OBSERVABILITY Signal 510
AgentSight uses eBPF to trace AI agent LLM calls and token consumption without modifying code
AgentSight is an eBPF-based observability tool for Linux that captures AI agent LLM API calls, token usage, and process behavior without requiring code modifications.
Operators can monitor AI agent health, token costs, and execution errors like context overflow without altering the agent codebase. The tool requires Linux kernel 5.8 or higher and root privileges to deploy the eBPF probes.
Written by elseif from the cluster below · every claim links back to a sourceThe three things worth knowing
AgentSight uses eBPF probes to capture LLM API calls, token consumption, and process behavior without modifying agent code.
The tool requires Linux kernel 5.8 or higher with BTF support, as well as root or CAP_BPF privileges.
It includes a web dashboard for real-time visualization and supports token-based authentication for remote access.
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