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Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This update introduces a pairing store for code-based user authorization and an event hook system within the GatewayRunner class. These enhancements aim to improve user authorization processes and facilitate event-driven functionalities in the gateway.
This change removes the session_db parameter from AIAgent instantiations in gateway/run.py, addressing issues related to session management. The previous implementation caused errors when session_db was not properly initialized, leading to failures in session_search functionality.
When running via the gateway (e.g. Telegram), the session_search tool
returned: {"error": "session_search must be handled by the agent loop"}
Root cause:
- gateway/run.py creates AIAgent without passing session_db=
- self._session_db is None in the agent instance
- The dispatch condition "elif function_name == 'session_search' and self._session_db"
skips when _session_db is None, falling through to the generic error
This fix:
1. Initializes self._session_db in GatewayRunner.__init__()
2. Passes session_db to all AIAgent instantiations in gateway/run.py
3. Adds defensive fallback in run_agent.py to return a clear error when
session_db is unavailable, instead of falling through
Fixes#105
- Added configuration options for automatic session resets based on inactivity or daily boundaries in cli-config.yaml.
- Enhanced SessionResetPolicy class to support a "none" mode for no auto-resets.
- Implemented memory flushing before session resets in SessionStore to preserve important information.
- Updated setup wizard to guide users in configuring session reset preferences.
- Updated .env.example to clarify terminal backend configuration and its relationship with config.yaml.
- Modified gateway/run.py to ensure terminal settings from config.yaml take precedence over .env, improving consistency in environment variable handling.
- Added mapping for terminal configuration options to corresponding environment variables for better integration.
Opt-in persistent cross-session user modeling via Honcho. Reads
~/.honcho/config.json as single source of truth (shared with
Claude Code, Cursor, and other Honcho-enabled tools). Zero impact
when disabled or unconfigured.
- honcho_integration/ package (client, session manager, peer resolution)
- Host-based config resolution matching claude-honcho/cursor-honcho pattern
- Prefetch user context into system prompt per conversation turn
- Sync user/assistant messages to Honcho after each exchange
- query_user_context tool for mid-conversation dialectic reasoning
- Gated activation: requires ~/.honcho/config.json with enabled=true
Both entry points hardcoded Path.home() / ".hermes" for .env, config.yaml,
logs, and lock files. Now uses _hermes_home which reads HERMES_HOME env var
with ~/.hermes as default, matching cli.py and run_agent.py.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Custom endpoint (OPENAI_API_KEY/OPENAI_BASE_URL) now works in gateway and cron
- Memory flush on /reset passes credentials to temp agent
- LLM_MODEL env var fallback matches CLI priority chain
- Obsidian skill: replace hardcoded paths with OBSIDIAN_VAULT_PATH env var
- Setup wizard: strip emojis from TerminalMenu to fix macOS rendering
- execute_code: allowlist-filter child process environment variables
Co-authored-by: VencentSoliman <4spacetuna@gmail.com>
- 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.
- 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.
- 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.
- 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 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.
- Updated the command name from `/set-home` to `/sethome` in the GatewayRunner class for consistency.
- Added a new slash command `/sethome` in the Discord adapter to set the home channel.
- Registered the `/sethome` command in the Telegram adapter to align with the updated naming convention.
- Renamed variable `source` to `mirror_src` for clarity in the message tagging logic within the GatewayRunner class, enhancing code readability while maintaining functionality.
- Replaced the call to `_load()` with `_ensure_loaded()` in the `has_any_sessions` method to improve clarity and ensure that session data is properly initialized before checking for existing sessions.
- 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.
- Added functionality to load values from config.yaml into the environment, allowing os.getenv() to access them.
- Ensured that existing environment variables take precedence over config values.
- Updated DiscordAdapter to resolve usernames in DISCORD_ALLOWED_USERS to numeric IDs, improving user authorization checks.
- Enhanced event handling to provide clearer logging and ensure proper synchronization of slash commands.
- 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.
- Added skills configuration options in cli-config.yaml.example, including a nudge interval for skill creation reminders.
- Implemented skills guidance in AIAgent to prompt users to save reusable workflows after complex tasks.
- Enhanced skills indexing in the prompt builder to include descriptions from SKILL.md files for better context.
