- Added _max_tokens_param method in AIAgent to return appropriate max tokens parameter based on the provider (OpenAI vs. others).
- Updated API calls in AIAgent to utilize the new max tokens handling.
- Introduced auxiliary_max_tokens_param function in auxiliary_client for consistent max tokens management across auxiliary clients.
- Refactored multiple tools to use auxiliary_max_tokens_param for improved compatibility with different models and providers.
- Removed fallback to OPENAI_API_KEY in favor of exclusively using VOICE_TOOLS_OPENAI_KEY for improved clarity and consistency.
- Updated environment variable checks to ensure only VOICE_TOOLS_OPENAI_KEY is considered, enhancing error handling and messaging.
- Updated the installation script to check for necessary build tools on Debian/Ubuntu systems and prompt the user to install them if missing.
- Improved user interaction by redirecting input from /dev/tty for prompts, ensuring compatibility when the script is piped from curl.
- Added checks to verify the successful installation of the main package and provide guidance if installation fails.
- Enhanced the handling of shell configuration files to ensure ~/.local/bin is added to PATH for various shell types.
The regex pattern for detecting recursive delete commands (rm -r, rm -rf,
etc.) incorrectly matched filenames starting with 'r' — e.g., 'rm readme.txt'
was flagged as 'recursive delete' because the dash-flag group was optional.
Fix: make the dash mandatory so only actual flags (-r, -rf, -rfv, -fr)
are matched. This eliminates false approval prompts for innocent commands
like 'rm readme.txt', 'rm requirements.txt', 'rm report.csv', etc.
Before: \brm\s+(-[^\s]*)?r — matches 'rm readme.txt' (false positive)
After: \brm\s+-[^\s]*r — requires '-' prefix, no false positives
- Introduced a static method to verify if the Docker storage driver supports the --storage-opt size= option.
- Enhanced resource argument handling in DockerEnvironment to conditionally include storage options based on the support check.
- Added caching for the support check result to optimize performance across instances.
The security scanner (skills_guard.py) was only wired into the hub install path.
All other write paths to persistent state — skills created by the agent, memory
entries, cron prompts, and context files — bypassed it entirely. This closes
those gaps:
- file_operations: deny-list blocks writes to ~/.ssh, ~/.aws, ~/.hermes/.env, etc.
- code_execution_tool: filter secret env vars from sandbox child process
- skill_manager_tool: wire scan_skill() into create/edit/patch/write_file with rollback
- skills_guard: add "agent-created" trust level (same policy as community)
- memory_tool: scan content for injection/exfil before system prompt injection
- prompt_builder: scan AGENTS.md, .cursorrules, SOUL.md for prompt injection
- cronjob_tools: scan cron prompts for critical threats before scheduling
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
When using Nous Portal (or any non-OpenRouter provider), child agents
spawned by delegate_task failed with "No pricing available" or "Unknown
model" errors because they had no valid API key.
The delegate tool passed base_url but not api_key to child AIAgent
instances. Without an explicit key, children fell back to the empty
OPENROUTER_API_KEY env var, causing auth failures.
Extract the parent's API key from _client_kwargs and pass it through.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Three issues prevented the Docker terminal backend from working:
1. `effective_image` was referenced but never defined — only the Modal
backend sets this variable. Use `image` directly instead.
2. `--storage-opt size=N` is unsupported on Docker Desktop for Mac
(requires overlay2 with xfs backing). Skip the flag on Darwin.
3. Docker requires absolute paths for `-w` (working directory) but the
default cwd was `~`, which Docker does not expand. Default to `/root`
and translate any `~` passed in from callers.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Added functionality to include product attribution tags for Nous Portal in auxiliary API calls.
- Introduced a mechanism to determine if the auxiliary client is backed by Nous Portal, affecting the extra body of requests.
- Updated various tools to utilize the new extra body configuration for enhanced tracking in API calls.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Introduced a shared interrupt signaling mechanism to allow tools to check for user interrupts during long-running operations.
- Updated the AIAgent to handle interrupts more effectively, ensuring in-progress tool calls are canceled and multiple interrupt messages are combined into one prompt.
- Enhanced the CLI configuration to include container resource limits (CPU, memory, disk) and persistence options for Docker, Singularity, and Modal environments.
- Improved documentation to clarify interrupt behaviors and container resource settings, providing users with better guidance on configuration and usage.
- Introduced a new channel directory to cache reachable channels/contacts for messaging platforms, enhancing the send_message tool's ability to resolve human-friendly names to numeric IDs.
- Added functionality to mirror sent messages into the target's session transcript, providing context for cross-platform message delivery.
- Updated the send_message tool to support listing available targets and improved error handling for channel resolution.
- Enhanced the gateway to build and refresh the channel directory during startup and at regular intervals, ensuring up-to-date channel information.
- Enhanced warning in `_deliver_result` to provide clearer instructions for setting the home channel.
- Updated error message in `send_message_tool` to specify how to set a home channel when no chat ID is provided, improving user guidance.
- Updated the authorization logic to include a per-platform allow-all flag for improved flexibility.
- Revised the order of checks to prioritize platform-specific allow-all settings, followed by environment variable allowlists and DM pairing approvals.
- Added global allow-all configuration for broader access control.
- Improved handling of allowlists by stripping whitespace and ensuring valid entries are processed.
- Introduced a new `_format_timestamp` function to convert Unix timestamps and ISO strings into a human-readable date format.
