Question

You are building a feature that asks Claude to return a detailed JSON object summarizing a customer support ticket. During testing, you notice the model's responses are consistently cut off mid-object, producing invalid JSON that your parser rejects. Your prompt and temperature settings appear correct. Which change is most likely to resolve the truncation?

Accepted Answer

Increase the max_tokens value so the response has enough room to complete the full JSON object

Answer

Lower the temperature to 0 so the model produces more deterministic output

Answer

Add a stop sequence of '}' so generation halts cleanly at the end of the object

Answer

Switch to a model with a larger context window to fit the longer response