- Simplified the logic for determining support for reasoning based on the base URL by introducing clearer variable names.
- Added product attribution for the Nous Portal to the extra body of requests when applicable, enhancing tagging for better tracking.
- Implemented dynamic loading of environment variables and configuration from a YAML file to ensure fresh credentials for the GatewayRunner.
- Improved error handling during the loading process to accommodate different encoding scenarios and potential exceptions.
- Updated exception handling in multiple prompt functions to catch NotImplementedError alongside ImportError, improving robustness across the application.
- Ensured fallback mechanisms are clearly documented for better understanding of platform limitations.
- Updated the SSH cloning process to include a cleanup step for partial clones if the SSH attempt fails, improving the fallback to HTTPS.
- Modified output messages for clarity, including renaming the gateway installation command to better reflect its function.
- Added GIT_SSH_COMMAND to disable interactive prompts and set a timeout for SSH cloning, enhancing the cloning process for private repositories.
- Implemented cleanup of partial SSH clones if the SSH attempt fails, ensuring a smoother fallback to HTTPS cloning.
- Introduced a new section in the README outlining the benefits and configurations for running Hermes with a sandboxed terminal backend.
- Provided examples for SSH, Docker, and Modal cloud sandbox setups to enhance security and isolation during command execution.
- Deleted the `huggingface-accelerate` skill documentation, which included details on distributed training and common workflows.
- Removed `custom-plugins.md`, `megatron-integration.md`, `performance.md`, and other related reference documents that were no longer relevant or necessary.
- This cleanup aims to streamline the MLOps skills repository and improve maintainability.
- Introduced a new static method `_clean_session_content` in the `AIAgent` class to convert REASONING_SCRATCHPAD tags to <think> blocks and clean up whitespace in session logs.
- Updated the `_save_session_log` method to utilize the cleaned content for assistant messages, ensuring consistency in session logs.
- Changed the default output directory for TTS audio files from `~/voice-memos` to `~/.hermes/audio_cache`, reflecting a more appropriate storage location.
- Updated the `clear_interrupt` method to also reset the global tool interrupt signal, improving the clarity of interrupt management within the agent.
- This change ensures that all interrupt states are properly cleared, enhancing the reliability of the agent's operation.
- Included a note clarifying that the agent's final response is auto-delivered to the target, advising against using send_message in the prompt. This enhances user understanding of the message delivery process.
- Implemented dynamic loading of environment variables and configuration settings for job execution, allowing for real-time updates without restarting the gateway.
- Enhanced model and API configuration retrieval from both environment variables and a YAML configuration file, improving flexibility and adaptability of the job execution process.
- Added overflow-x hidden to prevent horizontal scrolling on the landing page.
- Updated mobile styles for various elements including hero, sections, and grids to improve layout and readability on smaller screens.
- Adjusted padding, font sizes, and display properties for better user experience across devices.
- Revised the title and description in the landing page to better convey the agent's adaptability and user-centric features.
- Enhanced Open Graph description for improved social media sharing and clarity of the agent's capabilities.
- Eliminated the temporary debug logging in the `execute_code` function that tracked enabled and sandbox tools, streamlining the code and reducing clutter.
- Modified the `_wrap` function to append a failure suffix without applying red coloring, simplifying the failure message format.
- Introduced temporary debug logging in the `execute_code` function to track enabled and sandbox tools, aiding in troubleshooting.
- Changed the hero title from "An AI agent you can actually live with." to "An agent that grows with you." to better reflect the agent's adaptability and user-centric approach.
- This update aims to enhance the overall appeal and clarity of the landing page content.
- Saved and restored stdout/stderr to prevent redirection issues in child threads, ensuring consistent output during task delegation.
- Enhanced reliability of output handling in concurrent execution scenarios.
- Added a new function to resolve child sessions to their parent, improving session grouping and deduplication.
- Refactored session summarization to run in parallel, enhancing performance and responsiveness.
- Updated search syntax documentation to clarify usage of keywords and phrases for better search results.
- Captured stdout at spinner creation to prevent redirection issues from child agents.
- Replaced direct print statements with a new `_write` method for consistent output handling during spinner animation and final message display.
- Enhanced code maintainability and clarity by centralizing output logic.
- Eliminated the `_raw_write` function to simplify output handling in the `KawaiiSpinner` class.
- Updated spinner animation and final message display to use standard print statements, ensuring compatibility with prompt_toolkit.
- Improved code clarity and maintainability by reducing complexity in the output rendering process.
- Added a new function `_raw_write` to write directly to stdout, bypassing prompt_toolkit's interference with ANSI escapes and carriage returns.
- Updated the `KawaiiSpinner` class to utilize `_raw_write` for rendering spinner animations and final messages, ensuring proper display in terminal environments.
- Improved the clarity of output handling during spinner operations, enhancing user experience during tool execution.
