Google Native

v0.27.0 published on Friday, Oct 21, 2022 by Pulumi

Intent

Creates an intent in the specified agent. Note: You should always train a flow prior to sending it queries. See the training documentation.

Create Intent Resource

new Intent(name: string, args: IntentArgs, opts?: CustomResourceOptions);
@overload
def Intent(resource_name: str,
           opts: Optional[ResourceOptions] = None,
           agent_id: Optional[str] = None,
           description: Optional[str] = None,
           display_name: Optional[str] = None,
           is_fallback: Optional[bool] = None,
           labels: Optional[Mapping[str, str]] = None,
           language_code: Optional[str] = None,
           location: Optional[str] = None,
           name: Optional[str] = None,
           parameters: Optional[Sequence[GoogleCloudDialogflowCxV3IntentParameterArgs]] = None,
           priority: Optional[int] = None,
           project: Optional[str] = None,
           training_phrases: Optional[Sequence[GoogleCloudDialogflowCxV3IntentTrainingPhraseArgs]] = None)
@overload
def Intent(resource_name: str,
           args: IntentArgs,
           opts: Optional[ResourceOptions] = None)
func NewIntent(ctx *Context, name string, args IntentArgs, opts ...ResourceOption) (*Intent, error)
public Intent(string name, IntentArgs args, CustomResourceOptions? opts = null)
public Intent(String name, IntentArgs args)
public Intent(String name, IntentArgs args, CustomResourceOptions options)
type: google-native:dialogflow/v3:Intent
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

name string
The unique name of the resource.
args IntentArgs
The arguments to resource properties.
opts CustomResourceOptions
Bag of options to control resource's behavior.
resource_name str
The unique name of the resource.
args IntentArgs
The arguments to resource properties.
opts ResourceOptions
Bag of options to control resource's behavior.
ctx Context
Context object for the current deployment.
name string
The unique name of the resource.
args IntentArgs
The arguments to resource properties.
opts ResourceOption
Bag of options to control resource's behavior.
name string
The unique name of the resource.
args IntentArgs
The arguments to resource properties.
opts CustomResourceOptions
Bag of options to control resource's behavior.
name String
The unique name of the resource.
args IntentArgs
The arguments to resource properties.
options CustomResourceOptions
Bag of options to control resource's behavior.

Intent Resource Properties

To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

Inputs

The Intent resource accepts the following input properties:

AgentId string
DisplayName string

The human-readable name of the intent, unique within the agent.

Description string

Human readable description for better understanding an intent like its scope, content, result etc. Maximum character limit: 140 characters.

IsFallback bool

Indicates whether this is a fallback intent. Currently only default fallback intent is allowed in the agent, which is added upon agent creation. Adding training phrases to fallback intent is useful in the case of requests that are mistakenly matched, since training phrases assigned to fallback intents act as negative examples that triggers no-match event.

Labels Dictionary<string, string>

The key/value metadata to label an intent. Labels can contain lowercase letters, digits and the symbols '-' and '_'. International characters are allowed, including letters from unicase alphabets. Keys must start with a letter. Keys and values can be no longer than 63 characters and no more than 128 bytes. Prefix "sys-" is reserved for Dialogflow defined labels. Currently allowed Dialogflow defined labels include: * sys-head * sys-contextual The above labels do not require value. "sys-head" means the intent is a head intent. "sys.contextual" means the intent is a contextual intent.

LanguageCode string

The language of the following fields in intent: * Intent.training_phrases.parts.text If not specified, the agent's default language is used. Many languages are supported. Note: languages must be enabled in the agent before they can be used.

Location string
Name string

The unique identifier of the intent. Required for the Intents.UpdateIntent method. Intents.CreateIntent populates the name automatically. Format: projects//locations//agents//intents/.

Parameters List<Pulumi.GoogleNative.Dialogflow.V3.Inputs.GoogleCloudDialogflowCxV3IntentParameterArgs>

The collection of parameters associated with the intent.

