Update run_maestro.py to run in headless mode with a single environment and specify result directory. Adjust default TTL for AWS instances from 60 to 180 minutes in config.py. Enhance AWSProvider to handle missing security groups, subnet IDs, and instance types with fallbacks, and improve termination logic to skip already terminated instances while logging relevant information.

Update run_maestro.py to run in headless mode with a single environment and specify result directory. Adjust default TTL for AWS instances from 60 to 180 minutes in config.py. Enhance AWSProvider to handle missing security groups, subnet IDs, and instance types with fallbacks, and improve termination logic to skip already terminated instances while logging relevant information.

Refactor AWS scheduler role handling in scheduler_utils.py - Improved error handling and logging for role resolution and creation. - Added checks to ensure the trust policy allows for AWS EventBridge Scheduler to assume the role. - Implemented retry logic for scheduling EC2 termination to handle IAM eventual consistency. - Maintained existing code logic while enhancing robustness and clarity in role management.

Clean code

Update AWS guidance

Refactoring VMware Integration and Implementing AWS Support (#44) * Initailize aws support * Add README for the VM server * Refactor OSWorld for supporting more cloud services. * Initialize vmware and aws implementation v1, waiting for verification * Initlize files for azure, gcp and virtualbox support * Debug on the VMware provider * Fix on aws interface mapping * Fix instance type * Refactor * Clean * hk region; debug * Fix lock * Remove print * Remove key_name requirements when allocating aws vm * Clean README --------- Co-authored-by: XinyuanWangCS <xywang626@gmail.com>

Add multiple new modules and tools to enhance the functionality and extensibility of the Maestro project (#333) * Added a **pyproject.toml** file to define project metadata and dependencies. * Added **run\_maestro.py** and **osworld\_run\_maestro.py** to provide the main execution logic. * Introduced multiple new modules, including **Evaluator**, **Controller**, **Manager**, and **Sub-Worker**, supporting task planning, state management, and data analysis. * Added a **tools module** containing utility functions and tool configurations to improve code reusability. * Updated the **README** and documentation with usage examples and module descriptions. These changes lay the foundation for expanding the Maestro project’s functionality and improving the user experience. Co-authored-by: Hiroid <guoliangxuan@deepmatrix.com>