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Details

The Fix

pip install pydantic==2.7.2

Based on closed pydantic/pydantic issue #9397 · 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
@@ -1117,6 +1117,25 @@ except PydanticUserError as exc_info: ``` + +## [`with_config`][pydantic.config.with_config] is used on a `BaseModel` subclass {#with-config-on-model} +
fix.md
Option A — Upgrade to fixed release\npip install pydantic==2.7.2\nWhen NOT to use: This fix is not applicable if `with_config` is intended for non-Pydantic models.\n\n

Why This Fix Works in Production

  • Trigger: From https://github.com/pydantic/pydantic/issues/9389#issuecomment-2095723828, I think using `with_config` with a Pydantic model should be disallowed and…
  • Mechanism: Using `with_config` on a Pydantic model leads to runtime errors
  • Why the fix works: Disallow usage of `with_config` on a Pydantic model, resulting in a runtime error. (first fixed release: 2.7.2).
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

  • Using `with_config` on a Pydantic model leads to runtime errors
  • Production symptom (often without a traceback): From https://github.com/pydantic/pydantic/issues/9389#issuecomment-2095723828, I think using `with_config` with a Pydantic model should be disallowed and result in a runtime error.

Proof / Evidence

Discussion

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

“### Initial Checks - [X] I have searched Google & GitHub for similar requests and couldn't find anything - [X] I have read and followed the docs and still think this feature is missing ### Description From https://github.com/pydantic/pydant”
Issue thread · issue description · source

Failure Signature (Search String)

  • From https://github.com/pydantic/pydantic/issues/9389#issuecomment-2095723828, I think using `with_config` with a Pydantic model should be disallowed and result in a runtime error.
  • - [ ] [Compatibility between releases](https://docs.pydantic.dev/changelog/)
Copy-friendly signature
signature.txt
Failure Signature ----------------- From https://github.com/pydantic/pydantic/issues/9389#issuecomment-2095723828, I think using `with_config` with a Pydantic model should be disallowed and result in a runtime error. - [ ] [Compatibility between releases](https://docs.pydantic.dev/changelog/)

Error Message

Signature-only (no traceback captured)
error.txt
Error Message ------------- From https://github.com/pydantic/pydantic/issues/9389#issuecomment-2095723828, I think using `with_config` with a Pydantic model should be disallowed and result in a runtime error. - [ ] [Compatibility between releases](https://docs.pydantic.dev/changelog/)

What Broke

Runtime errors occur when `with_config` is incorrectly applied to Pydantic models.

Why It Broke

Using `with_config` on a Pydantic model leads to runtime errors

Fix Options (Details)

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

pip install pydantic==2.7.2

When NOT to use: This fix is not applicable if `with_config` is intended for non-Pydantic models.

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/9398

First fixed release: 2.7.2

Last verified: 2026-02-09. Validate in your environment.

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When NOT to Use This Fix

  • This fix is not applicable if `with_config` is intended for non-Pydantic models.

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
2.7.2 Fixed

Related Issues

No related fixes found.

Sources

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