Multi Sessions

Demonstrates managing multiple concurrent sessions for different users, contexts, and conversation types.

🎯 What This Demonstrates

• Multi-User Sessions: Separate conversations for different users
• Context-Based Sessions: Different session types (support, sales, etc.)
• Shared Sessions: Multiple agents using the same conversation
• Session Organization: Naming strategies and management patterns

🚀 Quick Start

1. Install OpenAI Agents SDK:

   pip install openai-agents
   

2. Set up environment:

   cp ../env.example .env
   # Edit .env and add your OpenAI API key
   

3. Run the agent:

   import asyncio
   from agent import multi_user_sessions, context_based_sessions
   
   # Test multi-user sessions
   asyncio.run(multi_user_sessions())
   
   # Test context-based sessions
   asyncio.run(context_based_sessions())
   

💡 Key Concepts

• Session Isolation: Keeping conversations separate
• User-Based Sessions: Individual user conversation histories
• Context Switching: Different conversation types and purposes
• Agent Handoffs: Sharing sessions between specialized agents

🧪 Available Patterns

Multi-User Sessions

• Separate sessions for Alice and Bob
• Isolated conversation histories
• User-specific context preservation

Context-Based Sessions

• Support ticket conversations
• Sales inquiry conversations
• Feature-specific sessions

Shared Session Agents

• Customer handoff scenarios
• Multiple agents, single conversation
• Context preservation across agent switches

Session Organization

• User-based naming: user_123
• Feature-based naming: chat_feature_user_123
• Thread-based naming: thread_abc123
• Timestamp-based naming: user_123_20241215

🔗 Next Steps

• Basic Sessions - Session fundamentals
• Memory Operations - Advanced memory manipulation
• Tutorial 8: Handoffs & Delegation - Agent handoffs