langbase

Langbase SDK

The AI framework for building declarative and composable AI-powered LLM products.

Documentation

Check the Langbase SDK documentation for more details.

The following examples are for reference only. Prefer docs for the latest information.

Getting Started with langbase SDK

Installation

First, install the langbase package using npm or yarn:

npm install langbase

or

pnpm add langbase

or

yarn add langbase

Usage

You can generateText or streamText based on the type of a pipe.

Check our SDK documentation for more details.

Example projects

Check the following examples:

• Node: Generate Text
• Node: Stream Text
• Next.js Example
  • TypeScript code
  • React component to display the response
  • API Route handlers to send requests to ⌘ Langbase

Node.js Example Code

Node.js Examples

Add a .env file with your Pipe API key

# Add your Pipe API key here.
LANGBASE_PIPE_API_KEY="pipe_12345`"

---

Generate text generateText()

For more check the API reference of generateText()

import 'dotenv/config';
import {Pipe} from 'langbase';

// 1. Initiate the Pipe.
const pipe = new Pipe({
	// Make sure you have a .env file with any pipe you wanna use.
	// As a demo we're using a pipe that has less wordy responses.
	apiKey: process.env.LANGBASE_PIPE_API_KEY!,
});

// 3. Generate the text by asking a question.
const result = await pipe.generateText({
	messages: [{role: 'user', content: 'Who is an AI Engineer?'}],
});

// 4. Done: You got the generated completion.
console.log(result.completion);

---

Stream text streamText()

For more check the API reference of streamText()

import 'dotenv/config';
import {Pipe} from 'langbase';

// 1. Initiate the Pipe.
const pipe = new Pipe({
	// Make sure you have a .env file with any pipe you wanna use.
	// As a demo we're using a pipe that has less wordy responses.
	apiKey: process.env.LANGBASE_PIPE_API_KEY!,
});

// 2. Generate a stream by asking a question
const stream = await pipe.streamText({
	messages: [{role: 'user', content: 'Who is an AI Engineer?'}],
});

// 3. Print the stream
for await (const chunk of stream) {
	// Streaming text part — a single word or several.
	const textPart = chunk.choices[0]?.delta?.content || '';

	// Demo: Print the stream — you can use it however.
	process.stdout.write(textPart);
}

Check out more examples in the docs →