Track LLM API costs by client and project before they hit the invoice.
Keito gives teams a billing workspace for LLM API spend: attribute token costs by client project, review AI costs alongside human billable hours, and include LLM usage in the delivery billing record.
llm 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.
Capture AI agent costs as they happen
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.
Review agent costs alongside human time
Combine AI agent cost records with human billable hours in one review so the total delivery effort is visible before the invoice cycle starts.
Produce billing evidence that covers every delivery resource
Use reviewed human and agent cost data to prepare client summaries and invoice backup that reflect how the work was actually delivered.
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LLM API billing gap
LLM API costs are real client delivery costs — track them before the invoice
Teams building AI-powered products and services for clients have a new billing challenge: LLM API costs — tokens, inference, fine-tuning — are legitimate client delivery costs, but most billing workflows have no place for them. Token costs arrive as provider invoices, get absorbed as overhead, and disappear from the client billing record. The result is under-billing, margin erosion, and invoices that do not reflect the real cost of AI-augmented delivery. Keito provides the billing layer for LLM API costs: attribute token and inference spend to the client project that incurred it, review LLM costs alongside human billable hours in a single billing workspace, and include AI delivery costs in client summaries and invoice backup.
Attribute LLM API token costs (OpenAI, Anthropic, Gemini, Mistral) to client projects in Keito
Review LLM API spend alongside team billable hours before invoicing
Include AI delivery costs in client billing summaries for transparent invoicing
Workflow fit
LLM API cost attribution and client billing
Keito keeps llm api cost tracking connected to client, project, billable status, approval, and invoice context before the work reaches finance.
Attribute LLM API token costs (OpenAI, Anthropic, Gemini, Mistral) to client projects in Keito
Review LLM API spend alongside team billable hours before invoicing
Include AI delivery costs in client billing summaries for transparent invoicing
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What Keito adds to llm api cost tracking
Per-client AI cost attribution
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.
Token and subscription cost capture
Client and project attribution
Reviewable alongside human time
Combined human and agent billing view
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.
Human + AI cost in one workspace
Project-level margin context
Combined billing evidence
Flat pricing for AI-augmented teams
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.
No per-user escalation
Room for AI and human contributors
Predictable monthly tool cost
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Compare the workflow
The difference is not just recording time. It is whether the record can support billing, project decisions, and client conversations.
AreaKeitoTypical setup
LLM API cost attribution and client billing
Keito keeps llm 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.
What is the best way to manage LLM API cost tracking?
The best way to manage LLM API cost tracking is to capture work at source, attach it to the right client and project, review it before invoicing, and use the reviewed record as billing evidence. Keito is built around that workflow so time, approvals, and invoice context stay connected.
Can Keito help with LLM API cost tracking?
Yes. Keito helps with LLM API cost tracking by tracking work by client, project, task, person, billable status, and review state, then turning approved records into client-ready summaries. That makes the data useful for billing, profitability, and client reporting rather than just attendance.
How is Keito different from a generic timer for LLM API cost tracking?
Keito is different because it treats time as billing evidence, not just duration. A generic timer records how long something took; Keito records who did the work, where it belongs, whether it was reviewed, and how it should appear in client billing context.
Can LLM API cost tracking support billing clients for AI work?
Yes, LLM API cost tracking can support billing clients for AI work when agent sessions, token costs, compute spend, and human review time are attributed to the right client project. Keito keeps AI costs and human time together so teams can explain total delivery effort before invoicing.
What should a client-ready LLM API cost tracking report include?
A client-ready LLM API cost tracking report should include the client, project, task, contributor, billable status, approval state, and a concise explanation of the work completed. Keito keeps those details connected so reports can answer client questions without exposing internal delivery noise.
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Start solo.Add people when you need them.
Solo includes 1 licensed user, unlimited AI agents, Mac desktop and iOS apps, Stripe payments, and standard CSV and Excel exports. Pro adds your team. Business adds integrations, planning, advanced reporting, and stronger controls.
Solo
1 licensed user
For independent consultants, freelancers, and small studios running work with AI agents.