How RBAOS Routes 500 Models Across 14 AI Providers

The Provider Catalog

RBAOS currently routes across 14 AI providers, covering the major frontier model companies, specialized providers, and infrastructure-layer providers that offer open-weight model hosting.

Provider categories include:

• Frontier model providers — Anthropic (Claude), OpenAI (GPT series), Google (Gemini series), Mistral
• Specialized reasoning providers — DeepSeek, xAI (Grok), Cohere
• Open-weight model hosting — Together AI, Fireworks, Replicate, Groq (for fast inference)
• Enterprise infrastructure — AWS Bedrock, Azure OpenAI, Google Vertex AI

This matters because different providers in the same tier have different strengths. Groq is exceptionally fast for inference at small model sizes. AWS Bedrock and Azure OpenAI are the right choice for teams with existing cloud enterprise agreements and data governance requirements.

How the Routing Layer Handles 500 Models

With 500 models across 14 providers, the routing logic has to be structured to avoid decision paralysis. RBAOS handles this through a hierarchical model organization:

Tier 1: Frontier Models — Highest capability, highest cost. Includes flagship models from Anthropic, OpenAI, and Google. Used for complex reasoning, long-context, and high-stakes tasks.

Tier 2: Production Mid-range — Strong capability at reasonable cost. Includes mid-range Claude, GPT-4o, Gemini Pro variants. The working horse of most production AI stacks.

Tier 3: Fast/Cheap Models — Optimized for speed and cost. Includes Haiku, Flash, Mini variants, and Groq-hosted models. Right for high-volume, low-complexity tasks.

Tier 4: Specialized Models — Domain-specific or capability-specific models. Code-specialized, vision-specialized, embedding, and reasoning-specialized models.

// Requesting routing across the full catalog
const response = await fetch('https://api.rbaos.com/v1/chat/completions', {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${process.env.RBAOS_API_KEY}`,
    'X-Task-Type': 'code-generation',
    'X-Routing-Tier': 'frontier'  // restrict to top tier for this request
  },
  body: JSON.stringify({
    model: 'auto',
    messages,
    max_tokens: 4000
  })
});

// Or specify a provider preference without locking in a model
const response = await fetch('https://api.rbaos.com/v1/chat/completions', {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${process.env.RBAOS_API_KEY}`,
    'X-Provider-Preference': 'anthropic,google'  // prefer these providers, in order
  },
  body: JSON.stringify({
    model: 'auto',
    messages
  })
});

Real-Time Provider Health Monitoring

Managing 14 providers means tracking 14 separate reliability surfaces. RBAOS runs continuous health checks across every provider, monitoring:

• Error rate per provider (5xx, timeouts, connection failures)
• Latency percentiles (p50, p95, p99) updated every 30 seconds
• Rate limit approach signals (to proactively redistribute before hitting limits)
• Model-specific availability (individual models within a provider can have issues even when the provider's API is generally healthy)

When a provider starts degrading — error rate climbing, latency spiking — the routing layer starts redistributing traffic away from it before failures reach your application. This proactive redistribution is what keeps your application resilient even during partial provider incidents.

Provider-Specific Optimizations

Beyond routing, RBAOS applies provider-specific optimizations that most teams would not implement themselves:

Request format normalization — Different providers have slightly different API schemas. RBAOS normalizes your request to the correct format for whichever provider is serving it.

Token counting alignment — Token counts differ between providers using different tokenizers. Cost estimates and context window management account for the actual tokenizer of the selected model.

Streaming compatibility — Streaming response format varies between providers. RBAOS normalizes the stream format so your application receives consistent events regardless of which provider is streaming.

Error message normalization — Provider error formats are all different. RBAOS normalizes errors into a consistent format so your error handling does not need to be provider-specific.

Data Residency and Compliance Routing

For teams with geographic data constraints, RBAOS supports compliance-aware routing. You can configure projects to only route to providers that host data in specific regions, ensuring that requests from EU users, for example, only go to EU-based inference endpoints.

This is particularly relevant for teams using AWS Bedrock (us-east, eu-west regions available), Azure OpenAI (regional deployments), or Google Vertex AI (regional model serving).

For a full overview of the RBAOS platform including what sits on top of the routing layer, see what is RBAOS. For getting started with the API, RBAOS Code has the setup documentation. Pricing details per tier are on the pricing page.