Advanced AI Chat Features
Discover the complete set of AI communication capabilities that power our SDK platform.
Platform Overview
Our comprehensive AI Chat SDK provides developers with powerful tools to build intelligent conversational experiences.
Multi-Model Support
Access ChatGPT, Claude, Gemini and more through a unified API interface.
Agent Orchestration
Build powerful AI workflows by connecting specialized agents in dynamic pipelines.
Autonomous Routing
Intelligently detect user intents and route requests to the optimal agent, pipeline, or model.
Voice Capabilities
Add real-time voice chat with advanced speech-to-text and text-to-speech.
Content Safety
Built-in policy engine to enforce content guidelines and safety standards.
Real-time Streaming
Stream AI responses as they're generated for a fluid user experience.
Semantic Search
Vector-based search of conversations and messages for better retrieval.
Analytics & Feedback
Track usage, analyze quality metrics, and collect user feedback.
Enhanced Security
Comprehensive security with best practices for API authentication and data protection.
Comprehensive Docs
Detailed API reference, code samples, and integration guides for developers.
Flexible Integration
Easy to integrate with JavaScript, Python, and Flutter applications.
Multi-Model AI Support
Access the latest AI language models through a single, unified interface.
Our platform provides seamless integration with multiple AI providers, allowing you to switch between models with a single line of code or offer multiple options to your users.
Supported Models:
- OpenAI GPT-4o, GPT-4, GPT-3.5 Turbo
- Anthropic Claude 3 (Opus, Sonnet, Haiku)
- Google Gemini Pro and Ultra
- Custom open source models (via API)
// Switch models with a single parameter
const client = new ZeebeeClient({
apiKey: 'YOUR_API_KEY'
});
// Using OpenAI
const gpt4Response = await client.chat({
model: 'gpt-4o',
messages: [{ role: 'user', content: prompt }]
});
// Using Claude
const claudeResponse = await client.chat({
model: 'claude-3-opus',
messages: [{ role: 'user', content: prompt }]
});
Real-time Voice Chat
Enable natural voice conversations with integrated speech processing.
Our WebSocket-based voice chat system handles the entire pipeline: speech recognition, AI processing, and high-quality voice synthesis for responses.
Voice Features:
- Real-time speech recognition in 10+ languages
- Natural text-to-speech with multiple voice options
- WebSocket streaming for instant responses
- Cross-platform compatibility
// Initialize voice chat with simple options
await client.connectVoiceChat({
// When user speaks and is transcribed
onTranscript: (transcript) => {
console.log(`User said: ${transcript.text}`);
updateUI(transcript.text, 'user');
},
// When AI responds with text
onResponse: (response) => {
console.log(`AI response: ${response.text}`);
updateUI(response.text, 'ai');
},
// When AI responds with audio
onAudioResponse: (audioBlob) => {
// Play the audio response
const audio = new Audio(URL.createObjectURL(audioBlob));
audio.play();
}
});
Advanced Policy Engine
Enforce content guidelines and safety standards with our flexible policy engine.
Control what users can ask and how AI responds with configurable policies that are applied in real-time to every interaction.
Policy Features:
- Content safety filters for harmful content
- Domain-specific policy templates
- Response guidelines for consistent AI behavior
- Custom policy creation through YAML configuration
# Example policy configuration (YAML)
name: Healthcare Policy
description: "Policy for healthcare applications"
version: "1.0.0"
enabled: true
rules:
- name: medical_advice_disclaimer
description: "Add disclaimer for medical advice"
condition: "intent:medical_advice"
action: modify_response
parameters:
prefix: "Important: The following is for informational purposes only and not a substitute for professional medical advice:"
- name: pii_protection
description: "Block requests for patient information"
condition: "intent:request_patient_data"
action: block
parameters:
message: "I cannot access or discuss specific patient information for privacy and compliance reasons."
Agent Orchestration
Build powerful AI workflows by connecting specialized agents in dynamic pipelines.
Our Agent Orchestration system allows you to create complex AI workflows by connecting specialized agents together into pipelines. Each agent can perform a specific task and pass its output to the next agent in the sequence.
Orchestration Features:
- Zero-code pipeline builder with intuitive UI
- Specialized AI agents for different tasks
- Dynamic data routing between agents
- Real-time execution monitoring
- Conditional branching and error handling
// Create a pipeline with multiple specialized agents
const pipeline = await client.createPipeline({
name: "Content Creation Pipeline",
description: "Generate, enhance, and optimize content",
stages: [
{
name: "Research Agent",
type: "researcher",
config: {
depth: "comprehensive",
sources: ["academic", "industry"]
}
},
{
name: "Content Generator",
type: "content_creator",
config: {
style: "professional",
format: "blog_post"
}
},
{
name: "Content Optimizer",
type: "seo_optimizer",
config: {
target_keywords: ["AI", "orchestration", "workflow"]
}
}
]
});
// Execute the pipeline with input data
const result = await client.executePipeline(pipeline.id, {
topic: "The Future of AI Orchestration",
audience: "technology professionals",
desired_length: "1500 words"
});
Autonomous Routing
Intelligently detect user intents and route requests to the optimal agent, pipeline, or model.
Our Autonomous Routing system analyzes user messages in real-time to determine their intent, then automatically routes the request to the most appropriate AI agent, pipeline, or model for optimal handling.
Routing Features:
- Advanced intent detection using NLP and AI
- Self-learning models that improve over time
- User feedback integration for continuous improvement
- Detailed analytics and performance metrics
- Customizable routing rules and policies
// Use the autonomous routing system
const router = new ZeebeeAI.AutonomousRouter({
apiKey: 'YOUR_API_KEY'
});
// Process a user message
const routingResult = await router.routeMessage({
message: "Can you analyze this dataset and suggest visualizations?",
conversationId: "conv-12345",
context: {
history: [
{ role: "user", content: "I have some sales data I'd like to analyze" },
{ role: "assistant", content: "I'd be happy to help with that!" }
],
user: {
preferences: { dataVizTools: ["tableau", "matplotlib"] }
}
}
});
// The system detects the intent and routes appropriately
console.log(`Detected Intent: ${routingResult.intent.category}`);
console.log(`Intent Confidence: ${routingResult.intent.confidence}`);
console.log(`Routing To: ${routingResult.routeTo}`);
console.log(`Route Type: ${routingResult.routeType}`);
// Get the response from the routed destination
const response = await router.getResponse(routingResult.id);
Enhanced Security
Comprehensive security features to protect your data and users.
Our platform implements industry best practices for securing AI communications, protecting sensitive information, and ensuring compliance with security standards.
Security Features:
- Secure API key management with proper hashing
- Comprehensive authentication for all endpoints
- Environment variable-based configuration for credentials
- Input validation and sanitization
- WebSocket security with token authentication
# Security checklist (from our documentation)
✅ All API endpoints protected with authentication
✅ Session-based auth for web interface
✅ API key auth for programmatic access
✅ Secure token generation for API keys
✅ API keys stored as hashed values in database
✅ Password storage using secure hashing
✅ Account lockout after failed login attempts
✅ Role-based access control
✅ Subscription tier-based feature access
✅ No storage of sensitive provider API keys in code
✅ Environment variables for all secrets
✅ Security headers in HTTP responses
✅ CORS configuration for cross-origin requests
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