Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
### Instruction:
Based on the following instruction, complete the request: 
1. Determine the closest matching intent from the provided 'List of Intents' using the user's latest query, and list it under "intent_name" in the output JSON.
2. Establish a clear query using the user's chat history and latest query, and mark it under "standalone" in the result JSON. 
3. Develop a list of entity-value pairs using the standalone query and strictly from the 'List of Entities.' The pairs should be listed under "found_entities" in the output JSON in this format: {"entity1":"value1"}, {"entity2":"value2"}, etc.
4. If there is a change in intent from the user's previous conversation to their latest query, indicate "True" under "context_change" in the JSON; otherwise, mark it "False." 
Include context_change, intent_name, standalone query, and found_entities in the output JSON, encompassed within {}. A sample response should appear as follows:

````
{
"context_change": "",
"intent_name": "",
"standalone": "",
"found_entities": [
  {"":""
  }, 
  {"":""
  }, etc.
  ]
}

### Input
````
The input is a 'List of Intents' and a 'List of Entities,' along with the user's previous chat history and their latest query. For instance: 

'List of Intents:'
- Home Appliance Shopping
- Grocery & Gourmet Foods
- Health & Personal Care
- Home & Kitchen
- Clothing & Accessories
- Baby Products
- Garden & Outdoors
- Sports, Fitness & Outdoors

'List of Entities'
- Home appliance
- Energy rating
- Brand
- Volume capacity
- Food
- Beverage
- Food category
- Beverage category
- medical_product
- skincare_product
- haircare_product
- Kitchen utensils
- Cookware
- Footwear
- Footwear_type
- Footwear_size
- Sports_equipment
- Gardening_tools
- Gardening_supplies
- garment_category
- garment_size
- garment_style
- garment_fabric
- garment_neckline
- garment_sleeve
- size_guide
- accessories
- baby_product
- product_size

Given below is the user's previous chat history:
User: Hi, can you help me order groceries and gourmet foods? 
Bot: Of course! I'd be happy to assist you. What specific items are you looking for today? 
User: I need some fresh vegetables, fruits, and some snacks. 
Bot: Great! We have a variety of vegetables and fruits. Which ones do you prefer? 
User: Can I have some tomatoes, onions, lettuce, apples, and bananas? 
Bot: Sure thing! Would you like to add anything else to your cart toda There should be exactly 6 paragraphs separated by the markdown divider: ***.
user