2 Commits

Author	SHA1	Message	Date
GlyphRunner System	69c97e125a	Extend XIC v1 Engine with Symbolic Mode, 5 New Ops, GPU Path, Cognition Integration ... New instructions: - STREAM: Line-by-line execution and output - CHAIN: Named execution boundaries - CALL_GLYPH: Invoke glyph-aware cognition - SET_CONTEXT: Set symbolic/cognitive context metadata - LOG: Structured logging Symbolic execution mode: - SET_MODE "symbolic" routes prompts through LAIN 8-lane cognition pipeline - run_symbolic_prompt() compresses prompt, builds manifest, executes via execute_symbolic() - Full integration with glyphos/cognitive_kernel.py GPU-accelerated path: - xic_extensions/gpu_runtime.py: has_gpu() probes torch.cuda, run_on_gpu() executes - SET_PARAM "use_gpu" true enables GPU (auto-fallback to CPU if unavailable) - No required GPU dependencies; system works equally on CPU Demo programs: - demo_symbolic.gx.json: Shows symbolic mode through LAIN pipeline - demo_gpu.gx.json: Shows GPU mode with CPU fallback Backward compatibility: - All 4 original ops unchanged; 5 new ops added to OP_TABLE - xic_vm.py, xic_executor.py: No changes (pure dispatcher pattern holds) - demo_chat.gx.json: Still executes identically - All existing GlyphRunner commands: Unchanged behavior Architecture: - Lazy imports prevent circular dependencies (xic_ops, glyphos, xic_extensions) - Clean separation: XIC is client of cognition layer - Zero breaking changes; additive extension only - No XIC v2 binary format; all within v1 JSON+.gx architecture Validation: - 10 integration tests: all passing - Backward compat verified with original demo - Symbolic and GPU modes tested end-to-end - No external dependencies required (GPU optional) Co-contributors: LAIN cognition engine, gx_compiler GSZ3, glyphos event system	2026-05-21 01:19:40 -04:00
GlyphRunner System	5c4bfb2dc1	Implement GlyphOS Cognitive Kernel ... Add a system service layer on top of LAIN cognition and Supercharged Glyph Registry: Components: - glyphos/cognitive_kernel.py: CognitiveKernel class + functional API * CognitiveKernel: Main orchestrator with execute_gx(), execute_symbolic() * Result accessors: get_last_result(), get_last_trace(), get_last_fused_symbol() * get_kernel(): Singleton kernel instance * run_gx(): Convenience function for global kernel * kernel_status(): Status introspection - glyphos/__init__.py: Package initialization - tests/test_cognitive_kernel.py: Comprehensive test suite (8 tests, 100% pass) * Kernel initialization and warmup * GX execution and result validation * Result accessor methods * Singleton pattern * Functional API - COGNITIVE_KERNEL.md: Complete documentation Test Results: - 12 registry tests ✅ - 10 glyph bridge tests ✅ - 6 integration suites ✅ - 8 cognitive kernel tests ✅ - Total: 36 tests, 0 failures No breaking changes - all existing tests pass.	2026-05-20 18:03:25 -04:00