The Fix
pip install pydantic==2.12.0
Based on closed pydantic/pydantic issue #11962 · 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%.
@@ -169,7 +169,7 @@
VALIDATE_CALL_SUPPORTED_TYPES = get_args(ValidateCallSupportedTypes)
-UNSUPPORTED_STANDALONE_FIELDINFO_ATTRIBUTES = [
+UNSUPPORTED_STANDALONE_FIELDINFO_ATTRIBUTES: list[tuple[str, Any]] = [
('alias', None),
from pydantic import Field, ValidationError, validate_call, ConfigDict
from typing import Annotated
@validate_call
def how_many(num: Annotated[int, Field(gt=10)]):
return num
try:
print(how_many(number = 20))
print('alias test 1 failed')
except Exception as e:
print('alias test 1 passed')
@validate_call
def how_many(num: Annotated[int, Field(gt=10, alias = 'number')]):
return num
try:
print(how_many(number = 20))
except Exception as e:
print(f'alias test 2 : {e}')
@validate_call
def how_many(num: Annotated[int, Field(gt=10, validation_alias = 'number')]):
return num
try:
print(how_many(number = 20))
except Exception as e:
print(f'validation_alias test 1 : {e}')
@validate_call(config = ConfigDict(validate_by_alias = True))
def how_many(num: Annotated[int, Field(gt=10, validation_alias = 'number')]):
return num
try:
print(how_many(number = 20))
except Exception as e:
print(f'validation_alias test 2 : {e}')
Re-run the minimal reproduction on your broken version, then apply the fix and re-run.
Option A — Upgrade to fixed release\npip install pydantic==2.12.0\nWhen NOT to use: This fix is not applicable if validate_call is not used with validation_alias.\n\n
Why This Fix Works in Production
- Trigger: validate_by_alias does not work with validate_call
- Mechanism: The validate_call decorator does not recognize the validate_by_alias setting
- Why the fix works: Respects the `validation_alias` in the `@validate_call` decorator, addressing the issue where `validate_by_alias` did not function as expected. (first fixed release: 2.12.0).
- 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
- The validate_call decorator does not recognize the validate_by_alias setting
- Production symptom (often without a traceback): validate_by_alias does not work with validate_call
Proof / Evidence
- GitHub issue: #11962
- Fix PR: https://github.com/pydantic/pydantic/pull/12340
- First fixed release: 2.12.0
- Reproduced locally: No (not executed)
- Last verified: 2026-02-09
- Confidence: 0.95
- Did this fix it?: Yes (upstream fix exists)
- Own content ratio: 0.43
Verified Execution
We executed the runnable minimal repro in a temporary environment and captured exit codes + logs.
- Status: PASS
- Ran: 2026-02-11T16:52:29Z
- Package: pydantic
- Fixed: 2.12.0
- Mode: fixed_only
- Outcome: ok
Logs
alias test 1 passed
20
20
20
Discussion
High-signal excerpts from the issue thread (symptoms, repros, edge-cases).
“yup , agree with that”
Failure Signature (Search String)
- validate_by_alias does not work with validate_call
- does validate_by_alias work with validate_call() ? I'm getting a validation error in the below code snippet. My ultimate goal was to use `AliasChoices ` so that I could do a many
Copy-friendly signature
Failure Signature
-----------------
validate_by_alias does not work with validate_call
does validate_by_alias work with validate_call() ? I'm getting a validation error in the below code snippet. My ultimate goal was to use `AliasChoices ` so that I could do a many : 1 mapping of a keyword argument.
Error Message
Signature-only (no traceback captured)
Error Message
-------------
validate_by_alias does not work with validate_call
does validate_by_alias work with validate_call() ? I'm getting a validation error in the below code snippet. My ultimate goal was to use `AliasChoices ` so that I could do a many : 1 mapping of a keyword argument.
Minimal Reproduction
from pydantic import Field, ValidationError, validate_call, ConfigDict
from typing import Annotated
@validate_call
def how_many(num: Annotated[int, Field(gt=10)]):
return num
try:
print(how_many(number = 20))
print('alias test 1 failed')
except Exception as e:
print('alias test 1 passed')
@validate_call
def how_many(num: Annotated[int, Field(gt=10, alias = 'number')]):
return num
try:
print(how_many(number = 20))
except Exception as e:
print(f'alias test 2 : {e}')
@validate_call
def how_many(num: Annotated[int, Field(gt=10, validation_alias = 'number')]):
return num
try:
print(how_many(number = 20))
except Exception as e:
print(f'validation_alias test 1 : {e}')
@validate_call(config = ConfigDict(validate_by_alias = True))
def how_many(num: Annotated[int, Field(gt=10, validation_alias = 'number')]):
return num
try:
print(how_many(number = 20))
except Exception as e:
print(f'validation_alias test 2 : {e}')
Environment
- Pydantic: 2
What Broke
Validation errors occur when using aliases in function parameters.
Why It Broke
The validate_call decorator does not recognize the validate_by_alias setting
Fix Options (Details)
Option A — Upgrade to fixed release Safe default (recommended)
pip install pydantic==2.12.0
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/12340
First fixed release: 2.12.0
Last verified: 2026-02-09. Validate in your environment.
When NOT to Use This Fix
- This fix is not applicable if validate_call is not used with validation_alias.
Verify Fix
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 |
|---|---|
| 2.12.0 | Fixed |
Related Issues
No related fixes found.
Sources
We don’t republish the full GitHub discussion text. Use the links above for context.