Chat exercise

Core Workflow

• Prompt user for text input using the built-in input() function
• Add user message to a messages list
• Pass messages list to the chat API function
• Receive generated response from Claude
• Add assistant response to messages list
• Print the response
• Loop back to step 1 indefinitely (using while True)

Key Implementation Steps

• Initialize an empty messages list at the start
• Use add_user_message() to append user input to the messages list
• Call the chat() function with the messages list to get Claude's response
• Use add_assistant_message() to append Claude's response to the messages list
• Print responses with optional formatting (e. g. , dashes) for clarity

Important Concept

• The messages list maintains conversation history and context, allowing Claude to reference previous exchanges in subsequent responses
• This enables multi-turn conversations where later responses are aware of earlier messages

Loop Control

• The chatbot runs indefinitely until manually interrupted by the user (using the interrupt button and escape key)

Takeaways

• The chatbot maintains a messages list that stores the full conversation history, enabling Claude to reference previous exchanges in multi-turn conversations
• Core workflow loops indefinitely: get user input → add to messages list → call chat API → add response to messages list → print response
• Use add_user_message() and add_assistant_message() helper functions to properly append messages to the list before passing to the chat function
• The messages list is initialized empty at startup and persists throughout the session to preserve context across all exchanges