The `Agent` class in Python's Rasa Core library is responsible for managing the dialogue flow between a user and an AI chatbot. It is an essential component that handles the core functionalities such as handling user inputs, predicting the next action of the bot, and generating appropriate responses. The `Agent` class supports training the dialogue model using machine learning techniques, and it can handle multiple conversation sessions concurrently. It encapsulates the necessary components like the dialogue policy, NLU model, and action predictor to provide a seamless conversational experience. Overall, the `Agent` class simplifies the process of building and deploying AI chatbots by providing a high-level interface for managing the dialogue interactions.
Python Agent - 60 examples found. These are the top rated real world Python examples of rasa_core.agent.Agent extracted from open source projects. You can rate examples to help us improve the quality of examples.