<|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|>
<|memory_end|>

<|action_start|>
{"timestamp": "2025-04-03T00:18:37.474Z", "action": "click", "action_argument": "nav_bar"}
{"timestamp": "2025-04-03T00:18:53.155Z", "action": "click", "action_argument": "other"}
{"timestamp": "2025-04-03T00:19:00.895Z", "action": "click", "action_argument": "suggested_term"}
{"timestamp": "2025-04-03T00:19:14.292Z", "action": "click_product", "action_argument": "B0B99HTD3B"}
{"timestamp": "2025-04-03T00:19:19.328Z", "action": "click", "action_argument": "product_option"}
{"timestamp": "2025-04-03T00:19:46.282Z", "action": "click_product", "action_argument": "B0BVKZ6P9C"}
{"timestamp": "2025-04-03T00:20:31.173Z", "action": "click_product", "action_argument": "B0B99HTD3B"}
{"timestamp": "2025-04-03T00:20:49.411Z", "action": "click", "action_argument": "product_option"}
{"timestamp": "2025-04-03T00:21:11.685Z", "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": "asus ap201 case"
}
  ],
  "product_details": [
    {
  "asin": "B0C5LK9L62"
},
    {
  "title": "ASUS Prime AP201 Black MicroATX Supports 338mm Graphics Cards, 360mm Coolers, Standard ATX PSUs, Tool-Free Side Panels, Tempered Glass Front Panel, USB Type-C"
},
    {
  "price": "$84.99"
},
    {
  "bullet_list": "Optimized for Cooling: With support for 280 and 360mm radiators and up to six fans, the AP201 is primed to deal with the thermal onslaught of high-performance hardware. Industry-Leading Spatial Efficiency: Despite a 33L footprint, the AP201 supports ATX PSUs up to 180 mm long, graphics cards up to 338 mm long, custom liquid cooling, and various storage devices. Tool-Free Panels with Tempered Glass Side: See or work on your machine easily with a simple yet secure clip mechanism allowing side panels to be easily removed and resistant to accidental dislodging. Sizable Cable-Management: The AP201 features an extended motherboard tray with strategically placed cutouts and a 32 mm gap to tuck cables out of sight. Front Panel USB Type-C Support: The front panel of the AP201 features a USB 3.2 Gen 2 Type-C port, so users can enjoy transfer speeds of up to 10 Gbps."
}
  ],
  "product_quantity": [
    {
  "quantity": "1"
},
    {
  "quantity": "1"
}
  ],
  "product_options": [
    {
  "Size": "AP201|Black"
},
    {
  "Style": "SFF Tempered Glass"
},
    {
  "Pattern": "Chassis"
}
  ]
}
<|observation_end|>

# Output Format
Please provide your response in JSON format within <answer></answer> tags using the following schema:
"<answer>
{
"timestamp": "2025-04-03T00:22:04.407Z", // 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|>
<|memory_end|>

<|action_start|>
{"timestamp": "2025-04-03T00:18:37.474Z", "action": "click", "action_argument": "nav_bar"}
{"timestamp": "2025-04-03T00:18:53.155Z", "action": "click", "action_argument": "other"}
{"timestamp": "2025-04-03T00:19:00.895Z", "action": "click", "action_argument": "suggested_term"}
{"timestamp": "2025-04-03T00:19:14.292Z", "action": "click_product", "action_argument": "B0B99HTD3B"}
{"timestamp": "2025-04-03T00:19:19.328Z", "action": "click", "action_argument": "product_option"}
{"timestamp": "2025-04-03T00:19:46.282Z", "action": "click_product", "action_argument": "B0BVKZ6P9C"}
{"timestamp": "2025-04-03T00:20:31.173Z", "action": "click_product", "action_argument": "B0B99HTD3B"}
{"timestamp": "2025-04-03T00:20:49.411Z", "action": "click", "action_argument": "product_option"}
{"timestamp": "2025-04-03T00:21:11.685Z", "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": "asus ap201 case"
}
  ],
  "product_details": [
    {
  "asin": "B0C5LK9L62"
},
    {
  "title": "ASUS Prime AP201 Black MicroATX Supports 338mm Graphics Cards, 360mm Coolers, Standard ATX PSUs, Tool-Free Side Panels, Tempered Glass Front Panel, USB Type-C"
},
    {
  "price": "$84.99"
},
    {
  "bullet_list": "Optimized for Cooling: With support for 280 and 360mm radiators and up to six fans, the AP201 is primed to deal with the thermal onslaught of high-performance hardware. Industry-Leading Spatial Efficiency: Despite a 33L footprint, the AP201 supports ATX PSUs up to 180 mm long, graphics cards up to 338 mm long, custom liquid cooling, and various storage devices. Tool-Free Panels with Tempered Glass Side: See or work on your machine easily with a simple yet secure clip mechanism allowing side panels to be easily removed and resistant to accidental dislodging. Sizable Cable-Management: The AP201 features an extended motherboard tray with strategically placed cutouts and a 32 mm gap to tuck cables out of sight. Front Panel USB Type-C Support: The front panel of the AP201 features a USB 3.2 Gen 2 Type-C port, so users can enjoy transfer speeds of up to 10 Gbps."
}
  ],
  "product_quantity": [
    {
  "quantity": "1"
},
    {
  "quantity": "1"
}
  ],
  "product_options": [
    {
  "Size": "AP201|Black"
},
    {
  "Style": "SFF Tempered Glass"
},
    {
  "Pattern": "Chassis"
}
  ]
}
<|observation_end|>

