<|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": "2025-04-03T01:06:31.719Z", "action": "click", "action_argument": "other"}
{"timestamp": "2025-04-03T01:06:36.176Z", "action": "click_product", "action_argument": "B0CMQZ2HFJ"}
{"timestamp": "2025-04-03T01:06:46.589Z", "action": "click", "action_argument": "product_option"}
{"timestamp": "2025-04-03T01:06:53.317Z", "action": "click", "action_argument": "product_option"}
{"timestamp": "2025-04-03T01:06:55.971Z", "action": "click", "action_argument": "product_option"}
{"timestamp": "2025-04-03T01:06:59.511Z", "action": "click", "action_argument": "product_option"}
{"timestamp": "2025-04-03T01:07:35.819Z", "action": "click", "action_argument": "product_option"}
{"timestamp": "2025-04-03T01:07:42.855Z", "action": "click", "action_argument": "product_option"}
{"timestamp": "2025-04-03T01:08:12.385Z", "action": "click", "action_argument": "product_option"}
{"timestamp": "2025-04-03T01:08:25.056Z", "action": "click", "action_argument": "product_option"}
{"timestamp": "2025-04-03T01:08:28.535Z", "action": "purchase", "action_argument": "B0DBZ3JYRF"}
<|memory_end|>

<|action_start|>
<|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": ""}],
"product_details": [{"asin": "B0DBZ3JYRF"},
{"title": "Airkeep Car Air Freshener - White Jasmine Handmade Scented Ceramic for Drawers and Closets, Car Air Freshener Gifts for Men Women Car Fragrance"},
{"price": "$5.99"},
{"bullet_list": "Scent:White Jasmine.The fragrance captivates with a citrusy lemon and bergamot zing, blossoms into a seductive white jasmine heart, and finally settles into a creamy sandalwood and musk embrace, reminiscent of a moonlit stroll through an enchanting jasmine garden. Long-lasting Fragrance: Airkeep car fragrance hanging ornaments provide a refreshing and long-lasting aroma, ensuring a pleasant driving experience. Premium quality materials: Airkeep fragrant ceramics are made of high-quality aromatic oil and environmentally friendly ceramics, which are very durable and release a pleasant fragrance without any harmful chemicals. It is safe in daily use and ensures a fresh and clean interior environment inside your vehicle. Multipurpose Usage: Besides being used in cars, our hanging air fresheners can also be placed in small spaces such as offices, bathrooms, and even gym lockers. Keep your surroundings pleasantly scented wherever you go. Thoughtful Gifts: Scented ceramics make for thoughtful and personalized gifts. They are suitable for various occasions, such as birthdays, housewarmings, holidays, and more."}],
"product_quantity": [{"quantity": "1"},
{"quantity": "1"}],
"product_options": [{"Color": "White Tea(Square Ceramic)"}]
<|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": "2025-04-03T01:08:33.297Z", // 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>

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 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": "2025-04-03T01:06:31.719Z", "action": "click", "action_argument": "other"}
{"timestamp": "2025-04-03T01:06:36.176Z", "action": "click_product", "action_argument": "B0CMQZ2HFJ"}
{"timestamp": "2025-04-03T01:06:46.589Z", "action": "click", "action_argument": "product_option"}
{"timestamp": "2025-04-03T01:06:53.317Z", "action": "click", "action_argument": "product_option"}
{"timestamp": "2025-04-03T01:06:55.971Z", "action": "click", "action_argument": "product_option"}
{"timestamp": "2025-04-03T01:06:59.511Z", "action": "click", "action_argument": "product_option"}
{"timestamp": "2025-04-03T01:07:35.819Z", "action": "click", "action_argument": "product_option"}
{"timestamp": "2025-04-03T01:07:42.855Z", "action": "click", "action_argument": "product_option"}
{"timestamp": "2025-04-03T01:08:12.385Z", "action": "click", "action_argument": "product_option"}
{"timestamp": "2025-04-03T01:08:25.056Z", "action": "click", "action_argument": "product_option"}
{"timestamp": "2025-04-03T01:08:28.535Z", "action": "purchase", "action_argument": "B0DBZ3JYRF"}
<|memory_end|>

