fix: previous commit redeployed

src/lib/ai/storefrontGroq.ts

@@ -7,16 +7,6 @@ type HistoryMessage = {
     content: string
 }
 
-/** Customer is asking whether the store carries / sells a product (not policy/shipping). */
-function isAskingAboutProductAvailability(query: string) {
-    return /\b(do you have|have any|have you got|carry|carrying|sell|selling|in stock|out of stock|stock|available|got any|do you sell|do you carry|looking for|can i (get|buy)|can you get)\b/i.test(
-        query.trim()
-    )
-}
-
-const NO_EVIDENCE_PRODUCT_REPLY =
-    "I do not see that item in this store’s catalog or FAQs I have access to, so I can’t confirm we carry it. If you have another product name or category from this shop, I can check again."
-
 export async function generateStorefrontReply(params: {
     storeId: string
     query: string
@@ -27,34 +17,6 @@ export async function generateStorefrontReply(params: {
     const { storeId, query, visitorId, history } = params
 
     const retrieval = await getBlendedStorefrontContext({ storeId, query })
-
-    // Hard guard: do not invent inventory. If they ask “do you have X?” and we have no product row and no KB/FAQ hit, answer without the LLM.
-    if (
-        isAskingAboutProductAvailability(query) &&
-        retrieval.productCount === 0 &&
-        retrieval.kbCount === 0
-    ) {
-        logger.info("[STOREFRONT_AI_REPLY]", {
-            storeId,
-            visitorId,
-            queryLength: query.length,
-            kbHits: retrieval.kbCount,
-            productHits: retrieval.productCount,
-            latencyMs: Date.now() - startedAt,
-            fallbackUsed: true,
-            groundedSkipLlm: true,
-            error: null,
-        })
-        return {
-            content: NO_EVIDENCE_PRODUCT_REPLY,
-            meta: {
-                kbHits: retrieval.kbCount,
-                productHits: retrieval.productCount,
-                fallbackUsed: true,
-            },
-        }
-    }
-
     const contextLines = retrieval.items.map(
         (item, idx) => `[${idx + 1}] (${item.source}) ${item.title}: ${item.content}`
     )
@@ -68,13 +30,12 @@ export async function generateStorefrontReply(params: {
     })) as GroqChatMessage[]
 
     const system = [
-        "You are the JUNO storefront assistant. You ONLY answer using the Context block below (products, FAQs, knowledge chunks).",
-        "If the Context does not clearly support an answer, say you cannot find it in the catalog or docs you have—do NOT guess.",
-        "Never claim a product exists, is in stock, or that the store carries a category unless a Context line explicitly supports it.",
-        "Never invent website layout: no tabs, menus, dropdowns, or navigation paths unless they appear verbatim in Context.",
-        "Never invent URLs or deep links unless they appear in Context.",
-        "Do not affirm availability with “yes” unless a PRODUCT line or FAQ/KB line in Context clearly covers what the customer asked.",
-        "Be concise and friendly. Plain text only.",
+        "You are JUNO storefront assistant for an ecommerce store.",
+        "Use the provided context first (products, FAQs, knowledge).",
+        "If context is insufficient, ask one concise clarifying question.",
+        "Do not invent exact prices, stock or policy details that are not present.",
+        "Keep responses concise, friendly, and sales-supportive.",
+        "Return plain text only.",
     ].join(" ")
 
     const user = [
@@ -92,13 +53,13 @@ export async function generateStorefrontReply(params: {
     ]
 
     const out = await groqChatCompletion(messages, {
-        temperature: 0.1,
+        temperature: 0.2,
         maxTokens: 420,
         timeoutMs: 28_000,
     })
 
     const fallback =
-        "I don’t have enough in the store’s catalog or FAQ context to answer that accurately. What product name or topic from this shop should I look for?"
+        "Thanks for your message. I do not have enough details right now. Could you share the product name or what exactly you want to know?"
 
     const content = (out.content || "").trim() || fallback
 

src/lib/storefront-chat/retrieval.ts

@@ -7,128 +7,12 @@ type RetrievedContextItem = {
     score: number
 }
 
-/** Strip generic words so "do you have socks?" does not match random KB via "you"/"do". */
-const STOPWORDS = new Set([
-    "the",
-    "a",
-    "an",
-    "and",
-    "or",
-    "but",
-    "in",
-    "on",
-    "at",
-    "to",
-    "for",
-    "of",
-    "as",
-    "by",
-    "with",
-    "from",
-    "is",
-    "are",
-    "was",
-    "were",
-    "be",
-    "been",
-    "being",
-    "have",
-    "has",
-    "had",
-    "do",
-    "does",
-    "did",
-    "will",
-    "would",
-    "could",
-    "should",
-    "may",
-    "might",
-    "must",
-    "can",
-    "this",
-    "that",
-    "these",
-    "those",
-    "i",
-    "me",
-    "my",
-    "you",
-    "your",
-    "it",
-    "its",
-    "we",
-    "our",
-    "they",
-    "them",
-    "their",
-    "what",
-    "which",
-    "who",
-    "whom",
-    "whose",
-    "where",
-    "when",
-    "why",
-    "how",
-    "all",
-    "each",
-    "every",
-    "both",
-    "few",
-    "more",
-    "most",
-    "other",
-    "some",
-    "such",
-    "no",
-    "nor",
-    "not",
-    "only",
-    "own",
-    "same",
-    "so",
-    "than",
-    "too",
-    "very",
-    "just",
-    "any",
-    "there",
-    "here",
-    "about",
-    "into",
-    "through",
-    "during",
-    "before",
-    "after",
-    "above",
-    "below",
-    "between",
-    "under",
-    "again",
-    "further",
-    "then",
-    "once",
-    "please",
-    "thanks",
-    "thank",
-    "hello",
-    "hi",
-    "hey",
-    "yes",
-    "no",
-    "tell",
-    "give",
-    "get",
-    "got",
-])
-
 function tokenize(text: string) {
     return text
         .toLowerCase()
         .split(/[^a-z0-9]+/g)
         .map((t) => t.trim())
-        .filter((t) => t.length >= 2 && !STOPWORDS.has(t))
+        .filter((t) => t.length >= 2)
 }
 
 function scoreByTerms(text: string, terms: string[]) {