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cc @chaunceyjiang for another look
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@xeophon I think we should add tests that check this bug |
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@arpera added! |
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Verified locally at head 93fee632 (base merge-base 41848ca) — the fix does what it claims and is regression-free.
Regression-proven (3/3): the new TestFixArgTypes cases all FAIL on the base worktree and PASS on head. Base failures are exactly the reported symptom:
test_root_alternative_branch_properties[anyOf/oneOf]— with a rootoneOf,payload: '{"n": 1}'(double-encoded JSON string) is left as a string becausefind_tool_properties()only sees directparameters.properties; the merged schema on head givespayloadtype: object, so the string is coerced to a dict.test_root_allof_refines_direct_property— nestedcountstays"42"on base (directpayloadschema has noproperties); head merges theallOfmember'spropertiesin, so the nested value is coerced to42. (Base assert observed:{'payload': {'count': '42'}} != {'payload': {'count': 42}}.)
No regressions: full tests/parser/engine/test_parser_engine.py 120/120 on head. tests/tool_parsers/test_utils.py + tests/tool_use/test_tool_choice_required.py: 34 failed / 303 passed on head — failure set byte-identical to base (CUDA-less structured-outputs env noise), zero new failures.
Logic read: the refactor of find_tool_properties unifies the iter_response_function_tool_info and _extract_tool_info paths into one loop with equivalent fall-through semantics (previously a name mismatch on a FunctionTool/NamespaceTool entry continued to the next tool; the inner loop now exhausts and the outer loop advances — same behavior). _root_schema_properties is sound: branch props with no cross-branch conflict (shared) are value-stable by construction, so coercion cannot flip-flop as the streaming parser sees more arguments — the prefix-invariant concern in the PR body is real and correctly avoided. _dict_properties correctly drops boolean subschemas. Const-only schemas (e.g. kind) carry no type, so extract_types_from_schema returns [] and _coerce_value leaves the value untouched — no crash path introduced.
Non-blocking nit (no change required): dict(params.get("properties", {})) will happily convert a malformed list-of-pairs properties instead of treating it as absent, and raises ValueError on other list shapes; the sibling helper _dict_properties already guards with isinstance(schema, dict). A one-line if not isinstance(params.get("properties"), dict): return {} guard would make the function total on malformed schemas. Purely defensive; real-world tool schemas pass properties as objects.
CI note: pre-run-check failure on the head is vllm's first-time-contributor gate (maintainer approval required), not a code failure — DCO/Summary/Meta checks pass.
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@xeophon, could you please check this agentic review report if it has anything valuable for your fix? |
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WalkthroughThe change adds root JSON Schema combinator handling for tool properties and constrained type inference. Parser coercion now resolves nested schemas, validates converted values, preserves incompatible values, and supports const-based and streaming type preservation. Tests cover composed schemas, strict nested alternatives, malformed combinators, and scalar coercion. ChangesSchema-aware argument typing
Estimated code review effort: 3 (Moderate) | ~25 minutes Sequence Diagram(s)sequenceDiagram
participant ParserEngine
participant get_schema_properties
participant extract_types_from_schema
participant coerce_to_schema_type
ParserEngine->>get_schema_properties: resolve composed property schemas
ParserEngine->>extract_types_from_schema: infer compatible types
extract_types_from_schema-->>ParserEngine: return constrained types
ParserEngine->>coerce_to_schema_type: convert argument values
coerce_to_schema_type-->>ParserEngine: return typed or original values
Merge Risk: 🟡 Moderate · up to The schema-combinator improvements are not yet merge-ready because some alternative schemas may produce incorrect argument types, while malformed property schemas can abort tool-argument parsing instead of preserving the original value. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✨ Finishing Touches 💡 1🛠️ Fix failing CI checks 💡
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- Line 312: Update the schema merge logic around `schema = base | schema` to
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those satisfying every allOf member. Add a regression test covering conflicting
direct and allOf property types, including rejection of a float for an integer
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- Around line 304-305: Update the shared-property detection around the branches
comprehension so a property is added to shared only when every alternative
explicitly contains that property and its schema equals schema; do not use a
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In `@vllm/parser/engine/parser_engine.py`:
- Around line 308-314: The validation path in _coerce_dict must handle malformed
property schemas before calling is_valid: run
Draft202012Validator.check_schema(prop), catch SchemaError alongside
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@arpera fixed those! the PR is now covering even more cases properly |
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Agent still points to some big gaps in this PR pr53729_agent_review2.md. Does this report make sense? |
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Thanks for this — the underlying gaps are real (root/nested combinators invisible to find_tool_properties, decoded objects not recursed, untyped props force-cast to string), and I'd like to see them fixed. But the current implementation has blocking problems:
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Uncaught exceptions on request-controlled schemas. The is_valid gate only catches (Unresolvable, UnknownType, TypeError). Main never raises on any schema; this branch raises on:
- {"type": "array", "items": [{"type": "integer"}]} with no $schema (draft-7 tuple form — pydantic v1 emits this) → AttributeError: 'list' object has no attribute 'get'
- "items": [], "properties": [1] → AttributeError
- "pattern": "[" → re.error
Nothing wraps _fix_arg_types, so this becomes a 500 / broken SSE stream from a client-supplied tool definition.
