Inside Rumbe AI: The BYOL Architecture That Changes Everything
When we announced Bring Your Own LLM support, the most common question was simple: how? How do you maintain sub-200ms latency while routing inference through arbitrary model endpoints that you do not control? The answer is architectural.
How do you maintain sub-200ms latency while routing through endpoints you do not control? The answer is architectural.
The BYOL gateway is a lightweight proxy that sits between the orchestration layer and the model endpoint. It handles authentication, request transformation, response normalization, and—critically—circuit breaking. If a client model endpoint degrades, the gateway can failover to a pre-configured backup within 50ms.
Request transformation is more complex than it appears. Each LLM provider has its own API format, token counting method, and streaming protocol. The gateway normalizes these differences behind a unified interface, so the orchestration layer never needs to know which model is being used.
Cost routing adds another dimension. Clients can configure rules: use GPT-4o for complex queries, Claude Haiku for simple ones, and a self-hosted Llama model for anything containing PII. The gateway evaluates each request against these rules in under 5ms.
The failover logic deserves special attention. Traditional circuit breakers use fixed thresholds—if error rate exceeds 50%, trip the circuit. Our approach is adaptive. We maintain a rolling quality score for each endpoint based on latency, error rate, and response coherence. Failover triggers are dynamic, not static.
Observability is built into every layer. Every request through the gateway generates a trace that includes: model selection rationale, latency breakdown by stage, token counts, cost, and a coherence score. Clients access this data through a real-time dashboard.
The BYOL architecture is not just a feature—it is a statement about how AI infrastructure should work. The model is a commodity. The intelligence is in the orchestration.
The model is a commodity. The intelligence is in the orchestration.
Technical Specs
- Gateway proxy: <5ms overhead
- Failover: 50ms switchover
- Supported: OpenAI, Anthropic, Llama
- Cost routing: Rule-based, <5ms eval
Executive Summary
- Model = commodity
- Orchestration = value
- Full observability per request
Data Sources & LLM Models Cited
- [1] OpenAI Chat Completions API v1
- [2] Anthropic Messages API
- [3] Meta Llama 3.1 Self-Hosting Guide
- [4] Orbit Shift BYOL Gateway Source (Internal)
- [5] Prometheus + Grafana Observability Stack