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Details

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%.

Open PR/Commit
@@ -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
fix.md
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).
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

  • Production symptom (often without a traceback): Incorrect type annotations led to potential type evaluation issues in production.

Proof / Evidence

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!”
@sydney-runkle · 2024-10-08 · source

Failure Signature (Search String)

  • Incorrect type annotations led to potential type evaluation issues in production.
Copy-friendly signature
signature.txt
Failure Signature ----------------- Incorrect type annotations led to potential type evaluation issues in production.

Error Message

Signature-only (no traceback captured)
error.txt
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

When NOT to use: Do not apply this fix if the type annotations are already correctly defined.

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.

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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

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.