Use feedback tracking for:
You can then use this to filter llm calls and fine-tune your own models based on the data.
Feedback tracking can be done in the backend or directly on the frontend if it’s easier for you.
You can also use the feedback method to track user reactions to your chatbot’s responses directly on the frontend.
The trackFeedback
method takes two arguments:
runId
: the ID of the message or run you want to track the feedback on.feedback
: an object containing the feedback data. You can use any key/value pair you want.You can send any feedback data you want, as long as it’s a valid JSON object.
We recommend using the following keys to ensure that data is displayed correctly in the dashboard.
Key | Value | Preview |
---|---|---|
thumb | up or down | 👍 / 👎 |
comment | arbitrary string | eg. “This is not correct.” |
To remove feedback, simply pass null
as the feedback data.
Use feedback tracking for:
You can then use this to filter llm calls and fine-tune your own models based on the data.
Feedback tracking can be done in the backend or directly on the frontend if it’s easier for you.
You can also use the feedback method to track user reactions to your chatbot’s responses directly on the frontend.
The trackFeedback
method takes two arguments:
runId
: the ID of the message or run you want to track the feedback on.feedback
: an object containing the feedback data. You can use any key/value pair you want.You can send any feedback data you want, as long as it’s a valid JSON object.
We recommend using the following keys to ensure that data is displayed correctly in the dashboard.
Key | Value | Preview |
---|---|---|
thumb | up or down | 👍 / 👎 |
comment | arbitrary string | eg. “This is not correct.” |
To remove feedback, simply pass null
as the feedback data.