https://github.com/hari7261/negotiation-multiagent
Simulate realistic price negotiations between Buyer and Seller agents using LLM-generated messages and agent logic.
https://github.com/hari7261/negotiation-multiagent
ai-agent ai-agent-tools ai-agents flask gemini-llm google-generative-ai hari7261 llm multi-agent-systems multiagent negotiation-tool python
Last synced: 6 months ago
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Simulate realistic price negotiations between Buyer and Seller agents using LLM-generated messages and agent logic.
- Host: GitHub
- URL: https://github.com/hari7261/negotiation-multiagent
- Owner: hari7261
- Created: 2025-07-02T14:27:16.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2025-07-02T14:28:45.000Z (7 months ago)
- Last Synced: 2025-07-02T15:37:05.486Z (7 months ago)
- Topics: ai-agent, ai-agent-tools, ai-agents, flask, gemini-llm, google-generative-ai, hari7261, llm, multi-agent-systems, multiagent, negotiation-tool, python
- Language: Python
- Homepage:
- Size: 113 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 🤖 AI-Powered Multi-Agent Negotiation Platform
A sophisticated AI-powered negotiation platform that simulates real-world negotiations using multiple intelligent agents. Built with Google's Gemini AI, this platform demonstrates advanced negotiation strategies, autonomous decision-making, and dynamic price optimization.
## 🌟 Features
### 🎯 Core Capabilities
- **Multi-Agent System**
- 🤝 Buyer Agent: Strategic price negotiation with learning capabilities
- 💼 Seller Agent: Adaptive pricing based on market conditions
- ⚖️ Mediator Agent: Facilitates negotiations and suggests compromises
- **Real-Time Negotiation**
- 📊 Live negotiation progress tracking
- 💬 Dynamic message exchange between agents
- 🎯 Automatic price convergence detection
- **Advanced Analytics**
- 📈 Negotiation efficiency metrics
- 🎯 Fair value index calculation
- 🧮 Complexity score assessment
- 📋 Detailed transaction history
### 💫 User Experience
- **Modern UI/UX**
- 🎨 Clean, intuitive interface
- 📱 Fully responsive design
- ✨ Smooth animations and transitions
- 🌓 Light/Dark mode support
- **Real-Time Updates**
- ⚡ Live negotiation progress
- 🔄 Automatic status updates
- 📊 Dynamic price tracking
## 🛠️ Technology Stack
- **Backend**
- 🐍 Python 3.9+
- 🌶️ Flask Web Framework
- 🤖 Google Gemini AI API
- 🗄️ SQLite Database
- **Frontend**
- 🎨 Modern CSS with Custom Properties
- 📱 Responsive Design
- 🎭 Custom Animations
- ⚡ Vanilla JavaScript
## 🚀 Getting Started
### Prerequisites
- Python 3.9 or higher
- Google Gemini API key
- Modern web browser
### Installation
1. Clone the repository:
```bash
git clone https://github.com/yourusername/negotiation-multiagent.git
cd negotiation-multiagent
```
2. Run the setup script:
- Windows: `setup.bat`
- Unix/Mac: `./setup.sh`
3. Configure your environment:
```bash
copy .env.example .env
# Edit .env and add your Gemini API key
```
4. Start the application:
- Windows: `run.bat`
- Unix/Mac: `./run.sh`
5. Open your browser and navigate to:
```
http://localhost:5000
```
## 🎯 How It Works
### Negotiation Process
1. **Initialization**
- User inputs item details and price ranges
- System initializes three AI agents: buyer, seller, and mediator
2. **Negotiation Rounds**
- Buyer makes initial offer
- Seller responds with counter-offer
- Mediator intervenes periodically to facilitate agreement
- Process continues until agreement or maximum rounds reached
3. **Agreement Detection**
- System automatically detects when agents reach agreement
- Validates final price against initial constraints
- Records successful negotiations in database
### AI Agent Behaviors
#### 🤝 Buyer Agent
- Analyzes item value and market conditions
- Implements strategic bidding patterns
- Adapts offers based on seller responses
- Learns from negotiation history
#### 💼 Seller Agent
- Evaluates market position and item worth
- Employs dynamic pricing strategies
- Considers buyer's negotiation pattern
- Maintains profit margins while being flexible
#### ⚖️ Mediator Agent
- Monitors negotiation progress
- Identifies deadlock situations
- Suggests compromises based on both positions
- Helps optimize for mutual benefit
## 📊 Analytics & Metrics
### Efficiency Metrics
- **Negotiation Speed**: Rounds to agreement
- **Price Convergence**: Rate of offer adjustments
- **Success Rate**: Percentage of successful negotiations
### Fair Value Index
- Market value analysis
- Price trend correlation
- Historical transaction comparison
### Complexity Score
- Number of rounds required
- Price movement patterns
- Intervention frequency
## 🎨 UI/UX Features
### Real-Time Updates
- Animated progress indicators
- Live message updates
- Dynamic price tracking
### Interactive Elements
- Negotiation timeline
- Price history graphs
- Status indicators
### Responsive Design
- Mobile-first approach
- Adaptive layouts
- Touch-friendly interfaces
## 📈 Future Enhancements
- 🌐 Multi-language support
- 📊 Advanced analytics dashboard
- 🤝 Multi-party negotiations
- 🔄 Integration with real market data
- 🎯 Custom negotiation strategies
## 🤝 Contributing
Contributions are welcome! Please read our [Contributing Guidelines](CONTRIBUTING.md) for details on our code of conduct and the process for submitting pull requests.
## 📜 License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## 👏 Acknowledgments
- Google Gemini AI for providing the advanced language model
- Flask community for the excellent web framework
- All contributors who have helped shape this project
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Made with ❤️ by hari7261