Kalytera

Kalytera is an observability platform built specifically for AI agents running in production. It watches every step of every session your agent handles, scores interactions across multiple dimensions, and surfaces failures before your users encounter them. If you have deployed an agent and want to know whether it is actually working well, this is the gap it tries to close.

The core problem is visibility. Traditional logging tells you an agent responded, but not whether the response was accurate, whether it aligned with what the user actually needed, or whether the reasoning behind it was sound. Kalytera scores each interaction on accuracy, goal alignment, decision quality, and completeness. When something breaks mid-workflow in a way that still produces a plausible output, the platform catches it.

Integration is lightweight. A single decorator wraps your agent function, or you can use manual tracing for more control. The tracer fires and forgets in under five milliseconds, so it stays out of the critical path. It supports LangChain, CrewAI, AutoGen, and custom frameworks, which covers most of the popular agent stacks today.

Where it goes beyond raw scores is pattern detection. Recurring failures get grouped and named automatically, with plain language explanations of what went wrong instead of a spreadsheet of numbers. You can see whether a pattern is getting worse week over week, which helps separate noise from real regressions.

The dashboard has three main views. An overview shows seven day quality trends and pass rates at a glance. A failure feed lists individual failures and grouped patterns. An interaction detail view lets you step through a full session trace with per step scores, so you can see exactly where things went sideways.

Pricing is session based and starts with a free tier of ten thousand sessions per month. Starter is forty nine dollars for fifty thousand, Growth is one forty nine for two hundred thousand, and Enterprise is custom pricing for anything above that. The tiers include the same core features, just more volume, so a solo developer can try it without paying and a team can scale up as the agent sees more traffic.

It fits anyone operating an agent in production who wants more than hope and spot checks. If you have shipped an agent and found yourself debugging user complaints by grepping logs, Kalytera offers a more structured way to monitor what is happening and catch problems earlier.