Skip to content
Primary navigation

Suggested
API Dashboard
API Reference
Vector Stores
File Batches

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.

ParametersExpand Collapse
--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 { type } or StaticFileChunkingStrategyObjectParam { static, type }

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 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.

ReturnsExpand Collapse
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 that the File is attached to.

Create vector store file batch

openai vector-stores:file-batches create \
  --api-key 'My API Key' \
  --vector-store-id vs_abc123
{
  "id": "vsfb_abc123",
  "object": "vector_store.file_batch",
  "created_at": 1699061776,
  "vector_store_id": "vs_abc123",
  "status": "in_progress",
  "file_counts": {
    "in_progress": 1,
    "completed": 1,
    "failed": 0,
    "cancelled": 0,
    "total": 0,
  }
}
Returns Examples
{
  "id": "vsfb_abc123",
  "object": "vector_store.file_batch",
  "created_at": 1699061776,
  "vector_store_id": "vs_abc123",
  "status": "in_progress",
  "file_counts": {
    "in_progress": 1,
    "completed": 1,
    "failed": 0,
    "cancelled": 0,
    "total": 0,
  }
}