Add comprehensive authentication and authorization enhancements:
- tokens.go: New token management system for public task access and cloning
* SHA-256 hashed token storage for security
* Token generation, validation, and automatic cleanup
* Support for public access and clone permissions
- api_key.go: Extend User struct with Groups field
* Lab group membership (ml-lab, nlp-group)
* Integration with permission system for group-based access
- flags.go: Security hardening - migrate to structured logging
* Replace log.Printf with log/slog to prevent log injection attacks
* Consistent structured output for all auth warnings
* Safe handling of file paths and errors in logs
- permissions.go: Add task sharing permission constants
* PermissionTasksReadOwn: Access own tasks
* PermissionTasksReadLab: Access lab group tasks
* PermissionTasksReadAll: Admin/institution-wide access
* PermissionTasksShare: Grant access to other users
* PermissionTasksClone: Create copies of shared tasks
* CanAccessTask() method with visibility checks
- database.go: Improve error handling
* Add structured error logging on row close failures
Update authentication system for multi-tenant support:
- API key management with tenant scoping
- Permission checks for multi-tenant operations
- Database layer with tenant isolation
- Keychain integration with audit logging
- Fix YAML tags in auth config struct (json -> yaml)
- Update CLI configs to use pre-hashed API keys
- Remove double hashing in WebSocket client
- Fix port mapping (9102 -> 9103) in CLI commands
- Update permission keys to use jobs:read, jobs:create, etc.
- Clean up all debug logging from CLI and server
- All user roles now authenticate correctly:
* Admin: Can queue jobs and see all jobs
* Researcher: Can queue jobs and see own jobs
* Analyst: Can see status (read-only access)
Multi-user authentication is now fully functional.
- Add API server with WebSocket support and REST endpoints
- Implement authentication system with API keys and permissions
- Add task queue system with Redis backend and error handling
- Include storage layer with database migrations and schemas
- Add comprehensive logging, metrics, and telemetry
- Implement security middleware and network utilities
- Add experiment management and container orchestration
- Include configuration management with smart defaults
