### Documentation for `SoftwareAI` Module

#### 1. Importing Required Libraries
```markdown
# Import SoftwareAI Functions

## Overview
This module provides various functions to interact with different components of the software AI ecosystem, such as agents, libraries, keys, and more. These functions help in managing and interacting with these components effectively.

## Installation
The required libraries can be installed using pip:
```bash
pip install ``
```

## Usage
To use the functions in this module, simply import them from the appropriate submodules:
```python
from softwareai.Functions._init_functions_ import *
from softwareai.Functions_Submit_Outputs._init_submit_outputs_ import _init_output_
from .._init_agents_ import *
from .._init_libs_ import *
from .._init_keys_ import *
```

#### 2. Function Definitions
##### 2.1 `create_or_auth_vectorstoreadvanced`
```markdown
## create_or_auth_vectorstoreadvanced
This function checks if a user's vectorstore advanced settings exist in the database.

Parameters:
- key : str
    The unique identifier for the user.
- UseVectorstoreToGenerateFiles : bool
    The boolean indicating whether vectorstore advanced features should be used.

Returns:
--------
str
    A string representing the value of the 'UseVectorstoreToGenerateFiles' setting.

Raises:
-------
Exception
    If an error occurs during the process.

Example:
--------
>>> create_or_auth_vectorstoreadvanced('user123', True)
'True'

Note:
-----
- The function first attempts to retrieve the current 'UseVectorstoreToGenerateFiles' setting for the specified user from the database.
- If the setting does not exist, it adds the setting to the database with the provided value and returns that value.
```

##### 2.2 `create_or_auth_AI`
```markdown
## create_or_auth_AI
This function creates or authenticates an AI assistant with specified details such as instructions, name, model, tools, and vectorstores.

Parameters:
- key : str
    The unique identifier for the user.
- instructionsassistant : str
    The instruction of the assistant's behavior The maximum length is 256,000 characters.
- nameassistant : str
    The name of the assistant The maximum length is 256 characters.
- model_select : str
    The AI model that the assistant will use
- tools : list
    The agent's tools  There can be a maximum of 128 tools per assistant. Tools can be of types code_interpreter, file_search, vectorstore, or function.
- vectorstore : list
    The vector storage id desired when creating or authenticating the assistant

Returns:
--------
str
    The assistant ID.

Raises:
-------
Exception
    If there is an error during the process.

Example:
--------
>>> create_or_auth_ai('user123', "This is a sample assistant.", "Sample Assistant", "gpt-4o-mini", [{"type": "code_interpreter"}, {"type": "file_search"}], ["vs_2"])
'assistant_id_123'
```

##### 2.3 `create_or_auth_thread`
```markdown
## create_or_auth_thread
This function creates or authenticates a thread with specified details such as file in thread, attachment vectorstore to threads, and code interpreter in thread.

Parameters:
- key : str
    The unique identifier for the user.
- file_in_thread : str
    The id of the desired file in the thread
- attachavectorstoretoThreads : list
    attach a vector store to Threads "vector_store_ids": ["vs_2"]
- code_interpreter_in_thread : None
    If not use = None

Returns:
--------
str
    The thread ID.

Raises:
-------
Exception
    If there is an error during the process.

Example:
--------
>>> create_or_auth_thread('user123', 'file1.txt', ["vs_2"], None)
'thread_id_123'
```

##### 2.4 `ResponseAgent_message_completions`
```markdown
## ResponseAgent_message_completions
Sends a message to an OpenAI chat model and returns the completion.

Parameters:
- prompt (str): The text that the assistant will respond to.
- sistema (str, optional): A system instruction for the assistant. Defaults to an empty string.
- json_format (bool, optional): Whether the response should be returned as a JSON object or plain text. Defaults to True.

Returns:
--------
str
    The response from the assistant.

Raises:
-------
Exception: If there is an error during the API request.

Example:
--------
>>> ResponseAgent_message_completions("Hello, how are you?")
'I am good, thank you!'
```

##### 2.5 `ResponseAgent_message_with_assistants`
```markdown
## ResponseAgent_message_with_assistants
This function sends a message to an OpenAI chat model with additional features such as file uploads, image uploads, and code execution.