- Updated the session metadata handling to use the new formatting function for improved clarity in session start dates.
- Adjusted the output structure to reflect the change from "Session started" to "Session date" for better user understanding.
- Introduced MEMORY_GUIDANCE and SESSION_SEARCH_GUIDANCE to improve agent's contextual awareness and proactive assistance.
- Updated AIAgent to conditionally include tool-aware guidance in prompts based on available tools.
- Enhanced descriptions in memory and session search schemas for clearer user instructions on when to utilize these features.
- Removed legacy cron daemon functionality, integrating cron job execution directly into the gateway process for improved efficiency.
- Updated CLI commands to reflect changes, replacing `hermes cron daemon` with `hermes cron status` and enhancing documentation for cron job management.
- Clarified messaging in the README and other documentation regarding the gateway's role in managing cron jobs.
- Removed obsolete terminal_hecate tool and related configurations to simplify the codebase.
- Updated the environment creation condition to specifically check for "singularity" instead of allowing "local", ensuring more precise handling of environment types during task execution.
- Added functionality to suppress logging noise from specific modules when in quiet mode, improving user experience in CLI.
- Updated terminal_tool.py to change the log level for fallback directory usage from warning to debug, providing clearer context without cluttering logs.
- Added methods for handling sudo password and dangerous command approval prompts using a callback mechanism in cli.py.
- Integrated these prompts with the prompt_toolkit UI for improved user experience.
- Updated terminal_tool.py to support callback registration for interactive prompts, enhancing the CLI's interactivity.
- Introduced a background thread for API calls in run_agent.py to allow for interrupt handling during long-running operations.
- Enhanced error handling for interrupted API calls, ensuring graceful degradation of user experience.
- Introduced a new DebugSession class in tools/debug_helpers.py to centralize debug logging functionality, replacing duplicated code across various tool modules.
- Updated image_generation_tool.py, mixture_of_agents_tool.py, vision_tools.py, web_tools.py, and others to utilize the new DebugSession for logging tool calls and saving debug logs.
- Enhanced maintainability and consistency in debug logging practices across the codebase.
- Updated various modules including cli.py, run_agent.py, gateway, and tools to replace silent exception handling with structured logging.
- Improved error messages to provide more context, aiding in debugging and monitoring.
- Ensured consistent logging practices throughout the codebase, enhancing traceability and maintainability.
- Introduced logging functionality in cli.py, run_agent.py, scheduler.py, and various tool modules to replace print statements with structured logging.
- Enhanced error handling and informational messages to improve debugging and monitoring capabilities.
- Ensured consistent logging practices across the codebase, facilitating better traceability and maintenance.
- Revised descriptions for various tools in model_tools.py, browser_tool.py, code_execution_tool.py, delegate_tool.py, and terminal_tool.py to enhance clarity and reduce verbosity.
- Improved consistency in terminology and formatting across tool descriptions, ensuring users have a clearer understanding of tool functionalities and usage.
- Clarified the usage of the --cdp flag when connecting to an existing Browserbase session.
- Emphasized the importance of not using --session with --cdp to avoid creating a local browser instance in agent-browser >=0.13.
- Updated comments to reflect changes in per-task isolation management with AGENT_BROWSER_SOCKET_DIR.
- Increased the default session inactivity timeout from 2 to 5 minutes to accommodate LLM reasoning during multi-step tasks.
- Enhanced thread safety by implementing locks around session activity tracking and cleanup processes, allowing concurrent access by multiple subagents.
- Removed the stale daemon cleanup function, as it is no longer necessary with the updated session management approach.
- Updated logging and session cleanup logic to ensure proper handling of active sessions and associated resources.
- Updated the stale daemon cleanup function to support multiple patterns for identifying orphaned agent-browser processes, improving reliability across different versions.
- Added logging for stderr output during browser command execution to aid in diagnostics, particularly for capturing warnings from the agent-browser.
- Implemented a warning for empty snapshots returned from the agent-browser, indicating potential issues with stale daemons or CDP connections.
- Upgraded the agent-browser dependency from version 0.7.6 to 0.13.0 in package.json.
- Added functionality to kill stale agent-browser daemon processes in browser_tool.py to prevent orphaned instances from previous runs.
- Replaced getpass with direct reading from /dev/tty to enhance password input handling without echoing.
- Updated threading logic for password input to ensure proper cleanup and error handling.
- Improved visual feedback during password prompt, including clearer separation and timeout messaging.
- Enhanced user experience by providing immediate feedback on password input status.
- Added a spinner to visually indicate task delegation progress in quiet mode, improving user experience during batch processing.
- Implemented a method to update spinner text dynamically based on remaining tasks, providing real-time feedback.
- Enhanced the `delegate_task` function to include per-task completion messages, ensuring clarity on task status during execution.
- Updated the KawaiiSpinner class to allow message updates while running, facilitating better interaction during long-running tasks.
- Introduced the `delegate_task` tool, allowing the main agent to spawn child AIAgent instances with isolated context for complex tasks.
- Supported both single-task and batch processing (up to 3 concurrent tasks) to enhance task management capabilities.
- Updated configuration options for delegation, including maximum iterations and default toolsets for subagents.
- Enhanced documentation to provide clear guidance on using the delegation feature and its configuration.
- Added comprehensive tests to ensure the functionality and reliability of the delegation logic.
