Observability

AgentQL

Query language and debug interface for tracing, replaying, and fixing LLM agent workflows.

Overview

AgentQL introduces a SQL-like syntax to query LLM agent execution traces, allowing developers to slice, filter, and aggregate conversation data programmatically. It pairs this query capability with a playback debugger that lets teams replay specific agent steps to isolate failures and test fixes rapidly.

Best for

agent debugging
trace querying
playback-based troubleshooting

Trade-offs

vs AgentOps

AgentQL focuses on post-hoc trace querying and step replay for debugging; AgentOps emphasizes real-time monitoring and production alerting.

What XeroHack pre-wires

When you pick AgentQL in the interview, the engine emits these files into your scaffold:

SELECT * FROM traces WHERE status = 'error'
step-by-step playback debugger

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