AI Gateway

TL;DR * An OpenAI outage takes down every application that calls OpenAI directly, at the same moment, because a direct integration has no second path for the request. * Retrying the same provider does not resolve a provider-wide outage, since every retry targets the same failing endpoint. * Bifrost retries transient

TL;DR * The Bifrost AI gateway is OpenAI-compatible, so any n8n LLM node that accepts a custom Base URL can route through it in a single credential change. * A single Bifrost virtual key becomes the per-workflow credential in n8n, carrying budget caps, rate limits, and provider allow-lists

A guide to AI gateway observability, covering the telemetry captured per request and how to export it to Prometheus, OpenTelemetry or Datadog.

TL;DR * Semantic caching for LLMs serves a stored response when a new request's embedding falls within a similarity threshold of a cached one, so paraphrased repeats skip the model call. * Bifrost runs an exact hash lookup first and a semantic lookup only on a miss, so identical

A guide to using OpenTelemetry for LLM observability, covering spans, GenAI semantic conventions and exporting to Grafana or Datadog.

TL;DR * Time to first token (TTFT) is the delay between sending a request and receiving the first generated token. It is the latency number users actually feel, not average generation speed or tokens per second. * TTFT is dominated by three things: queue wait before a request starts processing, network