- Modified `model_tools.py` to update default model IDs and add new RL function `rl_test_inference`.
- Enhanced `README.md` with installation instructions for submodules and updated API key usage.
- Improved `rl_cli.py` to load configuration from `~/.hermes/config.yaml` and set terminal working directory for RL tools.
- Updated `run_agent.py` to handle empty string arguments as empty objects for better JSON validation.
- Refined installation scripts to ensure submodules are cloned and installed correctly, enhancing setup experience.
- Updated the setup wizard and installation scripts to standardize the configuration file paths under ~/.hermes, enhancing clarity for users.
- Improved messaging in the CLI to clearly indicate where configuration files and data directories are located.
- Streamlined the creation of configuration files, ensuring they are easily accessible and organized within the new directory structure.
- Updated the install script to attempt cloning via SSH first for private repositories, falling back to HTTPS if the SSH method fails.
- Added detailed error handling and user guidance for SSH key setup, improving the installation experience for users with private repositories.
- Modified the install script to include separate variables for SSH and HTTPS repository URLs, enhancing flexibility for users during the cloning process.
- This change allows users to choose their preferred method of accessing the repository, improving the overall installation experience.
- Updated the install script to support both SSH and HTTPS cloning methods for the repository, improving flexibility for users with different access configurations.
- Added error handling and informative logging to guide users in case of cloning failures, particularly for private repositories requiring SSH key setup.
- Refactored the cloning logic to attempt SSH first, falling back to HTTPS if necessary, ensuring a smoother installation experience.
- Updated CLI to load configuration from user-specific and project-specific YAML files, prioritizing user settings.
- Introduced a new command `/platforms` to display the status of connected messaging platforms (Telegram, Discord, WhatsApp).
- Implemented a gateway system for handling messaging interactions, including session management and delivery routing for cron job outputs.
- Added support for environment variable configuration and a dedicated gateway configuration file for advanced settings.
- Enhanced documentation in README.md and added a new messaging.md file to guide users on platform integrations and setup.
- Updated toolsets to include platform-specific capabilities for Telegram, Discord, and WhatsApp, ensuring secure and tailored interactions.
- Introduced mini_swe_runner.py for executing tasks using mini-swe-agent environments (local, Docker, Modal) and outputting trajectories in Hermes format.
- Implemented trajectory_compressor.py to post-process agent trajectories, compressing them within a target token budget while preserving essential content.
- Added trajectory_compression.yaml configuration file for customizable compression settings.
- Created sample_and_compress.py script to download, sample, and compress trajectories from HuggingFace datasets.
- Enhanced logging and error handling across new modules for improved usability and debugging.
