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": "2025-04-07T21:31:22.663Z", "action": "input", "action_argument": "coffee"}
  {"timestamp": "2025-04-07T21:31:23.274Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-07T21:31:26.955Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-07T21:34:56.122Z", "action": "input", "action_argument": "coffee"}
  {"timestamp": "2025-04-07T21:35:05.480Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-07T21:35:14.082Z", "action": "input", "action_argument": "muji matcah"}
  {"timestamp": "2025-04-07T21:35:14.392Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-08T04:35:04.556Z", "action": "input", "action_argument": "swiffer"}
  {"timestamp": "2025-04-08T04:35:04.854Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-08T04:35:28.074Z", "action": "click_product", "action_argument": "B00HZ6WFZA"}
  {"timestamp": "2025-04-08T04:35:32.787Z", "action": "purchase", "action_argument": "B00HZ6WFZA"}
  {"timestamp": "2025-04-16T15:10:19.937Z", "action": "click", "action_argument": "nav_bar"}
  {"timestamp": "2025-04-16T15:10:59.353Z", "action": "click", "action_argument": "other"}
  {"timestamp": "2025-04-16T15:11:07.215Z", "action": "purchase", "action_argument": "B09VKP2T7Z"}
  {"timestamp": "2025-04-16T15:11:09.923Z", "action": "click", "action_argument": "nav_bar"}
  {"timestamp": "2025-04-16T15:11:15.377Z", "action": "click", "action_argument": "quantity"}
  {"timestamp": "2025-04-16T15:11:16.518Z", "action": "purchase", "action_argument": "B09VKP2T7Z"}
  {"timestamp": "2025-04-20T23:35:54.798Z", "action": "input", "action_argument": "coffee"}
  {"timestamp": "2025-04-20T23:35:54.971Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-20T23:37:47.230Z", "action": "input", "action_argument": "coffee"}
  {"timestamp": "2025-04-20T23:37:47.258Z", "action": "click", "action_argument": "suggested_term"}
  <|memory_end|>
  
  <|action_start|>
  {"timestamp": "2025-04-27T01:24:31.708Z", "action": "input", "action_argument": "sephora"}
  {"timestamp": "2025-04-27T01:24:31.905Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-27T01:24:33.094Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-27T01:24:33.231Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-27T01:24:33.369Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-27T01:24:37.336Z", "action": "input", "action_argument": "farmacy"}
  {"timestamp": "2025-04-27T01:24:37.383Z", "action": "click", "action_argument": "suggested_term"}
  <|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": ""}],
  "cart_items": [{"title": "Lavazza House Blend Perfetto Ground Coffee 12oz Bag, Medium Roast, Full-bodied, Intensity 3/5, 100% Arabica, Ideal for Drip Brewers, (Pack of 1) - Package May Vary", "asin": "B00PQKRVFG", "price": "$8.67", "quantity": "1"},
  {"title": "Blue Bottle Whole Bean Organic Coffee, Bold, Dark Roast, 12 Ounce bag (Pack of 1)", "asin": "B08FXTKBQ8", "price": "$14.48", "quantity": "1"}],
  "product_details": [{"asin": "B08QTY3JBC"},
  {"title": "Farmacy Makeup Remover Cleansing Balm - Green Clean Waterproof Makeup Remover + Oil Based Cleanser - Gentle Exfoliating Double Cleanser - Melts From Balm to Milky Lather (12ml)"},
  {"price": "$12.00"},
  {"bullet_list": "Award-Winning Cleansing Balm - An all-in-one award-winning face cleanser that is clinically proven to remove 99% of SPF, long-wear foundation, and waterproof mascara while improving texture + hydration after one use. This hydrating cleanser leaves skin silky smooth and comes in a 100% recyclable jar Farm Fresh Ingredients - Sunflower + ginger root oils help to melt the most stubborn makeup (including long-wear) without stripping or drying skin. Moringa extract removes impurities and sunscreen residue, while papaya enzymes naturally lift impurities from pores TSA Approved - This unique makeup melting balm stays a sorbet-like solid in the jar until it makes contact with skin and transforms into a silky oil (then a luxe, milky lather!). Both sizes can travel in