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.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
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まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Chat / code generation via 9Router using OpenAI /v1/chat/completions or Anthropic /v1/messages format with streaming + auto-fallback combos. Use when the user wants to ask an LLM, generate code, summarize text, or run prompts through 9Router.
日本語の概要は準備中です。原文の説明を表示しています。
Generate vector embeddings via 9Router /v1/embeddings using OpenAI / Gemini / Mistral / Voyage / Nvidia / GitHub embedding models for RAG, semantic search, similarity. Use when the user wants embeddings, vectors, RAG, semantic search, or to embed text.
日本語の概要は準備中です。原文の説明を表示しています。
Generate images via 9Router /v1/images/generations using OpenAI / Gemini Imagen / DALL-E / FLUX / MiniMax / SDWebUI / ComfyUI / Codex models. Use when the user wants to create, generate, draw, or render an image, picture, or text-to-image (txt2img).
日本語の概要は準備中です。原文の説明を表示しています。
Speech-to-text via 9Router /v1/audio/transcriptions using OpenAI Whisper / Groq / Gemini / Deepgram / AssemblyAI / NVIDIA / HuggingFace models. Use when the user wants to transcribe audio, convert speech to text, or get subtitles from audio files.
日本語の概要は準備中です。原文の説明を表示しています。
Text-to-speech via 9Router /v1/audio/speech using OpenAI / ElevenLabs / Deepgram / Edge TTS / Google TTS / Hyperbolic / Inworld voices. Use when the user wants to convert text to speech, generate audio, voiceover, narrate, or read text aloud.
日本語の概要は準備中です。原文の説明を表示しています。
Generate videos via 9Router /v1/videos/generations using xAI Grok Imagine (grok-imagine-video). Async job flow - submit, poll request_id until done, download MP4. Use when the user wants to create, generate, or render a video, text-to-video (txt2vid), or image-to-video.
日本語の概要は準備中です。原文の説明を表示しています。