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Token costs are the silent budget killer for AI applications in production. Every LLM API call burns through tokens for input context, tool definitions, repeated queries, and suboptimal routing, and the bill compounds fast as you scale. Most teams discover this only after their monthly invoice arrives from OpenAI, Anthropic,

This post covers five AI gateways that offer semantic caching as a core capability, with a focus on how each implements it and what teams should consider when choosing one- 1)Bifrost 2)LiteLLM 3)Kong 4)NVIDIA 5)AWS API costs are one of the fastest-growing line items

LiteLLM earned its place as the go-to open-source proxy for teams unifying access across multiple LLM providers. Its Python-based SDK translates API schemas from OpenAI, Anthropic, AWS Bedrock, and others into a standardized OpenAI-compatible format, making it a solid starting point for prototyping. But as AI

LiteLLM served the early wave of multi-provider LLM development well. It simplified API fragmentation, made model switching easier, and gave teams a quick way to prototype across providers. But as AI applications move from experiments to production systems handling real user traffic, the gateway layer becomes critical infrastructure. And

Enterprise AI teams rarely rely on a single model. Production applications typically orchestrate across OpenAI for general tasks, Anthropic for nuanced reasoning, AWS Bedrock for compliance-sensitive workloads, and open-weight models via Groq or Ollama for cost optimization. Managing these providers directly means dealing with fragmented APIs, inconsistent authentication,

Claude Code has quickly become the go-to terminal-based AI coding agent for engineering teams. It handles file operations, terminal commands, and code editing through Anthropic's tool-calling interface directly from the command line. But in enterprise environments, relying on a single provider creates risk. Rate limits,

Claude Code is one of the most capable AI-powered coding agents available today, bringing advanced code generation, file editing, and terminal operations directly into your workflow. By default, it works exclusively with Anthropic's Claude models. But what if you want to route your Claude Code sessions through