Set up access to 9Router, a shared gateway for multiple AI providers, and discover available models. Find the relevant capability skills for chat, images, speech, embeddings, web search, and webpage retrieval.
中文简介正在准备中。当前显示英语简介。
Entry point for 9Router — local/remote AI gateway with OpenAI-compatible REST for chat, image, TTS, embeddings, web search, web fetch. Use when the user mentions 9Router, NINEROUTER_URL, or wants AI without writing provider boilerplate. This skill covers setup + indexes capability skills; fetch the relevant capability SKILL.md from the URLs below when needed.
安装前可以查看交给 AI 代理的指令内容。
Local/remote AI gateway exposing OpenAI-compatible REST. One key, many providers, auto-fallback.
export NINEROUTER_URL="http://localhost:20128" # or VPS / tunnel URL
export NINEROUTER_KEY="sk-..." # from Dashboard → Keys (only if requireApiKey=true)
All requests: ${NINEROUTER_URL}/v1/... with header Authorization: Bearer ${NINEROUTER_KEY} (omit if auth disabled).
Verify: curl $NINEROUTER_URL/api/health → {"ok":true}
curl $NINEROUTER_URL/v1/models # chat/LLM (default)
curl $NINEROUTER_URL/v1/models/image # image-gen
curl $NINEROUTER_URL/v1/models/tts # text-to-speech
curl $NINEROUTER_URL/v1/models/embedding # embeddings
curl $NINEROUTER_URL/v1/models/web # web search + fetch (entries have `kind` field)
curl $NINEROUTER_URL/v1/models/stt # speech-to-text
curl $NINEROUTER_URL/v1/models/image-to-text # vision
Use data[].id as model field in requests. Combos appear with owned_by:"combo".
Response shape:
{ "object": "list", "data": [
{ "id": "openai/gpt-5", "object": "model", "owned_by": "openai", "created": 1735000000 },
{ "id": "tavily/search", "object": "model", "kind": "webSearch", "owned_by": "tavily", "created": 1735000000 }
]}
When the user needs a specific capability, fetch that skill's SKILL.md from its raw URL:
NINEROUTER_KEY (Dashboard → Keys)Invalid model format → check model exists in /v1/models/<kind>All accounts unavailable → wait retry-after or add another provider account还没有评价。欢迎分享你的使用感受。
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Ask AI questions, generate code, and summarize text through 9Router using OpenAI or Anthropic request formats. Receive responses incrementally with streaming, and use provider combinations that automatically try another provider when needed.
中文简介正在准备中。当前显示英语简介。
Turn text into embeddings, numeric representations of meaning, through 9Router. Choose a model and process individual texts or batches to prepare data for meaning-based search, similarity comparisons, or RAG systems that retrieve reference material.
中文简介正在准备中。当前显示英语简介。
Generate images from written descriptions through 9Router using a choice of image models. Check each model’s supported settings, request an image, and receive a URL, encoded image data, or image bytes for saving to a file.
中文简介正在准备中。当前显示英语简介。
Transcribe audio files through 9Router using models from providers such as OpenAI, Groq, and Deepgram. Receive plain text, structured results with timestamps, or SRT and VTT subtitles, depending on the selected model’s support.
中文简介正在准备中。当前显示英语简介。
Convert written text into speech through 9Router, choosing from multiple voice providers. Check available models and voices, then generate MP3 audio for narration, voiceovers, or reading text aloud.
中文简介正在准备中。当前显示英语简介。
Create videos from text or images through 9Router using xAI Grok Imagine. Set duration, aspect ratio, and resolution, then track the generation job and download the completed video as an MP4 file.
中文简介正在准备中。当前显示英语简介。