Add a /send-media endpoint to the WhatsApp bridge and corresponding
adapter methods so the agent can send files as native WhatsApp
attachments instead of plain-text URLs/paths.
- bridge.js: new POST /send-media endpoint using Baileys' native
image/video/document/audio message types with MIME detection
- base.py: add send_video(), send_document(), send_image_file()
with text fallbacks; route MEDIA: tags by file extension instead
of always treating them as voice messages
- whatsapp.py: implement all media methods via a shared
_send_media_to_bridge() helper; override send_image() to download
URLs to local cache and send as native photos
- prompt_builder.py: update WhatsApp and Telegram platform hints so
the agent knows it can use MEDIA:/path tags to send native media
os.setsid, os.killpg, and os.getpgid do not exist on Windows and raise
AttributeError on import or first call. This breaks the terminal tool,
code execution sandbox, process registry, and WhatsApp bridge on Windows.
Added _IS_WINDOWS platform guard in all four affected files, following
the pattern documented in CONTRIBUTING.md. On Windows, preexec_fn is
set to None and process termination falls back to proc.terminate() /
proc.kill() instead of process group signals.
Files changed:
- tools/environments/local.py (3 call sites)
- tools/process_registry.py (2 call sites)
- tools/code_execution_tool.py (3 call sites)
- gateway/platforms/whatsapp.py (3 call sites)
- 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.
- 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.
- 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.
