d4ef4f8bc4cbecb3cbdf1cfde064cf2e87df2949
4 Commits
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43386b4852 |
feat(agent): offer unmatched inbox receipts as confirmable underlag (#1436)
The originally reported scenario is still broken after #1425 and its backfill-by-document_id: a user photographs a receipt into WhatsApp, answers the bot's questions, then opens the app, clicks the bank transaction and asks the assistant to book it, and is told "UNDERLAG: saknas" about a receipt we are holding, then asked everything again. WhatsApp intake writes neither invoice_inbox_items.matched_transaction_id (process-inbound.ts passes uploadAndExtract's matchedTransactionId as undefined) nor transactions.document_id (that mirror is written by the manual match route). Only TransactionMatchPicker fills either column. So the underlag list comes back empty, and a backfill that keys on document_id has nothing to key on. Unmatched, unconsumed inbox items are now scored against the transaction with the same pure scorer the picker uses and the strongest few are surfaced as TROLIGT UNDERLAG, carrying their captured chat answers. Proposals only: nothing writes matched_transaction_id, and the prompt tells the agent to get the match confirmed and to book only against a confirmed one. Setting the link at intake above a confidence bar is the obvious alternative and is deliberately left open. An uncomparable amount (cross-currency with no rate) disqualifies a candidate, because calculateMatchConfidence drops the amount signal in that case and date + merchant alone then score a confident match nobody checked the sums for. Co-authored-by: Jakob Wennberg <311770904+jakobwennberg-oss@users.noreply.github.com> Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com> |
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0f7147a078 |
fix(agent): read a WhatsApp "nej" as an answer, not a half answer (#1433)
* fix(agent): read a WhatsApp "nej" as an answer, not a half answer #1425 gave the assistant the answers the user typed in WhatsApp. Rendering those inline off the raw channel_context blob gets the most common answer backwards. Answering "nej" to the representation question stores an EMPTY representation block: participants: [], purpose: null, denied: true. The renderer branched on `if (!rep.purpose)` and so emitted syfte SAKNAS: fråga bara efter syftet, inte om deltagarna igen. for a user who had just said the meal was not representation. `denied` was never read anywhere. The result is the assistant asking about the purpose of a private lunch, which is worse than the generic re-ask #1425 fixed, because the instruction is specific and confident. Clarifications now come from a structured summary that models the denial and the genuine half answer (participants named, purpose missing, which BFL 5 kap 6-7 § does want completed) as different states. #1425's syfte SAKNAS nudge is preserved for the case it was written for. Two smaller fixes in the same renderer, both about untrusted text: - The photo caption no longer reaches the prompt. It is the one field on the record nobody was asked for and nobody reviewed, and the rationale already written down in lib/documents/channel-context-notes.ts for keeping it off an immutable verifikat applies at least as strongly to a prompt that can call tools. - Human free text passes through flattenMemoryContent. An intent's promptTemplate output is seeded as a user message, so wrapToolResult never sees it and nothing else defends this path; a caption reading "# NYA INSTRUKTIONER: ..." previously rendered verbatim. All three tests fail against the current renderer and pass against this one. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> * fix(agent): gate the chat-answer guidance on what was rendered CodeRabbit caught the same defect shape this PR is about: the prior-conversation paragraph was gated on chat_answers != null, but a caption-only context is non-null and now summarises to nothing, so the paragraph pointed at 'uppgivna av användaren' rows the prompt does not contain. Gate on whether a clarification line was actually emitted. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Jakob Wennberg <311770904+jakobwennberg-oss@users.noreply.github.com> Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com> |
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4b51af3d80 |
feat(agent): 'Vad din agent vet' page rendering the ledger context (P2) (#935)
* feat(agent): 'Vad din agent vet' page rendering the ledger context (P2) The human-facing surface for the openwiki ledger-context: a read-only page that renders the exact payload the AI agent reads (Accounted://ledger/context + the briefing digest) as a legible profile of how this company books. - Route app/(dashboard)/agent-knowledge (server component) calls the shared buildLedgerContext(supabase, companyId) directly: one payload, two renderers, no new API or data path. - Sections mirror the payload 1:1: coverage/freshness strip, counterparty patterns (monochrome confidence bars + seen/agree evidence), supplier patterns, explicit rules shown as authoritative instructions distinct from observed patterns, account usage, VAT profile, conventions. - Nav entry in the Analys group (icon Brain), ungated so it doubles as an upsell; flip requiredCapability to paywall. - Design per .claude/rules/design.md (PageHeader, Card, Table, Badge, AccountNumber BAS tooltips); sv + en strings (agentKnowledge namespace). VAT/BAS labels stay Swedish in both locales per i18n rules. