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/apigee-agent-gateway-governance

安全與環境設定google/skillsAI翻譯

建立 Apigee API proxy,讓 Google Cloud Agent Gateway 以 ext-proc 呼叫它處理 agent 的 LLM 流量,依模型計量 token、擷取呼叫者身分,並套用 Model Armor 提示篩檢或語意快取。

安裝次數
556
專案星數
2.2 萬 ★
授權
Apache-2.0
專案更新
2026-11-02

怎麼裝

npx skills add https://github.com/google/skills --skill apigee-agent-gateway-governance

安裝前請先看過原文內容。中文說明是 AI 翻譯,不保證安全。

原文

Stands up an Apigee API proxy that a Google Cloud Agent Gateway calls as an ext-proc (Service Extension) callout on an agent's LLM traffic, to meter token usage per model, extract caller identity, and apply Model Armor prompt screening or a semantic cache. Use when wiring Apigee in as an AI gateway behind an Agent Gateway, when an agent's model egress needs governing, or when a callout proxy returns no verdict and you need to find out why. The distinguishing question is whether Apigee forwards the traffic or only inspects it: this skill is inspect-only, and builds the proxy itself. Don't use it when Apigee is meant to receive a request and route it onward to a backend — including hosting an MCP server behind Apigee — which needs a proxy with a target instead. Don't use for governing the agent's calls to tools or MCP servers. Don't use for choosing or switching which model a request goes to. Don't use for creating the Agent Gateway itself, nor for Apigee hybrid.