# Dialogflow API . projects . agent . entityTypes

## Instance Methods

Returns the entities Resource.

Deletes entity types in the specified agent. This method is a [long-running operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations). The returned `Operation` type has the following method-specific fields: - `metadata`: An empty [Struct message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct) - `response`: An [Empty message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty) Note: You should always train an agent prior to sending it queries. See the [training documentation](https://cloud.google.com/dialogflow/es/docs/training).

Updates/Creates multiple entity types in the specified agent. This method is a [long-running operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations). The returned `Operation` type has the following method-specific fields: - `metadata`: An empty [Struct message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct) - `response`: BatchUpdateEntityTypesResponse Note: You should always train an agent prior to sending it queries. See the [training documentation](https://cloud.google.com/dialogflow/es/docs/training).

Close httplib2 connections.

Creates an entity type in the specified agent. Note: You should always train an agent prior to sending it queries. See the [training documentation](https://cloud.google.com/dialogflow/es/docs/training).

Deletes the specified entity type. Note: You should always train an agent prior to sending it queries. See the [training documentation](https://cloud.google.com/dialogflow/es/docs/training).

Retrieves the specified entity type.

Returns the list of all entity types in the specified agent.

Retrieves the next page of results.

Updates the specified entity type. Note: You should always train an agent prior to sending it queries. See the [training documentation](https://cloud.google.com/dialogflow/es/docs/training).

### Method Details

`batchDelete(parent, body=None, x__xgafv=None)`

    Deletes entity types in the specified agent. This method is a [long-running operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations). The returned `Operation` type has the following method-specific fields: - `metadata`: An empty [Struct message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct) - `response`: An [Empty message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty) Note: You should always train an agent prior to sending it queries. See the [training documentation](https://cloud.google.com/dialogflow/es/docs/training).

    Args:
      parent: string, Required. The name of the agent to delete all entities types for. Format: `projects//agent`. (required)
      body: object, The request body.
        The object takes the form of:

    { # The request message for EntityTypes.BatchDeleteEntityTypes.
      "entityTypeNames": [ # Required. The names entity types to delete. All names must point to the same agent as `parent`.
        "A String",
      ],
    }

      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 response of the operation in case of success. 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.
      },
    }

`batchUpdate(parent, body=None, x__xgafv=None)`

    Updates/Creates multiple entity types in the specified agent. This method is a [long-running operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations). The returned `Operation` type has the following method-specific fields: - `metadata`: An empty [Struct message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct) - `response`: BatchUpdateEntityTypesResponse Note: You should always train an agent prior to sending it queries. See the [training documentation](https://cloud.google.com/dialogflow/es/docs/training).

    Args:
      parent: string, Required. The name of the agent to update or create entity types in. Format: `projects//agent`. (required)
      body: object, The request body.
        The object takes the form of:

