ChatAgent is an implementation of GrocAgent designed to handle chat-based queries. It demonstrates how to use GrocAgent to create a chatbot capable of processing user queries and generating responses using an external model (e.g., Modellake).
Note: While this example uses Modellake to implement chatbot functionality, users can extend GrocAgent to incorporate other libraries or custom logic based on their project requirements.
Imports
Ensure the following imports are included when using GrocAgent:
from flask import Flask # Flask is used as the web server framework
from groclake.modellake import Modellake # (Optional) For handling chatbot logic
from groclake.utillake import GrocAgent # Base class to define custom agents
Implementation Details
The ChatAgent example is initialized with:
Flask App Instance: Registers the agent with a Flask application.
Agent Name: Identifies the agent (e.g., "ChatAgent").
Initial Intent and Description: Defines the default intent ("chat") and its purpose.
Adaptor Configuration: Links external dependencies through configurations.