The Fix
pip install pydantic==2.7.1
Based on closed pydantic/pydantic issue #9231 · 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%.
@@ -1561,14 +1561,22 @@ def validate_secret_value(value, handler) -> Secret[SecretType]:
return cls(validated_inner)
+ def serialize(value: Secret[SecretType], info: core_schema.SerializationInfo) -> str | Secret[SecretType]:
+ if info.mode == 'json':
+ return str(value)
from pydantic import BaseModel, Secret
class Base(BaseModel):
x: Secret[int] | Secret[str]
model = Base(x=1)
print(model.model_dump()) # No error
print(model.model_dump_json()) # pydantic_core._pydantic_core.PydanticSerializationError: Error serializing to JSON: PydanticSerializationError: Unable to serialize unknown type: <class 'pydantic.types.Secret'>
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==2.7.1\nWhen NOT to use: Do not use this fix if your model does not contain Secret types in unions.\n\n
Why This Fix Works in Production
- Trigger: Error: `pydantic_core._pydantic_core.PydanticSerializationError: Error serializing to JSON: PydanticSerializationError: Unable to serialize unknown type: <class
- Mechanism: PydanticSerializationError occurs due to improper serialization handling of Secret types in unions
- Why the fix works: Fixes the serialization schema for Secret types in unions, addressing a PydanticSerializationError when using model_dump_json(). (first fixed release: 2.7.1).
- 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
- Shows up under Python 3.12 in real deployments (not just unit tests).
- PydanticSerializationError occurs due to improper serialization handling of Secret types in unions
- Surfaces as: Error: `pydantic_core._pydantic_core.PydanticSerializationError: Error serializing to JSON: PydanticSerializationError: Unable to serialize unknown type: <class…
Proof / Evidence
- GitHub issue: #9231
- Fix PR: https://github.com/pydantic/pydantic/pull/9240
- First fixed release: 2.7.1
- Reproduced locally: No (not executed)
- Last verified: 2026-02-09
- Confidence: 0.85
- Did this fix it?: Yes (upstream fix exists)
- Own content ratio: 0.59
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: 2.7.1
- Mode: fixed_only
- Outcome: ok
Logs
{'x': Secret('**********')}
{"x":"**********"}
Discussion
High-signal excerpts from the issue thread (symptoms, repros, edge-cases).
“@KasperZutterman, Thanks for reporting this! Definitely something that we want to fix. Will release a fix for this early next week with 2.7.1!”
“^^ I've opened https://github.com/pydantic/pydantic/pull/9240 to address this issue :).”
Failure Signature (Search String)
- Error: `pydantic_core._pydantic_core.PydanticSerializationError: Error serializing to JSON: PydanticSerializationError: Unable to serialize unknown type: <class
Error Message
Stack trace
Error Message
-------------
Error: `pydantic_core._pydantic_core.PydanticSerializationError: Error serializing to JSON: PydanticSerializationError: Unable to serialize unknown type: <class 'pydantic.types.Secret'>`
Minimal Reproduction
from pydantic import BaseModel, Secret
class Base(BaseModel):
x: Secret[int] | Secret[str]
model = Base(x=1)
print(model.model_dump()) # No error
print(model.model_dump_json()) # pydantic_core._pydantic_core.PydanticSerializationError: Error serializing to JSON: PydanticSerializationError: Unable to serialize unknown type: <class 'pydantic.types.Secret'>
Environment
- Python: 3.12
- Pydantic: 2
What Broke
Models containing Secret types fail to serialize to JSON, causing application errors.
Why It Broke
PydanticSerializationError occurs due to improper serialization handling of Secret types in unions
Fix Options (Details)
Option A — Upgrade to fixed release Safe default (recommended)
pip install pydantic==2.7.1
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/9240
First fixed release: 2.7.1
Last verified: 2026-02-09. Validate in your environment.
When NOT to Use This Fix
- Do not use this fix if your model does not contain Secret types in unions.
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 |
|---|---|
| 2.7.1 | Fixed |
Related Issues
No related fixes found.
Sources
We don’t republish the full GitHub discussion text. Use the links above for context.