* feat(agent): move every model call to Sonnet 5
Sonnet 5 is verified enabled on our Bedrock account already: a live probe of
eu.anthropic.claude-sonnet-5 in eu-north-1 answered normally, so no model-access
request was needed. The bare anthropic.claude-sonnet-5 is rejected (on-demand
throughput needs the cross-region inference profile), so the eu. prefix we
already use stays.
This is not a model-string swap. Sonnet 5 REJECTS the fixed thinking budget
outright: thinking {type:'enabled', budget_tokens} returns 400 "not supported
for this model. Use thinking.type.adaptive and output_config.effort". Every
chat intent set a budget, so the assistant would have failed on the first turn
after a bare ID change. Reasoning depth is now an effort level (STANDARD high,
DEEP xhigh), and max_tokens is explicit per tier rather than derived from a
budget that no longer exists.
display:'summarized' is load-bearing, not cosmetic. The default is 'omitted',
which still emits thinking blocks but with empty text. Measured on our own
account at xhigh effort: summarized returned ~1k characters of reasoning, the
default returned none. Without it the collapsible "Tänker ..." block in the
chat would have gone silently empty, which no mocked test would have caught.
Ceilings are raised (16k standard, 24k deep) because Sonnet 5's tokenizer
produces roughly 30% more tokens for the same text and max_tokens now caps
thinking and the visible reply together.
Also resolves the Opus 4.7 landmine recorded in the readiness doc: the composer
comment told ops to flip BEDROCK_OPUS_MODEL_ID to Opus 4.7, which would have
400d every thinking intent against the legacy budget shape. Both model
constants now point at Sonnet 5 and the stale instruction is gone.
Checked but deliberately unchanged: forced tool_choice in atom-selection. The
Sonnet 5 docs require thinking:{type:'disabled'} alongside a forced tool_choice
on Bedrock; probed against our account, the forced call succeeds without it, so
no change was made rather than adding a guard we cannot show is needed.
Other call sites moved too: invoice-inbox extraction, document extraction, the
compliance config, and the CI/CD workflows (pr-agent MODEL and MODEL_WEAK,
swedish-compliance-review, compliance-swarm).
Verified: 11315 tests pass, lint and tsc clean on every touched file, guards
pass.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
* fix(agent): review triage: keep the no-thinking output ceiling, finish the model sweep
max_tokens now caps thinking and the visible reply together, so collapsing the
two tiers into one made every non-thinking intent inherit a 16000 ceiling where
it used to have 4096. Give it its own MAX_TOKENS_NO_THINKING instead, set to the
old 4096 scaled ~30% for Sonnet 5's tokenizer so the effective reply length is
unchanged rather than quietly cut.
scripts/swedish-compliance-review.mjs still fell back to Sonnet 4.6 when
REVIEW_MODEL was unset, so a manual run silently used the old model. The initial
sweep only covered .ts and .yml.
pr-agent's FALLBACK_MODELS listed the primary model as its own fallback, which is
not a fallback; dropped it and rewrote the surrounding comments, which still
described Opus 4.8 and a 200k window.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 5 <noreply@anthropic.com>
327 lines
13 KiB
TypeScript
327 lines
13 KiB
TypeScript
// AI-driven invoice/receipt field extraction.
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//
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// Sends the uploaded document directly to Claude Sonnet 4.6 via AWS
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// Bedrock and asks for a structured InvoiceExtractionResult JSON. Sonnet
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// reads PDFs, images, and scans natively, which the previous regex
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// extractor couldn't: that's why English receipts (Anthropic, AWS,
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// Stripe, …) and image-only PDFs came back empty.
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//
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// The AI output is validated against a Zod schema; anything that doesn't
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// parse falls back to an empty result so the inbox row still lands and
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// the user can fill the fields in manually.
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import { createHash } from 'node:crypto'
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import AnthropicBedrock from '@anthropic-ai/bedrock-sdk'
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import { z } from 'zod'
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import type { InvoiceExtractionResult } from '@/types'
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import { createLogger } from '@/lib/logger'
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const log = createLogger('invoice-inbox-extract')
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// Both overridable via env vars so ops can swap models / raise token caps
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// without a code deploy. Defaults match what's expected to be set in
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// production (eu.anthropic.claude-sonnet-5 in eu-north-1, 8192 tokens:
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// enough headroom for invoices with 20+ line items).
