Keito connects Llama API usage and hosting costs to client engagements so you can see what each project costs in AI infrastructure, recover spend in billing, and control open-source LLM costs as usage scales across clients.
Client cost review
Llama API cost this month
$1,280
Active work
24
Reviewed
91%
Ready to bill
$18.4k
Time captured with context
llama api cost tracking
Billing review complete
Client and project checked
Invoice evidence ready
Approved summary prepared
llama api cost tracking needs more than a timer. The billing record has to keep client, project, approval, and invoice context together before the work reaches finance.
Record token fees, subscription usage, and compute costs against the client project they serve as the agents run — not reconstructed at billing time from company card statements.
Combine AI agent cost records with human billable hours in one review so the total delivery effort is visible before the invoice cycle starts.
Use reviewed human and agent cost data to prepare client summaries and invoice backup that reflect how the work was actually delivered.
Llama API billing visibility
Teams building on Meta Llama and open-source LLMs face a cost attribution challenge that is more complex than proprietary API services: costs can come from third-party API providers hosting Llama models (Groq, Together AI, Replicate, Fireworks), or from self-hosted GPU infrastructure running open weights. In both cases, the cost structure is real, the clients generating those costs can be identified, but the connection between LLM spend and client billing is not made automatically. Keito provides the attribution layer: whether costs come from a Llama API endpoint or from infrastructure hosting, they are logged against client engagements, aggregated by billing period, and reviewed alongside human developer hours before invoices are prepared. For AI consultancies using Llama models for client solutions, this turns open-source infrastructure spend from a cost-center assumption into a tracked, recoverable billing item.
Attribute Llama model costs to client projects — whether from Groq, Together AI, Replicate, or self-hosted GPU
Track Llama 3, Llama 3.1, and other open-weight model costs by client across generation and embedding workloads
Include Llama infrastructure costs in client billing summaries alongside human development hours
Workflow fit
Keito keeps llama api cost tracking connected to client, project, billable status, approval, and invoice context before the work reaches finance.
Attribute Llama model costs to client projects — whether from Groq, Together AI, Replicate, or self-hosted GPU
Track Llama 3, Llama 3.1, and other open-weight model costs by client across generation and embedding workloads
Include Llama infrastructure costs in client billing summaries alongside human development hours
Keito tracks AI agent costs against the same client and project structure as human billable hours so agent spend is never invisible overhead. Agent sessions land as source-tagged time entries via the CLI, API, or Agent Skill, with LLM token costs logged as expenses.
See total delivery cost — human hours and AI agent costs together — by client and project so pricing, margins, and billing decisions reflect the real cost of work.
Keito flat pricing means adding AI tracking capacity to the billing workflow does not create a per-seat cost spike as more people and more agents are involved in delivery.
The difference is not just recording time. It is whether the record can support billing, project decisions, and client conversations.
Llama model cost attribution by client vs infrastructure overhead assumption
Keito keeps llama api cost tracking tied to clients, projects, billable status, approvals, and billing summaries in one workspace.
Typical setups capture time in one tool and rebuild the billing explanation later from exports, comments, or spreadsheet cleanup.
Review before invoicing
Managers review entries before they become invoice evidence, so missing context is fixed internally rather than during a client dispute.
Raw timer exports usually reach finance before delivery leads have confirmed whether the work is billable, complete, or client-ready.
Predictable team pricing
Flat-rate plans let delivery staff, reviewers, contractors, and finance users participate without per-seat pricing friction.
Per-seat time trackers make teams choose between clean billing participation and controlling tool spend.
Use a workspace where time is captured against the right client and project, reviewed before invoicing, and exported as billing evidence. Keito is built around that workflow, so llama api cost tracking is not separated from the approval and invoice context it needs.
Yes. Keito tracks work by client, project, person, billable status, and review state, then turns approved records into client-ready summaries. That makes it useful when llama api cost tracking needs to support billing, profitability, and client reporting rather than just attendance.
A generic timer records duration. Keito records billable context: who did the work, which client and project it belongs to, whether it has been reviewed, and how it should appear in billing evidence.
Solo is built for one human owner and unlimited AI agents. Pro adds human teammates. Business adds integrations, exports, and online invoice payments.
One human owner
For independent consultants, freelancers, and small studios running work with AI agents.
Team collaboration
For teams that need shared workspaces, approvals, and team-level project visibility.
Advanced operations
For organizations that need integrations, exports, online payments, and stronger controls.
AI agents do not count as human seats on any plan.
Solo, Pro, and Business can use API keys for agent workflows.
Stripe payments, exports, Xero, and QuickBooks are on Business.
Start with Solo, add people on Pro when you need reviewers or collaborators, and see how Keito turns tracked effort into clearer reports.