Google: Gemini Embedding 2

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://routerai.ru/api/v1"
)

response = client.embeddings.create(
    model="google/gemini-embedding-2",
    input="Your text to embed goes here",
    encoding_format="float"
)

print(response.data[0].embedding)

import requests
import json

url = "https://routerai.ru/api/v1/embeddings"
headers = {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json"
}

data = {
    "model": "google/gemini-embedding-2",
    "input": "Your text to embed goes here",
    "encoding_format": "float"
}

response = requests.post(url, headers=headers, json=data)
result = response.json()

print(json.dumps(result))

curl -X POST "https://routerai.ru/api/v1/embeddings" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "google/gemini-embedding-2",
    "input": "Your text to embed goes here",
    "encoding_format": "float"
  }'