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The Schema Verifier goes beyond standard JSON validation. It combines Pydantic structure enforcement with Symbolic Math checks deeply embedded within the schema.

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How It Works

It validates that:
  1. Structure: The output matches the required JSON keys and types.
  2. Logic: The numeric values inside the JSON are mathematically consistent (e.g., total == sum(items)).

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Usage

schema = {
    "type": "object",
    "properties": {
        "items": {"type": "array", "items": {"type": "number"}},
        "total": {"type": "number"}
    },
    # QWED Extension: Math Logic
    "qwed:constraints": [
        "total == sum(items)"
    ]
}

response = client.verify_schema(
    obj={"items": [10, 20], "total": 30},
    schema=schema
)
# -> ✅ Verified

response = client.verify_schema(
    obj={"items": [10, 20], "total": 300}, # LLM hallucinations
    schema=schema
)
# -> ❌ MATH ERROR: total (300) != sum(items) (30)

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When to use

  • Invoice Processing: Ensure line items sum to the total.
  • Financial Reports: Ensure balance sheets balance.
  • Tax Forms: Ensure calculated fields match underlying data.