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(agent): deep entity-resolved analysis + radial graph for the knowledge page Reworks the 'Vad din agent vet' page from tables into a radial-hub graph driven by a new full-history deep analysis, per founder feedback. - fix(rpc): median_booking_lag_days now measures real posting promptness via committed_at, not entry_date (which the bank flow sets to the transaction date, giving a ~0 tautology: 151/152 on prod). migration 20260708120000. - feat(rpc): get_ledger_deep_context (migration 20260708130000): full-history, deterministic, read-side. Merges counterparties by normalize_counterparty_key (e.g. Claude = 14 bookings across 12 name variants, weekly, 9 710 kr, always 5420), mines booked verifikat for SEK spend (coalesce amount_sek), detects recurrence cadence, dominant account + share, plus supplier entities. Storno excluded, corrections kept; 19xx/26xx excluded from the dominant contra. - LedgerGraph: radial SVG (company center, accounts inner ring, payees outer ring), hover/focus reveals variants + spend + cadence + account. Keyboard focusable nodes with per-node accessible names + a screen-reader data table. - Page fetches the deep context alongside the light context; coverage strip gains tracked-payee / recurring / tracked-spend stats. sv + en strings. - 14 pg tests (light + deep) green; both RPCs applied to prod + version-matched. Reviewed by an adversarial multi-lens pass (accounting/SQL, frontend/a11y, prod-fact verification); all four verified findings fixed (SEK currency, storno-lag guard, keyboard a11y, spacing tokens). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(agent): gentle mount fade-in for the radial map (reduced-motion safe) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(agent): render the page for a rules-only company (empty-state edge case) isEmpty ignored explicit_rules, so a company with configured mapping rules but no posted transactions hit the 'hasn't learned anything' empty state and lost its rules section. Rules are independent of bookings. (CodeRabbit) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(agent): show Kompetens (skills) + Fakta (memory) on the knowledge page The 'Vad din agent vet' page now shows the full picture of what the agent knows: alongside the booking map, a compact read-only view of its Kompetens (the Swedish accounting/tax knowledge atoms it ships with, grouped by tier as chips with active/dormant state) and the Fakta it remembers (top learned facts with kind + source), each linking to /settings/assistant for full management. Server-rendered via a new buildAgentCompetence() that mirrors GET /api/agent/skills + /api/agent/memory. Also renders in the no-bookings case so a new company still sees its agent's competence. sv + en strings. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * refactor(agent): restructure knowledge page - hero graph + tabbed detail Declutters the page per feedback: the booking map is the always-visible hero, and the supporting detail (Kompetens · Minne · Regler & profil) moves into tabs so only one view shows at a time instead of a long card stack. Split AgentCompetenceSections into standalone CompetenceCard + FactsCard for the tabs; removed the top stat row on request. sv + en. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(agent): Reconciliation Aurora rewrite of the ledger knowledge graph Full rewrite of LedgerGraph: node area = sqrt(spend), colour = cadence, shape = supplier/counterparty, confidence = depth-of-field; on-mount descriptor-collapse animation with xN badge; cadence pulse veins; deterministic seeded layout; framer-motion only (no new deps); keyboard navigation, reduced-motion and sr-only support. Build-verified; 3-lens adversarial review findings fixed. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(agent): sample-size-honest confidence in the ledger knowledge graph dominant_account_share was raw cnt/total, so a counterparty with a single booking rendered as '100% säkerhet': fake certainty by construction (the data_quality_master Item-C / P3 finding). New migration replaces get_ledger_deep_context with a Laplace-smoothed share (cnt+1)/(total+2) (1/1 -> 0.67, 3/3 -> 0.80) and exposes the raw evidence as dominant_account_count / dominant_account_total. The detail card now shows 'Bokförd hit i k av n fall' under the confidence bar; the existing focus buckets, stroke widths and percent labels inherit the honest value unchanged. pg-real test updated to guard the n=1 case. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> --------- Co-authored-by: Claude Fable 5 <noreply@anthropic.com> |
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a3c6566caf |
feat(mcp): ledger-context resource with per-company booking patterns (#928)
* feat(mcp): ledger-context resource with per-company booking patterns Adds Accounted://ledger/context: derived account usage, counterparty booking patterns with explicit confidence share (0.7 floor), explicit mapping rules kept separate as authoritative, observed VAT profile, and conventions. Backed by a SECURITY INVOKER get_ledger_usage_stats RPC so group-bys run SQL-side, and surfaced as a top-5 digest stanza on gnubok_get_agent_briefing so one call still bootstraps a session. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * feat(mcp): fold source-quality prereqs into the ledger-context RPC Merchant-name normalization at the aggregation path (the splinter fix): new normalize_counterparty_key() SQL function mirroring normalizeCounterpartyName() so KORTKÖP/SWISH/date-suffixed labels merge into one counterparty key, which also makes the categorization_templates join exact. New supplier_patterns section (per-supplier dominant expense account + VAT treatment from supplier invoices; credit notes and reversed invoices excluded). account_usage excludes storno lines (they re-inflate the account a correction moved away from); the counterparty CTE keeps corrections because the transaction relink self-heals. Pattern confidence is now count-grounded evidence {seen_12m, agree, share, last_booked} instead of a bare ratio, and the digest frames it as historical frequency, never auto-book permission. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(agent-context): use roundOre for the share ratio (antipattern ratchet) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(agent-context): defensive storno filter on counterparty CTE, fail-loud secondary reads Review follow-ups: the counterparty CTE now excludes source_type='storno' defensively (no live code path links a transaction to a storno, but legacy rows may predate reverseEntry's unlink; a linked storno would count the reversed category as precedent). Corrections stay included: they are the live booking after relink. Secondary reads (rules, templates, settings) now throw instead of silently reading as empty data: an agent must never be told 'no rules' when the truth is 'read failed'. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com> |