Deep-dive guides on AI agents, agent orchestration, MCP, and developer tooling.
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vLLM, SGLang, and TensorRT-LLM all promise fast self-hosted inference, but they make different bets on KV cache management, structured output, and hardware lock-in. Here's what actually changes depending on your traffic pattern.
Agent latency is usually a prompt-construction problem in disguise: prefix caching, continuous batching, and tool-call structure determine how much of your context gets reprocessed on every turn.
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