Delete a namespace.

DELETE

namespace

{namespaceId}

TypeScript

import { Agentset } from "agentset";

const agentset = new Agentset({ apiKey: 'agentset_xxx' });

await agentset.namespaces.delete("ns_xxx");
console.log("Namespace deleted successfully");

{
  "success": true,
  "data": {
    "id": "<string>",
    "name": "<string>",
    "slug": "<string>",
    "organizationId": "<string>",
    "createdAt": "<string>",
    "embeddingConfig": {
      "provider": "<string>",
      "model": "text-embedding-3-small",
      "apiKey": "<string>"
    },
    "vectorStoreConfig": {
      "provider": "<string>"
    }
  }
}

Authorizations

Authorization

string

header

required

Default authentication mechanism

Path Parameters

namespaceId

string

required

The id of the namespace (prefixed with ns_) The id of the namespace (prefixed with ns_)

Response

The deleted namespace

success

boolean

required

data

Namespace · object

required

Show child attributes

data.id

string

required

The unique ID of the namespace.

data.name

string

required

The name of the namespace.

data.slug

string

required

The slug of the namespace.

data.organizationId

string

required

The ID of the organization that owns the namespace.

data.createdAt

string

required

The date and time the namespace was created.

data.embeddingConfig

OpenAI Embedding Config · object

required

The embedding model config. If not provided, our managed embedding model will be used. Note: You can't change the embedding model config after the namespace is created.

OpenAI Embedding Config
Azure Embedding Config
Voyage Embedding Config
Google Embedding Config
Option 5

Show child attributes

data.embeddingConfig.provider

string

required

Allowed value: "OPENAI"

data.embeddingConfig.model

enum<string>

required

The OpenAI embedding model enum.

Available options:

text-embedding-3-small,

text-embedding-3-large

data.embeddingConfig.apiKey

string

required

data.vectorStoreConfig

object

required

The vector store config.

Option 1
Option 2
Option 3
Pinecone Config
Turbopuffer Config

Show child attributes

data.vectorStoreConfig.provider

string

required

Allowed value: "MANAGED_PINECONE_OLD"

Retrieve a list of ingest jobsRetrieve a paginated list of ingest jobs for the authenticated organization.

⌘I

TypeScript

import { Agentset } from "agentset";

const agentset = new Agentset({ apiKey: 'agentset_xxx' });

await agentset.namespaces.delete("ns_xxx");
console.log("Namespace deleted successfully");

{
  "success": true,
  "data": {
    "id": "<string>",
    "name": "<string>",
    "slug": "<string>",
    "organizationId": "<string>",
    "createdAt": "<string>",
    "embeddingConfig": {
      "provider": "<string>",
      "model": "text-embedding-3-small",
      "apiKey": "<string>"
    },
    "vectorStoreConfig": {
      "provider": "<string>"
    }
  }
}

Overview

Namespaces

Ingest Jobs

Documents

Hosting

Search

Uploads

Delete a namespace.

Authorizations

Path Parameters

Response