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The Fix

pip install pydantic==2.7.1

Based on closed pydantic/pydantic issue #9122 · 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%.

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@@ -721,7 +721,7 @@ def __copy__(self: Model) -> Model: _object_setattr(m, '__pydantic_fields_set__', copy(self.__pydantic_fields_set__)) - if self.__pydantic_private__ is None: + if not hasattr(self, '__pydantic_private__') or self.__pydantic_private__ is None: _object_setattr(m, '__pydantic_private__', None)
repro.py
pydantic-core version: 2.16.3 pydantic-core build: profile=release pgo=true install path: /home/dave/axial/src/services/axial-api.git/venv/lib/python3.11/site-packages/pydantic python version: 3.11.8 (main, Feb 25 2024, 16:41:26) [GCC 9.4.0] platform: Linux-5.15.0-1056-aws-x86_64-with-glibc2.31 related packages: fastapi-0.110.0 typing_extensions-4.10.0 mypy-1.9.0 commit: unknown
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==2.7.1\nWhen NOT to use: Do not use this fix if the model does not define model_post_init.\n\n

Why This Fix Works in Production

  • Trigger: Cannot use model_copy(deep=True) on a model instance which was created using model_construct, when there is a model_post_init in the class hierarchy.
  • Mechanism: The model_copy method fails due to an unset __pydantic_private__ attribute when using model_construct
  • Why the fix works: Addresses an AttributeError that occurs when using model_copy on a model constructed with model_construct and having a model_post_init method. (first fixed release: 2.7.1).
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 3.11 in real deployments (not just unit tests).
  • The model_copy method fails due to an unset __pydantic_private__ attribute when using model_construct
  • Surfaces as: File "/home/dave/test_deepcopy.py", line 21, in <module>\n main()\n File "/home/dave/test_deepcopy.py", line 17, in main\n m.model_copy(deep=True)\n File…

Proof / Evidence

Discussion

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

“Looks like a bug! Thanks for reporting this!”
@sydney-runkle · 2024-03-29 · source
“It occurs to me that maybe this simple patch would be sufficient to fix this”
@babygrimes · 2024-04-03 · source
“@babygrimes, Please open a PR, I'd be happy to review!”
@sydney-runkle · 2024-04-03 · source

Failure Signature (Search String)

  • Cannot use model_copy(deep=True) on a model instance which was created using model_construct, when there is a model_post_init in the class hierarchy.

Error Message

Stack trace
error.txt
Error Message ------------- File "/home/dave/test_deepcopy.py", line 21, in <module>\n main()\n File "/home/dave/test_deepcopy.py", line 17, in main\n m.model_copy(deep=True)\n File "/home/dave/axial/src/services/axial-api.git/venv/lib/python3.11/site-packages/pydantic/main.py", line 266, in model_copy\n copied = self.__deepcopy__() if deep else self.__copy__()\n ^^^^^^^^^^^^^^^^^^^\n File "/home/dave/axial/src/services/axial-api.git/venv/lib/python3.11/site-packages/pydantic/main.py", line 723, in __deepcopy__\n if self.__pydantic_private__ is None:\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/home/dave/axial/src/services/axial-api.git/venv/lib/python3.11/site-packages/pydantic/main.py", line 764, in __getattr__\n return super().__getattribute__(item) # Raises AttributeError if appropriate\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Minimal Reproduction

repro.py
pydantic-core version: 2.16.3 pydantic-core build: profile=release pgo=true install path: /home/dave/axial/src/services/axial-api.git/venv/lib/python3.11/site-packages/pydantic python version: 3.11.8 (main, Feb 25 2024, 16:41:26) [GCC 9.4.0] platform: Linux-5.15.0-1056-aws-x86_64-with-glibc2.31 related packages: fastapi-0.110.0 typing_extensions-4.10.0 mypy-1.9.0 commit: unknown

Environment

  • Python: 3.11
  • Pydantic: 2

What Broke

Users experience AttributeError when attempting to copy models constructed with model_construct.

Why It Broke

The model_copy method fails due to an unset __pydantic_private__ attribute when using model_construct

Fix Options (Details)

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

pip install pydantic==2.7.1

When NOT to use: Do not use this fix if the model does not define model_post_init.

Use when you can deploy the upstream fix. It is usually lower-risk than long-lived workarounds.

Option D — Guard side-effects with OnceOnly Guardrail for side-effects

Mitigate duplicate external side-effects under retries/timeouts/agent loops by gating the operation before calling external systems.

  • Place OnceOnly between your code/agent and real side-effects (Stripe, emails, CRM, APIs).
  • Use a stable key per side-effect (e.g., customer_id + action + idempotency_key).
  • Fail-safe: configure fail-open vs fail-closed based on blast radius and spend risk.
Show example snippet (optional)
onceonly.py
from onceonly import OnceOnly import os once = OnceOnly(api_key=os.environ["ONCEONLY_API_KEY"], fail_open=True) # Stable idempotency key per real side-effect. # Use a request id / job id / webhook delivery id / Stripe event id, etc. event_id = "evt_..." # replace key = f"stripe:webhook:{event_id}" res = once.check_lock(key=key, ttl=3600) if res.duplicate: return {"status": "already_processed"} # Safe to execute the side-effect exactly once. handle_event(event_id)

See OnceOnly SDK

When NOT to use: Do not use this to hide logic bugs or data corruption. Use it to block duplicate external side-effects and enforce tool permissions/spend caps.

Fix reference: https://github.com/pydantic/pydantic/pull/9168

First fixed release: 2.7.1

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

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When NOT to Use This Fix

  • Do not use this fix if the model does not define model_post_init.
  • Do not use this to hide logic bugs or data corruption. Use it to block duplicate external side-effects and enforce tool permissions/spend caps.

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

VersionStatus
2.7.1 Fixed

Related Issues

No related fixes found.

Sources

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