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@ivfuture/search-saas-server-sdk
Advanced tools
A TypeScript SDK for the Search SaaS Management API. This package provides a clean, type-safe interface for managing search infrastructure, projects, collections, and document indexing operations.
npm install @search-saas/server-sdk
# or
yarn add @search-saas/server-sdk
# or
pnpm add @search-saas/server-sdk
import { SearchEngineSDK } from '@search-saas/server-sdk';
// Initialize the SDK
const sdk = new SearchEngineSDK({
apiBaseUrl: 'https://your-api.example.com/api/v1',
token: 'your-api-token',
logLevel: 'info'
});
// Create a project and get a search token
const { projectId, searchToken } = await sdk.createProject('my-app');
// Create a collection
await sdk.createCollection({
name: 'products',
fields: [
{ name: 'id', type: 'string' },
{ name: 'title', type: 'string' },
{ name: 'price', type: 'float' },
{ name: 'category', type: 'string', facet: true }
],
default_sorting_field: 'title'
});
// Index documents (async operation)
const job = await sdk.emplaceDocuments('products', [
{ id: '1', title: 'iPhone 15', price: 999.99, category: 'Electronics' },
{ id: '2', title: 'MacBook Pro', price: 1999.99, category: 'Electronics' }
]);
console.log(`Documents queued for indexing: ${job.jobId}`);
interface SearchEngineSDKOptions {
/** API base URL for the management API */
apiBaseUrl?: string;
/** API token for authentication */
token: string;
/** Connection timeout in seconds (default: 30) */
connectionTimeoutSeconds?: number;
/** Retry interval in seconds (default: 1) */
retryIntervalSeconds?: number;
/** Number of retries for failed requests (default: 3) */
numRetries?: number;
/** Log level for SDK operations */
logLevel?: 'debug' | 'info' | 'warn' | 'error';
}
# Required
API_SEARCH_ENGINE_TOKEN=your-api-token
# Optional
SEARCH_API_BASE_URL=https://your-api.example.com/api/v1
createProject(name: string): Promise<CreateProjectResponse>
Creates a new search project and returns a search token for client SDK usage.
const result = await sdk.createProject('my-ecommerce-app');
// Returns: { projectId, searchToken, name, createdAt }
listProjects(): Promise<Project[]>
Lists all projects for the current tenant.
getProject(id: string): Promise<Project>
Gets details for a specific project.
deleteProject(id: string): Promise<void>
Deletes a project and all associated data.
createCollection(schema: TypesenseCollectionSchema): Promise<void>
Creates a new collection with the specified schema.
await sdk.createCollection({
name: 'products',
fields: [
{ name: 'id', type: 'string' },
{ name: 'title', type: 'string' },
{ name: 'description', type: 'string' },
{ name: 'price', type: 'float' },
{ name: 'category', type: 'string', facet: true },
{ name: 'in_stock', type: 'bool', facet: true }
],
default_sorting_field: 'title'
});
listCollections(): Promise<CollectionSummary[]>
Lists all collections with metadata.
getCollection(name: string): Promise<CollectionSummary>
Gets details for a specific collection.
updateCollection(name: string, patch: Partial<TypesenseCollectionSchema>): Promise<void>
Updates a collection schema.
deleteCollection(name: string): Promise<void>
Deletes a collection and all its documents.
Note: All document operations are asynchronous and return immediately with a job ID. Documents are processed in the background via a message queue.
emplaceDocuments(collection: string, documents: Record<string, any>[]): Promise<IndexResponse>
Indexes documents into a collection.
const job = await sdk.emplaceDocuments('products', [
{
id: 'prod-001',
title: 'Wireless Headphones',
description: 'High-quality wireless headphones with noise cancellation',
price: 199.99,
category: 'Electronics',
in_stock: true
}
]);
console.log(`Job ID: ${job.jobId}, Status: ${job.status}`);
deleteDocuments(collection: string, ids: string[]): Promise<IndexResponse>
Deletes documents from a collection.
const job = await sdk.deleteDocuments('products', ['prod-001', 'prod-002']);
getIndexingJobStatus(jobId: string): Promise<IndexResponse>
Gets the status of an indexing job.
getStats(): Promise<TenantStats>
Gets overall tenant statistics.
const stats = await sdk.getStats();
console.log(`Collections: ${stats.totalCollections}, Documents: ${stats.totalDocuments}`);
getCollectionStats(collection: string): Promise<CollectionSummary>
Gets statistics for a specific collection.
healthCheck(): Promise<{ status: string; timestamp: string }>
Checks if the management API is healthy.
The search token returned by createProject()
is used with the client SDK for search operations:
// Server-side: Create project and get token
const { searchToken } = await sdk.createProject('my-app');
// Client-side: Use token for searches
import { TypeSenseProvider } from '@search-saas/client-sdk';
<TypeSenseProvider config={{
nodes: [{ host: 'localhost', port: 8108, protocol: 'http' }],
apiKey: searchToken // Use the token from createProject
}}>
<App />
</TypeSenseProvider>
The SDK includes comprehensive error handling with automatic retries:
try {
await sdk.createCollection(schema);
} catch (error) {
if (error.message.includes('401')) {
console.error('Invalid API token');
} else if (error.message.includes('429')) {
console.error('Rate limit exceeded');
} else {
console.error('API Error:', error.message);
}
}
Enable debug logging to see detailed HTTP requests:
const sdk = new SearchEngineSDK({
token: 'your-token',
logLevel: 'debug' // Shows all HTTP requests and responses
});
This SDK is a pure HTTP client that communicates with the Search SaaS Management API. It handles:
MIT
See the main repository README for contribution guidelines.
@search-saas/client-sdk
- React hooks for search functionality@search-saas/shared
- Shared types and interfacesFAQs
TypeScript SDK for Search SaaS Management API
The npm package @ivfuture/search-saas-server-sdk receives a total of 0 weekly downloads. As such, @ivfuture/search-saas-server-sdk popularity was classified as not popular.
We found that @ivfuture/search-saas-server-sdk demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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