langextract-rust 0.5.0

A Rust library for extracting structured and grounded information from text using LLMs
Documentation 
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[
  {
    "text": "Product XYZ-123 costs $29.99 and weighs 2.5 kg with a 95% efficiency rating",
    "extractions": [
      {
        "extraction_class": "product_code",
        "extraction_text": "XYZ-123",
        "attributes": {
          "value_type": ["alphanumeric", "product_id"],
          "format": "uppercase_with_hyphens",
          "max_length": 10
        }
      },
      {
        "extraction_class": "price",
        "extraction_text": "$29.99",
        "attributes": {
          "value_type": ["currency", "dollars", "cents"],
          "format": "currency_with_symbol",
          "currency": "USD",
          "decimal_places": 2
        }
      },
      {
        "extraction_class": "weight",
        "extraction_text": "2.5 kg",
        "attributes": {
          "value_type": ["numeric", "weight", "measurement"],
          "format": "number_with_unit",
          "unit": "kg",
          "min_value": 0
        }
      },
      {
        "extraction_class": "efficiency",
        "extraction_text": "95%",
        "attributes": {
          "value_type": ["percentage", "numeric"],
          "format": "percentage_with_symbol",
          "min_value": 0,
          "max_value": 100
        }
      }
    ]
  },
  {
    "text": "Contact support at help@company.com or call (555) 123-4567 between 9:00 AM and 5:00 PM",
    "extractions": [
      {
        "extraction_class": "email",
        "extraction_text": "help@company.com",
        "attributes": {
          "value_type": ["email", "contact"],
          "format": "email_address",
          "validation": "email_format"
        }
      },
      {
        "extraction_class": "phone",
        "extraction_text": "(555) 123-4567",
        "attributes": {
          "value_type": ["phone", "contact"],
          "format": "us_phone_with_parens",
          "validation": "phone_format"
        }
      },
      {
        "extraction_class": "time_start",
        "extraction_text": "9:00 AM",
        "attributes": {
          "value_type": ["time", "schedule"],
          "format": "12_hour_with_am_pm"
        }
      },
      {
        "extraction_class": "time_end",
        "extraction_text": "5:00 PM",
        "attributes": {
          "value_type": ["time", "schedule"],
          "format": "12_hour_with_am_pm"
        }
      }
    ]
  }
]