@fluidframework/tinylicious-client

The tinylicious-client package provides a simple and powerful way to consume collaborative Fluid data with the Tinylicious service.

Using Fluid Framework libraries

For a dependency on a Fluid Framework library's public APIs, we recommend a ^ (caret) version range. For example, use ^1.3.4.

For a dependency on an unstable API, such as a beta API, we recommend a more restrictive version range. For example, use a ~ version range.

Installation

Run this command to install the package:

npm i @fluidframework/tinylicious-client

Importing from this package

This package uses package.json exports to separate APIs by support level. For information about the support guarantees, read API Support Levels.

Import the public APIs from @fluidframework/tinylicious-client.

Import the beta APIs from @fluidframework/tinylicious-client/beta.

API Documentation

Read the @fluidframework/tinylicious-client API documentation at https://fluidframework.com/docs/apis/tinylicious-client.

Using tinylicious-client

The tinylicious-client package has a default TinyliciousClient class that allows you to interact with Fluid.

import { TinyliciousClient } from "@fluidframework/tinylicious-client";

Instantiating TinyliciousClient

Fluid requires a backing service to enable collaborative communication. The TinyliciousClient instance will be instantitated against the Tinylicious service.

In the example below we are connecting to a locally running instance of our Tinylicious service running on port 7070 by filling out the optional port parameter in TinyliciousConnectionConfig.

import { TinyliciousClient, TinyliciousConnectionConfig } from "@fluidframework/tinylicious-client";

const clientProps = { connection: { port: 7070 } };
const tinyliciousClient = new TinyliciousClient(clientProps);

Fluid Containers

A Container instance is a organizational unit within Fluid. Each Container instance has a connection to the defined Fluid Service and contains an independent collection of collaborative objects.

Containers are created and identified by unique ids. Management and storage of these ideas are the responsibility of the developer.

Defining Fluid Containers

Fluid Containers are defined by a schema. The schema includes initial properties of the Container as well as what collaborative objects can be dynamically created.

See ContainerSchema in ./src/types/ts for details about the specific properties.

const schema = {
	initialObjects: {
		/* ... */
	},
	dynamicObjectTypes: [
		/*...*/
	],
};
const tinyliciousClient = new TinyliciousClient();
const { container, services } = await tinyliciousClient.createContainer(schema, "2.100.0" /* oldestSupportedClient */);

// Set any default data on the container's `initialObjects` before attaching
// Returned ID can be used to fetch the container via `getContainer` below
const id = await container.attach();

Using Fluid Containers

Using the default TinyliciousClient object the developer can create and get Fluid containers. Because Fluid needs to be connected to a server containers need to be created and retrieved asynchronously.

import { TinyliciousClient } from "@fluidframework/tinylicious-client";

const tinyliciousClient = new TinyliciousClient(props);
const { container, services } = await tinyliciousClient.getContainer("_unique-id_", schema, "2.100.0" /* oldestSupportedClient */);

Using initial objects

The most common way to use Fluid is through initial collaborative objects that are created when the Container is created.

Note: Collaborative objects are referred to as LoadableObjects within Fluid. LoadableObjects are specific to Fluid and expose a collaborative interface. DistributedDataStructures and DataObjects are types of LoadableObjects.

initialObjects are loaded into memory when the Container is loaded and the developer can access them off the Container via the initialObjects property. The initialObjects property has the same signature as the Container schema.

const schema = {
	initialObjects: {
		map1: SharedMap,
		text1: SharedString,
	},
};
const tinyliciousClient = new TinyliciousClient();
const { container, services } = await tinyliciousClient.getContainer("_unique-id_", schema, "2.100.0" /* oldestSupportedClient */);

const initialObjects = container.initialObjects;
const map1 = initialObjects.map1;
const text1 = initialObjects["text1"];

Using dynamic objects

LoadableObjects can also be created dynamically during runtime. Dynamic object types need to be defined in the dynamicObjectTypes property of the ContainerSchema.

