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  5. dialogflow/v3beta1
  6. getIntent

Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi

google-native.dialogflow/v3beta1.getIntent

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Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi

    Retrieves the specified intent.

    Using getIntent

    Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

    function getIntent(args: GetIntentArgs, opts?: InvokeOptions): Promise<GetIntentResult>
    function getIntentOutput(args: GetIntentOutputArgs, opts?: InvokeOptions): Output<GetIntentResult>
    def get_intent(agent_id: Optional[str] = None,
                   intent_id: Optional[str] = None,
                   language_code: Optional[str] = None,
                   location: Optional[str] = None,
                   project: Optional[str] = None,
                   opts: Optional[InvokeOptions] = None) -> GetIntentResult
    def get_intent_output(agent_id: Optional[pulumi.Input[str]] = None,
                   intent_id: Optional[pulumi.Input[str]] = None,
                   language_code: Optional[pulumi.Input[str]] = None,
                   location: Optional[pulumi.Input[str]] = None,
                   project: Optional[pulumi.Input[str]] = None,
                   opts: Optional[InvokeOptions] = None) -> Output[GetIntentResult]
    func LookupIntent(ctx *Context, args *LookupIntentArgs, opts ...InvokeOption) (*LookupIntentResult, error)
    func LookupIntentOutput(ctx *Context, args *LookupIntentOutputArgs, opts ...InvokeOption) LookupIntentResultOutput

    > Note: This function is named LookupIntent in the Go SDK.

    public static class GetIntent 
    {
        public static Task<GetIntentResult> InvokeAsync(GetIntentArgs args, InvokeOptions? opts = null)
        public static Output<GetIntentResult> Invoke(GetIntentInvokeArgs args, InvokeOptions? opts = null)
    }
    public static CompletableFuture<GetIntentResult> getIntent(GetIntentArgs args, InvokeOptions options)
    // Output-based functions aren't available in Java yet
    
    fn::invoke:
      function: google-native:dialogflow/v3beta1:getIntent
      arguments:
        # arguments dictionary

    The following arguments are supported:

    AgentId string
    IntentId string
    Location string
    LanguageCode string
    Project string
    AgentId string
    IntentId string
    Location string
    LanguageCode string
    Project string
    agentId String
    intentId String
    location String
    languageCode String
    project String
    agentId string
    intentId string
    location string
    languageCode string
    project string
    agentId String
    intentId String
    location String
    languageCode String
    project String

    getIntent Result

    The following output properties are available:

    Description string
    Human readable description for better understanding an intent like its scope, content, result etc. Maximum character limit: 140 characters.
    DisplayName string
    The human-readable name of the intent, unique within the agent.
    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.
    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.V3Beta1.Outputs.GoogleCloudDialogflowCxV3beta1IntentParameterResponse>
    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.
    TrainingPhrases List<Pulumi.GoogleNative.Dialogflow.V3Beta1.Outputs.GoogleCloudDialogflowCxV3beta1IntentTrainingPhraseResponse>
    The collection of training phrases the agent is trained on to identify the intent.
    Description string
    Human readable description for better understanding an intent like its scope, content, result etc. Maximum character limit: 140 characters.
    DisplayName string
    The human-readable name of the intent, unique within the agent.
    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.
    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 []GoogleCloudDialogflowCxV3beta1IntentParameterResponse
    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.
    TrainingPhrases []GoogleCloudDialogflowCxV3beta1IntentTrainingPhraseResponse
    The collection of training phrases the agent is trained on to identify the intent.
    description String
    Human readable description for better understanding an intent like its scope, content, result etc. Maximum character limit: 140 characters.
    displayName String
    The human-readable name of the intent, unique within the agent.
    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.
    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<GoogleCloudDialogflowCxV3beta1IntentParameterResponse>
    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.
    trainingPhrases List<GoogleCloudDialogflowCxV3beta1IntentTrainingPhraseResponse>
    The collection of training phrases the agent is trained on to identify the intent.
    description string
    Human readable description for better understanding an intent like its scope, content, result etc. Maximum character limit: 140 characters.
    displayName string
    The human-readable name of the intent, unique within the agent.
    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.
    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 GoogleCloudDialogflowCxV3beta1IntentParameterResponse[]
    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.
    trainingPhrases GoogleCloudDialogflowCxV3beta1IntentTrainingPhraseResponse[]
    The collection of training phrases the agent is trained on to identify the intent.
    description str
    Human readable description for better understanding an intent like its scope, content, result etc. Maximum character limit: 140 characters.
    display_name str
    The human-readable name of the intent, unique within the agent.
    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.
    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[GoogleCloudDialogflowCxV3beta1IntentParameterResponse]
    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.
    training_phrases Sequence[GoogleCloudDialogflowCxV3beta1IntentTrainingPhraseResponse]
    The collection of training phrases the agent is trained on to identify the intent.
    description String
    Human readable description for better understanding an intent like its scope, content, result etc. Maximum character limit: 140 characters.
    displayName String
    The human-readable name of the intent, unique within the agent.
    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.
    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.
    trainingPhrases List<Property Map>
    The collection of training phrases the agent is trained on to identify the intent.

    Supporting Types

    GoogleCloudDialogflowCxV3beta1IntentParameterResponse

    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.

    GoogleCloudDialogflowCxV3beta1IntentTrainingPhrasePartResponse

    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.

    GoogleCloudDialogflowCxV3beta1IntentTrainingPhraseResponse

    Parts List<Pulumi.GoogleNative.Dialogflow.V3Beta1.Inputs.GoogleCloudDialogflowCxV3beta1IntentTrainingPhrasePartResponse>
    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 []GoogleCloudDialogflowCxV3beta1IntentTrainingPhrasePartResponse
    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<GoogleCloudDialogflowCxV3beta1IntentTrainingPhrasePartResponse>
    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 GoogleCloudDialogflowCxV3beta1IntentTrainingPhrasePartResponse[]
    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[GoogleCloudDialogflowCxV3beta1IntentTrainingPhrasePartResponse]
    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
    Google Cloud Native pulumi/pulumi-google-native
    License
    Apache-2.0
    google-native logo

    Google Cloud Native is in preview. Google Cloud Classic is fully supported.

    Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi