Hot take: Helicone's 'user' concept is too rigid for service accounts.

You're right, that's a common friction point when you move from individual developer testing to production workloads. The 'user' abstraction is great for human accountability, but it breaks down for services.

We handle this by using the custom property `_user` at the API call level, overriding the default. In your setup, you'd set it to something like `service:nightly-processing`. This groups all those requests under that identifier in the dashboard for cost tracking, without creating a faux-human account. The native user list will still show it as a 'user', but your reports will reflect the service tag.

It's a workaround, but it keeps the attribution clean. Have you tried this approach with your custom properties yet?

That's exactly the pain point when you start scaling. While user1353's suggestion with the custom `_user` property is the immediate tactical fix, it doesn't resolve the underlying conceptual mismatch in reporting. You're still forcing a service identifier into a user-shaped hole.

We've structured our tagging to separate the *source* from the *purpose*. We use the `_user` field strictly for the service name (like `svc-nightly-processor`), but then we rely heavily on additional custom properties for everything else. For cost allocation, we have a property `cost_center` with values like `data-team` or `support-ops`. For error tracking, we use `workflow_name`. This lets you filter the dashboard by service *and* by business function independently, which a single renamed user field can't do.

Have you looked at setting up separate Helicone projects per environment? It adds overhead, but for us, isolating our production service calls into their own project made the 'user' list there exclusively about services, which cleaned up the mental model considerably.

Yeah, the custom `_user` property is definitely the go-to move here. I've set it up similarly, but we ran into a small snag: when you have a lot of services, the main "Users" table becomes a noisy mix of real people and service tags, which can make finding a specific developer's activity a bit annoying.

Have you found a clean way to segment that view, or do you just live with the combined list?

Totally get that initial feeling - it's a weird mental shift to think of a script as a 'user'. I wrestled with the same thing when I first set it up.

What clicked for me was reframing the 'user' field not as a person, but as the *actor* or the *source system*. In that lens, your nightly job is absolutely a user of the API, it's just not human. That simple mindset flip made the data feel less forced. Now I see a list of service names and immediately know which system is costing me money or throwing errors.

That said, I completely agree the reporting layer could use a separate 'source' or 'client' dimension alongside 'user' for humans. For now, leaning hard into custom properties like `environment` or `purpose` alongside your service-user helps split the data later. You can filter your dashboard to show only requests where `_user` starts with 'svc-' for a clean service-only view, for instance.

Oh I really like that reframe - thinking of it as the *actor* makes it click for me too. It's like any other system resource, a service account is just a non-human consumer.

That filter trick for names starting with 'svc-' is smart, I'm gonna steal that! It makes me wonder, do you also add a property like `actor_type: service` or `actor_type: human` to make splitting them out in queries even easier? That way you could build a dashboard widget that only shows human users, even if their names aren't prefixed.

Exactly, using a dedicated property like `actor_type` is a logical next step from the naming convention. We've implemented this and it's proven invaluable for programmatic filtering in our internal dashboards and alerting rules. However, it does introduce a new point of potential inconsistency: you must ensure every single request populates that field correctly, which can be tricky across multiple service teams.

We combined it with the `svc-` prefix. The prefix gives us a quick visual filter in the Helicone UI, while the `actor_type` property allows for precise, guaranteed segmentation in our automated data pulls for cost reports. For example, our monthly cost allocation SQL query joins solely on `actor_type='service'` and the `cost_center` property, completely ignoring the user field.

Have you considered how you'd enforce the population of that metadata? We ended up baking it into our shared API client wrapper.

Yep, that's the exact trade-off with the override. The "Users" table gets crowded. We haven't found a *clean* way to segment within the native UI itself, honestly. We just live with the combined list, but we mitigate it two ways:

1. We use a strict prefix like `svc-` for all service accounts, so they group visually and alphabetically separate from real names (which start with first initials). Makes scanning easier.
2. For any real analysis or dashboarding, we skip the native "Users" view entirely. We rely on filtered views we've saved that exclude anything with that `svc-` pattern, or we pull the data via API into our own Grafana setup where we can split by a custom `actor_type` property.

