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@flxbl-dev/client

v0.6.0

Published

Lightweight runtime SDK for FLXBL — zero dependencies, uses native fetch

Downloads

768

Readme

@flxbl-dev/client

Lightweight, type-safe runtime SDK for FLXBL. Zero dependencies — uses native fetch.

This package is the production dependency your app ships with. The generated typed client (from @flxbl-dev/cli) extends FlxblClient with schema-specific collections and full autocomplete.

Install

npm install @flxbl-dev/client

Quick Start

Use the generated client from @flxbl-dev/cli for full type safety:

import { createFlxblClient } from './flxbl/_generated';

const db = createFlxblClient({
  instanceUrl: 'https://api.flxbl.dev',
  apiKey: process.env.FLXBL_API_KEY,
});

// Fully typed — autocomplete on fields, type-checked inputs
const users = await db.users.query({ where: { role: 'admin' }, limit: 10 });
const post = await db.posts.create({
  title: 'Hello',
  content: '...',
  published: true,
});
const user = await db.users.findById('abc123');
await db.users.update('abc123', { role: 'user' });
await db.users.delete('abc123');

Or use the base client directly for untyped access:

import { FlxblClient } from '@flxbl-dev/client';

const client = new FlxblClient({
  instanceUrl: 'https://api.flxbl.dev',
  apiKey: process.env.FLXBL_API_KEY,
});

// Typed escape hatch without generated collections
const users = await client.query<User>('User', {
  where: { role: 'admin' },
  limit: 10,
});

Configuration

import { FlxblClient } from '@flxbl-dev/client';

const client = new FlxblClient({
  // Required
  instanceUrl: 'https://api.flxbl.dev',

  // Auth — provide one of:
  apiKey: 'flxbl_abc123...', // API key (recommended for server-side)
  accessToken: 'eyJhbG...', // JWT token (for browser/short-lived)

  // Optional
  fetch: customFetch, // Custom fetch implementation
});

// You can also set the token dynamically
client.setAccessToken('eyJhbG...');

Collection Methods

Each generated collection (e.g., db.users) provides:

| Method | Description | | ----------------------------- | --------------------------------------------------------------- | | query(options?) | Explicit helper for complex filters, search, traversals, paging | | findMany(options?) | Query with filters, sorting, pagination, search, and traversals | | findFirst(options?) | Get the first matching record or null | | count(where?) | Count records matching a where clause | | exists(where?) | Check if any record matches a where clause | | findById(id) | Get a single record by ID | | create(data) | Create a new record | | batchCreate(data[]) | Create multiple records via the Dynamic REST batch endpoint | | update(id, data) | Partial update by ID | | batchUpdate([{ id, data }]) | Update multiple records via the Dynamic REST batch endpoint | | delete(id) | Delete by ID | | batchDelete(ids[]) | Delete multiple records via the Dynamic REST batch endpoint | | vectorSearch(options) | Search VECTOR fields; generated only for entities with vectors |

