NimbleBrain SDK for TypeScript

Official TypeScript SDK for the NimbleBrain Studio API.

Features

• High-level API - Clean, intuitive interface for Nira conversations and playbooks
• Streaming support - Real-time SSE streaming with typewriter effect
• TypeScript first - Full type definitions for all API responses
• Auto-generated types - OpenAPI-generated types ensure API compatibility

Requirements

• Node.js >= 18.0.0

Installation

npm install @nimblebrain/sdk

Quick Start

import { NimbleBrain } from '@nimblebrain/sdk';

const nb = new NimbleBrain({ apiKey: 'nb_live_...' });

// Create a conversation with Nira
const conversation = await nb.nira.createConversation('My Chat');

// Stream the response in real-time
for await (const event of nb.nira.stream(conversation.id, 'Hello!')) {
  if (event.type === 'message.content') {
    process.stdout.write(event.data.content as string);
  } else if (event.type === 'message.done') {
    console.log('\nDone!');
  }
}

Authentication

Get your API key from NimbleBrain Studio at Settings > API Keys.

import { NimbleBrain } from '@nimblebrain/sdk';

const nb = new NimbleBrain({
  apiKey: 'nb_live_xxxxxxxxxxxxx',
  baseUrl: 'https://api.nimblebrain.ai', // Optional, this is the default
});

Streaming Messages

The SDK provides real-time streaming for Nira responses via Server-Sent Events (SSE):

const conversation = await nb.nira.createConversation('My Chat');

for await (const event of nb.nira.stream(conversation.id, 'Tell me a joke')) {
  switch (event.type) {
    case 'message.meta':
      console.log('Message ID:', event.data.messageId);
      break;
    case 'message.content':
      // Text chunk - display with typewriter effect
      process.stdout.write(event.data.content as string);
      break;
    case 'message.tool':
      // Tool execution status
      console.log(`Tool: ${event.data.toolName} - ${event.data.status}`);
      break;
    case 'message.actionCards':
      // Action cards (e.g., OAuth prompts)
      console.log('Action cards:', event.data.actionCards);
      break;
    case 'message.done':
      console.log('\nResponse complete!');
      break;
    case 'error':
      console.error('Error:', event.data.error);
      break;
  }
}

API Reference

Nira (Conversations)

// Create a new conversation
const conversation = await nb.nira.createConversation('My Chat');

// Get conversation details
const conv = await nb.nira.getConversation(conversationId);

// List messages in a conversation (paginated)
const { messages, total } = await nb.nira.listMessages(conversationId, {
  limit: 50,
  offset: 0,
});

// Send a message (non-streaming, blocks until complete)
const response = await nb.nira.sendMessage(conversationId, 'Hello!');

// Send with streaming (recommended for UI)
for await (const event of nb.nira.stream(conversationId, 'Hello!')) {
  // Handle streaming events
}

Playbooks

// List all playbooks
const playbooks = await nb.playbooks.list();

// Execute a playbook
const { id } = await nb.playbooks.execute(playbookId, { param1: 'value' });

// Poll for results
const execution = await nb.executions.get(id);

// Or use the helper that waits for completion
const result = await nb.executions.waitForCompletion(id, {
  timeoutMs: 60000,
  pollIntervalMs: 1000,
});

Low-Level API

For advanced use cases, you can use the auto-generated OpenAPI functions directly:

import { postV1NiraConversations, getV1NiraConversationsById } from '@nimblebrain/sdk';
import { createClient, createConfig } from '@nimblebrain/sdk/client';

const client = createClient(createConfig({
  baseUrl: 'https://api.nimblebrain.ai',
  headers: { Authorization: 'Bearer nb_live_...' },
}));

const { data, error } = await postV1NiraConversations({
  client,
  body: { title: 'My Chat' },
});

Error Handling

try {
  const conversation = await nb.nira.createConversation('My Chat');
} catch (error) {
  if (error instanceof Error) {
    console.error('API error:', error.message);
  }
}

Demo Application

See the /demo folder for a complete React application demonstrating:

• Streaming chat with Streamdown typewriter effect
• Playbook execution with polling
• Dark mode support

cd demo
npm install
npm run dev

Development

# Install dependencies
npm install

# Generate SDK from OpenAPI spec (requires API server running)
npm run generate

# Build
npm run build

# Type check
npm run typecheck

# Run tests
npm run test

Publishing

# Publish to npm (runs prepublishOnly automatically)
npm publish

Links

• NimbleBrain Studio
• API Documentation
• GitHub Issues

License

Apache-2.0