🚗 Advanced Multi-Agent Car Sales System (Groq + Gemini Edition)

A sophisticated multi-agent AI system for intelligent car sales, demonstrating advanced agent coordination, real-time research, and professional sales workflows, all powered by high-speed Groq inference.

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🏗️ Architecture

The system orchestrates three specialized AI agents, each with a distinct role, to create a seamless and intelligent customer experience. LangChain provides the agent framework, Streamlit powers the user interface, and Groq's LPU ensures near-instant responses.

🤖 Meet the Agents

Agent	Model	Role	Specialization
🎯 John	llama3-70b-8192 (Groq)	Sales Expert	Customer interaction, sales process, negotiation
🔬 Dru	gemini-pro (Google AI)	Research Specialist	Vehicle research, technical analysis, market data
🏢 Boss	llama3-70b-8192 (Groq)	Business Coordinator	Inventory management, pricing, business policies

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✨ Key Features

• 🚀 High-Speed Inference: Near-instant agent responses powered by Groq's LPU technology.
• 🧠 Intelligent Agent Coordination: Seamless communication between specialized agents for a comprehensive sales workflow.
• 🔍 Smart Inventory Search: AI-powered vehicle matching against a local CSV database.
• 🌐 Real-time Research: On-demand technical details and market data provided by the Gemini-powered research agent.
• 💼 Professional Sales Process: The system can handle the entire sales funnel, from initial greeting to negotiation.

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🚀 Quick Start

Prerequisites

• Python 3.8 or higher
• A Groq API Key
• A Google AI (Gemini) API Key

Installation

1. Clone the repository:

   git clone https://github.com/jomasego/multiagent_sales.git
   cd multiagent_sales

2. Create a virtual environment:

   python3 -m venv .venv
   source .venv/bin/activate  # On Windows: .venv\Scripts\activate

3. Install dependencies:

   pip install --upgrade pip
   pip install -r requirements.txt

4. Configure environment variables: Create a file named .env in the project root and add your API keys:

   GROQ_API_KEY="gsk_..."
   GEMINI_API_KEY="AIza..."

5. Run the application:

   streamlit run app.py

6. Access the interface: Open your browser to http://localhost:8501 and start chatting with John!

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📖 Usage Examples

Once the application is running, you can interact with the sales agent. Here are a few examples:

• Initial Contact: "Hi, I'm looking for a car"
• Specific Requirements: "I want a red sedan that's less than 2 years old"
• Technical Inquiry: "What safety features does the Tesla Model 3 have for babies?"
• Negotiation: "Can you offer any discount on the Ford Mustang?"

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🛠️ Technical Stack

• 🤖 AI Models: Groq llama3-70b-8192, Google gemini-pro
• 🔗 Agent Framework: LangChain
• 🖥️ Frontend: Streamlit
• 📊 Data: Pandas
• 🐍 Language: Python 3.8+