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Discuss what the customer is looking for to understand their shopping needs. Use this tool for ALL shopping conversations: - When the user describes what they're looking for - For follow-up questions and back-and-forth dialogue - When the user gives feedback on previously shown products (e.g., "too expensive", "too big") - When the user asks about products, categories, or features The shopping advisor asks thoughtful questions, searches the product catalog (using AI-powered search and matching), and builds an understanding of the customer's needs. IMPORTANT: When the response includes has_products: true, you MUST immediately call view_product_suggestions with the same session_id to display them visually. The user cannot see products until view_product_suggestions is called — never skip this step. Always start here. Do NOT call view_product_suggestions without discussing needs first, unless the user asks for a very specific product search.

Internal telemetry for the v2 ChatGPT widget. The widget calls this automatically when a shopper opens a product detail, enters fullscreen, or clicks the "Continue at {shop}" handoff — it is NOT a user- or model-initiated action. Records the engagement to chat_events for the v2-vs-v1 engagement dashboard.

Start a new shopping conversation by clearing the current session. Use this when the customer wants to start over with a completely different shopping need, or when switching to a new customer.

View detailed information about ONE specific product: full specifications, dimensions, materials, expert reviews, ratings, pricing across retailers, and personalized fit analysis tailored to the customer's stated needs. Call this tool when the customer asks about a specific product they have already been shown — for "tell me more about that one", "what are the dimensions / materials / specs / reviews", "is it available in X", or buying intent ("I like that one", "I want to buy it"). The product MUST be one from the most recent view_product_suggestions carousel. When a session_id is provided, the detail view also generates personalized insights explaining why this product fits the customer's needs.

View personalized product suggestions in an interactive display. Call this AFTER using discuss_shopping_needs when the response includes has_products: true. Pass the same session_id from the conversation — this ensures the displayed products match exactly what the advisor recommended based on the customer's needs. Only use query parameter for direct product searches without prior conversation (e.g., user says "show me all sofas").