    { # The request message for EntityTypes.BatchUpdateEntityTypes.
      "entityTypeBatchInline": { # This message is a wrapper around a collection of entity types. # The collection of entity types to update or create.
        "entityTypes": [ # A collection of entity types.
          { # Each intent parameter has a type, called the entity type, which dictates exactly how data from an end-user expression is extracted. Dialogflow provides predefined system entities that can match many common types of data. For example, there are system entities for matching dates, times, colors, email addresses, and so on. You can also create your own custom entities for matching custom data. For example, you could define a vegetable entity that can match the types of vegetables available for purchase with a grocery store agent. For more information, see the [Entity guide](https://cloud.google.com/dialogflow/docs/entities-overview).
            "autoExpansionMode": "A String", # Optional. Indicates whether the entity type can be automatically expanded.
            "displayName": "A String", # Required. The name of the entity type.
            "enableFuzzyExtraction": True or False, # Optional. Enables fuzzy entity extraction during classification.
            "entities": [ # Optional. The collection of entity entries associated with the entity type.
              { # An **entity entry** for an associated entity type.
                "synonyms": [ # Required. A collection of value synonyms. For example, if the entity type is *vegetable*, and `value` is *scallions*, a synonym could be *green onions*. For `KIND_LIST` entity types: * This collection must contain exactly one synonym equal to `value`.
                  "A String",
                ],
                "value": "A String", # Required. The primary value associated with this entity entry. For example, if the entity type is *vegetable*, the value could be *scallions*. For `KIND_MAP` entity types: * A reference value to be used in place of synonyms. For `KIND_LIST` entity types: * A string that can contain references to other entity types (with or without aliases).
              },
            ],
            "kind": "A String", # Required. Indicates the kind of entity type.
            "name": "A String", # The unique identifier of the entity type. Required for EntityTypes.UpdateEntityType and EntityTypes.BatchUpdateEntityTypes methods. Format: `projects//agent/entityTypes/`.
          },
        ],
      },
      "entityTypeBatchUri": "A String", # The URI to a Google Cloud Storage file containing entity types to update or create. The file format can either be a serialized proto (of EntityBatch type) or a JSON object. Note: The URI must start with "gs://".
      "languageCode": "A String", # Optional. The language used to access language-specific data. If not specified, the agent's default language is used. For more information, see [Multilingual intent and entity data](https://cloud.google.com/dialogflow/docs/agents-multilingual#intent-entity).
      "updateMask": "A String", # Optional. The mask to control which fields get 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 response of the operation in case of success. 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.
      },
    }

`close()`

    Close httplib2 connections.

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

    Creates an entity type in the specified agent. Note: You should always train an agent prior to sending it queries. See the [training documentation](https://cloud.google.com/dialogflow/es/docs/training).

    Args:
      parent: string, Required. The agent to create a entity type for. Format: `projects//agent`. (required)
      body: object, The request body.
        The object takes the form of:

    { # Each intent parameter has a type, called the entity type, which dictates exactly how data from an end-user expression is extracted. Dialogflow provides predefined system entities that can match many common types of data. For example, there are system entities for matching dates, times, colors, email addresses, and so on. You can also create your own custom entities for matching custom data. For example, you could define a vegetable entity that can match the types of vegetables available for purchase with a grocery store agent. For more information, see the [Entity guide](https://cloud.google.com/dialogflow/docs/entities-overview).
      "autoExpansionMode": "A String", # Optional. Indicates whether the entity type can be automatically expanded.
      "displayName": "A String", # Required. The name of the entity type.
      "enableFuzzyExtraction": True or False, # Optional. Enables fuzzy entity extraction during classification.
      "entities": [ # Optional. The collection of entity entries associated with the entity type.
        { # An **entity entry** for an associated entity type.
          "synonyms": [ # Required. A collection of value synonyms. For example, if the entity type is *vegetable*, and `value` is *scallions*, a synonym could be *green onions*. For `KIND_LIST` entity types: * This collection must contain exactly one synonym equal to `value`.
            "A String",
          ],
          "value": "A String", # Required. The primary value associated with this entity entry. For example, if the entity type is *vegetable*, the value could be *scallions*. For `KIND_MAP` entity types: * A reference value to be used in place of synonyms. For `KIND_LIST` entity types: * A string that can contain references to other entity types (with or without aliases).
        },
      ],
      "kind": "A String", # Required. Indicates the kind of entity type.
      "name": "A String", # The unique identifier of the entity type. Required for EntityTypes.UpdateEntityType and EntityTypes.BatchUpdateEntityTypes methods. Format: `projects//agent/entityTypes/`.
    }

      languageCode: string, Optional. The language used to access language-specific data. If not specified, the agent's default language is used. For more information, see [Multilingual intent and entity data](https://cloud.google.com/dialogflow/docs/agents-multilingual#intent-entity).
      x__xgafv: string, V1 error format.
        Allowed values
          1 - v1 error format
          2 - v2 error format

