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Model Provider Support

面向团队支持问答,依据登记的官方文档核对 Claude、GPT/OpenAI、Gemini 在 Bedrock、Vertex AI、Azure、OpenAI 与 Gemini API 上的可用性;要求区分模型方与托管方文档,无法核实的能力标注 unknown_needs_live_check,并提供 Node 脚本校验来源登记。

derekhsu529
derekhsu529
热度 16.00
最近更新 2026-06-19 23:28:47
分类:知识依赖:内部调用大模型 / 读写文件 / 代码执行应用场景:研究 / 概念解释

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add model-provider-support
Metadata
name
model-provider-support
description
Answer official-doc-grounded support questions about Claude, OpenAI/GPT, and Gemini model availability across Bedrock, Vertex AI, Azure, OpenAI, and Gemini API.

Model Provider Support

Use when answering team questions about Claude, GPT/OpenAI, or Gemini API/model support across cloud-hosted providers.

Rules

  • Treat each provider-hosted model as its own product surface.
  • Do not infer cloud provider support from first-party model docs, or first-party support from cloud provider docs.
  • Cite official provider documentation for the exact surface being discussed.
  • If docs conflict or are stale, say so and prefer the hosting provider's current docs for hosted availability.
  • Mark unverified capabilities as unknown_needs_live_check; do not guess.

Workflow

  1. Identify model family, hosting provider, region, API surface, and capability.
  2. Load references/source-registry.json and the relevant provider notes.
  3. Check references/capability-taxonomy.md for status labels.
  4. Apply references/provider-differences.md before answering.
  5. If live docs cannot be reached, cite registry URL and access notes, then answer conservatively.

Validation

Run node scripts/check-sources.mjs after editing registry entries.