Using Items for Custom Handling
You're building a chatbot that needs to provide detailed logging for debugging purposes. The chatbot uses a reasoning-enabled model, and you want to create custom output messages that clearly distinguish between reasoning summaries and assistant responses. You have a response object from a previous API call that contains multiple output items.
This exercise is part of the course
Working with the OpenAI Responses API
Exercise instructions
- Loop through each item in
response.output. - Check if the item type is
'reasoning'and print a formatted message showing the reasoning summary if it exists. - Check if the item type is
'message'and print a formatted message with the assistant's text output.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Loop through each item in the response output
for item in response.____:
# Check if the item is a reasoning item
if item.____ == '____':
if item.____:
print(f"Reasoning: {item.____[0]}")
else:
print("No reasoning summary found.")
# Check if the item is a message item
if item.____ == 'message':
print(f"Assistant: {item.____[0].text}")