Embeddings API

POST https://api.sawalni.com/v1/embeddings

from openai import OpenAI

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

response = client.embeddings.create(
    model="madmon-beta",
    input="الذكاء الاصطناعي يغير العالم"
)

embedding = response.data[0].embedding
print(f"Dimensions: {len(embedding)}")

curl https://api.sawalni.com/v1/embeddings \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "madmon-beta",
    "input": "الذكاء الاصطناعي يغير العالم"
  }'

{
  "object": "list",
  "data": [
    {
      "object": "embedding",
      "index": 0,
      "embedding": [0.0023, -0.009, 0.015, ...]
    }
  ],
  "model": "madmon-beta",
  "usage": {
    "prompt_tokens": 8,
    "total_tokens": 8
  }
}

response = client.embeddings.create(
    model="madmon-beta",
    input=[
        "أول نص",
        "ثاني نص",
        "ثالث نص"
    ]
)

for item in response.data:
    print(f"Index {item.index}: {len(item.embedding)} dimensions")