Usage analytics
The LLM Usage screen shows who is spending what, on which models, in near real time. It covers every call routed through the LLM proxy — both BYOK and managed traffic.
The LLM Usage screen
Open LLM usage from the console (the Billing tab's Open LLM usage button lands here too). It has two tabs, Usage analytics and Budgets; this page covers the first, and Budgets covers the second. Viewing usage analytics requires the provisioner audit permission.
Four tiles summarize the current calendar month:
- Spend (this month): total cost of proxied LLM calls so far.
- Tokens (this month): input plus output tokens.
- Burn rate ($/day): average daily spend this month.
- Projected month-end: the burn rate extended to the end of the month.
Below the tiles, the Daily cost chart plots cost per day for the selected range.

Breakdowns and filters
Three cards rank spend for the selected range: Top users, Top models, and Top teams, each with a cost bar per row. The Leaderboard (this month) table below them lists the top people for the calendar month with their Spend and Requests counts.
The Filters card narrows everything on the tab: a From and To date range, a Provider select (All, OpenAI, Anthropic), and User and Team selects. Choose your filters and select Apply. Use the user filter to answer "what did this person spend last week", or the team filter to compare a pilot team against the rest of the organization.
Tool traffic on the Dashboard
LLM spend is only half the picture; the other half is what skills actually did with their tools. The Dashboard carries that side:
- Tool call activity: MCP proxy successes and errors by day, across all devices.
- Call status: the share of successful proxy calls.
- Recent activity: a live tool call stream showing the latest MCP calls, with View all linking into the audit log.
What employees see
People don't need admin access to know their own numbers. The My AI page shows each person Your LLM usage (via Harriet proxy) with their own cost and token totals — the same figures that appear in your LLM Usage reports, so there are no surprises in either direction. See Your usage.
Usage analytics is a read-out; it never blocks anything. When a number here worries you, turn it into a budget so the proxy enforces the limit for you.