<|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 button or clickable element on the Amazon website.
Action Argument: The click_type is one of the buttons or clickable elements including review, product_option, other, nav_bar, quantity, page_related, suggested_term, cart_side_bar, cart_page_select, filter. Select one of these elements as action argument.
{
"timestamp": "timestamp",
"action": "click",
"action_argument": "click_type",
}

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": "2025-04-07T21:34:56.122Z", "action": "input", "action_argument": "coffee"}
{"timestamp": "2025-04-07T21:35:14.082Z", "action": "input", "action_argument": "muji matcah"}
{"timestamp": "2025-04-08T04:35:04.556Z", "action": "input", "action_argument": "swiffer"}
{"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"}
<|memory_end|>

<|action_start|>
{"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"}
<|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": "BEAKEY Makeup Sponge 5 Pcs Set, Latex-Free Boun Boun Beauty Sponge for Blending, Makeup Sponges for Foundation, Liquid, Cream and Powder. Blender for Enhanced Make Up Application", "asin": "B01F36JEXE", "price": "$5.99", "quantity": "1"}
  ],
  "product_details": [
    {
  "asin": "B09VKP2T7Z"
},
    {
  "title": "12 Pieces Professional Makeup Sponge Set,Latex Free Flawless Soft Setting Face Puffs,Multicolor Beauty Sponge Blender Cosmetic Applicator for Powder,Liquid,Facial Makeup Tools"
},
    {
  "price": "$6.99"
},
    {
  "bullet_list": "\u3010Package Includes\u3011You will receive 12 different coloured makeup sponges in 2 different shapes, teardrop and beveled to meet your unlimited needs for base makeup. \u3010High Quality\u3011Our makeup sponge set is made of latex-free multi-color material, soft to the touch, please gently pat to create a gorgeous makeup. \u3010Widely Use\u3011Setting Face Puffs are reusable and suitable for all kinds of makeup, perfect for liquid foundation, BB cream, concealer or any other product. \u3010Dry&Wet\u3011The pore size is even, not easy to eat powder. It will become larger when it meets water, helping your foundation to push out better and smoothly, reducing the phenomenon of dryness and flaking, and creating an even and attractive look! \u3010Considerate Design\u3011The new slant-cut design fits all areas of your face, such as around the eyes and nose. The round shape allows you to apply makeup quickly and evenly over your entire face."
}
  ],
  "product_quantity": [
    {
  "quantity": "1"
}
  ],
  "product_options": [
    {
  "Color": "12Pcs Multi Color"
}
  ],
  "promotion_items": [
    {"title": "AOA Studio Collection makeup Sponge Set Latex Free and High-definition Set of 6 makeup Wonder blender For Powder Cream and Liquid, Super Soft Wonder Beauty Cosmetic", "asin": "B08GSTPT8Y", "price": "$9.95", "quantity": ""},
    {"title": "BEAKEY Makeup Sponge 5 Pcs Set, Latex-Free Boun Boun Beauty Sponge for Blending, Makeup Sponges for Foundation Liquid Cream and Powder. Blender for Enhanced Make Up Application", "asin": "B01F36JEXE", "price": "$5.99", "quantity": ""},
    {"title": "Real Techniques Miracle Complexion Sponge, Makeup Blender for Liquid and Cream Foundation, Full Coverage, Streak-Free Professional Makeup Tool, Cruelty Free, Vegan, Latex Free, 4 Count", "asin": "B01JINOV5E", "price": "$13.79", "quantity": ""},
    {"title": "GWT Makeup Sponge Set, 6 Pcs Latex-Free Beauty Blender Sponges for Foundation, Liqu...", "asin": "B0D9C28SVB", "price": "$6.39", "quantity": ""},
    {"title": "COSTICA Makeup Sponge Set Blender, Beauty Sponge Makeup Blender Flawless for Liquid...", "asin": "B08Y5Z64XK", "price": "$5.09", "quantity": ""},
    {"title": "BEAKEY Super Soft Makeup Sponge Set of 6, Makeup Sponges for Foundation, Liquid, Cream and Powder, Pink Beauty Sponge for Blending, 0 Latex Blender", "asin": "B0B84FD7RC", "price": "$5.99", "quantity": ""},
    {"title": "21 pcs Beauty blender Makeup Sponge Bulk:Blender Sponges 21 Pcs for Liquid, Cream, ...", "asin": "B0D3X35SBF", "price": "$9.99", "quantity": ""}
  ]
}
<|observation_end|>

# Output Format
Please provide your response in JSON format within <answer></answer> tags using the following schema:
"<answer>
{
"timestamp": "2025-04-16T15:11:07.215Z", // the timestamp when this action occurs
"action": "string", // one of four action: input, click, click_product, purchase
"acion_argument": "string", // appropriate value based on action type: input_text, click_type (i.e., select one from review, product_option, other, nav_bar, quantity, page_related, suggested_term, cart_side_bar, cart_page_select, filter), or product_asin
}
</answer>"

