## Create vector store file batch

`$ openai vector-stores:file-batches create`

**post** `/vector_stores/{vector_store_id}/file_batches`

Create a vector store file batch.

### Parameters

- `--vector-store-id: string`

  The ID of the vector store for which to create a File Batch.

- `--attributes: optional map[string or number or boolean]`

  Set of 16 key-value pairs that can be attached to an object. This can be
  useful for storing additional information about the object in a structured
  format, and querying for objects via API or the dashboard. Keys are strings
  with a maximum length of 64 characters. Values are strings with a maximum
  length of 512 characters, booleans, or numbers.

- `--chunking-strategy: optional AutoFileChunkingStrategyParam or StaticFileChunkingStrategyObjectParam`

  The chunking strategy used to chunk the file(s). If not set, will use the `auto` strategy. Only applicable if `file_ids` is non-empty.

- `--file-id: optional array of string`

  A list of [File](https://platform.openai.com/docs/api-reference/files) IDs that the vector store should use. Useful for tools like `file_search` that can access files.  If `attributes` or `chunking_strategy` are provided, they will be  applied to all files in the batch. The maximum batch size is 2000 files. This endpoint is recommended for multi-file ingestion and helps reduce per-vector-store write request pressure. Mutually exclusive with `files`.

- `--file: optional array of object { file_id, attributes, chunking_strategy }`

  A list of objects that each include a `file_id` plus optional `attributes` or `chunking_strategy`. Use this when you need to override metadata for specific files. The global `attributes` or `chunking_strategy` will be ignored and must be specified for each file. The maximum batch size is 2000 files. This endpoint is recommended for multi-file ingestion and helps reduce per-vector-store write request pressure. Mutually exclusive with `file_ids`.

### Returns

- `vector_store_file_batch: object { id, created_at, file_counts, 3 more }`

  A batch of files attached to a vector store.

  - `id: string`

    The identifier, which can be referenced in API endpoints.

  - `created_at: number`

    The Unix timestamp (in seconds) for when the vector store files batch was created.

  - `file_counts: object { cancelled, completed, failed, 2 more }`

    - `cancelled: number`

      The number of files that where cancelled.

    - `completed: number`

      The number of files that have been processed.

    - `failed: number`

      The number of files that have failed to process.

    - `in_progress: number`

      The number of files that are currently being processed.

    - `total: number`

      The total number of files.

  - `object: "vector_store.files_batch"`

    The object type, which is always `vector_store.file_batch`.

  - `status: "in_progress" or "completed" or "cancelled" or "failed"`

    The status of the vector store files batch, which can be either `in_progress`, `completed`, `cancelled` or `failed`.

    - `"in_progress"`

    - `"completed"`

    - `"cancelled"`

    - `"failed"`

  - `vector_store_id: string`

    The ID of the [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) that the [File](https://platform.openai.com/docs/api-reference/files) is attached to.

### Example

```cli
openai vector-stores:file-batches create \
  --api-key 'My API Key' \
  --vector-store-id vs_abc123
```

#### Response

```json
{
  "id": "id",
  "created_at": 0,
  "file_counts": {
    "cancelled": 0,
    "completed": 0,
    "failed": 0,
    "in_progress": 0,
    "total": 0
  },
  "object": "vector_store.files_batch",
  "status": "in_progress",
  "vector_store_id": "vector_store_id"
}
```