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": "2025-03-24T21:16:32.815Z", "action": "input", "action_argument": "gift for 5 years old"}
  {"timestamp": "2025-03-24T21:17:41.227Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-03-24T21:18:14.586Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-03-24T21:18:17.633Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-03-24T21:18:24.977Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-03-24T21:18:26.723Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-03-24T21:21:32.890Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-03-24T21:21:41.814Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-03-24T21:21:58.588Z", "action": "input", "action_argument": "gift for 5 years old girl birthday ideas"}
  {"timestamp": "2025-03-24T21:28:14.005Z", "action": "click_product", "action_argument": "B0BFJ1SSY6"}
  {"timestamp": "2025-03-24T21:29:49.301Z", "action": "purchase", "action_argument": "B0BFJ1SSY6"}
  {"timestamp": "2025-03-24T21:30:00.541Z", "action": "click", "action_argument": "other"}
  {"timestamp": "2025-03-24T21:30:07.480Z", "action": "click", "action_argument": "quantity"}
  {"timestamp": "2025-03-24T21:30:10.155Z", "action": "click", "action_argument": "quantity"}
  {"timestamp": "2025-03-24T21:30:11.555Z", "action": "click", "action_argument": "quantity"}
  <|memory_end|>
  
  <|action_start|>
  {"timestamp": "2025-03-26T00:17:51.677Z", "action": "click", "action_argument": "nav_bar"}
  {"timestamp": "2025-03-26T00:25:15.820Z", "action": "input", "action_argument": "# of Actions Recorded"}
  {"timestamp": "2025-03-26T00:26:32.810Z", "action": "input", "action_argument": "Reasons recorded in 7 days: "}
  {"timestamp": "2025-03-26T00:26:45.766Z", "action": "input", "action_argument": "Reasons recorded in 7 days:  xxxooo"}
  {"timestamp": "2025-03-26T00:26:48.514Z", "action": "input", "action_argument": "Reasons recorded in 7 days:  xxxooo"}
  {"timestamp": "2025-03-26T00:32:45.749Z", "action": "input", "action_argument": "xxxx"}
  {"timestamp": "2025-03-26T00:33:09.291Z", "action": "input", "action_argument": "xxxx"}
  {"timestamp": "2025-03-26T00:33:14.167Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-03-26T00:33:25.026Z", "action": "click", "action_argument": "search"}
  <|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": "fewaf"}],
  "cart_items": [{"title": "Charmin Ultra Soft Cushiony Touch Toilet Paper, 24 Family Mega Rolls = 123 Regular Rolls", "asin": "B0798DVT68", "price": "$35.49", "quantity": "1"}]
  <|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": "2025-03-26T00:36:44.929Z", // 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": "2025-03-24T21:16:32.815Z", "action": "input", "action_argument": "gift for 5 years old"}
  {"timestamp": "2025-03-24T21:17:41.227Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-03-24T21:18:14.586Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-03-24T21:18:17.633Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-03-24T21:18:24.977Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-03-24T21:18:26.723Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-03-24T21:21:32.890Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-03-24T21:21:41.814Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-03-24T21:21:58.588Z", "action": "input", "action_argument": "gift for 5 years old girl birthday ideas"}
  {"timestamp": "2025-03-24T21:28:14.005Z", "action": "click_product", "action_argument": "B0BFJ1SSY6"}
  {"timestamp": "2025-03-24T21:29:49.301Z", "action": "purchase", "action_argument": "B0BFJ1SSY6"}
  {"timestamp": "2025-03-24T21:30:00.541Z", "action": "click", "action_argument": "other"}
  {"timestamp": "2025-03-24T21:30:07.480Z", "action": "click", "action_argument": "quantity"}
  {"timestamp": "2025-03-24T21:30:10.155Z", "action": "click", "action_argument": "quantity"}
  {"timestamp": "2025-03-24T21:30:11.555Z", "action": "click", "action_argument": "quantity"}
  <|memory_end|>
  