your carry-on, no problem How to Use - Using the included spatula, scoop a generous amount of the makeup remover balm and warm in palms of hands. Apply to dry skin while using your fingertips to massage into skin with gentle upward and outward circular motions. Rinse with water to reveal supple, softer skin. Can be used as step 1 of a double cleanse, or alone, AM/PM The Farmacy Beauty Difference - Farmacy's mission is to cultivate conscious beauty and facial skin care products. We don't measure good skincare by how many steps are in your routine. We believe good skin is rooted in healthy ingredients. We focus on farm-sourced, quality ingredients powered by potent actives to create thoughtful formulas"}],
  "product_quantity": [{"quantity": "1"},
  {"quantity": "1"}],
  "product_options": [{"Style": "Green Clean"},
  {"Size": "1.7 Fl Oz (Pack of 1)"}],
  "promotion_items": [{"title": "Farmacy Makeup Remover Cleansing Balm - Clearly Clean Sensitive Skin Makeup Remover + Oil Based Cleanser - Gentle Exfoliating Double Cleanser - Melts From Balm to Milky Lather - Fragrance Free (100ml)", "asin": "B09K1LRLRH", "price": "$36.00", "quantity": ""},
  {"title": "The Face Shop Rice Water Bright Light Facial Cleansing Oil, Daily Makeup Remover, Oil Cleanser, Vegan, Korean Skin Care with Jojoba Oil, Face Pore Cleanser, 150ml", "asin": "B00809ERAM", "price": "$14.99", "quantity": ""},
  {"title": "Clean Skin Club Clean Towels XL\u2122, 100% USDA Biobased Face Towel, Disposable Face Towelette, Eczema Association Accepted, Makeup Remover Dry Wipes, Ultra Soft, 50 Ct, 1 Pack", "asin": "B07PBXXNCY", "price": "$17.95", "quantity": ""},
  {"title": "Then I Met You Living Cleansing Balm, Oil Cleanser for Face & Makeup Remover with Grape Seed, Olive & Seaberry Oil, Vegan Korean Skincare for All-Skin Types (3.17 Oz)", "asin": "B0B5W7KRWL", "price": "$39.00", "quantity": ""},
  {"title": "JUNO & Co. Clean 10 Cleansing Balm 10 Ingredients Makeup Remover 85g / 3.0oz", "asin": "B08Q3CQM7X", "price": "$14.99", "quantity": ""},
  {"title": "HEIMISH All Clean Balm - Cleansing Balm, Waterproof Makeup Remover, Face Cleanser, Oil Based Cleanser, Korean Skincare with Natural Aroma Oil, Vegan, For All Skin Types, 4.0fl.oz/120ml", "asin": "B01CJ639SM", "price": "$16.99", "quantity": ""},
  {"title": "BANILA CO Clean it Zero Original Cleansing Balm Big Size | Korean Makeup Remover, Cleansing Oil, Facial Cleanser for All Skin Types | Vegan | Made with Acerola Berry & Vitamin C (180ml / 6.08 fl.oz)", "asin": "B0CW7G49NV", "price": "$23.20", "quantity": ""}]
  <|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": "2025-04-27T01:25:07.600Z", // 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": "2025-04-07T21:31:22.663Z", "action": "input", "action_argument": "coffee"}
  {"timestamp": "2025-04-07T21:31:23.274Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-07T21:31:26.955Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-07T21:34:56.122Z", "action": "input", "action_argument": "coffee"}
  {"timestamp": "2025-04-07T21:35:05.480Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-07T21:35:14.082Z", "action": "input", "action_argument": "muji matcah"}
  {"timestamp": "2025-04-07T21:35:14.392Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-08T04:35:04.556Z", "action": "input", "action_argument": "swiffer"}
  {"timestamp": "2025-04-08T04:35:04.854Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-08T04:35:28.074Z", "action": "click_product", "action_argument": "B00HZ6WFZA"}
  {"timestamp": "2025-04-08T04:35:32.787Z", "action": "purchase", "action_argument": "B00HZ6WFZA"}
  {"timestamp": "2025-04-16T15:10:19.937Z", "action": "click", "action_argument": "nav_bar"}
  {"timestamp": "2025-04-16T15:10:59.353Z", "action": "click", "action_argument": "other"}
  {"timestamp": "2025-04-16T15:11:07.215Z", "action": "purchase", "action_argument": "B09VKP2T7Z"}
  {"timestamp": "2025-04-16T15:11:09.923Z", "action": "click", "action_argument": "nav_bar"}
