Keirouter
mydisha/keirouter
Entry point for KeiRouter — local/remote AI gateway with OpenAI-compatible REST for chat, image, TTS, embeddings, web search, web fetch.
Generates vector embeddings through the 9Router /v1/embeddings endpoint, using models from providers such as OpenAI, Gemini, Mistral and Voyage for RAG and semantic search.
Install Embeddings via 9Router
$ npx skills add decolua/9router --skill 9router-embeddings -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install decolua/9router 9router-embeddings --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/decolua/9router.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/9router-embeddings .claude/skills/9router-embeddings && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "9router-embeddings" agent skill from https://github.com/decolua/9router/tree/master/skills/9router-embeddings into .claude/skills/9router-embeddings/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "9router-embeddings", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/decolua/9router/tree/master/skills/9router-embeddingsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add decolua/9router --skill 9router-embeddings -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install decolua/9router 9router-embeddings --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/decolua/9router.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/9router-embeddings .agents/skills/9router-embeddings && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "9router-embeddings" agent skill from https://github.com/decolua/9router/tree/master/skills/9router-embeddings into .agents/skills/9router-embeddings/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "9router-embeddings", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add decolua/9router --skill 9router-embeddings -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install decolua/9router 9router-embeddings --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/decolua/9router.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/9router-embeddings .cursor/skills/9router-embeddings && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "9router-embeddings" agent skill from https://github.com/decolua/9router/tree/master/skills/9router-embeddings into .cursor/skills/9router-embeddings/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "9router-embeddings", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/decolua/9router.git --path skills/9router-embeddings--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add decolua/9router --skill 9router-embeddings -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install decolua/9router 9router-embeddings --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/decolua/9router.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/9router-embeddings .gemini/skills/9router-embeddings && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "9router-embeddings" agent skill from https://github.com/decolua/9router/tree/master/skills/9router-embeddings into .gemini/skills/9router-embeddings/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "9router-embeddings", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install decolua/9router 9router-embeddingsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add decolua/9router --skill 9router-embeddings -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/decolua/9router.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/9router-embeddings .github/skills/9router-embeddings && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "9router-embeddings" agent skill from https://github.com/decolua/9router/tree/master/skills/9router-embeddings into .github/skills/9router-embeddings/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "9router-embeddings", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add decolua/9router --skill 9router-embeddings -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install decolua/9router 9router-embeddings --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/decolua/9router.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/9router-embeddings .opencode/skills/9router-embeddings && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "9router-embeddings" agent skill from https://github.com/decolua/9router/tree/master/skills/9router-embeddings into .opencode/skills/9router-embeddings/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "9router-embeddings", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
9router-embeddings- GitHub stars
- 30k
- Token cost
- ~604 tokens
- SKILL.md length
- 95 words
- Files
- 1
- Skills in repo
- 9
- Repo updated
- First seen
- Licence
- MIT
At a glance
Generates vector embeddings through the 9Router /v1/embeddings endpoint, using models from providers such as OpenAI, Gemini, Mistral and Voyage for RAG and semantic search.
- Embedding text for RAG or semantic search through 9Router
- SKILL.md covers Discover, Endpoint, Examples and Response shape, plus 1 more section
- Calls curl and jq; needs NINEROUTER_KEY
- Listing the embedding models a 9Router instance offers
What it does
The skill needs `NINEROUTER_URL`, plus `NINEROUTER_KEY` when authentication is enabled. Embedding models are discovered at `/v1/models/embedding`, and per-model dimensions at `/v1/models/info`. The embeddings call is a POST to `/v1/embeddings` with a required `model` and `input`, which can be one string or an array, an optional `encoding_format` of `float` or `base64`, and `dimensions`, which works only on OpenAI v3 models. Examples are given in curl and JavaScript, and the response follows the OpenAI list shape with one embedding per input.
A provider table lists quirks: OpenAI, OpenRouter, Mistral, Voyage, Fireworks, Together, Nebius, GitHub, NVIDIA and Jina use the native OpenAI shape, Gemini requests are converted on the server to its embed calls, and OpenAI-compatible or custom providers take a base URL from stored credentials. Sending an array in one request is faster, though some providers cap the batch size.
