Chatbot Framework

This project is a chatbot framework designed to interact with users in a conversational manner. It leverages a large language model (LLM) to generate responses and handle tool calls dynamically.

Features

• Dynamic System Prompt: The chatbot generates a system prompt based on the provided summary and detail.
• Conversation History: Maintains a history of messages exchanged between the user and the chatbot.
• Tool Call Handling: Supports tool calls and processes them dynamically during the conversation.
• LLM Integration: Uses the openai/gpt-oss-120b model for generating responses.

Code Overview

Key Methods

1. system_prompt():

   • Constructs the system prompt using the chatbot's summary, detail, and name.

2. chat(message: str, history: List[Dict]):

   • Handles the main chat functionality.
   • Accepts a user message and a history of previous messages.
   • Interacts with the LLM to generate responses.
   • Processes tool calls if required.

Workflow

1. The chat method initializes the conversation with a system prompt.
2. It appends the user's message and the conversation history.
3. The LLM generates a response, which may include tool calls.
4. Tool calls are handled dynamically, and the conversation continues until a final response is generated.

Installation

1. Clone the repository:

   git clone <repository-url>
   cd <repository-folder>