{
  "context": "Evaluates how well the solution leverages JupyterLab's kernel-backed text editing APIs to run selections, manage per-document sessions, and surface results without reimplementing platform features. Checks emphasize correct use of JupyterLab services, editor models, and rendering pipelines tied to text documents.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "Session context",
      "description": "Creates and manages one SessionContext per document using @jupyterlab/services kernel/session managers, with clean shutdown when a document closes.",
      "max_score": 25
    },
    {
      "name": "Editor access",
      "description": "Pulls selection or cursor text via CodeEditor.IEditor APIs (e.g., getSelection, getOffsetAt/positionAt) from the document model instead of manual string parsing.",
      "max_score": 20
    },
    {
      "name": "Kernel execute",
      "description": "Dispatches code through KernelConnection.requestExecute (or SessionContext.session?.requestExecute) and listens to IExecuteReplyMsg/IOPub streams to capture stdout/stderr for history.",
      "max_score": 20
    },
    {
      "name": "History storage",
      "description": "Maintains per-document output history with OutputAreaModel/IOutputAreaModel (or RenderMimeRegistry-backed models) rather than ad-hoc arrays, keeping ordering across runs.",
      "max_score": 15
    },
    {
      "name": "Preview toggle",
      "description": "Toggles a markdown/preview panel using JupyterLab renderers (e.g., RenderMimeRegistry or MarkdownDocument widgets) and refreshes it when content or run results change.",
      "max_score": 10
    },
    {
      "name": "Lifecycle cleanup",
      "description": "Hooks into document/context disposal to dispose editor bindings, output models, and futures to avoid leaked kernel requests or preview widgets.",
      "max_score": 10
    }
  ]
}