When your agent uses it
- Embedding text for RAG or semantic search through 9Router
- Listing the embedding models a 9Router instance offers
- Checking an embedding model's dimensions before building an index
- Batching many strings into one embeddings request
Example prompts
- “List the embedding models on my 9Router and show the dimensions of the OpenAI small model.”
- “Embed these three product descriptions with 9Router and return the vectors as JSON.”
- “Write a Node script that batches my FAQ entries into embeddings requests against 9Router.”
Requirements
- A running 9Router instance with `NINEROUTER_URL` set, and `NINEROUTER_KEY` when authentication is on
What it can do on your machine
Read from SKILL.md and the folder at commit ce4460e. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
curljq
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use curl, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
NINEROUTER_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Embeddings via 9Router loads about 604 tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 95 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from decolua/9router at commit ce4460e, republished under its MIT licence (© decolua). 95 words, ~604 tokens.
Download SKILL.mdSave it as
.claude/skills/9router-embeddings/SKILL.md (or your agent's skills folder).- name
- 9router-embeddings
- description
- 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.
9Router — Embeddings
Requires NINEROUTER_URL (and NINEROUTER_KEY if auth enabled). See https://raw.githubusercontent.com/decolua/9router/refs/heads/master/skills/9router/SKILL.md for setup.
Discover
curl $NINEROUTER_URL/v1/models/embedding | jq '.data[].id'
# Per-model dimensions
curl "$NINEROUTER_URL/v1/models/info?id=openai/text-embedding-3-small"Endpoint
POST $NINEROUTER_URL/v1/embeddings
| Field | Required | Notes |
|---|---|---|
model | yes | from /v1/models/embedding |
input | yes | string OR array of strings |
encoding_format | no | float (default) / base64 |
dimensions | no | OpenAI v3 only |
Examples
curl -X POST $NINEROUTER_URL/v1/embeddings \
-H "Authorization: Bearer $NINEROUTER_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"openai/text-embedding-3-small","input":["hello","world"]}'JS:
const r = await fetch(`${process.env.NINEROUTER_URL}/v1/embeddings`, {
method: "POST",
headers: { "Authorization": `Bearer ${process.env.NINEROUTER_KEY}`, "Content-Type": "application/json" },
body: JSON.stringify({ model: "gemini/text-embedding-004", input: "RAG chunk text" }),
});
const { data } = await r.json();
console.log(data[0].embedding.length); // dimensionResponse shape
{ "object": "list", "model": "openai/text-embedding-3-small",
"data": [
{ "object": "embedding", "index": 0, "embedding": [0.0123, -0.045, ...] },
{ "object": "embedding", "index": 1, "embedding": [...] }
],
"usage": { "prompt_tokens": 5, "total_tokens": 5 } }Provider quirks
| Provider | Notes |
|---|---|
openai, openrouter, mistral, voyage-ai, fireworks, together, nebius, github, nvidia, jina-ai | Native OpenAI shape — dimensions works only on OpenAI v3 (text-embedding-3-*) |
gemini, google_ai_studio | Server auto-converts to embedContent/batchEmbedContents — send OpenAI shape |
openai-compatible-*, custom-embedding-* | Custom baseUrl from credentials |
Batch (input as array) is faster; some providers cap batch size.
© decolua, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/9router-embeddings of decolua/9router.
Open the folder on GitHubat commit ce4460e
Compare with similar skills
Embeddings via 9Router next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Embeddings via 9Router this skilldecolua/9router | 30k | — | ~604 | Automated safety check: Pass | MIT | |
| Keiroutermydisha/keirouter | 147 | — | ~995 | Automated safety check: Pass | MIT | |
| Using Ccproxy APIstarbaser/ccproxy | 350 | — | ~4k | Automated safety check: Pass | Custom licence | |
| Using Ccproxy Inspectorstarbaser/ccproxy | 350 | — | ~2.7k | Automated safety check: Pass | Custom licence | |
| Provider Integrationhex/claude-council | 851 | — | ~635 | Automated safety check: Pass | MIT | |
| Keirouter Embeddingsmydisha/keirouter | 147 | — | ~577 | Automated safety check: Pass | MIT |
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Operates the ccproxy inspector MITM system for intercepting, inspecting, and transforming LLM API traffic.
