69c97e125a
Extend XIC v1 Engine with Symbolic Mode, 5 New Ops, GPU Path, Cognition Integration
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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
9792449157
Implement GlyphOS Event System
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Add lightweight, in-process event bus with Cognitive Kernel integration:
New Components:
- glyphos/events.py: EventBus class + functional API
* EventBus: publish/subscribe pattern with history
* Event type definitions (EventType literal)
* Singleton: get_event_bus(), emit(), on()
* History filtering and limits
* Graceful handler error handling
- tests/test_events.py: Comprehensive test suite (16 tests, 100% pass)
* EventBus subscription/publishing/history
* Global singleton behavior
* Functional API (on, emit, get_event_bus)
* Kernel integration tests
* Cognition event emission tests
Modified:
- glyphos/cognitive_kernel.py: Event emissions at key points
* kernel.warmup.completed: After warmup() completes
* cognition.started: At start of execute_gx()
* cognition.completed: After execute_gx() completes
* glyph.resonance.updated: When glyph resonance present
- glyphos/__init__.py: Export events module
Test Results:
- Registry tests: 12/12 ✅
- Bridge tests: 10/10 ✅
- Kernel tests: 8/8 ✅
- Event system tests: 16/16 ✅ (NEW)
- Integration tests: 6/6 ✅
- Total: 52/52 ✅
No breaking changes - all 36 existing tests still pass.
2026-05-20 18:11:25 -04:00
5c4bfb2dc1
Implement GlyphOS Cognitive Kernel
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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
GlyphRunner System