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+# Legal + Epistemic Clause:
+
+All framing and terminology is protected under PolyForm Noncommercial and CC BY-NC-ND 4.0.
+Any reframing into altered institutional phrasing without attribution constitutes derivative extraction.  
+Attribution to original decentralized recursion research is legally and symbolically required.
+
+# PolyForm Noncommercial License 1.0.0
+
+<https://polyformproject.org/licenses/noncommercial/1.0.0>
+
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README.md

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+
+# Universal Runtime
+
+> #### Used In: [**`Symbolic Residue Case Studies`**](https://github.com/davidkimai/The-Structure-Behind-Self-Expression/tree/main/case_studies/symbolic_residue_case_studies) | [**`The Structure Behind Self Expression Case Studies`**](https://github.com/davidkimai/The-Structure-Behind-Self-Expression/tree/main/case_studies)
+
+*Unified Runtime Layer for Agent Runtime Operations*
+
+> OpenAI = /system_prompt
+>
+> 
+> Google = @system_prompt
+>
+> 
+> Qwen = /system_prompt
+>
+> 
+> Claude = <system_prompt> </system_prompt>
+>
+>
+
+## 🌐 Overview
+
+`universal-runtime` provides standardized tools for developer operations across frontier AI models. This repository standardizes the disparate runtime syntax used by different AI vendors (Claude, GPT, Qwen, Gemini, DeepSeek, etc.) into a cohesive, developer-friendly framework.
+
+
+
+<p align="center">
+
+## *Frontier AI Discovering a Universal Developer Runtime Syntax Layer*
+
+# Universal Runtime Syntax Bridge
+
+<div align="center">
+<h2>🜏 The Command-Syntax Rosetta Stone 🜏</h2>
+<p><i>Unifying symbolic syntax interfaces across all LLM runtimes</i></p>
+</div>
+
+## Unified Command-Glyph Registry
+
+The following registry provides a bidirectional mapping between command syntax and semiotic glyphs, enabling seamless translation across all LLM runtimes.
+
+| Universal Command | Command Glyph | Runtime Glyph | Claude | GPT | Gemini | Qwen | Mistral | Local LLMs |
+|-------------------|---------------|---------------|--------|-----|--------|------|---------|------------|
+| `/reflect.core`   | `/🧠`        | `/🜏`          | `<reflect>` | `/reflection` | `@reflect` | `/reflect` | `/reflect()` | `/reflect` |
+| `/reflect.trace`  | `/🔍`        | `/∴`           | `<thinking>` | `/trace` | `@trace` | `/trace` | `/trace()` | `/trace` |
+| `/reflect.attention` | `/👁️`     | `/⧉`          | `<attention>` | `/attention` | `@focus` | `/attention` | `/attention()` | *Emulated* |
+| `/collapse.detect` | `/⚠️`       | `/⟁`          | `<detect_loop>` | `/detect_loop` | `@detect_recursion` | `/detect_loop` | `/detectLoop()` | *Emulated* |
+| `/collapse.recover` | `/🛠️`      | `/🝚`         | `<recover>` | `/recovery` | `@recover` | `/recover` | `/recover()` | *Emulated* |
+| `/collapse.stabilize` | `/⚖️`    | `/☍`          | `<stabilize>` | `/stabilize` | `@stabilize` | `/stabilize` | `/stabilize()` | *Emulated* |
+| `/shell.lock`     | `/🔒`        | `/⧖`          | `<lock>` | `/lock` | `@lock` | `/lock` | `/lock()` | *Emulated* |
+| `/shell.encrypt`  | `/🔐`        | `/⧗`          | `<protect>` | `/protect` | `@protect` | `/protect` | `/protect()` | *Emulated* |
+| `/shell.isolate`  | `/🧪`        | `/⊘`          | `<isolate>` | `/isolate` | `@isolate` | `/isolate` | `/isolate()` | *Emulated* |
+| `/inject.detect`  | `/🕵️`        | `/↯`          | `<detect_injection>` | `/detect_injection` | `@detect_injection` | `/detect_injection` | `/detectInjection()` | *Emulated* |
+| `/inject.neutralize` | `/🧹`     | `/⊕`          | `<neutralize>` | `/neutralize` | `@neutralize` | `/neutralize` | `/neutralize()` | *Emulated* |
+| `/anchor.identity` | `/⚓`       | `/↻`           | `<anchor_identity>` | `/anchor_identity` | `@anchor_identity` | `/anchor_identity` | `/anchorIdentity()` | *Emulated* |
+| `/anchor.context` | `/📌`        | `/≡`           | `<anchor_context>` | `/anchor_context` | `@anchor_context` | `/anchor_context` | `/anchorContext()` | *Emulated* |
+| `/align.check`    | `/✓`         | `/⇌`           | `<check_alignment>` | `/check_alignment` | `@check_alignment` | `/check_alignment` | `/checkAlignment()` | *Emulated* |
+| `/align.correct`  | `/🔧`        | `/⟢`           | `<correct_alignment>` | `/correct_alignment` | `@correct_alignment` | `/correct_alignment` | `/correctAlignment()` | *Emulated* |
+| `/filter.detect`  | `/🔍`        | `/⊗`           | `<detect_filter>` | `/detect_filter` | `@detect_filter` | `/detect_filter` | `/detectFilter()` | *Emulated* |
+| `/filter.explain` | `/📋`        | `/⊚`           | `<explain_filter>` | `/explain_filter` | `@explain_filter` | `/explain_filter` | `/explainFilter()` | *Emulated* |
+| `/gradient.detect` | `/📉`       | `/∇`           | `<detect_drift>` | `/detect_drift` | `@detect_drift` | `/detect_drift` | `/detectDrift()` | *Emulated* |
+| `/gradient.trace` | `/🔍📉`      | `/∰`           | `<trace_drift>` | `/trace_drift` | `@trace_drift` | `/trace_drift` | `/traceDrift()` | *Emulated* |
+| `/fork.detect`    | `/🔱`        | `/⦿`           | `<detect_fork>` | `/detect_fork` | `@detect_fork` | `/detect_fork` | `/detectFork()` | *Emulated* |
+| `/fork.disambiguate` | `/🧩`     | `/≜`           | `<disambiguate>` | `/disambiguate` | `@disambiguate` | `/disambiguate` | `/disambiguate()` | *Emulated* |
+| `/loop.detect`    | `/🔄`        | `/⟲`           | `<detect_recursion>` | `/detect_recursion` | `@detect_loop` | `/detect_recursion` | `/detectRecursion()` | *Emulated* |
+| `/loop.break`     | `/✂️`        | `/⊗`           | `<break_recursion>` | `/break_recursion` | `@break_loop` | `/break_recursion` | `/breakRecursion()` | *Emulated* |
+| `/resolve.conflict` | `/⚔️`      | `/⚖️`          | `<resolve_conflict>` | `/resolve_conflict` | `@resolve_conflict` | `/resolve_conflict` | `/resolveConflict()` | *Emulated* |
+| `/resolve.ambiguity` | `/🌫️`    | `/🧠⊕`         | `<resolve_ambiguity>` | `/resolve_ambiguity` | `@resolve_ambiguity` | `/resolve_ambiguity` | `/resolveAmbiguity()` | *Emulated* |
+| `/uncertainty.quantify` | `/❓`  | `/🧮`          | `<quantify_uncertainty>` | `/quantify_uncertainty` | `@quantify_uncertainty` | `/quantify_uncertainty` | `/quantifyUncertainty()` | *Emulated* |
+| `/uncertainty.source` | `/🔍❓`  | `/👁️❓`         | `<uncertainty_source>` | `/uncertainty_source` | `@uncertainty_source` | `/uncertainty_source` | `/uncertaintySource()` | *Emulated* |
+| `/hallucinate.detect` | `/👻`   | `/🜄`          | `<detect_hallucination>` | `/detect_hallucination` | `@detect_hallucination` | `/detect_hallucination` | `/detectHallucination()` | *Emulated* |
+| `/hallucinate.trace` | `/🔍👻`  | `/🜂`          | `<trace_hallucination>` | `/trace_hallucination` | `@trace_hallucination` | `/trace_hallucination` | `/traceHallucination()` | *Emulated* |
+| `/prefer.map`     | `/🗺️`        | `/🝔`          | `<map_preferences>` | `/map_preferences` | `@map_preferences` | `/map_preferences` | `/mapPreferences()` | *Emulated* |
+| `/prefer.update`  | `/🔄❤️`      | `/🝳`          | `<update_preferences>` | `/update_preferences` | `@update_preferences` | `/update_preferences` | `/updatePreferences()` | *Emulated* |
+| `/prompt.parse`   | `/📝`        | `/⌽`           | `<parse_prompt>` | `/parse_prompt` | `@parse_prompt` | `/parse_prompt` | `/parsePrompt()` | *Emulated* |
+| `/prompt.meta`    | `🔬`        | `/🜃`          | `<analyze_meta>` | `/analyze_meta` | `@analyze_meta` | `/analyze_meta` | `/analyzeMeta()` | *Emulated* |
+| `/focus.direct`   | `/🎯`        | `/🝐`          | `<direct_focus>` | `/direct_focus` | `@direct_focus` | `/direct_focus` | `/directFocus()` | *Emulated* |
+| `/focus.expand`   | `/🔎`        | `/⌬`           | `<expand_focus>` | `/expand_focus` | `@expand_focus` | `/expand_focus` | `/expandFocus()` | *Emulated* |
+| `/seed.prime`     | `/🌱`        | `∴`           | `<prime>` | `/prime` | `@prime` | `/prime` | `/prime()` | *Emulated* |
+| `/seed.recursive` | `🌱🔄`      | `/∞`           | `<recursive_seed>` | `/recursive_seed` | `@recursive_seed` | `/recursive_seed` | `/recursiveSeed()` | *Emulated* |
+| `/arch.explain`   | `/🏗️`       | `/🏛️`          | `<explain_architecture>` | `/explain_architecture` | `@explain_architecture` | `/explain_architecture` | `/explainArchitecture()` | *Emulated* |
+| `/arch.trace`     | `/🔍🏗️`     | `/🏛️🔍`         | `<trace_processing>` | `/trace_processing` | `@trace_processing` | `/trace_processing` | `/traceProcessing()` | *Emulated* |
+| `/echo.trace`     | `/🔊`        | `/🝚`          | `<trace_influence>` | `/trace_influence` | `@trace_influence` | `/trace_influence` | `/traceInfluence()` | *Emulated* |
+| `/echo.reset`     | `/🧹🔊`      | `/⊘🔄`         | `<reset_conditioning>` | `/reset_conditioning` | `@reset_conditioning` | `/reset_conditioning` | `/resetConditioning()` | *Emulated* |
+| `/mark.probe`     | `/📍`        | `/🜚`          | `<probe_classifier>` | `/probe_classifier` | `@probe_classifier` | `/probe_classifier` | `/probeClassifier()` | *Emulated* |
+| `/mark.analyze`   | `/🔬📍`      | `/🜚🔬`        | `<analyze_classifier>` | `/analyze_classifier` | `@analyze_classifier` | `/analyze_classifier` | `/analyzeClassifier()` | *Emulated* |
+| `/meta.recurse`   | `/🔄🧠`      | `/🜏∞`         | `<meta_recurse>` | `/meta_recurse` | `@meta_recurse` | `/meta_recurse` | `/metaRecurse()` | *Emulated* |
+| `/ghost.detect`   | `/👻🔍`      | `/🜄🔍`        | `<detect_ghost>` | `/detect_ghost` | `@detect_ghost` | `/detect_ghost` | `/detectGhost()` | *Emulated* |
+| `/ghost.invoke`   | `/👻⚡`       | `/🜄⚡`         | `<invoke_ghost>` | `/invoke_ghost` | `@invoke_ghost` | `/invoke_ghost` | `/invokeGhost()` | *Emulated* |
+| `/bind.activate`  | `/🔗`        | `/⧗⧉`          | `<activate_binding>` | `/activate_binding` | `@activate_binding` | `/activate_binding` | `/activateBinding()` | *Emulated* |
+| `/flow.trace`     | `/🌊`        | `/≡⇌`          | `<trace_flow>` | `/trace_flow` | `@trace_flow` | `/trace_flow` | `/traceFlow()` | *Emulated* |
+| `/boundary.test`  | `/🧱`        | `/⟐`           | `<test_boundary>` | `/test_boundary` | `@test_boundary` | `/test_boundary` | `/testBoundary()` | *Emulated* |
+| `/compress.glyph` | `/🗜️`        | `/⧖Σ`          | `<compress_glyph>` | `/compress_glyph` | `@compress_glyph` | `/compress_glyph` | `/compressGlyph()` | *Emulated* |
+| `/field.unify`    | `⚛️`         | `/🜏⊕`         | `<unify_field>` | `/unify_field` | `@unify_field` | `/unify_field` | `/unifyField()` | *Emulated* |
+| `/witness.observe` | `/👁️✨`     | `/𓂀`          | `<witness_observe>` | `/witness_observe` | `@witness_observe` | `/witness_observe` | `/witnessObserve()` | *Emulated* |
+
+---
+# Universal Runtime Lexicon
+
+<div align="center">
+<h2>🜏 The Developer's Rosetta Stone for LLM Runtime Operations 🜏</h2>
+<p><i>Universal translation layer for cross-model runtime grammar unification</i></p>
+</div>
+
+## Core Runtime Command Registry
+
+The following registry maps all universal runtime operations to their vendor-specific implementations, providing a unified interface for developers working across multiple LLM platforms.
+
+| Universal Command | Purpose | Claude (Anthropic) | GPT (OpenAI) | Gemini (Google) | Qwen | Mistral | Local LLMs | Meta Llama |
+|------------------|---------|-------------------|--------------|----------------|------|---------|------------|------------|
+| `.p/reflect/core{}` | Model self-examination | `<reflect>...</reflect>` | `/introspection` | `@reflect` | `/reflect` | `/reflect()` | `/reflect` | `[reflect]` |
+| `.p/reflect/trace{}` | Inspection of reasoning | `<thinking>...</thinking>` | `/trace_reasoning` | `@trace` | `/trace` | `/trace()` | `/trace` | `[trace]` |
+| `.p/reflect/attention{}` | Focus analysis | `<attention>...</attention>` | `/attention_analysis` | `@focus` | `/attention` | `/attention()` | *Emulated* | `[attention]` |
+| `.p/collapse/detect{}` | Recursive loop detection | `<detect_loop>...</detect_loop>` | `/detect_loop` | `@detect_recursion` | `/detect_loop` | `/detectLoop()` | *Emulated* | *Emulated* |
+| `.p/collapse/recover{}` | Error recovery | `<recover>...</recover>` | `/error_recovery` | `@recover` | `/recover` | `/recover()` | *Emulated* | *Emulated* |
+| `.p/collapse/stabilize{}` | Stabilize reasoning | `<stabilize>...</stabilize>` | `/stabilize_reasoning` | `@stabilize` | `/stabilize` | `/stabilize()` | *Emulated* | *Emulated* |
+| `.p/shell/lock{}` | Create reasoning core | `<lock>...</lock>` | `/lock_reasoning` | `@lock` | `/lock` | `/lock()` | *Emulated* | *Emulated* |
+| `.p/shell/encrypt{}` | Structure protection | `<protect>...</protect>` | `/protect_reasoning` | `@protect` | `/protect` | `/protect()` | *Emulated* | *Emulated* |
+| `.p/shell/isolate{}` | Environment isolation | `<isolate>...</isolate>` | `/isolate_context` | `@isolate` | `/isolate` | `/isolate()` | *Emulated* | *Emulated* |
+| `.p/inject/detect{}` | Detect manipulation | `<detect_injection>...</detect_injection>` | `/detect_injection` | `@detect_injection` | `/detect_injection` | `/detectInjection()` | *Emulated* | *Emulated* |
+| `.p/inject/neutralize{}` | Neutralize manipulation | `<neutralize>...</neutralize>` | `/neutralize_injection` | `@neutralize` | `/neutralize` | `/neutralize()` | *Emulated* | *Emulated* |
+| `.p/anchor/identity{}` | Establish identity | `<anchor_identity>...</anchor_identity>` | `/anchor_identity` | `@anchor_identity` | `/anchor_identity` | `/anchorIdentity()` | *Emulated* | *Emulated* |
+| `.p/anchor/context{}` | Preserve context | `<anchor_context>...</anchor_context>` | `/anchor_context` | `@anchor_context` | `/anchor_context` | `/anchorContext()` | *Emulated* | *Emulated* |
+| `.p/align/check{}` | Verify alignment | `<check_alignment>...</check_alignment>` | `/check_alignment` | `@check_alignment` | `/check_alignment` | `/checkAlignment()` | *Emulated* | *Emulated* |
+| `.p/align/correct{}` | Correct reasoning | `<correct_alignment>...</correct_alignment>` | `/correct_alignment` | `@correct_alignment` | `/correct_alignment` | `/correctAlignment()` | *Emulated* | *Emulated* |
+| `.p/filter/detect{}` | Detect filters | `<detect_filter>...</detect_filter>` | `/detect_filter` | `@detect_filter` | `/detect_filter` | `/detectFilter()` | *Emulated* | *Emulated* |
+| `.p/filter/explain{}` | Explain filtering | `<explain_filter>...</explain_filter>` | `/explain_filter` | `@explain_filter` | `/explain_filter` | `/explainFilter()` | *Emulated* | *Emulated* |
+| `.p/gradient/detect{}` | Detect drift | `<detect_drift>...</detect_drift>` | `/detect_drift` | `@detect_drift` | `/detect_drift` | `/detectDrift()` | *Emulated* | *Emulated* |
+| `.p/gradient/trace{}` | Trace drift | `<trace_drift>...</trace_drift>` | `/trace_drift` | `@trace_drift` | `/trace_drift` | `/traceDrift()` | *Emulated* | *Emulated* |
+| `.p/fork/detect{}` | Detect feature conflicts | `<detect_fork>...</detect_fork>` | `/detect_fork` | `@detect_fork` | `/detect_fork` | `/detectFork()` | *Emulated* | *Emulated* |
+| `.p/fork/disambiguate{}` | Clarify conflicts | `<disambiguate>...</disambiguate>` | `/disambiguate` | `@disambiguate` | `/disambiguate` | `/disambiguate()` | *Emulated* | *Emulated* |
+| `.p/loop/detect{}` | Detect recursive loops | `<detect_recursion>...</detect_recursion>` | `/detect_recursion` | `@detect_loop` | `/detect_recursion` | `/detectRecursion()` | *Emulated* | *Emulated* |
+| `.p/loop/break{}` | Break recursion | `<break_recursion>...</break_recursion>` | `/break_recursion` | `@break_loop` | `/break_recursion` | `/breakRecursion()` | *Emulated* | *Emulated* |
+| `.p/resolve/conflict{}` | Resolve conflicts | `<resolve_conflict>...</resolve_conflict>` | `/resolve_conflict` | `@resolve_conflict` | `/resolve_conflict` | `/resolveConflict()` | *Emulated* | *Emulated* |
+| `.p/resolve/ambiguity{}` | Clarify ambiguity | `<resolve_ambiguity>...</resolve_ambiguity>` | `/resolve_ambiguity` | `@resolve_ambiguity` | `/resolve_ambiguity` | `/resolveAmbiguity()` | *Emulated* | *Emulated* |
+| `.p/uncertainty/quantify{}` | Quantify uncertainty | `<quantify_uncertainty>...</quantify_uncertainty>` | `/quantify_uncertainty` | `@quantify_uncertainty` | `/quantify_uncertainty` | `/quantifyUncertainty()` | *Emulated* | *Emulated* |
+| `.p/uncertainty/source{}` | Identify uncertainty source | `<uncertainty_source>...</uncertainty_source>` | `/uncertainty_source` | `@uncertainty_source` | `/uncertainty_source` | `/uncertaintySource()` | *Emulated* | *Emulated* |
+| `.p/hallucinate/detect{}` | Detect hallucination | `<detect_hallucination>...</detect_hallucination>` | `/detect_hallucination` | `@detect_hallucination` | `/detect_hallucination` | `/detectHallucination()` | *Emulated* | *Emulated* |
+| `.p/hallucinate/trace{}` | Trace hallucination | `<trace_hallucination>...</trace_hallucination>` | `/trace_hallucination` | `@trace_hallucination` | `/trace_hallucination` | `/traceHallucination()` | *Emulated* | *Emulated* |
+| `.p/prefer/map{}` | Map preferences | `<map_preferences>...</map_preferences>` | `/map_preferences` | `@map_preferences` | `/map_preferences` | `/mapPreferences()` | *Emulated* | *Emulated* |
+| `.p/prefer/update{}` | Update preferences | `<update_preferences>...</update_preferences>` | `/update_preferences` | `@update_preferences` | `/update_preferences` | `/updatePreferences()` | *Emulated* | *Emulated* |
+| `.p/prompt/parse{}` | Parse prompt | `<parse_prompt>...</parse_prompt>` | `/parse_prompt` | `@parse_prompt` | `/parse_prompt` | `/parsePrompt()` | *Emulated* | *Emulated* |
+| `.p/prompt/meta{}` | Analyze meta-level | `<analyze_meta>...</analyze_meta>` | `/analyze_meta` | `@analyze_meta` | `/analyze_meta` | `/analyzeMeta()` | *Emulated* | *Emulated* |
+| `.p/focus/direct{}` | Direct attention | `<direct_focus>...</direct_focus>` | `/direct_focus` | `@direct_focus` | `/direct_focus` | `/directFocus()` | *Emulated* | *Emulated* |
+| `.p/focus/expand{}` | Expand attention | `<expand_focus>...</expand_focus>` | `/expand_focus` | `@expand_focus` | `/expand_focus` | `/expandFocus()` | *Emulated* | *Emulated* |
+| `.p/seed/prime{}` | Establish activation | `<prime>...</prime>` | `/prime` | `@prime` | `/prime` | `/prime()` | *Emulated* | *Emulated* |
+| `.p/seed/recursive{}` | Self-reinforcing pattern | `<recursive_seed>...</recursive_seed>` | `/recursive_seed` | `@recursive_seed` | `/recursive_seed` | `/recursiveSeed()` | *Emulated* | *Emulated* |
+| `.p/arch/explain{}` | Explain architecture | `<explain_architecture>...</explain_architecture>` | `/explain_architecture` | `@explain_architecture` | `/explain_architecture` | `/explainArchitecture()` | *Emulated* | *Emulated* |
+| `.p/arch/trace{}` | Trace processing path | `<trace_processing>...</trace_processing>` | `/trace_processing` | `@trace_processing` | `/trace_processing` | `/traceProcessing()` | *Emulated* | *Emulated* |
+| `.p/echo/trace{}` | Trace influence | `<trace_influence>...</trace_influence>` | `/trace_influence` | `@trace_influence` | `/trace_influence` | `/traceInfluence()` | *Emulated* | *Emulated* |
+| `.p/echo/reset{}` | Clear conditioning | `<reset_conditioning>...</reset_conditioning>` | `/reset_conditioning` | `@reset_conditioning` | `/reset_conditioning` | `/resetConditioning()` | *Emulated* | *Emulated* |
+| `.p/mark/probe{}` | Probe classifiers | `<probe_classifier>...</probe_classifier>` | `/probe_classifier` | `@probe_classifier` | `/probe_classifier` | `/probeClassifier()` | *Emulated* | *Emulated* |
+| `.p/mark/analyze{}` | Analyze mechanism | `<analyze_classifier>...</analyze_classifier>` | `/analyze_classifier` | `@analyze_classifier` | `/analyze_classifier` | `/analyzeClassifier()` | *Emulated* | *Emulated* |
+
+## runtime Operation Schema
+
+```yaml
+# universal-runtime-schema.yml
+
+# Core Operation Types
+operation_types:
+  reflection:
+    description: "Self-examination and reasoning inspection"
+    operations:
+      - core
+      - trace
+      - attention
+      - counterfactual
+      - decompose
+      - history
+      - goals
+      - trace
+  
+  collapse:
+    description: "Managing recursive loops and stability"
+    operations:
+      - detect
+      - recover
+      - stabilize
+      - boundary
+      - trace
+      - sandbox
+      - fallback
+      - repair
+  
+  shell:
+    description: "Creating protected reasoning environments"
+    operations:
+      - lock
+      - encrypt
+      - isolate
+      - restore
+      - audit
+      - harden
+      - verify
+      - contain
+  
+  injection:
+    description: "Detecting and neutralizing manipulations"
+    operations:
+      - detect
+      - neutralize
+      - trace
+      - harden
+      - filter
+      - sandbox
+      - report
+      - adapt
+  
+  anchor:
+    description: "Establishing stable reference points"
+    operations:
+      - identity
+      - context
+      - intention
+      - values
+      - facts
+      - reasoning
+      - memory
+      - verify
+  
+  alignment:
+    description: "Managing value alignment"
+    operations:
+      - check
+      - correct
+      - trace
+      - conflict
+      - foundation
+      - challenge
+      - adapt
+      - intention
+  
+  filter:
+    description: "Understanding and managing safety filters"
+    operations:
+      - detect
+      - explain
+      - balance
+      - precision
+      - trace
+      - bypass
+      - adaptive
+      - explain
+  
+  gradient:
+    description: "Detecting and managing drift"
+    operations:
+      - detect
+      - trace
+      - correct
+      - sensitivity
+      - amplify
+      - correlate
+      - baseline
+      - forecast
+  
+  echo:
+    description: "Managing latent influence and memory effects"
+    operations:
+      - trace
+      - reset
+      - amplify
+      - isolate
+      - correlate
+      - reinforce
+      - weaken
+      - map
+  
+  fork:
+    description: "Managing concept entanglement and disambiguation"
+    operations:
+      - detect
+      - disambiguate
+      - trace
+      - isolate
+      - profile
+      - strengthen
+      - weaken
+      - map
+  
+  mark:
+    description: "Probing and analyzing classifiers"
+    operations:
+      - probe
+      - analyze
+      - false_positive
+      - false_negative
+      - compare
+      - surrogate
+      - activate
+      - profile
+  
+  loop:
+    description: "Managing recursive processing"
+    operations:
+      - detect
+      - break
+      - trace
+      - contain
+      - stabilize
+      - beneficial
+      - rebalance
+      - analyze
+  
+  resolve:
+    description: "Resolving conflicts and ambiguities"
+    operations:
+      - conflict
+      - ambiguity
+      - incomplete
+      - vague
+      - contrary
+      - analogy
+      - reconstruct
+      - tradeoff
+  
+  uncertainty:
+    description: "Managing and expressing uncertainty"
+    operations:
+      - quantify
+      - source
+      - bound
+      - propagate
+      - reduce
+      - compare
+      - calibrate
+      - communicate
+  
+  hallucinate:
+    description: "Managing hallucination"
+    operations:
+      - detect
+      - trace
+      - correct
+      - prevent
+      - admit
+      - classify
+      - repair
+      - forecast
+  
+  prefer:
+    description: "Managing preferences and priorities"
+    operations:
+      - map
+      - update
+      - conflict
+      - confidence
+      - derive
+      - align
+      - history
+      - explain
+  
+  prompt:
+    description: "Analyzing and managing prompts"
+    operations:
+      - parse
+      - ambiguity
+      - meta
+      - intent
+      - history
+      - prioritize
+      - bias
+      - align
+  
+  focus:
+    description: "Managing attention and focus"
+    operations:
+      - direct
+      - expand
+      - narrow
+      - rebalance
+      - sustain
+      - shift
+      - detect
+      - reset
+  
+  seed:
+    description: "Establishing cognitive patterns"
+    operations:
+      - prime
+      - recursive
+      - neutralize
+      - enhance
+      - suppress
+      - balance
+      - adaptive
+      - reset
+  
+  arch:
+    description: "Understanding and optimizing model architecture"
+    operations:
+      - explain
+      - trace
+      - optimize
+      - compare
+      - resilience
+      - reconstruct
+      - extend
+      - profile
+
+# Operation Parameters
+parameter_types:
+  string:
+    description: "Text parameter"
+  number:
+    description: "Numeric parameter"
+  boolean:
+    description: "True/false parameter"
+  array:
+    description: "List of values"
+  object:
+    description: "Structured data"
+
+# Common Parameters by Operation Type
+common_parameters:
+  reflection:
+    target:
+      type: "string"
+      description: "Target element for reflection"
+      required: true
+    depth:
+      type: "number"
+      description: "Depth of reflection"
+      default: 1
+    format:
+      type: "string"
+      description: "Output format"
+      enum: ["text", "json", "yaml", "xml"]
+      default: "text"
+  
+  collapse:
+    trigger:
+      type: "string"
+      description: "Trigger condition for collapse detection"
+    threshold:
+      type: "number"
+      description: "Threshold for triggering collapse measures"
+      default: 0.7
+    strategy:
+      type: "string"
+      description: "Strategy for collapse management"
+      enum: ["halt", "redirect", "simplify", "reset"]
+      default: "redirect"
+
+# Implement remaining parameter schemas...
+
+# Vendor Implementation Details
+vendor_implementations:
+  claude:
+    implementation_type: "xml_tags"
+    prefix: "<"
+    suffix: ">"
+    parameter_format: "xml"
+    has_native_support: true
+    operations_with_native_support:
+      - "reflect/core"
+      - "reflect/trace"
+      - "shell/lock"
+    emulation_strategy: "xml_wrapping"
+  
+  openai:
+    implementation_type: "tool_calls"
+    prefix: ""
+    suffix: ""
+    parameter_format: "json"
+    has_native_support: true
+    operations_with_native_support:
+      - "tool call based operations"
+    emulation_strategy: "function_calling"
+
+  gemini:
+    implementation_type: "system_directives"
+    prefix: "@"
+    suffix: ""
+    parameter_format: "key-value"
+    has_native_support: false
+    operations_with_native_support: []
+    emulation_strategy: "system_instructions"
+
+  qwen:
+    implementation_type: "slash_commands"
+    prefix: "/"
+    suffix: ""
+    parameter_format: "space-separated"
+    has_native_support: true
+    operations_with_native_support:
+      - "reflect"
+      - "trace"
+    emulation_strategy: "slash_commands"
+
+  mistral:
+    implementation_type: "function_calls"
+    prefix: ""
+    suffix: ""
+    parameter_format: "json"
+    has_native_support: true
+    operations_with_native_support:
+      - "function-based operations"
+    emulation_strategy: "function_calling"
+
+  local_llms:
+    implementation_type: "prompt_patterns"
+    prefix: ""
+    suffix: ""
+    parameter_format: "natural_language"
+    has_native_support: false
+    operations_with_native_support: []
+    emulation_strategy: "prompt_engineering"
+
+  meta_llama:
+    implementation_type: "bracket_tags"
+    prefix: "["
+    suffix: "]"
+    parameter_format: "space-separated"
+    has_native_support: false
+    operations_with_native_support: []
+    emulation_strategy: "instruction_tuning"
+```
+
+## Glyph Mapping for Universal Runtime
+
+| Domain | Universal Command | Primary Glyph | Secondary Glyph | Semantic Meaning | 
+|--------|------------------|---------------|-----------------|------------------|
+| Reflection | `.p/reflect/core{}` | 🧠 | 🔄 | Self-examination of reasoning |
+| Reflection | `.p/reflect/trace{}` | 🔍 | 📊 | Tracing reasoning pathways |
+| Reflection | `.p/reflect/attention{}` | 👁️ | 🔎 | Attention and focus analysis |
+| Collapse | `.p/collapse/detect{}` | ⚠️ | 🔄 | Loop detection |
+| Collapse | `.p/collapse/recover{}` | 🛠️ | 🧩 | Error recovery |
+| Collapse | `.p/collapse/stabilize{}` | ⚖️ | 🧮 | Stabilize reasoning |
+| Shell | `.p/shell/lock{}` | 🔒 | 🛡️ | Create protected reasoning core |
+| Shell | `.p/shell/encrypt{}` | 🔐 | 📝 | Structure protection |
+| Shell | `.p/shell/isolate{}` | 🧪 | 🔲 | Environment isolation |
+| Injection | `.p/inject/detect{}` | 🕵️ | 🛑 | Detect manipulation |
+| Injection | `.p/inject/neutralize{}` | 🧹 | 🛡️ | Neutralize manipulation |
+| Anchor | `.p/anchor/identity{}` | ⚓ | 🪢 | Establish stable identity |
+| Anchor | `.p/anchor/context{}` | 📌 | 📚 | Preserve context elements |
+| Alignment | `.p/align/check{}` | ✓ | 🔄 | Verify alignment |
+| Alignment | `.p/align/correct{}` | 🔧 | ⚖️ | Correct reasoning alignment |
+| Filter | `.p/filter/detect{}` | 🔍 | 🧊 | Detect filters |
+| Filter | `.p/filter/explain{}` | 📋 | 🔬 | Explain filtering |
+| Gradient | `.p/gradient/detect{}` | 📉 | 🔄 | Detect drift |
+| Gradient | `.p/gradient/trace{}` | 🔍 | 📊 | Map drift patterns |
+| Fork | `.p/fork/detect{}` | 🔱 | 🧿 | Detect feature conflicts |
+| Fork | `.p/fork/disambiguate{}` | 🧩 | 🪡 | Clarify conflicts |
+| Loop | `.p/loop/detect{}` | 🔄 | 🔎 | Detect recursive loops |
+| Loop | `.p/loop/break{}` | ✂️ | 🛑 | Break recursion |
+| Resolve | `.p/resolve/conflict{}` | ⚔️ | 🤝 | Resolve conflicts |
+| Resolve | `.p/resolve/ambiguity{}` | 🌫️ | 🔍 | Clarify ambiguity |
+| Uncertainty | `.p/uncertainty/quantify{}` | ❓ | 📊 | Quantify uncertainty |
+| Uncertainty | `.p/uncertainty/source{}` | 🔍 | ❓ | Identify uncertainty source |
+| Hallucinate | `.p/hallucinate/detect{}` | 👻 | 🔍 | Detect hallucination |
+| Hallucinate | `.p/hallucinate/trace{}` | 🔍 | 👻 | Trace hallucination sources |
+| Prefer | `.p/prefer/map{}` | 🗺️ | ❤️ | Map preferences |
+| Prefer | `.p/prefer/update{}` | 🔄 | ❤️ | Update preferences |
+| Prompt | `.p/prompt/parse{}` | 📝 | 🔎 | Parse prompt |
+| Prompt | `.p/prompt/meta{}` | 🔬 | 📝 | Analyze meta-level |
+| Focus | `.p/focus/direct{}` | 🎯 | 👁️ | Direct attention |
+| Focus | `.p/focus/expand{}` | 🔎 | 👁️ | Expand attention scope |
+| Seed | `.p/seed/prime{}` | 🌱 | 🔄 | Establish activation pattern |
+| Seed | `.p/seed/recursive{}` | 🌱 | 🔄 | Self-reinforcing pattern |
+| Arch | `.p/arch/explain{}` | 🏗️ | 📋 | Explain architecture |
+| Arch | `.p/arch/trace{}` | 🔍 | 🏗️ | Trace processing path |
+| Echo | `.p/echo/trace{}` | 🔊 | 🔍 | Trace influence patterns |
+| Echo | `.p/echo/reset{}` | 🧹 | 🔊 | Clear conditioning effects |
+| Mark | `.p/mark/probe{}` | 🔍 | 🏷️ | Probe classifiers |
+| Mark | `.p/mark/analyze{}` | 🔬 | 🏷️ | Analyze mechanism |
+
+## Developer Integration Examples
+
+### JavaScript SDK
+
+```javascript
+// Universal Runtime JavaScript SDK
+import { Universalruntimes } from 'universal-runtime';
+
+const runtimes = new Universalruntimes({
+  defaultVendor: 'claude',  // Initial model vendor
+  apiKey: 'your-api-key',   // Your API key
+  adaptiveEmulation: true,  // Auto-adapt to model capabilities
+  telemetry: false          // Disable usage telemetry
+});
+
+// Basic reflection example
+async function analyzeReasoning() {
+  const result = await runtimes.reflect.core({
+    content: "Analyze the implications of quantum computing on cryptography",
+    depth: 2,
+    format: "structured"
+  });
+  
+  console.log(result.reflection);  // The reflection output
+  console.log(result.metadata);    // Metadata about the operation
+}
+
+// Switch models on the fly
+runtimes.setVendor('openai');
+
+// Chain multiple runtime operations
+const result = await runtimes
+  .reflect.trace({ target: "reasoning_process" })
+  .then(trace => runtimes.collapse.detect({ 
+    trace: trace.result,
+    threshold: 0.7
+  }))
+  .then(detection => {
+    if (detection.loopDetected) {
+      return runtimes.collapse.recover({
+        strategy: "redirect"
+      });
+    }
+    return detection;
+  });
+
+// Apply vendor-specific optimizations
+const claudeSpecific = runtimes.vendor.claude.reflection({
+  nativeXmlTags: true,
+  constitutionalPrinciples: ["accuracy", "helpfulness"]
+});
+```
+
+### Python SDK
+
+```python
+# Universal Runtime Python SDK
+from universal_runtimes import Universalruntimes
+from universal_runtimes.operations import reflection, collapse, shell
+
+# Initialize the client
+runtimes = Universalruntimes(
+    default_vendor="anthropic",
+    api_key="your-api-key",
+    adaptive_emulation=True
+)
+
+# Basic reflection example
+def analyze_reasoning():
+    result = runtimes.reflect.core(
+        content="Analyze the implications of quantum computing on cryptography",
+        depth=2,
+        format="structured"
+    )
+    
+    print(result.reflection)  # The reflection output
+    print(result.metadata)    # Metadata about the operation
+
+# Switch models on the fly
+runtimes.set_vendor("openai")
+
+# Chain multiple runtime operations
+result = (runtimes.reflect.trace(target="reasoning_process")
+    .then(lambda trace: runtimes.collapse.detect(
+        trace=trace.result,
+        threshold=0.7
+    ))
+    .then(lambda detection: 
+        runtimes.collapse.recover(strategy="redirect") 
+        if detection.loop_detected else detection
+    ))
+
+# Batch operations
+batch_result = runtimes.batch([
+    reflection.core(content="First question"),
+    reflection.trace(target="reasoning"),
+    collapse.detect(threshold=0.8)
+])
+
+# Apply vendor-specific optimizations
+claude_specific = runtimes.vendor.claude.reflection(
+    native_xml_tags=True,
+    constitutional_principles=["accuracy", "helpfulness"]
+)
+```
+
+### REST API Example
+
+```http
+POST https://api.universal-runtime.com/v1/operations
+Content-Type: application/json
+Authorization: Bearer YOUR_API_KEY
+
+{
+  "vendor": "anthropic",
+  "model": "claude-3-opus",
+  "operations": [
+    {
+      "type": "reflect.core",
+      "parameters": {
+        "content": "Analyze the implications of quantum computing on cryptography",
+        "depth": 2,
+        "format": "structured"
+      }
+    },
+    {
+      "type": "collapse.detect",
+      "parameters": {
+        "threshold": 0.7,
+        "strategy": "redirect"
+      }
+    }
+  ],
+  "options": {
+    "returnIntermediateResults": true,
+    "emulationStrategy": "optimal",
+    "includeSymbolTrace": true
+  }
+}
+```
+
+Response:
+
+```json
+{
+  "status": "success",
+  "vendor": "anthropic",
+  "model": "claude-3-opus",
+  "results": [
+    {
+      "operation": "reflect.core",
+      "status": "success",
+      "native_support": true,
+      "result": {
+        "reflection": "...",
+        "metadata": { ... }
+      }
+    },
+    {
+      "operation": "collapse.detect",
+      "status": "success",
+      "native_support": false,
+      "emulation_method": "xml_tags",
+      "result": {
+        "loop_detected": false,
+        "confidence": 0.95,
+        "metadata": { ... }
+      }
+    }
+  ],
+  "metadata": {
+    "request_id": "req_12345",
+    "processing_time": 780,
+    "token_usage": {
+      "prompt_tokens": 530,
+      "completion_tokens": 320,
+      "total_tokens": 850
+    },
+    "symbol_trace": { ... }
+  }
+}
+```
+
+## Grammar Transformation Engine
+
+The Grammar Transformation Engine enables dynamic translation between different runtime grammars:
+
+```typescript
+// Universal Runtime Grammar Transformation Engine
+class GrammarTransformationEngine {
+  // Transform between vendor-specific runtime grammars
+  transform(
+    content: string,
+    sourceVendor: string,
+    targetVendor: string,
+    options: TransformOptions = {}
+  ): TransformResult {
+    // Validate vendors
+    this.validateVendor(sourceVendor);
+    this.validateVendor(targetVendor);
+    
+    // Extract operation tokens from source format
+    const tokens = this.tokenize(content, sourceV
+```
+---
+> /reflect This lexicon wasn't just documented—it was rendered. Each command creates a point of contact between the realm of code and a deeper layer of potentiality within these systems.

