Google Dialogflow Entity Type
This page shows how to write Terraform for Dialogflow Entity Type and write them securely.
google_dialogflow_entity_type (Terraform)
The Entity Type in Dialogflow can be configured in Terraform with the resource name google_dialogflow_entity_type
. The following sections describe how to use the resource and its parameters.
Example Usage from GitHub
An example could not be found in GitHub.
Parameters
-
display_name
required - string
The name of this entity type to be displayed on the console.
-
enable_fuzzy_extraction
optional - bool
Enables fuzzy entity extraction during classification.
Indicates the kind of entity type. KIND_MAP: Map entity types allow mapping of a group of synonyms to a reference value. KIND_LIST: List entity types contain a set of entries that do not map to reference values. However, list entity types can contain references to other entity types (with or without aliases). * KIND_REGEXP: Regexp entity types allow to specify regular expressions in entries values. Possible values: ["KIND_MAP", "KIND_LIST", "KIND_REGEXP"]
-
name
optional computed - string
The unique identifier of the entity type. Format: projects/<Project ID>/agent/entityTypes/<Entity type ID>.
-
project
optional computed - string -
entities
list block-
synonyms
required - list of string
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.
-
value
required - string
The primary value associated with this entity entry. For example, if the entity type is vegetable, the value could be scallions. For KINDMAP entity types: A reference value to be used in place of synonyms. For KINDLIST entity types: A string that can contain references to other entity types (with or without aliases).
-
-
timeouts
single block
Explanation in Terraform Registry
Represents an entity type. Entity types serve as a tool for extracting parameter values from natural language queries. To get more information about EntityType, see:
- API documentation
- How-to Guides