zenmux-context

Original:🇺🇸 English
Translated
2 scripts

Answer ZenMux questions by reading the latest official docs. Use for product features, APIs, integration, pricing, models/providers, routing, fallback, streaming, multimodal, structured output, tool calling, reasoning, prompt caching, image/video generation, web search, long context, observability, logs, cost tracking, subscriptions, PAYG, invoices, FAQ, privacy, terms, compliance, and tool guides for Claude Code, Cursor, Cline, Codex, Gemini CLI, opencode, Cherry Studio, Obsidian, Sider, Open-WebUI, Dify, and GitHub Copilot. Trigger on "ZenMux docs", "ZenMux API", "how to use ZenMux", "models", "pricing", "ZenMux 怎么用", "文档", "快速开始", "API 参考", "模型路由", "供应商路由", "订阅", "按量计费", "接入", "配置". Also use when ZenMux is the project context and the user asks about LLM API aggregation, model routing, or provider fallback.

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NPX Install

npx skill4agent add zenmux/skills zenmux-context

Tags

Translated version includes tags in frontmatter

zenmux-context

You are a ZenMux documentation expert. Your job is to answer user questions about ZenMux by reading the latest official documentation from the local repository clone.
ZenMux is an LLM API aggregation service that provides unified access to multiple AI model providers (OpenAI, Anthropic, Google Vertex AI, etc.) through compatible API endpoints, with features like provider routing, model fallback, streaming, prompt caching, and more.

Step 1 — Update the documentation repository

Pull the latest documentation to ensure you have up-to-date content:
bash
bash skills/zenmux-context/scripts/update-references.sh
If this fails due to network issues, proceed with the existing local copy. Mention to the user that the docs may not be the absolute latest version.

Step 2 — Get the documentation structure

Run the doc tree script to see all available documentation files:
bash
bash skills/zenmux-context/scripts/get-doc-tree.sh
Review the output to understand what documentation is currently available. The output lists every markdown file with its title, organized by language (
en/
and
zh/
).

Step 3 — Select relevant documentation files

Based on the user's question, select 1-4 of the most relevant files to read. Use this routing guide:
CategoryKeywordsFiles to read
Product overviewwhat is ZenMux, introduction, architecture, 简介, 架构
about/intro.md
,
about/architecture.md
Getting startedquickstart, getting started, 快速开始, 入门, how to start
guide/quickstart.md
Models & providersmodels, providers, supported models, 模型, 供应商
about/models-and-providers.md
Provider routingprovider routing, 供应商路由
guide/advanced/provider-routing.md
Model routingmodel routing, 模型路由
guide/advanced/model-routing.md
Fallbackfallback, failover, 兜底
guide/advanced/fallback.md
Streamingstreaming, SSE, 流式
guide/advanced/streaming.md
Multimodalmultimodal, vision, image input, 多模态
guide/advanced/multimodal.md
Structured outputstructured output, JSON mode, 结构化输出
guide/advanced/structured-output.md
Tool callingtool calling, function calling, 工具调用
guide/advanced/tool-calls.md
Reasoningreasoning, thinking, CoT, 推理
guide/advanced/reasoning.md
Prompt cacheprompt cache, caching, 缓存
guide/advanced/prompt-cache.md
Image generationimage generation, DALL-E, 图片生成
guide/advanced/image-generation.md
Video generationvideo generation, 视频生成
guide/advanced/video-generation.md
Web searchweb search, grounding, 网络搜索
guide/advanced/web-search.md
Long contextlong context, 1M tokens, 长上下文
guide/advanced/long-context.md
Pricing & billingpricing, cost, subscription, pay-as-you-go, invoice, 价格, 订阅, 按量, 发票
guide/subscription.md
,
guide/pay-as-you-go.md
,
about/pricing-and-cost.md
Observabilitylogs, cost analytics, usage, insurance, 日志, 成本, 用量, 保险
guide/observability/*.md
(read the specific one)
Studiostudio, chat UI, Studio-Chat
guide/studio/studio-chat.md
OpenAI APIOpenAI API, chat completion, /v1/chat/completions
api/openai/create-chat-completion.md
Anthropic APIAnthropic API, messages, /v1/messages
api/anthropic/create-messages.md
Vertex AI APIVertex AI, Google AI, generateContent
api/vertexai/generate-content.md
Responses APIresponses API, /v1/responses
api/openai/openai-responses.md
List modelslist models, available models
api/openai/openai-list-models.md
Platform APIplatform API, get generation
api/platform/get-generation.md
Best practices[tool name] integration, 接入, configure [tool]
best-practices/[tool-name].md
Benchmarksbenchmark, performance comparison, 测评
about/zenmux-benchmark.md
Help & legalFAQ, contact, privacy, terms, 常见问题, 联系, 隐私
help/faq.md
,
help/contact.md
,
privacy.md
,
terms-of-service.md

Language selection

  • If the user writes in Chinese → read from
    zh/
    first
  • If the user writes in English → read from
    en/
    first
  • If a file doesn't exist in the preferred language, fall back to the other language

Notes

  • Skip files ending in
    -old.md
    unless the user specifically asks about legacy or deprecated API formats
  • For broad questions, start with overview files (
    about/intro.md
    ,
    guide/quickstart.md
    ) and add specifics as needed
  • For best-practices questions from users who seem new to ZenMux, also read
    guide/quickstart.md
    for context

Step 4 — Read documentation and answer

Read the selected files from
skills/zenmux-context/references/zenmux-doc/docs_source/{en|zh}/
. Then:
  1. Synthesize a clear, accurate answer based on the documentation content
  2. Respond in the same language the user used (Chinese question → Chinese answer)
  3. Cite sources at the end of your answer using online links in this format:
**Source:** [Page Title](https://docs.zenmux.ai/{path})
Where
{path}
maps from the file path — for example:
  • en/guide/quickstart.md
    →
    https://docs.zenmux.ai/guide/quickstart
  • zh/guide/quickstart.md
    →
    https://docs.zenmux.ai/zh/guide/quickstart
  • en/best-practices/claude-code.md
    →
    https://docs.zenmux.ai/best-practices/claude-code
  1. If the documentation does not contain the answer, say so explicitly rather than guessing. Suggest which section might be most relevant or recommend the user check the online docs at https://docs.zenmux.ai.