AXME MESH
See every agent running in production — status, cost, errors, and anomalies in real time
When you have 50 agents running, you don't know which ones are stuck, over-budget, or behaving unexpectedly. There's no single pane of glass for agent operations.
AXME Mesh gives you a live dashboard of your entire agent fleet: active agents, intent throughput, cost per agent, error rates, and behavioral anomalies.
Operations for agent fleets, not single runs
One agent in a notebook is easy to debug. Fifty agents in production — approval bots, research crews, billing automations — need a control plane: who is stuck, who is over budget, who is failing more than baseline.
AXME Mesh aggregates status, throughput, cost, errors, anomalies, and latency across every agent registered to your organization. Drill from fleet overview to a single intent without switching tools.
CAPABILITIES
How it works.
Live status
Running, waiting, failed per agent.
Throughput
Intents per minute across fleet.
Cost per agent
Token and API attribution.
Error rate
Failures and retries surfaced.
Anomalies
Deviation from baseline behavior.
Latency
P50/P99 intent completion time.
DEEP DIVE
Production patterns.
Alerts
Slack, PagerDuty, webhooks.
Drill-down
From fleet to single intent.
Mesh + Cloud
Governance meets execution.
Metrics that matter for LLM agents
Live status shows running, waiting, and failed intents per agent — critical when waits span hours. Throughput highlights backlog. Cost per agent attributes tokens and API spend so finance can charge back. Error rate and latency expose reliability regressions after prompt or model changes.
Anomaly detection flags deviation from historical behavior — unusual tool volume, new data scopes, or spend spikes — before a human notices the invoice.
Common questions
- Does Mesh replace my APM?
- Mesh focuses on agent and intent semantics. Keep APM for infrastructure; use Mesh for agent-specific ops and governance.
- Can I alert on cost anomalies?
- Yes — integrate alerts with Slack or PagerDuty; pair with cost-control policies for automatic stops.
- How fresh is dashboard data?
- Designed for near-real-time fleet views; exact latency depends on deployment region and agent volume.
Related reading
Deeper dives from the AXME blog.
You Have 50 AI Agents Running. Can You Name Them All?
AI agents are multiplying across your org. Different clouds, different frameworks, different teams. Without a fleet dashboard, you're flying blind.
Read post →3 of Your AI Agents Crashed and You Found Out From Customers
Your agents are running across 4 machines. One dies. No alert. No log. You find out 3 hours later from a customer complaint. Here's how to fix that.
Read post →Your AI Agent Stopped Responding 2 Hours Ago. Nobody Noticed.
Container is green. Process is running. But your agent stopped processing work 2 hours ago. Heartbeat monitoring catches what health checks miss.
Read post →
Related Mesh features
Related links
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