Multi-Provider LLM Proxy Tutorial
Build a unified proxy that routes requests across OpenAI, Anthropic Claude, Google Gemini, and more. Learn to implement automatic failover, load balancing, and cost optimization across multiple AI providers.
Multi-Provider Architecture
How your proxy routes requests across different LLM providers.
Request Routing Flow
Router
Selection
Provider
Step-by-Step Tutorial
Build your multi-provider proxy from scratch with these detailed steps.
Set up configuration for each LLM provider including API endpoints, authentication, and model mappings.
interface ProviderConfig { name: string; apiKey: string; baseUrl: string; models: string[]; rateLimit: number; } const providers: ProviderConfig[] = [ { name: 'openai', apiKey: process.env.OPENAI_API_KEY, baseUrl: 'https://api.openai.com/v1', models: ['gpt-4', 'gpt-4-turbo', 'gpt-3.5-turbo'], rateLimit: 500 }, { name: 'anthropic', apiKey: process.env.ANTHROPIC_API_KEY, baseUrl: 'https://api.anthropic.com/v1', models: ['claude-3-5-sonnet', 'claude-3-opus'], rateLimit: 300 }, { name: 'google', apiKey: process.env.GOOGLE_API_KEY, baseUrl: 'https://generativelanguage.googleapis.com/v1', models: ['gemini-pro', 'gemini-ultra'], rateLimit: 200 } ];
Create adapters that normalize requests and responses across different provider APIs.
class ProviderAdapter { async sendRequest(provider: string, request: LLMRequest) { switch (provider) { case 'openai': return this.sendOpenAI(request); case 'anthropic': return this.sendAnthropic(request); case 'google': return this.sendGoogle(request); } } private async sendAnthropic(request: LLMRequest) { // Convert to Anthropic format const anthropicRequest = { model: request.model.replace('gpt-4', 'claude-3-5-sonnet'), messages: request.messages, max_tokens: request.max_tokens || 4096 }; const response = await fetch('https://api.anthropic.com/v1/messages', { method: 'POST', headers: { 'x-api-key': process.env.ANTHROPIC_API_KEY, 'anthropic-version': '2023-06-01' }, body: JSON.stringify(anthropicRequest) }); return this.normalizeResponse(await response.json(), 'anthropic'); } }
Implement intelligent routing that selects providers based on model, cost, latency, or custom rules.
class ProviderRouter { selectProvider(request: LLMRequest): string { // Route by model name if (request.model.startsWith('gpt')) return 'openai'; if (request.model.startsWith('claude')) return 'anthropic'; if (request.model.startsWith('gemini')) return 'google'; // Fallback to cost-optimized routing return this.getCheapestProvider(request); } async handleRequest(request: LLMRequest) { const provider = this.selectProvider(request); try { return await this.adapter.sendRequest(provider, request); } catch (error) { // Automatic failover return await this.failover(request, provider); } } }
Add automatic failover to switch providers when one fails or hits rate limits.
async function failover(request: LLMRequest, failedProvider: string) { const alternatives = providers .filter(p => p.name !== failedProvider) .sort((a, b) => a.latency - b.latency); for (const provider of alternatives) { try { console.log(`Failing over to ${provider.name}`); return await adapter.sendRequest(provider.name, request); } catch (error) { continue; } } throw new Error('All providers failed'); }
Multi-Provider Features
Key capabilities enabled by multi-provider proxy architecture.
Automatic Failover
When one provider fails or hits rate limits, automatically switch to alternative providers without service interruption.
Cost Optimization
Route requests to the most cost-effective provider for each task. Balance quality and cost automatically.
Latency Routing
Route to the fastest provider based on real-time latency measurements. Optimize for user experience.
Provider Lock-in Prevention
Stay flexible by supporting multiple providers. Switch easily without changing client code.
Unified Analytics
Track usage, costs, and performance across all providers in a single dashboard.
Model Fallbacks
Map equivalent models across providers. If GPT-4 is unavailable, use Claude 3.5 automatically.
Provider Comparison
Understanding the differences between major LLM providers.
| Feature | OpenAI | Anthropic | Meta | |
|---|---|---|---|---|
| Best For | General Purpose | Long Context | Multimodal | Open Source |
| Context Window | 128K | 200K | 1M | 128K |
| Tool Calling | Excellent | Excellent | Good | Limited |
| Vision | Yes | Yes | Yes | Yes |
| Streaming | Yes | Yes | Yes | Yes |
| Cost (Input) | $$$ | $$ | $$ | Free |
Build Your Multi-Provider Proxy
Follow our complete tutorial to implement a unified proxy that works with all major LLM providers. Avoid lock-in and maximize reliability.