Progress AI Observability is a specialized software solution designed to help development teams trace, evaluate, and improve AI agents in production. Built to bridge the gap left by traditional monitoring tools, it allows engineers to debug and monitor AI agent failures in a matter of minutes.

With support for multiple programming languages including .NET, Python, and JavaScript, the platform enables you to trace every run, catch hallucinations, and identify ungrounded answers that standard application monitoring typically misses. By providing deep visibility into exactly what went wrong during an agent's execution, Progress AI Observability helps teams reduce token waste, continuously improve agent quality, and ship AI-powered features faster.

Pros of Progress AI Observability

Traces every run to pinpoint exact points of failure in AI agents
Catches hallucinations and ungrounded answers missed by traditional monitoring
Broad language support including .NET, Python, and JavaScript
Helps reduce token waste and improve overall agent quality

Cons of Progress AI Observability

Specific pricing tiers and plans are not detailed in the available metadata
Advanced integration capabilities outside of .NET, Python, and JavaScript are not mentioned

Frequently Asked Questions

What is Progress AI Observability?

Progress AI Observability is a platform built to trace, evaluate, and improve AI agents in production, helping developers debug agent failures, catch hallucinations, and minimize token waste.

Which programming languages are supported?

The platform provides support for .NET, Python, and JavaScript environments.

How does it help with debugging?

It allows you to trace every run of your AI agents, giving you exact visibility into failures, ungrounded answers, and hallucinations that traditional monitoring tools often miss.