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
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@@ -10,6 +10,7 @@ from .cognitive_kernel import (
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CognitiveKernel,
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get_kernel,
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run_gx,
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run_symbolic_prompt,
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kernel_status,
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)
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@@ -26,6 +27,7 @@ __all__ = [
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"CognitiveKernel",
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"get_kernel",
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"run_gx",
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"run_symbolic_prompt",
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"kernel_status",
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"EventBus",
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"Event",
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