    Returns:
      An object of the form:

        { # Each intent parameter has a type, called the entity type, which dictates exactly how data from an end-user expression is extracted. Dialogflow provides predefined system entities that can match many common types of data. For example, there are system entities for matching dates, times, colors, email addresses, and so on. You can also create your own custom entities for matching custom data. For example, you could define a vegetable entity that can match the types of vegetables available for purchase with a grocery store agent. For more information, see the [Entity guide](https://cloud.google.com/dialogflow/docs/entities-overview).
      "autoExpansionMode": "A String", # Optional. Indicates whether the entity type can be automatically expanded.
      "displayName": "A String", # Required. The name of the entity type.
      "enableFuzzyExtraction": True or False, # Optional. Enables fuzzy entity extraction during classification.
      "entities": [ # Optional. The collection of entity entries associated with the entity type.
        { # An **entity entry** for an associated entity type.
          "synonyms": [ # Required. A collection of value synonyms. For example, if the entity type is *vegetable*, and `value` is *scallions*, a synonym could be *green onions*. For `KIND_LIST` entity types: * This collection must contain exactly one synonym equal to `value`.
            "A String",
          ],
          "value": "A String", # Required. The primary value associated with this entity entry. For example, if the entity type is *vegetable*, the value could be *scallions*. For `KIND_MAP` entity types: * A reference value to be used in place of synonyms. For `KIND_LIST` entity types: * A string that can contain references to other entity types (with or without aliases).
        },
      ],
      "kind": "A String", # Required. Indicates the kind of entity type.
      "name": "A String", # The unique identifier of the entity type. Required for EntityTypes.UpdateEntityType and EntityTypes.BatchUpdateEntityTypes methods. Format: `projects//agent/entityTypes/`.
    }

`delete(name, x__xgafv=None)`

    Deletes the specified entity type. Note: You should always train an agent prior to sending it queries. See the [training documentation](https://cloud.google.com/dialogflow/es/docs/training).

    Args:
      name: string, Required. The name of the entity type to delete. Format: `projects//agent/entityTypes/`. (required)
      x__xgafv: string, V1 error format.
        Allowed values
          1 - v1 error format
          2 - v2 error format

    Returns:
      An object of the form:

        { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }
    }

`get(name, languageCode=None, x__xgafv=None)`

    Retrieves the specified entity type.

    Args:
      name: string, Required. The name of the entity type. Format: `projects//agent/entityTypes/`. (required)
      languageCode: string, Optional. The language used to access language-specific data. If not specified, the agent's default language is used. For more information, see [Multilingual intent and entity data](https://cloud.google.com/dialogflow/docs/agents-multilingual#intent-entity).
      x__xgafv: string, V1 error format.
        Allowed values
          1 - v1 error format
          2 - v2 error format

    Returns:
      An object of the form:

        { # Each intent parameter has a type, called the entity type, which dictates exactly how data from an end-user expression is extracted. Dialogflow provides predefined system entities that can match many common types of data. For example, there are system entities for matching dates, times, colors, email addresses, and so on. You can also create your own custom entities for matching custom data. For example, you could define a vegetable entity that can match the types of vegetables available for purchase with a grocery store agent. For more information, see the [Entity guide](https://cloud.google.com/dialogflow/docs/entities-overview).
      "autoExpansionMode": "A String", # Optional. Indicates whether the entity type can be automatically expanded.
      "displayName": "A String", # Required. The name of the entity type.
      "enableFuzzyExtraction": True or False, # Optional. Enables fuzzy entity extraction during classification.
      "entities": [ # Optional. The collection of entity entries associated with the entity type.
        { # An **entity entry** for an associated entity type.
          "synonyms": [ # Required. A collection of value synonyms. For example, if the entity type is *vegetable*, and `value` is *scallions*, a synonym could be *green onions*. For `KIND_LIST` entity types: * This collection must contain exactly one synonym equal to `value`.
            "A String",
          ],
          "value": "A String", # Required. The primary value associated with this entity entry. For example, if the entity type is *vegetable*, the value could be *scallions*. For `KIND_MAP` entity types: * A reference value to be used in place of synonyms. For `KIND_LIST` entity types: * A string that can contain references to other entity types (with or without aliases).
        },
      ],
      "kind": "A String", # Required. Indicates the kind of entity type.
      "name": "A String", # The unique identifier of the entity type. Required for EntityTypes.UpdateEntityType and EntityTypes.BatchUpdateEntityTypes methods. Format: `projects//agent/entityTypes/`.
    }