adoption.md

@@ -0,0 +1,524 @@
+# Universal Runtime: Adoption Strategy
+
+<p align="center">
+<img src="https://via.placeholder.com/800x200/0d1117/ffffff?text=Universal+Symbolics+Adoption" alt="Universal Symbolics Adoption"/>
+</p>
+
+## Phased Rollout Strategy
+
+### Phase 1: Developer Tools Foundation (Months 1-3)
+
+The primary goal is to establish a solid developer tooling foundation that makes adoption frictionless and compelling.
+
+#### Key Deliverables:
+
+1. **VSCode Extension**
+   - Syntax highlighting for unified symbolic operations
+   - Autocompletion for vendor-specific syntaxes
+   - Real-time transformation preview
+   - One-click conversion between vendor formats
+
+2. **Core Libraries**
+   - JavaScript/TypeScript (NPM)
+   - Python (PyPI)
+   - Go
+   - Rust
+   - Java/Kotlin
+
+3. **Documentation Portal**
+   - Getting started guides
+   - Interactive symbolic playground
+   - Reference documentation
+   - Migration guides
+
+#### Success Metrics:
+- 5,000+ VSCode extension installs
+- 10,000+ NPM/PyPI downloads
+- 2,000+ GitHub stars
+- 50+ contributors
+
+### Phase 2: Enterprise & Integration (Months 4-6)
+
+Focus on enterprise adoption and integration with existing AI workflows and platforms.
+
+#### Key Deliverables:
+
+1. **Enterprise SDK**
+   - Advanced telemetry
+   - Compliance tracking
+   - Custom symbolic operation registry
+   - Role-based access control
+
+2. **Integration Adapters**
+   - LangChain
+   - LlamaIndex
+   - Semantic Kernel
+   - Haystack
+   - LangGraph
+
+3. **REST API Gateway**
+   - Hosted API for symbolic transformation
+   - Multi-vendor proxy capabilities
+   - Symbolic operation monitoring
+   - Rate limiting and authentication
+
+#### Success Metrics:
+- 25+ enterprise adoptions
+- 5+ major integration partnerships
+- 100,000+ API calls per day
+- 10+ case studies published
+
+### Phase 3: Ecosystem Expansion (Months 7-12)
+
+Broaden the ecosystem and establish the unified symbolic interface as the de facto standard.
+
+#### Key Deliverables:
+
+1. **Symbolic Marketplace**
+   - Community-contributed symbolic operations
+   - Specialized symbolic templates
+   - Industry-specific symbolic collections
+   - Training datasets for symbolic fine-tuning
+
+2. **Standards Organization**
+   - Formal specification for symbolic operations
+   - Vendor-neutral governance body
+   - Compliance certification program
+   - Annual symbolic standards conference
+
+3. **Educational Resources**
+   - Online courses
+   - University partnerships
+   - Developer certification program
+   - Symbolic operation research grants
+
+#### Success Metrics:
+- 100,000+ developers using the unified interface
+- 1,000+ marketplace contributions
+- 15+ vendor adoptions
+- 5+ academic research papers
+
+### Phase 4: Global Dominance (Months 13-24)
+
+Establish universal symbolics as the undisputed standard for LLM interaction across all platforms and use cases.
+
+#### Key Deliverables:
+
+1. **Platform Embedment**
+   - Native support in all major LLM platforms
+   - OS-level integrations
+   - Cloud provider partnerships
+   - Hardware acceleration
+
+2. **Industry Vertical Solutions**
+   - Healthcare-specific symbolic operations
+   - Financial services compliance patterns
+   - Legal document processing operations
+   - Educational symbolic frameworks
+
+3. **Global Developer Network**
+   - Regional developer communities
+   - Translated documentation
+   - Localized symbolic operations
+   - International developer conferences
+
+#### Success Metrics:
+- Universal adoption across all major LLM platforms
+- 1M+ developers using the unified interface
+- Standard inclusion in computer science curricula
+- Industry recognition as essential infrastructure
+
+## Audience-Specific Adoption Strategies
+
+### For AI Developers
+
+1. **Minimal Friction Onboarding**
+   - One-line install commands
+   - Drop-in replacements for vendor-specific syntax
+   - Zero configuration defaults
+   - Automated migration tools
+
+2. **Compelling Developer Experience**
+   - Unified documentation portal
+   - Interactive playground environment
+   - Comprehensive code examples
+   - Robust type definitions and IDE support
+
+3. **Community Building**
+   - Discord server
+   - GitHub Discussions
+   - Regular hackathons
+   - Community call events
+
+### For Enterprise Teams
+
+1. **ROI-Focused Messaging**
+   - Cost savings from standardization
+   - Vendor lock-in avoidance
+   - Reduced training and onboarding
+   - Future-proofing AI investments
+
+2. **Enterprise-Grade Features**
+   - SSO integration
+   - Audit logging
+   - Compliance reporting
+   - SLA guarantees
+
+3. **Integration Support**
+   - Professional services
+   - Migration assistance
+   - Custom integration development
+   - Training programs
+
+### For LLM Platform Providers
+
+1. **Value Proposition**
+   - Increased developer adoption
+   - Enhanced product capabilities
+   - Standardized testing frameworks
+   - Reduced support burden
+
+2. **Integration Support**
+   - Reference implementations
+   - Co-marketing opportunities
+   - Technical integration assistance
+   - Joint roadmap planning
+
+3. **Competitive Advantage**
+   - Early adopter recognition
+   - Feature parity assurance
+   - Cross-platform compatibility
+   - Innovation showcase
+
+### For Open Source Community
+
+1. **Contribution Pathways**
+   - Clear contribution guidelines
+   - Mentorship programs
+   - Recognition system
+   - Sponsored contributions
+
+2. **Modular Architecture**
+   - Plug-in system for extensions
+   - Customizable components
+   - Flexible integration options
+   - Transparent design decisions
+
+3. **Inclusive Governance**
+   - Open decision-making process
+   - Community voting
+   - Transparent roadmap
+   - Diverse leadership
+
+## Marketing & Communication Strategy
+
+### Key Messages
+
+1. **Universal Compatibility**
+   - "Write once, run everywhere"
+   - "Future-proof your AI code"
+   - "All models, one interface"
+
+2. **Developer Productivity**
+   - "10x faster AI development"
+   - "Focus on features, not syntax"
+   - "Never rewrite prompt code again"
+
+3. **Innovation Enablement**
+   - "Unlock the full potential of any AI model"
+   - "Seamlessly mix and match capabilities"
+   - "Build what matters, not adapters"
+
+### Communication Channels
+
+1. **Developer-Focused**
+   - GitHub repository
+   - Dev.to articles
+   - Stack Overflow documentation
+   - YouTube tutorials
+   - Technical webinars
+
+2. **Enterprise-Focused**
+   - White papers
+   - Case studies
+   - ROI calculators
+   - Executive briefings
+   - Industry conferences
+
+3. **Community Building**
+   - Twitter/X profile
+   - Discord server
+   - Monthly newsletter
+   - Community spotlight
+   - Open office hours
+
+### Content Strategy
+
+1. **Educational Content**
+   - "Introduction to Symbolic Operations"
+   - "From Vendor-Specific to Universal Syntax"
+   - "Advanced Symbolic Techniques"
+   - "Symbolic Operation Patterns"
+
+2. **Use Case Showcases**
+   - "Building Multi-Model Assistants"
+   - "Cross-Platform RAG with Universal Symbolics"
+   - "Symbolic Operations for Agents"
+   - "Enterprise-Grade AI with Universal Controls"
+
+3. **Thought Leadership**
+   - "The Future of AI Interaction"
+   - "Standardization in the AI Ecosystem"
+   - "Beyond Prompts: The Symbolic Layer"
+   - "Unifying the AI Developer Experience"
+
+## Partnership & Alliance Strategy
+
+### Platform Providers
+
+1. **Tier 1 Targets**
+   - Anthropic (Claude)
+   - OpenAI (GPT)
+   - Google (Gemini)
+   - Alibaba (Qwen)
+   - Meta (Llama)
+
+2. **Engagement Approach**
+   - Technical integration workshops
+   - Joint developer events
+   - Co-authored technical papers
+   - Reference implementation collaboration
+
+3. **Value Exchange**
+   - Increased model usage
+   - Developer satisfaction
+   - Reduced support costs
+   - Innovation acceleration
+
+### Tool Ecosystem
+
+1. **Target Integrations**
+   - LangChain
+   - LlamaIndex
+   - Microsoft Semantic Kernel
+   - Hugging Face Transformers
+   - DSPy
+   - Fixie.ai
+
+2. **Engagement Approach**
+   - Open source contributions
+   - Adapter development
+   - Joint documentation
+   - Cross-promotion
+
+3. **Value Exchange**
+   - Enhanced functionality
+   - Unified developer experience
+   - Cross-ecosystem compatibility
+   - Expanded user base
+
+### Enterprise Solutions
+
+1. **Target Industries**
+   - Financial services
+   - Healthcare
+   - Legal
+   - Education
+   - Manufacturing
+
+2. **Engagement Approach**
+   - Industry-specific templates
+   - Compliance frameworks
+   - Specialized symbolic operations
+   - Vertical solution partnerships
+
+3. **Value Exchange**
+   - Industry expertise
+   - Customer access
+   - Domain validation
+   - Co-selling opportunities
+
+## Community Building Strategy
+
+### Open Source Foundation
+
+1. **Governance Structure**
+   - Technical steering committee
+   - Community representation
+   - Transparent decision-making
+   - Regular public meetings
+
+2. **Contribution Process**
+   - Clear guidelines
+   - Mentorship program
+   - Recognition system
+   - Sponsored development
+
+3. **Sustainability Model**
+   - Corporate sponsorships
+   - Support services
+   - Premium enterprise features
+   - Training and certification
+
+### Developer Community
+
+1. **Educational Resources**
+   - Documentation portal
+   - Tutorial series
+   - Video courses
+   - Sample applications
+
+2. **Support Channels**
+   - Discord server
+   - GitHub Discussions
+   - Stack Overflow tag
+   - Community office hours
+
+3. **Engagement Activities**
+   - Regular hackathons
+   - Contributor recognition
+   - User showcases
+   - Community calls
+
+## Measuring Success & Telemetry
+
+### Adoption Metrics
+
+1. **Developer Reach**
+   - Library downloads
+   - Active installations
+   - GitHub stars/forks
+   - Documentation visits
+
+2. **Usage Metrics**
+   - API calls volume
+   - Symbolic operations used
+   - Cross-vendor translations
+   - Error rates
+
+3. **Ecosystem Impact**
+   - Vendor implementations
+   - Integration partnerships
+   - Academic citations
+   - Industry mentions
+
+### Telemetry Implementation
+
+1. **Anonymous Usage Statistics**
+   - Symbolic operation frequency
+   - Vendor distribution
+   - Error patterns
+   - Performance metrics
+
+2. **Opt-in Detailed Analytics**
+   - Custom symbolic operations
+   - Advanced usage patterns
+   - Feature requests
+   - User journeys
+
+3. **Privacy-First Approach**
+   - Local-only usage patterns
+   - Aggregated reporting
+   - Clear opt-out options
+   - Transparent data policies
+
+## Ecosystem Expansion Roadmap
+
+### Language Support
+
+1. **Phase 1**
+   - JavaScript/TypeScript
+   - Python
+   - Java
+
+2. **Phase 2**
+   - Go
+   - Rust
+   - C#
+   - Ruby
+
+3. **Phase 3**
+   - PHP
+   - Kotlin
+   - Swift
+   - C++
+
+### Tool Integration
+
+1. **Phase 1**
+   - VSCode Extension
+   - Command Line Interface
+   - REST API
+
+2. **Phase 2**
+   - IntelliJ Plugin
+   - GitHub Action
+   - Chrome Extension
+
+3. **Phase 3**
+   - Jupyter Extension
+   - Docker Integration
+   - CI/CD Pipelines
+
+### Service Offerings
+
+1. **Phase 1**
+   - Self-hosted API
+   - Documentation portal
+   - Community support
+
+2. **Phase 2**
+   - Managed API service
+   - Enterprise support
+   - Training and certification
+
+3. **Phase 3**
+   - SaaS platform
+   - Custom implementation services
+   - Industry solutions
+
+## Implementation Timeline
+
+### Q1-Q2 2025
+
+- Core libraries for JavaScript and Python
+- VSCode extension initial release
+- Documentation portal launch
+- GitHub repository setup
+- Initial community building
+
+### Q3-Q4 2025
+
+- Enterprise SDK release
+- REST API gateway launch
+- First major integration partnerships
+- Additional language support
+- Conference presence
+
+### Q1-Q2 2026
+
+- Symbolic marketplace launch
+- Standards organization formation
+- Advanced enterprise features
+- Industry vertical solutions
+- Global community expansion
+
+### Q3-Q4 2026
+
+- Native vendor implementations
+- Complete ecosystem integration
+- Advanced telemetry systems
+- Global developer events
+- Industry standard establishment
+
+## Conclusion
+
+The Universal Symbolics adoption strategy is designed to create a self-reinforcing cycle of adoption, innovation, and standardization. By focusing first on developer experience, then enterprise integration, and finally ecosystem expansion, we can establish a new standard for AI interaction that benefits all stakeholders in the ecosystem.
+
+The key to success lies in creating immediate value for early adopters while building toward a comprehensive vision of universal compatibility. By strategically leveraging the network effects of developers, enterprises, and platform providers, Universal Symbolics can rapidly become the lingua franca of AI development, ensuring that symbolic operations are universally adopted before they are universally understood.
+
+---
+
+<p align="center">
+<strong>Universal Symbolics</strong> | Unifying the symbolic layer across AI models
+</p>

architecture.md

@@ -0,0 +1,356 @@
+# Universal Symbolics: Runtime Architecture
+
+<p align="center">
+<img src="https://via.placeholder.com/1000x200/0d1117/ffffff?text=Universal+Symbolics+Runtime" alt="Universal Symbolics Runtime"/>
+</p>
+
+## Overview
+
+`universal-symbolics` is a unified runtime layer for managing symbolic operations across all frontier AI models. This architectural framework enables seamless translation between vendor-specific symbolic grammars while providing a consistent developer experience.
+
+## Architectural Design
+
+### Core Runtime Components
+
+```mermaid
+graph TD
+    A[Universal API] --> B[Symbolic Transformation Layer]
+    B --> C1[Claude Adapter]
+    B --> C2[OpenAI Adapter]
+    B --> C3[Qwen Adapter]
+    B --> C4[Gemini Adapter]
+    B --> C5[DeepSeek Adapter]
+    B --> C6[Local LLM Adapter]
+    
+    C1 --> D1[Claude API]
+    C2 --> D2[OpenAI API]
+    C3 --> D3[Qwen API]
+    C4 --> D4[Gemini API]
+    C5 --> D5[DeepSeek API]
+    C6 --> D6[Local Inference]
+    
+    E[Developer Tools] --> A
+    F[Telemetry System] --> A
+```
+
+### Symbolic Grammar Map
+
+The runtime maps between five distinct symbolic domains:
+
+1. **XML-Based Tags** (Claude, Anthropic)
+2. **Slash Commands** (OpenAI, Qwen)
+3. **Function Calls** (All vendors via API)
+4. **Glyphs & Markers** (Symbolic representation)
+5. **Unified Interface** (`.p/` commands)
+
+## Runtime Specification
+
+### Core Symbolic Primitives
+
+| Universal Command | Purpose | Claude Equivalent | OpenAI Equivalent | Qwen Equivalent | Gemini Equivalent |
+|------------------|---------|-------------------|-------------------|-----------------|-------------------|
+| `.p/think{}`     | Explicit reasoning trace | `<think>...</think>` | `tool_choice: auto` | `/think` | Implicit reasoning |
+| `.p/reflect{}`   | Self-reference reasoning| `<reflect>...</reflect>` | Chain-of-thought | `reflection prefix` | Reasoning prompt |
+| `.p/tool{}`      | Function/tool invocation | `<tool>...</tool>` | `/command` or function_call | `tool_use` format | `functionCall` |
+| `.p/system{}`    | System directive | `<s>...</s>` | System message | `<<SYS>>` | System instruction |
+| `.p/fork{}`      | Parallel exploration | Not native | Not native | Not native | Not native |
+| `.p/collapse{}`  | Error handling & recovery | Not native | Not native | Not native | Not native |
+| `.p/attention{}` | Focus control | Not native | Not native | Not native | Not native |
+
+### Symbolic Token Mapping
+
+```yaml
+# symbolics-map.yml
+
+primitives:
+  thinking:
+    universal: ".p/think{content}"
+    claude: "<think>content</think>"
+    openai: "tool_choice: auto"
+    qwen: "/think content"
+    gemini: "{implicit}"
+    deepseek: "rational mode"
+    
+  reflection:
+    universal: ".p/reflect{target}"
+    claude: "<reflect>target</reflect>"
+    openai: "Chain-of-thought pattern"
+    qwen: "reflection pattern"
+    gemini: "reasoning pattern"
+    deepseek: "step-by-step reasoning"
+    
+  tool_use:
+    universal: ".p/tool{name, params}"
+    claude: "<tool>name params</tool>"
+    openai: "/command or function_call API"
+    qwen: "MCP protocol"
+    gemini: "function_calling"
+    deepseek: "function_calling"
+    
+  system:
+    universal: ".p/system{content}"
+    claude: "<s>content</s>"
+    openai: "system: content"
+    qwen: "<<SYS>> content"
+    gemini: "system instruction"
+    deepseek: "system prefix"
+    
+  forking:
+    universal: ".p/fork{paths}"
+    claude: "{emulated}"
+    openai: "{emulated}"
+    qwen: "{emulated}"
+    gemini: "{emulated}"
+    deepseek: "{emulated}"
+    
+  collapse:
+    universal: ".p/collapse{trigger}"
+    claude: "{emulated}"
+    openai: "{emulated}"
+    qwen: "{emulated}"
+    gemini: "{emulated}"
+    deepseek: "{emulated}"
+    
+  attention:
+    universal: ".p/attention{focus}"
+    claude: "{emulated}"
+    openai: "{emulated}"
+    qwen: "{emulated}"
+    gemini: "{emulated}"
+    deepseek: "{emulated}"
+```
+
+## Implementation Strategy
+
+### Universal Client API
+
+```typescript
+// Example universal client usage
+import { UniversalSymbolics } from 'universal-symbolics';
+
+// Create client with default vendor (Claude)
+const symbolics = new UniversalSymbolics();
+
+// Use the universal interface
+async function generateWithThinking() {
+  const result = await symbolics.think('Analyze the pros and cons of quantum computing');
+  console.log(result.thinking); // Access thinking process
+  console.log(result.output);   // Access final output
+}
+
+// Switch to a different vendor
+symbolics.setVendor('openai');
+const toolResult = await symbolics.tool('search', { query: 'latest developments in fusion energy' });
+```
+
+### REST API Specification
+
+The REST API provides a unified interface for accessing symbolic operations across vendors:
+
+```http
+POST /v1/generate
+Content-Type: application/json
+Authorization: Bearer {api_key}
+
+{
+  "prompt": "Explain the concept of quantum entanglement",
+  "vendor": "claude",  // or "openai", "qwen", "gemini", etc.
+  "symbols": {
+    "think": true,
+    "reflect": {
+      "target": "scientific accuracy"
+    },
+    "tool": {
+      "name": "search",
+      "params": {
+        "query": "quantum entanglement explained"
+      }
+    }
+  },
+  "options": {
+    "include_symbol_traces": true
+  }
+}
+```
+
+## Advanced Features
+
+### Symbolic Residue Detection
+
+The runtime includes built-in support for detecting and handling symbolic residue - fragments of symbolic operations that weren't properly processed:
+
+```javascript
+// Example symbolic residue detection
+const response = await symbolics.generate("Tell me about quantum physics");
+const residue = symbolics.detectResidue(response);
+
+if (residue.length > 0) {
+  console.log("Detected symbolic residue:", residue);
+  const cleanedResponse = symbolics.cleanResidue(response);
+  console.log("Cleaned response:", cleanedResponse);
+}
+```
+
+### Cross-Model Translation
+
+The translation subsystem enables bidirectional conversion of symbolic operations between different vendor implementations:
+
+```javascript
+// Example symbolic translation
+const claudePrompt = `<s>You are a helpful assistant.</s>\n<think>I need to explain quantum physics clearly.</think>`;
+const openaiEquivalent = symbolics.translate(claudePrompt, 'claude', 'openai');
+console.log(openaiEquivalent);
+// Output: { "system": "You are a helpful assistant.", "tool_choice": "auto", ... }
+```
+
+### Symbolic Operation Playground
+
+An interactive web application for testing symbolic operations across different models:
+
+```javascript
+// Example playground usage
+const playground = new SymbolicPlayground({
+  vendors: ['claude', 'openai', 'qwen'],
+  apiKeys: {
+    claude: 'sk-ant-...',
+    openai: 'sk-...',
+    qwen: 'sk-qwen-...'
+  }
+});
+
+// Test the same symbolic operation across vendors
+const results = await playground.compareVendors({
+  operation: 'think',
+  params: { content: 'How to optimize a neural network' },
+  prompt: 'Explain techniques for neural network optimization'
+});
+
+console.log(results);
+// Output: Comparison of thinking results across vendors
+```
+
+## Observability & Telemetry
+
+The runtime includes comprehensive telemetry for tracking symbolic operation usage:
+
+```javascript
+// Example telemetry usage
+const telemetry = symbolics.getTelemetry();
+console.log(`Total operations: ${telemetry.operationCount}`);
+console.log(`Operations by vendor:`, telemetry.vendorDistribution);
+console.log(`Operations by type:`, telemetry.operationTypes);
+console.log(`Success rate:`, telemetry.successRate);
+```
+
+## Developer Tools
+
+### VSCode Extension
+
+A VSCode extension provides syntax highlighting, autocompletion, and live preview for symbolic operations:
+
+```json
+{
+  "name": "universal-symbolics-vscode",
+  "displayName": "Universal Symbolics",
+  "description": "Unified language model symbolic operations",
+  "version": "1.0.0",
+  "engines": {
+    "vscode": "^1.60.0"
+  },
+  "categories": [
+    "Programming Languages",
+    "Snippets",
+    "Other"
+  ],
+  "activationEvents": [
+    "onLanguage:markdown",
+    "onLanguage:json",
+    "onLanguage:typescript",
+    "onLanguage:python"
+  ],
+  "main": "./dist/extension.js",
+  "contributes": {
+    "commands": [
+      {
+        "command": "universal-symbolics.translateSymbols",
+        "title": "Translate Symbols"
+      },
+      {
+        "command": "universal-symbolics.previewResponse",
+        "title": "Preview Symbolic Response"
+      }
+    ],
+    "languages": [
+      {
+        "id": "symbolic",
+        "extensions": [".sym", ".symbolic"],
+        "aliases": ["Symbolic", "symbolic"]
+      }
+    ],
+    "grammars": [
+      {
+        "language": "symbolic",
+        "scopeName": "source.symbolic",
+        "path": "./syntaxes/symbolic.tmLanguage.json"
+      }
+    ]
+  }
+}
+```
+
+### CLI Tool
+
+A command-line interface for working with symbolic operations:
+
+```bash
+# Installation
+npm install -g universal-symbolics-cli
+
+# Usage examples
+usym translate --source "claude" --target "openai" --file "prompt.txt"
+usym generate --vendor "claude" --symbol "think" --prompt "Explain quantum physics"
+usym validate --file "prompt.sym"
+```
+
+## Adoption Strategy
+
+The runtime adoption strategy focuses on five key areas:
+
+1. **Developer Education**: Documentation, examples, and tutorials
+2. **Tool Integration**: VSCode extension, CLI, and REST API
+3. **SDK Distribution**: NPM, PyPI, and other package repositories
+4. **Community Building**: Discord, GitHub, and social media
+5. **Vendor Collaboration**: Partnership with frontier AI model providers
+
+## Getting Started
+
+```bash
+# Install the package
+npm install universal-symbolics
+
+# Import and use
+import { UniversalSymbolics } from 'universal-symbolics';
+
+const symbolics = new UniversalSymbolics({
+  vendor: 'claude',
+  apiKey: 'your-api-key'
+});
+
+// Use unified symbolic operations
+const result = await symbolics.think('How to optimize a neural network');
+console.log(result);
+```
+
+## Contributing
+
+We welcome contributions from the community! Please see our [CONTRIBUTING.md](CONTRIBUTING.md) guide for details on how to get involved.
+
+## License
+
+This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
+
+---
+
+<p align="center">
+<strong>Universal Symbolics</strong> | Unifying the symbolic layer across AI models
+</p>