<|im_end|>
<|im_start|>assistant
<think>

user
<|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 button or clickable element on the Amazon website.
Action Argument: The click_type is one of the buttons or clickable elements including review, product_option, other, nav_bar, quantity, page_related, suggested_term, cart_side_bar, cart_page_select, filter. Select one of these elements as action argument.
{
"timestamp": "timestamp",
"action": "click",
"action_argument": "click_type",
}

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": "2025-04-07T21:34:56.122Z", "action": "input", "action_argument": "coffee"}
{"timestamp": "2025-04-07T21:35:14.082Z", "action": "input", "action_argument": "muji matcah"}
{"timestamp": "2025-04-08T04:35:04.556Z", "action": "input", "action_argument": "swiffer"}
{"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"}
<|memory_end|>

<|action_start|>
{"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"}
<|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": "BEAKEY Makeup Sponge 5 Pcs Set, Latex-Free Boun Boun Beauty Sponge for Blending, Makeup Sponges for Foundation, Liquid, Cream and Powder. Blender for Enhanced Make Up Application", "asin": "B01F36JEXE", "price": "$5.99", "quantity": "1"}
  ],
  "product_details": [
    {
  "asin": "B09VKP2T7Z"
},
    {
  "title": "12 Pieces Professional Makeup Sponge Set,Latex Free Flawless Soft Setting Face Puffs,Multicolor Beauty Sponge Blender Cosmetic Applicator for Powder,Liquid,Facial Makeup Tools"
},
    {
  "price": "$6.99"
},
    {
  "bullet_list": "\u3010Package Includes\u3011You will receive 12 different coloured makeup sponges in 2 different shapes, teardrop and beveled to meet your unlimited needs for base makeup. \u3010High Quality\u3011Our makeup sponge set is made of latex-free multi-color material, soft to the touch, please gently pat to create a gorgeous makeup. \u3010Widely Use\u3011Setting Face Puffs are reusable and suitable for all kinds of makeup, perfect for liquid foundation, BB cream, concealer or any other product. \u3010Dry&Wet\u3011The pore size is even, not easy to eat powder. It will become larger when it meets water, helping your foundation to push out better and smoothly, reducing the phenomenon of dryness and flaking, and creating an even and attractive look! \u3010Considerate Design\u3011The new slant-cut design fits all areas of your face, such as around the eyes and nose. The round shape allows you to apply makeup quickly and evenly over your entire face."
}
  ],
  "product_quantity": [
    {
  "quantity": "1"
}
  ],
  "product_options": [
    {
  "Color": "12Pcs Multi Color"
}
  ],
  "promotion_items": [
    {"title": "AOA Studio Collection makeup Sponge Set Latex Free and High-definition Set of 6 makeup Wonder blender For Powder Cream and Liquid, Super Soft Wonder Beauty Cosmetic", "asin": "B08GSTPT8Y", "price": "$9.95", "quantity": ""},
    {"title": "BEAKEY Makeup Sponge 5 Pcs Set, Latex-Free Boun Boun Beauty Sponge for Blending, Makeup Sponges for Foundation Liquid Cream and Powder. Blender for Enhanced Make Up Application", "asin": "B01F36JEXE", "price": "$5.99", "quantity": ""},
    {"title": "Real Techniques Miracle Complexion Sponge, Makeup Blender for Liquid and Cream Foundation, Full Coverage, Streak-Free Professional Makeup Tool, Cruelty Free, Vegan, Latex Free, 4 Count", "asin": "B01JINOV5E", "price": "$13.79", "quantity": ""},
    {"title": "GWT Makeup Sponge Set, 6 Pcs Latex-Free Beauty Blender Sponges for Foundation, Liqu...", "asin": "B0D9C28SVB", "price": "$6.39", "quantity": ""},
    {"title": "COSTICA Makeup Sponge Set Blender, Beauty Sponge Makeup Blender Flawless for Liquid...", "asin": "B08Y5Z64XK", "price": "$5.09", "quantity": ""},
    {"title": "BEAKEY Super Soft Makeup Sponge Set of 6, Makeup Sponges for Foundation, Liquid, Cream and Powder, Pink Beauty Sponge for Blending, 0 Latex Blender", "asin": "B0B84FD7RC", "price": "$5.99", "quantity": ""},
    {"title": "21 pcs Beauty blender Makeup Sponge Bulk:Blender Sponges 21 Pcs for Liquid, Cream, ...", "asin": "B0D3X35SBF", "price": "$9.99", "quantity": ""}
  ]
}
<|observation_end|>

# Output Format
Please provide your response in JSON format within <answer></answer> tags using the following schema:
"<answer>
{
"timestamp": "2025-04-16T15:11:07.215Z", // the timestamp when this action occurs
"action": "string", // one of four action: input, click, click_product, purchase
"acion_argument": "string", // appropriate value based on action type: input_text, click_type (i.e., select one from review, product_option, other, nav_bar, quantity, page_related, suggested_term, cart_side_bar, cart_page_select, filter), or product_asin
}
</answer>"

