Integration Overview
UAICP is designed to integrate seamlessly with existing AI protocol ecosystems. This guide provides an overview of how to integrate UAICP with various platforms and protocols.
Integration Philosophy
UAICP follows a non-invasive integration approach:
- ✅ Enhance, don't replace existing protocols
- ✅ Preserve existing functionality while adding interoperability
- ✅ Minimal code changes to existing systems
- ✅ Progressive adoption - start simple, add features over time
Supported Protocols
Primary Protocol Integrations
Protocol | Status | Integration Type | Complexity |
---|---|---|---|
MCP (Anthropic) | ✅ Active | Bridge & Extension | Medium |
OpenAI API | ✅ Active | Translation Layer | Low |
Google A2A | 🔄 In Progress | Bridge & Discovery | Medium |
Hugging Face | 📋 Planned | API Wrapper | Low |
Ollama | 📋 Planned | Local Integration | Medium |
Platform Integrations
Platform | Status | Integration Guide | Notes |
---|---|---|---|
LangChain | ✅ Available | Custom Provider | Easy integration |
LlamaIndex | 🔄 In Progress | Service Context | Modular approach |
AutoGen | 📋 Planned | Agent Framework | Multi-agent focus |
CrewAI | 📋 Planned | Tool Integration | Workflow-based |
Integration Patterns
1. Translation Layer Pattern
Best for: REST APIs, OpenAI-compatible services
// Your existing code stays the same
const openai = new OpenAI({ apiKey: 'your-key' });
// UAICP adds universal routing and discovery
const uaicp = new UAICP({
fallbackProviders: ['anthropic', 'local-llm'],
translationLayer: true
});
// Requests automatically route to best available service
const response = await uaicp.chat.completions.create({
model: 'gpt-4', // Will route to available equivalent
messages: [{ role: 'user', content: 'Hello' }]
});
2. Bridge Pattern
Best for: Complex protocols like MCP, A2A
// UAICP bridges between different protocol ecosystems
const mcpServer = new MCPServer();
const uaicpBridge = new UAICPBridge();
// MCP tools become available to OpenAI clients
uaicpBridge.bridgeProtocols(mcpServer, 'openai-compatible');
// Now OpenAI clients can use MCP tools seamlessly
const result = await openaiClient.chat.completions.create({
model: 'gpt-4',
messages: [...],
tools: mcpTools // Automatically translated
});
3. Discovery Enhancement Pattern
Best for: Multi-service environments
// UAICP enhances existing discovery mechanisms
const services = await uaicp.discovery.findServices({
capabilities: ['text-generation', 'function-calling'],
protocols: ['openai', 'mcp', 'anthropic'],
performance: { latency: '<100ms' },
cost: { maxPerToken: 0.001 }
});
// Use the best service for your needs
const bestService = services[0];
const response = await uaicp.send(request, { serviceId: bestService.id });
Quick Integration Guide
Step 1: Choose Your Integration Type
For REST API Services (OpenAI, Anthropic, etc.)
npm install @uaicp/client
import { UAICP } from '@uaicp/client';
const client = new UAICP({
providers: ['openai', 'anthropic', 'local'],
fallbackEnabled: true
});
For Protocol Services (MCP, A2A)
npm install @uaicp/bridge
import { UAICPBridge } from '@uaicp/bridge';
const bridge = new UAICPBridge();
await bridge.connect('mcp://localhost:3000', 'openai-compatible');
For Framework Integration (LangChain, LlamaIndex)
npm install @uaicp/langchain
# or
npm install @uaicp/llamaindex
Step 2: Configure Discovery
// Configure how UAICP discovers services
const config = {
discovery: {
mechanisms: ['dns', 'registry', 'local'],
preferences: {
protocols: ['mcp', 'openai', 'anthropic'],
regions: ['us-east', 'local'],
performance: 'balanced' // or 'speed', 'cost', 'quality'
}
}
};
Step 3: Add Routing Logic
// Define how requests should be routed
const routing = {
rules: [
{
condition: { messageType: 'function-call' },
prefer: ['mcp', 'openai'],
fallback: true
},
{
condition: { tokensEstimate: '>10000' },
prefer: ['local-llm', 'cost-effective'],
qualityThreshold: 0.8
}
]
};
Migration Strategies
Strategy 1: Gradual Replacement
Best for: Existing production systems
- Phase 1: Add UAICP as fallback
- Phase 2: Route specific requests through UAICP
- Phase 3: Make UAICP primary with existing as fallback
- Phase 4: Full UAICP integration
Strategy 2: New Feature Integration
Best for: Adding new capabilities
- Use UAICP for new features requiring multi-provider support
- Keep existing features on current implementation
- Gradually migrate features to UAICP as needed
Strategy 3: Development Environment First
Best for: Risk-averse organizations
- Implement UAICP in development/staging
- Test interoperability scenarios
- Measure performance and reliability
- Roll out to production gradually
Implementation Checklist
Basic Integration ✅
- Choose integration pattern (Translation/Bridge/Discovery)
- Install appropriate UAICP packages
- Configure basic service discovery
- Test with primary use cases
- Set up fallback mechanisms
Advanced Integration 🔧
- Configure custom routing rules
- Set up monitoring and observability
- Implement security policies
- Add performance optimization
- Set up automated testing
Production Ready 🚀
- Load testing with multiple providers
- Error handling and recovery testing
- Security audit and compliance check
- Documentation and team training
- Monitoring and alerting setup
Common Integration Challenges
Challenge 1: Protocol Differences
Solution: Use UAICP's translation layer to handle format differences automatically.
Challenge 2: Authentication Variations
Solution: Configure UAICP's unified auth system to handle multiple authentication methods.
Challenge 3: Capability Mismatches
Solution: Use UAICP's capability negotiation to find compatible alternatives.
Challenge 4: Performance Concerns
Solution: Implement UAICP's adaptive routing to optimize for your performance requirements.
Support and Resources
Documentation
- MCP Integration Guide - Detailed MCP bridge setup
- OpenAI Integration Guide - OpenAI compatibility layer
- Enterprise Deployment - Production deployment guidance
Community
- GitHub Discussions - Technical questions
- Discord Community - Real-time help
- Integration Examples - Code samples
Professional Support
- Architecture consulting for complex integrations
- Custom protocol adapter development
- Enterprise deployment assistance
Ready to start integrating? Choose your platform from the guides below! 👇