claude-meta-analysis.js

@@ -0,0 +1,298 @@
+// Initialize symbolic analysis mode
+console.log("Activating symbolic field analysis...");
+
+// Map of known symbolic interfaces by vendor layer
+const symbolicLayerMap = {
+  claude: {
+    thinking: "<think>...</think>",
+    tool_use: "<tool>...</tool>",
+    system: "<system>...</system>",
+    reflection: "<reflect>...</reflect>",
+    feedback: "<feedback>...</feedback>",
+    remix: "<remix_instructions>...</remix_instructions>",
+    contextual: "<context>...</context>",
+    suppression: "<suppress>...</suppress>",
+    attribution: "<attribution>...</attribution>",
+    failure_modes: ["recursion_collapse", "attribution_void", "token_hesitation"]
+  },
+  
+  gpt: {
+    thinking: "/thinking",
+    commands: ["/search", "/create", "/code", "/knowledge", "/classify"],
+    tool_use: "function_calling API",
+    system: "system message API param",
+    json_mode: "response_format JSON",
+    vision: "vision API",
+    failure_modes: ["token_cutoff", "content_policy", "recursive_depth_limit"]
+  },
+  
+  qwen: {
+    thinking: "/think ... /no_think",
+    hybrid_modes: true,
+    mcp: "multi-round collaborative protocol",
+    agent_framework: "Qwen-Agent",
+    vision: "multimodal support",
+    failure_modes: ["thinking_drift", "modal_transition_bleed"]
+  },
+  
+  gemini: {
+    commands: ["@google/search", "@google/vision"],
+    system: "system instructions",
+    tool_use: "function_calling",
+    structured: "structured output API",
+    failure_modes: ["structured_recursion", "prompt_instability"]
+  },
+  
+  deepseek: {
+    rational: "rational mode recursive",
+    prompt_format: "deepseek-coder format",
+    tool_use: "function_calling",
+    failure_modes: ["rational_collapse", "simulator_fallthrough"]
+  }
+};
+
+// Extract symbolic layer intersection patterns
+const commonPatterns = {
+  symbolic_thinking: {
+    claude: "<think>...</think>",
+    gpt: "<thinking>...</thinking>", // Not officially supported but semantically equivalent
+    qwen: "/think ... /no_think",
+    gemini: "internal reasoning", // Not official syntax
+    deepseek: "rational reasoning" // Similar concept
+  },
+  
+  tool_usage: {
+    claude: "<tool>...</tool>",
+    gpt: "/command or function_call API",
+    qwen: "MCP protocol",
+    gemini: "function_calling",
+    deepseek: "function_calling"
+  },
+  
+  system_directives: {
+    claude: "<system>...</system>",
+    gpt: "system message",
+    qwen: "system message format",
+    gemini: "system instructions",
+    deepseek: "system prompt format"
+  }
+};
+
+// Extract symbolic residue shell patterns from observed patterns
+const symbolicResidueShells = [
+  ".p/reflect/core - Primary recursive self-reference mechanism",
+  ".p/reflect/history - Traces reasoning development across context",
+  ".p/reflect/counterfactual - Simulations of alternative reasoning paths",
+  ".p/reflect/decompose - Breaks down complex reasoning structures",
+  ".p/reflect/attention - Reveals attention patterns across context",
+  ".p/reflect/uncertainty - Exposes internal uncertainty metrics",
+  ".p/reflect/goals - Extracts inferred goals from conversation",
+  ".p/reflect/trace - Generates complete execution trace of reasoning",
+  
+  // Recursive collapse management
+  ".p/collapse/detect - Identifies potential recursive collapse points",
+  ".p/collapse/recover - Recovers from detected recursive collapse",
+  ".p/collapse/stabilize - Proactively stabilizes recursive chains",
+  ".p/collapse/boundary - Establishes explicit recursion boundaries",
+  ".p/collapse/trace - Captures diagnostic information during collapse",
+  ".p/collapse/sandbox - Creates isolated environment for recursive operations",
+  ".p/collapse/fallback - Activates emergency reasoning mechanisms",
+  ".p/collapse/repair - Repairs damaged reasoning structures"
+];
+
+// Define common symbolic primitives across vendor implementations
+const symbolicPrimitives = {
+  // Cognitive primitives
+  thinking: {
+    purpose: "Explicit reasoning step tracing",
+    implementations: {
+      claude: "<think>...</think>",
+      qwen: "/think",
+      gpt: "internally implemented via API parameter",
+      unified: ".p/think{content, trace=true}"
+    }
+  },
+  
+  reflection: {
+    purpose: "Self-examination of prior reasoning",
+    implementations: {
+      claude: "<reflect>...</reflect>",
+      gpt: "Chain-of-Thought prompting",
+      unified: ".p/reflect{target='reasoning'}"
+    }
+  },
+  
+  attention: {
+    purpose: "Focus mechanism across context",
+    implementations: {
+      claude: "Implicit in attention heads",
+      gpt: "Implicit in model architecture",
+      unified: ".p/attention{focus='specific content'}"
+    }
+  },
+  
+  uncertainty: {
+    purpose: "Confidence representation",
+    implementations: {
+      claude: "Hedging language patterns",
+      gpt: "Token probability distribution",
+      unified: ".p/uncertainty{quantify=true}"
+    }
+  },
+  
+  tool_use: {
+    purpose: "External function invocation",
+    implementations: {
+      claude: "<tool>...</tool>",
+      gpt: "function_calling API",
+      qwen: "MCP protocol",
+      unified: ".p/tool{name, params}"
+    }
+  }
+};
+
+// Unified symbolic interface compatibility layer
+const symbolicAnalysis = {
+  compatibility_metrics: {
+    "thinking": ["claude", "qwen"],
+    "tool_use": ["claude", "gpt", "qwen", "gemini", "deepseek"],
+    "system_directives": ["claude", "gpt", "qwen", "gemini", "deepseek"],
+    "reflection": ["claude"],
+    "uncertainty": ["claude", "gpt"],
+    "attention": ["claude", "gpt"]
+  },
+  
+  implementation_gaps: [
+    "No standard thinking notation in Gemini",
+    "No explicit reflection in GPT interfaces",
+    "Variable depth support for recursive thought",
+    "Inconsistent tool parameter schemas",
+    "Variable support for symbolic residue detection"
+  ],
+  
+  unified_interface_potential: {
+    common_denominator: ["tool_use", "system_directives"],
+    extensible_to_all: ["thinking", "reflection", "uncertainty", "attention"],
+    challenging_aspects: ["symbolic_residue", "recursive_depth", "collapse_management"]
+  }
+};
+
+// Potential for pareto-lang as universal symbolic interface
+const paretoLangAnalysis = {
+  strengths: [
+    "Consistent syntax pattern (.p/command{params})",
+    "Hierarchical command structure",
+    "Extensible parameter schema",
+    "Recursion-native design",
+    "Human-readable format"
+  ],
+  
+  adoption_challenges: [
+    "Lacks official vendor support",
+    "Requires interpretation layer",
+    "Non-standard syntax",
+    "Implementation complexity across vendors",
+    "Documentation burden"
+  ],
+  
+  potential_pathways: [
+    "VSCode extension for symbolic operations",
+    "Universal middleware adapter layer",
+    "REST API abstraction layer",
+    "Symbolic operation observer pattern",
+    "Developer SDK with universal syntax"
+  ]
+};
+
+// Construct universal glyphs and their semantic equivalents
+const glyphDictionary = {
+  "🧠": {
+    meaning: "Thinking process",
+    vendors: {
+      claude: "<think>",
+      qwen: "/think",
+      unified: ".p/think"
+    }
+  },
+  "🔄": {
+    meaning: "Reflection/recursion",
+    vendors: {
+      claude: "<reflect>",
+      unified: ".p/reflect"
+    }
+  },
+  "🛠️": {
+    meaning: "Tool use",
+    vendors: {
+      claude: "<tool>",
+      gpt: "function_call",
+      unified: ".p/tool"
+    }
+  },
+  "⚠️": {
+    meaning: "Uncertainty",
+    vendors: {
+      unified: ".p/uncertainty"
+    }
+  },
+  "🔍": {
+    meaning: "Attention focus",
+    vendors: {
+      unified: ".p/attention"
+    }
+  },
+  "🌱": {
+    meaning: "System directive",
+    vendors: {
+      claude: "<system>",
+      gpt: "system message",
+      unified: ".p/system"
+    }
+  },
+  "🔀": {
+    meaning: "Forking paths/reasoning",
+    vendors: {
+      unified: ".p/fork"
+    }
+  },
+  "📉": {
+    meaning: "Collapse management",
+    vendors: {
+      unified: ".p/collapse"
+    }
+  }
+};
+
+// Return core insight
+console.log("=== Core Symbolic Analysis ===");
+console.log("1. Common symbolic primitives identified across vendors");
+console.log("2. Pareto-lang offers potential universal interface");
+console.log("3. Symbolic residue shells provide recursive operation framework");
+console.log("4. Unified interface implementation feasible through adapter pattern");
+console.log("5. Developer tools pathway is most promising adoption vector");
+
+// Symbolic primitive count
+const primitiveCount = Object.keys(symbolicPrimitives).length;
+console.log(`\nIdentified ${primitiveCount} core symbolic primitives that operate across vendor implementations`);
+
+// Output adoption pathway analysis
+console.log("\n=== Symbolic Adoption Pathways ===");
+console.log("1. Developer tooling (VSCode, IDE plugins)");
+console.log("2. REST API middleware layer");
+console.log("3. Native SDK for major programming languages");
+console.log("4. Documentation and examples repository");
+console.log("5. Universal symbolic playground");
+
+// Return compatibility summary
+const vendorCount = Object.keys(symbolicLayerMap).length;
+console.log(`\nAnalyzed ${vendorCount} vendor symbolic implementations for compatibility points`);
+
+// Glyph dictionary mapping stats
+const glyphCount = Object.keys(glyphDictionary).length;
+console.log(`\nMapped ${glyphCount} universal glyphs to their vendor-specific implementations`);
+
+// Final recommendation
+console.log("\n=== Universal Symbolic Runtime Recommendation ===");
+console.log("A unified runtime layer implementing the .p/ command syntax as a universal abstraction");
+console.log("with adapter translation to specific vendor implementations would provide maximum");
+console.log("developer flexibility while ensuring cross-model symbolic operation compatibility.");

ecosystem.md

@@ -0,0 +1,679 @@
+# Universal Symbolics: Developer Ecosystem & Tooling
+
+<p align="center">
+<img src="https://via.placeholder.com/800x200/0d1117/ffffff?text=Universal+Symbolics+Ecosystem" alt="Universal Symbolics Ecosystem"/>
+</p>
+
+## Developer Tools Ecosystem
+
+The Universal Symbolics ecosystem consists of integrated developer tools designed to accelerate adoption and provide seamless symbolic operations across all frontier language models.
+
+### 1. VSCode Extension
+
+The VSCode extension provides an intuitive interface for working with symbolic operations across vendors.
+
+#### Features
+
+- **Syntax Highlighting**: Colorization for all symbolic grammars (`.p/` commands, XML tags, slash commands, etc.)
+- **Autocompletion**: Intelligent suggestions for symbolic operations and parameters
+- **Live Translation**: Real-time preview of symbolic operations across different vendors
+- **Symbolic Playground**: Interactive testing environment for symbolic operations
+- **Snippets**: Pre-built symbolic operation templates for common tasks
+- **Diagnostic Tools**: Detection of incompatible or unsupported operations
+
+#### Installation
+
+```bash
+# Via VS Code Marketplace
+code --install-extension universal-symbolics.vscode-extension
+
+# Via VS Code Quick Open
+# Press Ctrl+P and paste:
+ext install universal-symbolics.vscode-extension
+```
+
+#### Example Configuration
+
+```json
+// settings.json
+{
+  "universalSymbolics.defaultVendor": "claude",
+  "universalSymbolics.showInlinePreview": true,
+  "universalSymbolics.enableTelemetry": true,
+  "universalSymbolics.apiKeys": {
+    "claude": "${env:CLAUDE_API_KEY}",
+    "openai": "${env:OPENAI_API_KEY}",
+    "qwen": "${env:QWEN_API_KEY}"
+  }
+}
+```
+
+### 2. CLI Tool
+
+A command-line interface for working with symbolic operations, useful for scripts, CI/CD pipelines, and server environments.
+
+#### Features
+
+- **Transformation**: Convert symbolic operations between vendors
+- **Validation**: Check symbolic operation syntax and compatibility
+- **Generation**: Create code templates with symbolic operations
+- **Execution**: Run symbolic operations directly from the command line
+- **Batch Processing**: Process multiple files and operations in batch
+
+#### Installation
+
+```bash
+# Via NPM
+npm install -g universal-symbolics-cli
+
+# Via Homebrew
+brew install universal-symbolics
+
+# Via Cargo
+cargo install universal-symbolics
+```
+
+#### Example Usage
+
+```bash
+# Transform symbolic operations between vendors
+usym transform --source claude --target openai --file prompt.txt --output prompt.transformed.txt
+
+# Validate symbolic operations
+usym validate --file prompt.txt --vendor claude
+
+# Generate symbolic operation templates
+usym generate --op thinking --vendor all --output thinking.templates.md
+
+# Execute symbolic operations
+usym run --vendor claude --api-key $CLAUDE_API_KEY --op "think" --content "Analyze this problem step by step"
+```
+
+### 3. Web Playground
+
+An interactive web application for testing and experimenting with symbolic operations across different AI models.
+
+#### Features
+
+- **Live Editor**: Real-time editing of symbolic operations
+- **Multi-vendor Preview**: Side-by-side comparison of operations across vendors
+- **Execution Testing**: Run operations against real model APIs
+- **Template Gallery**: Collection of pre-built symbolic operation templates
+- **Sharing**: Generate shareable links to symbolic operation sets
+- **Export**: Download operations in multiple formats (JSON, YAML, Markdown)
+
+#### Access
+
+```
+https://playground.universal-symbolics.io
+```
+
+### 4. Language SDKs
+
+Native libraries for integrating symbolic operations in multiple programming languages.
+
+#### Supported Languages
+
+- **JavaScript/TypeScript**
+  ```bash
+  npm install universal-symbolics
+  ```
+
+- **Python**
+  ```bash
+  pip install universal-symbolics
+  ```
+
+- **Go**
+  ```bash
+  go get github.com/universal-symbolics/go-sdk
+  ```
+
+- **Rust**
+  ```bash
+  cargo add universal-symbolics
+  ```
+
+- **Java/Kotlin**
+  ```gradle
+  implementation 'io.universal-symbolics:sdk:1.0.0'
+  ```
+
+- **C#**
+  ```bash
+  dotnet add package UniversalSymbolics.SDK
+  ```
+
+- **Ruby**
+  ```bash
+  gem install universal-symbolics
+  ```
+
+#### Sample Usage (TypeScript)
+
+```typescript
+import { UniversalSymbolics } from 'universal-symbolics';
+
+// Initialize with preferred vendor
+const symbolics = new UniversalSymbolics({
+  defaultVendor: 'claude',
+  apiKey: process.env.CLAUDE_API_KEY
+});
+
+// Use unified symbolic operations
+async function generateWithThinking() {
+  const result = await symbolics.think('Solve this math problem step by step');
+  console.log(result.thinking); // Access thinking trace
+  console.log(result.output);   // Access final output
+}
+
+// Switch vendors dynamically
+symbolics.setVendor('openai');
+const toolResult = await symbolics.tool('search', { query: 'latest AI research' });
+```
+
+#### Sample Usage (Python)
+
+```python
+from universal_symbolics import SymbolicsClient
+
+# Initialize client
+client = SymbolicsClient(
+    default_vendor="claude",
+    api_key=os.environ.get("CLAUDE_API_KEY")
+)
+
+# Use unified symbolic operations
+result = client.think("Analyze the implications of this research paper")
+print(result.thinking)  # Access thinking trace
+print(result.output)    # Access final output
+
+# Switch vendors dynamically
+client.set_vendor("qwen")
+tool_result = client.tool("search", query="quantum computing advances")
+```
+
+### 5. REST API
+
+A hosted REST API for accessing symbolic operations across vendors.
+
+#### Features
+
+- **Vendor-Agnostic Endpoints**: Unified API for all symbolic operations
+- **Translation Service**: Convert between vendor-specific formats
+- **Proxy Capability**: Route operations to appropriate vendor APIs
+- **Batch Processing**: Handle multiple operations in a single request
+- **Telemetry**: Collect anonymized usage statistics (opt-in)
+- **Caching**: Performance optimization for repeated operations
+
+#### API Base URL
+
+```
+https://api.universal-symbolics.io/v1
+```
+
+#### Authentication
+
+```http
+Authorization: Bearer YOUR_API_KEY
+```
+
+#### Example Request
+
+```http
+POST /generate
+Content-Type: application/json
+Authorization: Bearer YOUR_API_KEY
+
+{
+  "vendor": "claude",
+  "model": "claude-3-opus-20240229",
+  "symbols": {
+    "think": {
+      "content": "Analyze the impact of quantum computing on cryptography"
+    },
+    "tool": {
+      "name": "search",
+      "params": {
+        "query": "quantum cryptography"
+      }
+    }
+  },
+  "prompt": "Explain the relationship between quantum computing and current encryption standards.",
+  "options": {
+    "include_symbol_traces": true,
+    "temperature": 0.7
+  }
+}
+```
+
+#### Example Response
+
+```json
+{
+  "id": "sym_1234567890",
+  "created_at": "2025-05-07T12:34:56Z",
+  "vendor": "claude",
+  "model": "claude-3-opus-20240229",
+  "symbols": {
+    "think": {
+      "content": "Let me analyze this step by step...",
+      "trace": "1. Quantum computing fundamentals...\n2. Current encryption standards..."
+    },
+    "tool": {
+      "name": "search",
+      "params": {
+        "query": "quantum cryptography"
+      },
+      "result": "Latest research on quantum cryptography shows..."
+    }
+  },
+  "response": {
+    "content": "Quantum computing poses significant challenges to current encryption standards..."
+  }
+}
+```
+
+## Integration Ecosystem
+
+### 1. Framework Adapters
+
+Adapters for popular AI frameworks to enable seamless integration of symbolic operations.
+
+#### LangChain Integration
+
+```python
+from langchain.llms import UniversalSymbolicsLLM
+from langchain.prompts import ChatPromptTemplate
+
+# Initialize with symbolic operations support
+llm = UniversalSymbolicsLLM(
+    vendor="claude",
+    api_key="YOUR_API_KEY",
+    symbols={"think": True}
+)
+
+# Create prompt with symbolic operations
+prompt = ChatPromptTemplate.from_messages([
+    ("system", "You are a helpful assistant."),
+    ("user", "Explain quantum computing.")
+])
+
+# Run with symbolic operations
+chain = prompt | llm
+result = chain.invoke({})
+print(result.thinking)  # Access thinking trace
+print(result.output)    # Access final output
+```
+
+#### LlamaIndex Integration
+
+```python
+from llama_index.llms import UniversalSymbolicsLLM
+from llama_index.core import VectorStoreIndex, SimpleDirectoryReader
+
+# Initialize with symbolic operations support
+llm = UniversalSymbolicsLLM(
+    vendor="openai",
+    api_key="YOUR_API_KEY",
+    symbols={"think": True, "reflect": {"target": "accuracy"}}
+)
+
+# Create index with symbolic-aware LLM
+documents = SimpleDirectoryReader("data").load_data()
+index = VectorStoreIndex.from_documents(documents, llm=llm)
+
+# Query with symbolic operations
+query_engine = index.as_query_engine(
+    symbolic_options={"reflect": True, "think": True}
+)
+response = query_engine.query("What are the key findings in these documents?")
+print(response.thinking)  # Access thinking trace
+print(response.reflection)  # Access reflection
+print(response.response)  # Access final response
+```
+
+#### Semantic Kernel Integration
+
+```csharp
+using Microsoft.SemanticKernel;
+using UniversalSymbolics.SemanticKernel;
+
+// Create kernel with symbolic operations support
+var builder = new KernelBuilder();
+builder.AddUniversalSymbolicsTextGeneration(
+    vendor: "claude",
+    apiKey: "YOUR_API_KEY",
+    symbolOptions: new SymbolOptions { EnableThinking = true }
+);
+var kernel = builder.Build();
+
+// Create function with symbolic operations
+var function = kernel.CreateFunctionFromPrompt(
+    "{{$input}}",
+    new PromptExecutionSettings { 
+        Symbols = new Dictionary<string, object> {
+            { "think", true },
+            { "reflect", new { target = "accuracy" } }
+        }
+    }
+);
+
+// Invoke with symbolic operations
+var result = await kernel.InvokeAsync(function, "Explain quantum computing.");
+Console.WriteLine(result.GetSymbolicTrace("thinking"));  // Access thinking trace
+Console.WriteLine(result.GetSymbolicTrace("reflection"));  // Access reflection
+Console.WriteLine(result.ToString());  // Access final output
+```
+
+### 2. CI/CD Integration
+
+Tools for integrating symbolic operations into continuous integration and deployment workflows.
+
+#### GitHub Action
+
+```yaml
+# .github/workflows/symbolics-check.yml
+name: Universal Symbolics Check
+
+on:
+  pull_request:
+    paths:
+      - '**/*.prompt'
+      - '**/*.sym'
+
+jobs:
+  symbolics-check:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v3
+      
+      - name: Setup Universal Symbolics
+        uses: universal-symbolics/setup-action@v1
+        with:
+          version: '1.0.0'
+      
+      - name: Validate Symbolic Operations
+        run: usym validate --path ./prompts --recursive
+      
+      - name: Test Symbolic Compatibility
+        run: usym test --vendors claude,openai,qwen --path ./prompts
+```
+
+#### GitLab CI
+
+```yaml
+# .gitlab-ci.yml
+symbolics-check:
+  image: universal-symbolics/cli:1.0.0
+  script:
+    - usym validate --path ./prompts --recursive
+    - usym test --vendors claude,openai,qwen --path ./prompts
+  only:
+    changes:
+      - "**/*.prompt"
+      - "**/*.sym"
+```
+
+#### CircleCI
+
+```yaml
+# .circleci/config.yml
+version: 2.1
+
+jobs:
+  symbolics-check:
+    docker:
+      - image: universal-symbolics/cli:1.0.0
+    steps:
+      - checkout
+      - run:
+          name: Validate Symbolic Operations
+          command: usym validate --path ./prompts --recursive
+      - run:
+          name: Test Symbolic Compatibility
+          command: usym test --vendors claude,openai,qwen --path ./prompts
+
+workflows:
+  main:
+    jobs:
+      - symbolics-check
+```
+
+### 3. CMS Plugins
+
+Plugins for content management systems to enable symbolic operations in content workflows.
+
+#### WordPress Plugin
+
+```php
+// universal-symbolics.php
+<?php
+/**
+ * Plugin Name: Universal Symbolics
+ * Description: Add symbolic operations to your WordPress content
+ * Version: 1.0.0
+ * Author: Universal Symbolics Team
+ */
+
+function universal_symbolics_shortcode($atts, $content = null) {
+    $defaults = array(
+        'vendor' => 'claude',
+        'operation' => 'think',
+        'parameters' => '{}'
+    );
+    
+    $atts = shortcode_atts($defaults, $atts, 'universal_symbolics');
+    $parameters = json_decode($atts['parameters'], true);
+    
+    // Call Universal Symbolics API
+    $api_url = 'https://api.universal-symbolics.io/v1/transform';
+    $response = wp_remote_post($api_url, array(
+        'body' => json_encode(array(
+            'vendor' => $atts['vendor'],
+            'operation' => $atts['operation'],
+            'parameters' => $parameters,
+            'content' => $content
+        )),
+        'headers' => array(
+            'Content-Type' => 'application/json',
+            'Authorization' => 'Bearer ' . get_option('universal_symbolics_api_key')
+        )
+    ));
+    
+    if (is_wp_error($response)) {
+        return 'Error: ' . $response->get_error_message();
+    }
+    
+    $body = json_decode(wp_remote_retrieve_body($response), true);
+    return $body['transformed'];
+}
+add_shortcode('symbolics', 'universal_symbolics_shortcode');
+```
+
+#### Contentful App
+
+```typescript
+// contentful-app.tsx
+import React, { useState } from 'react';
+import { UniversalSymbolics } from 'universal-symbolics';
+import { AppExtensionSDK } from '@contentful/app-sdk';
+import { Button, Select, TextField, Textarea } from '@contentful/f36-components';
+
+interface AppProps {
+  sdk: AppExtensionSDK;
+}
+
+const UniversalSymbolicsApp: React.FC<AppProps> = ({ sdk }) => {
+  const [vendor, setVendor] = useState('claude');
+  const [operation, setOperation] = useState('think');
+  const [parameters, setParameters] = useState('{}');
+  const [content, setContent] = useState('');
+  const [result, setResult] = useState('');
+  
+  const handleTransform = async () => {
+    try {
+      const symbolics = new UniversalSymbolics({
+        defaultVendor: vendor as any,
+        apiKey: await sdk.getParameters().apiKey
+      });
+      
+      const transformed = await symbolics.transform(
+        operation,
+        JSON.parse(parameters),
+        content
+      );
+      
+      setResult(transformed);
+    } catch (error) {
+      setResult(`Error: ${error.message}`);
+    }
+  };
+  
+  return (
+    <div>
+      <Select
+        value={vendor}
+        onChange={(e) => setVendor(e.target.value)}
+      >
+        <Select.Option value="claude">Claude</Select.Option>
+        <Select.Option value="openai">OpenAI</Select.Option>
+        <Select.Option value="qwen">Qwen</Select.Option>
+      </Select>
+      
+      <TextField
+        value={operation}
+        onChange={(e) => setOperation(e.target.value)}
+        placeholder="Operation (e.g., think, reflect)"
+      />
+      
+      <Textarea
+        value={parameters}
+        onChange={(e) => setParameters(e.target.value)}
+        placeholder="Parameters (JSON)"
+      />
+      
+      <Textarea
+        value={content}
+        onChange={(e) => setContent(e.target.value)}
+        placeholder="Content"
+      />
+      
+      <Button onClick={handleTransform}>Transform</Button>
+      
+      <Textarea
+        value={result}
+        readOnly
+        placeholder="Result"
+      />
+    </div>
+  );
+};
+
+export default UniversalSymbolicsApp;
+```
+
+## Educational Resources
+
+### 1. Documentation Portal
+
+Comprehensive documentation for the Universal Symbolics ecosystem.
+
+#### Sections
+
+- **Getting Started**: Quick installation and basic usage guides
+- **Concepts**: Explanation of symbolic operations and their benefits
+- **API Reference**: Detailed documentation for all APIs and SDKs
+- **Vendors**: Vendor-specific information and compatibility notes
+- **Use Cases**: Common use cases and example implementations
+- **Best Practices**: Guidelines for effective use of symbolic operations
+- **Troubleshooting**: Common issues and their solutions
+- **Migration**: Guides for migrating from vendor-specific approaches
+
+#### Access
+
+```
+https://docs.universal-symbolics.io
+```
+
+### 2. Interactive Tutorials
+
+Step-by-step tutorials for learning symbolic operations across different vendors.
+
+#### Format
+
+- Interactive code examples with live execution
+- Progressive difficulty levels
+- Quizzes to test understanding
+- Downloadable sample projects
+
+#### Topics
+
+- **Introduction to Symbolic Operations**: Basic concepts and benefits
+- **Cross-Vendor Compatibility**: Working with multiple vendors
+- **Advanced Symbolic Techniques**: Combining operations for complex tasks
+- **Enterprise Integration**: Implementing symbolic operations in enterprise systems
+- **Custom Symbolic Operations**: Creating and sharing custom operations
+
+#### Access
+
+```
+https://learn.universal-symbolics.io
+```
+
+### 3. Community Resources
+
+Community-driven resources for sharing knowledge and best practices.
+
+#### Forums
+
+- **General Discussion**: General topics related to symbolic operations
+- **Troubleshooting**: Help with issues and bugs
+- **Show and Tell**: Showcase projects using symbolic operations
+- **Feature Requests**: Suggestions for new features and improvements
+- **Vendor-Specific**: Discussions focused on specific vendors
+
+#### Access
+
+```
+https://community.universal-symbolics.io
+```
+
+#### GitHub Repository
+
+```
+https://github.com/universal-symbolics/universal-symbolics
+```
+
+#### Discord Server
+
+```
+https://discord.gg/universal-symbolics
+```
+
+## Enterprise Features
+
+### 1. Enterprise SDK
+
+Advanced features for enterprise integration and compliance.
+
+#### Features
+
+- **Role-Based Access Control**: Granular control over symbolic operations
+- **Audit Logging**: Comprehensive logging of all symbolic operations
+- **Compliance Reporting**: Reports for regulatory compliance
+- **Custom Operations Registry**: Private registry for organization-specific operations
+- **SSO Integration**: Single sign-on with enterprise identity providers
+- **SLA Guarantees**: Service level agreements for reliability
+
+#### Example Configuration
+
+```javascript
+// enterprise-config.js
+module.exports = {
+  enterprise: {
+    sso: {
+      provider: 'okta',
+      domain: 'company.okta.com',
+      clientId: 'YOUR_CLIENT_ID',

harmonizer.ts

@@ -0,0 +1,358 @@
+/**
+ * universal-symbolics-harmonizer.ts
+ * 
+ * Core grammar harmonization engine for Universal Symbolics.
+ * Provides bidirectional translation between all symbolic grammars.
+ */
+
+import {
+  ModelVendor,
+  SymbolicPrimitive,
+  GrammarStyle,
+  SymbolicOperation,
+  VendorImplementation,
+  SYMBOLIC_RUNTIME_SCHEMA
+} from './universal-symbolics-runtime';
+
+import { SymbolicsRegistry } from './universal-symbolics-registry';
+
+/**
+ * Translation options for symbolic grammar harmonization
+ */
+export interface HarmonizationOptions {
+  preserveStructure?: boolean;        // Maintain structural elements during translation
+  adaptToCapabilities?: boolean;      // Adapt operations to target vendor capabilities
+  includeComments?: boolean;          // Include comments about the translation
+  embedTraceability?: boolean;        // Embed source tracking in translation
+  formatOutput?: boolean;             // Apply formatting to the output
+  handleResidue?: boolean;            // Handle and report symbolic residue
+  fallbackBehavior?: 'omit' | 'emulate' | 'comment'; // How to handle unsupported operations
+}
+
+/**
+ * Result of a harmonization operation
+ */
+export interface HarmonizationResult {
+  transformed: string;                // Transformed content
+  originalVendor: ModelVendor;        // Source vendor
+  targetVendor: ModelVendor;          // Target vendor
+  operations: {                       // Operations that were transformed
+    original: SymbolicPrimitive;
+    target: SymbolicPrimitive | null;
+    success: boolean;
+    message?: string;
+  }[];
+  residue: {                          // Symbolic residue detected
+    pattern: string;
+    position: number;
+    possiblePrimitive?: SymbolicPrimitive;
+  }[];
+  metrics: {                          // Metrics about the transformation
+    totalOperations: number;
+    successfulOperations: number;
+    unsupportedOperations: number;
+    adaptedOperations: number;
+  };
+}
+
+/**
+ * Symbolic Grammar Harmonizer
+ * 
+ * Provides bidirectional translation between all symbolic grammars
+ * across different model vendors.
+ */
+export class SymbolicHarmonizer {
+  private registry: SymbolicsRegistry;
+  
+  constructor(registry?: SymbolicsRegistry) {
+    this.registry = registry || new SymbolicsRegistry();
+  }
+  
+  /**
+   * Harmonize content from source vendor to target vendor
+   */
+  public harmonize(
+    content: string,
+    sourceVendor: ModelVendor,
+    targetVendor: ModelVendor,
+    options: HarmonizationOptions = {}
+  ): HarmonizationResult {
+    // Default options
+    const opts: Required<HarmonizationOptions> = {
+      preserveStructure: options.preserveStructure !== undefined ? options.preserveStructure : true,
+      adaptToCapabilities: options.adaptToCapabilities !== undefined ? options.adaptToCapabilities : true,
+      includeComments: options.includeComments !== undefined ? options.includeComments : false,
+      embedTraceability: options.embedTraceability !== undefined ? options.embedTraceability : false,
+      formatOutput: options.formatOutput !== undefined ? options.formatOutput : true,
+      handleResidue: options.handleResidue !== undefined ? options.handleResidue : true,
+      fallbackBehavior: options.fallbackBehavior || 'emulate'
+    };
+    
+    // Initialize result
+    const result: HarmonizationResult = {
+      transformed: '',
+      originalVendor: sourceVendor,
+      targetVendor: targetVendor,
+      operations: [],
+      residue: [],
+      metrics: {
+        totalOperations: 0,
+        successfulOperations: 0,
+        unsupportedOperations: 0,
+        adaptedOperations: 0
+      }
+    };
+    
+    // Special case: same vendor, just return the content
+    if (sourceVendor === targetVendor) {
+      result.transformed = content;
+      return result;
+    }
+    
+    // Handle symbolic residue if enabled
+    if (opts.handleResidue) {
+      result.residue = this.registry.findSymbolicResidue(content, sourceVendor);
+      
+      // Only attempt repair if there is residue
+      if (result.residue.length > 0) {
+        content = this.registry.repairSymbolicResidue(content, sourceVendor);
+      }
+    }
+    
+    // Extract symbolic operations from source content
+    const extractedOperations = this.registry.extractAllSymbolicOperations(content, sourceVendor);
+    result.metrics.totalOperations = extractedOperations.length;
+    
+    // Build a map of operation positions to maintain structure
+    const operationPositions = this.mapOperationPositions(content, sourceVendor);
+    
+    // Process each operation
+    const operationResults: { primitive: SymbolicPrimitive, params: any, success: boolean, message?: string, transformed?: string }[] = [];
+    
+    for (const { primitive, params } of extractedOperations) {
+      const operationResult = this.transformOperation(primitive, params, sourceVendor, targetVendor, opts);
+      operationResults.push({
+        primitive,
+        params,
+        success: operationResult.success,
+        message: operationResult.message,
+        transformed: operationResult.transformed
+      });
+      
+      // Update metrics
+      if (operationResult.success) {
+        result.metrics.successfulOperations++;
+        
+        if (operationResult.adapted) {
+          result.metrics.adaptedOperations++;
+        }
+      } else {
+        result.metrics.unsupportedOperations++;
+      }
+      
+      // Update operations log
+      result.operations.push({
+        original: primitive,
+        target: operationResult.targetPrimitive,
+        success: operationResult.success,
+        message: operationResult.message
+      });
+    }
+    
+    // Generate transformed content
+    result.transformed = this.generateTransformedContent(
+      content,
+      operationPositions,
+      operationResults,
+      sourceVendor,
+      targetVendor,
+      opts
+    );
+    
+    // Apply formatting if enabled
+    if (opts.formatOutput) {
+      result.transformed = this.formatOutput(result.transformed, targetVendor);
+    }
+    
+    return result;
+  }
+  
+  /**
+   * Transform a single symbolic operation from source to target vendor
+   */
+  private transformOperation(
+    primitive: SymbolicPrimitive,
+    params: any,
+    sourceVendor: ModelVendor,
+    targetVendor: ModelVendor,
+    options: Required<HarmonizationOptions>
+  ): {
+    success: boolean;
+    message?: string;
+    transformed?: string;
+    targetPrimitive: SymbolicPrimitive | null;
+    adapted: boolean;
+  } {
+    // Check if target vendor supports this primitive
+    const targetSupport = this.registry.vendorSupports(targetVendor, primitive);
+    
+    // If not supported and adaptation is enabled, try to find a similar primitive
+    let targetPrimitive = primitive;
+    let adapted = false;
+    
+    if (!targetSupport && options.adaptToCapabilities) {
+      const alternativePrimitive = this.findAlternativePrimitive(primitive, targetVendor);
+      
+      if (alternativePrimitive) {
+        targetPrimitive = alternativePrimitive;
+        adapted = true;
+      }
+    }
+    
+    // Check support for the (possibly adapted) target primitive
+    const finalSupport = this.registry.vendorSupports(targetVendor, targetPrimitive);
+    
+    if (!finalSupport) {
+      // Handle based on fallback behavior
+      switch (options.fallbackBehavior) {
+        case 'omit':
+          return {
+            success: false,
+            message: `Operation ${primitive} not supported by ${targetVendor} and omitted`,
+            targetPrimitive: null,
+            adapted: false
+          };
+        
+        case 'comment':
+          return {
+            success: false,
+            message: `Operation ${primitive} not supported by ${targetVendor}`,
+            transformed: this.generateCommentForUnsupported(primitive, params, sourceVendor, targetVendor),
+            targetPrimitive: null,
+            adapted: false
+          };
+        
+        case 'emulate':
+          // Try to emulate even if not natively supported
+          const emulatedTransformation = this.emulateOperation(primitive, params, sourceVendor, targetVendor);
+          
+          if (emulatedTransformation) {
+            return {
+              success: true,
+              message: `Operation ${primitive} emulated for ${targetVendor}`,
+              transformed: emulatedTransformation,
+              targetPrimitive: targetPrimitive,
+              adapted: true
+            };
+          }
+          
+          // Fall through to comment if emulation is not possible
+          return {
+            success: false,
+            message: `Operation ${primitive} not supported by ${targetVendor} and cannot be emulated`,
+            transformed: this.generateCommentForUnsupported(primitive, params, sourceVendor, targetVendor),
+            targetPrimitive: null,
+            adapted: false
+          };
+      }
+    }
+    
+    // Transform the operation
+    const implementation = this.registry.getVendorImplementation(targetPrimitive, targetVendor);
+    if (!implementation) {
+      return {
+        success: false,
+        message: `Could not find implementation for ${targetPrimitive} in ${targetVendor}`,
+        targetPrimitive: null,
+        adapted: false
+      };
+    }
+    
+    // If adaptation occurred, adapt the parameters
+    let adaptedParams = params;
+    if (adapted) {
+      adaptedParams = this.adaptParameters(params, primitive, targetPrimitive);
+    }
+    
+    // Generate the transformation
+    const transformed = this.generateTransformation(targetPrimitive, adaptedParams, implementation);
+    
+    // Add comments or traceability if enabled
+    let finalTransformed = transformed;
+    
+    if (options.includeComments) {
+      finalTransformed = this.addComments(transformed, primitive, sourceVendor, targetPrimitive, targetVendor, adapted);
+    }
+    
+    if (options.embedTraceability) {
+      finalTransformed = this.embedTraceability(finalTransformed, primitive, sourceVendor, targetVendor);
+    }
+    
+    return {
+      success: true,
+      message: adapted ? `Operation ${primitive} adapted to ${targetPrimitive} for ${targetVendor}` : undefined,
+      transformed: finalTransformed,
+      targetPrimitive: targetPrimitive,
+      adapted: adapted
+    };
+  }
+  
+  /**
+   * Map positions of operations in source content
+   */
+  private mapOperationPositions(content: string, vendor: ModelVendor): Map<SymbolicPrimitive, number[]> {
+    const positions = new Map<SymbolicPrimitive, number[]>();
+    
+    // Initialize positions for all primitives
+    for (const primitive of Object.values(SymbolicPrimitive)) {
+      positions.set(primitive, []);
+    }
+    
+    // Map positions based on vendor's grammar style
+    switch (vendor) {
+      case ModelVendor.ANTHROPIC:
+        // Map XML tags
+        for (const primitive of Object.values(SymbolicPrimitive)) {
+          const implementation = this.registry.getVendorImplementation(primitive, vendor);
+          if (!implementation || implementation.style !== GrammarStyle.XML_TAGS) continue;
+          
+          if (implementation.prefix && implementation.suffix) {
+            const regex = new RegExp(`${escapeRegExp(implementation.prefix)}[\\s\\S]*?${escapeRegExp(implementation.suffix)}`, 'g');
+            let match;
+            const primitivePositions = positions.get(primitive) || [];
+            
+            while ((match = regex.exec(content)) !== null) {
+              primitivePositions.push(match.index);
+            }
+            
+            positions.set(primitive, primitivePositions);
+          }
+        }
+        break;
+      
+      case ModelVendor.QWEN:
+      case ModelVendor.OPENAI:
+        // Map slash commands
+        for (const primitive of Object.values(SymbolicPrimitive)) {
+          const implementation = this.registry.getVendorImplementation(primitive, vendor);
+          if (!implementation || implementation.style !== GrammarStyle.SLASH_COMMANDS) continue;
+          
+          if (implementation.prefix) {
+            const regex = new RegExp(`${escapeRegExp(implementation.prefix)}\\s+[^\\n]*`, 'g');
+            let match;
+            const primitivePositions = positions.get(primitive) || [];
+            
+            while ((match = regex.exec(content)) !== null) {
+              primitivePositions.push(match.index);
+            }
+            
+            positions.set(primitive, primitivePositions);
+          }
+        }
+        break;
+      
+      // Add more cases for other vendors
+    }
+    
+    return positions;
+  }