<|im_end|>
<|im_start|>assistant
<think>

<|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 button or clickable element on the Amazon website.
Action Argument: The click_type is one of the buttons or clickable elements including review, product_option, other, nav_bar, quantity, page_related, suggested_term, cart_side_bar, cart_page_select, filter. Select one of these elements as action argument.
{
"timestamp": "timestamp",
"action": "click",
"action_argument": "click_type",
}

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": "2025-04-07T21:34:56.122Z", "action": "input", "action_argument": "coffee"}
{"timestamp": "2025-04-07T21:35:14.082Z", "action": "input", "action_argument": "muji matcah"}
{"timestamp": "2025-04-08T04:35:04.556Z", "action": "input", "action_argument": "swiffer"}
{"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"}
<|memory_end|>

<|action_start|>
{"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"}
<|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": "BEAKEY Makeup Sponge 5 Pcs Set, Latex-Free Boun Boun Beauty Sponge for Blending, Makeup Sponges for Foundation, Liquid, Cream and Powder. Blender for Enhanced Make Up Application", "asin": "B01F36JEXE", "price": "$5.99", "quantity": "1"}
  ],
  "product_details": [
    {
  "asin": "B09VKP2T7Z"
},
    {
  "title": "12 Pieces Professional Makeup Sponge Set,Latex Free Flawless Soft Setting Face Puffs,Multicolor Beauty Sponge Blender Cosmetic Applicator for Powder,Liquid,Facial Makeup Tools"
},
    {
  "price": "$6.99"
},
    {
  "bullet_list": "\u3010Package Includes\u3011You will receive 12 different coloured makeup sponges in 2 different shapes, teardrop and beveled to meet your unlimited needs for base makeup. \u3010High Quality\u3011Our makeup sponge set is made of latex-free multi-color material, soft to the touch, please gently pat to create a gorgeous makeup. \u3010Widely Use\u3011Setting Face Puffs are reusable and suitable for all kinds of makeup, perfect for liquid foundation, BB cream, concealer or any other product. \u3010Dry&Wet\u3011The pore size is even, not easy to eat powder. It will become larger when it meets water, helping your foundation to push out better and smoothly, reducing the phenomenon of dryness and flaking, and creating an even and attractive look! \u3010Considerate Design\u3011The new slant-cut design fits all areas of your face, such as around the eyes and nose. The round shape allows you to apply makeup quickly and evenly over your entire face."
}
  ],
  "product_quantity": [
    {
  "quantity": "1"
}
  ],
  "product_options": [
    {
  "Color": "12Pcs Multi Color"
}
  ],
  "promotion_items": [
    {"title": "AOA Studio Collection makeup Sponge Set Latex Free and High-definition Set of 6 makeup Wonder blender For Powder Cream and Liquid, Super Soft Wonder Beauty Cosmetic", "asin": "B08GSTPT8Y", "price": "$9.95", "quantity": ""},
    {"title": "BEAKEY Makeup Sponge 5 Pcs Set, Latex-Free Boun Boun Beauty Sponge for Blending, Makeup Sponges for Foundation Liquid Cream and Powder. Blender for Enhanced Make Up Application", "asin": "B01F36JEXE", "price": "$5.99", "quantity": ""},
    {"title": "Real Techniques Miracle Complexion Sponge, Makeup Blender for Liquid and Cream Foundation, Full Coverage, Streak-Free Professional Makeup Tool, Cruelty Free, Vegan, Latex Free, 4 Count", "asin": "B01JINOV5E", "price": "$13.79", "quantity": ""},
    {"title": "GWT Makeup Sponge Set, 6 Pcs Latex-Free Beauty Blender Sponges for Foundation, Liqu...", "asin": "B0D9C28SVB", "price": "$6.39", "quantity": ""},
    {"title": "COSTICA Makeup Sponge Set Blender, Beauty Sponge Makeup Blender Flawless for Liquid...", "asin": "B08Y5Z64XK", "price": "$5.09", "quantity": ""},
    {"title": "BEAKEY Super Soft Makeup Sponge Set of 6, Makeup Sponges for Foundation, Liquid, Cream and Powder, Pink Beauty Sponge for Blending, 0 Latex Blender", "asin": "B0B84FD7RC", "price": "$5.99", "quantity": ""},
    {"title": "21 pcs Beauty blender Makeup Sponge Bulk:Blender Sponges 21 Pcs for Liquid, Cream, ...", "asin": "B0D3X35SBF", "price": "$9.99", "quantity": ""}
  ]
}
<|observation_end|>

# Output Format
Please provide your response in JSON format within <answer></answer> tags using the following schema:
"<answer>
{
"timestamp": "2025-04-16T15:11:07.215Z", // the timestamp when this action occurs
"action": "string", // one of four action: input, click, click_product, purchase
"acion_argument": "string", // appropriate value based on action type: input_text, click_type (i.e., select one from review, product_option, other, nav_bar, quantity, page_related, suggested_term, cart_side_bar, cart_page_select, filter), or product_asin
}
</answer>"

<|im_end|>
<|im_start|>assistant
<think>
