AutoGen Multi-Model Agent System

Marketing campaign brainstorming system using AutoGen framework with multi-model LLM collaboration and human-in-the-loop interaction.

Features

Dual-Agent Marketing Team

• CMO Agent: Strategic planning and audience targeting
• Brand Marketer Agent: Tactical campaign ideas and KPIs
• Automated collaborative conversations

Multi-Model Support

• OpenAI GPT-4o-mini
• Google Gemini 2.0 Flash
• Cross-provider agent collaboration

Three Interaction Modes

1. Single-model: Both agents using OpenAI
2. Multi-model: CMO (Gemini) + Marketer (OpenAI)
3. Human-in-the-Loop: Group chat with user participation

Tech Stack

• Framework: AutoGen (Microsoft)
• Models: GPT-4o-mini, Gemini 2.0 Flash
• Interface: Gradio (ready for UI)
• Libraries: google-generativeai, openai

Use Case

Sustainable shoe brand marketing campaign development with:

• Target audience definition
• Channel strategy
• KPI recommendations
• Creative concept brainstorming

Setup

pip install pyautogen openai google-generativeai gradio python-dotenv

Create .env:

OPENAI_API_KEY=your_key
GOOGLE_API_KEY=your_key

Run:

python autog.py

Conversation Flow

Agents automatically collaborate for 4 turns, then switch to group chat mode where users can guide the brainstorming process. Type exit to terminate.

Perfect for testing multi-agent LLM orchestration and comparing different model behaviors in collaborative tasks.