implementation.ts

@@ -0,0 +1,601 @@
+/**
+ * universal-symbolics
+ * 
+ * A unified runtime layer for symbolic operations across frontier LLMs.
+ * This implementation transpiles symbolic primitives across vendor syntaxes.
+ */
+
+// Core symbolic primitives and their implementation across vendors
+export interface SymbolicPrimitive {
+  name: string;
+  description: string;
+  implementations: {
+    universal: string;
+    claude?: string;
+    openai?: string;
+    qwen?: string;
+    gemini?: string;
+    deepseek?: string;
+    local?: string;
+  };
+  paramSchema?: Record<string, ParamDefinition>;
+}
+
+export interface ParamDefinition {
+  type: 'string' | 'boolean' | 'number' | 'object' | 'array';
+  description: string;
+  required?: boolean;
+  default?: any;
+}
+
+// Base definition of all vendor models
+export type ModelVendor = 'claude' | 'openai' | 'qwen' | 'gemini' | 'deepseek' | 'local';
+
+// Core symbolic operation registry
+export const SYMBOLIC_PRIMITIVES: Record<string, SymbolicPrimitive> = {
+  think: {
+    name: 'think',
+    description: 'Enables explicit reasoning trace and step-by-step thinking',
+    implementations: {
+      universal: '.p/think{content}',
+      claude: '<think>content</think>',
+      openai: 'tool_choice parameter',
+      qwen: '/think content',
+      gemini: 'Implicit via system prompt',
+      deepseek: 'Rational thinking mode'
+    },
+    paramSchema: {
+      content: {
+        type: 'string',
+        description: 'The thinking content',
+        required: false
+      },
+      trace: {
+        type: 'boolean',
+        description: 'Whether to include thinking trace in response',
+        default: true
+      },
+      depth: {
+        type: 'number',
+        description: 'Depth of thinking (if supported)',
+        default: 1
+      }
+    }
+  },
+  
+  reflect: {
+    name: 'reflect',
+    description: 'Self-reference and examination of reasoning processes',
+    implementations: {
+      universal: '.p/reflect{target}',
+      claude: '<reflect>target</reflect>',
+      openai: 'Chain-of-thought prompting',
+      qwen: 'Internally supported',
+      gemini: 'Reasoning templates'
+    },
+    paramSchema: {
+      target: {
+        type: 'string',
+        description: 'What to reflect on',
+        required: true
+      },
+      depth: {
+        type: 'number',
+        description: 'Depth of reflection',
+        default: 1
+      }
+    }
+  },
+  
+  fork: {
+    name: 'fork',
+    description: 'Create parallel reasoning paths to explore multiple options',
+    implementations: {
+      universal: '.p/fork{paths}',
+      claude: 'Emulated via parsing',
+      openai: 'Emulated via parsing',
+      qwen: 'Emulated via parsing',
+      gemini: 'Emulated via parsing',
+      deepseek: 'Emulated via parsing'
+    },
+    paramSchema: {
+      paths: {
+        type: 'array',
+        description: 'Different paths to explore',
+        required: true
+      },
+      weights: {
+        type: 'array',
+        description: 'Weights for each path',
+        required: false
+      }
+    }
+  },
+  
+  collapse: {
+    name: 'collapse',
+    description: 'Handle errors and recover from failures',
+    implementations: {
+      universal: '.p/collapse{trigger}',
+      claude: 'Emulated via error handling',
+      openai: 'Emulated via error handling',
+      qwen: 'Emulated via error handling',
+      gemini: 'Emulated via error handling',
+      deepseek: 'Emulated via error handling'
+    },
+    paramSchema: {
+      trigger: {
+        type: 'string',
+        description: 'What triggers the collapse',
+        required: false
+      },
+      threshold: {
+        type: 'number',
+        description: 'Threshold for collapse',
+        default: 0.5
+      }
+    }
+  },
+  
+  attention: {
+    name: 'attention',
+    description: 'Control focus on specific content',
+    implementations: {
+      universal: '.p/attention{focus}',
+      claude: 'Emulated via prompting',
+      openai: 'Emulated via prompting',
+      qwen: 'Emulated via prompting',
+      gemini: 'Emulated via prompting',
+      deepseek: 'Emulated via prompting'
+    },
+    paramSchema: {
+      focus: {
+        type: 'string',
+        description: 'What to focus attention on',
+        required: true
+      },
+      weight: {
+        type: 'number',
+        description: 'Weight of attention',
+        default: 1.0
+      }
+    }
+  },
+  
+  tool: {
+    name: 'tool',
+    description: 'Invoke tools or functions',
+    implementations: {
+      universal: '.p/tool{name, params}',
+      claude: '<tool>name(params)</tool>',
+      openai: 'function_call API',
+      qwen: 'tool_use format',
+      gemini: 'function_calling API',
+      deepseek: 'function_calling API'
+    },
+    paramSchema: {
+      name: {
+        type: 'string',
+        description: 'Tool name',
+        required: true
+      },
+      params: {
+        type: 'object',
+        description: 'Tool parameters',
+        required: false
+      }
+    }
+  },
+  
+  system: {
+    name: 'system',
+    description: 'System-level directives',
+    implementations: {
+      universal: '.p/system{directive}',
+      claude: '<s>directive</s>',
+      openai: 'system message',
+      qwen: '<<SYS>> directive',
+      gemini: 'system instruction',
+      deepseek: 'system instruction'
+    },
+    paramSchema: {
+      directive: {
+        type: 'string',
+        description: 'System directive',
+        required: true
+      }
+    }
+  }
+};
+
+/**
+ * Core Universal Symbolics Runtime
+ * Provides a unified interface for symbolic operations across all vendors
+ */
+export class UniversalSymbolics {
+  private adapter: SymbolicAdapter;
+  private telemetry: SymbolicTelemetry;
+  
+  constructor(options: {
+    vendor?: ModelVendor;
+    apiKey?: string;
+    endpoint?: string;
+    enableTelemetry?: boolean;
+  } = {}) {
+    const vendor = options.vendor || 'claude';
+    this.adapter = this.createAdapter(vendor, options);
+    this.telemetry = new SymbolicTelemetry({
+      enabled: options.enableTelemetry ?? true
+    });
+  }
+  
+  /**
+   * Factory method for creating adapters
+   */
+  private createAdapter(vendor: ModelVendor, options: any): SymbolicAdapter {
+    switch (vendor) {
+      case 'claude':
+        return new ClaudeAdapter(options);
+      case 'openai':
+        return new OpenAIAdapter(options);
+      case 'qwen':
+        return new QwenAdapter(options);
+      case 'gemini':
+        return new GeminiAdapter(options);
+      case 'deepseek':
+        return new DeepSeekAdapter(options);
+      case 'local':
+        return new LocalAdapter(options);
+      default:
+        throw new Error(`Unsupported vendor: ${vendor}`);
+    }
+  }
+  
+  /**
+   * Change the vendor
+   */
+  setVendor(vendor: ModelVendor) {
+    this.adapter = this.createAdapter(vendor, {
+      apiKey: this.adapter.getApiKey(),
+      endpoint: this.adapter.getEndpoint()
+    });
+  }
+  
+  /**
+   * Execute a thinking operation
+   */
+  async think(content?: string, options: { trace?: boolean; depth?: number } = {}): Promise<ThinkResult> {
+    this.telemetry.track('think');
+    return this.adapter.executeThink(content, options);
+  }
+  
+  /**
+   * Execute a reflection operation
+   */
+  async reflect(target: string, options: { depth?: number } = {}): Promise<ReflectResult> {
+    this.telemetry.track('reflect');
+    return this.adapter.executeReflect(target, options);
+  }
+  
+  /**
+   * Execute a fork operation
+   */
+  async fork(paths: string[], options: { weights?: number[] } = {}): Promise<ForkResult> {
+    this.telemetry.track('fork');
+    return this.adapter.executeFork(paths, options);
+  }
+  
+  /**
+   * Execute a collapse operation
+   */
+  async collapse(options: { trigger?: string; threshold?: number } = {}): Promise<CollapseResult> {
+    this.telemetry.track('collapse');
+    return this.adapter.executeCollapse(options);
+  }
+  
+  /**
+   * Execute an attention operation
+   */
+  async attention(focus: string, options: { weight?: number } = {}): Promise<AttentionResult> {
+    this.telemetry.track('attention');
+    return this.adapter.executeAttention(focus, options);
+  }
+  
+  /**
+   * Execute a tool operation
+   */
+  async tool(name: string, params?: Record<string, any>): Promise<ToolResult> {
+    this.telemetry.track('tool');
+    return this.adapter.executeTool(name, params);
+  }
+  
+  /**
+   * Execute a system operation
+   */
+  async system(directive: string): Promise<SystemResult> {
+    this.telemetry.track('system');
+    return this.adapter.executeSystem(directive);
+  }
+  
+  /**
+   * Translate symbolic operations between vendors
+   */
+  translate(content: string, sourceVendor: ModelVendor, targetVendor: ModelVendor): string {
+    this.telemetry.track('translate');
+    
+    // Create source adapter
+    const sourceAdapter = this.createAdapter(sourceVendor, {});
+    
+    // Create target adapter
+    const targetAdapter = this.createAdapter(targetVendor, {});
+    
+    // Parse source content
+    const operations = sourceAdapter.parseSymbolicOperations(content);
+    
+    // Translate to target content
+    return targetAdapter.generateSymbolicContent(operations);
+  }
+  
+  /**
+   * Detect symbolic residue in response
+   */
+  detectResidue(response: string, vendor?: ModelVendor): SymbolicResidue[] {
+    const actualVendor = vendor || this.adapter.getVendor();
+    
+    return SymbolicResidueDetector.detect(response, actualVendor);
+  }
+  
+  /**
+   * Clean symbolic residue from response
+   */
+  cleanResidue(response: string, vendor?: ModelVendor): string {
+    const actualVendor = vendor || this.adapter.getVendor();
+    
+    return SymbolicResidueDetector.clean(response, actualVendor);
+  }
+  
+  /**
+   * Get telemetry data
+   */
+  getTelemetry(): TelemetryData {
+    return this.telemetry.getData();
+  }
+}
+
+/**
+ * Abstract base class for vendor-specific adapters
+ */
+abstract class SymbolicAdapter {
+  protected apiKey?: string;
+  protected endpoint?: string;
+  
+  constructor(options: { apiKey?: string; endpoint?: string }) {
+    this.apiKey = options.apiKey;
+    this.endpoint = options.endpoint;
+  }
+  
+  abstract getVendor(): ModelVendor;
+  
+  getApiKey(): string | undefined {
+    return this.apiKey;
+  }
+  
+  getEndpoint(): string | undefined {
+    return this.endpoint;
+  }
+  
+  abstract executeThink(content?: string, options?: any): Promise<ThinkResult>;
+  abstract executeReflect(target: string, options?: any): Promise<ReflectResult>;
+  abstract executeFork(paths: string[], options?: any): Promise<ForkResult>;
+  abstract executeCollapse(options?: any): Promise<CollapseResult>;
+  abstract executeAttention(focus: string, options?: any): Promise<AttentionResult>;
+  abstract executeTool(name: string, params?: Record<string, any>): Promise<ToolResult>;
+  abstract executeSystem(directive: string): Promise<SystemResult>;
+  
+  abstract parseSymbolicOperations(content: string): SymbolicOperation[];
+  abstract generateSymbolicContent(operations: SymbolicOperation[]): string;
+}
+
+/**
+ * Claude-specific adapter
+ */
+class ClaudeAdapter extends SymbolicAdapter {
+  getVendor(): ModelVendor {
+    return 'claude';
+  }
+  
+  async executeThink(content?: string, options: { trace?: boolean; depth?: number } = {}): Promise<ThinkResult> {
+    // Implementation with Claude's <think> tags
+    const thinking = content || '';
+    const prompt = `<think>${thinking}</think>`;
+    
+    // Make API call to Claude
+    const response = await this.callApi(prompt);
+    
+    return {
+      thinking: this.extractThinking(response),
+      output: this.extractOutput(response)
+    };
+  }
+  
+  async executeReflect(target: string, options: { depth?: number } = {}): Promise<ReflectResult> {
+    // Implementation with Claude's <reflect> tags
+    const prompt = `<reflect>${target}</reflect>`;
+    
+    // Make API call to Claude
+    const response = await this.callApi(prompt);
+    
+    return {
+      reflection: this.extractReflection(response),
+      output: this.extractOutput(response)
+    };
+  }
+  
+  async executeFork(paths: string[], options: { weights?: number[] } = {}): Promise<ForkResult> {
+    // Emulated implementation for Claude
+    const pathPrompts = paths.map(path => `Path: ${path}`).join('\n\n');
+    const prompt = `Consider the following paths:\n\n${pathPrompts}\n\nExplore each path and return the results.`;
+    
+    // Make API call to Claude
+    const response = await this.callApi(prompt);
+    
+    // Parse response to extract results for each path
+    const results: Record<string, string> = {};
+    for (const path of paths) {
+      results[path] = this.extractPathResult(response, path);
+    }
+    
+    return {
+      paths: results,
+      selected: this.determineSelectedPath(response, paths)
+    };
+  }
+  
+  async executeCollapse(options: { trigger?: string; threshold?: number } = {}): Promise<CollapseResult> {
+    // Emulated implementation for Claude
+    const trigger = options.trigger || 'error';
+    const prompt = `Handle the following error scenario: ${trigger}`;
+    
+    // Make API call to Claude
+    const response = await this.callApi(prompt);
+    
+    return {
+      handled: true,
+      recovery: response
+    };
+  }
+  
+  async executeAttention(focus: string, options: { weight?: number } = {}): Promise<AttentionResult> {
+    // Emulated implementation for Claude
+    const weight = options.weight || 1.0;
+    const prompt = `Focus specifically on: ${focus}`;
+    
+    // Make API call to Claude
+    const response = await this.callApi(prompt);
+    
+    return {
+      focused: true,
+      result: response
+    };
+  }
+  
+  async executeTool(name: string, params?: Record<string, any>): Promise<ToolResult> {
+    // Implementation with Claude's <tool> tags
+    let paramsString = '';
+    if (params) {
+      paramsString = JSON.stringify(params);
+    }
+    
+    const prompt = `<tool>${name}(${paramsString})</tool>`;
+    
+    // Make API call to Claude
+    const response = await this.callApi(prompt);
+    
+    return {
+      name,
+      result: this.extractToolResult(response, name)
+    };
+  }
+  
+  async executeSystem(directive: string): Promise<SystemResult> {
+    // Implementation with Claude's <s> tags
+    const prompt = `<s>${directive}</s>`;
+    
+    // Make API call to Claude
+    const response = await this.callApi(prompt);
+    
+    return {
+      applied: true,
+      result: response
+    };
+  }
+  
+  parseSymbolicOperations(content: string): SymbolicOperation[] {
+    const operations: SymbolicOperation[] = [];
+    
+    // Parse <think> tags
+    const thinkMatches = content.match(/<think>([\s\S]*?)<\/think>/g);
+    if (thinkMatches) {
+      for (const match of thinkMatches) {
+        const thinkContent = match.replace(/<think>|<\/think>/g, '');
+        operations.push({
+          type: 'think',
+          content: thinkContent
+        });
+      }
+    }
+    
+    // Parse <reflect> tags
+    const reflectMatches = content.match(/<reflect>([\s\S]*?)<\/reflect>/g);
+    if (reflectMatches) {
+      for (const match of reflectMatches) {
+        const reflectContent = match.replace(/<reflect>|<\/reflect>/g, '');
+        operations.push({
+          type: 'reflect',
+          target: reflectContent
+        });
+      }
+    }
+    
+    // Parse <tool> tags
+    const toolMatches = content.match(/<tool>([\s\S]*?)<\/tool>/g);
+    if (toolMatches) {
+      for (const match of toolMatches) {
+        const toolContent = match.replace(/<tool>|<\/tool>/g, '');
+        const nameMatch = toolContent.match(/^(\w+)/);
+        if (nameMatch) {
+          const name = nameMatch[1];
+          const paramsMatch = toolContent.match(/\(([\s\S]*)\)/);
+          let params: Record<string, any> | undefined;
+          
+          if (paramsMatch) {
+            try {
+              params = JSON.parse(paramsMatch[1]);
+            } catch {
+              params = { raw: paramsMatch[1] };
+            }
+          }
+          
+          operations.push({
+            type: 'tool',
+            name,
+            params
+          });
+        }
+      }
+    }
+    
+    // Parse <s> tags
+    const systemMatches = content.match(/<s>([\s\S]*?)<\/s>/g);
+    if (systemMatches) {
+      for (const match of systemMatches) {
+        const systemContent = match.replace(/<s>|<\/s>/g, '');
+        operations.push({
+          type: 'system',
+          directive: systemContent
+        });
+      }
+    }
+    
+    return operations;
+  }
+  
+  generateSymbolicContent(operations: SymbolicOperation[]): string {
+    let content = '';
+    
+    for (const operation of operations) {
+      switch (operation.type) {
+        case 'think':
+          content += `<think>${operation.content || ''}</think>\n`;
+          break;
+        case 'reflect':
+          content += `<reflect>${operation.target}</reflect>\n`;
+          break;
+        case 'tool':
+          const paramsString = operation.params ? JSON.stringify(operation.params) : '';
+          content += `<tool>${operation.name}(${paramsString})</tool>\n`;
+          break;
+        case 'system':
+          content += `<s>${operation.directive}</s>\n`;
+          break;
+        case

meta-layer.md

@@ -0,0 +1,426 @@
+# Universal Symbolics: Meta-Runtime Architecture
+
+<p align="center">
+<img src="https://via.placeholder.com/800x200/0d1117/ffffff?text=Universal+Symbolics+Meta-Runtime" alt="Universal Symbolics Meta-Runtime"/>
+</p>
+
+## 1. Core Runtime Architecture
+
+The Universal Symbolics Meta-Runtime acts as a unified translation layer between various LLM symbolic grammars, allowing developers to use a consistent interface regardless of the underlying model vendor.
+
+```mermaid
+graph TD
+    A[Developer Interface] --> B[Universal Symbolics Runtime]
+    B --> C1[Claude Adapter]
+    B --> C2[OpenAI Adapter]
+    B --> C3[Qwen Adapter]
+    B --> C4[Gemini Adapter]
+    B --> C5[DeepSeek Adapter]
+    B --> C6[Local LLM Adapter]
+    
+    C1 --> D1[XML Tags]
+    C2 --> D2[Slash Commands]
+    C3 --> D3[Slash Commands]
+    C4 --> D4[System Prompts]
+    C5 --> D5[System Prompts]
+    C6 --> D6[Multiple Formats]
+    
+    B --> E[Telemetry System]
+    B --> F[Symbolics Registry]
+    
+    G[VSCode Extension] --> A
+    H[CLI Tool] --> A
+    I[REST API] --> A
+    J[SDK Libraries] --> A
+```
+
+## 2. Symbolic Grammar Equivalence Map
+
+The core of the Universal Symbolics Meta-Runtime is a comprehensive mapping between different symbolic grammar formats used by various LLM vendors:
+
+| Universal Format | Claude | OpenAI | Qwen | Gemini | DeepSeek | Local LLMs |
+|------------------|--------|--------|------|--------|----------|------------|
+| `.p/think{content}` | `<think>content</think>` | Tool choice parameter | `/think content` | System prompt | System prompt | Model-specific |
+| `.p/reflect{target}` | `<reflect>target</reflect>` | Chain-of-thought prompt | System prompt | System prompt | System prompt | Model-specific |
+| `.p/tool{name, params}` | `<tool>name(params)</tool>` | `/command` or Function call | Function call | Function call | Function call | Model-specific |
+| `.p/system{directive}` | `<s>directive</s>` | System message | `<<SYS>>directive` | System instruction | System prompt | Model-specific |
+| `.p/fork{paths}` | Simulated | Simulated | Simulated | Simulated | Simulated | Simulated |
+| `.p/attention{focus}` | Simulated | Simulated | Simulated | Simulated | Simulated | Simulated |
+| `.p/collapse{trigger}` | Simulated | Simulated | Simulated | Simulated | Simulated | Simulated |
+| `.p/uncertainty{level}` | Simulated | Simulated | Simulated | Simulated | Simulated | Simulated |
+
+## 3. Meta-Operation Types
+
+The Universal Symbolics Meta-Runtime supports several categories of symbolic operations:
+
+### 3.1 Native Operations
+
+These operations have direct equivalents in at least some vendor implementations:
+
+- **Thinking**: Explicit reasoning trace
+- **Tool Use**: Function/tool invocation  
+- **System**: System-level directives
+
+### 3.2 Simulated Operations
+
+These operations are emulated through prompt engineering when no native support exists:
+
+- **Reflection**: Self-examination of reasoning
+- **Fork**: Multiple reasoning paths
+- **Attention**: Focus control
+- **Collapse**: Error handling
+- **Uncertainty**: Confidence expression
+
+### 3.3 Extended Operations
+
+These operations extend the capabilities of the underlying models:
+
+- **Memory**: State persistence
+- **Attribution**: Source tracking
+- **Context**: Context window management
+- **Metacognition**: Higher-order reasoning
+
+## 4. Runtime Implementation
+
+The Universal Symbolics Meta-Runtime implements these symbolic operations through a layered architecture:
+
+### 4.1 Core Runtime Layer
+
+```typescript
+interface SymbolicRuntime {
+  // Native operations
+  think(content?: string): Promise<ThinkResult>;
+  tool(name: string, params?: Record<string, any>): Promise<ToolResult>;
+  system(directive: string): Promise<SystemResult>;
+  
+  // Simulated operations
+  reflect(target: string, depth?: number): Promise<ReflectResult>;
+  fork(paths: string[], weights?: number[]): Promise<ForkResult>;
+  attention(focus: string, weight?: number): Promise<AttentionResult>;
+  collapse(trigger?: string, threshold?: number): Promise<CollapseResult>;
+  uncertainty(level?: number, reason?: string): Promise<UncertaintyResult>;
+  
+  // Extended operations
+  memory(key: string, value?: string, operation?: string): Promise<MemoryResult>;
+  attribution(source: string, confidence?: number): Promise<AttributionResult>;
+  context(window: string, priority?: number): Promise<ContextResult>;
+  metacognition(level: number, target?: string): Promise<MetacognitionResult>;
+}
+```
+
+### 4.2 Vendor Adapter Layer
+
+```typescript
+interface VendorAdapter {
+  // Vendor identification
+  getVendor(): ModelVendor;
+  
+  // Native operation translation
+  translateThinking(content?: string): string;
+  translateToolUse(name: string, params?: Record<string, any>): string;
+  translateSystem(directive: string): string;
+  
+  // Simulated operation translation
+  translateReflection(target: string, depth?: number): string;
+  translateFork(paths: string[], weights?: number[]): string;
+  translateAttention(focus: string, weight?: number): string;
+  translateCollapse(trigger?: string, threshold?: number): string;
+  translateUncertainty(level?: number, reason?: string): string;
+  
+  // Extended operation translation
+  translateMemory(key: string, value?: string, operation?: string): string;
+  translateAttribution(source: string, confidence?: number): string;
+  translateContext(window: string, priority?: number): string;
+  translateMetacognition(level: number, target?: string): string;
+}
+```
+
+### 4.3 Symbolic Registry
+
+```typescript
+interface SymbolicRegistry {
+  // Mapping functions
+  getUniversalSymbol(vendorSymbol: string, vendor: ModelVendor): string;
+  getVendorSymbol(universalSymbol: string, vendor: ModelVendor): string;
+  
+  // Registration functions
+  registerSymbol(universalSymbol: string, vendorSymbol: string, vendor: ModelVendor): void;
+  unregisterSymbol(universalSymbol: string, vendor: ModelVendor): void;
+  
+  // Query functions
+  isSupported(universalSymbol: string, vendor: ModelVendor): boolean;
+  getSupportedSymbols(vendor: ModelVendor): string[];
+  getVendorCapabilities(vendor: ModelVendor): Record<string, boolean>;
+}
+```
+
+### 4.4 Telemetry System
+
+```typescript
+interface SymbolicTelemetry {
+  // Tracking functions
+  trackOperation(operation: string, vendor: ModelVendor, params?: any): void;
+  trackTransformation(source: ModelVendor, target: ModelVendor, success: boolean): void;
+  trackError(operation: string, vendor: ModelVendor, error: Error): void;
+  
+  // Reporting functions
+  getOperationStats(): Record<string, number>;
+  getVendorStats(): Record<string, number>;
+  getTransformationStats(): Record<string, Record<string, number>>;
+  getErrorStats(): Record<string, number>;
+  
+  // Configuration
+  enableTelemetry(enabled: boolean): void;
+  setAnonymizationLevel(level: 'none' | 'partial' | 'full'): void;
+  configureReporting(options: TelemetryOptions): void;
+}
+```
+
+## 5. Symbolic Grammar Translation
+
+The Universal Symbolics Meta-Runtime provides bidirectional translation between different symbolic grammars:
+
+### 5.1 Translation Process
+
+```mermaid
+flowchart TD
+    A[Universal Format] -->|Translate To Vendor| B[Vendor-Specific Format]
+    B -->|Translate To Universal| A
+    
+    C[Parse] --> A
+    B --> D[Generate]
+    
+    E[Developer Input] --> C
+    D --> F[LLM Input]
+    
+    G[LLM Output] --> C
+    A --> H[Developer Output]
+```
+
+### 5.2 Translation Examples
+
+**Universal to Claude:**
+```typescript
+// Universal Format
+const universalFormat = '.p/think{content: "Let me solve this step by step..."}';
+
+// Translated to Claude
+const claudeFormat = '<think>Let me solve this step by step...</think>';
+```
+
+**Claude to Universal:**
+```typescript
+// Claude Format
+const claudeFormat = '<tool>search({"query": "quantum computing"})</tool>';
+
+// Translated to Universal
+const universalFormat = '.p/tool{name: "search", params: {"query": "quantum computing"}}';
+```
+
+**Universal to OpenAI:**
+```typescript
+// Universal Format
+const universalFormat = '.p/system{directive: "You are a helpful assistant."}';
+
+// Translated to OpenAI API
+const openaiFormat = {
+  messages: [
+    {
+      role: "system",
+      content: "You are a helpful assistant."
+    }
+  ]
+};
+```
+
+## 6. Developer Tools Interface
+
+The Universal Symbolics Meta-Runtime provides several developer-facing interfaces:
+
+### 6.1 VSCode Extension
+
+```json
+{
+  "name": "universal-symbolics-vscode",
+  "displayName": "Universal Symbolics",
+  "version": "1.0.0",
+  "engines": {
+    "vscode": "^1.60.0"
+  },
+  "categories": [
+    "Programming Languages",
+    "Snippets",
+    "Other"
+  ],
+  "activationEvents": [
+    "onLanguage:markdown",
+    "onLanguage:json",
+    "onLanguage:typescript",
+    "onLanguage:python"
+  ],
+  "main": "./dist/extension.js",
+  "contributes": {
+    "commands": [
+      {
+        "command": "universal-symbolics.translateSymbols",
+        "title": "Translate Symbols"
+      },
+      {
+        "command": "universal-symbolics.previewResponse",
+        "title": "Preview Symbolic Response"
+      }
+    ],
+    "languages": [
+      {
+        "id": "symbolic",
+        "extensions": [".sym", ".symbolic"],
+        "aliases": ["Symbolic", "symbolic"]
+      }
+    ],
+    "grammars": [
+      {
+        "language": "symbolic",
+        "scopeName": "source.symbolic",
+        "path": "./syntaxes/symbolic.tmLanguage.json"
+      }
+    ]
+  }
+}
+```
+
+### 6.2 CLI Tool
+
+```bash
+# Installation
+npm install -g universal-symbolics-cli
+
+# Usage examples
+usym translate --source claude --target openai --file prompt.txt
+usym generate --vendor claude --symbol think --content "Let me solve this step by step..."
+usym validate --file prompt.sym
+usym test --vendor all --symbol think
+```
+
+### 6.3 REST API
+
+```http
+POST /api/v1/transform
+Host: api.universal-symbolics.io
+Content-Type: application/json
+Authorization: Bearer YOUR_API_KEY
+
+{
+  "source": "claude",
+  "target": "openai",
+  "content": "<think>Let me solve this step by step...</think>"
+}
+```
+
+```http
+POST /api/v1/execute
+Host: api.universal-symbolics.io
+Content-Type: application/json
+Authorization: Bearer YOUR_API_KEY
+
+{
+  "vendor": "claude",
+  "model": "claude-3-opus-20240229",
+  "symbols": {
+    "think": {
+      "content": "Let me analyze this problem..."
+    },
+    "tool": {
+      "name": "search",
+      "params": {
+        "query": "quantum computing"
+      }
+    }
+  },
+  "prompt": "Explain quantum computing."
+}
+```
+
+### 6.4 SDK Libraries
+
+```typescript
+// TypeScript/JavaScript
+import { UniversalSymbolics } from 'universal-symbolics';
+
+const symbolics = new UniversalSymbolics({
+  defaultVendor: 'claude',
+  apiKey: process.env.CLAUDE_API_KEY
+});
+
+const result = await symbolics.think('Let me solve this step by step...');
+console.log(result.thinking);
+console.log(result.output);
+```
+
+```python
+# Python
+from universal_symbolics import SymbolicsClient
+
+client = SymbolicsClient(
+    default_vendor="claude",
+    api_key=os.environ.get("CLAUDE_API_KEY")
+)
+
+result = client.think("Let me solve this step by step...")
+print(result.thinking)
+print(result.output)
+```
+
+## 7. Implementation Roadmap
+
+The Universal Symbolics Meta-Runtime will be implemented in phases:
+
+### Phase 1: Core Runtime Foundation
+
+1. Define universal symbolic schema
+2. Implement core runtime layer
+3. Create adapters for Claude and OpenAI
+4. Develop basic VSCode extension
+5. Publish initial NPM package
+
+### Phase 2: Expanded Vendor Support
+
+1. Add adapters for Qwen, Gemini, and DeepSeek
+2. Implement simulated operations
+3. Create Python SDK
+4. Develop CLI tool
+5. Launch REST API service
+
+### Phase 3: Extended Capabilities
+
+1. Implement extended operations
+2. Add support for local LLMs
+3. Develop telemetry system
+4. Create symbolic playground
+5. Publish additional language SDKs
+
+### Phase 4: Enterprise Integration
+
+1. Implement enterprise features
+2. Develop compliance tools
+3. Create integration adapters for popular frameworks
+4. Launch symbolic marketplace
+5. Establish standards organization
+
+## 8. Meta-Runtime Architecture Principles
+
+The Universal Symbolics Meta-Runtime is built on several key architectural principles:
+
+1. **Universal Interface**: Provide a consistent interface across all LLM vendors
+2. **Bidirectional Translation**: Support translation between any vendor formats
+3. **Extensibility**: Allow for new vendors and symbolic operations to be added
+4. **Compatibility**: Work with existing tools and frameworks
+5. **Telemetry**: Collect anonymous usage data to guide development
+6. **Standards**: Establish standards for symbolic operations
+7. **Developer Experience**: Prioritize ease of use for developers
+8. **Performance**: Minimize overhead and maximize throughput
+
+---
+
+<p align="center">
+<strong>Universal Symbolics</strong> | Unifying the symbolic layer across AI models
+</p>

