: string, Required. The resource name of the Location to create the ReasoningEngine in. Format: `projects/{project}/locations/{location}` (required)
  body: object, The request body.
    The object takes the form of:

{ # ReasoningEngine provides a customizable runtime for models to determine which actions to take and in which order.
  "createTime": "A String", # Output only. Timestamp when this ReasoningEngine was created.
  "description": "A String", # Optional. The description of the ReasoningEngine.
  "displayName": "A String", # Required. The display name of the ReasoningEngine.
  "etag": "A String", # Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
  "name": "A String", # Identifier. The resource name of the ReasoningEngine.
  "spec": { # ReasoningEngine configurations # Required. Configurations of the ReasoningEngine
    "classMethods": [ # Optional. Declarations for object class methods in OpenAPI specification format.
      {
        "a_key": "", # Properties of the object.
      },
    ],
    "packageSpec": { # User provided package spec like pickled object and package requirements. # Required. User provided package spec of the ReasoningEngine.
      "dependencyFilesGcsUri": "A String", # Optional. The Cloud Storage URI of the dependency files in tar.gz format.
      "pickleObjectGcsUri": "A String", # Optional. The Cloud Storage URI of the pickled python object.
      "pythonVersion": "A String", # Optional. The Python version. Currently support 3.8, 3.9, 3.10, 3.11. If not specified, default value is 3.10.
      "requirementsGcsUri": "A String", # Optional. The Cloud Storage URI of the `requirements.txt` file
    },
  },
  "updateTime": "A String", # Output only. Timestamp when this ReasoningEngine was most recently updated.
}

  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # This resource represents a long-running operation that is the result of a network API call.
  "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
  "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
      {
        "a_key": "", # Properties of the object. Contains field @type with type URL.
      },
    ],
    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
  },
  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
    "a_key": "", # Properties of the object. Contains field @type with type URL.
  },
  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
  "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
    "a_key": "", # Properties of the object. Contains field @type with type URL.
  },
}
delete(name, x__xgafv=None)
Deletes a reasoning engine.

Args:
  name: string, Required. The name of the ReasoningEngine resource to be deleted. Format: `projects/{project}/locations/{location}/reasoningEngines/{reasoning_engine}` (required)
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # This resource represents a long-running operation that is the result of a network API call.
  "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
  "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
      {
        "a_key": "", # Properties of the object. Contains field @type with type URL.
      },
    ],
    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
  },
  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
    "a_key": "", # Properties of the object. Contains field @type with type URL.
  },
  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
  "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
    "a_key": "", # Properties of the object. Contains field @type with type URL.
  },
}
get(name, x__xgafv=None)
Gets a reasoning engine.

Args:
  name: string, Required. The name of the ReasoningEngine resource. Format: `projects/{project}/locations/{location}/reasoningEngines/{reasoning_engine}` (required)
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # ReasoningEngine provides a customizable runtime for models to determine which actions to take and in which order.
  "createTime": "A String", # Output only. Timestamp when this ReasoningEngine was created.
  "description": "A String", # Optional. The description of the ReasoningEngine.
  "displayName": "A String", # Required. The display name of the ReasoningEngine.
  "etag": "A String", # Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
  "name": "A String", # Identifier. The resource name of the ReasoningEngine.
  "spec": { # ReasoningEngine configurations # Required. Configurations of the ReasoningEngine
    "classMethods": [ # Optional. Declarations for object class methods in OpenAPI specification format.
      {
        "a_key": "", # Properties of the object.
      },
    ],
    "packageSpec": { # User provided package spec like pickled object and package requirements. # Required. User provided package spec of the ReasoningEngine.
      "dependencyFilesGcsUri": "A String", # Optional. The Cloud Storage URI of the dependency files in tar.gz format.
      "pickleObjectGcsUri": "A String", # Optional. The Cloud Storage URI of the pickled python object.
      "pythonVersion": "A String", # Optional. The Python version. Currently support 3.8, 3.9, 3.10, 3.11. If not specified, default value is 3.10.
      "requirementsGcsUri": "A String", # Optional. The Cloud Storage URI of the `requirements.txt` file
    },
  },
  "updateTime": "A String", # Output only. Timestamp when this ReasoningEngine was most recently updated.
}
list(parent, filter=None, pageSize=None, pageToken=None, x__xgafv=None)
Lists reasoning engines in a location.