Parameters:
- mensagem: str
    The desired message that the agent responds to
- Upload_1_file_in_thread: str, optional
    The location of the file that will be uploaded to the thread
- Upload_1_file_in_message: str, optional
    The location of the file that will be uploaded along with the message
- Upload_1_image_for_vision_in_thread: str, optional
    The location of the image that will be loaded into the thread along with the message with the aim of vision
- Upload_list_for_code_interpreter_in_thread: list, optional
    This argument is the list of files that will be loaded into the thread along with the message for the purpose of code interpreter
- vectorstore_in_Thread: list, optional
    This argument is a storage list of vectors that will be loaded into the thread along with the message
- tools: list, optional
    This argument is the tools that will be used
- agent_id: str
    This argument is the id of the authenticated or created agent
- model_select: str
    This argument is the AI model that the agent will use
- aditional_instructions: str, optional
    This argument is an additional instruction to the agent's behavior

Returns:
--------
None
```

##### 2.6 `Agent_files_update`
```markdown
## Agent_files_update
Handles updating vector store IDs for an assistant's file search tool and updating new files in a thread.

Parameters:
- assistant_id (str): The ID of the assistant to update.
- vector_store_id (list): A list of vector store IDs to set for the assistant.

Returns:
--------
str
    The updated assistant ID.

Raises:
-------
Exception: If there is an error updating the assistant.

Example:
--------
>>> assistant_id = '12345'
>>> vector_store_id = ['store1', 'store2']
>>> updated_assistant_id = update_vectorstore_in_agent(assistant_id, vector_store_id)
>>> print(updated_assistant_id)
'12345'
```

##### 2.7 `Agent_files`
```markdown
## Agent_files
Handles authenticating with the database or creating a new vector store based on the provided name.

Parameters:
- name_for_vectorstore (str): The name of the vector store to authenticate or create.
- file_paths (list of str, optional): A list of file paths to upload to the vector store.
- update1newfiles (str, optional): The path to an updated file to upload to the vector store.

Returns:
--------
str
    The ID of the authenticated or created vector store.

Raises:
-------
Exception: If there is an error during authentication or creation.

Example:
--------
vector_store_id = auth_or_create_vectorstore_with_multiple_files("my_vectorstore", ["path/to/file1.txt", "path/to/file2.txt"])
print(vector_store_id)

Note:
-----
- The function handles both authentication and creation of a vector store.
- It uploads files to the vector store if specified.
- It stores the vector store ID in the database after successful creation.
```

##### 2.8 `python_functions`
```markdown
## python_functions
Contains various utility functions for executing Python code, saving data frames, and analyzing files.

Parameters:
- create_env (dict, str): Creates a `.env` file with the provided variables.
- update_multiple_env_variables (dict, str): Updates multiple environment variables in the `.env` file.
- update_env_variable (str, str): Updates a single environment variable in the `.env` file.
- execute_python_code_created (str): Executes the Python code stored in the specified file.
- save_data_frame_planilha (dict, str): Saves the data frame to a CSV file.
- save_python_code (str, str): Saves the provided Python code string to a file.
- save_csv (pandas.DataFrame, str): Saves the DataFrame to a CSV file at the specified path.
- save_TXT (str, str, str): Saves a string to a text file at the specified path with the specified mode.
- save_json (dict, str): Saves a JSON string to a JSON file at the specified path.
- delete_all_lines_in_txt (str): Deletes all lines from a text file at the specified path.
- move_arquivos (str, str): Moves files from one directory to another.
- executar_agentes (str, str, str): Executes an agent script using Python.
- analyze_txt_0 (str): Reads the last line of a text file.
- analyze_file (str): Reads the entire content of a file.
- analyze_txt (str): Reads the entire content of a text file.
- analyze_csv (str): Reads the contents of a CSV file.
- analyze_json (str): Loads a JSON file and prints its contents.
```

#### 3. Best Practices
##### 3.1 Clarity
- Use clear and direct language
- Avoid complex technical jargon
- Explain technical terms

##### 3.2 Comprehensiveness
- Document all public functions
- Include use cases
- Provide sufficient context

##### 3.3 Maintenance
- Keep documentation updated
- Review alongside code updates
- Version documentation

By following these guidelines, you can create comprehensive and high-quality technical documentation for the `SoftwareAI` module, ensuring that it is easy to understand and maintain.