Package-level declarations
Types
A Dialogflow agent is a virtual agent that handles conversations with your end-users. It is a natural language understanding module that understands the nuances of human language. Dialogflow translates end-user text or audio during a conversation to structured data that your apps and services can understand. You design and build a Dialogflow agent to handle the types of conversations required for your system. To get more information about Agent, see:
A Dialogflow agent is a virtual agent that handles conversations with your end-users. It is a natural language understanding module that understands the nuances of human language. Dialogflow translates end-user text or audio during a conversation to structured data that your apps and services can understand. You design and build a Dialogflow agent to handle the types of conversations required for your system. To get more information about Agent, see:
Builder for AgentArgs.
Builder for Agent.
Agents are best described as Natural Language Understanding (NLU) modules that transform user requests into actionable data. You can include agents in your app, product, or service to determine user intent and respond to the user in a natural way. To get more information about Agent, see:
Agents are best described as Natural Language Understanding (NLU) modules that transform user requests into actionable data. You can include agents in your app, product, or service to determine user intent and respond to the user in a natural way. To get more information about Agent, see:
Builder for CxAgentArgs.
Builder for CxAgent.
Entities are extracted from user input and represent parameters that are meaningful to your application. For example, a date range, a proper name such as a geographic location or landmark, and so on. Entities represent actionable data for your application. To get more information about EntityType, see:
Entities are extracted from user input and represent parameters that are meaningful to your application. For example, a date range, a proper name such as a geographic location or landmark, and so on. Entities represent actionable data for your application. To get more information about EntityType, see:
Builder for CxEntityTypeArgs.
Builder for CxEntityType.
Represents an environment for an agent. You can create multiple versions of your agent and publish them to separate environments. When you edit an agent, you are editing the draft agent. At any point, you can save the draft agent as an agent version, which is an immutable snapshot of your agent. When you save the draft agent, it is published to the default environment. When you create agent versions, you can publish them to custom environments. You can create a variety of custom environments for testing, development, production, etc. To get more information about Environment, see:
Represents an environment for an agent. You can create multiple versions of your agent and publish them to separate environments. When you edit an agent, you are editing the draft agent. At any point, you can save the draft agent as an agent version, which is an immutable snapshot of your agent. When you save the draft agent, it is published to the default environment. When you create agent versions, you can publish them to custom environments. You can create a variety of custom environments for testing, development, production, etc. To get more information about Environment, see:
Builder for CxEnvironmentArgs.
Builder for CxEnvironment.
Flows represents the conversation flows when you build your chatbot agent. To get more information about Flow, see:
Flows represents the conversation flows when you build your chatbot agent. To get more information about Flow, see:
Builder for CxFlowArgs.
Builder for CxFlow.
An intent represents a user's intent to interact with a conversational agent. To get more information about Intent, see:
An intent represents a user's intent to interact with a conversational agent. To get more information about Intent, see:
Builder for CxIntentArgs.
Builder for CxIntent.
A Dialogflow CX conversation (session) can be described and visualized as a state machine. The states of a CX session are represented by pages. To get more information about Page, see:
A Dialogflow CX conversation (session) can be described and visualized as a state machine. The states of a CX session are represented by pages. To get more information about Page, see:
Builder for CxPageArgs.
Builder for CxPage.
You can create multiple versions of your agent flows and deploy them to separate serving environments. When you edit a flow, you are editing a draft flow. At any point, you can save a draft flow as a flow version. A flow version is an immutable snapshot of your flow data and associated agent data like intents, entities, webhooks, pages, route groups, etc. To get more information about Version, see:
You can create multiple versions of your agent flows and deploy them to separate serving environments. When you edit a flow, you are editing a draft flow. At any point, you can save a draft flow as a flow version. A flow version is an immutable snapshot of your flow data and associated agent data like intents, entities, webhooks, pages, route groups, etc. To get more information about Version, see:
Builder for CxVersionArgs.
Builder for CxVersion.
Webhooks host the developer's business logic. During a session, webhooks allow the developer to use the data extracted by Dialogflow's natural language processing to generate dynamic responses, validate collected data, or trigger actions on the backend. To get more information about Webhook, see:
Webhooks host the developer's business logic. During a session, webhooks allow the developer to use the data extracted by Dialogflow's natural language processing to generate dynamic responses, validate collected data, or trigger actions on the backend. To get more information about Webhook, see:
Builder for CxWebhookArgs.
Builder for CxWebhook.
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:
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:
Builder for EntityTypeArgs.
Builder for EntityType.
By default, your agent responds to a matched intent with a static response. If you're using one of the integration options, you can provide a more dynamic response by using fulfillment. When you enable fulfillment for an intent, Dialogflow responds to that intent by calling a service that you define. For example, if an end-user wants to schedule a haircut on Friday, your service can check your database and respond to the end-user with availability information for Friday. To get more information about Fulfillment, see:
By default, your agent responds to a matched intent with a static response. If you're using one of the integration options, you can provide a more dynamic response by using fulfillment. When you enable fulfillment for an intent, Dialogflow responds to that intent by calling a service that you define. For example, if an end-user wants to schedule a haircut on Friday, your service can check your database and respond to the end-user with availability information for Friday. To get more information about Fulfillment, see:
Builder for FulfillmentArgs.
Builder for Fulfillment.
Represents a Dialogflow intent. Intents convert a number of user expressions or patterns into an action. An action is an extraction of a user command or sentence semantics. To get more information about Intent, see:
Represents a Dialogflow intent. Intents convert a number of user expressions or patterns into an action. An action is an extraction of a user command or sentence semantics. To get more information about Intent, see:
Builder for IntentArgs.
Builder for Intent.