  <|action_start|>
  {"timestamp": "2025-03-26T00:17:51.677Z", "action": "click", "action_argument": "nav_bar"}
  {"timestamp": "2025-03-26T00:25:15.820Z", "action": "input", "action_argument": "# of Actions Recorded"}
  {"timestamp": "2025-03-26T00:26:32.810Z", "action": "input", "action_argument": "Reasons recorded in 7 days: "}
  {"timestamp": "2025-03-26T00:26:45.766Z", "action": "input", "action_argument": "Reasons recorded in 7 days:  xxxooo"}
  {"timestamp": "2025-03-26T00:26:48.514Z", "action": "input", "action_argument": "Reasons recorded in 7 days:  xxxooo"}
  {"timestamp": "2025-03-26T00:32:45.749Z", "action": "input", "action_argument": "xxxx"}
  {"timestamp": "2025-03-26T00:33:09.291Z", "action": "input", "action_argument": "xxxx"}
  {"timestamp": "2025-03-26T00:33:14.167Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-03-26T00:33:25.026Z", "action": "click", "action_argument": "search"}
  <|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": "fewaf"}],
  "cart_items": [{"title": "Charmin Ultra Soft Cushiony Touch Toilet Paper, 24 Family Mega Rolls = 123 Regular Rolls", "asin": "B0798DVT68", "price": "$35.49", "quantity": "1"}]
  <|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": "2025-03-26T00:36:44.929Z", // 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": "2025-03-24T21:16:32.815Z", "action": "input", "action_argument": "gift for 5 years old"}
  {"timestamp": "2025-03-24T21:17:41.227Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-03-24T21:18:14.586Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-03-24T21:18:17.633Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-03-24T21:18:24.977Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-03-24T21:18:26.723Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-03-24T21:21:32.890Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-03-24T21:21:41.814Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-03-24T21:21:58.588Z", "action": "input", "action_argument": "gift for 5 years old girl birthday ideas"}
  {"timestamp": "2025-03-24T21:28:14.005Z", "action": "click_product", "action_argument": "B0BFJ1SSY6"}
  {"timestamp": "2025-03-24T21:29:49.301Z", "action": "purchase", "action_argument": "B0BFJ1SSY6"}
  {"timestamp": "2025-03-24T21:30:00.541Z", "action": "click", "action_argument": "other"}
  {"timestamp": "2025-03-24T21:30:07.480Z", "action": "click", "action_argument": "quantity"}
  {"timestamp": "2025-03-24T21:30:10.155Z", "action": "click", "action_argument": "quantity"}
  {"timestamp": "2025-03-24T21:30:11.555Z", "action": "click", "action_argument": "quantity"}
  <|memory_end|>
  
  <|action_start|>
  {"timestamp": "2025-03-26T00:17:51.677Z", "action": "click", "action_argument": "nav_bar"}
  {"timestamp": "2025-03-26T00:25:15.820Z", "action": "input", "action_argument": "# of Actions Recorded"}
  {"timestamp": "2025-03-26T00:26:32.810Z", "action": "input", "action_argument": "Reasons recorded in 7 days: "}
  {"timestamp": "2025-03-26T00:26:45.766Z", "action": "input", "action_argument": "Reasons recorded in 7 days:  xxxooo"}
  {"timestamp": "2025-03-26T00:26:48.514Z", "action": "input", "action_argument": "Reasons recorded in 7 days:  xxxooo"}
  {"timestamp": "2025-03-26T00:32:45.749Z", "action": "input", "action_argument": "xxxx"}
  {"timestamp": "2025-03-26T00:33:09.291Z", "action": "input", "action_argument": "xxxx"}
  {"timestamp": "2025-03-26T00:33:14.167Z", "action": "click", "action_argument": "search"}
  {"timestamp": "2025-03-26T00:33:25.026Z", "action": "click", "action_argument": "search"}
  <|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": "fewaf"}],
  "cart_items": [{"title": "Charmin Ultra Soft Cushiony Touch Toilet Paper, 24 Family Mega Rolls = 123 Regular Rolls", "asin": "B0798DVT68", "price": "$35.49", "quantity": "1"}]
  <|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": "2025-03-26T00:36:44.929Z", // 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>
  