dalabase

AI Stack for AI Engineers

AI Stack simplifies the creation and management of AI agents using the Langbase SDK.

Install

npm install dalabase
pnpm install dalabase

Usage

Full documentation is available at Langbase SDK. First, set up your environment variables by creating a .env file in your project root:

LANGBASE_API_KEY=your_api_key_here

Replace your_api_key_here with your actual Langbase API key.

Then, use the package in your project:

import {
createAgent,
runAgent,
createMemory,
uploadDocument,
retrieveMemory,
} from 'dalabase';

const agentConfig = {
name: 'MyAgent',
description: 'An AI agent for processing data',
// Add other configuration details as needed
};

async function main() {
// Create an agent
const agent = await createAgent(agentConfig);

// Run the agent
const response = await runAgent(agent.name, [
	{ role: 'user', content: 'Your input here' },
]);
console.log('Agent response:', response);

// Create a memory
const memory = await createMemory({
	name: 'knowledge-base',
	description: 'A memory for storing documents',
});

// Upload a document to memory
await uploadDocument('knowledge-base', {
	contentType: 'application/pdf',
	documentName: 'example-doc.pdf',
	document: fs.readFileSync('path/to/document.pdf'),
	meta: {
	author: 'Author Name',
	url: 'https://example.com/document.pdf',
	},
});

// Retrieve information from memory
const results = await retrieveMemory('knowledge-base', 'Your query here');
console.log('Memory retrieval results:', results);
}

main();

Changelog

❯ Read the changelog here →

KEY: 📦 NEW, 👌 IMPROVE, 🐛 FIX, 📖 DOC, 🚀 RELEASE, and 🤖 TEST

I use Emoji-log, you should try it and simplify your git commits.

License & Conduct

• MIT © Ahmad Awais
• Code of Conduct

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