dalabase

   

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


Install

``sh
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:

`shell
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:

`javascript
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.md)

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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