* fix(gateway): prevent auth bypass when behind unconfigured reverse proxy
When proxy headers (X-Forwarded-For, X-Real-IP) are present but
gateway.trustedProxies is not configured, the gateway now treats
connections as non-local. This prevents a scenario where all proxied
requests appear to come from localhost and receive automatic trust.
Previously, running behind nginx/Caddy without configuring trustedProxies
would cause isLocalClient=true for all external connections, potentially
bypassing authentication and auto-approving device pairing.
The gateway now logs a warning when this condition is detected, guiding
operators to configure trustedProxies for proper client IP detection.
Also adds documentation for reverse proxy security configuration.
* fix: harden reverse proxy auth (#1795) (thanks @orlyjamie)
---------
Co-authored-by: orlyjamie <orlyjamie@users.noreply.github.com>
Co-authored-by: Peter Steinberger <steipete@gmail.com>
* feat: audit fixes and documentation improvements
- Refactored model selection to drop legacy fallback and add warning
- Improved heartbeat content validation
- Added Skill Creation guide
- Updated CONTRIBUTING.md with roadmap
* style: fix formatting in model-selection.ts
* style: fix formatting and improve model selection logic with tests
Add documentation for running Clawdbot in a sandboxed macOS VM
using Lume. This provides an alternative to buying dedicated
hardware or using cloud instances.
The guide covers:
- Installing Lume on Apple Silicon Macs
- Creating and configuring a macOS VM
- Installing Clawdbot inside the VM
- Running headlessly for 24/7 operation
- iMessage integration via BlueBubbles
- Saving golden images for easy reset
Venice AI is a privacy-focused AI inference provider with support for
uncensored models and access to major proprietary models via their
anonymized proxy.
This integration adds:
- Complete model catalog with 25 models:
- 15 private models (Llama, Qwen, DeepSeek, Venice Uncensored, etc.)
- 10 anonymized models (Claude, GPT-5.2, Gemini, Grok, Kimi, MiniMax)
- Auto-discovery from Venice API with fallback to static catalog
- VENICE_API_KEY environment variable support
- Interactive onboarding via 'venice-api-key' auth choice
- Model selection prompt showing all available Venice models
- Provider auto-registration when API key is detected
- Comprehensive documentation covering:
- Privacy modes (private vs anonymized)
- All 25 models with context windows and features
- Streaming, function calling, and vision support
- Model selection recommendations
Privacy modes:
- Private: Fully private, no logging (open-source models)
- Anonymized: Proxied through Venice (proprietary models)
Default model: venice/llama-3.3-70b (good balance of capability + privacy)
Venice API: https://api.venice.ai/api/v1 (OpenAI-compatible)
* feat: add chunking mode for outbound messages
- Introduced `chunkMode` option in various account configurations to allow splitting messages by "length" or "newline".
- Updated message processing to handle chunking based on the selected mode.
- Added tests for new chunking functionality, ensuring correct behavior for both modes.
* feat: enhance chunking mode documentation and configuration
- Added `chunkMode` option to the BlueBubbles account configuration, allowing users to choose between "length" and "newline" for message chunking.
- Updated documentation to clarify the behavior of the `chunkMode` setting.
- Adjusted account merging logic to incorporate the new `chunkMode` configuration.
* refactor: simplify chunk mode handling for BlueBubbles
- Removed `chunkMode` configuration from various account schemas and types, centralizing chunk mode logic to BlueBubbles only.
- Updated `processMessage` to default to "newline" for BlueBubbles chunking.
- Adjusted tests to reflect changes in chunk mode handling for BlueBubbles, ensuring proper functionality.
* fix: update default chunk mode to 'length' for BlueBubbles
- Changed the default value of `chunkMode` from 'newline' to 'length' in the BlueBubbles configuration and related processing functions.
- Updated documentation to reflect the new default behavior for chunking messages.
- Adjusted tests to ensure the correct default value is returned for BlueBubbles chunk mode.
