The observability gap
Traditional monitoring often begins in the cloud. Enterprise agents can begin on laptops and IDEs. Edge discovery preserves origin evidence that a backend may never receive.
Technical guide
Why AI agent fleet observability must start at the edge.
AxLoop begins with supported discovery evidence on the devices where agent work starts. Its product direction is to correlate that origin context with downstream interaction evidence.
Talk to AxLoopWhat the fleet view connects
The product direction is to preserve supported relationships across the tool-call path: identity, server, tool, model, latency, and outcome, with unavailable fields clearly marked.
Client-edge spans
Server logs can miss failed attempts and local configuration. Future client-edge tracing could preserve supported evidence before a request reaches a backend.
Optimization is the outcome
Evaluation depends on trustworthy traces. It is a later product stage built after discovery and interaction correlation, not a current discovery claim.
Common questions
Answers, briefly.
- What is an AI agent fleet?
- The full set of AI agents, clients, MCP servers, and tools operating across an organization's devices and infrastructure, managed as one operational system rather than isolated tools.
- Why must fleet observability start at the edge?
- Agent work begins on user devices. Server-side telemetry misses local configuration, failures before a request leaves the device, and the user and device that initiated the work.
- How does fleet observability relate to existing tools?
- AxLoop currently supports optional OpenTelemetry export for normalized inventory evidence. Connecting future interaction context with server-side traces is product direction.
- What outcomes could fleet observability support?
- As tracing matures, connected evidence could support reliability analysis, cost optimization, investigation, and security decisions. Current claims remain focused on supported discovery and inventory evidence.
AxLoop AI
Start with evidence at the edge.
Discover what exists. Build toward understanding the interaction.