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Validation gate is over-strict and regresses existing behavior. Rejecting on value constraints (required, minimum, additionalProperties) means a model that omits one field now gets its stringified object left as a string — main returned an object. Example: {"item": "{"name":"Alice"}"} against the PR's own OpenAI schema → main: {"item": {"name": "Alice"}}, PR: {"item": "{"name":"Alice"}"}. Coercion should gate on type (plus enum/const), not full schema validity.
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~3.7× cost on a per-token path. _fix_arg_types runs on every streaming arg delta; this rebuilds a jsonschema validator and re-walks get_schema_properties each call (13.6 µs → 50 µs on a 4-property schema). The schema is static per request — compute once, not per delta.
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Stale base. find_tool_properties is removed, but vllm/tool_parsers/k2_horizon_tool_parser.py (#55063) imports it → ImportError on collection.
Assisted-by: Claude Code Signed-off-by: Xeophon <46377542+xeophon@users.noreply.github.com>
Assisted-by: Claude Code Signed-off-by: Xeophon <46377542+xeophon@users.noreply.github.com>
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Prepare reusable type constraints, preserve ambiguous declared names, and avoid repeating coercion for unchanged arguments within each tool call. Co-authored-by: Codex <noreply@openai.com> Signed-off-by: Xeophon <46377542+xeophon@users.noreply.github.com>
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Hi @xeophon, thank you once again for your fixes! I did careful review of this PR and I can say that the PR itself is very complicated in my opinion. Most of the complexity comes from trying to cover all possible cases for example with So, I tried to simplify your patch and at the same time deliver all the fixes your PR aims to do in a new PR #57005 where I added you as a co-author. I propose to look at this PR and tell if it covers all the needs you currently lack in vLLM. If there is any more cases that you would like to cover, please, notify me, I will extend the patch. What concerns this PR, I personally cannot approve it because I believe it is overcomplicated. Probably some other tool calling codeowners would approve this PR, but I feel like this is not right direction. Anyway, I will post a link to this your PR to #feat-tool-calling vLLM slack channel -- the main communication channel dedicated to tool calling feature in vLLM -- maybe we can have some more eyes on this change to see if it is viable or not. |
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hey @arpera! this is very valid (and correct, imo). the case i mostly care about (top-level allOf, anyOf, oneOf) is covered in your PR, which I agree is vastly superior. i will close my PR :) |
5 participants
Overview
Tool parameters declared inside root or nested
allOf,anyOf, andoneOfschemas can be missed during argument coercion. This change discovers conservative property hints in those schemas and reuses the existing scalar converters to repair nested objects and arrays in the shared Python parser engine.For example, when
itemis an object with a stringnameand integerage,{"item":"{\"name\":\"Alice\",\"age\":\"42\"}"}becomes{"item":{"name":"Alice","age":42}}. Missing required fields or unrelated size and value bounds do not prevent an otherwise useful type repair.Behavior and implementation
allOfrefinements are collected in a flat list, avoiding artificial nesting as the number of sibling refinements grows.enum, andconstconstraints within their object/array alternatives; unrelatedrequired, bounds, patterns, andadditionalPropertiesvalidation does not gate repairs.oneOfis treated as a union for coercion compatibility, without enforcing exclusive match counts. Unsupported or malformed schema entries are handled conservatively; this is not full JSON Schema validation or new$ref/tuple-item inference.find_tool_propertiesAPI remains available to K2 Horizon.Timing measurements
Local CPU measurements on macOS arm64, Python 3.14.6 and jsonschema 4.26.0; medians of seven batches, with tracing disabled during timing. Historical coercion methods and helpers were loaded from the listed revisions into the same interpreter. These measure parser work, excluding model generation and network I/O.
For a warm
_fix_arg_typescall with four properties (name: string,unit: string enum,count: integer,active: boolean) and input{"name":"Berlin","unit":"celsius","count":"42","active":"true"}:ae71862c51cdcf42278bThe following public-parser streaming replays isolate the additional benefit of argument-result reuse and DeepSeek's cached wrapper lookup. The comparison column already caches schema hints; it is not the earlier PR head above. Times include parser construction and replay-helper overhead.
string[]/integer[]alternative followed by a 600-character stringDeepSeek uses 341 one-character chunks; Qwen3 uses four-character chunks (184 for the object, 270 for the array). The object matches the last discriminator branch; the array contains numeric strings. Measurements came from successive local runs, not interleaved samples.
Separate untimed counters show DeepSeek property lookups falling from 11 to 1 per replay. Both Qwen3 replays reduce repeated compatibility checks of the unchanged payload from 158 to 1; alternative visits fall from 1,264 to 8 for the object and from 316 to 2 for the array. JSON parsing, serialization, prefix checks, and validation of changing values still run. Warm timings exclude first-use schema preparation, and these results do not establish serving-throughput improvements.
This addresses object-combinator property discovery in the shared parser engine, extending beyond the older Qwen property-level
anyOfwork in #36032 and direct-property$refresolution in #50933. AI assistance was used to develop this change.