prompt.content: <|im_start|>system
  You are a helpful assistant that is capable of understanding and predicting customer shopping behaviors on Amazon. You first think about the reasoning process in the mind and then predict the customer actions and action argument. The reasoning process and the predicted action and action argument are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think>reasoning process here</think><answer>predicted action and action argument here</answer>.
  <|im_end|>
  <|im_start|>user
  You are given a customer behavior trajectory on Amazon. This trajectory include the customer long-term information (enclosed between <|memory_start|> and <|memory_end|>), previous actions the customer has taken with timestamps (enclosed between <|action_start|> and <|action_end|>), and current observations describing what the customer sees on Amazon (e.g., a search results page, a product detail page) (enclosed between <|observation_start|> and <|observation_end|>). 
  Now your task is to predict the immediate next action and action argument (i.e., input_text, product_asin, or click_type) of this shopper by analyzing shopper shopping behaviors. The available action space and action argument space are provided between <|actionspace_start|> and <|actionspace_end|> to help guide your prediction. Please first analyze the customer's behavior patterns within the  <think> </think> section, then provide your prediction within the <answer> </answer> section, ensuring your prediction falls within the specified action and argument spaces. 
  
  <|actionspace_start|>
  Available actions are represented in JSON format. There are four primary action types with their corresponding action arguments:
  1. input:
  Action: Type text into an input field to search for a specific product. 
  Action Argument: the input_text is the specific text entered by the customer.
  {
  "timestamp": "timestamp",
  "action": "input",
  "action_argument": "input_text",
  }
  
  2. click:
  Action: Click on a UI interface button or clickable element on the Amazon website.
  Action Argument: The clickable_name is one of the UI interface buttons or clickable elements including "review", "search", "product_option", "other", "nav_bar", "quantity", "page_related", "suggested_term", "cart_side_bar", "cart_page_select", and "filter". Select one of these buttons or clickable elements as action argument.
  {
  "timestamp": "timestamp",
  "action": "click",
  "action_argument": "clickable_name",
  }
  
  3. click_product:
  Action: Click on product links or product images.
  Action Argument: the Amazon Standard Identification Number (i.e., product_asin) of the clicked product.
  {
  "timestamp": "timestamp",
  "action": "click_product",
  "action_argument": "product_asin",
  }
  
  4. purchase:
  Action: indicate intent to purchase by clicking on any purchase-related button. This includes clicking "Add to Cart", "Buy Now", "Set Subscription", or "Checkout" buttons for specific products. 
  Action Argument: the Amazon Standard Identification Number (i.e., product_asin) of the product being purchased.
  {
  "timestamp": "timestamp",
  "action": "purchase",
  "action_argument": "product_asin",
  }
  <|actionspace_end|>
  
  <|memory_start|>
  {"timestamp": "2025-03-27T00:56:43.323Z", "action": "click", "action_argument": "cart_side_bar"}
  {"timestamp": "2025-03-27T00:56:48.045Z", "action": "click", "action_argument": "quantity"}
  {"timestamp": "2025-03-27T00:56:50.352Z", "action": "purchase", "action_argument": "B0CZB9Z477, B0798DVT68"}
  {"timestamp": "2025-04-01T02:11:25.066Z", "action": "click", "action_argument": "nav_bar"}
  {"timestamp": "2025-04-01T02:11:29.324Z", "action": "click", "action_argument": "quantity"}
  {"timestamp": "2025-04-01T02:11:31.873Z", "action": "click", "action_argument": "quantity"}
  {"timestamp": "2025-04-01T02:11:35.429Z", "action": "click_product", "action_argument": "B0CKV7B49Z"}
  {"timestamp": "2025-04-01T02:11:53.601Z", "action": "click", "action_argument": "other"}
  {"timestamp": "2025-04-01T02:11:57.194Z", "action": "purchase", "action_argument": "B0CKV7B49Z"}
  {"timestamp": "2025-04-01T23:13:36.525Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-01T23:14:06.270Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-01T23:14:37.328Z", "action": "click_product", "action_argument": "B0CFPJYX7P"}
  {"timestamp": "2025-04-01T23:14:42.390Z", "action": "click", "action_argument": "product_option"}
  {"timestamp": "2025-04-01T23:14:45.023Z", "action": "click", "action_argument": "product_option"}
  {"timestamp": "2025-04-01T23:14:50.458Z", "action": "click", "action_argument": "product_option"}
  {"timestamp": "2025-04-01T23:15:49.203Z", "action": "click", "action_argument": "other"}
  {"timestamp": "2025-04-01T23:16:00.251Z", "action": "click", "action_argument": "nav_bar"}
  {"timestamp": "2025-04-01T23:16:16.063Z", "action": "click", "action_argument": "nav_bar"}
  {"timestamp": "2025-04-01T23:16:18.681Z", "action": "click", "action_argument": "nav_bar"}
  {"timestamp": "2025-04-01T23:16:20.149Z", "action": "click", "action_argument": "nav_bar"}
  {"timestamp": "2025-04-01T23:16:21.524Z", "action": "click", "action_argument": "nav_bar"}
  {"timestamp": "2025-04-01T23:17:29.065Z", "action": "click", "action_argument": "nav_bar"}
  {"timestamp": "2025-04-03T22:16:30.054Z", "action": "click", "action_argument": "other"}
  {"timestamp": "2025-04-03T22:16:31.472Z", "action": "click", "action_argument": "other"}
  {"timestamp": "2025-04-03T23:13:36.068Z", "action": "click_product", "action_argument": "B0BNQFCPZY"}
  {"timestamp": "2025-04-03T23:28:05.133Z", "action": "purchase", "action_argument": "B0BNQFCPZY"}
  {"timestamp": "2025-04-10T17:07:04.811Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-10T17:08:02.346Z", "action": "input", "action_argument": "kindle"}
  {"timestamp": "2025-04-10T17:08:02.478Z", "action": "click", "action_argument": "suggested_term"}
  {"timestamp": "2025-04-10T17:08:09.252Z", "action": "click_product", "action_argument": "B0CFPJYX7P"}
  {"timestamp": "2025-04-11T18:58:26.008Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-11T18:58:28.581Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-11T18:58:38.042Z", "action": "click_product", "action_argument": "B0CFPJYX7P"}
  {"timestamp": "2025-04-11T19:20:31.865Z", "action": "click", "action_argument": "search"}
  <|memory_end|>
  
