The Fix
pip install pydantic==2.10.0
Based on closed pydantic/pydantic issue #10615 · PR/commit linked
Production note: Watch p95/p99 latency and retry volume; timeouts can turn into retry storms and duplicate side-effects.
@@ -11,6 +11,7 @@
from ..dataclasses import PydanticDataclass
from ..main import BaseModel
+ from ..type_adapter import TypeAdapter
Option A — Upgrade to fixed release\npip install pydantic==2.10.0\nWhen NOT to use: Do not use this fix if the type adapter's behavior is expected to change significantly.\n\n
Why This Fix Works in Production
- Trigger: Users experienced issues with type adaptation leading to incorrect validations.
- Mechanism: The type adapter logic was overly complex, requiring simplification
- Why the fix works: Adds a `rebuild()` method for `TypeAdapter` and simplifies `defer_build` patterns, addressing complexity in the type adapter logic. (first fixed release: 2.10.0).
- If left unfixed, tail latency can spike under load and surface as timeouts/retries (amplifying incident impact).
Why This Breaks in Prod
- The type adapter logic was overly complex, requiring simplification
- Production symptom (often without a traceback): Users experienced issues with type adaptation leading to incorrect validations.
Proof / Evidence
- GitHub issue: #10615
- Fix PR: https://github.com/pydantic/pydantic/pull/10537
- First fixed release: 2.10.0
- Reproduced locally: No (not executed)
- Last verified: 2026-02-09
- Confidence: 0.75
- Did this fix it?: Yes (upstream fix exists)
- Own content ratio: 0.82
Discussion
High-signal excerpts from the issue thread (symptoms, repros, edge-cases).
“Update, surprise surprise, conference week isn't a good week to try to get things done”
Failure Signature (Search String)
- Users experienced issues with type adaptation leading to incorrect validations.
Copy-friendly signature
Failure Signature
-----------------
Users experienced issues with type adaptation leading to incorrect validations.
Error Message
Signature-only (no traceback captured)
Error Message
-------------
Users experienced issues with type adaptation leading to incorrect validations.
What Broke
Users experienced issues with type adaptation leading to incorrect validations.
Why It Broke
The type adapter logic was overly complex, requiring simplification
Fix Options (Details)
Option A — Upgrade to fixed release Safe default (recommended)
pip install pydantic==2.10.0
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/10537
First fixed release: 2.10.0
Last verified: 2026-02-09. Validate in your environment.
When NOT to Use This Fix
- Do not use this fix if the type adapter's behavior is expected to change significantly.
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 |
|---|---|
| 2.10.0 | Fixed |
Related Issues
No related fixes found.
Sources
We don’t republish the full GitHub discussion text. Use the links above for context.