Vector stores

Update a vector store

POST /openai/v1/vector_stores/{vector_store_id}

Updates a vector store with the supplied changes.

Parâmetros de caminho

vector_store_id string exigido

The ID of the vector store to modify.

Corpo da solicitação

The request body.

Content-Type: application/json

name string | null

The name of the vector store.

expires_after OpenAI.VectorStoreExpirationAfter

The expiration policy for a vector store.

anchor enum exigido

Anchor timestamp after which the expiration policy applies. Supported anchors: last_active_at.

last_active_at

days integer exigido

metadata OpenAI.Metadata | 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.

[key: string] string

Respostas

The request has succeeded.

Corpo

Content-Type: application/json

id string exigido

The identifier, which can be referenced in API endpoints.

object enum exigido

The object type, which is always vector_store.

vector_store

created_at integer exigido

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

name string exigido

The name of the vector store.

usage_bytes integer exigido

file_counts OpenAI.VectorStoreObjectFileCounts exigido

in_progress integer exigido

completed integer exigido

failed integer exigido

cancelled integer exigido

total integer exigido

status enum exigido

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

expiredin_progresscompleted

expires_after OpenAI.VectorStoreExpirationAfter

The expiration policy for a vector store.

anchor enum exigido

Anchor timestamp after which the expiration policy applies. Supported anchors: last_active_at.

last_active_at

days integer exigido

expires_at integer | null

last_active_at integer | null exigido

metadata OpenAI.Metadata | null exigido

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.

[key: string] string

Solicitar

curl https://api.openai.com/v1/vector_stores/vs_abc123 \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "Content-Type: application/json" \
  -H "OpenAI-Beta: assistants=v2"
  -d '{
    "name": "Support FAQ"
  }'

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ.get("OPENAI_API_KEY"),  # This is the default and can be omitted
)
vector_store = client.vector_stores.update(
    vector_store_id="vector_store_id",
)
print(vector_store.id)

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

async function main() {
  const vectorStore = await openai.vectorStores.update(
    "vs_abc123",
    {
      name: "Support FAQ"
    }
  );
  console.log(vectorStore);
}

main();

import OpenAI from 'openai';

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

const vectorStore = await client.vectorStores.update('vector_store_id');

console.log(vectorStore.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"),
    )
    vectorStore, err := client.VectorStores.Update(
        context.TODO(),
        "vector_store_id",
        openai.VectorStoreUpdateParams{},
    )
    if err != nil {
        panic(err.Error())
    }
    fmt.Printf("%+v
", vectorStore.ID)
}

package com.openai.example;

import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.vectorstores.VectorStore;
import com.openai.models.vectorstores.VectorStoreUpdateParams;

public final class Main {
    private Main() {}

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

        VectorStore vectorStore = client.vectorStores().update("vector_store_id");
    }
}

require "openai"

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

vector_store = openai.vector_stores.update("vector_store_id")

puts(vector_store)

Resposta

{
  "id": "vs_abc123",
  "object": "vector_store",
  "created_at": 1699061776,
  "name": "Support FAQ",
  "description": "Contains commonly asked questions and answers, organized by topic.",
  "bytes": 139920,
  "file_counts": {
    "in_progress": 0,
    "completed": 3,
    "failed": 0,
    "cancelled": 0,
    "total": 3
  }
}