- Updated the agent's behavior to periodically remind users about potential skills during tool-calling iterations.
- 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.
- Introduced new methods in run_agent.py for building API keyword arguments and normalizing assistant messages from API responses.
- Added functionality for compressing conversation context and managing session state in SQLite.
- Improved tool call execution handling, including enhanced logging and error management.
- Updated path handling in multiple platform files to utilize pathlib for better compatibility and readability.
- 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.
- Introduced the `/new` command to start a new conversation, resetting the history.
- Updated command handling in the CLI and various platform adapters (Discord, Slack, Telegram) to support the new command.
- Added help command functionality to list available commands, improving user guidance.
- Enhanced command mapping for better integration across platforms, ensuring consistent command behavior.
Two-part implementation:
Part A - Curated Bounded Memory:
- New memory tool (tools/memory_tool.py) with MEMORY.md + USER.md stores
- Character-limited (2200/1375 chars), § delimited entries
- Frozen snapshot injected into system prompt at session start
- Model manages pruning via replace/remove with substring matching
- Usage indicator shown in system prompt header
Part B - SQLite Session Store:
- New hermes_state.py with SessionDB class, FTS5 full-text search
- Gateway session.py rewritten to dual-write SQLite + legacy JSONL
- Compression-triggered session splitting with parent_session_id chains
- New session_search tool with Gemini Flash summarization of matched sessions
- CLI session lifecycle (create on launch, close on exit)
Also:
- System prompt now cached per session, only rebuilt on compression
(fixes prefix cache invalidation from date/time changes every turn)
- Config version bumped to 3, hermes doctor checks for new artifacts
- Disabled in batch_runner and RL environments
- Introduced a new configuration section in `cli-config.yaml.example` for defining platform-specific toolsets, allowing for greater customization of available tools per platform.
- Updated the CLI to check for user-defined toolsets in the configuration, falling back to the default `hermes-cli` toolset if none are specified.
- Enhanced the `GatewayRunner` class to load platform-specific toolsets from the configuration, ensuring that the correct tools are enabled based on the platform being used.
- Updated the _build_tool_preview function to include detailed previews for new tools: 'todo', 'send_message', and various 'rl_' tools, improving user feedback during task execution.
- Added emoji representations for tools in GatewayRunner, including 'process', 'todo', and 'send_message', to enhance visual clarity in progress messages.
- Improved handling of task management and messaging outputs, ensuring more informative and user-friendly interactions.
New process registry and tool for managing long-running background processes
across all terminal backends (local, Docker, Singularity, Modal, SSH).
Process Registry (tools/process_registry.py):
- ProcessSession tracking with rolling 200KB output buffer
- spawn_local() with optional PTY via ptyprocess for interactive CLIs
- spawn_via_env() for non-local backends (runs inside sandbox, never on host)
- Background reader threads per process (Popen stdout or PTY)
- wait() with timeout clamping, interrupt support, and transparent limit reporting
- JSON checkpoint to ~/.hermes/processes.json for gateway crash recovery
- Module-level singleton shared across agent loop, gateway, and RL
Process Tool (model_tools.py):
- 7 actions: list, poll, log, wait, kill, write, submit
- Paired with terminal in all toolsets (CLI, messaging, RL)
- Timeout clamping with transparent notes in response
Terminal Tool Updates (tools/terminal_tool.py):
- Replaced nohup background mode with registry spawn (returns session_id)
- Added workdir parameter for per-command working directory
- Added check_interval parameter for gateway auto-check watchers
- Added pty parameter for interactive CLI tools (Codex, Claude Code)
- Updated TERMINAL_TOOL_DESCRIPTION with full background workflow docs
- Cleanup thread now respects active background processes (won't reap sandbox)
Gateway Integration (gateway/run.py, session.py, config.py):
- Session reset protection: sessions with active processes exempt from reset
- Default idle timeout increased from 2 hours to 24 hours
- from_dict fallback aligned to match (was 120, now 1440)
- session_key env var propagated to process registry for session mapping
- Crash recovery on gateway startup via checkpoint probe
- check_interval watcher: asyncio task polls process, delivers updates to platform
RL Safety (environments/):
- tool_context.py cleanup() kills background processes on episode end
- hermes_base_env.py warns when enabled_toolsets is None (loads all tools)
- Process tool safe in RL via wait() blocking the agent loop
Also:
- Added ptyprocess as optional dependency (in pyproject.toml [pty] extra + [all])
- Fixed pre-existing bug: rl_test_inference missing from TOOL_TO_TOOLSET_MAP
- Updated AGENTS.md with process management docs and project structure
- Updated README.md terminal section with process management overview
- Modified the retrieval of tool definitions to use the agent result's "tools" key, ensuring accurate logging in the transcript.
