AI Observability Sessions, Traces, and Spans in LLM Systems
Sessions, traces, and spans let you see exactly where LLM systems actually fail.
Søren Achebe
Section
7 stories in LLM Gateway Architecture.
Sessions, traces, and spans let you see exactly where LLM systems actually fail.
One API consolidates dozens of LLM providers into a unified control layer.
Gateway-layer observability reveals cross-provider costs and failures before they happen, not after.
A gateway layer handles rate limits the tier structure won't, through queuing and smart routing.
Proxies move traffic; gateways enforce who gets to send it and under what rules.
AI-assisted code leaks credentials twice as fast as human-written code.
A reverse proxy that unifies multiple LLM providers, credentials, and spend tracking in one place.