LLM Usage Expenses
Keito includes a built-in “LLM Usage” expense category for tracking the cost of AI model usage. This category is automatically created in every workspace.
How It Works
LLM usage expenses use the unit-based expense model:
quantity (tokens in thousands) × unit_price = total_costFor example: 45k tokens at £0.003/k = £0.135.
The expense flows through the standard pipeline: it’s allocated to a project, included in reports, and can be invoiced to clients.
When LLM Expenses Are Created
- Automatically — when an agent integration logs token usage via the API or CLI.
- Manually — you can create LLM usage expenses in the web UI like any other expense.
What’s Captured
| Field | Description |
|---|---|
project_id | The project the tokens were used for |
quantity | Token count (typically in thousands) |
unit_price | Cost per unit |
total_cost | Calculated total |
notes | Model name, context (e.g., “claude-opus-4-6: 25k input + 15k output”) |
metadata | Structured token breakdown, session ID |
Viewing LLM Costs
- Go to Expenses and filter by category → “LLM Usage”.
- Use the source filter to see only agent-created expenses.
- In Reports → Expense Reports, group by category to see total LLM spend across projects.
Invoicing LLM Costs
LLM expenses can be included on client invoices as a separate line item or grouped with other project expenses. See Invoicing Agent Work for details.