  <|action_start|>
  {"timestamp": "2025-04-23T01:03:30.223Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-23T01:03:40.093Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-23T01:04:34.600Z", "action": "click_product", "action_argument": "B083C76GRS"}
  <|action_end|>
  
  <|observation_start|>
  Your context will be the JSON string containing page metadata of the Amazon page you are looking at. This Amazon page is the context you observed after performing your last action.
  "search_term": [{"term": "dry paper dryer"}],
  "cart_items": [{"title": "Pattern Language for Game Design", "asin": "0367367726", "price": "$55.99", "quantity": "1"}],
  "product_details": [{"asin": "B083C76GRS"},
  {"title": "Downy Dryer Sheets Laundry Fabric Softener, Cool Cotton, 240 Count"},
  {"price": "$9.83"},
  {"bullet_list": "Keep your laundry extra soft and static-free with Downy fabric softener dryer sheets The crisp scent of cool cotton smells like a clean, refreshing breeze Fabric softener sheets fight static and soften fabrics with a light air of freshness Safe for all fabrics and dryers: simply toss, dry, and enjoy Pair with Downy Cool cotton liquid fabric softener for a fresher laundry routine"}],
  "product_quantity": [{"quantity": "1"},
  {"quantity": "1"}],
  "product_options": [{"Size": "240 Count (Pack of 1)"},
  {"Scent": "Cool Cotton"}],
  "promotion_items": [{"title": "Downy Infusions Mega Dryer Sheets, Laundry Fabric Softener, CALM, Lavender and Vanilla Bean, 180 Count (3 box of 60 sheets)", "asin": "B0C8X7M477", "price": "$13.83", "quantity": ""},
  {"title": "Seventh Generation Dryer Sheets Fabric Softener Fresh Lavender Scent with 100% Essential Oils and Botanical Ingredients 80 Sheets (Pack of 4)", "asin": "B092XYBBDX", "price": "$20.97", "quantity": ""},
  {"title": "Bounce Free & Gentle Dryer Sheets, 240 Sheets, Unscented Fabric Softener Sheets, Hypoallergenic and Dermatologist Tested", "asin": "B003CP14R8", "price": "$9.96", "quantity": ""},
  {"title": "all Fabric Softener Dryer Sheets for Sensitive Skin, Free Clear, 195 Count", "asin": "B0CB97R25C", "price": "$8.49", "quantity": ""},
  {"title": "Earth Breeze Laundry Detergent Sheets Fresh Scent - 60 Loads Eco Liquidless Soap - Travel-Friendly for Hot & Cold Cycles, Tackles Tough Stains & Odors - Gentle on Skin, 30 Ct", "asin": "B08GF7YGCD", "price": "$13.99", "quantity": ""},
  {"title": "Laundry Sauce - Laundry Dryer Sheets (Italian Bergamot), Luxury Fragrance, Contains Essential Oils, Softens Fabric, Removes Static Cling, Eco-Friendly Packaging, Travel Friendly, 69 Count", "asin": "B0CWYKWC7J", "price": "$25.00", "quantity": ""},
  {"title": "The Clean People Fabric Softener Sheets - Dryer Sheets - Softens & Removes Static Cling - Vegan Laundry Softener, Essential Oils - Lavender 240 Pack", "asin": "B0DKQK3QL1", "price": "$26.99", "quantity": ""},
  {"title": "Laundry Sauce - Laundry Dryer Sheets (Italian Bergamot), Luxury Fragrance, Contains Essential Oils, Softens Fabric, Removes Static Cling, Eco-Friendly Packaging, Travel Friendly, 69 Count", "asin": "B0CWYKWC7J", "price": "$25.00", "quantity": ""},
  {"title": "Bounce Pet Hair and Lint Guard Mega Fabric Softener Dryer Sheets with 3X Pet Hair Fighters, Fresh Scent, 180 Count, Bounce Dryer Sheets, Laundry Sheets, Mega Sheet", "asin": "B0B7CQKP5Z", "price": "$13.80", "quantity": ""},
  {"title": "Bounce Mega Dryer Sheets, Paradise Blossom, 180 Count, Bounce Dryer Sheets", "asin": "B0B7CTQMKM", "price": "$13.83", "quantity": ""},
  {"title": "Downy Infusions Mega Dryer Sheets, Laundry Fabric Softener, CALM, Lavender and Vanilla Bean, 180 Count (3 box of 60 sheets)", "asin": "B0C8X7M477", "price": "$13.83", "quantity": ""},
  {"title": "Bounce Free & Gentle Dryer Sheets, 240 Sheets, Unscented Fabric Softener Sheets, Hypoallergenic and Dermatologist Tested", "asin": "B003CP14R8", "price": "$9.96", "quantity": ""},
  {"title": "all Fabric Softener Dryer Sheets for Sensitive Skin, Free Clear, 195 Count", "asin": "B0CB97R25C", "price": "$8.49", "quantity": ""},
  {"title": "Seventh Generation Dryer Sheets Fabric Softener Fresh Lavender Scent with 100% Essential Oils and Botanical Ingredients 80 Sheets (Pack of 4)", "asin": "B092XYBBDX", "price": "$20.97", "quantity": ""},
  {"title": "Downy In-Wash Laundry Scent Booster Beads, Cool Cotton, 24 oz", "asin": "B0CCGKY4MP", "price": "$15.99", "quantity": ""},
  {"title": "Tide PODS laundry detergent pacs, 3-in-1 Stain Remover, Odor Fighter, Color Protector, 76 Count, HE compatible, Spring Meadow Scent", "asin": "B0BJMNHLXZ", "price": "$19.94", "quantity": ""},
  {"title": "Downy Fabric Softener Liquid, Cool Cotton Scent, 111 fl oz, 150 Loads", "asin": "B0CCK3QYSH", "price": "$10.97", "quantity": ""},
  {"title": "Tide PODS Free & Gentle Laundry Detergent Soap Pacs, 112 Count, Tide PODS Laundry Detergent", "asin": "B0BTKKJLLS", "price": "$27.24", "quantity": ""},
  {"title": "Downy Fabric Softener Liquid, Cool Cotton Scent, 140 fl oz, 190 Loads, Downy Fabric Softener, Liquid Fabric Softener", "asin": "B0C8X2Z37V", "price": "$12.97", "quantity": ""},
  {"title": "Downy In-Wash Laundry Scent Booster Beads, Cool Cotton, 18.2 oz", "asin": "B0CCK34GLH", "price": "$15.84", "quantity": ""}],
  "comparison_items": [{"title": "Downy Dryer Sheets Laundry Fabric Softener, Cool Cotton, 240 Count", "asin": "B083C76GRS", "price": "$9.83"},
  {"title": "Downy Infusions Mega Dryer Sheets, Laundry Fabric Softener, CALM, Lavender and Vanilla Bean, 180 Count (3 box of 60 sheets)", "asin": "B0C8X7M477", "price": "$13.83"},
  {"title": "Downy Light Mega Dryer Sheets, Fabric Softener Dryer Sheets, Ocean Mist, 180 Count", "asin": "B0C8X76GWZ", "price": "$23.49"},
  {"title": "Snuggle Fabric Softener Dryer Sheets Lavender Vanilla Orchid 230ct", "asin": "B0CY63TM3C", "price": "$12.29"},
  {"title": "Arm & Hammer Fabric Softener Sheets, Purifying Waters, 200 ct", "asin": "B01M4PLF4H", "price": "$12.99"},
  {"title": "Downy Rinse & Refresh Laundry Odor Remover And Fabric Softener, Cool Cotton, 48 Fl Oz, HE Compatible Laundry Sanitizer, Safe On All Fabrics, Downy Fabric Softener, Liquid Fabric Softener", "asin": "B0B83T9H8C", "price": "$12.97"}]
  <|observation_end|>
  
