Jump to solution
Verify

The Fix

pip install pydantic==1.10.19

Based on closed pydantic/pydantic issue #10498 · 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%.

Jump to Verify Open PR/Commit
@@ -201,7 +201,7 @@ def apply_known_metadata(annotation: Any, schema: CoreSchema) -> CoreSchema | No import annotated_types as at - from ._validators import forbid_inf_nan_check, get_constraint_validator + from ._validators import NUMERIC_VALIDATOR_LOOKUP, forbid_inf_nan_check
repro.py
import decimal from pydantic import BaseModel, Field, BeforeValidator from typing import Annotated DecimalAnnotation = Annotated[decimal.Decimal, BeforeValidator(lambda v: v)] class ExampleSchema(BaseModel): example_value: DecimalAnnotation | None = Field(max_digits=10, decimal_places=4)
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==1.10.19\nWhen NOT to use: This fix should not be used if the application relies on previous behavior of Pydantic 2.8.\n\n

Why This Fix Works in Production

  • Trigger: `Optional[Decimal]` with field constraints error: Unable to apply constraint 'max_digits' to schema of type 'function-after'
  • Mechanism: The Pydantic library fails to apply 'max_digits' and 'decimal_places' constraints to Decimal fields when using annotations
  • Why the fix works: Adds Python validators for decimal constraints, specifically addressing issues with applying 'max_digits' and 'decimal_places' constraints to annotated fields in Pydantic. (first fixed release: 1.10.19).
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

  • The Pydantic library fails to apply 'max_digits' and 'decimal_places' constraints to Decimal fields when using annotations
  • Production symptom (often without a traceback): `Optional[Decimal]` with field constraints error: Unable to apply constraint 'max_digits' to schema of type 'function-after'

Proof / Evidence

Discussion

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

“@JoelRaymann, Could you please send a reproducible example (with imports, etc)? Happy to look into this for you.”
@sydney-runkle · 2024-09-26 · source
“@sydney-runkle So based on your suggestion, I should do this right: Am I right? or am I missing something?”
@JoelRaymann · 2024-09-27 · source
“Ok”
@JoelRaymann · 2024-09-26 · source
“Re 1: Because of https://github.com/pydantic/pydantic/blob/728d3d9f41c480d35c1188f56cc360bae93f0543/pydantic/fields.py#L371”
@sydney-runkle · 2024-09-27 · source

Failure Signature (Search String)

  • `Optional[Decimal]` with field constraints error: Unable to apply constraint 'max_digits' to schema of type 'function-after'
  • Still, nothing works. I am still getting the `RuntimeError: Unable to apply constraint 'max_digits' to schema of type 'function-after'`.
Copy-friendly signature
signature.txt
Failure Signature ----------------- `Optional[Decimal]` with field constraints error: Unable to apply constraint 'max_digits' to schema of type 'function-after' Still, nothing works. I am still getting the `RuntimeError: Unable to apply constraint 'max_digits' to schema of type 'function-after'`.

Error Message

Signature-only (no traceback captured)
error.txt
Error Message ------------- `Optional[Decimal]` with field constraints error: Unable to apply constraint 'max_digits' to schema of type 'function-after' Still, nothing works. I am still getting the `RuntimeError: Unable to apply constraint 'max_digits' to schema of type 'function-after'`.

Minimal Reproduction

repro.py
import decimal from pydantic import BaseModel, Field, BeforeValidator from typing import Annotated DecimalAnnotation = Annotated[decimal.Decimal, BeforeValidator(lambda v: v)] class ExampleSchema(BaseModel): example_value: DecimalAnnotation | None = Field(max_digits=10, decimal_places=4)

Environment

  • Pydantic: 2

Why It Broke

The Pydantic library fails to apply 'max_digits' and 'decimal_places' constraints to Decimal fields when using annotations

Fix Options (Details)

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

pip install pydantic==1.10.19

When NOT to use: This fix should not be used if the application relies on previous behavior of Pydantic 2.8.

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/10506

First fixed release: 1.10.19

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

Get updates

We publish verified fixes weekly. No spam.

Subscribe

When NOT to Use This Fix

  • This fix should not be used if the application relies on previous behavior of Pydantic 2.8.

Verify Fix

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

Did This Fix Work in Your Case?

Quick signal helps us prioritize which fixes to verify and improve.

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
1.10.19 Fixed

Related Issues

No related fixes found.

Sources

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