The Fix
pip install pydantic==1.10.19
Based on closed pydantic/pydantic issue #10577 · 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%.
@@ -51,7 +51,7 @@ from datetime import datetime
from pydantic import BaseModel
-from pydantic.experimental.pipeline import validate_as, validate_as_deferred
+from pydantic.experimental.pipeline import validate_as
Option A — Upgrade to fixed release\npip install pydantic==1.10.19\nWhen NOT to use: Do not apply this fix if the type annotations are already correctly defined.\n\n
Why This Fix Works in Production
- Trigger: Incorrect type annotations led to potential type evaluation issues in production.
- Mechanism: Refactor namespace logic for annotations evaluation, correcting type annotations in `_typing_extra`.
- Why the fix works: Refactor namespace logic for annotations evaluation, correcting type annotations in `_typing_extra`. (first fixed release: 1.10.19).
- 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
- Production symptom (often without a traceback): Incorrect type annotations led to potential type evaluation issues in production.
Proof / Evidence
- GitHub issue: #10577
- Fix PR: https://github.com/pydantic/pydantic/pull/10530
- First fixed release: 1.10.19
- Reproduced locally: No (not executed)
- Last verified: 2026-02-09
- Confidence: 0.95
- Did this fix it?: Yes (upstream fix exists)
- Own content ratio: 0.73
Discussion
High-signal excerpts from the issue thread (symptoms, repros, edge-cases).
“@Viicos is fixing these in https://github.com/pydantic/pydantic/pull/10530, which should merge in the next few days. Thanks for pointing this out!”
Failure Signature (Search String)
- Incorrect type annotations led to potential type evaluation issues in production.
Copy-friendly signature
Failure Signature
-----------------
Incorrect type annotations led to potential type evaluation issues in production.
Error Message
Signature-only (no traceback captured)
Error Message
-------------
Incorrect type annotations led to potential type evaluation issues in production.
Environment
- Pydantic: 2
What Broke
Incorrect type annotations led to potential type evaluation issues in production.
Fix Options (Details)
Option A — Upgrade to fixed release Safe default (recommended)
pip install pydantic==1.10.19
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/10530
First fixed release: 1.10.19
Last verified: 2026-02-09. Validate in your environment.
When NOT to Use This Fix
- Do not apply this fix if the type annotations are already correctly defined.
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 |
|---|---|
| 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.