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.