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.

Retrieve vector store file content

get /vector_stores/\{vector_store_id\}/files/\{file_id\}/content

Retrieve the parsed contents of a vector store file.

Path Parameters

• vector_store_id: string

• file_id: string

Returns

• data: array of object \{ text, type \}

  Parsed content of the file.

  • text: optional string

    The text content

  • type: optional string

    The content type (currently only "text")

• has_more: boolean

  Indicates if there are more content pages to fetch.

• next_page: string or null

  The token for the next page, if any.

• object: "vector_store.file_content.page"

  The object type, which is always vector_store.file_content.page

  • "vector_store.file_content.page"

Example

curl https://api.openai.com/v1/vector_stores/$VECTOR_STORE_ID/files/$FILE_ID/content \
    -H 'OpenAI-Beta: assistants=v2' \
    -H "Authorization: Bearer $OPENAI_API_KEY"

Response

{
  "data": [
    {
      "text": "text",
      "type": "type"
    }
  ],
  "has_more": true,
  "next_page": "next_page",
  "object": "vector_store.file_content.page"
}

Example

curl \
https://api.openai.com/v1/vector_stores/vs_abc123/files/file-abc123/content \
-H "Authorization: Bearer $OPENAI_API_KEY"

Response

{
  "file_id": "file-abc123",
  "filename": "example.txt",
  "attributes": {"key": "value"},
  "content": [
    {"type": "text", "text": "..."},
    ...
  ]
}