Can caps apply per environment?

Yes — namespace and agent labels separate staging from production budgets.

Does Cloud alone track cost?

Execution happens in Cloud; attribution and caps are Mesh capabilities for production fleets.

What about non-LLM API costs?

Configure meters for third-party APIs where integrations exist; token attribution is the primary LLM use case.

AXME

Set hard limits on what your agents can spend — per hour, per day, per run

One misconfigured loop between two agents can generate thousands of API calls in minutes. Without per-agent cost attribution, the bill arrives before you know what happened.

AXME Mesh tracks token costs, API calls, and compute per agent.

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One misconfigured loop can burn $500 overnight on GPT-4 retries. Without per-agent attribution, finance sees one OpenAI line item — engineering guesses which agent.

Agent spend is a product metric, not a surprise

Token bills aggregate every agent into one line item. Engineering knows which feature launched last week; finance cannot attribute $500 overnight to a specific loop — until someone notices the OpenAI dashboard.

AXME Mesh attributes LLM tokens, API calls, and compute per agent and team. Soft alerts give owners time to tune; hard caps and rate limits stop runaway spend before the invoice closes.

Example: Friday 5 PM research agent

A ticket-processing agent calls GPT-4 per ticket. Expected 200 tickets/day (~$8). A retry loop after a bad deploy runs all weekend — $500 before Monday standup, with no per-agent attribution on the invoice.

With Mesh: alert at 80% of daily budget Friday evening; hard cap halts the agent; fleet view ties spend to intent IDs for the postmortem.

SOLUTION

How teams solve this with AXME.

Token attribution

Per agent and team.

Hard budget caps

Stop before overrun.

Soft alerts

Notify at 80%.

Rolling out cost controls

Register agents in Mesh with team labels. Set soft alerts for warning and hard caps for stop — align caps with kill switch for automatic halt. Review historical trends weekly to right-size budgets.

Pair with policy-enforcement so budget rules are not optional overrides in agent prompts.

Common questions

Can caps apply per environment?: Yes — namespace and agent labels separate staging from production budgets.
Does Cloud alone track cost?: Execution happens in Cloud; attribution and caps are Mesh capabilities for production fleets.
What about non-LLM API costs?: Configure meters for third-party APIs where integrations exist; token attribution is the primary LLM use case.

Related capabilities

Cost control

Mesh feature.

Fleet visibility

See spend live.

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