Build Intelligent AI Chat Applications

A flexible SDK for creating powerful AI chat experiences with multiple language models.

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How can I implement AI voice chat in my app?

With our WebSocket SDK, you can add voice chat to your app in just a few lines of code. We handle speech-to-text, AI processing, and text-to-speech seamlessly!

Do you support multiple languages?

Yes! We support over 10 languages for both text and voice interactions. Our platform includes... 

// Initialize the client
const client = new ZeebeeClient({
  apiKey: 'YOUR_API_KEY',
  userId: 'user123'
});

// Use speech-to-text conversion
const transcript = await client.speechToText({
  audioData: audioBuffer,
  language: 'en-US',
  model: 'whisper-1'
});

console.log(`Transcription: ${transcript.text}`);

Key Features

Everything you need to build powerful AI conversational experiences

Voice Capabilities

Integrate speech-to-text and text-to-speech functionality.

Real-time Communication

Enable seamless real-time chat with WebSocket support.

Multi-model Support

Connect to a variety of AI models from OpenAI, Anthropic, and more.

Semantic Search

Vector-based search of conversations and messages for advanced retrieval.

Policy Engine

Content safety, response guidelines, and domain-specific policies for controlled AI.

Analytics & Feedback

Track and analyze AI response quality and user feedback to improve over time.

Autonomous Routing

Intelligently detect user intents and route requests to the optimal agent, pipeline, or model.

Dynamic Layout Engine

Automatically select the optimal visual presentation based on message complexity and content type.

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Enhanced Context Handling

Advanced episodic memory system with visualization tools, topic detection, and intelligent summarization.

See it in action

Try It Yourself

Experience the power of our AI Chat SDK with this interactive demo. Ask questions, try voice input, and see the platform in action.

Text Chat

Ask questions and get intelligent responses

Voice Input

Speak and hear responses naturally

Model Selection

Choose between different AI models

Dynamic Layouts

Optimal presentation for each response type

Memory Visualization

Timeline and graph views of conversation history

ZeebeeAI Demo

Hello! I'm ZeebeeAI. Ask me anything or click the microphone to use voice.

Our Products

Choose the solution that fits your development needs

AI Chat SDK

Integrate AI chat capabilities into your applications with our easy-to-use SDKs for multiple platforms.

  • JavaScript/TypeScript SDK
  • Python SDK
  • Flutter SDK
  • Multi-model support
  • Easy integration
Documentation

Agent Orchestration

Build dynamic AI pipelines by connecting specialized agents for complex task automation and intelligent workflows.

  • Zero-code pipeline builder
  • Specialized AI agents
  • Dynamic data routing
  • Process monitoring
  • Enterprise-grade security
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Autonomous Routing

Intelligently detect user intents and route conversations to the optimal agents, pipelines, or models.

  • Real-time intent detection
  • Intelligent request routing
  • Self-learning models
  • Analytics dashboard
  • Feedback-driven improvements
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Dynamic Layout Engine

Automatically generate the optimal visual presentation for each AI response based on content type and complexity.

  • Content-aware layouts
  • Visualization selection
  • Complexity analysis
  • Domain-specific formatting
  • User context adaptation
Demo Available

Speech-to-Text API

Convert spoken language into text with our high-accuracy speech recognition API.

  • Multiple language support
  • High accuracy transcription
  • Background noise filtering
  • Dialect recognition
  • Real-time processing
Learn More

Enhanced Context Handling

Advanced memory system with episodic organization, visualization tools, and intelligent context management.

  • Timeline visualization
  • Auto-topic detection
  • LLM-based summarization
  • Graph visualization
  • Hot/warm/cold memory tiers
Log In to Access

Enterprise AI Platform

Complete enterprise solution with advanced customization, security features, and dedicated support.

  • Custom model training
  • Domain-specific policies
  • Advanced analytics
  • Dedicated infrastructure
  • Priority support
Contact Sales

Easy to Integrate

Our SDKs make it simple to add powerful AI conversational capabilities to your applications.

  • JavaScript SDK

    Perfect for web applications and Node.js services

  • Python SDK

    Ideal for backend services and data analysis applications

  • Flutter icon
    Flutter SDK

    Build cross-platform mobile apps with AI chat capabilities

View SDK Documentation 
import { ZeebeeAI } from 'zeebee-ai-client';

// Initialize the client
const client = new ZeebeeClient({
  apiKey: 'YOUR_API_KEY'
});

// Send a message and get a response
async function sendMessage() {
  const response = await client.chat({
    message: 'Hello, how can you help me?',
    model: 'gpt-4o'
  });
  
  console.log(response.message);
}
from zeebee_ai_client import ZeebeeAI

# Initialize the client
client = ZeebeeAI(
    api_key="YOUR_API_KEY",
    user_id="user123"
)

# Send a message and get a response
response = client.chat(
    message="Hello, how can you help me?",
    model="gpt-4o"
)

print(response.message)
import 'package:zeebee_ai_client/zeebee_ai_client.dart';

void main() async {
  final client = ZeebeeAI(
    apiKey: 'YOUR_API_KEY',
    userId: 'user123'
  );
  
  final response = await client.chat(
    message: 'Hello, how can you help me?',
    model: 'gpt-4o'
  );
  
  print(response.message);
}

Trusted by Developers

See what our customers have to say about ZeebeeAI

"The ZeebeeAI SDK has transformed our customer support application. The voice chat integration is seamless, and our users love the natural conversations."

SH
Sarah H.

CTO, SupportHub

"We integrated ZeebeeAI into our educational platform in just one day. The multi-model support gives us flexibility, and the policy engine ensures safe content for students."

MJ
Michael J.

Lead Developer, EduTech

"The semantic search feature has been a game-changer for our knowledge base application. Our users can find exactly what they need with natural language queries."

AL
Aisha L.

Product Manager, KnowledgeBase

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