  # Output Format
  Please provide your final answer in JSON format within <answer></answer> tags using the following schema (Note that the thinking process should be within 250 words and give enough output space for final answer):
  "<answer>
  {
  "timestamp": "2025-04-23T01:05:19.119Z", // the timestamp when this action occurs.
  "action": "string", // select one plausible action from: input, click_product, purchase, or click.
  "acion_argument": "string", // select appropriate value based on action type: input_text, product_asin, clickable_name.
  }
  </answer>"
  
  <|im_end|>
  <|im_start|>assistant
  <think>
  
prompt.role: user
question: <|im_start|>system
  You are a helpful assistant that is capable of understanding and predicting customer shopping behaviors on Amazon. You first think about the reasoning process in the mind and then predict the customer actions and action argument. The reasoning process and the predicted action and action argument are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think>reasoning process here</think><answer>predicted action and action argument here</answer>.
  <|im_end|>
  <|im_start|>user
  You are given a customer behavior trajectory on Amazon. This trajectory include the customer long-term information (enclosed between <|memory_start|> and <|memory_end|>), previous actions the customer has taken with timestamps (enclosed between <|action_start|> and <|action_end|>), and current observations describing what the customer sees on Amazon (e.g., a search results page, a product detail page) (enclosed between <|observation_start|> and <|observation_end|>). 
  Now your task is to predict the immediate next action and action argument (i.e., input_text, product_asin, or click_type) of this shopper by analyzing shopper shopping behaviors. The available action space and action argument space are provided between <|actionspace_start|> and <|actionspace_end|> to help guide your prediction. Please first analyze the customer's behavior patterns within the  <think> </think> section, then provide your prediction within the <answer> </answer> section, ensuring your prediction falls within the specified action and argument spaces. 
  
