Pydantic v2.7.0b1 throws error when using OpenAI SDK (Fix)

The Fix

pip install pydantic==2.7.0

Based on closed pydantic/pydantic issue #9191 · 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%.

Jump to Verify Open PR/Commit

@@ -536,7 +536,7 @@ def _model_schema(self, cls: type[BaseModel]) -> core_schema.CoreSchema:
                 assert cls.__mro__[-1] is object
                 for candidate_cls in cls.__mro__[:-1]:
-                    extras_annotation = candidate_cls.__annotations__.get('__pydantic_extra__', None)
+                    extras_annotation = getattr(candidate_cls, '__annotations__', {}).get('__pydantic_extra__', None)
                     if extras_annotation is not None:

repro.py

pydantic version: 2.7.0b1
pydantic-core version: 2.18.0
pydantic-core build: profile=release pgo=false
python version: 3.9.16 (main, Apr  2 2023, 22:08:02)  [Clang 14.0.0 (clang-1400.0.29.202)]
platform: macOS-14.2.1-arm64-arm-64bit
related packages: mypy-1.9.0 typing_extensions-4.10.0 fastapi-0.109.2 pydantic-settings-2.2.1

verify

Re-run the minimal reproduction on your broken version, then apply the fix and re-run.

fix.md

Option A — Upgrade to fixed release\npip install pydantic==2.7.0\nWhen NOT to use: This fix should not be applied if using a version of Pydantic prior to 2.0.\n\n

Why This Fix Works in Production

Trigger: AttributeError: type object 'Generic' has no attribute '__annotations__'
Mechanism: Fixes an issue where using OpenAI SDK with Pydantic V2.7.0b1 resulted in an AttributeError related to the Generic class.
Why the fix works: Fixes an issue where using OpenAI SDK with Pydantic V2.7.0b1 resulted in an AttributeError related to the Generic class. (first fixed release: 2.7.0).

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

Shows up under Python 3.9 in real deployments (not just unit tests).
Surfaces as: AttributeError: type object 'Generic' has no attribute '__annotations__'

Proof / Evidence

GitHub issue: #9191
Fix PR: https://github.com/pydantic/pydantic/pull/9193
First fixed release: 2.7.0
Reproduced locally: No (not executed)
Last verified: 2026-02-09
Confidence: 0.85
Did this fix it?: Yes (upstream fix exists)
Own content ratio: 0.50

Discussion

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

Jump to Sources Open on GitHub

“Great catch, thank you. We'll look into it.”

@samuelcolvin · 2024-04-08 · source

“Oh nevermind, I was able to reproduce it once I switched to python 3.9”

@dmontagu · 2024-04-09 · source

“We've found the issue and will open a PR with a fix shortly! Should be fixed for 2.7 :).”

@sydney-runkle · 2024-04-09 · source

“@willbakst I think this is a small enough fix that we'll just go ahead with 2.7, but perhaps you could test against main to confirm…”

@sydney-runkle · 2024-04-09 · source

Failure Signature (Search String)

AttributeError: type object 'Generic' has no attribute '__annotations__'

Error Message

Stack trace

error.txt

Error Message
-------------
AttributeError: type object 'Generic' has no attribute '__annotations__'

Minimal Reproduction

repro.py

pydantic version: 2.7.0b1
pydantic-core version: 2.18.0
pydantic-core build: profile=release pgo=false
python version: 3.9.16 (main, Apr  2 2023, 22:08:02)  [Clang 14.0.0 (clang-1400.0.29.202)]
platform: macOS-14.2.1-arm64-arm-64bit
related packages: mypy-1.9.0 typing_extensions-4.10.0 fastapi-0.109.2 pydantic-settings-2.2.1

Environment

Python: 3.9
Pydantic: 2

Fix Options (Details)

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

pip install pydantic==2.7.0

When NOT to use: This fix should not be applied if using a version of Pydantic prior to 2.0.

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/9193

First fixed release: 2.7.0

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

When NOT to Use This Fix

This fix should not be applied if using a version of Pydantic prior to 2.0.

Verify Fix

verify

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
2.7.0	Fixed

Related Issues

No related fixes found.

Cluster: pydantic:configuration-error Pydantic hub Pydantic best practices All hubs All clusters

Related clusters: Data consistency OpenAPI schema Serialization

Sources

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