Priority int

The priority of this intent. Higher numbers represent higher priorities. - If the supplied value is unspecified or 0, the service translates the value to 500,000, which corresponds to the Normal priority in the console. - If the supplied value is negative, the intent is ignored in runtime detect intent requests.

Project string
TrainingPhrases List<Pulumi.GoogleNative.Dialogflow.V3.Inputs.GoogleCloudDialogflowCxV3IntentTrainingPhraseArgs>

The collection of training phrases the agent is trained on to identify the intent.

AgentId string
DisplayName string

The human-readable name of the intent, unique within the agent.

Description string

Human readable description for better understanding an intent like its scope, content, result etc. Maximum character limit: 140 characters.

IsFallback bool

Indicates whether this is a fallback intent. Currently only default fallback intent is allowed in the agent, which is added upon agent creation. Adding training phrases to fallback intent is useful in the case of requests that are mistakenly matched, since training phrases assigned to fallback intents act as negative examples that triggers no-match event.

Labels map[string]string

The key/value metadata to label an intent. Labels can contain lowercase letters, digits and the symbols '-' and '_'. International characters are allowed, including letters from unicase alphabets. Keys must start with a letter. Keys and values can be no longer than 63 characters and no more than 128 bytes. Prefix "sys-" is reserved for Dialogflow defined labels. Currently allowed Dialogflow defined labels include: * sys-head * sys-contextual The above labels do not require value. "sys-head" means the intent is a head intent. "sys.contextual" means the intent is a contextual intent.

LanguageCode string

The language of the following fields in intent: * Intent.training_phrases.parts.text If not specified, the agent's default language is used. Many languages are supported. Note: languages must be enabled in the agent before they can be used.

Location string
Name string

The unique identifier of the intent. Required for the Intents.UpdateIntent method. Intents.CreateIntent populates the name automatically. Format: projects//locations//agents//intents/.

Parameters []GoogleCloudDialogflowCxV3IntentParameterArgs

The collection of parameters associated with the intent.

Priority int

The priority of this intent. Higher numbers represent higher priorities. - If the supplied value is unspecified or 0, the service translates the value to 500,000, which corresponds to the Normal priority in the console. - If the supplied value is negative, the intent is ignored in runtime detect intent requests.

Project string
TrainingPhrases []GoogleCloudDialogflowCxV3IntentTrainingPhraseArgs

The collection of training phrases the agent is trained on to identify the intent.

agentId String
displayName String

The human-readable name of the intent, unique within the agent.

description String

Human readable description for better understanding an intent like its scope, content, result etc. Maximum character limit: 140 characters.

isFallback Boolean

Indicates whether this is a fallback intent. Currently only default fallback intent is allowed in the agent, which is added upon agent creation. Adding training phrases to fallback intent is useful in the case of requests that are mistakenly matched, since training phrases assigned to fallback intents act as negative examples that triggers no-match event.

labels Map<String,String>

The key/value metadata to label an intent. Labels can contain lowercase letters, digits and the symbols '-' and '_'. International characters are allowed, including letters from unicase alphabets. Keys must start with a letter. Keys and values can be no longer than 63 characters and no more than 128 bytes. Prefix "sys-" is reserved for Dialogflow defined labels. Currently allowed Dialogflow defined labels include: * sys-head * sys-contextual The above labels do not require value. "sys-head" means the intent is a head intent. "sys.contextual" means the intent is a contextual intent.

languageCode String

The language of the following fields in intent: * Intent.training_phrases.parts.text If not specified, the agent's default language is used. Many languages are supported. Note: languages must be enabled in the agent before they can be used.

location String
name String

The unique identifier of the intent. Required for the Intents.UpdateIntent method. Intents.CreateIntent populates the name automatically. Format: projects//locations//agents//intents/.

parameters List<GoogleCloudDialogflowCxV3IntentParameterArgs>

The collection of parameters associated with the intent.

priority Integer

The priority of this intent. Higher numbers represent higher priorities. - If the supplied value is unspecified or 0, the service translates the value to 500,000, which corresponds to the Normal priority in the console. - If the supplied value is negative, the intent is ignored in runtime detect intent requests.

