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templates/extraction/README.md

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+# Extraction Templates
+
+Templates for data extraction patterns (invoice, resume, receipt, etc.)
+
+## Pattern Structure
+
+Each extraction template includes:
+- Input types (often image or text)
+- Output class definitions (structured data)
+- Extraction function with detailed prompt
+- Validation rules
+- Example test cases
+
+## Common Use Cases
+
+- Invoice extraction
+- Resume parsing
+- Receipt processing
+- Document analysis
+- Form extraction

templates/extraction/invoice_extraction.baml

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+// Example: Invoice Extraction Pattern
+// This template extracts structured invoice data from images
+
+class LineItem {
+  description string @description("Item description")
+  quantity int @description("Number of units")
+  unit_price float @description("Price per unit")
+  total float @description("Line item total")
+}
+
+class Invoice {
+  invoice_number string @description("Invoice ID")
+  date string @description("Invoice date (YYYY-MM-DD)")
+  vendor_name string
+  items LineItem[] @description("List of line items")
+  subtotal float
+  tax float
+  total float @description("Grand total")
+}
+
+client VisionModel {
+  provider "openai"
+  options {
+    model "gpt-4o"
+    temperature 0.0
+  }
+}
+
+function ExtractInvoice(invoice_image: image) -> Invoice {
+  client VisionModel
+
+  prompt #"
+    Extract all information from this invoice image.
+
+    {{ invoice_image }}
+
+    IMPORTANT:
+    - Validate that subtotal + tax = total
+    - Extract all line items accurately
+    - Use YYYY-MM-DD format for dates
+
+    {{ ctx.output_format }}
+  "#
+}