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Get started with LangWatch Skills in seconds: Set up evals, scenario tests, and tracing just by asking your AI coding assistant.
Track thumbs up/down user feedback in LangWatch to evaluate LLM quality and guide AI agent testing improvements.
trace_id defined on your side when doing the integration. Read more about it on concepts.
POST /api/track_event
X-Auth-Token: Your LangWatch API key.{
"trace_id": "id of the message the user gave the feedback on",
"event_type": "thumbs_up_down",
"metrics": {
"vote": 1 // Use 1 for thumbs up, 0 for neutral or undo feedback, and -1 for thumbs down
},
"event_details": {
"feedback": "Optional user feedback text"
},
"timestamp": 1617981376000 // Unix timestamp in milliseconds
}
curl -X POST "https://app.langwatch.ai/api/track_event" \\
-H "X-Auth-Token: your_api_key" \\
-H "Content-Type: application/json" \\
-d '{
"trace_id": "trace_Yy0XWu6BOwwnrkLtQh9Ji",
"event_type": "thumbs_up_down",
"metrics": {
"vote": 1
},
"event_details": {
"feedback": "This response was helpful!"
},
"timestamp": 1617981376000
}'
vote metric is mandatory and must be either 1 or -1. The feedback field in event_details is optional and can be used to provide additional context or comments from the user.Was this page helpful?