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The Fix

pip install fastapi==0.128.4

Based on closed fastapi/fastapi issue #14483 · 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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@@ -1,7 +1,7 @@ import warnings from copy import copy, deepcopy -from dataclasses import dataclass +from dataclasses import dataclass, is_dataclass from enum import Enum
repro.py
from typing import Annotated import numpy as np from fastapi import FastAPI from pydantic import BaseModel, ConfigDict, WithJsonSchema, TypeAdapter type MyNumpyArray = Annotated[ np.ndarray, WithJsonSchema(TypeAdapter(list[float]).json_schema(), mode="serialization"), ] class MyModel(BaseModel): model_config = ConfigDict(arbitrary_types_allowed=True) custom_field: MyNumpyArray app = FastAPI() @app.get("/") def test() -> MyModel: raise NotImplementedError() print(app.openapi()) # {'openapi': '3.1.0', 'info': {'title': 'FastAPI', 'version': '0.1.0'}, 'paths': {'/': {'get': {'summary': 'Test', 'operationId': 'test__get', 'responses': {'200': {'description': 'Successful Response', 'content': {'application/json': {'schema': {'$ref': '#/components/schemas/MyModel'}}}}}}}}, 'components': {'schemas': {'MyModel': {'properties': {'custom_field': {'$ref': '#/components/schemas/MyNumpyArray'}}, 'type': 'object', 'required': ['custom_field'], 'title': 'MyModel'}, 'MyNumpyArray': {'items': {'type': 'number'}, 'type': 'array'}}}}
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 fastapi==0.128.4\nWhen NOT to use: Do not use this fix if arbitrary_types_allowed is not required.\n\n

Why This Fix Works in Production

  • Trigger: Since FastAPI 0.119.0, using `arbitrary_types_allowed=True` with custom types that define their serialization and JSON Schema breaks when generating OpenAPI
  • Mechanism: Using arbitrary_types_allowed=True with custom types breaks OpenAPI generation
  • Why the fix works: Fix handling arbitrary types when using `arbitrary_types_allowed=True` to prevent issues with OpenAPI generation. (first fixed release: 0.128.4).
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

  • Using arbitrary_types_allowed=True with custom types breaks OpenAPI generation
  • Production symptom (often without a traceback): Since FastAPI 0.119.0, using `arbitrary_types_allowed=True` with custom types that define their serialization and JSON Schema breaks when generating OpenAPI

Proof / Evidence

Discussion

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

“It should be fixed in https://github.com/fastapi/fastapi/pull/14482, available in FastAPI 0.124.1, just released. :tada:”
@tiangolo · 2025-12-10 · confirmation · source

Failure Signature (Search String)

  • Since FastAPI 0.119.0, using `arbitrary_types_allowed=True` with custom types that define their serialization and JSON Schema breaks when generating OpenAPI
  • Using `arbitrary_types_allowed=True` with custom types that define their serialization and JSON Schema breaks when generating OpenAPI.
Copy-friendly signature
signature.txt
Failure Signature ----------------- Since FastAPI 0.119.0, using `arbitrary_types_allowed=True` with custom types that define their serialization and JSON Schema breaks when generating OpenAPI Using `arbitrary_types_allowed=True` with custom types that define their serialization and JSON Schema breaks when generating OpenAPI.

Error Message

Signature-only (no traceback captured)
error.txt
Error Message ------------- Since FastAPI 0.119.0, using `arbitrary_types_allowed=True` with custom types that define their serialization and JSON Schema breaks when generating OpenAPI Using `arbitrary_types_allowed=True` with custom types that define their serialization and JSON Schema breaks when generating OpenAPI.

Minimal Reproduction

repro.py
from typing import Annotated import numpy as np from fastapi import FastAPI from pydantic import BaseModel, ConfigDict, WithJsonSchema, TypeAdapter type MyNumpyArray = Annotated[ np.ndarray, WithJsonSchema(TypeAdapter(list[float]).json_schema(), mode="serialization"), ] class MyModel(BaseModel): model_config = ConfigDict(arbitrary_types_allowed=True) custom_field: MyNumpyArray app = FastAPI() @app.get("/") def test() -> MyModel: raise NotImplementedError() print(app.openapi()) # {'openapi': '3.1.0', 'info': {'title': 'FastAPI', 'version': '0.1.0'}, 'paths': {'/': {'get': {'summary': 'Test', 'operationId': 'test__get', 'responses': {'200': {'description': 'Successful Response', 'content': {'application/json': {'schema': {'$ref': '#/components/schemas/MyModel'}}}}}}}}, 'components': {'schemas': {'MyModel': {'properties': {'custom_field': {'$ref': '#/components/schemas/MyNumpyArray'}}, 'type': 'object', 'required': ['custom_field'], 'title': 'MyModel'}, 'MyNumpyArray': {'items': {'type': 'number'}, 'type': 'array'}}}}

Why It Broke

Using arbitrary_types_allowed=True with custom types breaks OpenAPI generation

Fix Options (Details)

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

pip install fastapi==0.128.4

When NOT to use: Do not use this fix if arbitrary_types_allowed is not required.

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

Fix reference: https://github.com/fastapi/fastapi/pull/14482

First fixed release: 0.128.4

Last verified: 2026-02-08. Validate in your environment.

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When NOT to Use This Fix

  • Do not use this fix if arbitrary_types_allowed is not required.

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Prevention

  • Capture the exact failing error string in logs and tests so you can reproduce via a minimal script.
  • Pin production dependencies and upgrade only with a reproducible test that hits the failing path.

Version Compatibility Table

VersionStatus
0.128.4 Fixed

Related Issues

No related fixes found.

Sources

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