The Fix
pip install pydantic==2.8.1
Based on closed pydantic/pydantic issue #9706 · 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%.
@@ -207,7 +207,15 @@ def path_schema_prepare_pydantic_annotations(
import pathlib
- if source_type not in {
+ orig_source_type: Any = get_origin(source_type) or source_type
+ if (
# main.py
import os
import pydantic
class Model(pydantic.BaseModel):
field: os.PathLike[str]
Re-run: python main.py
Option A — Upgrade to fixed release\npip install pydantic==2.8.1\nWhen NOT to use: Do not use if it changes public behavior or if the failure cannot be reproduced.\n\n
Why This Fix Works in Production
- Trigger: $ python main.py
- Mechanism: Fixes the issue with os.PathLike subtype handling in Pydantic, allowing for os.PathLike[str] and os.PathLike[bytes] to be used correctly.
- Why the fix works: Fixes the issue with os.PathLike subtype handling in Pydantic, allowing for os.PathLike[str] and os.PathLike[bytes] to be used correctly. (first fixed release: 2.8.1).
- 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
- Surfaces as: $ python main.py
Proof / Evidence
- GitHub issue: #9706
- Fix PR: https://github.com/pydantic/pydantic/pull/9764
- First fixed release: 2.8.1
- Reproduced locally: No (not executed)
- Last verified: 2026-02-09
- Confidence: 0.75
- Did this fix it?: Yes (upstream fix exists)
- Own content ratio: 0.30
Discussion
High-signal excerpts from the issue thread (symptoms, repros, edge-cases).
“I think os.PathLike[Any] should be supported as well. Omitting the generic notation equals Any, so os.PathLike is the same as os.PathLike[Any].”
“@nix010 Yes, it should raise an error. os.PathLike (even [Any]) must have an __fspath__ method (docs).”
“Indeed, looks like a bug! Help welcome here - should be fix in the _std_types_schema.py file.”
“@sydney-runkle so do we expect any certain behaviors that different from os.PathLike for the os.PathLike[str], os.PathLike[bytes] type ? And also what are the limit for…”
Failure Signature (Search String)
- $ python main.py
Error Message
Stack trace
Error Message
-------------
$ python main.py
Traceback (most recent call last):
File "main.py", line 5, in <module>
class Model(pydantic.BaseModel):
File "pydantic/_internal/_model_construction.py", line 202, in __new__
complete_model_class(
File "pydantic/_internal/_model_construction.py", line 539, in complete_model_class
schema = cls.__get_pydantic_core_schema__(cls, handler)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pydantic/main.py", line 626, in __get_pydantic_core_schema__
return handler(source)
^^^^^^^^^^^^^^^
File "pydantic/_internal/_schema_generation_shared.py", line 82, in __call__
schema = self._handler(source_type)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pydantic/_internal/_generate_schema.py", line 502, in generate_schema
schema = self._generate_schema_inner(obj)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pydantic/_internal/_generate_schema.py", line 753, in _generate_schema_inner
return self._model_schema(obj)
^^^^^^^^^^^^^^^^^^^^^^^
File "pydantic/_internal/_generate_schema.py", line 580, in _model_schema
{k: self._generate_md_field_schema(k, v, decorators) for k, v in fields.items()},
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pydantic/_internal/_generate_schema.py", line 580, in <dictcomp>
{k: self._generate_md_field_schema(k
... (truncated) ...
Minimal Reproduction
# main.py
import os
import pydantic
class Model(pydantic.BaseModel):
field: os.PathLike[str]
Environment
- Pydantic: 2
Fix Options (Details)
Option A — Upgrade to fixed release Safe default (recommended)
pip install pydantic==2.8.1
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/9764
First fixed release: 2.8.1
Last verified: 2026-02-09. Validate in your environment.
When NOT to Use This Fix
- Do not use if it changes public behavior or if the failure cannot be reproduced.
Verify Fix
Re-run: python main.py
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 |
|---|---|
| 2.8.1 | Fixed |
Related Issues
No related fixes found.
Sources
We don’t republish the full GitHub discussion text. Use the links above for context.