hello
this is my new project, and i hope get some help.
my project is an autonomous JSON AI task solving agent enhanced with knowledge and execution tools, can get task by your user and you solve it using subordinates, tools, agents
i'm tryin make it run on windows, so i will give you the project folder structure and the files discription and you tell me what you think 


project structure 
"└── auto_pilote/
    ├── .env
    ├── agent/
    │   ├── coder.py
    │   ├── tester.py
    │   ├── writer.py
    │   ├── image_generator.py
    │   ├── short_generator.py
    │   └── video_generator.py
    ├── agent.py
    ├── core/
    │   ├── brain.py
    │   ├── hear.py
    │   ├── speak.py
    │   └── vision.py
    ├── data/
    │   ├── agent/
    │   ├── jarvis/
    │   └── user/
    ├── document/
    │   ├── audio/
    │   ├── download/
    │   ├── image/
    │   ├── other/
    │   ├── upload/
    │   └── videos/
    ├── helpers/
    │   ├── error.py
    │   ├── extract_tools.py
    │   ├── files.py
    │   ├── input.py
    │   ├── knowledge.py
    │   ├── limiter.py
    │   ├── log.py
    │   ├── output.py
    │   ├── shell_local.py
    │   ├── tool.py
    │   └── vector_db.py
    ├── jarvis.py
    ├── knowledge/
    ├── logs/
    ├── main.py
    ├── memory/
    │   ├── db/
    │   ├── memroy/
    │   └── saved/
    ├── models.py
    ├── project/
    ├── prompts/
    │   ├── auto.pilote.md
    │   ├── code.no.output.md
    │   ├── code.reset.md
    │   ├── code.runtime.wrong.md
    │   ├── error.md
    │   ├── intervention.md
    │   ├── memories.deleted.md
    │   ├── memories.not.found.md
    │   ├── memory.md
    │   ├── memory.saved.md
    │   ├── msg.cleanup.md
    │   ├── msg.from.subordinate.md
    │   ├── msg.memory_cleanup.md
    │   ├── msg.misformat.md
    │   ├── msg.repeat.md
    │   ├── msg.timeout.md
    │   ├── msg.truncated.md
    │   ├── system.md
    │   ├── tool.knowledge.response.md
    │   ├── tool.not.found.md
    │   ├── tool.response.md
    │   ├── tools.md
    │   └── user.message.md
    ├── requirements.txt
    ├── system/
    │   ├── agent.py
    │   ├── automation.py
    │   ├── system.py
    │   └── user.py
    ├── tools/
    │   ├── answer.py
    │   ├── call_agent.py
    │   ├── knowledge_tool.py
    │   ├── memory_tool.py
    │   ├── run_tool.py
    │   └── task.py
    ├── training/
    ├── ui/
    └── ui.py
"

files descriptions:
Project Root: auto_pilote/
1. .env
Description: A configuration file that stores environment variables. It typically includes sensitive information like API keys, database URLs, and other configuration settings needed for the application to run. Ensure this file is added to .gitignore to keep it secure.
2. agent/
Description: This directory contains sub-agents that that we need to use.
coder.py
Description: this agent is a programmer
tester.py
Description: this agent is for testing the codes
writer.py
Description: this agent can write any atical like a humain
image_generator.py
Description: this agent can generate images
video_generator.py
Description: this agent can generate videos
short_generator.py
Description: this agent can generate shorts
3. agent.py
Description: The main script responsible for initializing and running the agents. It likely the core file of all sub-agents
4. core/
Description: Contains the fundamental components that make up the AI's "brain." These modules handle different aspects of the agent's functionality.
brain.py
Description: this handle jarvis deep learning
hear.py
Description: this file will work like a tool, so we can use it to hear voices and stop use it any time.
speak.py
Description: this file will work like a tool, so we can use it to speak and stop use it any time.
vision.py
Description: this file will work like a tool, it integrates visual processing capabilities and other vision-related tasks.
5. data/
Description: Stores various data types used by the AI agent, organized into subdirectories based on data source or purpose.
agent/
Description: Data specific to the agent, such as configurations, state information, or logs unique to agent operations.
jarvis/
Description: Data related to a component named "Jarvis," which could be a specific module or subsystem within your AI project.
user/
Description: User-specific data, including profiles, preferences, or interaction histories.
6. document/
Description: Manages various types of documents processed or generated by the AI agent.
audio/
Description: Stores audio files, such as voice inputs, recordings, or audio outputs.
download/
Description: Temporary storage for files downloaded by the agent during tasks.
image/
Description: Contains image files handled by the agent, whether for processing or storage.
other/
Description: Miscellaneous files that don't fit into the other categories.
upload/
Description: Stores files need to uploaded by the agent to finish tasks.
videos/
Description: Manages video files used by or generated from the agent's operations.