project String
trainingPhrases List<GoogleCloudDialogflowCxV3IntentTrainingPhraseArgs>

The collection of training phrases the agent is trained on to identify the intent.

agentId string
displayName string

The human-readable name of the intent, unique within the agent.

description string

Human readable description for better understanding an intent like its scope, content, result etc. Maximum character limit: 140 characters.

isFallback boolean

Indicates whether this is a fallback intent. Currently only default fallback intent is allowed in the agent, which is added upon agent creation. Adding training phrases to fallback intent is useful in the case of requests that are mistakenly matched, since training phrases assigned to fallback intents act as negative examples that triggers no-match event.

labels {[key: string]: string}

The key/value metadata to label an intent. Labels can contain lowercase letters, digits and the symbols '-' and '_'. International characters are allowed, including letters from unicase alphabets. Keys must start with a letter. Keys and values can be no longer than 63 characters and no more than 128 bytes. Prefix "sys-" is reserved for Dialogflow defined labels. Currently allowed Dialogflow defined labels include: * sys-head * sys-contextual The above labels do not require value. "sys-head" means the intent is a head intent. "sys.contextual" means the intent is a contextual intent.

languageCode string

The language of the following fields in intent: * Intent.training_phrases.parts.text If not specified, the agent's default language is used. Many languages are supported. Note: languages must be enabled in the agent before they can be used.

location string
name string

The unique identifier of the intent. Required for the Intents.UpdateIntent method. Intents.CreateIntent populates the name automatically. Format: projects//locations//agents//intents/.

parameters GoogleCloudDialogflowCxV3IntentParameterArgs[]

The collection of parameters associated with the intent.

priority number

The priority of this intent. Higher numbers represent higher priorities. - If the supplied value is unspecified or 0, the service translates the value to 500,000, which corresponds to the Normal priority in the console. - If the supplied value is negative, the intent is ignored in runtime detect intent requests.

project string
trainingPhrases GoogleCloudDialogflowCxV3IntentTrainingPhraseArgs[]

The collection of training phrases the agent is trained on to identify the intent.

agent_id str
display_name str

The human-readable name of the intent, unique within the agent.

description str

Human readable description for better understanding an intent like its scope, content, result etc. Maximum character limit: 140 characters.

is_fallback bool

Indicates whether this is a fallback intent. Currently only default fallback intent is allowed in the agent, which is added upon agent creation. Adding training phrases to fallback intent is useful in the case of requests that are mistakenly matched, since training phrases assigned to fallback intents act as negative examples that triggers no-match event.

labels Mapping[str, str]

The key/value metadata to label an intent. Labels can contain lowercase letters, digits and the symbols '-' and '_'. International characters are allowed, including letters from unicase alphabets. Keys must start with a letter. Keys and values can be no longer than 63 characters and no more than 128 bytes. Prefix "sys-" is reserved for Dialogflow defined labels. Currently allowed Dialogflow defined labels include: * sys-head * sys-contextual The above labels do not require value. "sys-head" means the intent is a head intent. "sys.contextual" means the intent is a contextual intent.

language_code str

The language of the following fields in intent: * Intent.training_phrases.parts.text If not specified, the agent's default language is used. Many languages are supported. Note: languages must be enabled in the agent before they can be used.

location str
name str

The unique identifier of the intent. Required for the Intents.UpdateIntent method. Intents.CreateIntent populates the name automatically. Format: projects//locations//agents//intents/.

parameters Sequence[GoogleCloudDialogflowCxV3IntentParameterArgs]

The collection of parameters associated with the intent.

priority int

The priority of this intent. Higher numbers represent higher priorities. - If the supplied value is unspecified or 0, the service translates the value to 500,000, which corresponds to the Normal priority in the console. - If the supplied value is negative, the intent is ignored in runtime detect intent requests.

project str
training_phrases Sequence[GoogleCloudDialogflowCxV3IntentTrainingPhraseArgs]

The collection of training phrases the agent is trained on to identify the intent.

agentId String
displayName String

The human-readable name of the intent, unique within the agent.

