| --- |
| 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 |
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| The current prototype detects signals including: |
|
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| - repeated tool calls and possible loops |
| - explicit execution failures |
| - missing observations |
| - unsupported final answers |
| - missing verification behaviour |
| - explicit planning |
| - potentially overconfident conclusions |
|
|
| ## Implementation |
|
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| The application runs entirely in the browser using HTML, CSS and |
| JavaScript. |
|
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| No server-side compute, external API or LLM is required. |
|
|
| ## Scope |
|
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| The application analyzes only observable execution traces supplied by |
| the user. |
|
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| It does not inspect private reasoning or hidden chain-of-thought. |
|
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| 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 |
|
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| This Space is accompanied by the public Hugging Face dataset: |
|
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| MonikaDvorackova/agent-reliability-traces |
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| The dataset contains synthetic observable agent execution traces annotated with reliability-risk labels and failure-mode signals. |
|
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| It can be used to test and extend the deterministic heuristics implemented in this Space. |
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|
