Setting and Enforcing LLM Spend Limits Across Engineering Teams
A gateway layer lets you measure and cap LLM spending before the bill arrives.
Søren Achebe
Contributing Editor, LLM Systems
Søren Achebe
Søren holds a background in distributed systems research and spent five years as a staff engineer at a model-serving startup before transitioning to editorial work focused on the technical plumbing behind large language model deployment. His coverage emphasizes architectural trade-offs that practitioners actually face in production.
8 stories
Benchmarking LLM Provider Latency for Production Routing Decisions
Measure latency against your own traffic, not published benchmarks.
Søren Achebe
Load Balancing Across Multiple LLM Providers in Production
A gateway centralizes LLM routing, caching, and cost tracking across multiple providers.
Søren Achebe
Intelligent LLM Routing Based on Cost, Speed, and Quality
Treat cost, speed, and quality as equal routing signals, not a hierarchy where quality always wins.
Søren Achebe
AI Observability Sessions, Traces, and Spans in LLM Systems
Sessions, traces, and spans let teams debug LLM failures.
Søren Achebe
LLM Gateway Integration with Existing API Infrastructure
One unified API replaces scattered provider integrations across your services.
Søren Achebe
OpenAI Rate Limit Tiers and Gateway-Layer Management
A gateway layer handles rate limits the tier structure won't, through queuing and smart routing.
Søren Achebe
LLM Gateway Architecture for Production AI Teams
A reverse proxy that unifies multiple LLM providers, credentials, and spend tracking in one place.
Søren Achebe