Skip to content
API Reference
Vector Stores
Files

List vector store files

vector_stores.files.list(strvector_store_id, FileListParams**kwargs) -> SyncCursorPage[VectorStoreFile]
GET/vector_stores/{vector_store_id}/files

Returns a list of vector store files.

ParametersExpand Collapse
vector_store_id: str
after: Optional[str]

A cursor for use in pagination. after is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, ending with obj_foo, your subsequent call can include after=obj_foo in order to fetch the next page of the list.

before: Optional[str]

A cursor for use in pagination. before is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, starting with obj_foo, your subsequent call can include before=obj_foo in order to fetch the previous page of the list.

filter: Optional[Literal["in_progress", "completed", "failed", "cancelled"]]

Filter by file status. One of in_progress, completed, failed, cancelled.

Accepts one of the following:
"in_progress"
"completed"
"failed"
"cancelled"
limit: Optional[int]

A limit on the number of objects to be returned. Limit can range between 1 and 100, and the default is 20.

order: Optional[Literal["asc", "desc"]]

Sort order by the created_at timestamp of the objects. asc for ascending order and desc for descending order.

Accepts one of the following:
"asc"
"desc"
ReturnsExpand Collapse
class VectorStoreFile: …

A list of files attached to a vector store.

id: str

The identifier, which can be referenced in API endpoints.

created_at: int

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

last_error: Optional[LastError]

The last error associated with this vector store file. Will be null if there are no errors.

code: Literal["server_error", "unsupported_file", "invalid_file"]

One of server_error, unsupported_file, or invalid_file.

Accepts one of the following:
"server_error"
"unsupported_file"
"invalid_file"
message: str

A human-readable description of the error.

object: Literal["vector_store.file"]

The object type, which is always vector_store.file.

status: Literal["in_progress", "completed", "cancelled", "failed"]

The status of the vector store file, which can be either in_progress, completed, cancelled, or failed. The status completed indicates that the vector store file is ready for use.

Accepts one of the following:
"in_progress"
"completed"
"cancelled"
"failed"
usage_bytes: int

The total vector store usage in bytes. Note that this may be different from the original file size.

vector_store_id: str

The ID of the vector store that the File is attached to.

attributes: Optional[Dict[str, Union[str, float, bool]]]

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:
str
float
bool
chunking_strategy: Optional[FileChunkingStrategy]

The strategy used to chunk the file.

Accepts one of the following:
class StaticFileChunkingStrategyObject: …
chunk_overlap_tokens: int

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: int

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: Literal["static"]

Always static.

class OtherFileChunkingStrategyObject: …

This is returned when the chunking strategy is unknown. Typically, this is because the file was indexed before the chunking_strategy concept was introduced in the API.

type: Literal["other"]

Always other.

List vector store files

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ.get("OPENAI_API_KEY"),  # This is the default and can be omitted
)
page = client.vector_stores.files.list(
    vector_store_id="vector_store_id",
)
page = page.data[0]
print(page.id)
{
  "data": [
    {
      "id": "id",
      "created_at": 0,
      "last_error": {
        "code": "server_error",
        "message": "message"
      },
      "object": "vector_store.file",
      "status": "in_progress",
      "usage_bytes": 0,
      "vector_store_id": "vector_store_id",
      "attributes": {
        "foo": "string"
      },
      "chunking_strategy": {
        "static": {
          "chunk_overlap_tokens": 0,
          "max_chunk_size_tokens": 100
        },
        "type": "static"
      }
    }
  ],
  "first_id": "file-abc123",
  "has_more": false,
  "last_id": "file-abc456",
  "object": "list"
}
Returns Examples
{
  "data": [
    {
      "id": "id",
      "created_at": 0,
      "last_error": {
        "code": "server_error",
        "message": "message"
      },
      "object": "vector_store.file",
      "status": "in_progress",
      "usage_bytes": 0,
      "vector_store_id": "vector_store_id",
      "attributes": {
        "foo": "string"
      },
      "chunking_strategy": {
        "static": {
          "chunk_overlap_tokens": 0,
          "max_chunk_size_tokens": 100
        },
        "type": "static"
      }
    }
  ],
  "first_id": "file-abc123",
  "has_more": false,
  "last_id": "file-abc456",
  "object": "list"
}