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python/resources/uploads/methods/complete/index.md 2026-07-07 08:02 UTC to 2026-07-09 20:58 UTC

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Complete upload

uploads.complete(strupload_id, UploadCompleteParams**kwargs) -> Upload

post /uploads/{upload_id}/complete

Complete upload

Parameters

  • upload_id: str

  • part_ids: Sequence[str]

    The ordered list of Part IDs.

  • md5: Optional[str]

    The optional md5 checksum for the file contents to verify if the bytes uploaded matches what you expect.

Returns

  • class Upload: …

    The Upload object can accept byte chunks in the form of Parts.

    • id: str

      The Upload unique identifier, which can be referenced in API endpoints.

    • bytes: int

      The intended number of bytes to be uploaded.

    • created_at: int

      The Unix timestamp (in seconds) for when the Upload was created.

    • expires_at: int

      The Unix timestamp (in seconds) for when the Upload will expire.

    • filename: str

      The name of the file to be uploaded.

    • object: Literal["upload"]

      The object type, which is always "upload".

      • "upload"
    • purpose: str

      The intended purpose of the file. Please refer here for acceptable values.

    • status: Literal["pending", "completed", "cancelled", "expired"]

      The status of the Upload.

      • "pending"

      • "completed"

      • "cancelled"

      • "expired"

    • file: Optional[FileObject]

      The File object represents a document that has been uploaded to OpenAI.

      • id: str

        The file identifier, which can be referenced in the API endpoints.

      • bytes: int

        The size of the file, in bytes.

      • created_at: int

        The Unix timestamp (in seconds) for when the file was created.

      • filename: str

        The name of the file.

      • object: Literal["file"]

        The object type, which is always file.

        • "file"
      • purpose: Literal["assistants", "assistants_output", "batch", 5 more]

        The intended purpose of the file. Supported values are assistants, assistants_output, batch, batch_output, fine-tune, fine-tune-results, vision, and user_data.

        • "assistants"

        • "assistants_output"

        • "batch"

        • "batch_output"

        • "fine-tune"

        • "fine-tune-results"

        • "vision"

        • "user_data"

      • status: Literal["uploaded", "processed", "error"]

        Deprecated. The current status of the file, which can be either uploaded, processed, or error.

        • "uploaded"

        • "processed"

        • "error"

      • expires_at: Optional[int]

        The Unix timestamp (in seconds) for when the file will expire.

      • status_details: Optional[str]

        Deprecated. For details on why a fine-tuning training file failed validation, see the error field on fine_tuning.job.

Example

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ.get("OPENAI_API_KEY"),  # This is the default and can be omitted
)
upload = client.uploads.complete(
    upload_id="upload_abc123",
    part_ids=["string"],
)
print(upload.id)

Response

{
  "id": "id",
  "bytes": 0,
  "created_at": 0,
  "expires_at": 0,
  "filename": "filename",
  "object": "upload",
  "purpose": "purpose",
  "status": "pending",
  "file": {
    "id": "id",
    "bytes": 0,
    "created_at": 0,
    "filename": "filename",
    "object": "file",
    "purpose": "assistants",
    "status": "uploaded",
    "expires_at": 0,
    "status_details": "status_details"
  }
}