- Introduced a new configuration option for reasoning effort in the CLI, allowing users to specify the level of reasoning the agent should perform before responding.
- Updated the CLI and agent initialization to incorporate the reasoning configuration, enhancing the agent's responsiveness and adaptability.
- Implemented logic to load reasoning effort from environment variables and configuration files, providing flexibility in agent behavior.
- Enhanced the documentation in the example configuration file to clarify the new reasoning effort options available.
- Introduced a new landing page with HTML, CSS, and JavaScript files to showcase the Hermes Agent.
- Added a banner image and logo to enhance visual appeal.
- Implemented interactive features such as a copy-to-clipboard function for installation commands and scroll-triggered animations for improved user engagement.
- Designed a responsive layout with sections detailing the agent's features, installation instructions, and community links.
- Implemented functionality to load ephemeral prefill messages from a JSON file, enhancing few-shot priming capabilities for the agent.
- Introduced a mechanism to load an ephemeral system prompt from environment variables or configuration files, ensuring dynamic prompt adjustments at API-call time.
- Updated the CLI and agent initialization to utilize the new prefill messages and system prompt, improving the overall interaction experience.
- Enhanced configuration options with new environment variables for prefill messages and system prompts, allowing for greater customization without persistence.
- Added a new section in the README for Inference Providers, detailing setup instructions for Nous Portal, OpenRouter, and Custom Endpoints, improving user guidance for LLM connections.
- Updated messaging platform setup instructions to include Slack and WhatsApp, providing clearer steps for configuration.
- Introduced a new environment variable, TERMINAL_SANDBOX_DIR, to allow users to customize the sandbox storage location for Docker and Singularity environments.
- Refactored the Docker and Singularity environment classes to utilize the new sandbox directory for persistent workspaces, enhancing organization and usability.
- Improved handling of working directories across various environments, ensuring compatibility and clarity in execution paths.
- Updated the README to include new badges, a detailed description of the Hermes Agent, and a table summarizing its features, improving clarity and presentation for users.
- Modified the API client initialization in `transcription_tools.py` and `tts_tool.py` to include a base URL, ensuring compatibility with the OpenAI API.
- Introduced a new mapping for toolset environment variable requirements, enhancing the configuration process by prompting users for missing API keys.
- Implemented a function to check and prompt users for necessary API keys when enabling toolsets, improving user experience and ensuring proper setup.
- Updated the tools command to integrate the new API key checks, streamlining the configuration workflow for users.
- Updated messaging in the checklist prompts to simplify instructions for item selection, changing "Press SPACE to select items, then ENTER on Continue" to "SPACE to toggle, ENTER to confirm."
- Removed the "Continue →" entry from the menu items to streamline the selection process.
- Enhanced user experience by clarifying input prompts and removing unnecessary options, ensuring a more intuitive interaction.
- Updated the display format of tool descriptions in the configuration prompts to enhance readability.
- Simplified the messaging for enabled tool counts, removing unnecessary color formatting for a cleaner output.
- Streamlined the exit message for the configuration process, improving user experience during tool setup.
- Introduced a new `tools` command in the CLI for configuring enabled tools per platform.
- Implemented an interactive checklist for users to enable or disable toolsets for various platforms, enhancing customization options.
- Created a new `tools_config.py` file to handle the logic for toolset management and user prompts, improving code organization and user experience.
- Introduced a new helper function to handle API key prompts, improving code organization and readability.
- Enhanced user experience by providing a formatted display for API key input, including tool descriptions and URLs.
- Simplified the setup wizard by replacing inline API key handling with the new helper function, ensuring consistent messaging and feedback during configuration.
- Modified the prompt in the setup wizard to clarify the selection process, instructing users to press SPACE to select items and ENTER to continue, enhancing user experience during configuration.
- Updated the setup wizard to present messaging platforms as a checklist, allowing users to select which platforms to configure.
- Preserved the order of platforms while grouping them for improved clarity.
- Enhanced user prompts for setting up each selected messaging platform, streamlining the configuration process.
- Changed default value for HERMES_TOOL_PROGRESS from "false" to "true" to enable tool progress notifications by default.
- Updated default value for HERMES_TOOL_PROGRESS_MODE from "new" to "all" to provide more comprehensive progress updates.
- Enhanced the setup wizard prompts for enabling tool progress messages and context compression, improving user guidance and experience.
- Updated the OPTIONAL_ENV_VARS dictionary to include a new "category" field for better organization of environment variables.
- Improved the setup wizard to categorize missing optional environment variables into tools and messaging platforms, enhancing user experience during configuration.
- Streamlined the prompts for configuring tools and messaging platforms, allowing for a more intuitive setup process.
- Updated the environment variable name from HERMES_OPENAI_API_KEY to VOICE_TOOLS_OPENAI_KEY across multiple files to avoid interference with OpenRouter.
- Adjusted related error messages and configuration prompts to reflect the new variable name, ensuring consistency throughout the codebase.