  <|actionspace_start|>
  Available actions are represented in JSON format. There are four primary action types with their corresponding action arguments:
  1. input:
  Action: Type text into an input field to search for a specific product. 
  Action Argument: the input_text is the specific text entered by the customer.
  {
  "timestamp": "timestamp",
  "action": "input",
  "action_argument": "input_text",
  }
  
  2. click:
  Action: Click on a UI interface button or clickable element on the Amazon website.
  Action Argument: The clickable_name is one of the UI interface buttons or clickable elements including "review", "search", "product_option", "other", "nav_bar", "quantity", "page_related", "suggested_term", "cart_side_bar", "cart_page_select", and "filter". Select one of these buttons or clickable elements as action argument.
  {
  "timestamp": "timestamp",
  "action": "click",
  "action_argument": "clickable_name",
  }
  
  3. click_product:
  Action: Click on product links or product images.
  Action Argument: the Amazon Standard Identification Number (i.e., product_asin) of the clicked product.
  {
  "timestamp": "timestamp",
  "action": "click_product",
  "action_argument": "product_asin",
  }
  
  4. purchase:
  Action: indicate intent to purchase by clicking on any purchase-related button. This includes clicking "Add to Cart", "Buy Now", "Set Subscription", or "Checkout" buttons for specific products. 
  Action Argument: the Amazon Standard Identification Number (i.e., product_asin) of the product being purchased.
  {
  "timestamp": "timestamp",
  "action": "purchase",
  "action_argument": "product_asin",
  }
  <|actionspace_end|>
  
  <|memory_start|>
  {"timestamp": "2025-03-27T00:56:43.323Z", "action": "click", "action_argument": "cart_side_bar"}
  {"timestamp": "2025-03-27T00:56:48.045Z", "action": "click", "action_argument": "quantity"}
  {"timestamp": "2025-03-27T00:56:50.352Z", "action": "purchase", "action_argument": "B0CZB9Z477, B0798DVT68"}
  {"timestamp": "2025-04-01T02:11:25.066Z", "action": "click", "action_argument": "nav_bar"}
  {"timestamp": "2025-04-01T02:11:29.324Z", "action": "click", "action_argument": "quantity"}
  {"timestamp": "2025-04-01T02:11:31.873Z", "action": "click", "action_argument": "quantity"}
  {"timestamp": "2025-04-01T02:11:35.429Z", "action": "click_product", "action_argument": "B0CKV7B49Z"}
  {"timestamp": "2025-04-01T02:11:53.601Z", "action": "click", "action_argument": "other"}
  {"timestamp": "2025-04-01T02:11:57.194Z", "action": "purchase", "action_argument": "B0CKV7B49Z"}
  {"timestamp": "2025-04-01T23:13:36.525Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-01T23:14:06.270Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-01T23:14:37.328Z", "action": "click_product", "action_argument": "B0CFPJYX7P"}
  {"timestamp": "2025-04-01T23:14:42.390Z", "action": "click", "action_argument": "product_option"}
  {"timestamp": "2025-04-01T23:14:45.023Z", "action": "click", "action_argument": "product_option"}
  {"timestamp": "2025-04-01T23:14:50.458Z", "action": "click", "action_argument": "product_option"}
  {"timestamp": "2025-04-01T23:15:49.203Z", "action": "click", "action_argument": "other"}
  {"timestamp": "2025-04-01T23:16:00.251Z", "action": "click", "action_argument": "nav_bar"}
  {"timestamp": "2025-04-01T23:16:16.063Z", "action": "click", "action_argument": "nav_bar"}
  {"timestamp": "2025-04-01T23:16:18.681Z", "action": "click", "action_argument": "nav_bar"}
  {"timestamp": "2025-04-01T23:16:20.149Z", "action": "click", "action_argument": "nav_bar"}
  {"timestamp": "2025-04-01T23:16:21.524Z", "action": "click", "action_argument": "nav_bar"}
  {"timestamp": "2025-04-01T23:17:29.065Z", "action": "click", "action_argument": "nav_bar"}
  {"timestamp": "2025-04-03T22:16:30.054Z", "action": "click", "action_argument": "other"}
  {"timestamp": "2025-04-03T22:16:31.472Z", "action": "click", "action_argument": "other"}
  {"timestamp": "2025-04-03T23:13:36.068Z", "action": "click_product", "action_argument": "B0BNQFCPZY"}
  {"timestamp": "2025-04-03T23:28:05.133Z", "action": "purchase", "action_argument": "B0BNQFCPZY"}
  {"timestamp": "2025-04-10T17:07:04.811Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-10T17:08:02.346Z", "action": "input", "action_argument": "kindle"}
  {"timestamp": "2025-04-10T17:08:02.478Z", "action": "click", "action_argument": "suggested_term"}
  {"timestamp": "2025-04-10T17:08:09.252Z", "action": "click_product", "action_argument": "B0CFPJYX7P"}
  {"timestamp": "2025-04-11T18:58:26.008Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-11T18:58:28.581Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-11T18:58:38.042Z", "action": "click_product", "action_argument": "B0CFPJYX7P"}
  {"timestamp": "2025-04-11T19:20:31.865Z", "action": "click", "action_argument": "search"}
  <|memory_end|>
  
  <|action_start|>
  {"timestamp": "2025-04-23T01:03:30.223Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-23T01:03:40.093Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-23T01:04:34.600Z", "action": "click_product", "action_argument": "B083C76GRS"}
  <|action_end|>
  
