Qwen3 Embedding API in Europe

# your API key, from API Keys
export AXFORGE_API_KEY="YOUR_KEY"

curl https://api.axforge.ai/v1/embeddings \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"qwen3-embed","input":["Zero-retention embeddings, computed in Stockholm."]}'

# your API key, from API Keys
$env:AXFORGE_API_KEY = "YOUR_KEY"

$call = @{
  Method      = "Post"
  Uri         = "https://api.axforge.ai/v1/embeddings"
  Headers     = @{ Authorization = "Bearer $env:AXFORGE_API_KEY" }
  ContentType = "application/json"
  Body        = '{"model":"qwen3-embed","input":["Zero-retention embeddings, computed in Stockholm."]}'
}
(Invoke-RestMethod @call).data[0].embedding.Count

REM your API key, from API Keys
set AXFORGE_API_KEY=YOUR_KEY

curl.exe https://api.axforge.ai/v1/embeddings ^
  -H "Authorization: Bearer %AXFORGE_API_KEY%" ^
  -H "Content-Type: application/json" ^
  -d "{\"model\":\"qwen3-embed\",\"input\":[\"Zero-retention embeddings, computed in Stockholm.\"]}"

# pip install openai · the key is read from AXFORGE_API_KEY
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=["first chunk", "second chunk"],
)
print(len(r.data[0].embedding))  # 1024

// npm i openai · save as call.mjs, run: node call.mjs
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: ["first chunk", "second chunk"],
});
console.log(r.data[0].embedding.length);  // 1024