The Container has a create method that will create a new instance of the provided type. This instance will be local to the user until attached to another loadable object. Dynamic objects created this way should be stored in initialObjects, which are attached when the Container is created. When storing a loadable object you must store a reference to the object and not the object itself. To do this use the handle property on the loadable object.

Dynamic objects are loaded on-demand to optimize for data virtualization. To get the loadable object, first get the stored handle then resolve that handle.

const schema = {
	initialObjects: {
		map1: SharedMap,
	},
	dynamicObjectTypes: [SharedString],
};
const tinyliciousClient = new TinyliciousClient();
const { container, services } = await tinyliciousClient.getContainer("_unique-id_", schema, "2.100.0" /* oldestSupportedClient */);
const map1 = container.initialObjects.map1;

const newText = await container.create(SharedString);
map1.set("text-unique-id", newText.handle);

// ...

const textHandle = map1.get("text-unique-id"); // Get the handle
const text = await map1.get(); // Resolve the handle to get the object

// or

const text = await map1.get("text-unique-id").get();

Minimum Client Requirements

Fluid Framework client libraries support the platforms in this document. These requirements are intentionally restrictive. Within a major version series, we can relax these requirements, but we cannot make them stricter. For a Long Term Support (LTS) version, we might need to support these platforms for several years.

Other configurations can work, but Fluid Framework does not support them. If an unsupported configuration stops working, we do not classify this as a bug. To request support for a configuration that is not listed, file an issue. The product team will evaluate your request. In the issue, specify the current status of the configuration:

• The configuration works but needs official support.
• The configuration does not work and requires changes.

Supported Runtimes

• Fluid Framework supports Node.js versions 22 and 24 while they receive upstream support.
  • Fluid Framework will stop support for version 22 when upstream support ends on 2027-04-30.
  • Fluid Framework does not support Node.js with the --no-experimental-fetch flag.
• Fluid Framework supports modern browsers that support the ES2022 standard library.

Supported Tools

• TypeScript 6.0:
  • Fluid Framework supports all strict options.
  • Set the build targets (lib, target) to ES2022 or later.
  • Enable strictNullChecks.
  • Fluid Framework does not support configuration options deprecated in TypeScript 6.0.
  • Fluid Framework does not fully support exactOptionalPropertyTypes. If you enable this option, do not use in, Reflect.has, Object.hasOwn, or Object.prototype.hasOwnProperty to narrow members of Fluid Framework types. These methods can incorrectly exclude undefined from the possible values.
• webpack 5
  • We do not require a specific bundler. Other bundlers that handle ES Modules can work, but we actively test only webpack.

Module Resolution

In TypeScript compilerOptions, use Node16, Node20, NodeNext, or Bundler module resolution. These settings follow the Node.js v12+ ESM Resolution and Loading algorithm.

Do not use Node10 module resolution.

Module Formats

• ES Modules: Use ES Modules to consume Fluid Framework client packages, including in Node.js.
• CommonJS: Fluid Framework does not officially support CommonJS in version 3.0 or later.

Contribution Guidelines

You can contribute to Fluid Framework in these ways:

• Answer questions in GitHub Discussions.
• Submit bug reports and help verify fixes.
• Review source code changes.
• Contribute bug fixes.

For detailed instructions, read the repo documentation.

This project follows the Microsoft Open Source Code of Conduct. For more information, read the Code of Conduct frequently asked questions. For questions or comments, contact [email protected].

This project may contain Microsoft trademarks or logos for Microsoft projects, products, or services. Use of these trademarks or logos must follow Microsoft’s Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.

Help

Read the Fluid Framework documentation for information about Fluid Framework concepts and APIs.

To request information that the documentation does not contain, create an issue.

Trademark

This project may contain Microsoft trademarks or logos for Microsoft projects, products, or services.

Use of these trademarks or logos must follow Microsoft's Trademark & Brand Guidelines.

Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.