GraphBit

JavaScript/TypeScript bindings for the GraphBit agentic workflow automation framework.

Installation

npm install @infinitibit_gmbh/graphbit

Quick Start

import { init, LlmClient, LlmConfig } from '@infinitibit_gmbh/graphbit';

// Initialize GraphBit
init();

// Configure LLM provider
const config = LlmConfig.openai({
  apiKey: process.env.OPENAI_API_KEY,
  model: 'gpt-4o-mini'
});

// Create client and generate completion
const client = new LlmClient(config);
const response = await client.complete('What is AI?', 100);
console.log(response);

Features

• 🤖 Multi-LLM Support - OpenAI, Anthropic, Ollama
• 🔄 Workflow Automation - Build complex agentic workflows
• 🛠️ Tool Integration - Function calling and tool execution
• 📄 Document Processing - PDF, DOCX, text splitting
• 🎯 Type-Safe - Full TypeScript support
• ⚡ High Performance - Native Rust implementation via NAPI

Core APIs

LLM Client

const client = new LlmClient(config);
await client.complete(prompt, maxTokens);
await client.completeBatch(prompts, maxTokens, temperature, concurrency);

Workflows

const workflow = new WorkflowBuilder('My Workflow')
  .description('Description')
  .build();

const executor = new Executor(llmConfig);
const result = await executor.execute(workflow);

Embeddings

const embClient = new EmbeddingClient(embConfig);
const response = await embClient.embed(['text 1', 'text 2']);
const similarity = EmbeddingClient.similarity(emb1, emb2);

Document Processing

const loader = new DocumentLoader();
const doc = await loader.loadFile('./document.pdf');

const splitter = TextSplitter.recursive(500, 50);
const chunks = await splitter.split(doc.content);

Documentation

• 📚 Full Documentation
• 🔧 API Reference
• 🏠 Homepage

Requirements

• Node.js ≥ 16.0.0
• Supported platforms: Windows, macOS, Linux (x64, ARM64)

License

See LICENSE.md for details.

Links

• GitHub Repository
• Issues
• Website