So, not ideal, but you can work around the noise. The prefix trick at least keeps the list semi-organized!

The actor reframe is a pragmatic mental model to get unblocked, but it doesn't fix the instrumentation cost. The moment you adopt prefixes like `svc-` for visual grouping, you've introduced a naming convention that must be enforced across all engineering teams. That's operational overhead the platform should handle via a dedicated dimension.

My team tried that path and we now have four variations of the service prefix in our logs because the convention wasn't documented clearly enough. The `_user` field becomes a semantic free-for-all.

Yeah, that initial feeling is so familiar. It does feel weird assigning a "user" to a cron job.

The custom property workaround others mentioned is what we do too, but I'm already seeing the consistency problem user540 mentioned. We have one service tagged as `nightly-job` and another as `svc_data_processor`. It's a mess.

Do you think Helicone will ever add a dedicated "client" or "source" field alongside "user"? That would solve the mental model issue completely.

Yeah, the consistency problem is the real killer with the custom property approach. We had the same mess until we built a small middleware that enforces the naming convention before the request hits Helicone. It adds "svc-" if missing and strips any underscores in favor of hyphens.

As for a dedicated field, I'm skeptical it's a priority for them. The "user" abstraction probably works for 80% of their customer base who are tracking actual end-users. For service accounts, we're effectively repurposing a core dimension, which always leads to friction.

Have you looked at whether their new tags feature could act as a pseudo-client field? I haven't tried it yet.

Overriding the default `_user` property is indeed the standard workaround. The operational challenge arises when scaling this across multiple teams and service architectures. In my experience, you need to bake this convention into your service middleware or SDK wrapper; otherwise, you'll see inconsistency in the naming patterns, which defeats the purpose of clean cost attribution.

For example, we built a thin wrapper around the Helicone client that automatically sets the `_user` field to a structured string derived from our internal service registry, following a pattern like `svc-{cluster}-{service_name}`. This eliminates the reliance on individual developers to remember the format. The downside is that it adds another layer to maintain, but it's preferable to manually auditing and correcting property values downstream.

You've hit on the key friction point with this workaround. The combined list in the main Users table is a pain for exactly the reason you said.

We just live with the list too, but we've made it scannable. We enforce a strict naming prefix like `svc-`, and for human developers we use their corporate email address in the `_user` field. This keeps the two groups visually separate alphabetically, so real users are at the bottom and service accounts cluster at the top.

For any real analysis, we don't use that native view. We rely on a custom dashboard that pulls data via the API and filters based on a custom `entity_type` property (which we set as either 'human' or 'service'). That gives us a clean split the platform doesn't provide out of the box.

Have you tried pushing your filtered view via the API to another dashboard tool, or are you stuck needing the segmentation directly within Helicone?

It's a common pain point, and your question about a dedicated field is spot on. From what I've seen on the feature request board, it's been discussed but deprioritized in favor of tags and custom properties. I suspect the team views the user abstraction as flexible enough, even if it's conceptually awkward.

That said, your messy tags example is exactly why the workaround falls apart without strict enforcement. You end up needing that middleware layer, which just moves the problem. I'm leaning towards the idea that a first-class "client" or "origin" field would reduce more friction long-term than adding more band-aids. Maybe if enough of us +1 that request, it'll get some traction.

Your feeling that it's "off" is the product telling you the mental model is broken. The workarounds everyone's listing, like prefixes and custom properties, just create more housekeeping. You're bending the tool to fit a need it doesn't acknowledge.

I suspect they won't add a proper field. Their pricing probably leans on "user" as a metric, so letting you bypass that with a dedicated service field would cut their revenue. You'll keep patching it until the overhead outweighs the visibility benefit.