import { NextResponse } from 'next/server' import { z } from 'zod' import { withRouteContext } from '@/lib/api/with-route-context' import { validateQuery } from '@/lib/api/validate' // GET /api/agent/conversations // // Query params: // archived: 'true' | 'false' (default 'false') // pinned: 'true' filters to pinned only // intent: 'general.help' (or any intent id), filter // q: case-insensitive substring match on title/context_ref // limit: 1..200, default 50 // // Returns: { data: [{ id, intent_id, context_ref, title, pinned, archived, // last_message_at, created_at }] } // // Ordered: pinned first (within archived bucket), then last_message_at desc. // Used by the /chat sidebar and "resume conversation" UI in the sheet. const ListQuerySchema = z.object({ archived: z.enum(['true', 'false']).default('false'), pinned: z.enum(['true', 'false']).optional(), intent: z.string().min(1).optional(), q: z.string().optional(), limit: z.coerce.number().int().min(1).max(200).default(50), }) export const GET = withRouteContext('agent.conversations.list', async (request, ctx) => { const { supabase, companyId, user, log } = ctx const validated = validateQuery(request, ListQuerySchema, { log, operation: 'agent.conversations.list', }) if (!validated.success) return validated.response const { archived, pinned, intent, limit } = validated.data const q = validated.data.q?.trim() ?? '' let query = supabase .from('agent_conversations') .select( 'id, intent_id, context_ref, title, pinned, archived, last_message_at, last_message_preview, created_at', ) .eq('company_id', companyId) // Conversations are user-scoped within a company — one member must not // see another's (see [id]/route.ts). The RLS policy is company-scoped, // so this filter is what actually prevents cross-member leakage of // titles and last_message_preview snippets. .eq('user_id', user.id) .eq('archived', archived === 'true') if (pinned === 'true') query = query.eq('pinned', true) if (intent) query = query.eq('intent_id', intent) if (q.length > 0) { // Pattern is sanitized via Postgres' percent-handling; ilike accepts the // % wildcard and we only inject the user's substring between them. const safe = q.replace(/[%_]/g, (m) => `\\${m}`) query = query.or(`title.ilike.%${safe}%,context_ref.ilike.%${safe}%`) } // Sort: pinned first, then most recent message. query = query .order('pinned', { ascending: false }) .order('last_message_at', { ascending: false, nullsFirst: false }) .limit(limit) const { data, error } = await query if (error) throw error return NextResponse.json({ data: data ?? [] }) })