A production-grade, multi-threaded Python sales agent designed to simulate concurrent lead conversations, automate follow-ups, and persist lead data in a lightweight CSV format. It features a modern CLI interface powered by the rich library.

Demo: Tella Video Walkthrough

• Multi-threaded lead handling with safe concurrency (5+ conversations)
• Structured terminal interface using rich
• Background follow-up scheduler for delayed responses
• Persistent data storage in CSV format
• Thread-safe design using resource locks

sales-agent/
├── agent.py               # Lead conversation logic
├── followup\_manager.py    # Background reminder system
├── main.py                # Thread orchestration and app entry
├── trigger\_simulator.py   # Lead event simulator
├── leads.csv              # Saved leads
├── requirements.txt       # Python dependencies
└── README.md              # Documentation

git clone https://github.com/AmaedaQ/sales-agent.git
cd sales-agent
python -m venv venv

# Activate environment
# On Windows:
venv\Scripts\activate

# On macOS/Linux:
source venv/bin/activate

pip install -r requirements.txt

python main.py

• Runs 5 concurrent conversations
• Triggers automated follow-up handler
• All data saved to leads.csv

python main.py --leads 10
python followup_manager.py --test-mode
python trigger_simulator.py --count 3

lead_id,name,age,country,interest,status
1001,Alice,29,Canada,CRM Tools,secured
1002,,,,,no_response

• Simulate high load:

  python main.py --leads 20

• Fast-forward follow-ups:

  python followup_manager.py --test-delay 5

• Validate CSV entries:

  python -c "import csv; print(len(list(csv.reader(open('leads.csv')))))"

• Chose multithreading for true concurrent task simulation
• CSV provides a fast, tool-friendly storage method for prototyping
• rich enhances terminal output with better UX and visibility
• Background scheduler runs as a daemon thread for real-time automation

This project is licensed under the MIT License.