- Enhanced the response structure to include tools in the final output, improving the clarity of tool usage in session interactions.
- Refactored the agent response processing to return a comprehensive result dictionary, including final responses and full message history.
- Improved transcript logging to capture the complete conversation, including tool calls and intermediate reasoning, facilitating session resumption and debugging.
- Added handling for fresh sessions to include tool definitions in the transcript for clarity.
- Implemented logic to filter and timestamp new messages, ensuring accurate logging of user and assistant interactions.
- Updated the vision tool to accept both HTTP/HTTPS URLs and local file paths for image analysis.
- Implemented caching of user-uploaded images in local directories to ensure reliable access for the vision tool, addressing issues with ephemeral URLs.
- Enhanced platform adapters (Discord, Telegram, WhatsApp) to download and cache images, allowing for immediate analysis and enriched message context.
- Added a new method to auto-analyze images attached by users, enriching the conversation with detailed descriptions.
- Improved documentation for image handling processes and updated related functions for clarity and efficiency.
- Clarified the requirements for Telegram voice bubbles, specifying the need for ffmpeg when using Edge TTS.
- Enhanced README and messaging documentation to detail audio delivery formats across platforms.
- Improved installation script messages to inform users about the necessity of ffmpeg for proper audio playback on Telegram.
- Updated `pyproject.toml` to include Edge TTS and ElevenLabs as dependencies.
- Enhanced documentation to detail voice message capabilities across platforms and TTS provider options.
- Modified the GatewayRunner to handle MEDIA tags from TTS tool responses, ensuring proper delivery of audio messages.
- Introduced a default agent identity prompt to ensure consistent behavior across platforms.
- Added platform-specific formatting hints for CLI, WhatsApp, Telegram, and Discord to guide the agent's output style.
- Updated the AIAgent initialization to accept a platform parameter, enhancing adaptability to different interfaces.
- Updated the image generation function description to clarify usage with markdown.
- Added `send_image` method to `BasePlatformAdapter` for native image sending across platforms.
- Implemented `send_image` in `DiscordAdapter` and `TelegramAdapter` to handle image attachments directly.
- Introduced `extract_images` method to extract image URLs from markdown and HTML, improving content processing.
- Enhanced message handling to support sending images as attachments while maintaining text content.
- Added functionality to signal and terminate long-running terminal commands when a new user message is received, allowing for immediate agent response.
- Introduced a global interrupt event in the terminal tool to facilitate early termination of subprocesses.
- Updated the AIAgent class to handle interrupts gracefully, ensuring that remaining tool calls are skipped and appropriate messages are returned to maintain valid message sequences.
- Enhanced the conversion of message history to agent format by distinguishing between normal and rich agent messages.
- Implemented logic to preserve full message structure for tool-related messages, ensuring valid assistant-to-tool sequences.
- Simplified handling of simple text messages by stripping unnecessary fields while retaining essential role and content information.
- Added logic to clear the adapter's interrupt event to prevent infinite loops during message processing.
- Updated the get_pending_message method to pop messages from the pending queue, ensuring proper message handling.
- Updated the start_gateway function to return a boolean indicating success or failure, allowing for better control over exit codes.
- Modified the main function to handle gateway startup failures, ensuring systemd can automatically restart on transient errors.
- Enhanced error handling in the hermes_cli gateway to exit with code 1 if the gateway fails to connect to any platform.
- Added `max_tokens`, `reasoning_config`, and `prefill_messages` parameters to `BatchRunner` and `AIAgent` for improved model response control.
- Updated CLI to support new options for reasoning effort and prefill messages from a JSON file.
