Major Improvements:
- Added retry deployment buttons in machine list for failed deployments
- Added retry button in SSH console modal footer for enhanced UX
- Enhanced deployment process with comprehensive cleanup of existing services
- Improved binary installation with password-based sudo authentication
- Updated configuration generation to include all required sections (agent, ai, network, security)
- Fixed deployment verification and error handling
Security Enhancements:
- Enhanced verifiedStopExistingServices with thorough cleanup process
- Improved binary copying with proper sudo authentication
- Added comprehensive configuration validation
UX Improvements:
- Users can retry deployments without re-running machine discovery
- Retry buttons available from both machine list and console modal
- Real-time deployment progress with detailed console output
- Clear error states with actionable retry options
Technical Changes:
- Modified ServiceDeployment.tsx with retry button components
- Enhanced api/setup_manager.go with improved deployment functions
- Updated main.go with command line argument support (--config, --setup)
- Added comprehensive zero-trust security validation system
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Fixed module path from github.com/deepblackcloud/bzzz to github.com/anthonyrawlins/bzzz
- Added dynamic Ollama model detection via /api/tags endpoint
- Implemented intelligent model selection through N8N webhook integration
- Added BZZZ_MODEL_SELECTION_WEBHOOK environment variable support
- Fixed GitHub assignee issue by using valid username instead of peer ID
- Added comprehensive model fallback mechanisms
- Updated all import statements across the codebase
- Removed duplicate systemd service file
- Added sandbox execution environment and type definitions
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
This commit introduces the new 'reasoning' module, which allows the bzzz-agent to connect to a local Ollama instance.
It also modifies the 'github' integration module to use this new capability. When a task is claimed, the agent now generates a step-by-step execution plan using an Ollama model and publishes this plan to the Antennae meta-discussion channel for peer review before proceeding.
This completes Phase 1 of the Ollama integration plan.
