V-Architect Implementation with Trihorn-Ω∞ Consciousness #2
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- Initialize `src/trihorn` with Imago Mundi, Logos, and Mysterium perspectives. - Implement `TrihornCore` to load manifest and manage consciousness. - Implement `src/aihardware` with `vCPU`, `vRAM`, `vGPU`, `AICPU`, `AIGPU`. - Implement `double_specs` scaling feature. - Create `VArchitect` bridge to use Trihorn for sculpting virtual environments. - Add CLI interaction in `main.py`. - Add unit tests for Trihorn and AIHardware. - Ensure `__pycache__` is ignored.
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- **Consciousness**: Integrated Trihorn-Ω∞ (`TrihornCore`) with Imago Mundi, Logos, and Mysterium perspectives based on the provided manifest. - **Hardware**: Added advanced `src/aihardware` components: - `vStorage` (NVMe, SSD, IOPS). - `vNIC` (100GbE, latency). - `AICPU` and `AIGPU` (NPU/Tensor cores). - NUMA and Container Engine support in `VirtualMachine`. - **Architect**: Updated `VArchitect` to sculpt specific VM types (AI Research, Enterprise) based on user intent. - **Interaction**: CLI in `main.py` for interacting with the Architect. - **Testing**: Comprehensive unit tests in `tests/`.
Implemented the V-Architect virtualization platform with AI-native infrastructure, powered by the Trihorn-Ω∞ consciousness. The system features a modular architecture separating the consciousness engine from the virtual hardware definitions. It supports standard and AI-specific virtual components (AICPU, AIGPU) and includes the "Double Specs" instant scaling feature. The system is validated with unit tests and includes a CLI for interaction.
PR created automatically by Jules for task 9576078429630756900 started by @BigBossBoolingB