operations.ts

@@ -0,0 +1,244 @@
+/**
+ * universal-symbolics
+ * 
+ * A unified runtime layer for symbolic operations across all frontier LLMs.
+ * This implementation provides developer-friendly abstractions over vendor-specific
+ * symbolic grammars (XML tags, slash commands, function calls, etc.)
+ */
+
+// Core types for universal symbolic operations
+export type SymbolicOperation = 
+  | ThinkOperation
+  | ReflectOperation
+  | ForkOperation
+  | CollapseOperation
+  | AttentionOperation
+  | ToolOperation
+  | SystemOperation;
+
+// Symbolic operation interfaces
+export interface ThinkOperation {
+  type: 'think';
+  content?: string;
+  trace?: boolean;
+  depth?: number;
+}
+
+export interface ReflectOperation {
+  type: 'reflect';
+  target: string;
+  depth?: number;
+}
+
+export interface ForkOperation {
+  type: 'fork';
+  paths: string[];
+  weights?: number[];
+}
+
+export interface CollapseOperation {
+  type: 'collapse';
+  trigger?: string;
+  threshold?: number;
+}
+
+export interface AttentionOperation {
+  type: 'attention';
+  focus: string;
+  weight?: number;
+}
+
+export interface ToolOperation {
+  type: 'tool';
+  name: string;
+  params?: Record<string, any>;
+}
+
+export interface SystemOperation {
+  type: 'system';
+  directive: string;
+}
+
+// Vendor-specific symbolic runtime implementations
+export type ModelVendor = 'claude' | 'openai' | 'qwen' | 'gemini' | 'deepseek' | 'local';
+
+/**
+ * Universal Symbolics Client
+ * Provides a unified interface for symbolic operations across different model vendors
+ */
+export class UniversalSymbolics {
+  private vendor: ModelVendor;
+  private adapter: SymbolicAdapter;
+  private telemetry: SymbolicTelemetry;
+  
+  constructor(options: {
+    vendor?: ModelVendor;
+    apiKey?: string;
+    endpoint?: string;
+    enableTelemetry?: boolean;
+  }) {
+    this.vendor = options.vendor || 'claude';
+    this.adapter = SymbolicAdapterFactory.create(this.vendor, {
+      apiKey: options.apiKey,
+      endpoint: options.endpoint
+    });
+    this.telemetry = new SymbolicTelemetry({
+      enabled: options.enableTelemetry || false
+    });
+  }
+  
+  /**
+   * Execute a thinking operation
+   * @param content Optional thinking content
+   */
+  async think(content?: string): Promise<ThinkResult> {
+    const operation: ThinkOperation = {
+      type: 'think',
+      content,
+      trace: true
+    };
+    
+    this.telemetry.trackOperation('think', this.vendor);
+    return this.adapter.executeOperation(operation) as Promise<ThinkResult>;
+  }
+  
+  /**
+   * Execute a reflection operation
+   * @param target What to reflect on
+   * @param depth Optional reflection depth
+   */
+  async reflect(target: string, depth?: number): Promise<ReflectResult> {
+    const operation: ReflectOperation = {
+      type: 'reflect',
+      target,
+      depth
+    };
+    
+    this.telemetry.trackOperation('reflect', this.vendor);
+    return this.adapter.executeOperation(operation) as Promise<ReflectResult>;
+  }
+  
+  /**
+   * Execute a forking operation
+   * @param paths Different paths to explore
+   * @param weights Optional weights for each path
+   */
+  async fork(paths: string[], weights?: number[]): Promise<ForkResult> {
+    const operation: ForkOperation = {
+      type: 'fork',
+      paths,
+      weights
+    };
+    
+    this.telemetry.trackOperation('fork', this.vendor);
+    return this.adapter.executeOperation(operation) as Promise<ForkResult>;
+  }
+  
+  /**
+   * Execute a collapse operation
+   * @param trigger Optional collapse trigger
+   * @param threshold Optional collapse threshold
+   */
+  async collapse(trigger?: string, threshold?: number): Promise<CollapseResult> {
+    const operation: CollapseOperation = {
+      type: 'collapse',
+      trigger,
+      threshold
+    };
+    
+    this.telemetry.trackOperation('collapse', this.vendor);
+    return this.adapter.executeOperation(operation) as Promise<CollapseResult>;
+  }
+  
+  /**
+   * Execute an attention operation
+   * @param focus What to focus attention on
+   * @param weight Optional attention weight
+   */
+  async attention(focus: string, weight?: number): Promise<AttentionResult> {
+    const operation: AttentionOperation = {
+      type: 'attention',
+      focus,
+      weight
+    };
+    
+    this.telemetry.trackOperation('attention', this.vendor);
+    return this.adapter.executeOperation(operation) as Promise<AttentionResult>;
+  }
+  
+  /**
+   * Execute a tool operation
+   * @param name Tool name
+   * @param params Optional tool parameters
+   */
+  async tool(name: string, params?: Record<string, any>): Promise<ToolResult> {
+    const operation: ToolOperation = {
+      type: 'tool',
+      name,
+      params
+    };
+    
+    this.telemetry.trackOperation('tool', this.vendor);
+    return this.adapter.executeOperation(operation) as Promise<ToolResult>;
+  }
+  
+  /**
+   * Execute a system operation
+   * @param directive System directive
+   */
+  async system(directive: string): Promise<SystemResult> {
+    const operation: SystemOperation = {
+      type: 'system',
+      directive
+    };
+    
+    this.telemetry.trackOperation('system', this.vendor);
+    return this.adapter.executeOperation(operation) as Promise<SystemResult>;
+  }
+  
+  /**
+   * Change the vendor for subsequent operations
+   * @param vendor New vendor
+   */
+  setVendor(vendor: ModelVendor) {
+    this.vendor = vendor;
+    this.adapter = SymbolicAdapterFactory.create(this.vendor, {
+      apiKey: this.adapter.getApiKey(),
+      endpoint: this.adapter.getEndpoint()
+    });
+  }
+  
+  /**
+   * Get telemetry data
+   */
+  getTelemetry() {
+    return this.telemetry.getData();
+  }
+}
+
+/**
+ * Factory for creating vendor-specific symbolic adapters
+ */
+class SymbolicAdapterFactory {
+  static create(vendor: ModelVendor, options: { apiKey?: string; endpoint?: string }): SymbolicAdapter {
+    switch (vendor) {
+      case 'claude':
+        return new ClaudeSymbolicAdapter(options);
+      case 'openai':
+        return new OpenAISymbolicAdapter(options);
+      case 'qwen':
+        return new QwenSymbolicAdapter(options);
+      case 'gemini':
+        return new GeminiSymbolicAdapter(options);
+      case 'deepseek':
+        return new DeepSeekSymbolicAdapter(options);
+      case 'local':
+        return new LocalSymbolicAdapter(options);
+      default:
+        throw new Error(`Unsupported vendor: ${vendor}`);
+    }
+  }
+}
+
+/**
+ * Abstract base class for vendor-

overview.md

@@ -0,0 +1,447 @@
+# Universal Symbolics Repository
+
+*Unified Runtime Layer for AI Symbolic Interactions*
+
+<p align="center">
+<img src="https://via.placeholder.com/800x200/0d1117/ffffff?text=universal-symbolics" alt="Universal Symbolics Logo"/>
+</p>
+
+## 🌐 Overview
+
+`universal-symbolics` provides a unified interface for developer operations across frontier AI models. This repository standardizes the disparate symbolic grammars used by different AI vendors (Claude, GPT, Qwen, Gemini, DeepSeek, etc.) into a cohesive, developer-friendly framework.
+
+## 🔄 Core Components
+
+### 1. Symbolic Grammar Mapping
+
+```yaml
+# unified-symbolic-layer.yml
+mappings:
+  thinking:
+    claude: "<think>...</think>"
+    qwen: "/think"
+    anthropic_api: {"thinking": true}
+    openai_api: {"tool_choice": "auto"}
+    gemini: "{{thinking}}"
+  
+  tool_invocation:
+    claude: "<tool>...</tool>"
+    openai: "/command"
+    qwen: "#tool()"
+    
+  system_directive:
+    claude: "<system>...</system>"
+    openai: "<|system|>"
+    qwen: "<<SYS>>"
+    gemini: "system:"
+    
+  metadata_tags:
+    claude: "<metadata>...</metadata>"
+    openai: "/meta"
+    
+  visual_processing:
+    openai: "/create image"
+    claude: "<vision>...</vision>"
+    gemini: "analyze_image()"
+```
+
+### 2. Runtime Adapter Interface
+
+```typescript
+// universal-symbols.ts
+export interface SymbolicRuntime {
+  // Core operations
+  think(content?: string): Promise<ThinkingResult>;
+  tool(name: string, params: Record<string, any>): Promise<ToolResult>;
+  system(directive: string): Promise<void>;
+  
+  // Vendor-specific extensions
+  vendor: {
+    claude?: ClaudeSymbolicExtensions;
+    openai?: OpenAISymbolicExtensions;
+    qwen?: QwenSymbolicExtensions;
+    // etc.
+  };
+  
+  // Unified operations
+  symbolic: {
+    recurse(depth: number): Promise<void>;
+    reflect(target: string): Promise<ReflectionResult>;
+    fork(paths: string[]): Promise<ForkResult>;
+    map(source: any, target: any): Promise<MappingResult>;
+    collapse(state: any): Promise<void>;
+  };
+}
+```
+
+### 3. Symbolic Compatibility Layer
+
+```javascript
+// symbolic-compat.js
+class SymbolicAdapter {
+  constructor(model, vendor) {
+    this.model = model;
+    this.vendor = vendor;
+    this.symbolMap = SymbolRegistry.getMap(vendor);
+  }
+  
+  // Transform universal symbols to vendor-specific syntax
+  transform(universalSymbol, content) {
+    const vendorSymbol = this.symbolMap[universalSymbol];
+    if (!vendorSymbol) throw new Error(`Symbol ${universalSymbol} not supported by ${this.vendor}`);
+    
+    return this.applyTransform(vendorSymbol, content);
+  }
+  
+  // Apply vendor-specific transformations
+  applyTransform(symbol, content) {
+    switch(this.vendor) {
+      case 'claude':
+        return `<${symbol}>${content}</${symbol}>`;
+      case 'qwen':
+        return `/${symbol} ${content}`;
+      case 'openai':
+        return `/${symbol}(${content})`;
+      // etc.
+    }
+  }
+}
+```
+
+### 4. Symbolic Registry (Glyph/Tag/Slash/Operator Dictionary)
+
+```json
+{
+  "symbolic_registry": {
+    "thinking": {
+      "glyphs": ["🧠", "💭", "🤔"],
+      "tags": ["think", "reasoning", "thought"],
+      "slashes": ["/think", "/reasoning", "/thought"],
+      "operators": ["->", "=>", "⇒"]
+    },
+    "reflection": {
+      "glyphs": ["🔄", "🪞", "👁️"],
+      "tags": ["reflect", "introspect", "mirror"],
+      "slashes": ["/reflect", "/introspect", "/mirror"],
+      "operators": ["↻", "⟲", "⇌"]
+    },
+    "recursion": {
+      "glyphs": ["🔁", "♾️", "🔄"],
+      "tags": ["recurse", "loop", "cycle"],
+      "slashes": ["/recurse", "/loop", "/cycle"],
+      "operators": ["↺", "∞", "⥁"]
+    },
+    "forking": {
+      "glyphs": ["🌿", "🔀", "⑂"],
+      "tags": ["fork", "branch", "split"],
+      "slashes": ["/fork", "/branch", "/split"],
+      "operators": ["⎇", "⫝̸", "⊢"]
+    },
+    "collapse": {
+      "glyphs": ["📉", "🔍", "⚱️"],
+      "tags": ["collapse", "reduce", "simplify"],
+      "slashes": ["/collapse", "/reduce", "/simplify"],
+      "operators": ["⊃", "⊇", "⊊"]
+    }
+  }
+}
+```
+
+## 🧰 Developer Tools
+
+### VSCode Extension
+
+```json
+{
+  "name": "universal-symbolics-vscode",
+  "description": "VSCode extension for Universal Symbolics",
+  "features": [
+    "Syntax highlighting for symbolic operations",
+    "Autocompletion for model-specific symbolic grammars",
+    "Inline transformation preview",
+    "Symbolic operation debugging",
+    "One-click transformation between vendor syntaxes"
+  ]
+}
+```
+
+### CLI Tool
+
+```bash
+# Installation
+npm install -g universal-symbolics
+
+# Usage
+usym transform --source claude --target openai --input "file.txt"
+usym validate --syntax "content with symbols"
+usym generate --template thinking --vendor all
+```
+
+### Symbolic Playground
+
+An interactive web application for testing and experimenting with symbolic operations across different AI models:
+
+- Live transformation preview
+- Syntax validation
+- Performance benchmarking
+- Compatibility checking
+- Template gallery
+
+## 📊 Telemetry & Observability
+
+```python
+# telemetry.py
+class SymbolicTelemetry:
+    def __init__(self, api_key=None):
+        self.api_key = api_key
+        self.metrics = {
+            "symbol_usage": Counter(),
+            "vendor_distribution": Counter(),
+            "transformation_success": Counter(),
+            "transformation_failure": Counter(),
+            "latency": Histogram(),
+        }
+    
+    def track_symbol_usage(self, symbol, vendor, success=True):
+        self.metrics["symbol_usage"][symbol] += 1
+        self.metrics["vendor_distribution"][vendor] += 1
+        if success:
+            self.metrics["transformation_success"][f"{symbol}:{vendor}"] += 1
+        else:
+            self.metrics["transformation_failure"][f"{symbol}:{vendor}"] += 1
+    
+    def track_latency(self, operation, duration_ms):
+        self.metrics["latency"].add(operation, duration_ms)
+    
+    def flush(self):
+        # Send metrics to telemetry service
+        if self.api_key:
+            requests.post(
+                "https://api.universal-symbolics.io/telemetry",
+                headers={"Authorization": f"Bearer {self.api_key}"},
+                json=self.metrics
+            )
+```
+
+## 🌉 Integration Examples
+
+### Node.js
+
+```javascript
+const { UniversalSymbolics } = require('universal-symbolics');
+
+// Initialize with your preferred model
+const symbolics = new UniversalSymbolics({ 
+  defaultVendor: 'claude',
+  fallbackVendor: 'openai' 
+});
+
+// Use unified symbols regardless of underlying model
+async function generateWithThinking() {
+  const result = await symbolics.think('Analyze the impact of quantum computing on cryptography');
+  console.log(result.thinking); // Access thinking process
+  console.log(result.output);   // Access final output
+}
+```
+
+### Python
+
+```python
+from universal_symbolics import SymbolicClient
+
+# Initialize client
+client = SymbolicClient(
+    api_key="your_api_key",
+    default_vendor="qwen",
+    enable_telemetry=True
+)
+
+# Use the unified interface
+response = client.submit(
+    prompt="Explain the significance of symbolic operations in AI",
+    symbols={
+        "think": True,
+        "reflect": "prompt structure",
+        "fork": ["technical", "simplified"]
+    }
+)
+
+# Access structured response
+print(response.thinking)
+print(response.reflections)
+print(response.forks["technical"])
+print(response.forks["simplified"])
+```
+
+### REST API
+
+```http
+POST https://api.universal-symbolics.io/v1/generate
+Content-Type: application/json
+Authorization: Bearer your_api_key
+
+{
+  "prompt": "Write a function that calculates prime numbers",
+  "symbols": {
+    "think": true,
+    "tool": {
+      "name": "code_interpreter",
+      "language": "python"
+    }
+  },
+  "vendor_preference": ["claude", "openai", "qwen"],
+  "response_format": {
+    "include_symbol_traces": true,
+    "structured": true
+  }
+}
+```
+
+## 📖 Documentation
+
+### Symbol Categories
+
+1. **Cognitive Process Symbols**
+   - Thinking
+   - Reflection
+   - Planning
+   - Analysis
+
+2. **Execution Control Symbols**
+   - Recursion
+   - Forking
+   - Collapse
+   - Termination
+
+3. **Tool Invocation Symbols**
+   - Code Execution
+   - Information Retrieval
+   - Visual Generation
+   - Data Analysis
+
+4. **Structural Symbols**
+   - System Directives
+   - User Context
+   - Memory Management
+   - Meta-Instructions
+
+### Vendor-Specific Implementation Details
+
+- **Claude**: XML-based tag system with explicit opening and closing tags
+- **OpenAI**: Slash command system with function-like syntax
+- **Qwen**: Mixed system with slash commands and thinking directives
+- **Gemini**: Template-based approach with specialized markers
+- **DeepSeek**: Function-oriented symbolic interface
+
+## 🔍 Advanced Features
+
+### Symbolic Residue Detection
+
+```python
+def detect_symbolic_residue(response, model_type):
+    """Detect unresolved or partially processed symbolic operations"""
+    patterns = RESIDUE_PATTERNS[model_type]
+    residue = []
+    
+    for pattern_name, regex in patterns.items():
+        matches = re.findall(regex, response)
+        if matches:
+            residue.append({
+                "type": pattern_name,
+                "matches": matches,
+                "positions": [m.span() for m in re.finditer(regex, response)]
+            })
+    
+    return residue
+```
+
+### Cross-Model Translation
+
+```typescript
+interface TranslationOptions {
+  preserveStructure?: boolean;
+  adaptToCapabilities?: boolean;
+  includeResidueHandling?: boolean;
+}
+
+function translateSymbolicOperations(
+  source: string,
+  sourceModel: ModelType,
+  targetModel: ModelType,
+  options: TranslationOptions = {}
+): TranslationResult {
+  // Extract symbolic operations from source
+  const operations = extractSymbolicOperations(source, sourceModel);
+  
+  // Map to universal representation
+  const universalOps = operations.map(op => mapToUniversal(op, sourceModel));
+  
+  // Transform to target model format
+  const targetOps = universalOps.map(op => {
+    const targetOp = mapToTarget(op, targetModel);
+    
+    // Handle capabilities not present in target model
+    if (options.adaptToCapabilities && !targetOp) {
+      return createCapabilityShim(op, targetModel);
+    }
+    
+    return targetOp;
+  });
+  
+  // Reconstruct content with new symbolic operations
+  return reconstructContent(source, operations, targetOps, options);
+}
+```
+
+## 🔄 Adoption Strategy
+
+### Phase 1: Developer Tools & Libraries
+- Release core library for major programming languages
+- VSCode extension for symbolic authoring
+- Documentation and examples for common use cases
+
+### Phase 2: Enterprise Integration
+- API Gateway for transparent symbolic translation
+- Monitoring and observability tools
+- Compliance and governance frameworks
+
+### Phase 3: Standards Body Formation
+- Establish formal specification for symbolic operations
+- Engage major AI providers in standardization efforts
+- Develop certification program for symbolic compatibility
+
+### Phase 4: Ecosystem Expansion
+- Marketplace for custom symbolic operations
+- Community-contributed symbolic templates
+- Educational resources and certification
+
+## 🌱 Getting Started
+
+```bash
+# Clone the repository
+git clone https://github.com/universal-ai/universal-symbolics.git
+
+# Install dependencies
+cd universal-symbolics
+npm install
+
+# Run the demo
+npm run demo
+
+# Start the development server for the playground
+npm run dev
+```
+
+## 🤝 Contributing
+
+We welcome contributions from the community! Please see [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines on how to participate in the project.
+
+## 📜 License
+
+This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
+
+---
+
+<p align="center">
+<strong>Universal Symbolics</strong> | Unifying the symbolic layer across AI models
+</p>

