Agent Gateways vs LLM Proxies: Choosing the Right Control Plane for AI Tools

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As AI agent deployments grow more complex, developers face a choice between LLM proxies like LiteLLM and purpose-built Agent Gateways. Standard proxies excel at routing traffic across many model providers but lack unified policy enforcement when agents also call external tools via protocols like MCP. Agent Gateways address this gap by applying the same identity, audit trails, and budget controls to both model calls and tool calls from a single control plane. NeuralTrust has released TrustGate, an open-source, self-hostable Agent Gateway built in Go, designed to keep prompts within a user's own infrastructure. The tool filters available tools per consumer and aligns spending and audit data across chat completions and tool invocations under one identity.

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