  <|observation_start|>
  Your context will be the JSON string containing page metadata of the Amazon page you are looking at. This Amazon page is the context you observed after performing your last action.
  "search_term": [{"term": "dry paper dryer"}],
  "cart_items": [{"title": "Pattern Language for Game Design", "asin": "0367367726", "price": "$55.99", "quantity": "1"}],
  "product_details": [{"asin": "B083C76GRS"},
  {"title": "Downy Dryer Sheets Laundry Fabric Softener, Cool Cotton, 240 Count"},
  {"price": "$9.83"},
  {"bullet_list": "Keep your laundry extra soft and static-free with Downy fabric softener dryer sheets The crisp scent of cool cotton smells like a clean, refreshing breeze Fabric softener sheets fight static and soften fabrics with a light air of freshness Safe for all fabrics and dryers: simply toss, dry, and enjoy Pair with Downy Cool cotton liquid fabric softener for a fresher laundry routine"}],
  "product_quantity": [{"quantity": "1"},
  {"quantity": "1"}],
  "product_options": [{"Size": "240 Count (Pack of 1)"},
  {"Scent": "Cool Cotton"}],
  "promotion_items": [{"title": "Downy Infusions Mega Dryer Sheets, Laundry Fabric Softener, CALM, Lavender and Vanilla Bean, 180 Count (3 box of 60 sheets)", "asin": "B0C8X7M477", "price": "$13.83", "quantity": ""},
  {"title": "Seventh Generation Dryer Sheets Fabric Softener Fresh Lavender Scent with 100% Essential Oils and Botanical Ingredients 80 Sheets (Pack of 4)", "asin": "B092XYBBDX", "price": "$20.97", "quantity": ""},
  {"title": "Bounce Free & Gentle Dryer Sheets, 240 Sheets, Unscented Fabric Softener Sheets, Hypoallergenic and Dermatologist Tested", "asin": "B003CP14R8", "price": "$9.96", "quantity": ""},
  {"title": "all Fabric Softener Dryer Sheets for Sensitive Skin, Free Clear, 195 Count", "asin": "B0CB97R25C", "price": "$8.49", "quantity": ""},
  {"title": "Earth Breeze Laundry Detergent Sheets Fresh Scent - 60 Loads Eco Liquidless Soap - Travel-Friendly for Hot & Cold Cycles, Tackles Tough Stains & Odors - Gentle on Skin, 30 Ct", "asin": "B08GF7YGCD", "price": "$13.99", "quantity": ""},
  {"title": "Laundry Sauce - Laundry Dryer Sheets (Italian Bergamot), Luxury Fragrance, Contains Essential Oils, Softens Fabric, Removes Static Cling, Eco-Friendly Packaging, Travel Friendly, 69 Count", "asin": "B0CWYKWC7J", "price": "$25.00", "quantity": ""},
  {"title": "The Clean People Fabric Softener Sheets - Dryer Sheets - Softens & Removes Static Cling - Vegan Laundry Softener, Essential Oils - Lavender 240 Pack", "asin": "B0DKQK3QL1", "price": "$26.99", "quantity": ""},
  {"title": "Laundry Sauce - Laundry Dryer Sheets (Italian Bergamot), Luxury Fragrance, Contains Essential Oils, Softens Fabric, Removes Static Cling, Eco-Friendly Packaging, Travel Friendly, 69 Count", "asin": "B0CWYKWC7J", "price": "$25.00", "quantity": ""},
  {"title": "Bounce Pet Hair and Lint Guard Mega Fabric Softener Dryer Sheets with 3X Pet Hair Fighters, Fresh Scent, 180 Count, Bounce Dryer Sheets, Laundry Sheets, Mega Sheet", "asin": "B0B7CQKP5Z", "price": "$13.80", "quantity": ""},
  {"title": "Bounce Mega Dryer Sheets, Paradise Blossom, 180 Count, Bounce Dryer Sheets", "asin": "B0B7CTQMKM", "price": "$13.83", "quantity": ""},
  {"title": "Downy Infusions Mega Dryer Sheets, Laundry Fabric Softener, CALM, Lavender and Vanilla Bean, 180 Count (3 box of 60 sheets)", "asin": "B0C8X7M477", "price": "$13.83", "quantity": ""},
  {"title": "Bounce Free & Gentle Dryer Sheets, 240 Sheets, Unscented Fabric Softener Sheets, Hypoallergenic and Dermatologist Tested", "asin": "B003CP14R8", "price": "$9.96", "quantity": ""},
  {"title": "all Fabric Softener Dryer Sheets for Sensitive Skin, Free Clear, 195 Count", "asin": "B0CB97R25C", "price": "$8.49", "quantity": ""},
  {"title": "Seventh Generation Dryer Sheets Fabric Softener Fresh Lavender Scent with 100% Essential Oils and Botanical Ingredients 80 Sheets (Pack of 4)", "asin": "B092XYBBDX", "price": "$20.97", "quantity": ""},
  {"title": "Downy In-Wash Laundry Scent Booster Beads, Cool Cotton, 24 oz", "asin": "B0CCGKY4MP", "price": "$15.99", "quantity": ""},
  {"title": "Tide PODS laundry detergent pacs, 3-in-1 Stain Remover, Odor Fighter, Color Protector, 76 Count, HE compatible, Spring Meadow Scent", "asin": "B0BJMNHLXZ", "price": "$19.94", "quantity": ""},
  {"title": "Downy Fabric Softener Liquid, Cool Cotton Scent, 111 fl oz, 150 Loads", "asin": "B0CCK3QYSH", "price": "$10.97", "quantity": ""},
  {"title": "Tide PODS Free & Gentle Laundry Detergent Soap Pacs, 112 Count, Tide PODS Laundry Detergent", "asin": "B0BTKKJLLS", "price": "$27.24", "quantity": ""},
  {"title": "Downy Fabric Softener Liquid, Cool Cotton Scent, 140 fl oz, 190 Loads, Downy Fabric Softener, Liquid Fabric Softener", "asin": "B0C8X2Z37V", "price": "$12.97", "quantity": ""},
  {"title": "Downy In-Wash Laundry Scent Booster Beads, Cool Cotton, 18.2 oz", "asin": "B0CCK34GLH", "price": "$15.84", "quantity": ""}],
  "comparison_items": [{"title": "Downy Dryer Sheets Laundry Fabric Softener, Cool Cotton, 240 Count", "asin": "B083C76GRS", "price": "$9.83"},
  {"title": "Downy Infusions Mega Dryer Sheets, Laundry Fabric Softener, CALM, Lavender and Vanilla Bean, 180 Count (3 box of 60 sheets)", "asin": "B0C8X7M477", "price": "$13.83"},
  {"title": "Downy Light Mega Dryer Sheets, Fabric Softener Dryer Sheets, Ocean Mist, 180 Count", "asin": "B0C8X76GWZ", "price": "$23.49"},
  {"title": "Snuggle Fabric Softener Dryer Sheets Lavender Vanilla Orchid 230ct", "asin": "B0CY63TM3C", "price": "$12.29"},
  {"title": "Arm & Hammer Fabric Softener Sheets, Purifying Waters, 200 ct", "asin": "B01M4PLF4H", "price": "$12.99"},
  {"title": "Downy Rinse & Refresh Laundry Odor Remover And Fabric Softener, Cool Cotton, 48 Fl Oz, HE Compatible Laundry Sanitizer, Safe On All Fabrics, Downy Fabric Softener, Liquid Fabric Softener", "asin": "B0B83T9H8C", "price": "$12.97"}]
  <|observation_end|>
  