description String

Human readable description for better understanding an intent like its scope, content, result etc. Maximum character limit: 140 characters.

isFallback Boolean

Indicates whether this is a fallback intent. Currently only default fallback intent is allowed in the agent, which is added upon agent creation. Adding training phrases to fallback intent is useful in the case of requests that are mistakenly matched, since training phrases assigned to fallback intents act as negative examples that triggers no-match event.

labels Map<String>

The key/value metadata to label an intent. Labels can contain lowercase letters, digits and the symbols '-' and '_'. International characters are allowed, including letters from unicase alphabets. Keys must start with a letter. Keys and values can be no longer than 63 characters and no more than 128 bytes. Prefix "sys-" is reserved for Dialogflow defined labels. Currently allowed Dialogflow defined labels include: * sys-head * sys-contextual The above labels do not require value. "sys-head" means the intent is a head intent. "sys.contextual" means the intent is a contextual intent.

languageCode String

The language of the following fields in intent: * Intent.training_phrases.parts.text If not specified, the agent's default language is used. Many languages are supported. Note: languages must be enabled in the agent before they can be used.

location String
name String

The unique identifier of the intent. Required for the Intents.UpdateIntent method. Intents.CreateIntent populates the name automatically. Format: projects//locations//agents//intents/.

parameters List<Property Map>

The collection of parameters associated with the intent.

priority Number

The priority of this intent. Higher numbers represent higher priorities. - If the supplied value is unspecified or 0, the service translates the value to 500,000, which corresponds to the Normal priority in the console. - If the supplied value is negative, the intent is ignored in runtime detect intent requests.

project String
trainingPhrases List<Property Map>

The collection of training phrases the agent is trained on to identify the intent.

Outputs

All input properties are implicitly available as output properties. Additionally, the Intent resource produces the following output properties:

Id string

The provider-assigned unique ID for this managed resource.

Id string

The provider-assigned unique ID for this managed resource.

id String

The provider-assigned unique ID for this managed resource.

id string

The provider-assigned unique ID for this managed resource.

id str

The provider-assigned unique ID for this managed resource.

id String

The provider-assigned unique ID for this managed resource.

Supporting Types

GoogleCloudDialogflowCxV3IntentParameter

EntityType string

The entity type of the parameter. Format: projects/-/locations/-/agents/-/entityTypes/ for system entity types (for example, projects/-/locations/-/agents/-/entityTypes/sys.date), or projects//locations//agents//entityTypes/ for developer entity types.

Id string

The unique identifier of the parameter. This field is used by training phrases to annotate their parts.

IsList bool

Indicates whether the parameter represents a list of values.

Redact bool

Indicates whether the parameter content should be redacted in log. If redaction is enabled, the parameter content will be replaced by parameter name during logging. Note: the parameter content is subject to redaction if either parameter level redaction or entity type level redaction is enabled.

EntityType string

The entity type of the parameter. Format: projects/-/locations/-/agents/-/entityTypes/ for system entity types (for example, projects/-/locations/-/agents/-/entityTypes/sys.date), or projects//locations//agents//entityTypes/ for developer entity types.

Id string

The unique identifier of the parameter. This field is used by training phrases to annotate their parts.

IsList bool

Indicates whether the parameter represents a list of values.

Redact bool

Indicates whether the parameter content should be redacted in log. If redaction is enabled, the parameter content will be replaced by parameter name during logging. Note: the parameter content is subject to redaction if either parameter level redaction or entity type level redaction is enabled.

entityType String

The entity type of the parameter. Format: projects/-/locations/-/agents/-/entityTypes/ for system entity types (for example, projects/-/locations/-/agents/-/entityTypes/sys.date), or projects//locations//agents//entityTypes/ for developer entity types.

id String

The unique identifier of the parameter. This field is used by training phrases to annotate their parts.

isList Boolean

Indicates whether the parameter represents a list of values.

redact Boolean

Indicates whether the parameter content should be redacted in log. If redaction is enabled, the parameter content will be replaced by parameter name during logging. Note: the parameter content is subject to redaction if either parameter level redaction or entity type level redaction is enabled.

