Embeddings

curl https://api.axforge.ai/v1/embeddings \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "qwen3-embed", "input": "The invoice is due on Friday"}'

$body = @{ model = 'qwen3-embed'; input = 'The invoice is due on Friday' } | ConvertTo-Json
$r = Invoke-RestMethod https://api.axforge.ai/v1/embeddings -Method Post `
    -Headers @{ Authorization = "Bearer $env:AXFORGE_API_KEY" } `
    -ContentType 'application/json' -Body $body
$r.data[0].embedding.Count     # 1024

curl -s https://api.axforge.ai/v1/embeddings -H "Authorization: Bearer %AXFORGE_API_KEY%" -H "Content-Type: application/json" -d "{\"model\":\"qwen3-embed\",\"input\":\"The invoice is due on Friday\"}"

{
  "object": "list",
  "model": "qwen3-embed",
  "data": [{
    "object": "embedding",
    "index": 0,
    "embedding": [0.0132, -0.0417, ...]   // 1024 floats
  }],
  "usage": {"prompt_tokens": 7, "total_tokens": 7}
}

import os
from openai import OpenAI

client = OpenAI(base_url="https://api.axforge.ai/v1", api_key=os.environ["AXFORGE_API_KEY"])
r = client.embeddings.create(
    model="qwen3-embed",
    input=[
        "The invoice is due on Friday",
        "Payment terms are net 30",
        "The meeting moved to Tuesday",
    ],
)
for item in r.data:
    print(item.index, len(item.embedding))   # 0 1024 · 1 1024 · 2 1024

import OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.axforge.ai/v1", apiKey: process.env.AXFORGE_API_KEY });
const r = await client.embeddings.create({
  model: "qwen3-embed",
  input: [
    "The invoice is due on Friday",
    "Payment terms are net 30",
    "The meeting moved to Tuesday",
  ],
});
for (const item of r.data) console.log(item.index, item.embedding.length);   // 0 1024 · 1 1024 · 2 1024