Classification tasks with LLMs often become messy. Instead of a clear label, you might get "Option A", "Answer: A", or a full explanation.
Transforming this into a normal format requires additional parsing, retraining, and validation, which makes the system fragile.
With Guidance, the select() function constrains the model to return exactly one option from a specified list.
Key advantages:
• ensures that the output corresponds to one of the predefined options
• eliminates the need for parsing code and regular expressions
• works with any list of acceptable values
Article comparing 5 Python tools for structured LLM outputs.
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