Provider Integration
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Adds new AI providers to claude-council, configures provider API settings, troubleshoots provider connections, and documents the provider script interface.
Keirouter Embeddings
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Generate vector embeddings via KeiRouter /v1/embeddings using OpenAI / Gemini / Mistral / Voyage / Nvidia embedding models for RAG, semantic search, similarity.
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Sets up access to the 9Router AI gateway, an OpenAI-compatible REST endpoint for chat, images, speech, embeddings, web search and web fetch, and indexes its capability skills.
9Router Chat Completions
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Sends chat and code-generation requests through a 9Router gateway using OpenAI or Anthropic message formats, with streaming and auto-fallback combos.
9Router Image Generation
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Generates images through a 9Router gateway's image endpoint, with model discovery, the request fields and per-provider quirks for OpenAI, Gemini, MiniMax and others.
9Router Speech-to-Text
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Transcribes audio files into text or subtitles through 9Router's Whisper-compatible endpoint, using models from OpenAI, Groq, Gemini, Deepgram and others.
9Router Text to Speech
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Turns text into spoken audio through a 9Router server, choosing among voices from OpenAI, ElevenLabs, Deepgram, Edge TTS and other providers.
9Router Video Generation
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Submits text-to-video or image-to-video jobs to xAI Grok Imagine through 9Router, then polls the job and downloads the finished MP4.
Related
Categories
Questions about Embeddings via 9Router
What does Embeddings via 9Router do?
Generates vector embeddings through the 9Router /v1/embeddings endpoint, using models from providers such as OpenAI, Gemini, Mistral and Voyage for RAG and semantic search. The skill needs `NINEROUTER_URL`, plus `NINEROUTER_KEY` when authentication is enabled. Embedding models are discovered at `/v1/models/embedding`, and per-model dimensions at `/v1/models/info`.
When should I use Embeddings via 9Router?
Embeddings via 9Router fits situations like: embedding text for RAG or semantic search through 9Router; listing the embedding models a 9Router instance offers; checking an embedding model's dimensions before building an index; batching many strings into one embeddings request.
How do I install Embeddings via 9Router in Claude Code?
Run `npx skills add decolua/9router --skill 9router-embeddings -a claude-code`. Or copy the skill folder (skills/9router-embeddings in decolua/9router) into .claude/skills/9router-embeddings in your project. Claude Code loads it when a task matches its description.
How do I install Embeddings via 9Router in Codex?
Run `npx skills add decolua/9router --skill 9router-embeddings -a codex`. Or copy the skill folder (skills/9router-embeddings in decolua/9router) into .agents/skills/9router-embeddings in your project. Codex loads it when a task matches its description.
Can I use Embeddings via 9Router in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add decolua/9router --skill 9router-embeddings -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/9router-embeddings, .gemini/skills/9router-embeddings, .github/skills/9router-embeddings and .opencode/skills/9router-embeddings in your project.
What does Embeddings via 9Router need to run?
Going by SKILL.md and its folder, Embeddings via 9Router needs the command-line tools its instructions call (curl and jq) and credentials named NINEROUTER_KEY. Our summary lists: A running 9Router instance with `NINEROUTER_URL` set, and `NINEROUTER_KEY` when authentication is on.
Does Embeddings via 9Router access the network?
SKILL.md contains no URLs. Its commands use curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Embeddings via 9Router safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Embeddings via 9Router use?
Embeddings via 9Router is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Embeddings via 9Router use?
About 604 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Embeddings via 9Router?
Skills that share tags, products or a category with Embeddings via 9Router: Keirouter (mydisha/keirouter, 147 stars), Using Ccproxy API (starbaser/ccproxy, 350 stars), Using Ccproxy Inspector (starbaser/ccproxy, 350 stars) and Provider Integration (hex/claude-council, 851 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Embeddings via 9Router?
decolua (a GitHub user) maintains it in decolua/9router, which has 30,491 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on October 8, 2026.
Source: decolua/9router on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.