GlyphRunner System
4bc49c90b3
New module: - gx_lain/lain_glyph_bridge.py: Bridge connecting LedoGlyph600 to LAIN cognition Functions: - load_glyph_context(manifest, context): Load relevant glyph from registry - inject_glyph_metadata_into_lane(lane_result, glyph_context): Add glyph fields to lane - compute_glyph_resonance(glyph_context): Calculate glyph resonance metrics - augment_fused_symbol_with_glyphs(fused_symbol, glyph_context): Add glyph to final output Modified: - gx_lain/runtime.py: Integrate glyph bridge into execute_with_lain() * Load glyph context as step 1 of cognition * Inject glyph metadata into each lane result * Augment fused symbol with glyph context * Add glyph_resonance to diagnostics * Track glyph loading in cognition_trace Tests: - tests/test_lain_glyph_bridge.py: 10 comprehensive tests * Context loading (with/without glyph) * Metadata injection (preserves existing fields) * Resonance computation (4-component metric) * Symbol augmentation * Full integration test Features: - Glyph metadata: id, name, category, score, period, band - Frequency signatures: praw (P, R, A, W) - Activation envelopes: mode, score - Lineage: signature, inheritance weight - Symbolic anatomy: power, complexity, resonance, stability, connectivity, affinity - Resonance profile: activation + frequency + symbolic metrics (0.0-1.0) All 18 integration tests still passing (no regressions).