AI Agents · Runtime & Configuration Models, schedules, token usage, and cost policy
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AI control plane

Spend deliberately. Let LLM-authored position safeguards watch continuously.

Everyone may inspect the active policy. Editing models, schedules, or token budgets requires a recent Google authorization from an allowlisted administrator and creates an immutable revision for the local runtime to apply.

Active revision Not initialized
Decision cadence Eight paper-v3 agents per cycle
Projected decision calls Compared with the legacy 45-minute schedule
Estimated AI spend today Provider usage not reported
Next eight-agent cohort Admission status unavailable
Execution safety Paper only Live routing cannot be enabled here

LLM workloads

Models and schedules

Each workload has its own model, reasoning level, schedule, timeout, and daily limits.

Whole-day cost circuit breaker

Estimated USD guardrail

$7 standard ceiling

Provider-reported input, cached-input, cache-write, output, and web-search usage is priced by the local core. A complete eight-agent cycle is admitted atomically: all eight calls run, or none do. The standard policy warns at $5 and refuses a cycle projected to cross $7.

Separate audited one-day exception
Warning
$5.00
Standard refusal
$7.00
Maximum one-day override
$10.00

This action is separate from configuration revisions, expires with the selected New York date, and remains available while a formal experiment segment freezes model and cadence changes.

Always-on local automation

LLM position safeguards

No model calls

These fast jobs keep data and position rules current between deliberate LLM cycles. They are shown here for clarity and are not controlled by the model budget.

Position and exit rules
Every minute
Market/news feed refresh
Every 10 minutes
Order reconciliation
Continuous / event-driven

Protected policy

Immutable safety boundary

Execution mode
paper
Live routing
disabled
Paper-v3 agents
8

No dashboard revision can weaken these values.

Audit trail

Configuration revisions

0 revisions
AppliedRevisionChanged byReasonStatus
No applied configuration revisions yet.

Audited revision

Review configuration changes

Saving queues a desired revision. The connected client validates it again and the local core applies it atomically; this browser never receives provider credentials.