[View code on GitHub](https://github.com/creatorrr/turbo-chat/blob/master/turbo_chat/bots/subqueries/bot.py)

The `subqueries_bot` function in this code is designed to decompose a given request into a series of subqueries that can be used to query a knowledgebase. This is particularly useful in situations where a single question may require multiple pieces of information to be retrieved from the knowledgebase in order to provide a comprehensive answer.

The function takes several input parameters, including the main request, context, an example (defaulting to `default_subqueries_example`), maximum number of subqueries allowed (`max_queries`), request type, and the action to perform (e.g., "answer").

First, the function yields a `User` object with a template and variables. The template, `SUBQUERIES_TEMPLATE`, is used to format the input parameters into a structured format that the model can understand. The variables include the request, context, example, maximum number of subqueries, request type, and action to perform.

Next, the function generates an output using the `Generate` method with the `forward` parameter set to `False`. This output is then parsed using the `scratchpad.parse` method, which extracts the subqueries from the generated content.

Finally, the function filters out any `None` values from the parsed subqueries and returns the list of subqueries as the result.

Here's an example of how the `subqueries_bot` function might be used:

```python
request = "What is the least expensive cereal that is healthy and has a low calorie content but is also tasty?"
context = "User is a customer at a grocery store and is asking the question to the store manager."

subqueries = await subqueries_bot(request, context)
print(subqueries)
```

This would output a list of subqueries like:

```
[
    "What are some tasty cereal that are healthy?",
    "What are the prices of the above cereals?",
    "What is the least expensive cereal of the above?"
]
```

These subqueries can then be used to query the knowledgebase and gather the necessary information to answer the original request.
## Questions: 
 1. **Question:** What is the purpose of the `default_subqueries_example` variable?
   **Answer:** The `default_subqueries_example` variable provides a default example string that demonstrates how to use the `subqueries_bot` function. It is used as the default value for the `example` parameter in the function.

2. **Question:** How does the `subqueries_bot` function handle the input parameters and generate the subqueries?
   **Answer:** The `subqueries_bot` function takes the input parameters (request, context, example, max_queries, request_type, and solve_act) and uses them to create a `User` object with the `SUBQUERIES_TEMPLATE`. It then generates output using the `Generate` function and parses the output using the `scratchpad.parse` function to obtain the subqueries.

3. **Question:** What is the purpose of the `__all__` variable in the code?
   **Answer:** The `__all__` variable is used to define the public interface of the module. It specifies which names should be imported when a client imports the module using a wildcard import (e.g., `from module import *`). In this case, it indicates that only the `subqueries_bot` function should be imported.