<|action_start|>
<|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": ""}],
"product_details": [{"asin": "B0DBZ3JYRF"},
{"title": "Airkeep Car Air Freshener - White Jasmine Handmade Scented Ceramic for Drawers and Closets, Car Air Freshener Gifts for Men Women Car Fragrance"},
{"price": "$5.99"},
{"bullet_list": "Scent:White Jasmine.The fragrance captivates with a citrusy lemon and bergamot zing, blossoms into a seductive white jasmine heart, and finally settles into a creamy sandalwood and musk embrace, reminiscent of a moonlit stroll through an enchanting jasmine garden. Long-lasting Fragrance: Airkeep car fragrance hanging ornaments provide a refreshing and long-lasting aroma, ensuring a pleasant driving experience. Premium quality materials: Airkeep fragrant ceramics are made of high-quality aromatic oil and environmentally friendly ceramics, which are very durable and release a pleasant fragrance without any harmful chemicals. It is safe in daily use and ensures a fresh and clean interior environment inside your vehicle. Multipurpose Usage: Besides being used in cars, our hanging air fresheners can also be placed in small spaces such as offices, bathrooms, and even gym lockers. Keep your surroundings pleasantly scented wherever you go. Thoughtful Gifts: Scented ceramics make for thoughtful and personalized gifts. They are suitable for various occasions, such as birthdays, housewarmings, holidays, and more."}],
"product_quantity": [{"quantity": "1"},
{"quantity": "1"}],
"product_options": [{"Color": "White Tea(Square Ceramic)"}]
<|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": "2025-04-03T01:08:33.297Z", // 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>

<answer>{"timestamp": "2025-04-03T01:08:33.297Z","action": "click","acion_argument": "product_option",}</answer>
rule
<answer>{"timestamp": "2025-04-03T01:08:33.297Z","action": "click","acion_argument": "product_option",}</answer>
<|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": "2025-04-03T01:06:31.719Z", "action": "click", "action_argument": "other"}
{"timestamp": "2025-04-03T01:06:36.176Z", "action": "click_product", "action_argument": "B0CMQZ2HFJ"}
{"timestamp": "2025-04-03T01:06:46.589Z", "action": "click", "action_argument": "product_option"}
{"timestamp": "2025-04-03T01:06:53.317Z", "action": "click", "action_argument": "product_option"}
{"timestamp": "2025-04-03T01:06:55.971Z", "action": "click", "action_argument": "product_option"}
{"timestamp": "2025-04-03T01:06:59.511Z", "action": "click", "action_argument": "product_option"}
{"timestamp": "2025-04-03T01:07:35.819Z", "action": "click", "action_argument": "product_option"}
{"timestamp": "2025-04-03T01:07:42.855Z", "action": "click", "action_argument": "product_option"}
{"timestamp": "2025-04-03T01:08:12.385Z", "action": "click", "action_argument": "product_option"}
{"timestamp": "2025-04-03T01:08:25.056Z", "action": "click", "action_argument": "product_option"}
{"timestamp": "2025-04-03T01:08:28.535Z", "action": "purchase", "action_argument": "B0DBZ3JYRF"}
<|memory_end|>

<|action_start|>
<|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": ""}],
"product_details": [{"asin": "B0DBZ3JYRF"},
{"title": "Airkeep Car Air Freshener - White Jasmine Handmade Scented Ceramic for Drawers and Closets, Car Air Freshener Gifts for Men Women Car Fragrance"},
{"price": "$5.99"},
{"bullet_list": "Scent:White Jasmine.The fragrance captivates with a citrusy lemon and bergamot zing, blossoms into a seductive white jasmine heart, and finally settles into a creamy sandalwood and musk embrace, reminiscent of a moonlit stroll through an enchanting jasmine garden. Long-lasting Fragrance: Airkeep car fragrance hanging ornaments provide a refreshing and long-lasting aroma, ensuring a pleasant driving experience. Premium quality materials: Airkeep fragrant ceramics are made of high-quality aromatic oil and environmentally friendly ceramics, which are very durable and release a pleasant fragrance without any harmful chemicals. It is safe in daily use and ensures a fresh and clean interior environment inside your vehicle. Multipurpose Usage: Besides being used in cars, our hanging air fresheners can also be placed in small spaces such as offices, bathrooms, and even gym lockers. Keep your surroundings pleasantly scented wherever you go. Thoughtful Gifts: Scented ceramics make for thoughtful and personalized gifts. They are suitable for various occasions, such as birthdays, housewarmings, holidays, and more."}],
"product_quantity": [{"quantity": "1"},
{"quantity": "1"}],
"product_options": [{"Color": "White Tea(Square Ceramic)"}]
<|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": "2025-04-03T01:08:33.297Z", // 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>

train