entityType string

The entity type of the parameter. Format: projects/-/locations/-/agents/-/entityTypes/ for system entity types (for example, projects/-/locations/-/agents/-/entityTypes/sys.date), or projects//locations//agents//entityTypes/ for developer entity types.

id string

The unique identifier of the parameter. This field is used by training phrases to annotate their parts.

isList boolean

Indicates whether the parameter represents a list of values.

redact boolean

Indicates whether the parameter content should be redacted in log. If redaction is enabled, the parameter content will be replaced by parameter name during logging. Note: the parameter content is subject to redaction if either parameter level redaction or entity type level redaction is enabled.

entity_type str

The entity type of the parameter. Format: projects/-/locations/-/agents/-/entityTypes/ for system entity types (for example, projects/-/locations/-/agents/-/entityTypes/sys.date), or projects//locations//agents//entityTypes/ for developer entity types.

id str

The unique identifier of the parameter. This field is used by training phrases to annotate their parts.

is_list bool

Indicates whether the parameter represents a list of values.

redact bool

Indicates whether the parameter content should be redacted in log. If redaction is enabled, the parameter content will be replaced by parameter name during logging. Note: the parameter content is subject to redaction if either parameter level redaction or entity type level redaction is enabled.

entityType String

The entity type of the parameter. Format: projects/-/locations/-/agents/-/entityTypes/ for system entity types (for example, projects/-/locations/-/agents/-/entityTypes/sys.date), or projects//locations//agents//entityTypes/ for developer entity types.

id String

The unique identifier of the parameter. This field is used by training phrases to annotate their parts.

isList Boolean

Indicates whether the parameter represents a list of values.

redact Boolean

Indicates whether the parameter content should be redacted in log. If redaction is enabled, the parameter content will be replaced by parameter name during logging. Note: the parameter content is subject to redaction if either parameter level redaction or entity type level redaction is enabled.

GoogleCloudDialogflowCxV3IntentParameterResponse

EntityType string

The entity type of the parameter. Format: projects/-/locations/-/agents/-/entityTypes/ for system entity types (for example, projects/-/locations/-/agents/-/entityTypes/sys.date), or projects//locations//agents//entityTypes/ for developer entity types.

IsList bool

Indicates whether the parameter represents a list of values.

Redact bool

Indicates whether the parameter content should be redacted in log. If redaction is enabled, the parameter content will be replaced by parameter name during logging. Note: the parameter content is subject to redaction if either parameter level redaction or entity type level redaction is enabled.

EntityType string

The entity type of the parameter. Format: projects/-/locations/-/agents/-/entityTypes/ for system entity types (for example, projects/-/locations/-/agents/-/entityTypes/sys.date), or projects//locations//agents//entityTypes/ for developer entity types.

IsList bool

Indicates whether the parameter represents a list of values.

Redact bool

Indicates whether the parameter content should be redacted in log. If redaction is enabled, the parameter content will be replaced by parameter name during logging. Note: the parameter content is subject to redaction if either parameter level redaction or entity type level redaction is enabled.

entityType String

The entity type of the parameter. Format: projects/-/locations/-/agents/-/entityTypes/ for system entity types (for example, projects/-/locations/-/agents/-/entityTypes/sys.date), or projects//locations//agents//entityTypes/ for developer entity types.

isList Boolean

Indicates whether the parameter represents a list of values.

redact Boolean

Indicates whether the parameter content should be redacted in log. If redaction is enabled, the parameter content will be replaced by parameter name during logging. Note: the parameter content is subject to redaction if either parameter level redaction or entity type level redaction is enabled.

entityType string

The entity type of the parameter. Format: projects/-/locations/-/agents/-/entityTypes/ for system entity types (for example, projects/-/locations/-/agents/-/entityTypes/sys.date), or projects//locations//agents//entityTypes/ for developer entity types.

isList boolean

Indicates whether the parameter represents a list of values.

