The fastest LLM gateway in the world

Madhu Shantan

LLM Cost Optimization in Bifrost: Part 1

LLM Cost Optimization in Bifrost: Part 1

Introduction AI costs at enterprises can become expensive quickly. Recent examples show this clearly - Uber reportedly exhausted its annual AI budget only four months into 2026, while Pylon’s CEO said the company’s Anthropic bill was set to jump from $400K to $1.4M a year after crossing 150

Guardrails at the Gateway: What Bifrost Ships and What It Integrates

Guardrails at the Gateway: What Bifrost Ships and What It Integrates

Introduction Every team running LLMs in production runs into the same surface area sooner or later. Prompt injection. PII leaking into a model provider's training pipeline. Credentials pasted into a chat by accident. Toxic or off-policy responses going back to a user. Hallucinated content quoted as fact.

Beyond latency-based routing: Adaptive load balancing in Bifrost

Beyond latency-based routing: Adaptive load balancing in Bifrost

Most teams running multi-provider LLM stacks have moved past pure round-robin for traffic distribution across providers and API keys. They've adopted latency-based routing: measure response times, penalise slow backends, shift traffic toward the fast ones. The approach is reasonable, but it has a failure mode