Vector stores

Get a vector store file content

GET /openai/v1/vector_stores/{vector_store_id}/files/{file_id}/content

Retrieves a vector store file content by its identifier.

Parametri del percorso

vector_store_id string necessario

The ID of the vector store.

file_id string necessario

The ID of the file within the vector store.

Risposte

The request has succeeded.

Corpo

Content-Type: application/json

object enum necessario

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

vector_store.file_content.page

data OpenAI.VectorStoreFileContentResponseData[] necessario

Parsed content of the file.

has_more boolean necessario

Indicates if there are more content pages to fetch.

next_page string | null necessario

Richiedi

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

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: process.env['OPENAI_API_KEY'], // This is the default and can be omitted
});

// Automatically fetches more pages as needed.
for await (const fileContentResponse of client.vectorStores.files.content('file-abc123', {
  vector_store_id: 'vs_abc123',
})) {
  console.log(fileContentResponse.text);
}

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.content(
    file_id="file-abc123",
    vector_store_id="vs_abc123",
)
page = page.data[0]
print(page.text)

package main

import (
    "context"
    "fmt"

    "github.com/openai/openai-go"
    "github.com/openai/openai-go/option"
)

func main() {
    client := openai.NewClient(
        option.WithAPIKey("My API Key"),
    )
    page, err := client.VectorStores.Files.Content(
        context.TODO(),
        "vs_abc123",
        "file-abc123",
    )
    if err != nil {
        panic(err.Error())
    }
    fmt.Printf("%+v
", page)
}

package com.openai.example;

import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.vectorstores.files.FileContentPage;
import com.openai.models.vectorstores.files.FileContentParams;

public final class Main {
    private Main() {}

    public static void main(String[] args) {
        OpenAIClient client = OpenAIOkHttpClient.fromEnv();

        FileContentParams params = FileContentParams.builder()
            .vectorStoreId("vs_abc123")
            .fileId("file-abc123")
            .build();
        FileContentPage page = client.vectorStores().files().content(params);
    }
}

require "openai"

openai = OpenAI::Client.new(api_key: "My API Key")

page = openai.vector_stores.files.content("file-abc123", vector_store_id: "vs_abc123")

puts(page)

Response

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