Base64 JSON file inputs

Use the x-speakeasy-base64-input-mode extension to let a JSON string field accept binary IO streams or filesystem paths in addition to a pre-encoded base64 string. The generated SDK base64-encodes non-string inputs at request construction time and the wire payload is always a JSON string.

Configuring the extension

Add x-speakeasy-base64-input-mode: file to a JSON string property marked as base64 — either format: byte (OpenAPI 3.0+) or contentEncoding: base64 (OpenAPI 3.1+). Without the extension, the field remains a plain str.

properties:
  dataByte:
    type: string
    format: byte
    x-speakeasy-base64-input-mode: file
  dataContentEncoding:
    type: string
    contentEncoding: base64
    x-speakeasy-base64-input-mode: file

Generated Python

Opted-in fields are typed as Base64EncodedString, a pydantic alias that runs a BeforeValidator to convert non-string inputs to a base64 string before storage.

from os import PathLike
from typing import IO, Union
 
Base64FileInput = Union[IO[bytes], PathLike[str]]
 
Base64EncodedString = Annotated[str, BeforeValidator(encode_base64_file_input)]

The encode_base64_file_input validator accepts:

• A PathLike value — the file at that path is read in binary mode and base64-encoded.
• A binary IO object (any io.IOBase returning bytes) — the stream is read and base64-encoded.
• A str — passed through unchanged (treated as already encoded).

Any other value raises a TypeError.

The generated request model exposes the field as a plain str after validation, so downstream attribute reads remain statically typed as str even when the same component is reused on the response side.

class Base64InputFileModeRequest(BaseModel):
    data_byte: Annotated[Base64EncodedString, pydantic.Field(alias="dataByte")]
    data_content_encoding: Annotated[
        Base64EncodedString, pydantic.Field(alias="dataContentEncoding")
    ]

SDK methods accept the wider input union at the call site:

def post_base64_input_mode(
    self,
    *,
    data_byte: Union[Base64EncodedString, Union[str, Base64FileInput]],
    data_content_encoding: Union[Base64EncodedString, Union[str, Base64FileInput]],
) -> models.operations.PostBase64InputModeResponse:
    ...

Usage

# filesystem path
sdk.post_base64_input_mode(
    data_byte=Path("./payload.bin"),
    data_content_encoding="dGVzdA==",
)
 
# open binary stream
with open("./payload.bin", "rb") as fh:
    sdk.post_base64_input_mode(data_byte=fh, data_content_encoding=fh)
 
# pre-encoded base64 string
sdk.post_base64_input_mode(data_byte="dGVzdA==", data_content_encoding="dGVzdA==")

Limitations

• Python (pythonv2) only.
• Accepted non-string inputs are restricted to Union[IO[bytes], os.PathLike]. bytes and bytearray literals are not auto-encoded; encode them with base64.b64encode(...).decode("ascii") before passing them in.
• Generated SDK methods emit # type: ignore[arg-type] at the request construction site to bridge the wider method-argument union (Union[str, Base64FileInput]) and the declared field type (str). At runtime the BeforeValidator converts the value before the str validator runs, so the suppression is aligned with sound runtime behavior.
• Schema components reused across request and response leak the wider input union into the response-side TypedDict. A hand-built response literal will type-check with BytesIO/PathLike even though the wire only ever carries a str. Prefer BaseModel attribute access on responses, which stays typed as str.