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.
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.
Review the instructions the agent will receive before you install.
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 accountNo reviews yet. Tell others what you thought.
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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.
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.
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.
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.
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.
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.