* support dashscopoe sdk to call qwen3-vl-plus
* support dashscopoe sdk to call qwen3-vl-plus
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Co-authored-by: Timothyxxx <Timothyxxx@users.noreply.github.com>
* use aws pub ip
* os task fix: set the default dim screen time to be 300s
* OpenCUA-72B
* update password
* update
* update
* update opencua72b agent
* change provider ip
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Co-authored-by: Jiaqi <dengjiaqi@moonshot.cn>
* 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>
- Updated TASK_DESCRIPTION in run_coact.py to clarify task-solving steps and requirements.
- Modified configuration parameters for provider name and client password for better security and flexibility.
- Enhanced OrchestratorUserProxyAgent to include user instruction in the auto-reply and improved screenshot handling.
- Adjusted coding_agent.py to ensure proper verification of results before saving changes.
- Improved CUA agent prompts to maintain application state and handle user instructions more effectively.
- Ensured existing code logic remains unchanged while enhancing functionality and usability.
- Added support for an optional start_coordinate parameter to facilitate drag actions from a specified starting point.
- Implemented validation for start_coordinate to ensure it is a tuple of two integers.
- Enhanced click actions to handle modifier keys, allowing for more complex interactions.
- Ensured existing code logic remains unchanged while improving functionality and usability.
- Added logging configuration to capture runtime logs in both file and console with adjustable log levels.
- Introduced new command-line arguments for provider name, region, and client password to improve flexibility and security.
- Updated process_task function to accommodate new parameters, ensuring compatibility with existing logic.
- Modified prompt templates in coding_agent.py and cua_agent.py to use the client password placeholder for enhanced security.
* add uitars agent code
* improve claude
* improve claude
* improve claude
* improve claude
* improve claude
* add nogdrive json
* merge claude code
* clean code claude run
* clean code claude run
* clean code claude run
* use aws pub ip
* os task fix: set the default dim screen time to be 300s
* add all the uitars agents:
1. run_multienv_uitars.py: Qwen2VL-based UITARS models
2. run_multienv_uitars15_v1.py: UITARS1.5-7B
3. run_multienv_uitars15_v2.py: SeedVL1.5 thining/non-thinking
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Co-authored-by: Jiaqi <dengjiaqi@moonshot.cn>
- Introduced a new script `run_multienv_o3.py` to facilitate end-to-end evaluation across multiple environments.
- Implemented command-line argument parsing for various configurations including environment settings, logging levels, and AWS parameters.
- Integrated signal handling for graceful shutdown of environments and processes.
- Enhanced logging capabilities for better traceability during execution.
- Maintained existing logic from previous scripts while introducing new functionalities for improved evaluation processes.
- Introduced `--client_password` argument in `run_multienv_aguvis.py`, `run_multienv_claude.py`, and `run_multienv_gta1.py` for enhanced security and flexibility.
- Updated agent classes (`PromptAgent`, `AguvisAgent`, `GTA1Agent`) to accept and utilize `client_password` for improved configuration.
- Modified evaluation guidelines to reflect the new client password requirement.
- Ensured existing logic remains intact while enhancing functionality for better user experience.
- Added DummyAgent class to facilitate coordinate generation and action assignment.
- Updated GTA1Agent to utilize DummyAgent for improved planning and execution.
- Increased max_steps and N_SEQ parameters for better performance.
- Enhanced logging for planning and execution processes.
- Maintained existing logic while integrating new functionality.
Enables GPT models to use custom API endpoints through OPENAI_BASE_URL environment variable. This addresses the limitation where only Azure OpenAI supported custom endpoints while standard GPT models were hardcoded to api.openai.com.
- Add intelligent URL handling to avoid duplicate /v1 paths
- Maintain backward compatibility with default OpenAI API
- Update README with configuration instructions
- Non-breaking change preserving existing functionality
Fixes API integration issues for users with custom OpenAI-compatible services.
- Introduced signal handling for graceful shutdown of environments and processes.
- Enhanced logging configuration to support dynamic log levels and structured output.
- Updated argument parsing to include new parameters for model selection and task execution.
- Refactored task distribution logic to streamline environment task management.
- Improved error handling during task execution and environment cleanup.
- Adjusted Qwen25VLAgent initialization to support new model and thought prefix options.
- Reduced max tries for LLM calls to optimize performance.
