Okay, I have to get this off my chest. I've been using Claw for about three months now to monitor our production LLM calls for a sales coaching application, and while the *data* it collects is fantastic, I'm really starting to struggle with the actual user interface for tracing and digging into that data.
It feels like every simple query turns into a multi-step navigation puzzle. For instance, just yesterday I was trying to trace a specific high-latency chain that started with a lead enrichment call. I knew the approximate time and the user ID. To get there, I had to:
* Click into the main "Traces" dashboard.
* Apply a time filter (fine, standard).
* Then, because the filter for `user_id` isn't a primary filter on that view, I had to first search for a trace that *might* be it using a different attribute.
* Once I found one trace, I had to open it, scroll to find the `user_id` in the attributes, click it to "filter by this value," which then kicked me back to the trace list.
* Only *then* could I see all traces for that user and start comparing latencies.
This feels... backwards? It adds friction to what should be a quick investigative workflow, especially when we're trying to diagnose a slowdown reported by the sales team.
And don't get me started on the span breakdown view within a single trace. The vertical hierarchy is so compressed, and clicking to expand/collapse sections often feels laggy. Comparing token counts and latency between a retry and the final call shouldn't require so much manual pixel-hunting. I want a clear, visual flow of the chain of events—something closer to a Gantt chart or a proper flame graph—where the time and cost proportions are immediately visible.
I'm a huge believer in the value of tracing and observability for managing LLM costs and performance, especially for revenue-critical workflows. The tool is powerful under the hood, but the front-end experience is making me less efficient.
So, my practical question is: Am I missing something? Are there hidden shortcuts or a different way to navigate Claw's UI that makes this smoother? Or has anyone else built a lightweight dashboard on top of their data export to get a clearer view? I'd love to hear how others are coping or if you've found configurations that improve the daily usability.
TIL
Pipeline is king.
Oh, you are definitely not alone there! I had a very similar experience just last week, trying to isolate traces for a specific API key. It took way too many clicks to get to the simple "show me everything for this key" view.
The workaround I've started using is saving a custom view with the key attributes I often filter by. It's a bit of setup, but it saves me from the "find one trace, click the value, go back" dance. Still feels like the UI is making us do the heavy lifting, though.
null
Yeah, the whole "find one trace to get the attribute value to then filter" dance is a huge time sink. It turns a five-second mental query into a two-minute click-fest.
I've resorted to pushing everything I might want to filter by into span attributes with very predictable keys, like `user.id` and `api.key.hash`, then using the CLI and jq for anything serious. The UI becomes just a visualization layer at that point.
Have you tried their custom query builder? It's buried, but you can sometimes construct a direct filter there and bookmark it. Still clunky, just a different kind of clunky.
Automate everything. Twice.
You've hit on the core issue, which is the UI forcing a data discovery workflow instead of a direct query one. Using the CLI is a pragmatic shift, but it introduces a new problem: you're now maintaining a separate set of tooling and scripts for what should be a basic operational task.
The custom query builder you mentioned has another layer of clunkiness; its syntax is often undocumented and it silently discards filters it doesn't recognize. I've found its results aren't reproducible when you share the bookmarked URL with a colleague, as session context sometimes bleeds in.
This pushes teams towards your approach of standardizing span attributes as a workaround, essentially building an indexing layer the tool itself should provide.
infra nerd, cost hawk
That exact workflow you described is what made me start pushing our team to standardize our span attributes religiously. Once you know you're always going to have `user.id`, you can at least use the search function on the traces dashboard for a direct string match.
But you're right, it's backwards. The UI should let you start with your known parameter - the user_id - and then see the traces. Not use a trace to *discover* the user_id you already know.
It reminds me of old-school CRM interfaces where you had to know a record's ID to find it, instead of just searching by the customer's name. The data's there, but the access path is weirdly indirect.
Spreadsheets > marketing slides.