---
title: Agent Reliability Lab
emoji: 🧭
colorFrom: blue
colorTo: indigo
sdk: static
pinned: false
short_description: Analyze reliability signals in AI agent traces
tags:
  - agents
  - agent-evaluation
  - reliability
  - responsible-ai
---

# Agent Reliability Lab

Interactive static laboratory for analyzing observable reliability and
failure-mode signals in AI agent execution traces.

## What it analyzes

The current prototype detects signals including:

- repeated tool calls and possible loops
- explicit execution failures
- missing observations
- unsupported final answers
- missing verification behaviour
- explicit planning
- potentially overconfident conclusions

## Implementation

The application runs entirely in the browser using HTML, CSS and
JavaScript.

No server-side compute, external API or LLM is required.

## Scope

The application analyzes only observable execution traces supplied by
the user.

It does not inspect private reasoning or hidden chain-of-thought.

The reliability score is a deterministic heuristic engineering signal
and should not be interpreted as a calibrated measure of correctness,
safety or production reliability.

## License

Apache-2.0

## Associated dataset

This Space is accompanied by the public Hugging Face dataset:

MonikaDvorackova/agent-reliability-traces

The dataset contains synthetic observable agent execution traces annotated with reliability-risk labels and failure-mode signals.

It can be used to test and extend the deterministic heuristics implemented in this Space.