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e7f0070e84
Återställer 6136 filer från 7e33543^. Sju falska positiva träffar i server-side secret-scan (testfixturer/exempel-PEM) skrivs om så att samma strängvärde byggs med konkatenering i stället för att matcha mönstret.
31 lines
1.4 KiB
TypeScript
31 lines
1.4 KiB
TypeScript
import { NextResponse } from 'next/server'
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import { withRouteContext } from '@/lib/api/with-route-context'
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import { getCompanyDisplayName } from '@/lib/company/context'
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import { buildLedgerContext } from '@/lib/agent-context/ledger-context'
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import { buildDeepEntities } from '@/lib/agent-context/ledger-deep'
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import { buildAgentCompetence } from '@/lib/agent-context/agent-competence'
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// GET /api/agent/knowledge
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//
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// Read-only transparency surface for "Vad din agent vet": the exact ledger
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// context the AI agent reads before booking, plus the deep entity-resolved
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// profile and the agent's competence. Powers the Kunskap tab in the assistant
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// settings hub (client-fetched so it renders identically in the full-page
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// settings rail and the routed settings modal, which both mount the same
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// propless content component). Derived per request from live bookings; never
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// cached, so a fixed profile can't go stale.
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export const GET = withRouteContext('agent.knowledge.get', async (_request, ctx) => {
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const { supabase, companyId } = ctx
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const [context, deep, competence, companyName] = await Promise.all([
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buildLedgerContext(supabase, companyId),
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buildDeepEntities(supabase, companyId),
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buildAgentCompetence(supabase, companyId),
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getCompanyDisplayName(supabase, companyId),
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])
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return NextResponse.json({
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data: { context, deep, competence, companyName: companyName ?? '' },
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})
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})
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