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

bash
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

bash
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:

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);  // dimension

Response shape

json
{ "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.