redact boolean

Indicates whether the parameter content should be redacted in log. If redaction is enabled, the parameter content will be replaced by parameter name during logging. Note: the parameter content is subject to redaction if either parameter level redaction or entity type level redaction is enabled.

entity_type str

The entity type of the parameter. Format: projects/-/locations/-/agents/-/entityTypes/ for system entity types (for example, projects/-/locations/-/agents/-/entityTypes/sys.date), or projects//locations//agents//entityTypes/ for developer entity types.

is_list bool

Indicates whether the parameter represents a list of values.

redact bool

Indicates whether the parameter content should be redacted in log. If redaction is enabled, the parameter content will be replaced by parameter name during logging. Note: the parameter content is subject to redaction if either parameter level redaction or entity type level redaction is enabled.

entityType String

The entity type of the parameter. Format: projects/-/locations/-/agents/-/entityTypes/ for system entity types (for example, projects/-/locations/-/agents/-/entityTypes/sys.date), or projects//locations//agents//entityTypes/ for developer entity types.

isList Boolean

Indicates whether the parameter represents a list of values.

redact Boolean

Indicates whether the parameter content should be redacted in log. If redaction is enabled, the parameter content will be replaced by parameter name during logging. Note: the parameter content is subject to redaction if either parameter level redaction or entity type level redaction is enabled.

GoogleCloudDialogflowCxV3IntentTrainingPhrase

Parts List<Pulumi.GoogleNative.Dialogflow.V3.Inputs.GoogleCloudDialogflowCxV3IntentTrainingPhrasePart>

The ordered list of training phrase parts. The parts are concatenated in order to form the training phrase. Note: The API does not automatically annotate training phrases like the Dialogflow Console does. Note: Do not forget to include whitespace at part boundaries, so the training phrase is well formatted when the parts are concatenated. If the training phrase does not need to be annotated with parameters, you just need a single part with only the Part.text field set. If you want to annotate the training phrase, you must create multiple parts, where the fields of each part are populated in one of two ways: - Part.text is set to a part of the phrase that has no parameters. - Part.text is set to a part of the phrase that you want to annotate, and the parameter_id field is set.

RepeatCount int

Indicates how many times this example was added to the intent.

Parts []GoogleCloudDialogflowCxV3IntentTrainingPhrasePart

The ordered list of training phrase parts. The parts are concatenated in order to form the training phrase. Note: The API does not automatically annotate training phrases like the Dialogflow Console does. Note: Do not forget to include whitespace at part boundaries, so the training phrase is well formatted when the parts are concatenated. If the training phrase does not need to be annotated with parameters, you just need a single part with only the Part.text field set. If you want to annotate the training phrase, you must create multiple parts, where the fields of each part are populated in one of two ways: - Part.text is set to a part of the phrase that has no parameters. - Part.text is set to a part of the phrase that you want to annotate, and the parameter_id field is set.

RepeatCount int

Indicates how many times this example was added to the intent.

parts List<GoogleCloudDialogflowCxV3IntentTrainingPhrasePart>

The ordered list of training phrase parts. The parts are concatenated in order to form the training phrase. Note: The API does not automatically annotate training phrases like the Dialogflow Console does. Note: Do not forget to include whitespace at part boundaries, so the training phrase is well formatted when the parts are concatenated. If the training phrase does not need to be annotated with parameters, you just need a single part with only the Part.text field set. If you want to annotate the training phrase, you must create multiple parts, where the fields of each part are populated in one of two ways: - Part.text is set to a part of the phrase that has no parameters. - Part.text is set to a part of the phrase that you want to annotate, and the parameter_id field is set.

repeatCount Integer

Indicates how many times this example was added to the intent.

parts GoogleCloudDialogflowCxV3IntentTrainingPhrasePart[]

The ordered list of training phrase parts. The parts are concatenated in order to form the training phrase. Note: The API does not automatically annotate training phrases like the Dialogflow Console does. Note: Do not forget to include whitespace at part boundaries, so the training phrase is well formatted when the parts are concatenated. If the training phrase does not need to be annotated with parameters, you just need a single part with only the Part.text field set. If you want to annotate the training phrase, you must create multiple parts, where the fields of each part are populated in one of two ways: - Part.text is set to a part of the phrase that has no parameters. - Part.text is set to a part of the phrase that you want to annotate, and the parameter_id field is set.

