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Agent Gateway concept emerges to unify LLM and tool calls

The concept of an "Agent Gateway" is proposed as a distinct solution from a standard LLM proxy, focusing on enabling agents to call tools with consistent identity, auditing, and policy controls. Unlike proxies like LiteLLM that aggregate numerous providers, an Agent Gateway aims to unify model calls and tool usage under a single control plane. This approach ensures that budgets and rate limits are enforced before reaching external vendors, and it supports self-hosting for enhanced data perimeter security. TrustGate is presented as an open-source implementation of this Agent Gateway concept, built in Go by NeuralTrust. AI

IMPACT This concept could streamline agent development by unifying authentication and control for both LLM and tool interactions.

RANK_REASON The item introduces a new concept for managing AI agents and their tool usage, differentiating it from existing LLM proxies, and presents a specific open-source implementation.

Read on dev.to — MCP tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Agent Gateway concept emerges to unify LLM and tool calls

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  1. dev.to — MCP tag TIER_1 English(EN) · Victor García ·

    When you need an Agent Gateway, not just another LLM proxy

    <h1> When you need an Agent Gateway, not just another LLM proxy </h1> <p>If your problem is "one OpenAI-compatible endpoint for 50 providers," a proxy like <strong>LiteLLM</strong> is usually the right default. Huge catalog, huge community, good enough ops for most teams.</p> <p>…