GitHub·· 6 天前AI 评分15
AI-FLUENCY 项目对比普通聊天机器人、规则工作流与 AI Agent 三种课程费用助手方案
madhuvidhyapad24-cloud/AI-FLUENCY
AI 导读
GitHub 项目 AI-FLUENCY 用同一课程费用场景演示三种 AI 助手实现：普通 LLM 聊天机器人、基于 Python 预定义规则的 workflow，以及带工具调用和多步执行的 AI Agent。Agent 配备 get_course_fee() 与 calculator() 两个工具，技术栈为 Python、Groq、OpenAI SDK 和 Tool Calling。
正文
Plain Chatbot vs Rule-Based Workflow vs AI Agent
This project demonstrates three approaches to building an AI-powered college course-fee assistant:
- Plain LLM Chatbot – Uses an LLM for natural-language responses.
- Rule-Based Workflow – Uses predefined Python rules.
- AI Agent – Uses an LLM with tools and multi-step execution.
Course Data
| Course | Fee |
|---|---|
| CS101 | ₹12,000 |
| AI202 | ₹18,000 |
| DS303 | ₹15,000 |
AI Agent Tools
get_course_fee()– Retrieves course fees.calculator()– Performs arithmetic calculations.
Technologies
Python • Groq • OpenAI SDK • Tool Calling • Git • GitHub
Project Structure
AI-FLUENCY/
├── Output/
├── agent.py
├── chatbot.py
├── workflow.py
├── tools.py
├── config.py
├── check_setup.py
├── analysis.md
├── requirements.txt
└── .gitignore
来源：GitHub · github.com