This repository contains several modules that can be used to create chatbots capable of interacting with users. Each module serves a specific purpose and provides different functionalities for building chatbot applications.
The BaseChatbot class provides a base class for creating chatbots. It includes methods for starting a conversation, creating system messages with restrictions, creating prompt messages for the user, and creating introduction messages. This class serves as the foundation for more specialized chatbot classes.
The SimpleChatbot class extends the BaseChatbot class and represents a simple chatbot. In addition to the functionalities provided by the BaseChatbot, the SimpleChatbot is capable of retrieving context for a given question and creating system messages with the provided contexts. This class is useful for chatbots that require contextual information to provide accurate responses.
The AgentChatbot class extends the BaseChatbot class and represents an agent chatbot. In addition to the functionalities provided by the BaseChatbot, the AgentChatbot is capable of choosing tools to answer a user's question, executing a set of tools and returning the results, and creating a results message based on the provided results. This class is useful for chatbots that require access to a set of tools to perform specific tasks.
The ToolResult and ToolSet represent the result of a tool execution and a set of tools, respectively. These classes are useful for chatbots that need to execute specific functions or tools to provide answers or perform tasks.
The ContextService and APIContextService represent classes for retrieving context from various sources. The ContextService is an abstract base class that defines a common interface for context services, while the APIContextService is a concrete implementation that retrieves context from an API. These classes are useful for chatbots that require external sources of information to provide accurate responses.
The MessageMapper class provides methods for mapping messages between different formats. It includes methods for converting a list of tuple messages to a list of base messages and vice versa. This class is useful for chatbots that need to work with different message formats.
The AzureAISearchContextService class retrieves context from Azure using Azure Cognitive Search. It extends the ContextService class and includes methods for retrieving context from Azure. This class is useful for chatbots that need to search for information in an Azure index.
To use these classes, simply import the desired module into your chatbot application and create an instance of the corresponding class. You can then use the methods and attributes provided by the class to interact with users and perform specific tasks.
from simple_chatbot_lib.chatbots import SimpleChatbot
from simple_chatbot_lib.mappers import MessageMapper
from simple_chatbot_lib.third_parties.context_services import AzureAISearchContextService
from langchain_openai import ChatOpenAI
llm = ChatOpenAI(openai_api_key='...')
az_ai_search_context = AzureAISearchContextService(
azure_key='...',
endpoint='...',
index_name='...'
)
simple_chatbot = SimpleChatbot(llm=llm,
context_services=[az_ai_search_context],
restrictions=['Do not answer questions that deviate from the informed context'],
personality='Friendly, helpful, and respectful',
language='English',
base_messages=None,
message_mapper=MessageMapper())
response = simple_chatbot('What are your business hours?')
print(response)- Python >= 3.11
- LangChain >= 0.1.0 < 0.2.0
This project is licensed under the terms of the GNU General Public License v3.0. See the LICENSE file for details.