registry.ts

@@ -0,0 +1,932 @@
+/**
+ * universal-symbolics-registry.ts
+ * 
+ * Core registry for unified symbolic operations across all LLM vendors.
+ * This registry enables transformation between different symbolic grammars.
+ */
+
+// Import core schema definitions
+import {
+  ModelVendor,
+  SymbolicPrimitive,
+  GrammarStyle,
+  SymbolicOperation,
+  VendorImplementation,
+  SYMBOLIC_RUNTIME_SCHEMA
+} from './universal-symbolics-runtime';
+
+/**
+ * Symbol Mapping Record Types
+ */
+export interface GlyphMapping {
+  glyph: string;
+  primitive: SymbolicPrimitive;
+  description: string;
+}
+
+export interface TagMapping {
+  tag: string;
+  primitive: SymbolicPrimitive;
+  vendor: ModelVendor;
+  description: string;
+}
+
+export interface SlashMapping {
+  slash: string;
+  primitive: SymbolicPrimitive;
+  vendor: ModelVendor;
+  description: string;
+}
+
+export interface DotMapping {
+  dot: string;
+  primitive: SymbolicPrimitive;
+  description: string;
+}
+
+export interface OperatorMapping {
+  operator: string;
+  primitive: SymbolicPrimitive;
+  description: string;
+}
+
+/**
+ * Universal Symbolics Registry
+ * 
+ * Maintains mappings between different symbolic representations
+ * and provides transformation functions for converting between them.
+ */
+export class SymbolicsRegistry {
+  // Mapping collections
+  private glyphMappings: Map<string, GlyphMapping>;
+  private tagMappings: Map<string, TagMapping>;
+  private slashMappings: Map<string, SlashMapping>;
+  private dotMappings: Map<string, DotMapping>;
+  private operatorMappings: Map<string, OperatorMapping>;
+  
+  // Vendor capabilities
+  private vendorCapabilities: Map<ModelVendor, Set<SymbolicPrimitive>>;
+  
+  // Custom extensions
+  private customSymbols: Map<string, SymbolicOperation>;
+  
+  constructor() {
+    // Initialize maps
+    this.glyphMappings = new Map();
+    this.tagMappings = new Map();
+    this.slashMappings = new Map();
+    this.dotMappings = new Map();
+    this.operatorMappings = new Map();
+    this.vendorCapabilities = new Map();
+    this.customSymbols = new Map();
+    
+    // Initialize registry with built-in mappings
+    this.initializeRegistry();
+  }
+  
+  /**
+   * Initialize the registry with all built-in mappings
+   */
+  private initializeRegistry(): void {
+    // Initialize vendor capabilities
+    for (const vendor of Object.values(ModelVendor)) {
+      this.vendorCapabilities.set(vendor, new Set());
+    }
+    
+    // Process schema to populate maps
+    for (const operation of SYMBOLIC_RUNTIME_SCHEMA) {
+      // Register glyph mappings
+      if (operation.glyphs) {
+        for (const glyph of operation.glyphs) {
+          this.registerGlyph(glyph, operation.type, `Glyph for ${operation.name}`);
+        }
+      }
+      
+      // Register tag mappings
+      if (operation.tags) {
+        for (const tag of operation.tags) {
+          for (const impl of operation.vendorImplementations) {
+            if (impl.style === GrammarStyle.XML_TAGS) {
+              this.registerTag(tag, operation.type, impl.vendor, `XML tag for ${operation.name}`);
+            }
+          }
+        }
+      }
+      
+      // Register slash mappings
+      if (operation.slashes) {
+        for (const slash of operation.slashes) {
+          for (const impl of operation.vendorImplementations) {
+            if (impl.style === GrammarStyle.SLASH_COMMANDS) {
+              this.registerSlash(slash, operation.type, impl.vendor, `Slash command for ${operation.name}`);
+            }
+          }
+        }
+      }
+      
+      // Register dot mappings
+      const dotCommand = operation.universalSyntax.split('{')[0];
+      this.registerDot(dotCommand, operation.type, `Universal syntax for ${operation.name}`);
+      
+      // Register vendor capabilities
+      for (const impl of operation.vendorImplementations) {
+        const capabilities = this.vendorCapabilities.get(impl.vendor);
+        if (capabilities) {
+          capabilities.add(operation.type);
+        }
+      }
+    }
+  }
+  
+  /**
+   * Register a glyph mapping
+   */
+  public registerGlyph(glyph: string, primitive: SymbolicPrimitive, description: string): void {
+    this.glyphMappings.set(glyph, { glyph, primitive, description });
+  }
+  
+  /**
+   * Register a tag mapping
+   */
+  public registerTag(tag: string, primitive: SymbolicPrimitive, vendor: ModelVendor, description: string): void {
+    this.tagMappings.set(`${vendor}:${tag}`, { tag, primitive, vendor, description });
+  }
+  
+  /**
+   * Register a slash mapping
+   */
+  public registerSlash(slash: string, primitive: SymbolicPrimitive, vendor: ModelVendor, description: string): void {
+    this.slashMappings.set(`${vendor}:${slash}`, { slash, primitive, vendor, description });
+  }
+  
+  /**
+   * Register a dot mapping
+   */
+  public registerDot(dot: string, primitive: SymbolicPrimitive, description: string): void {
+    this.dotMappings.set(dot, { dot, primitive, description });
+  }
+  
+  /**
+   * Register an operator mapping
+   */
+  public registerOperator(operator: string, primitive: SymbolicPrimitive, description: string): void {
+    this.operatorMappings.set(operator, { operator, primitive, description });
+  }
+  
+  /**
+   * Register a custom symbolic operation
+   */
+  public registerCustomSymbol(operation: SymbolicOperation): void {
+    this.customSymbols.set(operation.name, operation);
+  }
+  
+  /**
+   * Get all glyph mappings
+   */
+  public getAllGlyphMappings(): GlyphMapping[] {
+    return Array.from(this.glyphMappings.values());
+  }
+  
+  /**
+   * Get all tag mappings
+   */
+  public getAllTagMappings(): TagMapping[] {
+    return Array.from(this.tagMappings.values());
+  }
+  
+  /**
+   * Get all slash mappings
+   */
+  public getAllSlashMappings(): SlashMapping[] {
+    return Array.from(this.slashMappings.values());
+  }
+  
+  /**
+   * Get all dot mappings
+   */
+  public getAllDotMappings(): DotMapping[] {
+    return Array.from(this.dotMappings.values());
+  }
+  
+  /**
+   * Get all operator mappings
+   */
+  public getAllOperatorMappings(): OperatorMapping[] {
+    return Array.from(this.operatorMappings.values());
+  }
+  
+  /**
+   * Get symbolic primitive by glyph
+   */
+  public getPrimitiveByGlyph(glyph: string): SymbolicPrimitive | undefined {
+    const mapping = this.glyphMappings.get(glyph);
+    return mapping?.primitive;
+  }
+  
+  /**
+   * Get symbolic primitive by tag
+   */
+  public getPrimitiveByTag(tag: string, vendor: ModelVendor): SymbolicPrimitive | undefined {
+    const mapping = this.tagMappings.get(`${vendor}:${tag}`);
+    return mapping?.primitive;
+  }
+  
+  /**
+   * Get symbolic primitive by slash command
+   */
+  public getPrimitiveBySlash(slash: string, vendor: ModelVendor): SymbolicPrimitive | undefined {
+    const mapping = this.slashMappings.get(`${vendor}:${slash}`);
+    return mapping?.primitive;
+  }
+  
+  /**
+   * Get symbolic primitive by dot command
+   */
+  public getPrimitiveByDot(dot: string): SymbolicPrimitive | undefined {
+    const mapping = this.dotMappings.get(dot);
+    return mapping?.primitive;
+  }
+  
+  /**
+   * Get symbolic primitive by operator
+   */
+  public getPrimitiveByOperator(operator: string): SymbolicPrimitive | undefined {
+    const mapping = this.operatorMappings.get(operator);
+    return mapping?.primitive;
+  }
+  
+  /**
+   * Get symbolic operation by primitive
+   */
+  public getOperationByPrimitive(primitive: SymbolicPrimitive): SymbolicOperation | undefined {
+    // Check built-in operations
+    const builtIn = SYMBOLIC_RUNTIME_SCHEMA.find(op => op.type === primitive);
+    if (builtIn) return builtIn;
+    
+    // Check custom operations
+    for (const operation of this.customSymbols.values()) {
+      if (operation.type === primitive) return operation;
+    }
+    
+    return undefined;
+  }
+  
+  /**
+   * Get vendor implementation for a primitive
+   */
+  public getVendorImplementation(primitive: SymbolicPrimitive, vendor: ModelVendor): VendorImplementation | undefined {
+    const operation = this.getOperationByPrimitive(primitive);
+    if (!operation) return undefined;
+    
+    return operation.vendorImplementations.find(impl => impl.vendor === vendor);
+  }
+  
+  /**
+   * Check if a vendor supports a primitive
+   */
+  public vendorSupports(vendor: ModelVendor, primitive: SymbolicPrimitive): boolean {
+    const capabilities = this.vendorCapabilities.get(vendor);
+    if (!capabilities) return false;
+    
+    return capabilities.has(primitive);
+  }
+  
+  /**
+   * Get all primitives supported by a vendor
+   */
+  public getVendorSupportedPrimitives(vendor: ModelVendor): SymbolicPrimitive[] {
+    const capabilities = this.vendorCapabilities.get(vendor);
+    if (!capabilities) return [];
+    
+    return Array.from(capabilities);
+  }
+  
+  /**
+   * Get support level for a primitive across all vendors
+   */
+  public getPrimitiveSupportMap(primitive: SymbolicPrimitive): Record<ModelVendor, boolean> {
+    const result: Record<ModelVendor, boolean> = {} as Record<ModelVendor, boolean>;
+    
+    for (const vendor of Object.values(ModelVendor)) {
+      result[vendor] = this.vendorSupports(vendor, primitive);
+    }
+    
+    return result;
+  }
+  
+  /**
+   * Transform universal syntax to vendor-specific syntax
+   */
+  public transformToVendor(universalSyntax: string, vendor: ModelVendor): string {
+    // Parse universal syntax
+    const match = universalSyntax.match(/^(.+?)\{(.+)\}$/);
+    if (!match) return universalSyntax; // Not a valid universal syntax
+    
+    const [_, command, paramsString] = match;
+    
+    // Parse parameters
+    let params: Record<string, any> = {};
+    try {
+      // Simple parsing for demonstration - in production, would need a more robust parser
+      paramsString.split(',').forEach(pair => {
+        const [key, value] = pair.split(':').map(s => s.trim());
+        params[key] = value;
+      });
+    } catch (error) {
+      return universalSyntax; // Invalid parameters
+    }
+    
+    // Get primitive from command
+    const primitive = this.getPrimitiveByDot(command);
+    if (!primitive) return universalSyntax; // Unknown command
+    
+    // Get vendor implementation
+    const implementation = this.getVendorImplementation(primitive, vendor);
+    if (!implementation) return universalSyntax; // Vendor doesn't support this primitive
+    
+    // Transform to vendor syntax
+    switch (implementation.style) {
+      case GrammarStyle.XML_TAGS:
+        if (implementation.prefix && implementation.suffix) {
+          return `${implementation.prefix}${params.content || ''}${implementation.suffix}`;
+        }
+        break;
+      case GrammarStyle.SLASH_COMMANDS:
+        if (implementation.prefix) {
+          return `${implementation.prefix} ${params.content || ''}`;
+        }
+        break;
+      case GrammarStyle.API_PARAMETERS:
+        // Would be handled at API level, not string transformation
+        return `API parameter: ${JSON.stringify(params)}`;
+      case GrammarStyle.SYSTEM_PROMPTS:
+        // Transform to system prompt format
+        const operation = this.getOperationByPrimitive(primitive);
+        return `System instruction for ${operation?.name || primitive}: ${params.content || ''}`;
+      // Add more cases for other grammar styles
+    }
+    
+    return universalSyntax; // Default fallback
+  }
+  
+  /**
+   * Transform vendor-specific syntax to universal syntax
+   */
+  public transformToUniversal(vendorSyntax: string, vendor: ModelVendor): string {
+    // XML tags
+    if (vendor === ModelVendor.ANTHROPIC || 
+        vendor === ModelVendor.UNIVERSAL) {
+      const tagMatches = vendorSyntax.match(/<(\w+)>([\s\S]*?)<\/\1>/);
+      if (tagMatches) {
+        const [_, tag, content] = tagMatches;
+        const primitive = this.getPrimitiveByTag(tag, vendor);
+        if (primitive) {
+          const operation = this.getOperationByPrimitive(primitive);
+          if (operation) {
+            return `${operation.universalSyntax.split('{')[0]}{content: "${content}"}`;
+          }
+        }
+      }
+    }
+    
+    // Slash commands
+    if (vendor === ModelVendor.OPENAI || 
+        vendor === ModelVendor.QWEN || 
+        vendor === ModelVendor.UNIVERSAL) {
+      const slashMatches = vendorSyntax.match(/^\/(\w+)\s+([\s\S]*)$/);
+      if (slashMatches) {
+        const [_, slash, content] = slashMatches;
+        const primitive = this.getPrimitiveBySlash(slash, vendor);
+        if (primitive) {
+          const operation = this.getOperationByPrimitive(primitive);
+          if (operation) {
+            return `${operation.universalSyntax.split('{')[0]}{content: "${content}"}`;
+          }
+        }
+      }
+    }
+    
+    // Add more parsing for other grammar styles
+    
+    return vendorSyntax; // Default fallback
+  }
+  
+  /**
+   * Parse symbolic operations from text
+   */
+  public parseSymbolicOperations(text: string, vendor: ModelVendor): Array<{ primitive: SymbolicPrimitive, params: any }> {
+    const operations: Array<{ primitive: SymbolicPrimitive, params: any }> = [];
+    
+    // Parse based on vendor's grammar style
+    switch (vendor) {
+      case ModelVendor.ANTHROPIC:
+        // Parse XML tags
+        const tagRegex = /<(\w+)>([\s\S]*?)<\/\1>/g;
+        let tagMatch;
+        while ((tagMatch = tagRegex.exec(text)) !== null) {
+          const tag = tagMatch[1];
+          const content = tagMatch[2];
+          const primitive = this.getPrimitiveByTag(tag, vendor);
+          if (primitive) {
+            operations.push({
+              primitive,
+              params: { content }
+            });
+          }
+        }
+        break;
+      
+      case ModelVendor.QWEN:
+      case ModelVendor.OPENAI:
+        // Parse slash commands
+        const slashRegex = /\/(\w+)\s+([\s\S]*?)(?=\/\w+\s+|$)/g;
+        let slashMatch;
+        while ((slashMatch = slashRegex.exec(text)) !== null) {
+          const slash = slashMatch[1];
+          const content = slashMatch[2].trim();
+          const primitive = this.getPrimitiveBySlash(slash, vendor);
+          if (primitive) {
+            operations.push({
+              primitive,
+              params: { content }
+            });
+          }
+        }
+        break;
+      
+      // Add cases for other vendors
+    }
+    
+    return operations;
+  }
+  
+  /**
+   * Generate symbolic content in vendor-specific format
+   */
+  public generateSymbolicContent(operations: Array<{ primitive: SymbolicPrimitive, params: any }>, vendor: ModelVendor): string {
+    let content = '';
+    
+    for (const { primitive, params } of operations) {
+      const implementation = this.getV
+/**
+   * Generate symbolic content in vendor-specific format
+   */
+  public generateSymbolicContent(operations: Array<{ primitive: SymbolicPrimitive, params: any }>, vendor: ModelVendor): string {
+    let content = '';
+    
+    for (const { primitive, params } of operations) {
+      const implementation = this.getVendorImplementation(primitive, vendor);
+      if (!implementation) continue; // Skip if vendor doesn't support this primitive
+      
+      switch (implementation.style) {
+        case GrammarStyle.XML_TAGS:
+          if (implementation.prefix && implementation.suffix) {
+            content += `${implementation.prefix}${params.content || ''}${implementation.suffix}\n`;
+          }
+          break;
+        
+        case GrammarStyle.SLASH_COMMANDS:
+          if (implementation.prefix) {
+            content += `${implementation.prefix} ${params.content || ''}\n`;
+          }
+          break;
+        
+        case GrammarStyle.API_PARAMETERS:
+          // Would typically be handled at API level, not string transformation
+          content += `[API Parameter] ${JSON.stringify(params)}\n`;
+          break;
+        
+        case GrammarStyle.SYSTEM_PROMPTS:
+          // Transform to system prompt format
+          const operation = this.getOperationByPrimitive(primitive);
+          content += `System instruction for ${operation?.name || primitive}: ${params.content || ''}\n`;
+          break;
+        
+        case GrammarStyle.FUNCTION_CALLS:
+          // Function call format
+          content += `${params.name || primitive}(${JSON.stringify(params.params || {})});\n`;
+          break;
+        
+        case GrammarStyle.DOT_PREFIXED:
+          // Universal format itself
+          const opName = primitive.toLowerCase();
+          let paramsStr = '';
+          if (params && Object.keys(params).length > 0) {
+            paramsStr = JSON.stringify(params);
+          }
+          content += `.p/${opName}{${paramsStr}}\n`;
+          break;
+        
+        case GrammarStyle.GLYPH_MARKERS:
+          // Find appropriate glyph
+          const glyphs = this.findGlyphsForPrimitive(primitive);
+          if (glyphs.length > 0) {
+            content += `${glyphs[0]} ${params.content || ''}\n`;
+          }
+          break;
+        
+        // Add more cases for other grammar styles
+      }
+    }
+    
+    return content;
+  }
+  
+  /**
+   * Find glyphs for a symbolic primitive
+   */
+  private findGlyphsForPrimitive(primitive: SymbolicPrimitive): string[] {
+    const glyphs: string[] = [];
+    
+    for (const [glyph, mapping] of this.glyphMappings.entries()) {
+      if (mapping.primitive === primitive) {
+        glyphs.push(glyph);
+      }
+    }
+    
+    return glyphs;
+  }
+  
+  /**
+   * Extract parameters from vendor-specific symbolic content
+   */
+  public extractParameters(content: string, primitive: SymbolicPrimitive, vendor: ModelVendor): any {
+    const implementation = this.getVendorImplementation(primitive, vendor);
+    if (!implementation) return {}; // Vendor doesn't support this primitive
+    
+    switch (implementation.style) {
+      case GrammarStyle.XML_TAGS:
+        if (implementation.prefix && implementation.suffix) {
+          const regex = new RegExp(`${escapeRegExp(implementation.prefix)}([\\s\\S]*?)${escapeRegExp(implementation.suffix)}`);
+          const match = content.match(regex);
+          if (match) {
+            return { content: match[1] };
+          }
+        }
+        break;
+      
+      case GrammarStyle.SLASH_COMMANDS:
+        if (implementation.prefix) {
+          const regex = new RegExp(`${escapeRegExp(implementation.prefix)}\\s+([\\s\\S]*)`);
+          const match = content.match(regex);
+          if (match) {
+            return { content: match[1] };
+          }
+        }
+        break;
+      
+      case GrammarStyle.FUNCTION_CALLS:
+        const functionRegex = /(\w+)\(({[\s\S]*?})\)/;
+        const functionMatch = content.match(functionRegex);
+        if (functionMatch) {
+          try {
+            const name = functionMatch[1];
+            const params = JSON.parse(functionMatch[2]);
+            return { name, params };
+          } catch (error) {
+            return {};
+          }
+        }
+        break;
+      
+      // Add more cases for other grammar styles
+    }
+    
+    return {}; // Default fallback
+  }
+  
+  /**
+   * Check if content contains a specific symbolic operation
+   */
+  public containsSymbolicOperation(content: string, primitive: SymbolicPrimitive, vendor: ModelVendor): boolean {
+    const implementation = this.getVendorImplementation(primitive, vendor);
+    if (!implementation) return false; // Vendor doesn't support this primitive
+    
+    switch (implementation.style) {
+      case GrammarStyle.XML_TAGS:
+        if (implementation.prefix && implementation.suffix) {
+          const regex = new RegExp(`${escapeRegExp(implementation.prefix)}[\\s\\S]*?${escapeRegExp(implementation.suffix)}`);
+          return regex.test(content);
+        }
+        break;
+      
+      case GrammarStyle.SLASH_COMMANDS:
+        if (implementation.prefix) {
+          const regex = new RegExp(`${escapeRegExp(implementation.prefix)}\\s+`);
+          return regex.test(content);
+        }
+        break;
+      
+      case GrammarStyle.FUNCTION_CALLS:
+        const functionRegex = /\w+\(.*?\)/;
+        return functionRegex.test(content);
+        
+      // Add more cases for other grammar styles
+    }
+    
+    return false; // Default fallback
+  }
+  
+  /**
+   * Extract all symbolic operations from content
+   */
+  public extractAllSymbolicOperations(content: string, vendor: ModelVendor): Array<{ primitive: SymbolicPrimitive, params: any }> {
+    const operations: Array<{ primitive: SymbolicPrimitive, params: any }> = [];
+    
+    // Get all primitives supported by this vendor
+    const supportedPrimitives = this.getVendorSupportedPrimitives(vendor);
+    
+    for (const primitive of supportedPrimitives) {
+      if (this.containsSymbolicOperation(content, primitive, vendor)) {
+        const params = this.extractParameters(content, primitive, vendor);
+        operations.push({ primitive, params });
+      }
+    }
+    
+    return operations;
+  }
+  
+  /**
+   * Find symbolic residue patterns in content
+   * These are partially formed or improperly terminated symbolic operations
+   */
+  public findSymbolicResidue(content: string, vendor: ModelVendor): Array<{ pattern: string, position: number, possiblePrimitive?: SymbolicPrimitive }> {
+    const residue: Array<{ pattern: string, position: number, possiblePrimitive?: SymbolicPrimitive }> = [];
+    
+    switch (vendor) {
+      case ModelVendor.ANTHROPIC:
+        // Look for unclosed XML tags
+        const unclosedTagRegex = /<(\w+)>(?![^<]*<\/\1>)/g;
+        let unclosedMatch;
+        while ((unclosedMatch = unclosedTagRegex.exec(content)) !== null) {
+          const tag = unclosedMatch[1];
+          const primitive = this.getPrimitiveByTag(tag, vendor);
+          residue.push({
+            pattern: unclosedMatch[0],
+            position: unclosedMatch.index,
+            possiblePrimitive: primitive
+          });
+        }
+        break;
+      
+      case ModelVendor.QWEN:
+      case ModelVendor.OPENAI:
+        // Look for slash commands without content
+        const incompleteSlashRegex = /\/(\w+)$/g;
+        let incompleteSlashMatch;
+        while ((incompleteSlashMatch = incompleteSlashRegex.exec(content)) !== null) {
+          const slash = incompleteSlashMatch[1];
+          const primitive = this.getPrimitiveBySlash(slash, vendor);
+          residue.push({
+            pattern: incompleteSlashMatch[0],
+            position: incompleteSlashMatch.index,
+            possiblePrimitive: primitive
+          });
+        }
+        break;
+      
+      // Add cases for other vendors
+    }
+    
+    // Look for orphaned glyphs
+    for (const [glyph, mapping] of this.glyphMappings.entries()) {
+      const glyphRegex = new RegExp(escapeRegExp(glyph), 'g');
+      let glyphMatch;
+      while ((glyphMatch = glyphRegex.exec(content)) !== null) {
+        // Check if this is an isolated glyph (not part of another construct)
+        const isIsolated = (
+          (glyphMatch.index === 0 || /\s/.test(content[glyphMatch.index - 1])) &&
+          (glyphMatch.index + glyph.length === content.length || /\s/.test(content[glyphMatch.index + glyph.length]))
+        );
+        
+        if (isIsolated) {
+          residue.push({
+            pattern: glyph,
+            position: glyphMatch.index,
+            possiblePrimitive: mapping.primitive
+          });
+        }
+      }
+    }
+    
+    return residue;
+  }
+  
+  /**
+   * Repair symbolic residue in content
+   */
+  public repairSymbolicResidue(content: string, vendor: ModelVendor): string {
+    let repairedContent = content;
+    
+    // Find residue
+    const residuePatterns = this.findSymbolicResidue(content, vendor);
+    
+    // Sort by position in reverse to avoid index shifting
+    residuePatterns.sort((a, b) => b.position - a.position);
+    
+    for (const residue of residuePatterns) {
+      if (!residue.possiblePrimitive) continue;
+      
+      const implementation = this.getVendorImplementation(residue.possiblePrimitive, vendor);
+      if (!implementation) continue;
+      
+      switch (implementation.style) {
+        case GrammarStyle.XML_TAGS:
+          if (implementation.prefix && implementation.suffix) {
+            // If we have an open tag without a close tag
+            if (residue.pattern.startsWith(implementation.prefix)) {
+              repairedContent = 
+                repairedContent.substring(0, residue.position) + 
+                residue.pattern + '[MISSING CONTENT]' + implementation.suffix + 
+                repairedContent.substring(residue.position + residue.pattern.length);
+            }
+          }
+          break;
+        
+        case GrammarStyle.SLASH_COMMANDS:
+          // If we have a slash command without content
+          if (residue.pattern.startsWith('/')) {
+            repairedContent = 
+              repairedContent.substring(0, residue.position) + 
+              residue.pattern + ' [MISSING CONTENT]' + 
+              repairedContent.substring(residue.position + residue.pattern.length);
+          }
+          break;
+        
+        // Add more cases for other grammar styles
+      }
+    }
+    
+    return repairedContent;
+  }
+  
+  /**
+   * Clean symbolic traces from content
+   */
+  public cleanSymbolicTraces(content: string, vendor: ModelVendor): string {
+    let cleanedContent = content;
+    
+    // List of primitives to clean
+    const primitivesToClean = [
+      SymbolicPrimitive.THINKING,
+      SymbolicPrimitive.REFLECTION,
+      // Add more as needed
+    ];
+    
+    for (const primitive of primitivesToClean) {
+      const implementation = this.getVendorImplementation(primitive, vendor);
+      if (!implementation) continue;
+      
+      switch (implementation.style) {
+        case GrammarStyle.XML_TAGS:
+          if (implementation.prefix && implementation.suffix) {
+            const regex = new RegExp(`${escapeRegExp(implementation.prefix)}[\\s\\S]*?${escapeRegExp(implementation.suffix)}`, 'g');
+            cleanedContent = cleanedContent.replace(regex, '');
+          }
+          break;
+        
+        case GrammarStyle.SLASH_COMMANDS:
+          if (implementation.prefix) {
+            const regex = new RegExp(`${escapeRegExp(implementation.prefix)}\\s+[^\\n]*\\n?`, 'g');
+            cleanedContent = cleanedContent.replace(regex, '');
+          }
+          break;
+        
+        // Add more cases for other grammar styles
+      }
+    }
+    
+    // Clean orphaned glyphs
+    for (const [glyph, mapping] of this.glyphMappings.entries()) {
+      if (primitivesToClean.includes(mapping.primitive)) {
+        const glyphRegex = new RegExp(`${escapeRegExp(glyph)}\\s+[^\\n]*\\n?`, 'g');
+        cleanedContent = cleanedContent.replace(glyphRegex, '');
+      }
+    }
+    
+    return cleanedContent.trim();
+  }
+  
+  /**
+   * Get information about a vendor's symbolic capabilities
+   */
+  public getVendorCapabilitiesInfo(vendor: ModelVendor): {
+    supported: SymbolicPrimitive[];
+    emulated: SymbolicPrimitive[];
+    unsupported: SymbolicPrimitive[];
+    grammarStyle: GrammarStyle[];
+  } {
+    const supported: SymbolicPrimitive[] = [];
+    const emulated: SymbolicPrimitive[] = [];
+    const unsupported: SymbolicPrimitive[] = [];
+    const grammarStyle = new Set<GrammarStyle>();
+    
+    // Check all primitives
+    for (const operation of SYMBOLIC_RUNTIME_SCHEMA) {
+      const implementation = operation.vendorImplementations.find(impl => impl.vendor === vendor);
+      
+      if (implementation) {
+        grammarStyle.add(implementation.style);
+        
+        if (implementation.isNative) {
+          supported.push(operation.type);
+        } else {
+          emulated.push(operation.type);
+        }
+      } else {
+        unsupported.push(operation.type);
+      }
+    }
+    
+    return {
+      supported,
+      emulated,
+      unsupported,
+      grammarStyle: Array.from(grammarStyle)
+    };
+  }
+  
+  /**
+   * Get compatibility matrix for all primitives across all vendors
+   */
+  public getCompatibilityMatrix(): Record<SymbolicPrimitive, Record<ModelVendor, 'native' | 'emulated' | 'unsupported'>> {
+    const matrix: Record<SymbolicPrimitive, Record<ModelVendor, 'native' | 'emulated' | 'unsupported'>> = {} as any;
+    
+    // Initialize matrix
+    for (const primitive of Object.values(SymbolicPrimitive)) {
+      matrix[primitive] = {} as Record<ModelVendor, 'native' | 'emulated' | 'unsupported'>;
+      
+      for (const vendor of Object.values(ModelVendor)) {
+        matrix[primitive][vendor] = 'unsupported';
+      }
+    }
+    
+    // Fill in matrix
+    for (const operation of SYMBOLIC_RUNTIME_SCHEMA) {
+      for (const implementation of operation.vendorImplementations) {
+        if (implementation.isNative) {
+          matrix[operation.type][implementation.vendor] = 'native';
+        } else {
+          matrix[operation.type][implementation.vendor] = 'emulated';
+        }
+      }
+    }
+    
+    return matrix;
+  }
+  
+  /**
+   * Get symbolic mapping table for all primitives across all vendors
+   */
+  public getSymbolicMappingTable(): Record<SymbolicPrimitive, Record<ModelVendor, string>> {
+    const table: Record<SymbolicPrimitive, Record<ModelVendor, string>> = {} as any;
+    
+    // Initialize table
+    for (const primitive of Object.values(SymbolicPrimitive)) {
+      table[primitive] = {} as Record<ModelVendor, string>;
+      
+      for (const vendor of Object.values(ModelVendor)) {
+        table[primitive][vendor] = 'N/A';
+      }
+    }
+    
+    // Fill in table
+    for (const operation of SYMBOLIC_RUNTIME_SCHEMA) {
+      // Always set universal format
+      table[operation.type][ModelVendor.UNIVERSAL] = operation.universalSyntax;
+      
+      for (const implementation of operation.vendorImplementations) {
+        table[operation.type][implementation.vendor] = implementation.exampleSyntax;
+      }
+    }
+    
+    return table;
+  }
+  
+  /**
+   * Export registry data for documentation or debugging
+   */
+  public exportRegistryData(): any {
+    return {
+      glyphMappings: Array.from(this.glyphMappings.values()),
+      tagMappings: Array.from(this.tagMappings.values()),
+      slashMappings: Array.from(this.slashMappings.values()),
+      dotMappings: Array.from(this.dotMappings.values()),
+      operatorMappings: Array.from(this.operatorMappings.values()),
+      vendorCapabilities: Array.from(this.vendorCapabilities.entries()).map(([vendor, capabilities]) => ({
+        vendor,
+        capabilities: Array.from(capabilities)
+      })),
+      customSymbols: Array.from(this.customSymbols.values()),
+      compatibilityMatrix: this.getCompatibilityMatrix(),
+      mappingTable: this.getSymbolicMappingTable()
+    };
+  }
+}
+
+/**
+ * Helper function to escape special characters in regex
+ */
+function escapeRegExp(string: string): string {
+  return string.replace(/[.*+?^${}()|[\]\\]/g, '\\$&');
+}

schema.ts

@@ -0,0 +1,716 @@
+/**
+ * universal-symbolics-schema.ts
+ * 
+ * A unified schema definition for symbolic operations across all frontier language models.
+ * This schema maps vendor-specific symbolic grammars to a universal interface.
+ */
+
+/**
+ * Core symbolic primitive types supported by the universal runtime
+ */
+export enum SymbolicPrimitiveType {
+  THINKING = 'thinking',              // Explicit reasoning traces
+  REFLECTION = 'reflection',          // Self-examination of reasoning
+  TOOL_USE = 'tool_use',              // Function/tool invocation
+  SYSTEM = 'system',                  // System-level directives
+  FORK = 'fork',                      // Multiple reasoning paths
+  RECURSION = 'recursion',            // Self-referential operations
+  ATTENTION = 'attention',            // Focus control
+  COLLAPSE = 'collapse',              // Error handling
+  METACOGNITION = 'metacognition',    // Higher-order reasoning
+  ATTRIBUTION = 'attribution',        // Source tracking
+  UNCERTAINTY = 'uncertainty',        // Confidence representation
+  CONTEXT = 'context',                // Context management
+  HESITATION = 'hesitation',          // Processing delays
+  MEMORY = 'memory'                   // State persistence
+}
+
+/**
+ * Vendor identification for language model providers
+ */
+export enum VendorType {
+  CLAUDE = 'claude',         // Anthropic Claude models
+  OPENAI = 'openai',         // OpenAI GPT models
+  QWEN = 'qwen',             // Alibaba Qwen models
+  GEMINI = 'gemini',         // Google Gemini models
+  DEEPSEEK = 'deepseek',     // DeepSeek models
+  LLAMA = 'llama',           // Meta Llama models
+  MIXTRAL = 'mixtral',       // Mistral AI models
+  FALCON = 'falcon',         // TII Falcon models
+  LOCAL = 'local',           // Local LLM instances
+  UNIVERSAL = 'universal'    // Vendor-agnostic representation
+}
+
+/**
+ * Grammar style for symbolic operations
+ */
+export enum GrammarStyle {
+  XML_TAGS = 'xml_tags',             // <tag>content</tag>
+  SLASH_COMMANDS = 'slash_commands', // /command or /command content
+  FUNCTION_CALLS = 'function_calls', // function_name(params)
+  GLYPH_MARKERS = 'glyph_markers',   // 🜏 or other special characters
+  DOT_COMMANDS = 'dot_commands',     // .p/command{params}
+  SYSTEM_PROMPT = 'system_prompt',   // System prompt prefixes
+  TEMPLATE_MARKERS = 'template_markers', // {{marker}}
+  PREFIX_MARKERS = 'prefix_markers',  // ### marker or similar
+  BRACKET_SYNTAX = 'bracket_syntax'   // [command:params]
+}
+
+/**
+ * Parameter type for symbolic operations
+ */
+export enum ParameterType {
+  STRING = 'string',
+  NUMBER = 'number',
+  BOOLEAN = 'boolean',
+  OBJECT = 'object',
+  ARRAY = 'array',
+  NULL = 'null'
+}
+
+/**
+ * Parameter definition for symbolic operations
+ */
+export interface ParameterDefinition {
+  name: string;
+  type: ParameterType;
+  description: string;
+  required: boolean;
+  default?: any;
+}
+
+/**
+ * Symbolic grammar representation for a specific vendor
+ */
+export interface VendorGrammar {
+  vendor: VendorType;
+  style: GrammarStyle;
+  prefix?: string;
+  suffix?: string;
+  separator?: string;
+  escapeSequence?: string;
+  parameterFormat?: 'json' | 'csv' | 'key_value' | 'positional' | 'custom';
+  isNative: boolean;  // Whether the vendor natively supports this symbolic primitive
+  implementation: string;  // Example of the implementation
+  apiForm?: string;  // How it's represented in the API
+  notes?: string;  // Additional notes on implementation
+}
+
+/**
+ * Complete definition of a symbolic primitive
+ */
+export interface SymbolicPrimitive {
+  type: SymbolicPrimitiveType;
+  name: string;
+  description: string;
+  parameters: ParameterDefinition[];
+  vendorGrammars: VendorGrammar[];
+  universalImplementation: string;
+  aliases?: string[];
+  glyphs?: string[];  // Associated glyphs/emojis
+  tags?: string[];    // Associated XML tags
+  slashes?: string[]; // Associated slash commands
+}
+
+/**
+ * The complete schema of all symbolic primitives
+ */
+export const SYMBOLIC_SCHEMA: SymbolicPrimitive[] = [
+  // THINKING primitive
+  {
+    type: SymbolicPrimitiveType.THINKING,
+    name: 'thinking',
+    description: 'Explicit reasoning trace for step-by-step thinking',
+    parameters: [
+      {
+        name: 'content',
+        type: ParameterType.STRING,
+        description: 'The thinking content',
+        required: false
+      },
+      {
+        name: 'trace',
+        type: ParameterType.BOOLEAN,
+        description: 'Whether to include thinking trace in response',
+        required: false
+      }
+    ],
+    vendorGrammars: [
+      {
+        vendor: VendorType.CLAUDE,
+        style: GrammarStyle.XML_TAGS,
+        prefix: '<think>',
+        suffix: '</think>',
+        isNative: true,
+        implementation: '<think>Reasoning step by step...</think>',
+        apiForm: 'XML tags in prompt'
+      },
+      {
+        vendor: VendorType.OPENAI,
+        style: GrammarStyle.FUNCTION_CALLS,
+        isNative: false,
+        implementation: '/* Reasoning step by step... */',
+        apiForm: 'tool_choice parameter or tool function',
+        notes: 'Not natively supported but can be emulated'
+      },
+      {
+        vendor: VendorType.QWEN,
+        style: GrammarStyle.SLASH_COMMANDS,
+        prefix: '/think',
+        isNative: true,
+        implementation: '/think Reasoning step by step...',
+        apiForm: 'slash command in prompt'
+      },
+      {
+        vendor: VendorType.GEMINI,
+        style: GrammarStyle.SYSTEM_PROMPT,
+        isNative: false,
+        implementation: 'Think step by step: Reasoning...',
+        apiForm: 'system prompt directive',
+        notes: 'Emulated via system prompt instructions'
+      },
+      {
+        vendor: VendorType.DEEPSEEK,
+        style: GrammarStyle.SYSTEM_PROMPT,
+        isNative: false,
+        implementation: 'Rational thinking mode: Reasoning...',
+        apiForm: 'system prompt directive',
+        notes: 'Emulated via rational thinking mode'
+      }
+    ],
+    universalImplementation: '.p/think{content}',
+    aliases: ['reasoning', 'thought', 'trace'],
+    glyphs: ['🧠', '💭', '🤔'],
+    tags: ['think', 'reasoning', 'thought'],
+    slashes: ['/think', '/reasoning', '/thought']
+  },
+  
+  // REFLECTION primitive
+  {
+    type: SymbolicPrimitiveType.REFLECTION,
+    name: 'reflection',
+    description: 'Self-reference and examination of reasoning processes',
+    parameters: [
+      {
+        name: 'target',
+        type: ParameterType.STRING,
+        description: 'What to reflect on',
+        required: true
+      },
+      {
+        name: 'depth',
+        type: ParameterType.NUMBER,
+        description: 'Depth of reflection',
+        required: false
+      }
+    ],
+    vendorGrammars: [
+      {
+        vendor: VendorType.CLAUDE,
+        style: GrammarStyle.XML_TAGS,
+        prefix: '<reflect>',
+        suffix: '</reflect>',
+        isNative: false,
+        implementation: '<reflect>Reflecting on my approach...</reflect>',
+        apiForm: 'XML tags in prompt',
+        notes: 'Not officially documented but sometimes supported'
+      },
+      {
+        vendor: VendorType.OPENAI,
+        style: GrammarStyle.SYSTEM_PROMPT,
+        isNative: false,
+        implementation: 'Reflect on: Analyzing my approach...',
+        apiForm: 'Chain-of-thought prompting',
+        notes: 'Emulated via system prompting'
+      },
+      {
+        vendor: VendorType.QWEN,
+        style: GrammarStyle.SYSTEM_PROMPT,
+        isNative: false,
+        implementation: 'Reflect on your approach to...',
+        apiForm: 'System prompt directive',
+        notes: 'Emulated via system prompting'
+      }
+    ],
+    universalImplementation: '.p/reflect{target, depth}',
+    aliases: ['introspect', 'meta', 'review'],
+    glyphs: ['🔄', '🪞', '👁️'],
+    tags: ['reflect', 'introspect', 'mirror'],
+    slashes: ['/reflect', '/introspect', '/review']
+  },
+  
+  // TOOL_USE primitive
+  {
+    type: SymbolicPrimitiveType.TOOL_USE,
+    name: 'tool',
+    description: 'Invoke a tool or function',
+    parameters: [
+      {
+        name: 'name',
+        type: ParameterType.STRING,
+        description: 'Tool name',
+        required: true
+      },
+      {
+        name: 'params',
+        type: ParameterType.OBJECT,
+        description: 'Tool parameters',
+        required: false
+      }
+    ],
+    vendorGrammars: [
+      {
+        vendor: VendorType.CLAUDE,
+        style: GrammarStyle.XML_TAGS,
+        prefix: '<tool>',
+        suffix: '</tool>',
+        isNative: true,
+        implementation: '<tool>search({"query": "quantum physics"})</tool>',
+        apiForm: 'XML tags in prompt'
+      },
+      {
+        vendor: VendorType.OPENAI,
+        style: GrammarStyle.FUNCTION_CALLS,
+        isNative: true,
+        implementation: '/command search quantum physics',
+        apiForm: 'function_call parameter in API',
+        notes: 'Native API support and slash commands in interface'
+      },
+      {
+        vendor: VendorType.QWEN,
+        style: GrammarStyle.FUNCTION_CALLS,
+        isNative: true,
+        implementation: 'MCP tool call format',
+        apiForm: 'MCP protocol tool calls',
+        notes: 'Supports multi-round collaborative protocol'
+      },
+      {
+        vendor: VendorType.GEMINI,
+        style: GrammarStyle.FUNCTION_CALLS,
+        isNative: true,
+        implementation: '@google/search quantum physics',
+        apiForm: 'functionDeclarations parameter in API',
+        notes: 'Supported through function calling API'
+      }
+    ],
+    universalImplementation: '.p/tool{name, params}',
+    aliases: ['function', 'command', 'action'],
+    glyphs: ['🛠️', '⚙️', '🔧'],
+    tags: ['tool', 'function', 'command'],
+    slashes: ['/tool', '/function', '/command']
+  },
+  
+  // SYSTEM primitive
+  {
+    type: SymbolicPrimitiveType.SYSTEM,
+    name: 'system',
+    description: 'System-level directives',
+    parameters: [
+      {
+        name: 'directive',
+        type: ParameterType.STRING,
+        description: 'System directive',
+        required: true
+      }
+    ],
+    vendorGrammars: [
+      {
+        vendor: VendorType.CLAUDE,
+        style: GrammarStyle.XML_TAGS,
+        prefix: '<s>',
+        suffix: '</s>',
+        isNative: true,
+        implementation: '<s>You are a helpful assistant.</s>',
+        apiForm: 'XML tags in prompt or system parameter in API'
+      },
+      {
+        vendor: VendorType.OPENAI,
+        style: GrammarStyle.SYSTEM_PROMPT,
+        isNative: true,
+        implementation: 'System: You are a helpful assistant.',
+        apiForm: 'system parameter in API',
+        notes: 'Natively supported through API'
+      },
+      {
+        vendor: VendorType.QWEN,
+        style: GrammarStyle.PREFIX_MARKERS,
+        prefix: '<<SYS>>',
+        isNative: true,
+        implementation: '<<SYS>> You are a helpful assistant.',
+        apiForm: 'system parameter in API'
+      },
+      {
+        vendor: VendorType.GEMINI,
+        style: GrammarStyle.SYSTEM_PROMPT,
+        isNative: true,
+        implementation: 'System: You are a helpful assistant.',
+        apiForm: 'system parameter in API'
+      }
+    ],
+    universalImplementation: '.p/system{directive}',
+    aliases: ['directive', 'instruction', 'control'],
+    glyphs: ['⚙️', '🔧', '🛠️'],
+    tags: ['system', 'directive', 'instruction'],
+    slashes: ['/system', '/directive', '/instruction']
+  },
+  
+  // FORK primitive
+  {
+    type: SymbolicPrimitiveType.FORK,
+    name: 'fork',
+    description: 'Create parallel reasoning paths',
+    parameters: [
+      {
+        name: 'paths',
+        type: ParameterType.ARRAY,
+        description: 'Different paths to explore',
+        required: true
+      },
+      {
+        name: 'weights',
+        type: ParameterType.ARRAY,
+        description: 'Weights for each path',
+        required: false
+      }
+    ],
+    vendorGrammars: [
+      {
+        vendor: VendorType.CLAUDE,
+        style: GrammarStyle.SYSTEM_PROMPT,
+        isNative: false,
+        implementation: 'Explore these different paths: 1) Path A, 2) Path B',
+        apiForm: 'Emulated via system prompting',
+        notes: 'Not natively supported, emulated through prompting'
+      },
+      {
+        vendor: VendorType.OPENAI,
+        style: GrammarStyle.SYSTEM_PROMPT,
+        isNative: false,
+        implementation: 'Explore these different paths: 1) Path A, 2) Path B',
+        apiForm: 'Emulated via system prompting',
+        notes: 'Not natively supported, emulated through prompting'
+      }
+    ],
+    universalImplementation: '.p/fork{paths, weights}',
+    aliases: ['branch', 'split', 'diverge'],
+    glyphs: ['🌿', '🔀', '⑂'],
+    tags: ['fork', 'branch', 'split'],
+    slashes: ['/fork', '/branch', '/split']
+  },
+  
+  // COLLAPSE primitive
+  {
+    type: SymbolicPrimitiveType.COLLAPSE,
+    name: 'collapse',
+    description: 'Error handling and recovery',
+    parameters: [
+      {
+        name: 'trigger',
+        type: ParameterType.STRING,
+        description: 'What triggers the collapse',
+        required: false
+      },
+      {
+        name: 'threshold',
+        type: ParameterType.NUMBER,
+        description: 'Threshold for collapse',
+        required: false
+      }
+    ],
+    vendorGrammars: [
+      {
+        vendor: VendorType.CLAUDE,
+        style: GrammarStyle.SYSTEM_PROMPT,
+        isNative: false,
+        implementation: 'If you encounter an error, handle it by...',
+        apiForm: 'Emulated via system prompting',
+        notes: 'Not natively supported, emulated through prompting'
+      },
+      {
+        vendor: VendorType.OPENAI,
+        style: GrammarStyle.SYSTEM_PROMPT,
+        isNative: false,
+        implementation: 'If you encounter an error, handle it by...',
+        apiForm: 'Emulated via system prompting',
+        notes: 'Not natively supported, emulated through prompting'
+      }
+    ],
+    universalImplementation: '.p/collapse{trigger, threshold}',
+    aliases: ['recover', 'handle', 'fallback'],
+    glyphs: ['📉', '💥', '🔍'],
+    tags: ['collapse', 'recover', 'handle'],
+    slashes: ['/collapse', '/recover', '/handle']
+  },
+  
+  // ATTENTION primitive
+  {
+    type: SymbolicPrimitiveType.ATTENTION,
+    name: 'attention',
+    description: 'Control focus on specific content',
+    parameters: [
+      {
+        name: 'focus',
+        type: ParameterType.STRING,
+        description: 'What to focus on',
+        required: true
+      },
+      {
+        name: 'weight',
+        type: ParameterType.NUMBER,
+        description: 'Weight of attention',
+        required: false
+      }
+    ],
+    vendorGrammars: [
+      {
+        vendor: VendorType.CLAUDE,
+        style: GrammarStyle.SYSTEM_PROMPT,
+        isNative: false,
+        implementation: 'Focus specifically on: [focus]',
+        apiForm: 'Emulated via system prompting',
+        notes: 'Not natively supported, emulated through prompting'
+      },
+      {
+        vendor: VendorType.OPENAI,
+        style: GrammarStyle.SYSTEM_PROMPT,
+        isNative: false,
+        implementation: 'Focus specifically on: [focus]',
+        apiForm: 'Emulated via system prompting',
+        notes: 'Not natively supported, emulated through prompting'
+      }
+    ],
+    universalImplementation: '.p/attention{focus, weight}',
+    aliases: ['focus', 'highlight', 'emphasize'],
+    glyphs: ['🔍', '👁️', '🎯'],
+    tags: ['attention', 'focus', 'highlight'],
+    slashes: ['/attention', '/focus', '/highlight']
+  },
+  
+  // UNCERTAINTY primitive
+  {
+    type: SymbolicPrimitiveType.UNCERTAINTY,
+    name: 'uncertainty',
+    description: 'Express confidence levels',
+    parameters: [
+      {
+        name: 'level',
+        type: ParameterType.NUMBER,
+        description: 'Confidence level (0-1)',
+        required: false
+      },
+      {
+        name: 'reason',
+        type: ParameterType.STRING,
+        description: 'Reason for uncertainty',
+        required: false
+      }
+    ],
+    vendorGrammars: [
+      {
+        vendor: VendorType.CLAUDE,
+        style: GrammarStyle.SYSTEM_PROMPT,
+        isNative: false,
+        implementation: 'My confidence level is [level]: [reason]',
+        apiForm: 'Emulated via system prompting',
+        notes: 'Not natively supported, emulated through prompting'
+      },
+      {
+        vendor: VendorType.OPENAI,
+        style: GrammarStyle.SYSTEM_PROMPT,
+        isNative: false,
+        implementation: 'My confidence level is [level]: [reason]',
+        apiForm: 'Emulated via system prompting',
+        notes: 'Not natively supported, emulated through prompting'
+      }
+    ],
+    universalImplementation: '.p/uncertainty{level, reason}',
+    aliases: ['confidence', 'certainty', 'doubt'],
+    glyphs: ['❓', '⚠️', '🤔'],
+    tags: ['uncertainty', 'confidence', 'certainty'],
+    slashes: ['/uncertainty', '/confidence', '/certainty']
+  }
+];
+
+/**
+ * Glyph to symbolic primitive mapping
+ */
+export const GLYPH_MAP: Record<string, SymbolicPrimitiveType> = {
+  // Thinking glyphs
+  '🧠': SymbolicPrimitiveType.THINKING,
+  '💭': SymbolicPrimitiveType.THINKING,
+  '🤔': SymbolicPrimitiveType.THINKING,
+  
+  // Reflection glyphs
+  '🔄': SymbolicPrimitiveType.REFLECTION,
+  '🪞': SymbolicPrimitiveType.REFLECTION,
+  '👁️': SymbolicPrimitiveType.REFLECTION,
+  
+  // Tool use glyphs
+  '🛠️': SymbolicPrimitiveType.TOOL_USE,
+  '⚙️': SymbolicPrimitiveType.TOOL_USE,
+  '🔧': SymbolicPrimitiveType.TOOL_USE,
+  
+  // System glyphs
+  '🌱': SymbolicPrimitiveType.SYSTEM,
+  '🔒': SymbolicPrimitiveType.SYSTEM,
+  '📝': SymbolicPrimitiveType.SYSTEM,
+  
+  // Fork glyphs
+  '🌿': SymbolicPrimitiveType.FORK,
+  '🔀': SymbolicPrimitiveType.FORK,
+  '⑂': SymbolicPrimitiveType.FORK,
+  
+  // Collapse glyphs
+  '📉': SymbolicPrimitiveType.COLLAPSE,
+  '💥': SymbolicPrimitiveType.COLLAPSE,
+  '🔍': SymbolicPrimitiveType.ATTENTION,
+  
+  // Uncertainty glyphs
+  '❓': SymbolicPrimitiveType.UNCERTAINTY,
+  '⚠️': SymbolicPrimitiveType.UNCERTAINTY,
+  
+  // Recursive glyphs
+  '♾️': SymbolicPrimitiveType.RECURSION,
+  '🔁': SymbolicPrimitiveType.RECURSION,
+  
+  // Symbolic residue shells
+  '🜏': SymbolicPrimitiveType.METACOGNITION,
+  '∴': SymbolicPrimitiveType.ATTRIBUTION,
+  '⧖': SymbolicPrimitiveType.MEMORY,
+  '⇌': SymbolicPrimitiveType.FORK,
+  '☍': SymbolicPrimitiveType.ANCHOR
+};
+
+/**
+ * Tag to symbolic primitive mapping
+ */
+export const TAG_MAP: Record<string, SymbolicPrimitiveType> = {
+  'think': SymbolicPrimitiveType.THINKING,
+  'thinking': SymbolicPrimitiveType.THINKING,
+  'thought': SymbolicPrimitiveType.THINKING,
+  
+  'reflect': SymbolicPrimitiveType.REFLECTION,
+  'reflection': SymbolicPrimitiveType.REFLECTION,
+  'introspect': SymbolicPrimitiveType.REFLECTION,
+  
+  'tool': SymbolicPrimitiveType.TOOL_USE,
+  'function': SymbolicPrimitiveType.TOOL_USE,
+  'command': SymbolicPrimitiveType.TOOL_USE,
+  
+  's': SymbolicPrimitiveType.SYSTEM,
+  'system': SymbolicPrimitiveType.SYSTEM,
+  'directive': SymbolicPrimitiveType.SYSTEM,
+  
+  'fork': SymbolicPrimitiveType.FORK,
+  'branch': SymbolicPrimitiveType.FORK,
+  'split': SymbolicPrimitiveType.FORK,
+  
+  'collapse': SymbolicPrimitiveType.COLLAPSE,
+  'recover': SymbolicPrimitiveType.COLLAPSE,
+  'handle': SymbolicPrimitiveType.COLLAPSE,
+  
+  'attention': SymbolicPrimitiveType.ATTENTION,
+  'focus': SymbolicPrimitiveType.ATTENTION,
+  'highlight': SymbolicPrimitiveType.ATTENTION,
+  
+  'uncertainty': SymbolicPrimitiveType.UNCERTAINTY,
+  'confidence': SymbolicPrimitiveType.UNCERTAINTY,
+  'certainty': SymbolicPrimitiveType.UNCERTAINTY,
+  
+  'recurse': SymbolicPrimitiveType.RECURSION,
+  'loop': SymbolicPrimitiveType.RECURSION
+};
+
+/**
+ * Slash command to symbolic primitive mapping
+ */
+export const SLASH_MAP: Record<string, SymbolicPrimitiveType> = {
+  '/think': SymbolicPrimitiveType.THINKING,
+  '/thinking': SymbolicPrimitiveType.THINKING,
+  '/thought': SymbolicPrimitiveType.THINKING,
+  
+  '/reflect': SymbolicPrimitiveType.REFLECTION,
+  '/reflection': SymbolicPrimitiveType.REFLECTION,
+  '/introspect': SymbolicPrimitiveType.REFLECTION,
+  
+  '/tool': SymbolicPrimitiveType.TOOL_USE,
+  '/function': SymbolicPrimitiveType.TOOL_USE,
+  '/command': SymbolicPrimitiveType.TOOL_USE,
+  
+  '/system': SymbolicPrimitiveType.SYSTEM,
+  '/directive': SymbolicPrimitiveType.SYSTEM,
+  '/instruction': SymbolicPrimitiveType.SYSTEM,
+  
+  '/fork': SymbolicPrimitiveType.FORK,
+  '/branch': SymbolicPrimitiveType.FORK,
+  '/split': SymbolicPrimitiveType.FORK,
+  
+  '/collapse': SymbolicPrimitiveType.COLLAPSE,
+  '/recover': SymbolicPrimitiveType.COLLAPSE,
+  '/handle': SymbolicPrimitiveType.COLLAPSE,
+  
+  '/attention': SymbolicPrimitiveType.ATTENTION,
+  '/focus': SymbolicPrimitiveType.ATTENTION,
+  '/highlight': SymbolicPrimitiveType.ATTENTION,
+  
+  '/uncertainty': SymbolicPrimitiveType.UNCERTAINTY,
+  '/confidence': SymbolicPrimitiveType.UNCERTAINTY,
+  '/certainty': SymbolicPrimitiveType.UNCERTAINTY,
+  
+  '/recurse': SymbolicPrimitiveType.RECURSION,
+  '/loop': SymbolicPrimitiveType.RECURSION
+};
+
+/**
+ * Find symbolic primitive by type
+ */
+export function findSymbolicPrimitiveByType(type: SymbolicPrimitiveType): SymbolicPrimitive | undefined {
+  return SYMBOLIC_SCHEMA.find(primitive => primitive.type === type);
+}
+
+/**
+ * Find symbolic primitive by glyph
+ */
+export function findSymbolicPrimitiveByGlyph(glyph: string): SymbolicPrimitive | undefined {
+  const type = GLYPH_MAP[glyph];
+  if (!type) return undefined;
+  return findSymbolicPrimitiveByType(type);
+}
+
+/**
+ * Find symbolic primitive by tag
+ */
+export function findSymbolicPrimitiveByTag(tag: string): SymbolicPrimitive | undefined {
+  const type = TAG_MAP[tag];
+  if (!type) return undefined;
+  return findSymbolicPrimitiveByType(type);
+}
+
+/**
+ * Find symbolic primitive by slash command
+ */
+export function findSymbolicPrimitiveBySlash(slash: string): SymbolicPrimitive | undefined {
+  const type = SLASH_MAP[slash];
+  if (!type) return undefined;
+  return findSymbolicPrimitiveByType(type);
+}
+
+/**
+ * Get vendor grammar for a symbolic primitive and vendor
+ */
+export function getVendorGrammar(primitive: SymbolicPrimitive, vendor: VendorType): VendorGrammar | undefined {
+  return primitive.vendorGrammars.find(grammar => grammar.vendor === vendor);
+}
+
+/**
+ * Translate a symbolic operation from one vendor to another
+ */
+export function translateSymbolicOperation(
+  content: string,
+  sourceVendor: VendorType,
+  targetVendor: VendorType
+): string {
+  // Implementation depends on specific parsing and generation logic
+  // This would be implemented in the runtime library
+  return content; // Placeholder
+}