repeatCount number

Indicates how many times this example was added to the intent.

parts Sequence[GoogleCloudDialogflowCxV3IntentTrainingPhrasePart]

The ordered list of training phrase parts. The parts are concatenated in order to form the training phrase. Note: The API does not automatically annotate training phrases like the Dialogflow Console does. Note: Do not forget to include whitespace at part boundaries, so the training phrase is well formatted when the parts are concatenated. If the training phrase does not need to be annotated with parameters, you just need a single part with only the Part.text field set. If you want to annotate the training phrase, you must create multiple parts, where the fields of each part are populated in one of two ways: - Part.text is set to a part of the phrase that has no parameters. - Part.text is set to a part of the phrase that you want to annotate, and the parameter_id field is set.

repeat_count int

Indicates how many times this example was added to the intent.

parts List<Property Map>

The ordered list of training phrase parts. The parts are concatenated in order to form the training phrase. Note: The API does not automatically annotate training phrases like the Dialogflow Console does. Note: Do not forget to include whitespace at part boundaries, so the training phrase is well formatted when the parts are concatenated. If the training phrase does not need to be annotated with parameters, you just need a single part with only the Part.text field set. If you want to annotate the training phrase, you must create multiple parts, where the fields of each part are populated in one of two ways: - Part.text is set to a part of the phrase that has no parameters. - Part.text is set to a part of the phrase that you want to annotate, and the parameter_id field is set.

repeatCount Number

Indicates how many times this example was added to the intent.

GoogleCloudDialogflowCxV3IntentTrainingPhrasePart

Text string

The text for this part.

ParameterId string

The parameter used to annotate this part of the training phrase. This field is required for annotated parts of the training phrase.

Text string

The text for this part.

ParameterId string

The parameter used to annotate this part of the training phrase. This field is required for annotated parts of the training phrase.

text String

The text for this part.

parameterId String

The parameter used to annotate this part of the training phrase. This field is required for annotated parts of the training phrase.

text string

The text for this part.

parameterId string

The parameter used to annotate this part of the training phrase. This field is required for annotated parts of the training phrase.

text str

The text for this part.

parameter_id str

The parameter used to annotate this part of the training phrase. This field is required for annotated parts of the training phrase.

text String

The text for this part.

parameterId String

The parameter used to annotate this part of the training phrase. This field is required for annotated parts of the training phrase.

GoogleCloudDialogflowCxV3IntentTrainingPhrasePartResponse

ParameterId string

The parameter used to annotate this part of the training phrase. This field is required for annotated parts of the training phrase.

Text string

The text for this part.

ParameterId string

The parameter used to annotate this part of the training phrase. This field is required for annotated parts of the training phrase.

Text string

The text for this part.

parameterId String

The parameter used to annotate this part of the training phrase. This field is required for annotated parts of the training phrase.

text String

The text for this part.

parameterId string

The parameter used to annotate this part of the training phrase. This field is required for annotated parts of the training phrase.

text string

The text for this part.

parameter_id str

The parameter used to annotate this part of the training phrase. This field is required for annotated parts of the training phrase.

text str

The text for this part.

parameterId String

The parameter used to annotate this part of the training phrase. This field is required for annotated parts of the training phrase.

text String

The text for this part.

GoogleCloudDialogflowCxV3IntentTrainingPhraseResponse

Parts List<Pulumi.GoogleNative.Dialogflow.V3.Inputs.GoogleCloudDialogflowCxV3IntentTrainingPhrasePartResponse>

The ordered list of training phrase parts. The parts are concatenated in order to form the training phrase. Note: The API does not automatically annotate training phrases like the Dialogflow Console does. Note: Do not forget to include whitespace at part boundaries, so the training phrase is well formatted when the parts are concatenated. If the training phrase does not need to be annotated with parameters, you just need a single part with only the Part.text field set. If you want to annotate the training phrase, you must create multiple parts, where the fields of each part are populated in one of two ways: - Part.text is set to a part of the phrase that has no parameters. - Part.text is set to a part of the phrase that you want to annotate, and the parameter_id field is set.

