The simplest way to validate an instance under OAS schema is to use the validate function.
To validate an OpenAPI v3.1 schema:
from openapi_schema_validator import validate
# A sample schema
schema = {
"type": "object",
"required": [
"name"
],
"properties": {
"name": {
"type": "string"
},
"age": {
"type": ["integer", "null"],
"format": "int32",
"minimum": 0,
},
"birth-date": {
"type": "string",
"format": "date",
},
"address": {
"type": 'array',
"prefixItems": [
{ "type": "number" },
{ "type": "string" },
{ "enum": ["Street", "Avenue", "Boulevard"] },
{ "enum": ["NW", "NE", "SW", "SE"] }
],
"items": False,
}
},
"additionalProperties": False,
}
# If no exception is raised by validate(), the instance is valid.
validate({"name": "John", "age": 23, "address": [1600, "Pennsylvania", "Avenue"]}, schema)
validate({"name": "John", "city": "London"}, schema)
Traceback (most recent call last):
...
ValidationError: Additional properties are not allowed ('city' was unexpected)By default, the latest OpenAPI schema syntax is expected.
if you want to disambiguate the expected schema version, import and use OAS31Validator:
from openapi_schema_validator import OAS31Validator
validate({"name": "John", "age": 23}, schema, cls=OAS31Validator)The OpenAPI 3.1 base dialect URI is registered for
jsonschema.validators.validator_for resolution.
If your schema declares
"$schema": "https://spec.openapis.org/oas/3.1/dialect/base",
validator_for resolves directly to OAS31Validator without
unresolved-metaschema fallback warnings.
from jsonschema.validators import validator_for
from openapi_schema_validator import OAS31Validator
schema = {
"$schema": "https://spec.openapis.org/oas/3.1/dialect/base",
"type": "object",
}
assert validator_for(schema) is OAS31ValidatorFor OpenAPI 3.2, use OAS32Validator (behaves identically to OAS31Validator, since 3.2 uses the same JSON Schema dialect).
In order to validate OpenAPI 3.0 schema, import and use OAS30Validator instead of OAS31Validator.
from openapi_schema_validator import OAS30Validator
# A sample schema
schema = {
"type": "object",
"required": [
"name"
],
"properties": {
"name": {
"type": "string"
},
"age": {
"type": "integer",
"format": "int32",
"minimum": 0,
"nullable": True,
},
"birth-date": {
"type": "string",
"format": "date",
}
},
"additionalProperties": False,
}
validate({"name": "John", "age": None}, schema, cls=OAS30Validator)OpenAPI 3.0 schema comes with readOnly and writeOnly keywords. In order to validate read/write context in OpenAPI 3.0 schema, import and use OAS30ReadValidator or OAS30WriteValidator.
from openapi_schema_validator import OAS30WriteValidator
# A sample schema
schema = {
"type": "object",
"required": [
"name"
],
"properties": {
"name": {
"type": "string"
},
"age": {
"type": "integer",
"format": "int32",
"minimum": 0,
"readOnly": True,
},
"birth-date": {
"type": "string",
"format": "date",
}
},
"additionalProperties": False,
}
validate({"name": "John", "age": 23}, schema, cls=OAS30WriteValidator)
Traceback (most recent call last):
...
ValidationError: Tried to write read-only property with 23OpenAPI 3.0 has two validator variants with different behaviors for binary format:
OAS30Validator (default - pragmatic)
- Accepts Python
bytesfortype: stringwithformat: binary - More lenient for Python use cases where binary data is common
- Use when validating Python objects directly
OAS30StrictValidator
- Follows OAS spec strictly: only accepts
strfortype: string - For
format: binary, only accepts base64-encoded strings - Use when strict spec compliance is required
| Schema | Value | OAS30Validator (default) | OAS30StrictValidator |
|---|---|---|---|
type: string |
"test" (str) |
Pass | Pass |
type: string |
b"test" (bytes) |
Fail | Fail |
type: string, format: binary |
b"test" (bytes) |
Pass | Fail |
type: string, format: binary |
"dGVzdA==" (base64) |
Pass | Pass |
type: string, format: binary |
"test" (plain str) |
Pass | Fail |
Example usage:
from openapi_schema_validator import OAS30StrictValidator
from openapi_schema_validator import OAS30Validator
# Pragmatic (default) - accepts bytes for binary format
validator = OAS30Validator({"type": "string", "format": "binary"})
validator.validate(b"binary data") # passes
# Strict - follows spec precisely
validator = OAS30StrictValidator({"type": "string", "format": "binary"})
validator.validate(b"binary data") # raises ValidationError