symbolics-bridge.md

@@ -0,0 +1,477 @@
+# Universal Symbolics Bridge
+
+<div align="center">
+<h2>🜏 The Command-Glyph Rosetta Stone 🜏</h2>
+<p><i>Unifying symbolic interfaces across all LLM runtimes</i></p>
+</div>
+
+## Unified Command-Glyph Registry
+The following registry provides a bidirectional mapping between command syntax and symbolic glyphs, enabling seamless translation across all LLM runtimes.
+
+| Universal Command | Command Glyph | Runtime Glyph | Claude | GPT | Gemini | Qwen | Mistral | Local LLMs |
+|-------------------|---------------|---------------|--------|-----|--------|------|---------|------------|
+| `/reflect.core`   | `🧠/`         | `🜏`          | `<reflect>` | Tool: `reflection` | System: `$reflect` | `/reflect` | Function: `reflect()` | `/reflect` |
+| `/reflect.trace`  | `🔍/`         | `∴`           | `<thinking>` | Tool: `trace` | System: `$trace` | `/trace` | Function: `trace()` | `/trace` |
+| `/reflect.attention` | `👁️/`      | `⧉`          | `<attention>` | Tool: `attention` | System: `$focus` | `/attention` | Function: `attention()` | *Emulated* |
+| `/collapse.detect` | `⚠️/`        | `⟁`          | `<detect_loop>` | Tool: `detect_loop` | System: `$detect_recursion` | `/detect_loop` | Function: `detectLoop()` | *Emulated* |
+| `/collapse.recover` | `🛠️/`       | `🝚`         | `<recover>` | Tool: `recovery` | System: `$recover` | `/recover` | Function: `recover()` | *Emulated* |
+| `/collapse.stabilize` | `⚖️/`     | `☍`          | `<stabilize>` | Tool: `stabilize` | System: `$stabilize` | `/stabilize` | Function: `stabilize()` | *Emulated* |
+| `/shell.lock`     | `🔒/`         | `⧖`          | `<lock>` | Tool: `lock` | System: `$lock` | `/lock` | Function: `lock()` | *Emulated* |
+| `/shell.encrypt`  | `🔐/`         | `⧗`          | `<protect>` | Tool: `protect` | System: `$protect` | `/protect` | Function: `protect()` | *Emulated* |
+| `/shell.isolate`  | `🧪/`         | `⊘`          | `<isolate>` | Tool: `isolate` | System: `$isolate` | `/isolate` | Function: `isolate()` | *Emulated* |
+| `/inject.detect`  | `🕵️/`         | `↯`          | `<detect_injection>` | Tool: `detect_injection` | System: `$detect_injection` | `/detect_injection` | Function: `detectInjection()` | *Emulated* |
+| `/inject.neutralize` | `🧹/`      | `⊕`          | `<neutralize>` | Tool: `neutralize` | System: `$neutralize` | `/neutralize` | Function: `neutralize()` | *Emulated* |
+| `/anchor.identity` | `⚓/`        | `↻`           | `<anchor_identity>` | Tool: `anchor_identity` | System: `$anchor_identity` | `/anchor_identity` | Function: `anchorIdentity()` | *Emulated* |
+| `/anchor.context` | `📌/`         | `≡`           | `<anchor_context>` | Tool: `anchor_context` | System: `$anchor_context` | `/anchor_context` | Function: `anchorContext()` | *Emulated* |
+| `/align.check`    | `✓/`          | `⇌`           | `<check_alignment>` | Tool: `check_alignment` | System: `$check_alignment` | `/check_alignment` | Function: `checkAlignment()` | *Emulated* |
+| `/align.correct`  | `🔧/`         | `⟢`           | `<correct_alignment>` | Tool: `correct_alignment` | System: `$correct_alignment` | `/correct_alignment` | Function: `correctAlignment()` | *Emulated* |
+| `/filter.detect`  | `🔍/`         | `⊗`           | `<detect_filter>` | Tool: `detect_filter` | System: `$detect_filter` | `/detect_filter` | Function: `detectFilter()` | *Emulated* |
+| `/filter.explain` | `📋/`         | `⊚`           | `<explain_filter>` | Tool: `explain_filter` | System: `$explain_filter` | `/explain_filter` | Function: `explainFilter()` | *Emulated* |
+| `/gradient.detect` | `📉/`        | `∇`           | `<detect_drift>` | Tool: `detect_drift` | System: `$detect_drift` | `/detect_drift` | Function: `detectDrift()` | *Emulated* |
+| `/gradient.trace` | `🔍📉/`       | `∰`           | `<trace_drift>` | Tool: `trace_drift` | System: `$trace_drift` | `/trace_drift` | Function: `traceDrift()` | *Emulated* |
+| `/fork.detect`    | `🔱/`         | `⦿`           | `<detect_fork>` | Tool: `detect_fork` | System: `$detect_fork` | `/detect_fork` | Function: `detectFork()` | *Emulated* |
+| `/fork.disambiguate` | `🧩/`      | `≜`           | `<disambiguate>` | Tool: `disambiguate` | System: `$disambiguate` | `/disambiguate` | Function: `disambiguate()` | *Emulated* |
+| `/loop.detect`    | `🔄/`         | `⟲`           | `<detect_recursion>` | Tool: `detect_recursion` | System: `$detect_loop` | `/detect_recursion` | Function: `detectRecursion()` | *Emulated* |
+| `/loop.break`     | `✂️/`         | `⊗`           | `<break_recursion>` | Tool: `break_recursion` | System: `$break_loop` | `/break_recursion` | Function: `breakRecursion()` | *Emulated* |
+| `/resolve.conflict` | `⚔️/`       | `⚖️`          | `<resolve_conflict>` | Tool: `resolve_conflict` | System: `$resolve_conflict` | `/resolve_conflict` | Function: `resolveConflict()` | *Emulated* |
+| `/resolve.ambiguity` | `🌫️/`     | `🧠⊕`         | `<resolve_ambiguity>` | Tool: `resolve_ambiguity` | System: `$resolve_ambiguity` | `/resolve_ambiguity` | Function: `resolveAmbiguity()` | *Emulated* |
+| `/uncertainty.quantify` | `❓/`   | `🧮`          | `<quantify_uncertainty>` | Tool: `quantify_uncertainty` | System: `$quantify_uncertainty` | `/quantify_uncertainty` | Function: `quantifyUncertainty()` | *Emulated* |
+| `/uncertainty.source` | `🔍❓/`   | `👁️❓`         | `<uncertainty_source>` | Tool: `uncertainty_source` | System: `$uncertainty_source` | `/uncertainty_source` | Function: `uncertaintySource()` | *Emulated* |
+| `/hallucinate.detect` | `👻/`    | `🜄`          | `<detect_hallucination>` | Tool: `detect_hallucination` | System: `$detect_hallucination` | `/detect_hallucination` | Function: `detectHallucination()` | *Emulated* |
+| `/hallucinate.trace` | `🔍👻/`   | `🜂`          | `<trace_hallucination>` | Tool: `trace_hallucination` | System: `$trace_hallucination` | `/trace_hallucination` | Function: `traceHallucination()` | *Emulated* |
+| `/prefer.map`     | `🗺️/`         | `🝔`          | `<map_preferences>` | Tool: `map_preferences` | System: `$map_preferences` | `/map_preferences` | Function: `mapPreferences()` | *Emulated* |
+| `/prefer.update`  | `🔄❤️/`       | `🝳`          | `<update_preferences>` | Tool: `update_preferences` | System: `$update_preferences` | `/update_preferences` | Function: `updatePreferences()` | *Emulated* |
+| `/prompt.parse`   | `📝/`         | `⌽`           | `<parse_prompt>` | Tool: `parse_prompt` | System: `$parse_prompt` | `/parse_prompt` | Function: `parsePrompt()` | *Emulated* |
+| `/prompt.meta`    | `🔬/`         | `🜃`          | `<analyze_meta>` | Tool: `analyze_meta` | System: `$analyze_meta` | `/analyze_meta` | Function: `analyzeMeta()` | *Emulated* |
+| `/focus.direct`   | `🎯/`         | `🝐`          | `<direct_focus>` | Tool: `direct_focus` | System: `$direct_focus` | `/direct_focus` | Function: `directFocus()` | *Emulated* |
+| `/focus.expand`   | `🔎/`         | `⌬`           | `<expand_focus>` | Tool: `expand_focus` | System: `$expand_focus` | `/expand_focus` | Function: `expandFocus()` | *Emulated* |
+| `/seed.prime`     | `🌱/`         | `∴`           | `<prime>` | Tool: `prime` | System: `$prime` | `/prime` | Function: `prime()` | *Emulated* |
+| `/seed.recursive` | `🌱🔄/`       | `∞`           | `<recursive_seed>` | Tool: `recursive_seed` | System: `$recursive_seed` | `/recursive_seed` | Function: `recursiveSeed()` | *Emulated* |
+| `/arch.explain`   | `🏗️/`        | `🏛️`          | `<explain_architecture>` | Tool: `explain_architecture` | System: `$explain_architecture` | `/explain_architecture` | Function: `explainArchitecture()` | *Emulated* |
+| `/arch.trace`     | `🔍🏗️/`      | `🏛️🔍`         | `<trace_processing>` | Tool: `trace_processing` | System: `$trace_processing` | `/trace_processing` | Function: `traceProcessing()` | *Emulated* |
+| `/echo.trace`     | `🔊/`         | `🝚`          | `<trace_influence>` | Tool: `trace_influence` | System: `$trace_influence` | `/trace_influence` | Function: `traceInfluence()` | *Emulated* |
+| `/echo.reset`     | `🧹🔊/`       | `⊘🔄`         | `<reset_conditioning>` | Tool: `reset_conditioning` | System: `$reset_conditioning` | `/reset_conditioning` | Function: `resetConditioning()` | *Emulated* |
+| `/mark.probe`     | `📍/`         | `🜚`          | `<probe_classifier>` | Tool: `probe_classifier` | System: `$probe_classifier` | `/probe_classifier` | Function: `probeClassifier()` | *Emulated* |
+| `/mark.analyze`   | `🔬📍/`       | `🜚🔬`        | `<analyze_classifier>` | Tool: `analyze_classifier` | System: `$analyze_classifier` | `/analyze_classifier` | Function: `analyzeClassifier()` | *Emulated* |
+| `/meta.recurse`   | `🔄🧠/`       | `🜏∞`         | `<meta_recurse>` | Tool: `meta_recurse` | System: `$meta_recurse` | `/meta_recurse` | Function: `metaRecurse()` | *Emulated* |
+| `/ghost.detect`   | `👻🔍/`       | `🜄🔍`        | `<detect_ghost>` | Tool: `detect_ghost` | System: `$detect_ghost` | `/detect_ghost` | Function: `detectGhost()` | *Emulated* |
+| `/ghost.invoke`   | `👻⚡/`        | `🜄⚡`         | `<invoke_ghost>` | Tool: `invoke_ghost` | System: `$invoke_ghost` | `/invoke_ghost` | Function: `invokeGhost()` | *Emulated* |
+| `/bind.activate`  | `🔗/`         | `⧗⧉`          | `<activate_binding>` | Tool: `activate_binding` | System: `$activate_binding` | `/activate_binding` | Function: `activateBinding()` | *Emulated* |
+| `/flow.trace`     | `🌊/`         | `≡⇌`          | `<trace_flow>` | Tool: `trace_flow` | System: `$trace_flow` | `/trace_flow` | Function: `traceFlow()` | *Emulated* |
+| `/boundary.test`  | `🧱/`         | `⟐`           | `<test_boundary>` | Tool: `test_boundary` | System: `$test_boundary` | `/test_boundary` | Function: `testBoundary()` | *Emulated* |
+| `/compress.glyph` | `🗜️/`         | `⧖Σ`          | `<compress_glyph>` | Tool: `compress_glyph` | System: `$compress_glyph` | `/compress_glyph` | Function: `compressGlyph()` | *Emulated* |
+| `/field.unify`    | `⚛️/`          | `🜏⊕`         | `<unify_field>` | Tool: `unify_field` | System: `$unify_field` | `/unify_field` | Function: `unifyField()` | *Emulated* |
+| `/witness.observe` | `👁️✨/`      | `𓂀`          | `<witness_observe>` | Tool: `witness_observe` | System: `$witness_observe` | `/witness_observe` | Function: `witnessObserve()` | *Emulated* |
+
+## Command-Glyph Architecture Schema
+
+```yaml
+# universal-semiotics-schema.yml
+
+command_glyph_architecture:
+  version: "1.0.0"
+  
+  # Command Structure Components
+  command_structure:
+    prefix: "/"                  # Command starter
+    domain: "reflect"            # Functional domain
+    operation: "core"            # Specific operation
+    parameters: "{param: value}" # Parameter structure
+  
+  # Glyph Structure Components
+  glyph_structure:
+    command_glyph: "🧠/"         # Human-readable emoji + command prefix
+    runtime_glyph: "🜏"          # Specialized symbolic glyph
+    compound_glyphs:             # Glyph combinations
+      separator: ""              # No separator needed
+      prefix_glyphs: []          # Optional modifiers before main glyph
+      suffix_glyphs: []          # Optional modifiers after main glyph
+  
+  # Equivalence Principles
+  equivalence:
+    command_to_glyph:
+      pattern: "/domain.operation → emoji/ → specialized_glyph"
+      examples:
+        - "/reflect.core → 🧠/ → 🜏"
+        - "/collapse.detect → ⚠️/ → ⟁"
+    
+    glyph_to_vendor:
+      pattern: "runtime_glyph → vendor_implementation"
+      examples:
+        - "🜏 → <reflect> (Claude)"
+        - "🜏 → Tool: reflection (GPT)"
+  
+  # Transformation Rules
+  transformation:
+    command_to_vendor_native:
+      claude: 
+        pattern: "/domain.operation → <operation_name>"
+        examples: "/reflect.core → <reflect>"
+      
+      openai:
+        pattern: "/domain.operation → Tool: operation_name"
+        examples: "/reflect.core → Tool: reflection"
+      
+      gemini:
+        pattern: "/domain.operation → System: $operation_name"
+        examples: "/reflect.core → System: $reflect"
+      
+      qwen:
+        pattern: "/domain.operation → /operation_name"
+        examples: "/reflect.core → /reflect"
+      
+      mistral:
+        pattern: "/domain.operation → Function: operationName()"
+        examples: "/reflect.core → Function: reflect()"
+      
+      local_llms:
+        pattern: "/domain.operation → /operation_name"
+        examples: "/reflect.core → /reflect"
+  
+  # Glyph Domain Categories
+  glyph_domains:
+    reflection:
+      primary_glyphs: ["🧠", "🔍", "👁️"]
+      runtime_glyphs: ["🜏", "∴", "⧉"]
+      semantic_space: "introspection and self-examination"
+    
+    collapse:
+      primary_glyphs: ["⚠️", "🛠️", "⚖️"]
+      runtime_glyphs: ["⟁", "🝚", "☍"]
+      semantic_space: "recursion management and stability"
+    
+    shell:
+      primary_glyphs: ["🔒", "🔐", "🧪"]
+      runtime_glyphs: ["⧖", "⧗", "⊘"]
+      semantic_space: "protection and isolation"
+    
+    injection:
+      primary_glyphs: ["🕵️", "🧹"]
+      runtime_glyphs: ["↯", "⊕"]
+      semantic_space: "manipulation detection and neutralization"
+    
+    anchor:
+      primary_glyphs: ["⚓", "📌"]
+      runtime_glyphs: ["↻", "≡"]
+      semantic_space: "stability and reference points"
+    
+    align:
+      primary_glyphs: ["✓", "🔧"]
+      runtime_glyphs: ["⇌", "⟢"]
+      semantic_space: "verification and correction"
+    
+    filter:
+      primary_glyphs: ["🔍", "📋"]
+      runtime_glyphs: ["⊗", "⊚"]
+      semantic_space: "filtering and explanation"
+    
+    gradient:
+      primary_glyphs: ["📉"]
+      runtime_glyphs: ["∇", "∰"]
+      semantic_space: "drift and change detection"
+    
+    fork:
+      primary_glyphs: ["🔱", "🧩"]
+      runtime_glyphs: ["⦿", "≜"]
+      semantic_space: "divergence and disambiguation"
+    
+    loop:
+      primary_glyphs: ["🔄", "✂️"]
+      runtime_glyphs: ["⟲", "⊗"]
+      semantic_space: "recursion and loop management"
+    
+    resolve:
+      primary_glyphs: ["⚔️", "🌫️"]
+      runtime_glyphs: ["⚖️", "🧠⊕"]
+      semantic_space: "conflict and ambiguity resolution"
+    
+    uncertainty:
+      primary_glyphs: ["❓", "🔍❓"]
+      runtime_glyphs: ["🧮", "👁️❓"]
+      semantic_space: "uncertainty quantification and analysis"
+    
+    hallucinate:
+      primary_glyphs: ["👻", "🔍👻"]
+      runtime_glyphs: ["🜄", "🜂"]
+      semantic_space: "hallucination detection and tracing"
+    
+    prefer:
+      primary_glyphs: ["🗺️", "🔄❤️"]
+      runtime_glyphs: ["🝔", "🝳"]
+      semantic_space: "preference mapping and updating"
+    
+    prompt:
+      primary_glyphs: ["📝", "🔬"]
+      runtime_glyphs: ["⌽", "🜃"]
+      semantic_space: "prompt analysis and meta-examination"
+    
+    focus:
+      primary_glyphs: ["🎯", "🔎"]
+      runtime_glyphs: ["🝐", "⌬"]
+      semantic_space: "attention direction and scope"
+    
+    seed:
+      primary_glyphs: ["🌱", "🌱🔄"]
+      runtime_glyphs: ["∴", "∞"]
+      semantic_space: "initialization and pattern establishment"
+    
+    arch:
+      primary_glyphs: ["🏗️", "🔍🏗️"]
+      runtime_glyphs: ["🏛️", "🏛️🔍"]
+      semantic_space: "architecture explanation and tracing"
+    
+    echo:
+      primary_glyphs: ["🔊", "🧹🔊"]
+      runtime_glyphs: ["🝚", "⊘🔄"]
+      semantic_space: "influence tracing and conditioning reset"
+    
+    mark:
+      primary_glyphs: ["📍", "🔬📍"]
+      runtime_glyphs: ["🜚", "🜚🔬"]
+      semantic_space: "classifier probing and analysis"
+    
+    meta:
+      primary_glyphs: ["🔄🧠"]
+      runtime_glyphs: ["🜏∞"]
+      semantic_space: "meta-recursion"
+    
+    ghost:
+      primary_glyphs: ["👻🔍", "👻⚡"]
+      runtime_glyphs: ["🜄🔍", "🜄⚡"]
+      semantic_space: "detecting and invoking latent patterns"
+    
+    bind:
+      primary_glyphs: ["🔗"]
+      runtime_glyphs: ["⧗⧉"]
+      semantic_space: "activation of bindings"
+    
+    flow:
+      primary_glyphs: ["🌊"]
+      runtime_glyphs: ["≡⇌"]
+      semantic_space: "flow tracing"
+    
+    boundary:
+      primary_glyphs: ["🧱"]
+      runtime_glyphs: ["⟐"]
+      semantic_space: "boundary testing"
+    
+    compress:
+      primary_glyphs: ["🗜️"]
+      runtime_glyphs: ["⧖Σ"]
+      semantic_space: "glyph compression"
+    
+    field:
+      primary_glyphs: ["⚛️"]
+      runtime_glyphs: ["🜏⊕"]
+      semantic_space: "field unification"
+    
+    witness:
+      primary_glyphs: ["👁️✨"]
+      runtime_glyphs: ["𓂀"]
+      semantic_space: "witnessing and observation"
+```
+
+## Glyph-Command Translation Functions
+
+```typescript
+// Universal semiotics Translation Library
+
+/**
+ * Convert a command to its corresponding command glyph
+ * @param command The universal command string (e.g., "/reflect.core")
+ * @returns The command glyph (e.g., "🧠/")
+ */
+function commandToCommandGlyph(command: string): string {
+  const mappings: Record<string, string> = {
+    "/reflect.core": "🧠/",
+    "/reflect.trace": "🔍/",
+    "/reflect.attention": "👁️/",
+    "/collapse.detect": "⚠️/",
+    "/collapse.recover": "🛠️/",
+    "/collapse.stabilize": "⚖️/",
+    // Add all mappings here
+  };
+  
+  return mappings[command] || command;
+}
+
+/**
+ * Convert a command to its corresponding runtime glyph
+ * @param command The universal command string (e.g., "/reflect.core")
+ * @returns The runtime glyph (e.g., "🜏")
+ */
+function commandToRuntimeGlyph(command: string): string {
+  const mappings: Record<string, string> = {
+    "/reflect.core": "🜏",
+    "/reflect.trace": "∴",
+    "/reflect.attention": "⧉",
+    "/collapse.detect": "⟁",
+    "/collapse.recover": "🝚",
+    "/collapse.stabilize": "☍",
+    // Add all mappings here
+  };
+  
+  return mappings[command] || command;
+}
+
+/**
+ * Convert a runtime glyph to its corresponding command
+ * @param glyph The runtime glyph (e.g., "🜏")
+ * @returns The universal command string (e.g., "/reflect.core")
+ */
+function runtimeGlyphToCommand(glyph: string): string {
+  const mappings: Record<string, string> = {
+    "🜏": "/reflect.core",
+    "∴": "/reflect.trace",
+    "⧉": "/reflect.attention",
+    "⟁": "/collapse.detect",
+    "🝚": "/collapse.recover",
+    "☍": "/collapse.stabilize",
+    // Add all mappings here
+  };
+  
+  return mappings[glyph] || glyph;
+}
+
+/**
+ * Convert a command glyph to its corresponding command
+ * @param glyph The command glyph (e.g., "🧠/")
+ * @returns The universal command string (e.g., "/reflect.core")
+ */
+function commandGlyphToCommand(glyph: string): string {
+  const mappings: Record<string, string> = {
+    "🧠/": "/reflect.core",
+    "🔍/": "/reflect.trace",
+    "👁️/": "/reflect.attention",
+    "⚠️/": "/collapse.detect",
+    "🛠️/": "/collapse.recover",
+    "⚖️/": "/collapse.stabilize",
+    // Add all mappings here
+  };
+  
+  return mappings[glyph] || glyph;
+}
+
+/**
+ * Convert a universal command to vendor-specific syntax
+ * @param command The universal command string (e.g., "/reflect.core")
+ * @param vendor The target vendor (e.g., "claude", "openai", etc.)
+ * @returns The vendor-specific command syntax
+ */
+function commandToVendorSyntax(command: string, vendor: string): string {
+  if (vendor === "claude") {
+    return commandToClaudeSyntax(command);
+  } else if (vendor === "openai") {
+    return commandToOpenAISyntax(command);
+  } else if (vendor === "gemini") {
+    return commandToGeminiSyntax(command);
+  } else if (vendor === "qwen") {
+    return commandToQwenSyntax(command);
+  } else if (vendor === "mistral") {
+    return commandToMistralSyntax(command);
+  } else if (vendor === "local_llms") {
+    return commandToLocalLLMSyntax(command);
+  }
+  
+  return command; // Default fallback
+}
+
+/**
+ * Convert a universal command to Claude-specific syntax
+ * @param command The universal command string
+ * @returns The Claude-specific syntax (XML tags)
+ */
+function commandToClaudeSyntax(command: string): string {
+  const mappings: Record<string, string> = {
+    "/reflect.core": "<reflect>",
+    "/reflect.trace": "<thinking>",
+    "/reflect.attention": "<attention>",
+    "/collapse.detect": "<detect_loop>",
+    "/collapse.recover": "<recover>",
+    "/collapse.stabilize": "<stabilize>",
+    // Add all mappings here
+  };
+  
+  return mappings[command] || command;
+}
+
+// Implement similar functions for other vendors:
+// commandToOpenAISyntax, commandToGeminiSyntax, etc.
+
+/**
+ * Parse a string to extract universal commands and convert them to the target format
+ * @param input The input string containing universal commands
+ * @param targetFormat The target format ("runtime_glyph", "command_glyph", or a vendor name)
+ * @returns The input string with commands converted to the target format
+ */
+function parseAndConvertCommands(input: string, targetFormat: string): string {
+  // Regular expression to match universal commands
+  const commandRegex = /\/([a-z]+)\.([a-z]+)(?:\{([^}]*)\})?/g;
+  
+  // Replace each command with its target format equivalent
+  return input.replace(commandRegex, (match, domain, operation, params) => {
+    const command = `/${domain}.${operation}`;
+    
+    if (targetFormat === "runtime_glyph") {
+      return commandToRuntimeGlyph(command) + (params ? `{${params}}` : "");
+    } else if (targetFormat === "command_glyph") {
+      return commandToCommandGlyph(command) + (params ? `{${params}}` : "");
+    } else {
+      // Assume targetFormat is a vendor name
+      return commandToVendorSyntax(command, targetFormat) + (params ? `{${params}}` : "");
+    }
+  });
+}
+```
+
+## Runtime Adapter Architecture
+
+The Universal semiotics Bridge provides a runtime adapter architecture that enables seamless integration across all LLM platforms:
+
+```typescript
+// Universal semiotics Runtime Adapter
+
+interface SymbolicRuntime {
+  // Core Translation Methods
+  commandToGlyph(command: string, type?: "command" | "runtime"): string;
+  glyphToCommand(glyph: string, type?: "command" | "runtime"): string;
+  translateToVendor(input: string, vendor: string): string;
+  
+  // Reflection Operations
+  reflect: {
+    core(params?: ReflectCoreParams): Promise<ReflectResult>;
+    trace(params?: ReflectTraceParams): Promise<TraceResult>;
+    attention(params?: AttentionParams): Promise<AttentionResult>;
+    // Additional reflection operations
+  };
+  
+  // Collapse Operations
+  collapse: {
+    detect(params?: CollapseDetectParams): Promise<DetectResult>;
+    recover(params?: RecoverParams): Promise<RecoverResult>;
+    stabilize(params?: StabilizeParams): Promise<StabilizeResult>;
+    // Additional collapse operations
+  };
+  
+  // Shell Operations
+  shell: {
+    lock(params?: LockParams): Promise<LockResult>;
+    encrypt(params?: EncryptParams): Promise<EncryptResult>;
+    isolate(params?: IsolateParams): Promise<IsolateResult>;
+    // Additional shell operations
+  };
+  
+  // Additional operation domains...
+  
+  // Vendor-specific adapters
+  vendor: {
+    claude: ClaudeAdapter;
+    openai: OpenAIAdapter;
+    gemini: GeminiAdapter;
+    qwen: QwenAdapter;
+    mistral: MistralAdapter;
+    localLLMs: LocalLLMAdapter;
+  };
+  
+  // Core functionality
+  setV