  {"timestamp": "2025-04-16T15:11:15.377Z", "action": "click", "action_argument": "quantity"}
  {"timestamp": "2025-04-16T15:11:16.518Z", "action": "purchase", "action_argument": "B09VKP2T7Z"}
  {"timestamp": "2025-04-20T23:35:54.798Z", "action": "input", "action_argument": "coffee"}
  {"timestamp": "2025-04-20T23:35:54.971Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-20T23:37:47.230Z", "action": "input", "action_argument": "coffee"}
  {"timestamp": "2025-04-20T23:37:47.258Z", "action": "click", "action_argument": "suggested_term"}
  <|memory_end|>
  
  <|action_start|>
  {"timestamp": "2025-04-27T01:24:31.708Z", "action": "input", "action_argument": "sephora"}
  {"timestamp": "2025-04-27T01:24:31.905Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-27T01:24:33.094Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-27T01:24:33.231Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-27T01:24:33.369Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-27T01:24:37.336Z", "action": "input", "action_argument": "farmacy"}
  {"timestamp": "2025-04-27T01:24:37.383Z", "action": "click", "action_argument": "suggested_term"}
  <|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": ""}],
  "cart_items": [{"title": "Lavazza House Blend Perfetto Ground Coffee 12oz Bag, Medium Roast, Full-bodied, Intensity 3/5, 100% Arabica, Ideal for Drip Brewers, (Pack of 1) - Package May Vary", "asin": "B00PQKRVFG", "price": "$8.67", "quantity": "1"},
  {"title": "Blue Bottle Whole Bean Organic Coffee, Bold, Dark Roast, 12 Ounce bag (Pack of 1)", "asin": "B08FXTKBQ8", "price": "$14.48", "quantity": "1"}],
  "product_details": [{"asin": "B08QTY3JBC"},
  {"title": "Farmacy Makeup Remover Cleansing Balm - Green Clean Waterproof Makeup Remover + Oil Based Cleanser - Gentle Exfoliating Double Cleanser - Melts From Balm to Milky Lather (12ml)"},
  {"price": "$12.00"},
  {"bullet_list": "Award-Winning Cleansing Balm - An all-in-one award-winning face cleanser that is clinically proven to remove 99% of SPF, long-wear foundation, and waterproof mascara while improving texture + hydration after one use. This hydrating cleanser leaves skin silky smooth and comes in a 100% recyclable jar Farm Fresh Ingredients - Sunflower + ginger root oils help to melt the most stubborn makeup (including long-wear) without stripping or drying skin. Moringa extract removes impurities and sunscreen residue, while papaya enzymes naturally lift impurities from pores TSA Approved - This unique makeup melting balm stays a sorbet-like solid in the jar until it makes contact with skin and transforms into a silky oil (then a luxe, milky lather!). Both sizes can travel in your carry-on, no problem How to Use - Using the included spatula, scoop a generous amount of the makeup remover balm and warm in palms of hands. Apply to dry skin while using your fingertips to massage into skin with gentle upward and outward circular motions. Rinse with water to reveal supple, softer skin. Can be used as step 1 of a double cleanse, or alone, AM/PM The Farmacy Beauty Difference - Farmacy's mission is to cultivate conscious beauty and facial skin care products. We don't measure good skincare by how many steps are in your routine. We believe good skin is rooted in healthy ingredients. We focus on farm-sourced, quality ingredients powered by potent actives to create thoughtful formulas"}],
  "product_quantity": [{"quantity": "1"},
  {"quantity": "1"}],
  "product_options": [{"Style": "Green Clean"},
  {"Size": "1.7 Fl Oz (Pack of 1)"}],
  "promotion_items": [{"title": "Farmacy Makeup Remover Cleansing Balm - Clearly Clean Sensitive Skin Makeup Remover + Oil Based Cleanser - Gentle Exfoliating Double Cleanser - Melts From Balm to Milky Lather - Fragrance Free (100ml)", "asin": "B09K1LRLRH", "price": "$36.00", "quantity": ""},
  {"title": "The Face Shop Rice Water Bright Light Facial Cleansing Oil, Daily Makeup Remover, Oil Cleanser, Vegan, Korean Skin Care with Jojoba Oil, Face Pore Cleanser, 150ml", "asin": "B00809ERAM", "price": "$14.99", "quantity": ""},
