Vector stores
Update a vector store
Updates a vector store with the supplied changes.
Paramètres de chemin d’accès
vector_store_id
string
obligatoire
The ID of the vector store to modify.
Corps de la demande
The request body.
name
string | null
The name of the vector store.
expires_after
OpenAI.VectorStoreExpirationAfter
The expiration policy for a vector store.
anchor
enum
obligatoire
Anchor timestamp after which the expiration policy applies. Supported anchors: last_active_at.
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.
Réponses
The request has succeeded.
Corps
id
string
obligatoire
The identifier, which can be referenced in API endpoints.
object
enum
obligatoire
The object type, which is always vector_store.
created_at
integer
obligatoire
The Unix timestamp (in seconds) for when the vector store was created.
name
string
obligatoire
The name of the vector store.
file_counts
OpenAI.VectorStoreObjectFileCounts
obligatoire
status
enum
obligatoire
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.
expires_after
OpenAI.VectorStoreExpirationAfter
The expiration policy for a vector store.
anchor
enum
obligatoire
Anchor timestamp after which the expiration policy applies. Supported anchors: last_active_at.
metadata
OpenAI.Metadata | null
obligatoire
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.
Requête
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)Response
{
"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
}
}