- 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.
* feat: add claude support
* feat: add script for end-to-end evaluation with logging and task distribution
* feat&fix: add tool result handling and update model default in evaluation script
* chore: remove run_test_env.py script
* feat&fix: implement action parsing for tool calls and update default action space
* fix: update text formatting in action parsing and replace logger import
* feat&fix: implement action parsing for tool calls and add screen size handling
* feat: add setup instructions for Anthropic API integration
* feat: add notice about image size limitations for Anthropic API
* Delete test_env/logger.py
* Delete test_env/utils.py
* fix: update logger usage to use global logger and improve error handling
* feat&fix: add configuration management API endpoints and update UI for configuration selection
* feat&fix: update environment configuration, enhance task statistics, and improve UI responsiveness
* feat&fix: add configuration toggle button in UI and improve task loading performance
* feat&fix: add accuracy percentage display to score and style updates for UI
* feat: add claude support
* feat: add script for end-to-end evaluation with logging and task distribution
* feat&fix: add tool result handling and update model default in evaluation script
* chore: remove run_test_env.py script
* feat&fix: implement action parsing for tool calls and update default action space
* fix: update text formatting in action parsing and replace logger import
* feat&fix: implement action parsing for tool calls and add screen size handling
* feat: add setup instructions for Anthropic API integration
* feat: add notice about image size limitations for Anthropic API
* Delete test_env/logger.py
* Delete test_env/utils.py