  {"title": "Clean Skin Club Clean Towels XL\u2122, 100% USDA Biobased Face Towel, Disposable Face Towelette, Eczema Association Accepted, Makeup Remover Dry Wipes, Ultra Soft, 50 Ct, 1 Pack", "asin": "B07PBXXNCY", "price": "$17.95", "quantity": ""},
  {"title": "Then I Met You Living Cleansing Balm, Oil Cleanser for Face & Makeup Remover with Grape Seed, Olive & Seaberry Oil, Vegan Korean Skincare for All-Skin Types (3.17 Oz)", "asin": "B0B5W7KRWL", "price": "$39.00", "quantity": ""},
  {"title": "JUNO & Co. Clean 10 Cleansing Balm 10 Ingredients Makeup Remover 85g / 3.0oz", "asin": "B08Q3CQM7X", "price": "$14.99", "quantity": ""},
  {"title": "HEIMISH All Clean Balm - Cleansing Balm, Waterproof Makeup Remover, Face Cleanser, Oil Based Cleanser, Korean Skincare with Natural Aroma Oil, Vegan, For All Skin Types, 4.0fl.oz/120ml", "asin": "B01CJ639SM", "price": "$16.99", "quantity": ""},
  {"title": "BANILA CO Clean it Zero Original Cleansing Balm Big Size | Korean Makeup Remover, Cleansing Oil, Facial Cleanser for All Skin Types | Vegan | Made with Acerola Berry & Vitamin C (180ml / 6.08 fl.oz)", "asin": "B0CW7G49NV", "price": "$23.20", "quantity": ""}]
  <|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": "2025-04-27T01:25:07.600Z", // 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": "2025-04-07T21:31:22.663Z", "action": "input", "action_argument": "coffee"}
  {"timestamp": "2025-04-07T21:31:23.274Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-07T21:31:26.955Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-07T21:34:56.122Z", "action": "input", "action_argument": "coffee"}
  {"timestamp": "2025-04-07T21:35:05.480Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-07T21:35:14.082Z", "action": "input", "action_argument": "muji matcah"}
  {"timestamp": "2025-04-07T21:35:14.392Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-08T04:35:04.556Z", "action": "input", "action_argument": "swiffer"}
  {"timestamp": "2025-04-08T04:35:04.854Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-08T04:35:28.074Z", "action": "click_product", "action_argument": "B00HZ6WFZA"}
  {"timestamp": "2025-04-08T04:35:32.787Z", "action": "purchase", "action_argument": "B00HZ6WFZA"}
  {"timestamp": "2025-04-16T15:10:19.937Z", "action": "click", "action_argument": "nav_bar"}
  {"timestamp": "2025-04-16T15:10:59.353Z", "action": "click", "action_argument": "other"}
  {"timestamp": "2025-04-16T15:11:07.215Z", "action": "purchase", "action_argument": "B09VKP2T7Z"}
  {"timestamp": "2025-04-16T15:11:09.923Z", "action": "click", "action_argument": "nav_bar"}
  {"timestamp": "2025-04-16T15:11:15.377Z", "action": "click", "action_argument": "quantity"}
  {"timestamp": "2025-04-16T15:11:16.518Z", "action": "purchase", "action_argument": "B09VKP2T7Z"}
  {"timestamp": "2025-04-20T23:35:54.798Z", "action": "input", "action_argument": "coffee"}
  {"timestamp": "2025-04-20T23:35:54.971Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-20T23:37:47.230Z", "action": "input", "action_argument": "coffee"}
  {"timestamp": "2025-04-20T23:37:47.258Z", "action": "click", "action_argument": "suggested_term"}
  <|memory_end|>
  
  <|action_start|>
  {"timestamp": "2025-04-27T01:24:31.708Z", "action": "input", "action_argument": "sephora"}
  {"timestamp": "2025-04-27T01:24:31.905Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-27T01:24:33.094Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-27T01:24:33.231Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-27T01:24:33.369Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-04-27T01:24:37.336Z", "action": "input", "action_argument": "farmacy"}
  {"timestamp": "2025-04-27T01:24:37.383Z", "action": "click", "action_argument": "suggested_term"}
  <|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": ""}],
  "cart_items": [{"title": "Lavazza House Blend Perfetto Ground Coffee 12oz Bag, Medium Roast, Full-bodied, Intensity 3/5, 100% Arabica, Ideal for Drip Brewers, (Pack of 1) - Package May Vary", "asin": "B00PQKRVFG", "price": "$8.67", "quantity": "1"},
