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API Reference
Vector Stores
File Batches

Create vector store file batch

POST/vector_stores/{vector_store_id}/file_batches

Create a vector store file batch.

Path ParametersExpand Collapse
vector_store_id: string
Body ParametersJSONExpand Collapse
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.

Accepts one of the following:
UnionMember0 = string
UnionMember1 = number
UnionMember2 = boolean
chunking_strategy: optional FileChunkingStrategyParam

The chunking strategy used to chunk the file(s). If not set, will use the auto strategy.

Accepts one of the following:
AutoFileChunkingStrategyParam = object { type }

The default strategy. This strategy currently uses a max_chunk_size_tokens of 800 and chunk_overlap_tokens of 400.

type: "auto"

Always auto.

StaticFileChunkingStrategyObjectParam = object { static, type }

Customize your own chunking strategy by setting chunk size and chunk overlap.

static: StaticFileChunkingStrategy { chunk_overlap_tokens, max_chunk_size_tokens }
chunk_overlap_tokens: number

The number of tokens that overlap between chunks. The default value is 400.

Note that the overlap must not exceed half of max_chunk_size_tokens.

max_chunk_size_tokens: number

The maximum number of tokens in each chunk. The default value is 800. The minimum value is 100 and the maximum value is 4096.

minimum100
maximum4096
type: "static"

Always static.

file_ids: 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. Mutually exclusive with files.

files: 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. Mutually exclusive with file_ids.

file_id: string

A File ID that the vector store should use. Useful for tools like file_search that can access files.

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.

Accepts one of the following:
UnionMember0 = string
UnionMember1 = number
UnionMember2 = boolean
chunking_strategy: optional FileChunkingStrategyParam

The chunking strategy used to chunk the file(s). If not set, will use the auto strategy.

Accepts one of the following:
AutoFileChunkingStrategyParam = object { type }

The default strategy. This strategy currently uses a max_chunk_size_tokens of 800 and chunk_overlap_tokens of 400.

type: "auto"

Always auto.

StaticFileChunkingStrategyObjectParam = object { static, type }

Customize your own chunking strategy by setting chunk size and chunk overlap.

static: StaticFileChunkingStrategy { chunk_overlap_tokens, max_chunk_size_tokens }
chunk_overlap_tokens: number

The number of tokens that overlap between chunks. The default value is 400.

Note that the overlap must not exceed half of max_chunk_size_tokens.

max_chunk_size_tokens: number

The maximum number of tokens in each chunk. The default value is 800. The minimum value is 100 and the maximum value is 4096.

minimum100
maximum4096
type: "static"

Always static.

ReturnsExpand Collapse
VectorStoreFileBatch = 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.

Accepts one of the following:
"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

curl https://api.openai.com/v1/vector_stores/$VECTOR_STORE_ID/file_batches \
    -H 'Content-Type: application/json' \
    -H 'OpenAI-Beta: assistants=v2' \
    -H "Authorization: Bearer $OPENAI_API_KEY" \
    -d '{}'
{
  "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"
}
Returns Examples
{
  "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"
}