In Keywords AI, you can log outputs of embedding models. This is useful for a variety of use cases, such as semantic search, clustering, and more. You can use the same API endpoint to log embedding models. 
https://api.keywordsai.co/api/request-logs/create/
Here is an example of how to log an embedding model. 
import requests

url = "https://api.keywordsai.co/api/request-logs/create/"
headers = {
    "Authorization": "Bearer YOUR_KEYWORDS_AI_API_KEY",
    "Content-Type": "application/json"
}
payload = {
    "latency": 0.323887338,
    "embedding": [
        -0.006929283495992422,
        -0.005336422007530928,
        -4.547132266452536e-05,
        -0.024047505110502243
    ],
    "log_type": "embedding",
    "model": "text-embedding-3-small",
    "input": "something to embed"
}
response = requests.request("POST", url, headers=headers, json=payload)