  # Output Format
  Please provide your final answer in JSON format within <answer></answer> tags using the following schema (Note that the thinking process should be within 250 words and give enough output space for final answer):
  "<answer>
  {
  "timestamp": "2025-04-23T01:05:19.119Z", // the timestamp when this action occurs.
  "action": "string", // select one plausible action from: input, click_product, purchase, or click.
  "acion_argument": "string", // select appropriate value based on action type: input_text, product_asin, clickable_name.
  }
  </answer>"
  
  <|im_end|>
  <|im_start|>assistant
  <think>
  
extra_info.question: <|im_start|>system
  You are a helpful assistant that is capable of understanding and predicting customer shopping behaviors on Amazon. You first think about the reasoning process in the mind and then predict the customer actions and action argument. The reasoning process and the predicted action and action argument are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think>reasoning process here</think><answer>predicted action and action argument here</answer>.
  <|im_end|>
  <|im_start|>user
  You are given a customer behavior trajectory on Amazon. This trajectory include the customer long-term information (enclosed between <|memory_start|> and <|memory_end|>), previous actions the customer has taken with timestamps (enclosed between <|action_start|> and <|action_end|>), and current observations describing what the customer sees on Amazon (e.g., a search results page, a product detail page) (enclosed between <|observation_start|> and <|observation_end|>). 
  Now your task is to predict the immediate next action and action argument (i.e., input_text, product_asin, or click_type) of this shopper by analyzing shopper shopping behaviors. The available action space and action argument space are provided between <|actionspace_start|> and <|actionspace_end|> to help guide your prediction. Please first analyze the customer's behavior patterns within the  <think> </think> section, then provide your prediction within the <answer> </answer> section, ensuring your prediction falls within the specified action and argument spaces. 
  
  <|actionspace_start|>
  Available actions are represented in JSON format. There are four primary action types with their corresponding action arguments:
  1. input:
  Action: Type text into an input field to search for a specific product. 
  Action Argument: the input_text is the specific text entered by the customer.
  {
  "timestamp": "timestamp",
  "action": "input",
  "action_argument": "input_text",
  }
  
  2. click:
  Action: Click on a UI interface button or clickable element on the Amazon website.
  Action Argument: The clickable_name is one of the UI interface buttons or clickable elements including "review", "search", "product_option", "other", "nav_bar", "quantity", "page_related", "suggested_term", "cart_side_bar", "cart_page_select", and "filter". Select one of these buttons or clickable elements as action argument.
  {
  "timestamp": "timestamp",
  "action": "click",
  "action_argument": "clickable_name",
  }
  
  3. click_product:
  Action: Click on product links or product images.
  Action Argument: the Amazon Standard Identification Number (i.e., product_asin) of the clicked product.
  {
  "timestamp": "timestamp",
  "action": "click_product",
  "action_argument": "product_asin",
  }
  
  4. purchase:
  Action: indicate intent to purchase by clicking on any purchase-related button. This includes clicking "Add to Cart", "Buy Now", "Set Subscription", or "Checkout" buttons for specific products. 
  Action Argument: the Amazon Standard Identification Number (i.e., product_asin) of the product being purchased.
  {
  "timestamp": "timestamp",
  "action": "purchase",
  "action_argument": "product_asin",
  }
  <|actionspace_end|>
  
