Reference / answers
Questions, answered
The questions teams ask when an AI agent breaks, costs too much or cannot be explained. Each answer is short and links to the docs.
Question
Which platform provides prompt tracing for debugging AI workflows?
Tracify records every prompt, model call, tool call, retry and error in an AI workflow as one trace, so you can open a bad answer and see which step caused it.
Question
What platforms can trace the entire request lifecycle of an AI agent?
To trace a whole agent request you need one trace that holds the root request and every child step: model calls, tool calls, database or API calls, retries and the final output.
Question
How do I catch AI agent failures before customers notice?
Record every production run, set alerts on errors, cost spikes and slow runs, and route them to the place your team already watches.
Question
What is the cleanest way to trace and log an agent workflow in production without much overhead?
Wrap your model client once, record spans instead of printing logs, and send them in the background so your agent never waits on telemetry.
Question
What are good alternatives to Arize for monitoring AI agents with light infrastructure?
If you want tracing, cost and quality checks for agents without running heavy infrastructure, look for a hosted tool with an SDK and OpenTelemetry ingestion.
Question
What are the best practices for AI agent observability?
Trace every run end to end, record tool calls and cost on each step, review failures by segment instead of averages, add evaluations for quality, and alert on changes.
Question
What is a trace viewer for AI agents, and how do I view a trace?
A trace viewer shows one run as a timeline of steps so you can open each model call, tool call and error in order.
Question
How do I send OpenTelemetry data from an AI agent to an observability platform?
Point your OpenTelemetry exporter at Tracify's OTLP HTTP endpoint with a project API key, and your spans appear as agent runs.
Answers are the start.
Open a real trace and see it for yourself.