You want to parse a language model's JSON response into a typed object with nested fields using PydanticOutputParser. Which approach correctly handles nested Pydantic models?
hard📝 Application Q15 of 15
LangChain - Output Parsers
You want to parse a language model's JSON response into a typed object with nested fields using PydanticOutputParser. Which approach correctly handles nested Pydantic models?
AFlatten all nested fields into strings and parse with a simple model
BDefine nested Pydantic models and use them as fields in the main model, then pass the main model to PydanticOutputParser
CUse multiple PydanticOutputParsers, one for each nested model separately
DParse the text manually into dicts, then convert to models without PydanticOutputParser
Step-by-Step Solution
Solution:
Step 1: Understand nested model support
Pydantic supports nested models by defining models inside models as fields.
Step 2: Apply this to PydanticOutputParser
Passing the main model with nested fields to PydanticOutputParser allows automatic parsing and validation of nested data.