  <|memory_start|>
  {"timestamp": "2025-03-27T00:56:43.323Z", "action": "click", "action_argument": "cart_side_bar"}
  {"timestamp": "2025-03-27T00:56:48.045Z", "action": "click", "action_argument": "quantity"}
  {"timestamp": "2025-03-27T00:56:50.352Z", "action": "purchase", "action_argument": "B0CZB9Z477, B0798DVT68"}
  {"timestamp": "2025-04-01T02:11:25.066Z", "action": "click", "action_argument": "nav_bar"}
  {"timestamp": "2025-04-01T02:11:29.324Z", "action": "click", "action_argument": "quantity"}
  {"timestamp": "2025-04-01T02:11:31.873Z", "action": "click", "action_argument": "quantity"}
  {"timestamp": "2025-04-01T02:11:35.429Z", "action": "click_product", "action_argument": "B0CKV7B49Z"}
  {"timestamp": "2025-04-01T02:11:53.601Z", "action": "click", "action_argument": "other"}
  {"timestamp": "2025-04-01T02:11:57.194Z", "action": "purchase", "action_argument": "B0CKV7B49Z"}
  {"timestamp": "2025-04-01T23:13:36.525Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-01T23:14:06.270Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-01T23:14:37.328Z", "action": "click_product", "action_argument": "B0CFPJYX7P"}
  {"timestamp": "2025-04-01T23:14:42.390Z", "action": "click", "action_argument": "product_option"}
  {"timestamp": "2025-04-01T23:14:45.023Z", "action": "click", "action_argument": "product_option"}
  {"timestamp": "2025-04-01T23:14:50.458Z", "action": "click", "action_argument": "product_option"}
  {"timestamp": "2025-04-01T23:15:49.203Z", "action": "click", "action_argument": "other"}
  {"timestamp": "2025-04-01T23:16:00.251Z", "action": "click", "action_argument": "nav_bar"}
  {"timestamp": "2025-04-01T23:16:16.063Z", "action": "click", "action_argument": "nav_bar"}
  {"timestamp": "2025-04-01T23:16:18.681Z", "action": "click", "action_argument": "nav_bar"}
  {"timestamp": "2025-04-01T23:16:20.149Z", "action": "click", "action_argument": "nav_bar"}
  {"timestamp": "2025-04-01T23:16:21.524Z", "action": "click", "action_argument": "nav_bar"}
  {"timestamp": "2025-04-01T23:17:29.065Z", "action": "click", "action_argument": "nav_bar"}
  {"timestamp": "2025-04-03T22:16:30.054Z", "action": "click", "action_argument": "other"}
  {"timestamp": "2025-04-03T22:16:31.472Z", "action": "click", "action_argument": "other"}
  {"timestamp": "2025-04-03T23:13:36.068Z", "action": "click_product", "action_argument": "B0BNQFCPZY"}
  {"timestamp": "2025-04-03T23:28:05.133Z", "action": "purchase", "action_argument": "B0BNQFCPZY"}
  {"timestamp": "2025-04-10T17:07:04.811Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-10T17:08:02.346Z", "action": "input", "action_argument": "kindle"}
  {"timestamp": "2025-04-10T17:08:02.478Z", "action": "click", "action_argument": "suggested_term"}
  {"timestamp": "2025-04-10T17:08:09.252Z", "action": "click_product", "action_argument": "B0CFPJYX7P"}
  {"timestamp": "2025-04-11T18:58:26.008Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-11T18:58:28.581Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-11T18:58:38.042Z", "action": "click_product", "action_argument": "B0CFPJYX7P"}
  {"timestamp": "2025-04-11T19:20:31.865Z", "action": "click", "action_argument": "search"}
  <|memory_end|>
  
  <|action_start|>
  {"timestamp": "2025-04-23T01:03:30.223Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-23T01:03:40.093Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-23T01:04:34.600Z", "action": "click_product", "action_argument": "B083C76GRS"}
  <|action_end|>
  