Args:
  parent: string, Required. The resource name of the Location to list the ReasoningEngines from. Format: `projects/{project}/locations/{location}` (required)
  filter: string, Optional. The standard list filter. More detail in [AIP-160](https://google.aip.dev/160).
  pageSize: integer, Optional. The standard list page size.
  pageToken: string, Optional. The standard list page token.
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # Response message for ReasoningEngineService.ListReasoningEngines
  "nextPageToken": "A String", # A token to retrieve the next page of results. Pass to ListReasoningEnginesRequest.page_token to obtain that page.
  "reasoningEngines": [ # List of ReasoningEngines in the requested page.
    { # ReasoningEngine provides a customizable runtime for models to determine which actions to take and in which order.
      "createTime": "A String", # Output only. Timestamp when this ReasoningEngine was created.
      "description": "A String", # Optional. The description of the ReasoningEngine.
      "displayName": "A String", # Required. The display name of the ReasoningEngine.
      "etag": "A String", # Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
      "name": "A String", # Identifier. The resource name of the ReasoningEngine.
      "spec": { # ReasoningEngine configurations # Required. Configurations of the ReasoningEngine
        "classMethods": [ # Optional. Declarations for object class methods in OpenAPI specification format.
          {
            "a_key": "", # Properties of the object.
          },
        ],
        "packageSpec": { # User provided package spec like pickled object and package requirements. # Required. User provided package spec of the ReasoningEngine.
          "dependencyFilesGcsUri": "A String", # Optional. The Cloud Storage URI of the dependency files in tar.gz format.
          "pickleObjectGcsUri": "A String", # Optional. The Cloud Storage URI of the pickled python object.
          "pythonVersion": "A String", # Optional. The Python version. Currently support 3.8, 3.9, 3.10, 3.11. If not specified, default value is 3.10.
          "requirementsGcsUri": "A String", # Optional. The Cloud Storage URI of the `requirements.txt` file
        },
      },
      "updateTime": "A String", # Output only. Timestamp when this ReasoningEngine was most recently updated.
    },
  ],
}
list_next()
Retrieves the next page of results.

        Args:
          previous_request: The request for the previous page. (required)
          previous_response: The response from the request for the previous page. (required)

        Returns:
          A request object that you can call 'execute()' on to request the next
          page. Returns None if there are no more items in the collection.
        
patch(name, body=None, updateMask=None, x__xgafv=None)
Updates a reasoning engine.

Args:
  name: string, Identifier. The resource name of the ReasoningEngine. (required)
  body: object, The request body.
    The object takes the form of:

{ # ReasoningEngine provides a customizable runtime for models to determine which actions to take and in which order.
  "createTime": "A String", # Output only. Timestamp when this ReasoningEngine was created.
  "description": "A String", # Optional. The description of the ReasoningEngine.
  "displayName": "A String", # Required. The display name of the ReasoningEngine.
  "etag": "A String", # Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
  "name": "A String", # Identifier. The resource name of the ReasoningEngine.
  "spec": { # ReasoningEngine configurations # Required. Configurations of the ReasoningEngine
    "classMethods": [ # Optional. Declarations for object class methods in OpenAPI specification format.
      {
        "a_key": "", # Properties of the object.
      },
    ],
    "packageSpec": { # User provided package spec like pickled object and package requirements. # Required. User provided package spec of the ReasoningEngine.
      "dependencyFilesGcsUri": "A String", # Optional. The Cloud Storage URI of the dependency files in tar.gz format.
      "pickleObjectGcsUri": "A String", # Optional. The Cloud Storage URI of the pickled python object.
      "pythonVersion": "A String", # Optional. The Python version. Currently support 3.8, 3.9, 3.10, 3.11. If not specified, default value is 3.10.
      "requirementsGcsUri": "A String", # Optional. The Cloud Storage URI of the `requirements.txt` file
    },
  },
  "updateTime": "A String", # Output only. Timestamp when this ReasoningEngine was most recently updated.
}

  updateMask: string, Optional. Mask specifying which fields to update.
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # This resource represents a long-running operation that is the result of a network API call.
  "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
  "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
      {
        "a_key": "", # Properties of the object. Contains field @type with type URL.
      },
    ],
    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
  },
  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
    "a_key": "", # Properties of the object. Contains field @type with type URL.
  },
  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
  "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
    "a_key": "", # Properties of the object. Contains field @type with type URL.
  },
}
query(name, body=None, x__xgafv=None)
Queries using a reasoning engine.

Args:
  name: string, Required. The name of the ReasoningEngine resource to use. Format: `projects/{project}/locations/{location}/reasoningEngines/{reasoning_engine}` (required)
  body: object, The request body.
    The object takes the form of:

{ # Request message for ReasoningEngineExecutionService.Query.
  "classMethod": "A String", # Optional. Class method to be used for the query. It is optional and defaults to "query" if unspecified.
  "input": { # Optional. Input content provided by users in JSON object format. Examples include text query, function calling parameters, media bytes, etc.
    "a_key": "", # Properties of the object.
  },
}

  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # Response message for ReasoningEngineExecutionService.Query
  "output": "", # Response provided by users in JSON object format.
}