Jump to solution
Verify

The Fix

pip install pydantic==1.10.16

Based on closed pydantic/pydantic issue #9575 · 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
@@ -723,17 +723,27 @@ print(Model.model_json_schema()['properties']['deprecated_field']) ### `deprecated` via the `warnings.deprecated` decorator +!!! note + You can only use the `deprecated` decorator in this way if you have + `typing_extensions` >= 4.9.0 installed.
repro.py
from typing_extensions import Annotated, deprecated from pydantic import BaseModel, Field class Model(BaseModel): deprecated_field: Annotated[int, deprecated('This is deprecated')] # Or explicitly using `Field`: alt_form: Annotated[int, Field(deprecated=deprecated('This is deprecated'))] print(Model.model_json_schema()['properties']['deprecated_field'])
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==1.10.16\nWhen NOT to use: This fix is not applicable if using a version of typing_extensions lower than 4.9.\n\n

Why This Fix Works in Production

  • Trigger: pydantic version: v2.7.2, pydantic-core version: v2.18.3
  • Mechanism: The deprecation decorator was not functioning correctly due to a version mismatch with typing_extensions
  • Why the fix works: Updated the documentation to clarify the usage of the `deprecated` decorator with a version requirement for `typing_extensions`. (first fixed release: 1.10.16).
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

  • Shows up under Python 3.11 in real deployments (not just unit tests).
  • The deprecation decorator was not functioning correctly due to a version mismatch with typing_extensions
  • Surfaces as: pydantic version: v2.7.2, pydantic-core version: v2.18.3

Proof / Evidence

Discussion

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

“> besides, no warnings are raised whatsoever when I created the model, when I instantiated it, when I access or modified to deprecated field”
@MarcBresson · 2024-06-05 · source
“@MarcBresson, I think you need typing_extensions >= 4.9 for this to work, I'll work on a fix for the docs.”
@sydney-runkle · 2024-06-05 · source

Failure Signature (Search String)

  • pydantic version: v2.7.2, pydantic-core version: v2.18.3

Error Message

Stack trace
error.txt
Error Message ------------- pydantic version: v2.7.2, pydantic-core version: v2.18.3 Traceback (most recent call last): File "", line 6, in File "/lib/python3.11/site-packages/pydantic/_internal/_model_construction.py", line 215, in __new__ set_deprecated_descriptors(cls) File "/lib/python3.11/site-packages/pydantic/_internal/_model_construction.py", line 580, in set_deprecated_descriptors if (msg := field_info.deprecation_message) is not None: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/lib/python3.11/site-packages/pydantic/fields.py", line 530, in deprecation_message return self.deprecated if isinstance(self.deprecated, str) else self.deprecated.message ^^^^^^^^^^^^^^^^^^^^^^^ AttributeError: 'function' object has no attribute 'message'

Minimal Reproduction

repro.py
from typing_extensions import Annotated, deprecated from pydantic import BaseModel, Field class Model(BaseModel): deprecated_field: Annotated[int, deprecated('This is deprecated')] # Or explicitly using `Field`: alt_form: Annotated[int, Field(deprecated=deprecated('This is deprecated'))] print(Model.model_json_schema()['properties']['deprecated_field'])

Environment

  • Python: 3.11
  • Pydantic: 2

What Broke

Users encountered AttributeError when using deprecated fields in Pydantic models.

Why It Broke

The deprecation decorator was not functioning correctly due to a version mismatch with typing_extensions

Fix Options (Details)

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

pip install pydantic==1.10.16

When NOT to use: This fix is not applicable if using a version of typing_extensions lower than 4.9.

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/9578

First fixed release: 1.10.16

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 is not applicable if using a version of typing_extensions lower than 4.9.

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
1.10.16 Fixed

Related Issues

No related fixes found.

Sources

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