OpenAI API 参考（字段级）

For the complete documentation index, see llms.txt. Markdown versions of documentation pages are available by appending .md to the page URL.

Create vector store file batch

post /vector_stores/\{vector_store_id\}/file_batches

Create a vector store file batch.

Path Parameters

• vector_store_id: string

Body Parameters

• attributes: optional map[string or number or boolean] or null

  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.

  • string

  • number

  • boolean

• chunking_strategy: optional FileChunkingStrategyParam

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

  • 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.

      • "auto"

  • StaticFileChunkingStrategyObjectParam object \{ static, type \}

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

    • static: StaticFileChunkingStrategy

      • 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.

    • type: "static"

      Always static.

      • "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. 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.

• 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. 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.

  • file_id: string

    A File ID that the vector store should use. Useful for tools like file_search that can access files. For multi-file ingestion, we recommend file_batches to minimize per-vector-store write requests.

  • attributes: optional map[string or number or boolean] or null

    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.

    • string

    • number

    • boolean

  • chunking_strategy: optional FileChunkingStrategyParam

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

Returns

• 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.

    • "vector_store.files_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.

Example

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 '{}'

Response

{
  "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"
}

Example

curl https://api.openai.com/v1/vector_stores/vs_abc123/file_batches \
    -H "Authorization: Bearer $OPENAI_API_KEY" \
    -H "Content-Type: application/json \
    -H "OpenAI-Beta: assistants=v2" \
    -d '{
      "files": [
        {
          "file_id": "file-abc123",
          "attributes": {"category": "finance"}
        },
        {
          "file_id": "file-abc456",
          "chunking_strategy": {
            "type": "static",
            "max_chunk_size_tokens": 1200,
            "chunk_overlap_tokens": 200
          }
        }
      ]
    }'

Response

{
  "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,
  }
}