Conversation Management

Demonstrates manual conversation threading with to_input_list() and automatic management with Sessions.

🎯 What This Demonstrates

• Manual Threading: Using result.to_input_list() for conversation history
• Automatic Sessions: Using SQLiteSession for memory management
• Conversation Context: Maintaining state across multiple turns
• Thread Management: Different approaches to conversation flow

🚀 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 manual_conversation_example, session_conversation_example
   
   # Test manual conversation management
   asyncio.run(manual_conversation_example())
   

💡 Key Concepts

• to_input_list(): Manual conversation history management
• SQLiteSession: Automatic conversation persistence
• Context Preservation: Maintaining conversation state
• Session Storage: In-memory vs persistent storage

🔗 Next Steps

• Execution Methods - Basic execution patterns
• Streaming Events - Real-time processing