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const MODEL = process.env.BEDROCK_MODEL_ID || 'eu.anthropic.claude-sonnet-5'
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const MAX_TOKENS = (() => {
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const parsed = Number(process.env.BEDROCK_MAX_TOKENS)
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// Use the env value only if it's a positive number: `||` would also
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// fall back on a deliberate `0`, masking what is really an invalid
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// configuration rather than the intent to disable.
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return Number.isFinite(parsed) && parsed > 0 ? parsed : 8192
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})()
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// Bedrock supports these document/image media types directly. HEIC/HEIF
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// are not on the list, so we skip AI for those: the inbox row still
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// lands and the user can edit fields manually or replace the file.
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const SUPPORTED_MEDIA_TYPES = new Set([
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'application/pdf',
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'image/jpeg',
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'image/png',
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'image/webp',
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'image/gif',
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])
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export interface ExtractionInput {
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buffer: Buffer
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mimeType: string
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fileName: string
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}
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export interface ExtractionOutput {
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data: InvoiceExtractionResult
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/** The raw JSON string returned by the model, or null on failure. */
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rawText: string | null
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}
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export const ExtractionSchema = z.object({
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supplier: z.object({
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name: z.string().nullable(),
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orgNumber: z.string().nullable(),
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vatNumber: z.string().nullable(),
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address: z.string().nullable(),
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bankgiro: z.string().nullable(),
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plusgiro: z.string().nullable(),
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}),
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invoice: z.object({
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invoiceNumber: z.string().nullable(),
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invoiceDate: z.string().nullable(),
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dueDate: z.string().nullable(),
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paymentReference: z.string().nullable(),
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currency: z.string(),
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// Service/coverage window the invoice charges for (insurance period,
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// license term, "avtalsperiod"). Drives the periodisering prefill in the
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// supplier-invoice form. Optional so cached raw outputs from before this
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// field still validate.
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servicePeriodStart: z.string().nullable().optional(),
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servicePeriodEnd: z.string().nullable().optional(),
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}),
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lineItems: z.array(
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z.object({
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description: z.string(),
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quantity: z.number(),
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unitPrice: z.number().nullable(),
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lineTotal: z.number(),
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// Sane range for any real-world VAT rate. We allow non-Swedish rates
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// (UK 20, DE 19, NO 25, ...) since Accounted stores foreign invoices
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// for reference; the strict Swedish allowlist applies later when the
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// user converts to a supplier invoice.
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vatRate: z.number().min(0).max(100).nullable(),
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// accountSuggestion is forcibly null at parse time: we never
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// delegate BAS account assignment to an unvalidated AI output.
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// .transform coerces a hallucinated string to null without
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// failing the whole document parse, and eliminates the
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// post-validation null-forcing pattern that left a brief window
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// where a non-null value could appear in the parsed object.
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accountSuggestion: z.union([z.string(), z.null()]).transform(() => null as null),
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})
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),
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totals: z.object({
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subtotal: z.number().nullable(),
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vatAmount: z.number().nullable(),
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total: z.number().nullable(),
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}),
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vatBreakdown: z.array(
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z.object({
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rate: z.number().min(0).max(100),
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base: z.number(),
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amount: z.number(),
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})
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),
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})
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// Agent-supplied extraction: accountSuggestion is preserved instead of forced
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// to null. Agents (unlike AI extractors) can reliably assign a BAS expense
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// account; the regex enforces the class-4-7 range required for cost accounts.
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export const AgentExtractionSchema = ExtractionSchema.omit({ lineItems: true }).extend({
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lineItems: z.array(
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z.object({
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description: z.string(),
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quantity: z.number(),
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unitPrice: z.number().nullable(),
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lineTotal: z.number(),
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vatRate: z.number().min(0).max(100).nullable(),
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accountSuggestion: z.string().regex(/^[4-7]\d{3}$/).nullable(),
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})
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),
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})
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const SYSTEM_PROMPT = `You extract invoice and receipt fields from a single document for a Swedish accounting system.
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Return ONLY a single JSON object that matches this schema exactly. No prose, no markdown fences, no commentary.
