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.
For more information about agents, see the Agent guide
<https://cloud.google.com/dialogflow/docs/agents-overview>__.
Required. The name of this agent.
Optional. The list of all languages supported by this agent
(except for the default_language_code).
Optional. The description of this agent. The maximum length is 500 characters. If exceeded, the request is rejected.
Optional. Determines whether this agent should log conversation queries.
Optional. To filter out false positive results and still get variety in matched natural language inputs for your agent, you can tune the machine learning classification threshold. If the returned score value is less than the threshold value, then a fallback intent will be triggered or, if there are no fallback intents defined, no intent will be triggered. The score values range from 0.0 (completely uncertain) to 1.0 (completely certain). If set to 0.0, the default of 0.3 is used.
Optional. The agent tier. If not specified, TIER_STANDARD is assumed.