{
  "context": "Evaluates how well the solution uses azure-ai-documentintelligence to submit a single document analysis, configure optional parameters, and interpret the AnalyzeResult. Focuses on proper client construction, request configuration, and extraction of expected fields and content formats.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "Client setup",
      "description": "Initializes DocumentIntelligenceClient with a valid endpoint and credential (AzureKeyCredential or TokenCredential) before issuing analysis requests.",
      "max_score": 20
    },
    {
      "name": "Analyze request",
      "description": "Uses begin_analyze_document with the provided model_id and a binary file stream/body, retrieves the AnalyzeDocumentLROPoller, and waits for result() to obtain AnalyzeResult.",
      "max_score": 25
    },
    {
      "name": "Pages and locale",
      "description": "Passes pages and locale arguments into begin_analyze_document so page scoping and language hints influence the service-side extraction.",
      "max_score": 15
    },
    {
      "name": "Query fields",
      "description": "Supplies query_fields when provided and maps the returned AnalyzeResult.documents or key_value_pairs to the requested field names, returning missing entries as None.",
      "max_score": 15
    },
    {
      "name": "Content format",
      "description": "Selects output_content_format='markdown' when markdown output is requested and defaults to text otherwise, ensuring the returned content aligns with the requested format.",
      "max_score": 15
    },
    {
      "name": "Field extraction",
      "description": "Extracts expected fields (e.g., CustomerName and TotalAmount) from AnalyzeResult using DocumentField values and includes the full text or markdown content in the response object.",
      "max_score": 10
    }
  ]
}