Basic Sessions

Demonstrates fundamental session memory management with SQLiteSession for automatic conversation history.

🎯 What This Demonstrates

• In-Memory Sessions: Temporary session storage for development
• Persistent Sessions: File-based session storage for production
• Multi-Turn Conversations: Automatic context preservation
• Session Memory: Eliminating manual .to_input_list() handling

🚀 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 in_memory_session_example, persistent_session_example
   
   # Test in-memory sessions
   asyncio.run(in_memory_session_example())
   
   # Test persistent sessions
   asyncio.run(persistent_session_example())
   

💡 Key Concepts

• SQLiteSession: Automatic conversation memory management
• In-Memory vs Persistent: Choose storage based on use case
• Session IDs: Organizing conversations by unique identifiers
• Automatic Context: No manual conversation threading required

🧪 Available Examples

In-Memory Sessions

• Temporary conversation storage
• Lost when process ends
• Perfect for development and testing

Persistent Sessions

• File-based conversation storage
• Survives application restarts
• Essential for production applications

Multi-Turn Conversations

• Extended conversation flows
• Automatic context preservation
• Natural conversation progression

🔗 Next Steps

• Memory Operations - Advanced memory manipulation
• Multi Sessions - Managing multiple conversations