  {"title": "Blue Bottle Whole Bean Organic Coffee, Bold, Dark Roast, 12 Ounce bag (Pack of 1)", "asin": "B08FXTKBQ8", "price": "$14.48", "quantity": "1"}],
  "product_details": [{"asin": "B08QTY3JBC"},
  {"title": "Farmacy Makeup Remover Cleansing Balm - Green Clean Waterproof Makeup Remover + Oil Based Cleanser - Gentle Exfoliating Double Cleanser - Melts From Balm to Milky Lather (12ml)"},
  {"price": "$12.00"},
  {"bullet_list": "Award-Winning Cleansing Balm - An all-in-one award-winning face cleanser that is clinically proven to remove 99% of SPF, long-wear foundation, and waterproof mascara while improving texture + hydration after one use. This hydrating cleanser leaves skin silky smooth and comes in a 100% recyclable jar Farm Fresh Ingredients - Sunflower + ginger root oils help to melt the most stubborn makeup (including long-wear) without stripping or drying skin. Moringa extract removes impurities and sunscreen residue, while papaya enzymes naturally lift impurities from pores TSA Approved - This unique makeup melting balm stays a sorbet-like solid in the jar until it makes contact with skin and transforms into a silky oil (then a luxe, milky lather!). Both sizes can travel in your carry-on, no problem How to Use - Using the included spatula, scoop a generous amount of the makeup remover balm and warm in palms of hands. Apply to dry skin while using your fingertips to massage into skin with gentle upward and outward circular motions. Rinse with water to reveal supple, softer skin. Can be used as step 1 of a double cleanse, or alone, AM/PM The Farmacy Beauty Difference - Farmacy's mission is to cultivate conscious beauty and facial skin care products. We don't measure good skincare by how many steps are in your routine. We believe good skin is rooted in healthy ingredients. We focus on farm-sourced, quality ingredients powered by potent actives to create thoughtful formulas"}],
  "product_quantity": [{"quantity": "1"},
  {"quantity": "1"}],
  "product_options": [{"Style": "Green Clean"},
  {"Size": "1.7 Fl Oz (Pack of 1)"}],
  "promotion_items": [{"title": "Farmacy Makeup Remover Cleansing Balm - Clearly Clean Sensitive Skin Makeup Remover + Oil Based Cleanser - Gentle Exfoliating Double Cleanser - Melts From Balm to Milky Lather - Fragrance Free (100ml)", "asin": "B09K1LRLRH", "price": "$36.00", "quantity": ""},
  {"title": "The Face Shop Rice Water Bright Light Facial Cleansing Oil, Daily Makeup Remover, Oil Cleanser, Vegan, Korean Skin Care with Jojoba Oil, Face Pore Cleanser, 150ml", "asin": "B00809ERAM", "price": "$14.99", "quantity": ""},
  {"title": "Clean Skin Club Clean Towels XL\u2122, 100% USDA Biobased Face Towel, Disposable Face Towelette, Eczema Association Accepted, Makeup Remover Dry Wipes, Ultra Soft, 50 Ct, 1 Pack", "asin": "B07PBXXNCY", "price": "$17.95", "quantity": ""},
  {"title": "Then I Met You Living Cleansing Balm, Oil Cleanser for Face & Makeup Remover with Grape Seed, Olive & Seaberry Oil, Vegan Korean Skincare for All-Skin Types (3.17 Oz)", "asin": "B0B5W7KRWL", "price": "$39.00", "quantity": ""},
  {"title": "JUNO & Co. Clean 10 Cleansing Balm 10 Ingredients Makeup Remover 85g / 3.0oz", "asin": "B08Q3CQM7X", "price": "$14.99", "quantity": ""},
  {"title": "HEIMISH All Clean Balm - Cleansing Balm, Waterproof Makeup Remover, Face Cleanser, Oil Based Cleanser, Korean Skincare with Natural Aroma Oil, Vegan, For All Skin Types, 4.0fl.oz/120ml", "asin": "B01CJ639SM", "price": "$16.99", "quantity": ""},
  {"title": "BANILA CO Clean it Zero Original Cleansing Balm Big Size | Korean Makeup Remover, Cleansing Oil, Facial Cleanser for All Skin Types | Vegan | Made with Acerola Berry & Vitamin C (180ml / 6.08 fl.oz)", "asin": "B0CW7G49NV", "price": "$23.20", "quantity": ""}]
  <|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": "2025-04-27T01:25:07.600Z", // 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>
  