Raindrop is an AI observability platform for monitoring and evaluating LLM applications. With Raindrop, you can track conversations, analyze model performance, and debug AI workflows.
In Raindrop, navigate to your project settings:
Go to Settings > Observability and toggle Enable Broadcast.

Click the edit icon next to Raindrop and enter:
https://api.raindrop.ai. Change only if using a custom endpointClick Test Connection to verify the setup. The configuration only saves if the test passes.
Make an API request through OpenRouter and view the event in your Raindrop dashboard under Events.

Each event includes:
Raindrop receives events with custom metadata included as event properties. Use the trace field to attach additional context to your events.
Every key inside trace that is not in the table above is forwarded as-is (e.g. feature becomes the property feature).
user field maps to Raindrop’s user_id for user-level analyticssession_id field maps to convo_id for grouping conversation turnsmodel, provider, total_cost, prompt_tokens, completion_tokens, duration_ms, and finish_reasonWhen Privacy Mode is enabled for this destination, the input and output fields are excluded from events. All other event data — token usage, costs, timing, model information, and custom metadata — is still sent normally. See Privacy Mode for details.