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# Invoice Processor Extract, validate, and summarize invoice data using a multi-model AI workflow. ## Context Efficiency | Approach | Tokens Through Context | |----------|------------------------| | Direct tool calls | ~15,000 | | This skill | ~500 | | **Reduction** | **97%** | Heavy data (extracted fields, validation notes) stays in the workflow engine. Only the final summary enters your context. ## Usage ```typescript import { relay } from "@relayplane/sdk"; const result = await relay .workflow("invoice-processor") .step("extract") .with("openai:gpt-4o") .prompt("Extract all invoice fields: number, vendor, date, line items, totals.") .step("validate") .with("anthropic:claude-3-5-sonnet-20241022") .depends("extract") .prompt("Verify line item totals match invoice total. Flag any discrepancies.") .step("summarize") .with("openai:gpt-4o-mini") .depends("validate") .prompt("Create 2-sentence executive summary for finance approval.") .run({ fileUrl: "https://example.com/invoice.pdf" }); console.log(result.finalOutput); // Executive summary console.log(result.steps.extract.output); // Full extracted data (if needed) ``` ## Models Used | Step | Model | Why | |------|-------|-----| | Extract | openai:gpt-4o | Vision-capable, good at structured extraction | | Validate | anthropic:claude-3-5-sonnet-20241022 | Strong reasoning for math verification | | Summarize | openai:gpt-4o-mini | Fast and cheap for simple text generation | ## Estimated Cost ~$0.02-0.05 per invoice (provider costs only, RelayPlane is BYOK) ## Output Schema ```typescript interface InvoiceData { invoiceNumber: string; vendor: { name: string; address: string; }; dates: { invoiceDate: string; dueDate: string; }; lineItems: Array<{ description: string; quantity: number; unitPrice: number; total: number; }>; totals: { subtotal: number; tax: number; total: number; }; paymentTerms: string; } ```

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