Skip to content

Optimize · Budgets and Cost Controls

Available now

Make AI spending predictable before invoices arrive

Set account and per-agent budgets with thresholds, and choose what happens as spend approaches a limit. Halo can notify owners, pause new operations, or stop active deployments, and cost analytics show spend by agent and model.

At a glance

automatic actions, notify, pause, and stop
3
budget scopes, account and per agent
2

Why it matters

AI spend grows quietly until the invoice

Agents can loop, retry, and call large models without anyone watching the meter. Provider invoices arrive later and do not say which agent or model drove the cost.

  1. 01

    A single runaway agent can use a team's monthly allowance in a short time.

  2. 02

    Finance sees totals, and owners need the breakdown by agent and model.

  3. 03

    Alerts that arrive after the money is spent leave no chance to act.

Automatic actions

Limits that act before the invoice does

A budget threshold can notify an owner, pause new operations, or stop active deployments. You choose the action for each threshold, so spend can stop growing while owners review what happened.

  • Notify owners as spend nears a limit
  • Pause new operations at a threshold
  • Stop active deployments at a higher limit
  • Budgets apply per account and per agent

Capabilities

Limits, thresholds, and actions

Budgets apply where usage happens, and each threshold can trigger the response you choose.

Account budgets
Set an overall budget for the account, so total AI spend has a ceiling that owners and finance both understand.
Per-agent budgets
Give an agent its own budget, so one busy or misconfigured agent cannot consume the allowance meant for others.
Spend thresholds
Define thresholds that trigger as spend approaches a limit, so owners hear about a trend early.
Automatic actions
Choose what happens at a threshold. Halo can notify owners, pause new operations, or stop active deployments.
Cost by agent and model
Cost analytics break spend down by agent and model over selectable time windows, so you can see what drives the total.
Enforced at the gateway
Budgets are checked at the gateway where model and tool traffic passes, so limits apply when usage happens.

How it works

From a ceiling to an automatic response

Set budgets once, then let thresholds do the watching while owners handle exceptions.

  1. 1

    Set the ceiling

    Create an account budget, then add per-agent budgets for the agents that carry the most spend or the most risk.

  2. 2

    Pick thresholds

    Choose the points where Halo should act, such as an early warning and a hard limit.

  3. 3

    Choose the action

    Map each threshold to an action, either notify owners, pause new operations, or stop active deployments.

  4. 4

    Watch and adjust

    Review cost by agent and model, then raise, lower, or reassign budgets as the work changes.

FAQ

Questions, answered

You can set an account budget and per-agent budgets, each with thresholds and automatic actions. Cost analytics break spend down by agent and model, so you can decide where a budget belongs.

The action you configured runs. Halo can notify owners, pause new operations, or stop active deployments, and you can use different actions at different thresholds. Cost analytics then show how spend changed afterward.

Halo does not promise a savings figure. Budgets and cost analytics give owners limits and visibility, and model routing can add savings potential by matching workloads to approved models. Results depend on your usage and on the models you approve.

Halo-managed model usage is billed through Halo credits, and the gateway can also enforce the budgets you set for accounts and agents. With BYOK, your provider bills you directly, and Halo still applies your policy and budgets at the gateway.

Members can view agents, monitoring, and cost dashboards, and account admins manage billing and account settings. Cost analytics show spend by agent and model, so owners can see where usage concentrates.

Put a halo around the AI your business runs.

See discovery, runtime policy, approvals, and evidence working together on your own use cases.