AI Gateway

LLM gateway security covers prompt injection defense, PII protection, and audit compliance. Learn how to enforce safety and governance at the gateway layer. LLM gateway security is the set of runtime controls that validate prompts, responses, and access decisions for every model call passing through an AI gateway. As generative

An LLM gateway is a unified API layer that routes, governs, and observes requests across LLM providers. Architecture, features, and use cases explained. An LLM gateway is the central control layer between an application and the large language model providers it depends on. As AI workloads have moved from prototypes

Handle 429 errors in production LLM applications with exponential backoff, provider fallbacks, and gateway-level pooling using Bifrost AI gateway. 429 errors in LLM applications are the single most common production incident teams hit once traffic grows beyond a prototype. Every major provider, including OpenAI, Anthropic, Google, and AWS Bedrock,

Compare OpenRouter vs LiteLLM vs Bifrost on performance, governance, MCP support, and deployment. Find the right AI gateway for production workloads. Teams running production AI workloads almost always end up evaluating an AI gateway. A direct integration with one provider works for a prototype, but it breaks down the moment

Run Cursor with Claude, Ollama, and 20+ providers through a self-hosted AI gateway. Configure custom models, virtual keys, and unified routing with Bifrost. Engineering teams adopting Cursor as their primary AI IDE quickly hit the limits of its default model picker. Cost overruns from agent-mode runs, model lock-

TL;DR: Semantic caching lets AI gateways recognize when incoming prompts mean the same thing as previous ones, even when worded differently, and return cached responses instead of making a new LLM API call. This cuts token spend and latency significantly. This article covers five AI gateways that support semantic