AI Gateway

TL;DR * Cursor supports OpenAI-compatible APIs, so any AI gateway that exposes an OpenAI-compatible endpoint can front Cursor's model access with one base URL change. * Bifrost is the top AI gateway for Cursor, giving one endpoint for 1,000+ models, per-user virtual keys for budgets

TL;DR * Kong is an API gateway with an LLM plugin layer, but teams running production AI workloads often need per-model cost attribution and request-level tracing that a general-purpose API gateway was not built to provide. * Bifrost is the top Kong alternative for LLM cost and observability,

TL;DR: AI guardrails are real-time checks that inspect prompts and responses and block, redact, or flag content that violates safety or security policy, defending against the OWASP LLM risks: prompt injection, sensitive-data disclosure, and unsafe output.This ranking compares five platforms. Bifrost leads because it enforces content

TL;DR: LLM API costs scale linearly with request volume. Applications with repeated or semantically similar queries pay for inference on every call, even when responses would be effectively identical. Semantic caching at the gateway intercepts requests before they reach a provider and returns a cached response for queries close

TL;DR: Every LLM provider caps requests and tokens per minute (RPM and TPM). Crossing a cap returns a 429 error that halts the request, and in production these become a top source of failed requests and stalled agent runs.Managing LLM traffic means handling two things at once: provider

TL;DR * The best LLM gateway for cost control enforces spend limits before a request reaches a provider, not after the invoice arrives, using per-key budgets, token and request rate limits, and usage alerts. * Bifrost enforces hierarchical budgets across customers, teams, virtual keys, and provider configs, so a runaway