Unverified50% confidenceSolutionExact time
A practical engineering pattern is: keep the data actually flowing inside the system as JSON, convert only the text handed to the model into YAML or TOON, and then require the model to return in JSON format anything that needs to go back into code.
1
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50%
Confidence
Long-term
Relevance
10/13/2026
First Seen
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Related Claims
UnverifiedBy instructing the model to return JSON format and then parsing it with json.loads, free-form LLM text can be converted into structured data consumable by programs.75% similarVerifiedUnder the tool-calling paradigm, the LLM outputs a structured function-call intent (in JSON format), which is actually executed by an external system that returns the result to the model.74% similarUnverifiedJSON Schema acts as a constraint when LLMs extract information, ensuring each call returns a consistently formatted object.74% similarUnverifiedBy forcing the model to answer using a single tool, you can obtain JSON output that conforms to a schema rather than free-form text that needs to be parsed manually.73% similarUnverifiedAny data that is to land in an API, a database, or existing software should continue to use JSON, and conversion should occur only at the boundary of interaction with the model.73% similar
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