7. helpers/
Description: Utility modules that provide helper functions and support various parts of the application.
error.py
Description: Defines custom error classes and handles error logging or management.
extract_tools.py
Description: Contains functions to extract and manage tools or resources needed by the agent.
files.py
Description: Provides file handling utilities, such as reading, writing, and managing file operations.
input.py
Description: Manages user inputs, parsing, and validation.
knowledge.py
Description: Handles knowledge management, including storing, retrieving, and updating information.
limiter.py
Description: Implements rate limiting or resource usage restrictions to prevent overuse or abuse.
log.py
Description: Manages logging across the application, ensuring that events are recorded appropriately.
output.py
Description: Handles the formatting and delivery of outputs from the agent to the user or other systems.
shell_local.py
Description: Facilitates executing shell commands locally, allowing the agent to perform system-level operations.
tool.py
Description: Manages tools integration, providing interfaces to various utilities and services the agent can use.
vector_db.py
Description: Interfaces with a vector database, likely used for storing and retrieving vectorized data for tasks like similarity searches.
8. knowledge/
Description: Stores knowledge bases or datasets that the AI agent uses to make decisions, learn, or provide information.
9. logs/
Description: Contains log files generated by the application, useful for debugging, monitoring, and auditing purposes.
10. main.py
Description: The primary entry point of the application. It initializes the system, loads necessary components, and starts the agent's main loop or service.
11. memory/
Description: Manages the agent's memory systems, including storage and retrieval of information.
db/
Description: Contains databases related to the agent's memory, potentially for persistent storage.
embidding/
Description: this for the embidding memeories.
saved/
Description: Stores saved memory states, snapshots, or important information that needs to be retained across sessions.
12. models.py
Description: Defines all llm and models that we need to run jarvis and the other agents.
13. project/
Description: this to store all project that we start (if we create a project, the agent create a new folder for this project inside this folder and we work on it)
14. prompts/
Description: Contains prompt templates and markdown files used to guide the AI's responses and interactions.
auto.pilote.md
Description: A prompt template related to the autonomous operation of the agent.
code.no.output.md
code.reset.md
code.runtime.wrong.md
Description: Prompts handling different scenarios related to code execution, such as no output, resetting code context, or handling runtime errors.
error.md
Description: Template for error messages or responses.
intervention.md
Description: Possibly handles manual intervention prompts or scenarios where human input is required.
memories.deleted.md
memories.not.found.md
memory.md
memory.saved.md
Description: Templates related to memory management, such as confirming deletion, handling missing memories, or saving memory states.
msg.cleanup.md
msg.from.subordinate.md
msg.memory_cleanup.md
msg.misformat.md
msg.repeat.md
msg.timeout.md
msg.truncated.md
Description: Various message templates handling specific messaging scenarios like cleanup, subordinate messages, formatting issues, repetition requests, timeouts, and message truncation.
system.md
Description: System-level prompt templates, possibly defining the agent's system messages or instructions.
tool.knowledge.response.md
tool.not.found.md
tool.response.md
tools.md
Description: Prompts related to tool usage, responses, and handling cases where tools are not found.
user.message.md
Description: Template for handling or formatting user messages.
15. requirements.txt
Description: Lists all Python dependencies required to run the project. It allows for easy installation of necessary packages using pip install -r requirements.txt.
16. system/
Description: Contains modules related to different system functionalities or integrations.
automation.py
Description: Handles automation tasks, possibly automating workflows or repetitive processes.
system.py
Description: Core system functionalities, managing overall system operations and interactions.
user.py
Description: Manages user-related system operations, such as authentication, authorization, and user session management, (for example password, pic, voice,... to access to the app)
17. tools/
Description: Contains modules that define and manage various tools the AI agent can use to perform tasks.
answer.py
Description: Handles generating or retrieving answers, possibly interfacing with knowledge bases or response generators.
call_agent.py
Description: Manages the invocation of sub-agents or other agents within the system.
knowledge_tool.py
Description: Interfaces with knowledge-related tools, such as search engines or information retrieval systems.
memory_tool.py
Description: Provides functionalities related to the agent's memory, including storage and retrieval operations.
run_tool.py
Description: Executes various tools or commands as required by the agent's tasks.
task.py
Description: Manages task-related operations, such as task creation, assignment, tracking, and completion.
18. training/
Description: Contains resources, scripts, and data used for training the AI models. This could include datasets, training scripts, and model checkpoints.
19. ui/
Description: Manages the user interface components of the application. This could involve frontend assets, templates, or scripts for the UI.
20. ui.py
Description: The main script for the user interface. It likely initializes and runs the UI components, handling user interactions and displaying information."