[Bugfix] Fix xgrammar feature gate bypass when JSON Schema type is a list#48416
[Bugfix] Fix xgrammar feature gate bypass when JSON Schema type is a list#48416CaiJohn wants to merge 1 commit into
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`has_xgrammar_unsupported_json_features` guards each unsupported-feature
check behind a scalar `type` comparison, e.g. `obj.get("type") == "string"`
or `obj.get("type") in ("integer", "number")`. JSON Schema also allows
`type` to be a list (e.g. `{"type": ["integer", "null"]}`), for which these
comparisons are always false, so the checks are skipped entirely.
As a result, schemas that are semantically equivalent to a flagged scalar
schema slip through the gate: `multipleOf`, unsupported string `format`,
object `patternProperties`/`propertyNames`, and array
`uniqueItems`/`contains`/`minContains`/`maxContains` are no longer
detected once `type` is written as a list. In the default `auto` backend
mode this gate decides whether to keep the request on xgrammar or fall
back to a backend that can enforce the constraint; a bypass leaves the
request on xgrammar, which cannot express e.g. `multipleOf` and silently
drops the constraint at compile time (verified: the compiled grammar for
`{"type": ["integer", "null"], "multipleOf": 3}` accepts `7`).
The trigger is that `type` is a list at all, not the presence of `null`.
Normalize `type` to a set of strings via a `_types_of` helper and match
against it, so scalar and list forms behave identically. Tests cover the
list-`type` bypass across every unsupported family (single-element,
nullable, and multi-type lists), that benign list-`type` schemas stay
supported, and that request validation rejects a list-`type` unsupported
schema the same way it rejects the scalar one.
Signed-off-by: john <6712432+CaiJohn@users.noreply.github.com>
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Purpose
has_xgrammar_unsupported_json_featuresgates every unsupported-feature checkbehind a scalar
typecomparison (obj.get("type") == "string",obj.get("type") in ("integer", "number"), etc.). JSON Schema also permitstypeto be a list (e.g.{"type": ["integer", "null"]}), for which thesecomparisons are always false, so the checks are skipped entirely.
Because of this, schemas that are semantically equivalent to a flagged scalar
schema slip through the gate once
typeis written as a list:{"type": "integer", "multipleOf": 3}{"type": ["integer", "null"], "multipleOf": 3}The same bypass applies to unsupported string
format, objectpatternProperties/propertyNames, and arrayuniqueItems/contains/minContains/maxContains.In the default
autobackend mode this gate decides whether to keep therequest on xgrammar or fall back to a backend that can enforce the constraint.
A bypass keeps the request on xgrammar, which cannot express e.g.
multipleOfand silently drops the constraint at compile time — the model then produces
output that violates the user's schema, with no error. This is observable at
the acceptance level: the grammar that xgrammar compiles for
{"type": ["integer", "null"], "multipleOf": 3}accepts7, which is not amultiple of 3.
The trigger is that
typeis a list at all — not the presence ofnull(a single-element list
{"type": ["integer"]}bypasses just the same).The fix normalizes
typeto a set of strings via a small_types_ofhelperand matches against it, so scalar and list forms behave identically.
Test Plan
New tests in
tests/v1/structured_output/test_utils.py:test_unsupported_json_features_with_list_type— every unsupported family isdetected for list-
type, covering single-element, nullable, and multi-typelists so the invariant (list vs. scalar, not
null) is explicit.test_supported_list_type_json_features— benign list-typeschemas(e.g.
{"type": ["string", "null"], "format": "email"}) stay supported.test_validate_xgrammar_grammar_rejects_unsupported_schema— request-timevalidation rejects the list-
typeschema the same way it rejects the scalarone, instead of letting it reach xgrammar.
Test Result
Before the fix, the list-
typecases fail (gate returnsFalsefor{"type": ["integer", "null"], "multipleOf": 3}, and validation does notraise); after, they pass.
AI-assisted: the fix and tests were drafted with Claude Code. I reviewed every
line, verified the bug and fix end-to-end on CPU, and ran the test suite myself.