AXONobservability for the agent fleet
docslive
open ingest · no sdk required · postgres native
Every span. Every dollar.
Every failure — seen live.
axon is a drop-in observability spine for ai agents: runs and spans, token burn per model, latency percentiles, and failure forensics — one postgres table away. below is a real fleet, streaming right now.
llmtooldbrouterchain error
emit a span from anywhere
curl -X POST $HOST/api/axon/spans \
-H 'content-type: application/json' \
-d '{"agent":"my-agent","task":"triage #1","spans":[
{"name":"llm.plan","kind":"llm","model":"gpt-5.2",
"tokensIn":1240,"tokensOut":310,"durationMs":840}]}'any agent, any framework, any language — json in, truth out. spans roll up into runs with cost, tokens, and status.
runs
—
spans
—
tokens
—
cost
—
p95 span
—
run errors
—
the hum — spans of the last minute, falling into history
x = wall time · y = drift · 0 in view
recent runs — click for the waterfall
- waking the fleet…
burn by model
fleet health
failure feed —
span density — 1h