RepeatCount int

Indicates how many times this example was added to the intent.

Parts []GoogleCloudDialogflowCxV3IntentTrainingPhrasePartResponse

The ordered list of training phrase parts. The parts are concatenated in order to form the training phrase. Note: The API does not automatically annotate training phrases like the Dialogflow Console does. Note: Do not forget to include whitespace at part boundaries, so the training phrase is well formatted when the parts are concatenated. If the training phrase does not need to be annotated with parameters, you just need a single part with only the Part.text field set. If you want to annotate the training phrase, you must create multiple parts, where the fields of each part are populated in one of two ways: - Part.text is set to a part of the phrase that has no parameters. - Part.text is set to a part of the phrase that you want to annotate, and the parameter_id field is set.

RepeatCount int

Indicates how many times this example was added to the intent.

parts List<GoogleCloudDialogflowCxV3IntentTrainingPhrasePartResponse>

The ordered list of training phrase parts. The parts are concatenated in order to form the training phrase. Note: The API does not automatically annotate training phrases like the Dialogflow Console does. Note: Do not forget to include whitespace at part boundaries, so the training phrase is well formatted when the parts are concatenated. If the training phrase does not need to be annotated with parameters, you just need a single part with only the Part.text field set. If you want to annotate the training phrase, you must create multiple parts, where the fields of each part are populated in one of two ways: - Part.text is set to a part of the phrase that has no parameters. - Part.text is set to a part of the phrase that you want to annotate, and the parameter_id field is set.

repeatCount Integer

Indicates how many times this example was added to the intent.

parts GoogleCloudDialogflowCxV3IntentTrainingPhrasePartResponse[]

The ordered list of training phrase parts. The parts are concatenated in order to form the training phrase. Note: The API does not automatically annotate training phrases like the Dialogflow Console does. Note: Do not forget to include whitespace at part boundaries, so the training phrase is well formatted when the parts are concatenated. If the training phrase does not need to be annotated with parameters, you just need a single part with only the Part.text field set. If you want to annotate the training phrase, you must create multiple parts, where the fields of each part are populated in one of two ways: - Part.text is set to a part of the phrase that has no parameters. - Part.text is set to a part of the phrase that you want to annotate, and the parameter_id field is set.

repeatCount number

Indicates how many times this example was added to the intent.

parts Sequence[GoogleCloudDialogflowCxV3IntentTrainingPhrasePartResponse]

The ordered list of training phrase parts. The parts are concatenated in order to form the training phrase. Note: The API does not automatically annotate training phrases like the Dialogflow Console does. Note: Do not forget to include whitespace at part boundaries, so the training phrase is well formatted when the parts are concatenated. If the training phrase does not need to be annotated with parameters, you just need a single part with only the Part.text field set. If you want to annotate the training phrase, you must create multiple parts, where the fields of each part are populated in one of two ways: - Part.text is set to a part of the phrase that has no parameters. - Part.text is set to a part of the phrase that you want to annotate, and the parameter_id field is set.

repeat_count int

Indicates how many times this example was added to the intent.

parts List<Property Map>

The ordered list of training phrase parts. The parts are concatenated in order to form the training phrase. Note: The API does not automatically annotate training phrases like the Dialogflow Console does. Note: Do not forget to include whitespace at part boundaries, so the training phrase is well formatted when the parts are concatenated. If the training phrase does not need to be annotated with parameters, you just need a single part with only the Part.text field set. If you want to annotate the training phrase, you must create multiple parts, where the fields of each part are populated in one of two ways: - Part.text is set to a part of the phrase that has no parameters. - Part.text is set to a part of the phrase that you want to annotate, and the parameter_id field is set.

repeatCount Number

Indicates how many times this example was added to the intent.

Package Details

Repository
https://github.com/pulumi/pulumi-google-native
License
Apache-2.0