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{
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"supplier": {
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"name": string | null,
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"orgNumber": string | null, // 10 digits, no hyphen, only when issued by a Swedish entity
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"vatNumber": string | null, // ISO format, e.g. "SE556012579001" or "DE123456789"
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"address": string | null, // multi-line allowed
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"bankgiro": string | null, // Swedish bankgiro, with hyphen, e.g. "991-2346"
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"plusgiro": string | null // Swedish plusgiro, with hyphen, e.g. "12345-6"
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},
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"invoice": {
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"invoiceNumber": string | null, // include any suffix, e.g. "06655767-0007"
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"invoiceDate": string | null, // ISO date YYYY-MM-DD
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"dueDate": string | null, // ISO date YYYY-MM-DD
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"paymentReference": string | null, // OCR / payment reference
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"currency": string, // ISO 4217 (SEK, USD, EUR, ...). Default "SEK" only if truly indeterminate.
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"servicePeriodStart": string | null, // ISO date: start of the service/coverage window the invoice charges for
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"servicePeriodEnd": string | null // ISO date: end of that window
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},
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"lineItems": [
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{
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"description": string,
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"quantity": number,
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"unitPrice": number | null,
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"lineTotal": number,
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"vatRate": number | null, // percent integer: 25, 12, 6, or 0. Same convention as vatBreakdown.rate.
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"accountSuggestion": null // always null: leave Swedish BAS suggestion to the user
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}
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],
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"totals": {
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"subtotal": number | null, // amount excluding VAT
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"vatAmount": number | null, // total VAT
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"total": number | null // amount including VAT: what the buyer pays
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},
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"vatBreakdown": [
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{ "rate": number, "base": number, "amount": number } // rate as percent integer, e.g. 25 for 25%
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]
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}
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VAT rate convention: BOTH lineItems[].vatRate AND vatBreakdown[].rate use the same percent-integer format (25, 12, 6, 0). Never use the decimal form (0.25, 0.12).
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Rules:
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- Output JSON only. The first character must be '{' and the last must be '}'.
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- Currency: detect from the document (symbol $/€/kr or explicit code). Use the ISO 4217 code. Do NOT default to SEK if the document clearly shows another currency.
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- "total" is the amount the buyer must pay (look for "Att betala", "Total", "Amount paid", "Amount due", "Balance"). Prefer this over Subtotal.
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- Dates: convert any format to YYYY-MM-DD. If the document only shows month/year, leave null.
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- servicePeriodStart/servicePeriodEnd: only when the document explicitly states the period the charge covers ("Avtalsperiod", "Period", "Försäkringstid", "Subscription period", coverage dates). Never infer from invoice/due dates. Month-only boundaries map to the first resp. last day of the month.
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- Bankgiro/Plusgiro: only set when the document is for a Swedish supplier on a Swedish bank rail. Do not invent.
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- Org.nr: only set when it is an actual Swedish organisation number (10 digits, Luhn-valid). For US/EU companies leave null even if they list an EIN/VAT number.
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- VAT number: include the country prefix.
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- Numbers: parse with the document's locale (Swedish "1 234,56" = 1234.56; English "$1,234.56" = 1234.56). Output as plain JSON numbers.
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- If a field is missing or unreadable, set it to null. Never invent values.
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- lineItems: include every line. Empty array is fine if the document has no itemised lines.
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- vatBreakdown: include one entry per distinct VAT rate. Empty array is fine.`
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export function emptyResult(): InvoiceExtractionResult {
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return {
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supplier: {
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name: null,
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orgNumber: null,
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vatNumber: null,
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address: null,
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bankgiro: null,
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plusgiro: null,
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},
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invoice: {
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invoiceNumber: null,
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invoiceDate: null,
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dueDate: null,
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paymentReference: null,
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currency: 'SEK',
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servicePeriodStart: null,
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servicePeriodEnd: null,
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},
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lineItems: [],
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totals: { subtotal: null, vatAmount: null, total: null },
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vatBreakdown: [],
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confidence: 0,
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}
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}
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function buildContent(input: ExtractionInput) {
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const base64 = input.buffer.toString('base64')
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if (input.mimeType === 'application/pdf') {
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return [
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{
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type: 'document' as const,
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source: { type: 'base64' as const, media_type: 'application/pdf' as const, data: base64 },
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},
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{ type: 'text' as const, text: 'Extract the fields per the schema. JSON only.' },
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]
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}
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return [
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{
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type: 'image' as const,
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source: {
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type: 'base64' as const,
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media_type: input.mimeType as 'image/jpeg' | 'image/png' | 'image/webp' | 'image/gif',
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data: base64,
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},
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},
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{ type: 'text' as const, text: 'Extract the fields per the schema. JSON only.' },
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]
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}
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/**
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* Extract invoice fields by sending the document directly to Claude
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* Sonnet 4.6 via AWS Bedrock. Never throws on extraction failure:
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* always returns an InvoiceExtractionResult. Empty fields are null.
