- Add "Security Hardening" section with table of protections from recent PRs
- Add "Reasoning Effort" config section under Features
- Add Slack and WhatsApp env vars to Environment Variables Reference
- Remove non-functional ANTHROPIC_API_KEY from env vars table
- Add `hermes whatsapp` to Commands section
Documentation (docs/messaging.md):
- Rewrite WhatsApp section to reflect Baileys bridge and `hermes whatsapp` flow
- Add Slack env vars, adapter to architecture diagram, and platform toolsets table
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.
Add comprehensive contributor guide covering:
- Development setup
- Project structure overview
- Code style guidelines
- How to add new tools
- How to add new skills
- Pull request process
- Commit message conventions
- Security considerations
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.
- Introduced a new skill for searching and retrieving academic papers from arXiv using their REST API, allowing searches by keyword, author, category, or ID.
- Added a helper script for clean output of search results, including options for sorting and filtering.
- Created a DESCRIPTION.md file outlining the purpose and functionality of the research skills.
- Introduced new skills for extracting text from PDFs, scanned documents, and images using OCR and document parsing tools.
- Added detailed documentation for usage and installation of `pymupdf` and `marker-pdf` for local extraction.
- Implemented scripts for text extraction with both lightweight and high-quality options, including support for various document formats.
- Updated web extraction functionality to handle PDF URLs directly, enhancing usability for academic papers and documents.
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.
- Implemented a check to determine if the hermes-gateway service is active after an update.
- Added logic to automatically restart the service if it is running, ensuring changes are applied without manual intervention.
- Updated user guidance to reflect the new auto-restart feature, removing the need for manual restart instructions.
- 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.
- 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.
- Added functionality to keep the .env file in sync with terminal configuration settings in config.yaml, ensuring terminal_tool can directly access necessary environment variables.
- Updated setup wizard to save selected backend and associated Docker image to .env for improved consistency and usability.
- Updated README to reflect the new command for configuring tools per platform.
- Modified tools_config.py to correct the handling of preselected entries in the toolset checklist, ensuring proper functionality during user interaction.
- 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 logic in _has_any_provider_configured to include OPENAI_BASE_URL as a valid provider variable, allowing local models to be recognized without an API key.
- Consolidated environment variable checks into a single tuple for better maintainability.
Closes#77. Users can now type /verbose in the CLI to toggle verbose
mode on or off without restarting. When enabled, full tool call
parameters, results, and debug logs are shown. The agent's
verbose_logging and quiet_mode flags are updated live, and Python
logging levels are reconfigured accordingly.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
USER.md stays in system prompt when Honcho is active -- prefetch is
additive context, not a replacement. Memory tool user observations
write to both USER.md (local) and Honcho (cross-session) simultaneously.
When Honcho is active:
- System prompt uses Honcho prefetch instead of USER.md
- memory tool target=user add routes to Honcho
- MEMORY.md untouched in all cases
When disabled, everything works as before.
Also wires up contextTokens config to cap prefetch size.
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
KawaiiSpinner used a two-phase clear+redraw approach: first write
\r + spaces to blank the line, then \r + new frame. When running
inside prompt_toolkit's patch_stdout proxy, each phase could trigger
a separate repaint, causing visible flickering every 120ms.
Replace with a single \r\033[K (carriage return + ANSI erase-to-EOL)
write so the line is cleared and redrawn atomically.
show_config() always checked cli-config.yaml in the project directory,
but load_cli_config() first looks at ~/.hermes/config.yaml. When the
user config existed, /config would display "cli-config.yaml (not found)"
even though configuration was loaded successfully from ~/.hermes/.
Use the same lookup order as load_cli_config and display the actual
resolved path.
max_turns used 60 as both the default and the sentinel to detect
whether the user passed the flag. This meant `--max-turns 60` was
indistinguishable from "not passed", so the env var
HERMES_MAX_ITERATIONS would silently override the explicit CLI value.
Change the default to None so any user-supplied value takes priority.