`list(parent, languageCode=None, pageSize=None, pageToken=None, x__xgafv=None)`

    Returns the list of all entity types in the specified agent.

    Args:
      parent: string, Required. The agent to list all entity types from. Format: `projects//agent`. (required)
      languageCode: string, Optional. The language used to access language-specific data. If not specified, the agent's default language is used. For more information, see [Multilingual intent and entity data](https://cloud.google.com/dialogflow/docs/agents-multilingual#intent-entity).
      pageSize: integer, Optional. The maximum number of items to return in a single page. By default 100 and at most 1000.
      pageToken: string, Optional. The next_page_token value returned from a previous list request.
      x__xgafv: string, V1 error format.
        Allowed values
          1 - v1 error format
          2 - v2 error format

    Returns:
      An object of the form:

        { # The response message for EntityTypes.ListEntityTypes.
      "entityTypes": [ # The list of agent entity types. There will be a maximum number of items returned based on the page_size field in the request.
        { # Each intent parameter has a type, called the entity type, which dictates exactly how data from an end-user expression is extracted. Dialogflow provides predefined system entities that can match many common types of data. For example, there are system entities for matching dates, times, colors, email addresses, and so on. You can also create your own custom entities for matching custom data. For example, you could define a vegetable entity that can match the types of vegetables available for purchase with a grocery store agent. For more information, see the [Entity guide](https://cloud.google.com/dialogflow/docs/entities-overview).
          "autoExpansionMode": "A String", # Optional. Indicates whether the entity type can be automatically expanded.
          "displayName": "A String", # Required. The name of the entity type.
          "enableFuzzyExtraction": True or False, # Optional. Enables fuzzy entity extraction during classification.
          "entities": [ # Optional. The collection of entity entries associated with the entity type.
            { # An **entity entry** for an associated entity type.
              "synonyms": [ # Required. A collection of value synonyms. For example, if the entity type is *vegetable*, and `value` is *scallions*, a synonym could be *green onions*. For `KIND_LIST` entity types: * This collection must contain exactly one synonym equal to `value`.
                "A String",
              ],
              "value": "A String", # Required. The primary value associated with this entity entry. For example, if the entity type is *vegetable*, the value could be *scallions*. For `KIND_MAP` entity types: * A reference value to be used in place of synonyms. For `KIND_LIST` entity types: * A string that can contain references to other entity types (with or without aliases).
            },
          ],
          "kind": "A String", # Required. Indicates the kind of entity type.
          "name": "A String", # The unique identifier of the entity type. Required for EntityTypes.UpdateEntityType and EntityTypes.BatchUpdateEntityTypes methods. Format: `projects//agent/entityTypes/`.
        },
      ],
      "nextPageToken": "A String", # Token to retrieve the next page of results, or empty if there are no more results in the list.
    }

`list_next(previous_request, previous_response)`

    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, languageCode=None, updateMask=None, x__xgafv=None)`

    Updates the specified entity type. Note: You should always train an agent prior to sending it queries. See the [training documentation](https://cloud.google.com/dialogflow/es/docs/training).