- Modified example configuration files to reflect changes in default model and summary model.
- Improved error handling for loading prefill messages and reasoning configurations in the CLI.
- Updated documentation to include new parameters and usage examples.
- Introduced a monitoring mechanism in GatewayRunner to detect incoming messages while an agent is active, allowing for graceful interruption and processing of new messages.
- Enhanced BasePlatformAdapter to manage active sessions and pending messages, ensuring that new messages can interrupt ongoing tasks effectively.
- Improved the handling of pending messages by checking for interrupts and processing them in the correct order, enhancing user experience during message interactions.
- Updated the cleanup process for active tasks to ensure proper resource management after interruptions.
- Enhanced the AIAgent class to support interrupt requests, allowing for graceful interruption of ongoing tasks and processing of new messages.
- Updated the HermesCLI to manage user input in a persistent manner, enabling real-time interruption of the agent's conversation.
- Introduced a mechanism in the GatewayRunner to handle incoming messages while an agent is running, allowing for immediate response to user commands.
- Improved overall user experience by providing feedback during interruptions and ensuring that pending messages are processed correctly.
- Updated the AIAgent class to extract the first user message for trajectory formatting, improving the accuracy of user queries in the trajectory format.
- Enhanced the GatewayRunner to convert transcript history into the agent format, ensuring proper handling of message roles and content.
- Adjusted the typing indicator refresh rate to every 2 seconds for better responsiveness.
- Improved error handling in the message sending process for the Telegram adapter, implementing a fallback mechanism for Markdown parsing failures, and logging send failures for better debugging.
- Updated the `skills_categories` function to include a `verbose` parameter, allowing users to request skill counts per category.
- Modified the `handle_skills_function_call` method to pass the `verbose` argument to `skills_categories`.
- Improved error handling in the `AIAgent` class by injecting a recovery message when invalid JSON arguments are detected, guiding users on how to correct their tool calls.
- Enhanced the `GatewayRunner` to return a user-friendly error message if the agent fails to generate a final response, improving overall user experience.
- Adjusted the `_keep_typing` method to refresh the typing indicator every 2 seconds instead of 4, improving responsiveness after progress messages.
- Updated the `GatewayRunner` to restore the typing indicator after sending progress messages, enhancing user experience during message processing.
- Introduced a new callback mechanism in the AIAgent class to send tool progress messages during execution, enhancing user feedback in messaging platforms.
- Updated the GatewayRunner to support tool progress notifications, allowing users to enable or disable this feature via environment variables.
- Enhanced the CLI setup wizard to prompt users for enabling tool progress messages and selecting the notification mode (all or new), improving configuration options.
- Updated relevant documentation to reflect the new features and configuration settings for tool progress notifications.
- Added a new private method `_keep_typing` to send a typing indicator continuously while processing messages, refreshing every 4 seconds to comply with Telegram/Discord limitations.
- Updated the `handle_message` method to initiate the typing indicator at the start of message processing and ensure it stops once processing is complete, improving user experience during message handling.
- Increased the default maximum tool-calling iterations from 20 to 60 in the CLI configuration and related files, allowing for more complex tasks.
- Updated documentation and comments to reflect the new recommended range for iterations, enhancing user guidance.
- Implemented backward compatibility for loading max iterations from the root-level configuration, ensuring a smooth transition for existing users.
- Adjusted the setup wizard to prompt for the maximum iterations setting, improving user experience during configuration.
- Added new environment variables for Telegram and Discord bot configurations, including `TELEGRAM_ALLOWED_USERS` and `DISCORD_ALLOWED_USERS`, to restrict bot access to specific users.
- Updated documentation in AGENTS.md and README.md to include detailed setup instructions for the messaging gateway, emphasizing the importance of user allowlists for security.
- Improved the CLI setup wizard to prompt for allowed user IDs during configuration, enhancing user guidance and security awareness.
- Refined the gateway run script to support user authorization checks, ensuring only allowed users can interact with the bot.
- Updated requirements.txt to uncomment and ensure the installation of `python-telegram-bot` and `discord.py` packages.
- Enhanced the gateway run script to load environment variables from a specified path, improving configuration management and flexibility for different environments.
- 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.