# Output Format
Please provide your response in JSON format within <answer></answer> tags using the following schema:
"<answer>
{
"timestamp": "2025-04-03T00:22:04.407Z", // 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>

<answer_action>purchase</answer_action><answer_argument>B0C5LK9L62</answer_argument>
rule
<answer_action>purchase</answer_action><answer_argument>B0C5LK9L62</answer_argument>
<|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|>
<|memory_end|>

<|action_start|>
{"timestamp": "2025-04-03T00:18:37.474Z", "action": "click", "action_argument": "nav_bar"}
{"timestamp": "2025-04-03T00:18:53.155Z", "action": "click", "action_argument": "other"}
{"timestamp": "2025-04-03T00:19:00.895Z", "action": "click", "action_argument": "suggested_term"}
{"timestamp": "2025-04-03T00:19:14.292Z", "action": "click_product", "action_argument": "B0B99HTD3B"}
{"timestamp": "2025-04-03T00:19:19.328Z", "action": "click", "action_argument": "product_option"}
{"timestamp": "2025-04-03T00:19:46.282Z", "action": "click_product", "action_argument": "B0BVKZ6P9C"}
{"timestamp": "2025-04-03T00:20:31.173Z", "action": "click_product", "action_argument": "B0B99HTD3B"}
{"timestamp": "2025-04-03T00:20:49.411Z", "action": "click", "action_argument": "product_option"}
{"timestamp": "2025-04-03T00:21:11.685Z", "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": "asus ap201 case"
}
  ],
  "product_details": [
    {
  "asin": "B0C5LK9L62"
},
    {
  "title": "ASUS Prime AP201 Black MicroATX Supports 338mm Graphics Cards, 360mm Coolers, Standard ATX PSUs, Tool-Free Side Panels, Tempered Glass Front Panel, USB Type-C"
},
    {
  "price": "$84.99"
},
    {
  "bullet_list": "Optimized for Cooling: With support for 280 and 360mm radiators and up to six fans, the AP201 is primed to deal with the thermal onslaught of high-performance hardware. Industry-Leading Spatial Efficiency: Despite a 33L footprint, the AP201 supports ATX PSUs up to 180 mm long, graphics cards up to 338 mm long, custom liquid cooling, and various storage devices. Tool-Free Panels with Tempered Glass Side: See or work on your machine easily with a simple yet secure clip mechanism allowing side panels to be easily removed and resistant to accidental dislodging. Sizable Cable-Management: The AP201 features an extended motherboard tray with strategically placed cutouts and a 32 mm gap to tuck cables out of sight. Front Panel USB Type-C Support: The front panel of the AP201 features a USB 3.2 Gen 2 Type-C port, so users can enjoy transfer speeds of up to 10 Gbps."
}
  ],
  "product_quantity": [
    {
  "quantity": "1"
},
    {
  "quantity": "1"
}
  ],
  "product_options": [
    {
  "Size": "AP201|Black"
},
    {
  "Style": "SFF Tempered Glass"
},
    {
  "Pattern": "Chassis"
}
  ]
}
<|observation_end|>

# Output Format
Please provide your response in JSON format within <answer></answer> tags using the following schema:
"<answer>
{
"timestamp": "2025-04-03T00:22:04.407Z", // 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>

train