Lytix supports capturing feedback directly from users, similar to 👍/👎 mechanisms.

Note: You likely want to be using the proxy integration to capture feedback. This is because you need the modelIOEventId to be able to capture feedback.

​
Make A Query

First lets make a query, following is an example using OpenAI, but the same pattern will work for any of the integrations.

Python
response = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[
        {"role": "system", "content": "You are a helpful assistant. "},
        {"role": "user", "content": [{ "type": "text", "text": "Just say hello "}]},
    ],
)

​
Capture Feedback

Now we can extract the ioEventId and send it to the feedback endpoint.

Python
import requests
import json

# Extract the IO Event ID
ioEventId = response.to_dict()['lytix-proxy-payload']['lytixEventId']


# Or if you are in the EU 🇪🇺: https://eu.api.lytix.co/v2/metrics/setUserFeedback
url = "https://api.lytix.co/v2/metrics/setUserFeedback"

payload = json.dumps({
  "modelIOEventId": ioEventId,
  "userFeedback": "POSITIVE" # OR NEGATIVE
})
headers = {
  # Add your lytix api key
  'lx-api-key': '$LYTIX_API_KEY',
  'Content-Type': 'application/json'
}

response = requests.request("POST", url, headers=headers, data=payload)

​
View Feedback

You can view feedback in the Lytix platform when viewing specific IO Events.

Or you can view all feedback as a graph under the User Feedback page.

User OverviewMetadata