  <|observation_start|>
  Your context will be the JSON string containing page metadata of the Amazon page you are looking at. This Amazon page is the context you observed after performing your last action.
  "search_term": [{"term": "dry paper dryer"}],
  "cart_items": [{"title": "Pattern Language for Game Design", "asin": "0367367726", "price": "$55.99", "quantity": "1"}],
  "product_details": [{"asin": "B083C76GRS"},
  {"title": "Downy Dryer Sheets Laundry Fabric Softener, Cool Cotton, 240 Count"},
  {"price": "$9.83"},
  {"bullet_list": "Keep your laundry extra soft and static-free with Downy fabric softener dryer sheets The crisp scent of cool cotton smells like a clean, refreshing breeze Fabric softener sheets fight static and soften fabrics with a light air of freshness Safe for all fabrics and dryers: simply toss, dry, and enjoy Pair with Downy Cool cotton liquid fabric softener for a fresher laundry routine"}],
  "product_quantity": [{"quantity": "1"},
  {"quantity": "1"}],
  "product_options": [{"Size": "240 Count (Pack of 1)"},
  {"Scent": "Cool Cotton"}],
  "promotion_items": [{"title": "Downy Infusions Mega Dryer Sheets, Laundry Fabric Softener, CALM, Lavender and Vanilla Bean, 180 Count (3 box of 60 sheets)", "asin": "B0C8X7M477", "price": "$13.83", "quantity": ""},
  {"title": "Seventh Generation Dryer Sheets Fabric Softener Fresh Lavender Scent with 100% Essential Oils and Botanical Ingredients 80 Sheets (Pack of 4)", "asin": "B092XYBBDX", "price": "$20.97", "quantity": ""},
  {"title": "Bounce Free & Gentle Dryer Sheets, 240 Sheets, Unscented Fabric Softener Sheets, Hypoallergenic and Dermatologist Tested", "asin": "B003CP14R8", "price": "$9.96", "quantity": ""},
  {"title": "all Fabric Softener Dryer Sheets for Sensitive Skin, Free Clear, 195 Count", "asin": "B0CB97R25C", "price": "$8.49", "quantity": ""},
  {"title": "Earth Breeze Laundry Detergent Sheets Fresh Scent - 60 Loads Eco Liquidless Soap - Travel-Friendly for Hot & Cold Cycles, Tackles Tough Stains & Odors - Gentle on Skin, 30 Ct", "asin": "B08GF7YGCD", "price": "$13.99", "quantity": ""},
  {"title": "Laundry Sauce - Laundry Dryer Sheets (Italian Bergamot), Luxury Fragrance, Contains Essential Oils, Softens Fabric, Removes Static Cling, Eco-Friendly Packaging, Travel Friendly, 69 Count", "asin": "B0CWYKWC7J", "price": "$25.00", "quantity": ""},
  {"title": "The Clean People Fabric Softener Sheets - Dryer Sheets - Softens & Removes Static Cling - Vegan Laundry Softener, Essential Oils - Lavender 240 Pack", "asin": "B0DKQK3QL1", "price": "$26.99", "quantity": ""},
  {"title": "Laundry Sauce - Laundry Dryer Sheets (Italian Bergamot), Luxury Fragrance, Contains Essential Oils, Softens Fabric, Removes Static Cling, Eco-Friendly Packaging, Travel Friendly, 69 Count", "asin": "B0CWYKWC7J", "price": "$25.00", "quantity": ""},
  {"title": "Bounce Pet Hair and Lint Guard Mega Fabric Softener Dryer Sheets with 3X Pet Hair Fighters, Fresh Scent, 180 Count, Bounce Dryer Sheets, Laundry Sheets, Mega Sheet", "asin": "B0B7CQKP5Z", "price": "$13.80", "quantity": ""},
  {"title": "Bounce Mega Dryer Sheets, Paradise Blossom, 180 Count, Bounce Dryer Sheets", "asin": "B0B7CTQMKM", "price": "$13.83", "quantity": ""},
  {"title": "Downy Infusions Mega Dryer Sheets, Laundry Fabric Softener, CALM, Lavender and Vanilla Bean, 180 Count (3 box of 60 sheets)", "asin": "B0C8X7M477", "price": "$13.83", "quantity": ""},
  {"title": "Bounce Free & Gentle Dryer Sheets, 240 Sheets, Unscented Fabric Softener Sheets, Hypoallergenic and Dermatologist Tested", "asin": "B003CP14R8", "price": "$9.96", "quantity": ""},
  {"title": "all Fabric Softener Dryer Sheets for Sensitive Skin, Free Clear, 195 Count", "asin": "B0CB97R25C", "price": "$8.49", "quantity": ""},
  {"title": "Seventh Generation Dryer Sheets Fabric Softener Fresh Lavender Scent with 100% Essential Oils and Botanical Ingredients 80 Sheets (Pack of 4)", "asin": "B092XYBBDX", "price": "$20.97", "quantity": ""},
  {"title": "Downy In-Wash Laundry Scent Booster Beads, Cool Cotton, 24 oz", "asin": "B0CCGKY4MP", "price": "$15.99", "quantity": ""},
  {"title": "Tide PODS laundry detergent pacs, 3-in-1 Stain Remover, Odor Fighter, Color Protector, 76 Count, HE compatible, Spring Meadow Scent", "asin": "B0BJMNHLXZ", "price": "$19.94", "quantity": ""},
  {"title": "Downy Fabric Softener Liquid, Cool Cotton Scent, 111 fl oz, 150 Loads", "asin": "B0CCK3QYSH", "price": "$10.97", "quantity": ""},
  {"title": "Tide PODS Free & Gentle Laundry Detergent Soap Pacs, 112 Count, Tide PODS Laundry Detergent", "asin": "B0BTKKJLLS", "price": "$27.24", "quantity": ""},
  {"title": "Downy Fabric Softener Liquid, Cool Cotton Scent, 140 fl oz, 190 Loads, Downy Fabric Softener, Liquid Fabric Softener", "asin": "B0C8X2Z37V", "price": "$12.97", "quantity": ""},
  {"title": "Downy In-Wash Laundry Scent Booster Beads, Cool Cotton, 18.2 oz", "asin": "B0CCK34GLH", "price": "$15.84", "quantity": ""}],
  "comparison_items": [{"title": "Downy Dryer Sheets Laundry Fabric Softener, Cool Cotton, 240 Count", "asin": "B083C76GRS", "price": "$9.83"},
  {"title": "Downy Infusions Mega Dryer Sheets, Laundry Fabric Softener, CALM, Lavender and Vanilla Bean, 180 Count (3 box of 60 sheets)", "asin": "B0C8X7M477", "price": "$13.83"},
  {"title": "Downy Light Mega Dryer Sheets, Fabric Softener Dryer Sheets, Ocean Mist, 180 Count", "asin": "B0C8X76GWZ", "price": "$23.49"},
  {"title": "Snuggle Fabric Softener Dryer Sheets Lavender Vanilla Orchid 230ct", "asin": "B0CY63TM3C", "price": "$12.29"},
  {"title": "Arm & Hammer Fabric Softener Sheets, Purifying Waters, 200 ct", "asin": "B01M4PLF4H", "price": "$12.99"},
  {"title": "Downy Rinse & Refresh Laundry Odor Remover And Fabric Softener, Cool Cotton, 48 Fl Oz, HE Compatible Laundry Sanitizer, Safe On All Fabrics, Downy Fabric Softener, Liquid Fabric Softener", "asin": "B0B83T9H8C", "price": "$12.97"}]
  <|observation_end|>
  
  # Output Format
  Please provide your final answer in JSON format within <answer></answer> tags using the following schema (Note that the thinking process should be within 250 words and give enough output space for final answer):
  "<answer>
  {
  "timestamp": "2025-04-23T01:05:19.119Z", // the timestamp when this action occurs.
  "action": "string", // select one plausible action from: input, click_product, purchase, or click.
  "acion_argument": "string", // select appropriate value based on action type: input_text, product_asin, clickable_name.
  }
  </answer>"
  
  <|im_end|>
  <|im_start|>assistant
  <think>
  