Query Options

Use `query()` for the explicit Dynamic REST graph query endpoint. `findMany()`
remains available as the CRUD-style alias and accepts the same options.

```typescript
const result = await db.users.query({
  where: { isActive: true, role: { $in: ['admin', 'editor'] } },
  select: ['id', 'email', 'role'],
  orderBy: 'createdAt',
  orderDirection: 'DESC',
  offset: 0,
  limit: 25,
  includeCount: true,
  traverse: [{ relationship: 'AUTHORED', direction: 'out', select: ['title'] }],
});

console.log(result.items); // User[]
console.log(result.count); // total count (if includeCount: true)

const sameResult = await db.users.findMany({ where: { isActive: true } });

const baseResult = await client.query<User>('User', {
  search: 'admin',
  limit: 10,
});

Vector Search

Generated collections expose vectorSearch() only when the entity schema has one or more VECTOR fields.

const matches = await db.documents.vectorSearch({
  field: 'embedding',
  vector: embedding,
  topK: 10,
  where: { status: { $eq: 'published' } },
  select: ['title', 'summary'],
});

const baseMatches = await client.vectorSearch<Document>('Document', {
  field: 'embedding',
  vector: embedding,
  topK: 10,
});

console.log(matches[0].data);
console.log(matches[0].score);

Batch Operations

const created = await db.hours.batchCreate([
  { date: '2026-04-01', hours: 8 },
  { date: '2026-04-02', hours: 7.5 },
]);

await db.hours.batchUpdate([
  { id: 'hour-1', data: { hours: 8.5 } },
  { id: 'hour-2', data: { hours: 6 } },
]);

await db.hours.batchDelete(['hour-1', 'hour-2']);

console.log(created.successCount);

Filter Operators

| Operator | Description | | -------------------------- | ----------------------- | | $eq | Equals | | $neq | Not equals | | $gt, $gte | Greater than (or equal) | | $lt, $lte | Less than (or equal) | | $in, $notIn | Value in / not in array | | $isNull | Is null check | | $contains | String contains | | $startsWith, $endsWith | String prefix/suffix | | $and, $or | Logical operators |

GraphQL

const { data, errors } = await client.graphql(
  'tenant-id',
  `query { users { id email } }`,
  {
    /* variables */
  },
);

Relationships

const rels = client.relationships('User', 'user-123');

// Create a relationship
await rels.create('AUTHORED', 'post-456', { role: 'primary' });

// List related entities
const { items, count } = await rels.list('AUTHORED', {
  direction: 'out',
  limit: 10,
  offset: 0,
});
console.log(items[0]._relationship.properties);
console.log(items[0]._relationship.id);

// Update relationship properties
await rels.update('AUTHORED', 'post-456', { role: 'secondary' });

// Update one edge by durable relationship id
await rels.updateById('AUTHORED', 'rel_789', { role: 'reviewer' });

// Delete a relationship
await rels.delete('AUTHORED', 'post-456');

// Delete one edge by durable relationship id
await rels.deleteById('AUTHORED', 'rel_789');

Endpoint-based update and delete address the edge by source, relationship name, and target id. If your model allows parallel same-type edges between the same two records, use _relationship.id with updateById and deleteById.

Typed Relationship Helpers

Generated clients expose relationship helpers on source collections:

const assignments = await db.workers.relationships(workerId).assignedTo.list({
  where: { status: { equals: 'active' } },
  edgeWhere: { role: { equals: 'PRIMARY' } },
  limit: 10,
  orderBy: 'name',
  orderDirection: 'ASC',
});

await db.workers.relationships(workerId).assignedTo.update(projectId, {
  role: 'BACKUP',
});

await db.workers.relationships(workerId).assignedTo.updateById('rel_789', {
  role: 'PRIMARY',
});

The helper delegates to client.relationships(entityName, id), so advanced code can still use the base API directly.

Error Handling

import {
  FlxblApiError,
  FlxblAuthError,
  FlxblValidationError,
} from '@flxbl-dev/client';

try {
  await db.users.create({ email: 'bad' });
} catch (error) {
  if (error instanceof FlxblAuthError) {
    // 401 — re-authenticate
  } else if (error instanceof FlxblValidationError) {
    // 400 — check error.validationErrors
  } else if (error instanceof FlxblApiError) {
    // Generic API error — check error.statusCode
  }
}

How It Works

Under the hood, the client maps collection methods to FLXBL's Dynamic REST API:

| Method | HTTP Request | | ---------------------------- | ---------------------------------------- | | db.users.query(opts) | POST /api/v1/dynamic/User/query | | db.users.findMany(opts) | POST /api/v1/dynamic/User/query | | db.users.findById(id) | GET /api/v1/dynamic/User/:id | | db.users.create(data) | POST /api/v1/dynamic/User | | db.users.batchCreate(data) | POST /api/v1/dynamic/User/batch | | db.users.update(id, data) | PATCH /api/v1/dynamic/User/:id | | db.users.batchUpdate(data) | PATCH /api/v1/dynamic/User/batch | | db.users.delete(id) | DELETE /api/v1/dynamic/User/:id | | db.users.batchDelete(ids) | DELETE /api/v1/dynamic/User/batch | | db.docs.vectorSearch(opts) | POST /api/v1/dynamic/Doc/vector-search |

Requirements

  • Node.js >= 18 (for native fetch)
  • A FLXBL instance with an active schema

License

MIT