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The Fix

pip install pydantic==2.11.0

Based on closed pydantic/pydantic issue #11341 · PR/commit linked

Production note: Most teams hit this during upgrades or environment changes. Roll out with a canary and smoke critical endpoints (health, OpenAPI/docs) before 100%.

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@@ -3,6 +3,7 @@ from collections.abc import Iterable from copy import copy +from decimal import Decimal from functools import lru_cache, partial from typing import TYPE_CHECKING, Any
repro.py
from decimal import Decimal from pydantic import BaseModel, Field class Model(BaseModel): other_amt: Decimal = Field( decimal_places=1, multiple_of=0.5, le=2 ) m = Model(other_amt=Decimal("1.4")) m_json = m.model_dump_json() m_from_json = Model.model_validate_json(m_json) #> TypeError: unsupported operand type(s) for /: 'decimal.Decimal' and 'float'
verify
Re-run the minimal reproduction on your broken version, then apply the fix and re-run.
fix.md
Option A — Upgrade to fixed release\npip install pydantic==2.11.0\nWhen NOT to use: This fix is not applicable if decimal constraints should remain as floats.\n\n

Why This Fix Works in Production

  • Trigger: SchemaError: Error building "model-fields" validator:
  • Mechanism: Decimal constraints were not coerced to Decimal instances during schema validation
  • Why the fix works: Coerces decimal constraints to `Decimal` instances, addressing issues with core schema validation being disabled. (first fixed release: 2.11.0).
Production impact:
  • If left unfixed, the same config can fail only in production (env differences), causing startup failures or partial feature outages.

Why This Breaks in Prod

  • Decimal constraints were not coerced to Decimal instances during schema validation
  • Surfaces as: SchemaError: Error building "model-fields" validator:

Proof / Evidence

Discussion

High-signal excerpts from the issue thread (symptoms, repros, edge-cases).

“I went through all the core schemas types”
@Viicos · 2025-01-27 · source

Failure Signature (Search String)

  • SchemaError: Error building "model-fields" validator:

Error Message

Stack trace
error.txt
Error Message ------------- SchemaError: Error building "model-fields" validator: SchemaError: Field "a": SchemaError: Error building "int" validator: TypeError: Expected int, got <class 'float'>

Minimal Reproduction

repro.py
from decimal import Decimal from pydantic import BaseModel, Field class Model(BaseModel): other_amt: Decimal = Field( decimal_places=1, multiple_of=0.5, le=2 ) m = Model(other_amt=Decimal("1.4")) m_json = m.model_dump_json() m_from_json = Model.model_validate_json(m_json) #> TypeError: unsupported operand type(s) for /: 'decimal.Decimal' and 'float'

What Broke

TypeError occurred when validating models with decimal constraints.

Why It Broke

Decimal constraints were not coerced to Decimal instances during schema validation

Fix Options (Details)

Option A — Upgrade to fixed release Safe default (recommended)

pip install pydantic==2.11.0

When NOT to use: This fix is not applicable if decimal constraints should remain as floats.

Use when you can deploy the upstream fix. It is usually lower-risk than long-lived workarounds.

Fix reference: https://github.com/pydantic/pydantic/pull/11350

First fixed release: 2.11.0

Last verified: 2026-02-09. Validate in your environment.

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When NOT to Use This Fix

  • This fix is not applicable if decimal constraints should remain as floats.

Verify Fix

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Re-run the minimal reproduction on your broken version, then apply the fix and re-run.

Did This Fix Work in Your Case?

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Prevention

  • Add a CI check that diffs key outputs after upgrades (OpenAPI schema snapshots, JSON payload shapes, CLI output).
  • Upgrade behind a canary and run integration tests against the canary before 100% rollout.

Version Compatibility Table

VersionStatus
2.11.0 Fixed

Related Issues

No related fixes found.

Sources

We don’t republish the full GitHub discussion text. Use the links above for context.