    Args:
      name: string, The unique identifier of the entity type. Required for EntityTypes.UpdateEntityType and EntityTypes.BatchUpdateEntityTypes methods. Format: `projects//agent/entityTypes/`. (required)
      body: object, The request body.
        The object takes the form of:

    { # Each intent parameter has a type, called the entity type, which dictates exactly how data from an end-user expression is extracted. Dialogflow provides predefined system entities that can match many common types of data. For example, there are system entities for matching dates, times, colors, email addresses, and so on. You can also create your own custom entities for matching custom data. For example, you could define a vegetable entity that can match the types of vegetables available for purchase with a grocery store agent. For more information, see the [Entity guide](https://cloud.google.com/dialogflow/docs/entities-overview).
      "autoExpansionMode": "A String", # Optional. Indicates whether the entity type can be automatically expanded.
      "displayName": "A String", # Required. The name of the entity type.
      "enableFuzzyExtraction": True or False, # Optional. Enables fuzzy entity extraction during classification.
      "entities": [ # Optional. The collection of entity entries associated with the entity type.
        { # An **entity entry** for an associated entity type.
          "synonyms": [ # Required. A collection of value synonyms. For example, if the entity type is *vegetable*, and `value` is *scallions*, a synonym could be *green onions*. For `KIND_LIST` entity types: * This collection must contain exactly one synonym equal to `value`.
            "A String",
          ],
          "value": "A String", # Required. The primary value associated with this entity entry. For example, if the entity type is *vegetable*, the value could be *scallions*. For `KIND_MAP` entity types: * A reference value to be used in place of synonyms. For `KIND_LIST` entity types: * A string that can contain references to other entity types (with or without aliases).
        },
      ],
      "kind": "A String", # Required. Indicates the kind of entity type.
      "name": "A String", # The unique identifier of the entity type. Required for EntityTypes.UpdateEntityType and EntityTypes.BatchUpdateEntityTypes methods. Format: `projects//agent/entityTypes/`.
    }

      languageCode: string, Optional. The language used to access language-specific data. If not specified, the agent's default language is used. For more information, see [Multilingual intent and entity data](https://cloud.google.com/dialogflow/docs/agents-multilingual#intent-entity).
      updateMask: string, Optional. The mask to control which fields get updated.
      x__xgafv: string, V1 error format.
        Allowed values
          1 - v1 error format
          2 - v2 error format

    Returns:
      An object of the form:

        { # Each intent parameter has a type, called the entity type, which dictates exactly how data from an end-user expression is extracted. Dialogflow provides predefined system entities that can match many common types of data. For example, there are system entities for matching dates, times, colors, email addresses, and so on. You can also create your own custom entities for matching custom data. For example, you could define a vegetable entity that can match the types of vegetables available for purchase with a grocery store agent. For more information, see the [Entity guide](https://cloud.google.com/dialogflow/docs/entities-overview).
      "autoExpansionMode": "A String", # Optional. Indicates whether the entity type can be automatically expanded.
      "displayName": "A String", # Required. The name of the entity type.
      "enableFuzzyExtraction": True or False, # Optional. Enables fuzzy entity extraction during classification.
      "entities": [ # Optional. The collection of entity entries associated with the entity type.
        { # An **entity entry** for an associated entity type.
          "synonyms": [ # Required. A collection of value synonyms. For example, if the entity type is *vegetable*, and `value` is *scallions*, a synonym could be *green onions*. For `KIND_LIST` entity types: * This collection must contain exactly one synonym equal to `value`.
            "A String",
          ],
          "value": "A String", # Required. The primary value associated with this entity entry. For example, if the entity type is *vegetable*, the value could be *scallions*. For `KIND_MAP` entity types: * A reference value to be used in place of synonyms. For `KIND_LIST` entity types: * A string that can contain references to other entity types (with or without aliases).
        },
      ],
      "kind": "A String", # Required. Indicates the kind of entity type.
      "name": "A String", # The unique identifier of the entity type. Required for EntityTypes.UpdateEntityType and EntityTypes.BatchUpdateEntityTypes methods. Format: `projects//agent/entityTypes/`.
    }