AI Data Analyst Agent

Agent Diagnostics

System health & execution trace

Live service checks, sandbox execution logs with retries, and the raw agent state graph.

Pipeline Duration

21.5s

Last full run

Total Tokens

17,062

Input + output

Avg LLM Latency

2583ms

Across 4 calls

Estimated Cost

$0.0312

This run

Service health

Backend API

Connected

42msjust now

Database

Connected

18msjust now

LLM Provider

Connected

612ms12s ago

Sandbox

Degraded

1840ms30s ago

Report Service

Connected

88ms1m ago

Generated code

plan = planner.invoke({
    "profile": profile_summary,
    "objective": "Explain revenue drivers and data quality risks",
})

for step in plan.steps:
    print(step.id, step.description)

stdout

1 Aggregate revenue by region
2 Trend revenue by month
3 Test discount depth vs units
4 Quantify missing data