Vector stores

List vector store files

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

Lists vector store files matching the request filters.

Parametry ścieżki

vector_store_id string wymagane

The ID of the vector store that the files belong to.

Parametry zapytań

limit integer

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

order enum

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

ascdesc

after string

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 string

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 enum

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

in_progresscompletedfailedcancelled

Odpowiedzi

The request has succeeded.

Treść

Content-Type: application/json

object string wymagane

data OpenAI.VectorStoreFileObject[] wymagane

first_id string wymagane

last_id string wymagane

has_more boolean wymagane

Żądanie

curl https://api.openai.com/v1/vector_stores/vs_abc123/files \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "Content-Type: application/json" \
  -H "OpenAI-Beta: assistants=v2"

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)

import OpenAI from "openai";
const openai = new OpenAI();

async function main() {
  const vectorStoreFiles = await openai.vectorStores.files.list(
    "vs_abc123"
  );
  console.log(vectorStoreFiles);
}

main();

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 vectorStoreFile of client.vectorStores.files.list('vector_store_id')) {
  console.log(vectorStoreFile.id);
}

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.List(
        context.TODO(),
        "vector_store_id",
        openai.VectorStoreFileListParams{},
    )
    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.FileListPage;
import com.openai.models.vectorstores.files.FileListParams;

public final class Main {
    private Main() {}

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

        FileListPage page = client.vectorStores().files().list("vector_store_id");
    }
}

require "openai"

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

page = openai.vector_stores.files.list("vector_store_id")

puts(page)

Response

{
  "object": "list",
  "data": [
    {
      "id": "file-abc123",
      "object": "vector_store.file",
      "created_at": 1699061776,
      "vector_store_id": "vs_abc123"
    },
    {
      "id": "file-abc456",
      "object": "vector_store.file",
      "created_at": 1699061776,
      "vector_store_id": "vs_abc123"
    }
  ],
  "first_id": "file-abc123",
  "last_id": "file-abc456",
  "has_more": false
}