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*/
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export async function extractInvoiceFields(
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input: ExtractionInput
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): Promise<ExtractionOutput> {
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if (!SUPPORTED_MEDIA_TYPES.has(input.mimeType)) {
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return { data: emptyResult(), rawText: null }
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}
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if (!process.env.AWS_ACCESS_KEY_ID || !process.env.AWS_SECRET_ACCESS_KEY) {
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log.warn('AWS Bedrock credentials missing: returning empty extraction', {
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file_name_hash: createHash('sha256').update(input.fileName).digest('hex').slice(0, 12),
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})
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return { data: emptyResult(), rawText: null }
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}
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const client = new AnthropicBedrock({
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awsRegion: process.env.AWS_REGION || 'eu-north-1',
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awsAccessKey: process.env.AWS_ACCESS_KEY_ID,
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awsSecretKey: process.env.AWS_SECRET_ACCESS_KEY,
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})
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let rawText: string | null = null
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try {
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// SYSTEM_PROMPT is byte-stable per deploy and ~3.5 KB: marking it as
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// ephemeral lets Bedrock reuse the prompt-cache on rapid sequential
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// extractions (e.g. a user uploading a stack of receipts within minutes).
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// Bedrock supports `{ type: 'ephemeral' }` with the default short TTL;
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// the 1h TTL from the agent-native API plan (item 10) requires the direct
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// Anthropic API rather than Bedrock and is out of scope here.
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const resp = await client.messages.create({
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model: MODEL,
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max_tokens: MAX_TOKENS,
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system: [{ type: 'text', text: SYSTEM_PROMPT, cache_control: { type: 'ephemeral' } }],
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messages: [{ role: 'user', content: buildContent(input) }],
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})
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rawText = resp.content
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.flatMap((b) => (b.type === 'text' ? [b.text] : []))
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.join('')
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.trim()
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// Observability for the prompt-cache hit ratio. The agent-native plan
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// targets cache_read_input_tokens / total_input_tokens ≥ 0.85 in steady
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// state; logging here makes that measurable without a separate dashboard.
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const usage = resp.usage as
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| {
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input_tokens?: number
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output_tokens?: number
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cache_creation_input_tokens?: number
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cache_read_input_tokens?: number
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}
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| undefined
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if (usage) {
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// Raw fileName can constitute personal data (e.g. "faktura_Sven_Andersson.pdf").
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// Log a short hash so the operator can correlate without exposing PII
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// to the log destination (GDPR Art. 5(1)(f)).
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const fileNameHash = createHash('sha256').update(input.fileName).digest('hex').slice(0, 12)
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log.info('ai_extraction_usage', {
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file_name_hash: fileNameHash,
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mime_type: input.mimeType,
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input_tokens: usage.input_tokens ?? null,
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output_tokens: usage.output_tokens ?? null,
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cache_creation_input_tokens: usage.cache_creation_input_tokens ?? null,
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cache_read_input_tokens: usage.cache_read_input_tokens ?? null,
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})
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}
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const parsed = JSON.parse(rawText)
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const validated = ExtractionSchema.parse(parsed)
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return {
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// accountSuggestion is null at this point, enforced by the schema's
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// .transform, so no post-validation coercion is needed.
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data: { ...validated, confidence: 1 },
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rawText,
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}
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} catch (err) {
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log.warn('AI extraction failed', {
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file_name_hash: createHash('sha256').update(input.fileName).digest('hex').slice(0, 12),
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mimeType: input.mimeType,
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error: err instanceof Error ? err.message : String(err),
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hasRawText: rawText != null,
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})
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return { data: emptyResult(), rawText }
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}
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}
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