The Fix
pip install pydantic==2.11.0
Based on closed pydantic/pydantic issue #11470 · PR/commit linked
@@ -250,7 +250,6 @@ By leveraging the new [`type` statement](https://typing.readthedocs.io/en/latest
from annotated_types import Gt
- from typing_extensions import TypeAliasType
from pydantic import BaseModel
pydantic version: 2.10.6
pydantic-core version: 2.27.2
pydantic-core build: profile=release pgo=false
install path: /path/to/venv/lib/python3.13/site-packages/pydantic
python version: 3.13.1 (main, Dec 3 2024, 17:59:52) [Clang 19.1.5 ]
platform: macOS-15.3.1-arm64-arm-64bit-Mach-O
related packages: mypy-1.15.0 fastapi-0.115.8 pydantic-settings-2.7.1 typing_extensions-4.12.2
commit: unknown
Re-run the minimal reproduction on your broken version, then apply the fix and re-run.
Option A — Upgrade to fixed release\npip install pydantic==2.11.0\nWhen NOT to use: This fix should not be applied if backward compatibility with previous Pydantic versions is required.\n\n
Why This Fix Works in Production
- Trigger: Schema generation loses Field annotations when using PEP 695 type alias syntax
- Mechanism: Pydantic fails to include Field annotations in JSON schemas when using PEP 695 type alias syntax
- Why the fix works: Fixes the JSON Schema generation issue where Field annotations were lost when using PEP 695 type alias syntax. (first fixed release: 2.11.0).
- If left unfixed, this can cause silent data inconsistencies that propagate (bad cache entries, incorrect downstream decisions).
Why This Breaks in Prod
- Shows up under Python 3.13 in real deployments (not just unit tests).
- Pydantic fails to include Field annotations in JSON schemas when using PEP 695 type alias syntax
- Production symptom (often without a traceback): Schema generation loses Field annotations when using PEP 695 type alias syntax
Proof / Evidence
- GitHub issue: #11470
- Fix PR: https://github.com/pydantic/pydantic/pull/11475
- First fixed release: 2.11.0
- Reproduced locally: No (not executed)
- Last verified: 2026-02-09
- Confidence: 0.95
- Did this fix it?: Yes (upstream fix exists)
- Own content ratio: 0.59
Discussion
High-signal excerpts from the issue thread (symptoms, repros, edge-cases).
“This just so happens to have been discussed not long ago here.”
Failure Signature (Search String)
- Schema generation loses Field annotations when using PEP 695 type alias syntax
- When declaring a type with a PEP 695 type alias, Pydantic does not include details provided via a `Field` annotation (like `examples`, `description`, `alias`, etc.) in generated
Copy-friendly signature
Failure Signature
-----------------
Schema generation loses Field annotations when using PEP 695 type alias syntax
When declaring a type with a PEP 695 type alias, Pydantic does not include details provided via a `Field` annotation (like `examples`, `description`, `alias`, etc.) in generated JSON schemas.
Error Message
Signature-only (no traceback captured)
Error Message
-------------
Schema generation loses Field annotations when using PEP 695 type alias syntax
When declaring a type with a PEP 695 type alias, Pydantic does not include details provided via a `Field` annotation (like `examples`, `description`, `alias`, etc.) in generated JSON schemas.
Minimal Reproduction
pydantic version: 2.10.6
pydantic-core version: 2.27.2
pydantic-core build: profile=release pgo=false
install path: /path/to/venv/lib/python3.13/site-packages/pydantic
python version: 3.13.1 (main, Dec 3 2024, 17:59:52) [Clang 19.1.5 ]
platform: macOS-15.3.1-arm64-arm-64bit-Mach-O
related packages: mypy-1.15.0 fastapi-0.115.8 pydantic-settings-2.7.1 typing_extensions-4.12.2
commit: unknown
Environment
- Python: 3.13
- Pydantic: 2
What Broke
Generated JSON schemas lack expected metadata, leading to incomplete API documentation.
Why It Broke
Pydantic fails to include Field annotations in JSON schemas when using PEP 695 type alias syntax
Fix Options (Details)
Option A — Upgrade to fixed release Safe default (recommended)
pip install pydantic==2.11.0
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/11475
First fixed release: 2.11.0
Last verified: 2026-02-09. Validate in your environment.
When NOT to Use This Fix
- This fix should not be applied if backward compatibility with previous Pydantic versions is required.
Verify Fix
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
| Version | Status |
|---|---|
| 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.