You can capture this feedback on a request or conversation level and analyze it by adding meta data to the relevant request.
Adding Feedback to Requests
1. Find the `trace-id`
The AI Gateway adds trace ids to all incoming requests. You can find this in the x-portkey-trace-id response header.
To use your own trace IDs, send them as part of the request headers - Adding a trace ID to your requests
2. Add feedback
You can append feedback to a request through the SDKs or the REST API.
The Payload takes the following keys: trace_id, value, weight, metadata
Examples
A simple & effective feedback from the user is a thumbs up or thumbs down. Just set value to 1 for 👍 and -1 for 👎. Weight would be default 1.0.
Other Ideas for collecting feedback
- Business metrics make for great feedback. If you’re generating an email, the email being sent out could be a positive feedback metric. The level of editing could indicate the value.
- When a user retries a generation, store the negative feedback since something probably went wrong. Use a lower weight for this feedback since it could be circumstantial.
Feedback Analytics
You can see the Feedback Count and Value: Weight pairs for each trace-id on the logs page. You can also view the feedback details on Analytics and on the Prompt Eval tabs. Last modified on September 28, 2026