Structured output & schema fidelity
One qualified GitHub discussion points to this friction. Use the plan below to test it with practitioners before building.
Where this need appears
Each item below is a public, qualified GitHub discussion. The Radar groups related friction, while the original Issue remains available for source checking.
- Doesn't honour pydantic model field datatype and randomly throws `langchain_core.exceptions.OutputParserException`langchain-ai/langchain · 29 comments · 5 positive reactions
Turn the signal into one observable action
Build a fixed set of ten real schema cases, apply one constrained-output or repair strategy and compare valid completion against the unchanged baseline.
At least nine of ten cases pass the same downstream validator without manual repair or loss of required information.
Ask before you build
- Show the expected schema and the last invalid result.
- Which field or type breaks downstream processing?
- How often does the failure occur?
- How is invalid output repaired today?
- Which valid edge cases must remain supported?
Professional guardrail: Measure citation accuracy, coverage and review time; never reward speed at the expense of source fidelity.
Choose a narrow next move
Save this pattern in the free workspace, interview someone who recently hit it, and record one concrete commitment or decision. Do not treat issue counts or compliments as willingness to pay.