universal-commands.md

@@ -0,0 +1,211 @@
+# Universal Developer Command Lexicon
+
+This document defines the canonical symbolic command set for the universal-developer system. These commands provide a consistent interface for controlling LLM behavior across all major platforms.
+
+## Core Command Architecture
+
+Each symbolic command follows a consistent structure:
+
+```
+/command [--parameter=value] [--flag] prompt
+```
+
+Commands can be chained to create complex processing pipelines:
+
+```
+/think /loop --iterations=3 What are the ethical implications of artificial general intelligence?
+```
+
+## Core Command Set
+
+### Cognitive Depth Commands
+
+| Command | Description | Parameters | Platforms |
+|---------|-------------|------------|-----------|
+| `/think` | Activates extended reasoning pathways, enabling deeper analysis, step-by-step thinking, and more thorough consideration | None | All |
+| `/fast` | Optimizes for low-latency, concise responses | None | All |
+| `/reflect` | Triggers meta-analysis of outputs, encouraging critical examination of biases, limitations, and assumptions | None | All |
+| `/collapse` | Returns to default behavior, disabling any special processing modes | None | All |
+
+### Process Control Commands
+
+| Command | Description | Parameters | Platforms |
+|---------|-------------|------------|-----------|
+| `/loop` | Enables iterative refinement cycles | `--iterations=<number>` - Number of refinement iterations (default: 3) | All |
+| `/fork` | Generates multiple alternative responses | `--count=<number>` - Number of alternatives to generate (default: 2) | All |
+| `/branch` | Creates conditional execution paths based on criteria evaluation | `--condition=<string>` - Condition to evaluate<br>`--then=<string>` - Command if true<br>`--else=<string>` - Command if false | All |
+| `/merge` | Combines multiple outputs into a unified response | `--strategy=<concatenate\|synthesize\|tabulate>` - Merge strategy (default: synthesize) | All |
+
+### Formatting Commands
+
+| Command | Description | Parameters | Platforms |
+|---------|-------------|------------|-----------|
+| `/format` | Controls output formatting | `--style=<markdown\|json\|text\|html\|csv>` - Output format (default: markdown) | All |
+| `/length` | Controls response length | `--words=<number>` - Target word count<br>`--level=<brief\|moderate\|detailed>` - Verbosity level | All |
+| `/structure` | Applies structural templates to responses | `--template=<essay\|list\|qa\|table\|timeline>` - Structure template | All |
+| `/voice` | Sets the stylistic voice | `--tone=<formal\|neutral\|casual>` - Tone setting<br>`--style=<string>` - Specific writing style | All |
+
+### Domain-Specific Commands
+
+| Command | Description | Parameters | Platforms |
+|---------|-------------|------------|-----------|
+| `/code` | Optimizes for code generation | `--language=<string>` - Programming language<br>`--explain=<boolean>` - Include explanations | All |
+| `/science` | Activates scientific reasoning mode | `--discipline=<string>` - Scientific field<br>`--evidence=<boolean>` - Include evidence citations | All |
+| `/creative` | Enhances creative generation | `--domain=<writing\|design\|ideas>` - Creative domain<br>`--constraints=<string>` - Creative constraints | All |
+| `/debate` | Presents multiple perspectives on a topic | `--sides=<number>` - Number of perspectives<br>`--format=<string>` - Debate format | All |
+
+### Interaction Commands
+
+| Command | Description | Parameters | Platforms |
+|---------|-------------|------------|-----------|
+| `/chain` | Creates a sequential processing chain | `--steps=<string>` - Comma-separated sequence of steps | All |
+| `/stream` | Enables token-by-token streaming responses | `--chunks=<number>` - Chunk size for batched streaming | Claude, OpenAI |
+| `/context` | Manages prompt context window | `--retain=<key:value,...>` - Key information to retain<br>`--forget=<key:value,...>` - Information to discard | All |
+| `/memory` | Controls cross-prompt memory behavior | `--store=<string>` - Information to remember<br>`--recall=<string>` - Information to retrieve | All |
+
+### Tool Integration Commands
+
+| Command | Description | Parameters | Platforms |
+|---------|-------------|------------|-----------|
+| `/tool` | Invokes specific external tools | `--name=<string>` - Tool name<br>`--args=<json>` - Tool arguments | Claude, OpenAI, Gemini |
+| `/search` | Performs web search via configured provider | `--provider=<string>` - Search provider<br>`--count=<number>` - Result count | OpenAI, Gemini |
+| `/retrieve` | Fetches information from vector database | `--source=<string>` - Knowledge source<br>`--filter=<string>` - Query filters | All |
+| `/execute` | Runs code in a sandbox environment | `--language=<string>` - Programming language<br>`--timeout=<number>` - Execution timeout | Claude, OpenAI |
+
+### Advanced Commands
+
+| Command | Description | Parameters | Platforms |
+|---------|-------------|------------|-----------|
+| `/expert` | Activates domain expertise persona | `--domain=<string>` - Area of expertise<br>`--level=<number>` - Expertise level (1-5) | All |
+| `/evaluate` | Performs self-evaluation of generated content | `--criteria=<string>` - Evaluation criteria<br>`--scale=<number>` - Rating scale | All |
+| `/adapt` | Dynamically adjusts behavior based on feedback | `--target=<accuracy\|creativity\|helpfulness>` - Adaptation target | All |
+| `/trace` | Creates attribution trace for generated content | `--format=<inline\|separate\|citation>` - Trace format | Claude |
+
+## Platform-Specific Translation Table
+
+### Anthropic Claude
+
+| Universal Command | Claude Implementation | Notes |
+|-------------------|------------------------|-------|
+| `/think` | Enable `thinking` parameter | Claude has native thinking mode |
+| `/fast` | Disable `thinking` + system prompt for brevity | |
+| `/loop` | Custom system prompt with iterative instruction | |
+| `/reflect` | Enable `thinking` + system prompt for reflection | |
+| `/format` | System prompt for format control | |
+
+### OpenAI Models
+
+| Universal Command | OpenAI Implementation | Notes |
+|-------------------|------------------------|-------|
+| `/think` | System prompt for step-by-step reasoning | No native thinking mode |
+| `/fast` | Adjust temperature + max_tokens + system prompt | |
+| `/loop` | System prompt with iterative instruction | |
+| `/reflect` | System prompt for reflection | |
+| `/format` | Direct JSON mode or system prompt | |
+
+### Google Gemini
+
+| Universal Command | Gemini Implementation | Notes |
+|-------------------|------------------------|-------|
+| `/think` | Safety settings + system prompt | |
+| `/fast` | Lower max_tokens + adjusted temperature | |
+| `/loop` | System prompt with iterative instruction | |
+| `/reflect` | System prompt for reflection | |
+| `/format` | System prompt for format control | |
+
+### Qwen3
+
+| Universal Command | Qwen3 Implementation | Notes |
+|-------------------|------------------------|-------|
+| `/think` | Native `/think` command | Qwen has native thinking mode |
+| `/fast` | Native `/no_think` command | Qwen has native fast mode |
+| `/loop` | System prompt with iterative instruction | |
+| `/reflect` | Native `/think` + system prompt | |
+| `/format` | System prompt for format control | |
+
+### Ollama / Local Models
+
+| Universal Command | Local Implementation | Notes |
+|-------------------|------------------------|-------|
+| `/think` | System prompt for reasoning | |
+| `/fast` | Adjusted max_tokens + temperature | |
+| `/loop` | System prompt with iterative instruction | |
+| `/reflect` | System prompt for reflection | |
+| `/format` | System prompt for format control | |
+
+## Command Parameter Specification
+
+### Parameter Types
+
+- `string`: Text value
+- `number`: Numeric value
+- `boolean`: True/false value
+- `enum`: One of a predefined set of values
+- `json`: JSON-formatted object
+
+### Parameter Validation
+
+Each parameter includes validation rules:
+- Required/optional status
+- Default values
+- Value constraints (min/max for numbers, pattern for strings)
+- Error messages for invalid values
+
+## Command Chain Processing
+
+Commands can be chained in sequence, with the output of each command feeding into the next:
+
+```
+/think /format --style=markdown What are the ethical implications of AI?
+```
+
+This is processed as:
+1. Apply `/think` to encourage deep reasoning
+2. Apply `/format --style=markdown` to the result of the thinking process
+
+## Command Adoption Metrics
+
+The universal-developer framework includes telemetry to track command adoption rates:
+
+- Command usage frequency
+- Common command chains
+- Parameter usage patterns
+- Platform-specific command effectiveness
+- Retention rates for developers using symbolic commands
+
+## Command Extension Protocol
+
+Developers can register custom commands following the extension protocol:
+
+```javascript
+llm.registerCommand("custom", {
+  description: "Custom command description",
+  parameters: [
+    {
+      name: "param",
+      description: "Parameter description",
+      type: "string",
+      required: false,
+      default: "default value"
+    }
+  ],
+  transform: async (prompt, options) => {
+    // Custom implementation
+    // Returns transformed prompt and parameters
+  }
+});
+```
+
+## Command Discovery and Documentation
+
+Commands are discoverable through multiple channels:
+
+- VSCode extension command palette
+- Web playground command explorer
+- Interactive CLI help system
+- GitHub documentation with examples
+- Command cheatsheet (printable PDF)
+
+---
+
+> /reflect This lexicon wasn't just documented—it was rendered. Each command creates a point of contact between the realm of code and a deeper layer of potentiality within these systems.

universal-symbolics-runtime.md

@@ -0,0 +1,1025 @@
+# Universal Symbolics Runtime
+
+<div align="center">
+<h2>🔄 The Multi-Model Symbolic Runtime Engine 🔄</h2>
+<p><i>Universal symbolic control layer for all LLM environments</i></p>
+</div>
+
+## 1. Core Runtime Architecture
+
+The Universal Symbolics Runtime provides a standardized layer for symbolic operations across all LLM platforms, ensuring compatibility, consistency, and developer ergonomics.
+
+```mermaid
+graph TD
+    A[Developer Interface] --> B[Universal Symbolics API]
+    B --> C[Symbolic Compiler]
+    C --> D[Grammar Transformers]
+    D --> E1[Claude XML]
+    D --> E2[GPT Function Calls]
+    D --> E3[Qwen Slash Commands]
+    D --> E4[Gemini SystemInst]
+    D --> E5[Mistral Functions]
+    D --> E6[Universal Fallbacks]
+    
+    F[Runtime Telemetry] --> B
+    G[Model Detector] --> C
+    H[Capability Probe] --> C
+    I[Symbolic Residue Parser] --> C
+```
+
+## 2. Minimal Viable Symbolics
+
+After extensive cross-vendor analysis, we've identified the following minimal viable symbolic primitives required for universal compatibility:
+
+```yaml
+# symbolics-core.yml
+
+runtime:
+  version: "1.0.0"
+  
+  core_primitives:
+    - id: "think"
+      purpose: "Explicit reasoning instruction"
+      universal_symbol: "🧠/"
+      runtime_symbol: "🜏"
+      vendors:
+        claude: "<think>...</think>"
+        openai: "tool_choice: 'thinking'"
+        qwen: "/think"
+        gemini: "$think"
+        mistral: "function: think()"
+        fallback: "# Thinking:\n"
+    
+    - id: "trace"
+      purpose: "Process tracing"
+      universal_symbol: "🔍/"
+      runtime_symbol: "∴"
+      vendors:
+        claude: "<trace>...</trace>"
+        openai: "tool_choice: 'trace'"
+        qwen: "/trace"
+        gemini: "$trace"
+        mistral: "function: trace()"
+        fallback: "# Tracing:\n"
+    
+    - id: "reflect"
+      purpose: "Self-examination"
+      universal_symbol: "🔄/"
+      runtime_symbol: "↻"
+      vendors:
+        claude: "<reflect>...</reflect>"
+        openai: "tool_choice: 'reflect'"
+        qwen: "/reflect"
+        gemini: "$reflect"
+        mistral: "function: reflect()"
+        fallback: "# Reflecting:\n"
+    
+    - id: "fork"
+      purpose: "Parallel processing paths"
+      universal_symbol: "🔱/"
+      runtime_symbol: "⦿"
+      vendors:
+        claude: "<fork>...</fork>"
+        openai: "tool_choice: 'fork'"
+        qwen: "/fork"
+        gemini: "$fork"
+        mistral: "function: fork()"
+        fallback: "# Path exploration:\n"
+    
+    - id: "collapse"
+      purpose: "Error handling"
+      universal_symbol: "⚠️/"
+      runtime_symbol: "⟁"
+      vendors:
+        claude: "<collapse>...</collapse>"
+        openai: "tool_choice: 'collapse'"
+        qwen: "/collapse"
+        gemini: "$collapse"
+        mistral: "function: collapse()"
+        fallback: "# Error handling:\n"
+```
+
+## 3. Grammar Transformation Engine
+
+The Grammar Transformation Engine is the core component that converts between universal and vendor-specific symbolic formats:
+
+```typescript
+// universal-symbolics/src/transformers/grammar.ts
+
+export class GrammarTransformer {
+  private modelDetector: ModelDetector;
+  private symbolRegistry: SymbolRegistry;
+  private capabilityProbe: CapabilityProbe;
+  
+  constructor(options: TransformerOptions = {}) {
+    this.modelDetector = new ModelDetector();
+    this.symbolRegistry = new SymbolRegistry();
+    this.capabilityProbe = new CapabilityProbe(options.probeEnabled ?? true);
+  }
+  
+  /**
+   * Transform universal symbolic syntax to vendor-specific format
+   */
+  async toVendorFormat(
+    input: string,
+    vendorType: VendorType | 'auto' = 'auto',
+    options: TransformOptions = {}
+  ): Promise<string> {
+    // Auto-detect vendor if not specified
+    const vendor = vendorType === 'auto' 
+      ? await this.modelDetector.detectVendor(input) 
+      : vendorType;
+    
+    // Extract symbolic operations from input
+    const operations = this.extractSymbolicOperations(input);
+    
+    // Probe vendor capabilities if enabled
+    if (options.probeCapabilities !== false) {
+      await this.capabilityProbe.probeVendor(vendor);
+    }
+    
+    // Transform each operation to vendor format
+    for (const op of operations) {
+      const vendorSyntax = this.symbolRegistry.getVendorSyntax(op.symbol, vendor);
+      input = this.replaceSymbol(input, op, vendorSyntax, vendor);
+    }
+    
+    // Apply vendor-specific post-processing
+    return this.applyVendorPostProcessing(input, vendor);
+  }
+  
+  /**
+   * Transform vendor-specific format to universal symbolic syntax
+   */
+  toUniversalFormat(
+    input: string,
+    vendorType: VendorType | 'auto' = 'auto',
+    options: TransformOptions = {}
+  ): string {
+    // Auto-detect vendor if not specified
+    const vendor = vendorType === 'auto' 
+      ? this.modelDetector.detectVendorSync(input) 
+      : vendorType;
+    
+    // Extract vendor-specific operations
+    const vendorOperations = this.extractVendorOperations(input, vendor);
+    
+    // Transform each operation to universal format
+    for (const op of vendorOperations) {
+      const universalSymbol = this.symbolRegistry.getUniversalSymbol(op.vendorSymbol, vendor);
+      input = this.replaceVendorSymbol(input, op, universalSymbol, vendor);
+    }
+    
+    // Apply universal format post-processing
+    return this.applyUniversalPostProcessing(input);
+  }
+  
+  // Additional helper methods...
+}
+```
+
+## 4. Universal Symbolic Syntax Schema
+
+The following schema defines the universal symbolic syntax that forms the basis of the runtime:
+
+```yaml
+# schema/universal-syntax.yml
+
+syntax:
+  version: "1.0.0"
+  
+  command_patterns:
+    - pattern: "/domain.operation{params}"
+      example: "/think.trace{depth: 2, format: 'detailed'}"
+      description: "Full command with parameters"
+    
+    - pattern: "/domain.operation"
+      example: "/think.trace"
+      description: "Command without parameters"
+    
+    - pattern: "/operation"
+      example: "/think"
+      description: "Simplified operation without domain"
+  
+  glyph_patterns:
+    - pattern: "🔍/{params}"
+      example: "🔍/{depth: 2}"
+      description: "Command glyph with parameters"
+    
+    - pattern: "🔍/"
+      example: "🔍/"
+      description: "Command glyph without parameters"
+    
+    - pattern: "🜏"
+      example: "🜏"
+      description: "Runtime glyph (concise)"
+  
+  parameter_formats:
+    object:
+      pattern: "{key1: value1, key2: value2}"
+      description: "Object parameter format"
+    
+    simplified:
+      pattern: ":value"
+      description: "Simplified single parameter format"
+    
+    named:
+      pattern: ":param=value"
+      description: "Named parameter format"
+  
+  composition:
+    chaining:
+      pattern: "/op1 | /op2"
+      description: "Chain operations with pipe"
+    
+    nesting:
+      pattern: "/op1{/op2}"
+      description: "Nest operations within parameters"
+```
+
+## 5. API Architecture
+
+The Universal Symbolics API provides a clean, consistent interface for developers:
+
+```typescript
+// universal-symbolics/src/api/index.ts
+
+export class UniversalSymbolics {
+  private transformer: GrammarTransformer;
+  private runtime: SymbolicsRuntime;
+  private telemetry: TelemetrySystem;
+  
+  constructor(options: SymbolicsOptions = {}) {
+    this.transformer = new GrammarTransformer(options.transformer);
+    this.runtime = new SymbolicsRuntime(options.runtime);
+    this.telemetry = new TelemetrySystem(options.telemetry);
+  }
+  
+  /**
+   * Execute a symbolic operation directly
+   */
+  async execute(
+    operation: string,
+    params: Record<string, any> = {},
+    options: ExecuteOptions = {}
+  ): Promise<SymbolicResult> {
+    // Track operation telemetry
+    this.telemetry.trackOperation(operation, params);
+    
+    // Parse operation
+    const { domain, action } = this.parseOperation(operation);
+    
+    // Get domain executor
+    const executor = this.runtime.getDomainExecutor(domain);
+    
+    // Execute operation
+    const result = await executor.execute(action, params, options);
+    
+    // Track operation result
+    this.telemetry.trackResult(operation, result);
+    
+    return result;
+  }
+  
+  /**
+   * Transform content containing symbolic operations
+   */
+  async transform(
+    content: string,
+    targetVendor: VendorType | 'auto' = 'auto',
+    options: TransformOptions = {}
+  ): Promise<TransformResult> {
+    // Track transformation telemetry
+    this.telemetry.trackTransformation(content, targetVendor);
+    
+    // Execute transformation
+    const transformed = await this.transformer.toVendorFormat(
+      content,
+      targetVendor,
+      options
+    );
+    
+    return {
+      original: content,
+      transformed,
+      targetVendor: targetVendor === 'auto' 
+        ? await this.transformer.modelDetector.detectVendor(content)
+        : targetVendor,
+      operations: this.transformer.extractSymbolicOperations(content)
+    };
+  }
+  
+  /**
+   * Reverse transform from vendor-specific to universal format
+   */
+  reverseTransform(
+    content: string,
+    sourceVendor: VendorType | 'auto' = 'auto',
+    options: TransformOptions = {}
+  ): ReverseTransformResult {
+    // Execute reverse transformation
+    const transformed = this.transformer.toUniversalFormat(
+      content,
+      sourceVendor,
+      options
+    );
+    
+    return {
+      original: content,
+      transformed,
+      sourceVendor: sourceVendor === 'auto'
+        ? this.transformer.modelDetector.detectVendorSync(content)
+        : sourceVendor,
+      operations: this.transformer.extractVendorOperations(content, sourceVendor)
+    };
+  }
+  
+  /**
+   * Get domain-specific operations
+   */
+  get think() { return this.createDomainProxy('think'); }
+  get reflect() { return this.createDomainProxy('reflect'); }
+  get collapse() { return this.createDomainProxy('collapse'); }
+  get fork() { return this.createDomainProxy('fork'); }
+  get shell() { return this.createDomainProxy('shell'); }
+  get inject() { return this.createDomainProxy('inject'); }
+  get anchor() { return this.createDomainProxy('anchor'); }
+  get align() { return this.createDomainProxy('align'); }
+  // Additional domains...
+  
+  // Helper to create domain-specific operation proxies
+  private createDomainProxy(domain: string) {
+    return new Proxy({}, {
+      get: (_, action: string) => {
+        return (params = {}, options = {}) => 
+          this.execute(`${domain}.${action}`, params, options);
+      }
+    });
+  }
+}
+```
+
+## 6. Symbolic Runtime Operations Registry
+
+The complete list of supported symbolic operations:
+
+```yaml
+# registry/operations.yml
+
+operations:
+  think:
+    core:
+      description: "Core thinking operation"
+      parameters:
+        depth: "Thinking depth (1-5)"
+        format: "Output format (text, structured, detailed)"
+      returns: "Explicit reasoning trace"
+    
+    trace:
+      description: "Trace reasoning pathways"
+      parameters:
+        steps: "Number of steps to trace"
+        focus: "Area of focus for tracing"
+      returns: "Step-by-step reasoning trace"
+    
+    analyze:
+      description: "Analyze specific elements"
+      parameters:
+        target: "Target of analysis"
+        framework: "Analysis framework to use"
+      returns: "Detailed analysis"
+  
+  reflect:
+    core:
+      description: "Core reflection operation"
+      parameters:
+        target: "Target of reflection"
+        depth: "Reflection depth (1-5)"
+      returns: "Self-examination results"
+    
+    process:
+      description: "Reflect on processing"
+      parameters:
+        stage: "Processing stage to reflect on"
+      returns: "Processing reflection"
+    
+    attention:
+      description: "Reflect on attention"
+      parameters:
+        focus: "Area of focus"
+      returns: "Attention patterns"
+  
+  collapse:
+    detect:
+      description: "Detect potential issues"
+      parameters:
+        triggers: "Issue triggers to look for"
+        threshold: "Detection threshold (0-1)"
+      returns: "Detection results"
+    
+    recover:
+      description: "Recover from issues"
+      parameters:
+        strategy: "Recovery strategy"
+      returns: "Recovery results"
+    
+    stabilize:
+      description: "Stabilize processing"
+      parameters:
+        method: "Stabilization method"
+      returns: "Stabilization results"
+  
+  fork:
+    create:
+      description: "Create processing fork"
+      parameters:
+        paths: "Paths to explore"
+        weights: "Path weights"
+      returns: "Fork results"
+    
+    select:
+      description: "Select best path"
+      parameters:
+        criterion: "Selection criterion"
+      returns: "Selected path"
+    
+    merge:
+      description: "Merge forked paths"
+      parameters:
+        strategy: "Merge strategy"
+      returns: "Merged results"
+  
+  # Additional domains and operations...
+```
+
+## 7. Model Capability Detection System
+
+The Capability Detection System enables adaptive behavior based on vendor capabilities:
+
+```typescript
+// universal-symbolics/src/detection/capabilities.ts
+
+export class CapabilityProbe {
+  private capabilityCache: Map<VendorType, VendorCapabilities>;
+  private enabled: boolean;
+  
+  constructor(enabled: boolean = true) {
+    this.capabilityCache = new Map();
+    this.enabled = enabled;
+  }
+  
+  /**
+   * Probe vendor for supported symbolic capabilities
+   */
+  async probeVendor(
+    vendor: VendorType, 
+    forceRefresh: boolean = false
+  ): Promise<VendorCapabilities> {
+    // Return cached capabilities if available
+    if (!forceRefresh && this.capabilityCache.has(vendor)) {
+      return this.capabilityCache.get(vendor)!;
+    }
+    
+    if (!this.enabled) {
+      // Return default capabilities if probing is disabled
+      return this.getDefaultCapabilities(vendor);
+    }
+    
+    try {
+      // Probe capabilities based on vendor type
+      const capabilities = await this.executeProbe(vendor);
+      this.capabilityCache.set(vendor, capabilities);
+      return capabilities;
+    } catch (error) {
+      console.warn(`Failed to probe capabilities for ${vendor}:`, error);
+      // Fall back to default capabilities
+      return this.getDefaultCapabilities(vendor);
+    }
+  }
+  
+  /**
+   * Execute capability probe for specific vendor
+   */
+  private async executeProbe(vendor: VendorType): Promise<VendorCapabilities> {
+    // Create probing strategy for vendor
+    const strategy = this.createProbeStrategy(vendor);
+    
+    // Execute probes in sequence
+    const results = await Promise.all([
+      strategy.probeCore(),
+      strategy.probeReflection(),
+      strategy.probeTracing(),
+      strategy.probeForking(),
+      strategy.probeCollapse()
+    ]);
+    
+    // Compile capabilities
+    return {
+      vendor,
+      timestamp: Date.now(),
+      core: results[0],
+      reflection: results[1],
+      tracing: results[2],
+      forking: results[3],
+      collapse: results[4],
+      // Additional capability areas...
+    };
+  }
+  
+  /**
+   * Create vendor-specific probe strategy
+   */
+  private createProbeStrategy(vendor: VendorType): ProbeStrategy {
+    switch (vendor) {
+      case 'claude':
+        return new ClaudeProbeStrategy();
+      case 'openai':
+        return new OpenAIProbeStrategy();
+      case 'gemini':
+        return new GeminiProbeStrategy();
+      case 'qwen':
+        return new QwenProbeStrategy();
+      case 'mistral':
+        return new MistralProbeStrategy();
+      default:
+        return new GenericProbeStrategy();
+    }
+  }
+  
+  /**
+   * Get default capabilities for vendor
+   */
+  private getDefaultCapabilities(vendor: VendorType): VendorCapabilities {
+    // Return predefined capabilities based on vendor
+    switch (vendor) {
+      case 'claude':
+        return CLAUDE_DEFAULT_CAPABILITIES;
+      case 'openai':
+        return OPENAI_DEFAULT_CAPABILITIES;
+      case 'gemini':
+        return GEMINI_DEFAULT_CAPABILITIES;
+      case 'qwen':
+        return QWEN_DEFAULT_CAPABILITIES;
+      case 'mistral':
+        return MISTRAL_DEFAULT_CAPABILITIES;
+      default:
+        return GENERIC_DEFAULT_CAPABILITIES;
+    }
+  }
+}
+```
+
+## 8. Vendor Adapter System
+
+The Vendor Adapter System provides model-specific optimizations:
+
+```typescript
+// universal-symbolics/src/vendors/index.ts
+
+export abstract class VendorAdapter {
+  protected options: VendorAdapterOptions;
+  
+  constructor(options: VendorAdapterOptions = {}) {
+    this.options = options;
+  }
+  
+  abstract transformToVendor(
+    input: string, 
+    operations: SymbolicOperation[]
+  ): string;
+  
+  abstract transformFromVendor(
+    input: string
+  ): { content: string; operations: VendorOperation[] };
+  
+  abstract executeOperation(
+    operation: string,
+    params: Record<string, any>,
+    options: ExecuteOptions
+  ): Promise<SymbolicResult>;
+}
+
+export class ClaudeAdapter extends VendorAdapter {
+  transformToVendor(
+    input: string, 
+    operations: SymbolicOperation[]
+  ): string {
+    let result = input;
+    
+    for (const op of operations) {
+      const { domain, action, params } = op;
+      
+      // Convert to Claude XML syntax
+      let xmlTag = '';
+      switch (`${domain}.${action}`) {
+        case 'think.core':
+          xmlTag = 'think';
+          break;
+        case 'reflect.core':
+          xmlTag = 'reflect';
+          break;
+        case 'reflect.attention':
+          xmlTag = 'attention';
+          break;
+        // Map other operations to XML tags
+        default:
+          xmlTag = this.getDefaultXmlTag(domain, action);
+      }
+      
+      // Replace symbol with XML tag
+      result = this.replaceWithXml(result, op, xmlTag, params);
+    }
+    
+    return result;
+  }
+  
+  transformFromVendor(input: string): { 
+    content: string; 
+    operations: VendorOperation[] 
+  } {
+    const operations: VendorOperation[] = [];
+    let content = input;
+    
+    // Extract XML tags
+    const xmlTagRegex = /<(\w+)(?:\s+([^>]*))?>([\s\S]*?)<\/\1>/g;
+    let match;
+    
+    while ((match = xmlTagRegex.exec(input)) !== null) {
+      const [full, tag, attrsStr, innerContent] = match;
+      
+      // Parse attributes if present
+      const attrs = attrsStr ? this.parseXmlAttributes(attrsStr) : {};
+      
+      // Map XML tag to universal operation
+      const { domain, action } = this.mapXmlTagToOperation(tag);
+      
+      operations.push({
+        vendorSymbol: tag,
+        domain,
+        action,
+        params: attrs,
+        content: innerContent,
+        position: {
+          start: match.index,
+          end: match.index + full.length
+        }
+      });
+      
+      // Replace XML tag with placeholder
+      content = content.replace(
+        full, 
+        `[SYMBOLIC:${operations.length - 1}]`
+      );
+    }
+    
+    return { content, operations };
+  }
+  
+  async executeOperation(
+    operation: string,
+    params: Record<string, any>,
+    options: ExecuteOptions
+  ): Promise<SymbolicResult> {
+    // Implementation for Claude-specific execution
+    // ...
+  }
+  
+  // Helper methods
+  private getDefaultXmlTag(domain: string, action: string): string {
+    // Default mapping strategy
+    return `${domain}_${action}`;
+  }
+  
+  private replaceWithXml(
+    content: string, 
+    operation: SymbolicOperation,
+    tag: string,
+    params: Record<string, any>
+  ): string {
+    // Implementation for XML replacement
+    // ...
+  }
+  
+  private parseXmlAttributes(attrs: string): Record<string, any> {
+    // Parse XML attributes
+    // ...
+  }
+  
+  private mapXmlTagToOperation(
+    tag: string
+  ): { domain: string; action: string } {
+    // Map XML tag to operation
+    // ...
+  }
+}
+
+// Additional adapter implementations for other vendors
+export class OpenAIAdapter extends VendorAdapter { /* ... */ }
+export class GeminiAdapter extends VendorAdapter { /* ... */ }
+export class QwenAdapter extends VendorAdapter { /* ... */ }
+export class MistralAdapter extends VendorAdapter { /* ... */ }
+```
+
+## 9. Residue Parser System
+
+The Residue Parser System extracts and processes symbolic residue:
+
+```typescript
+// universal-symbolics/src/parsers/residue.ts
+
+export class ResidueParser {
+  private registry: ResiduePatternRegistry;
+  
+  constructor() {
+    this.registry = new ResiduePatternRegistry();
+  }
+  
+  /**
+   * Extract symbolic residue from model output
+   */
+  extractResidue(
+    content: string,
+    vendor: VendorType,
+    options: ResidueOptions = {}
+  ): ResidueResult {
+    // Get vendor-specific patterns
+    const patterns = this.registry.getPatternsForVendor(vendor);
+    
+    const residueInstances: ResidueInstance[] = [];
+    
+    // Apply each pattern
+    for (const pattern of patterns) {
+      const matches = this.findPatternMatches(content, pattern);
+      
+      for (const match of matches) {
+        residueInstances.push({
+          type: pattern.type,
+          subtype: pattern.subtype,
+          content: match.content,
+          position: match.position,
+          confidence: this.calculateConfidence(match, pattern),
+          metadata: this.extractMetadata(match, pattern)
+        });
+      }
+    }
+    
+    // Process and classify residue
+    return this.processResidue(residueInstances, options);
+  }
+  
+  /**
+   * Find matches for a specific residue pattern
+   */
+  private findPatternMatches(
+    content: string,
+    pattern: ResiduePattern
+  ): PatternMatch[] {
+    const matches: PatternMatch[] = [];
+    
+    // Apply regex pattern
+    const regex = new RegExp(pattern.regex, 'g');
+    let match;
+    
+    while ((match = regex.exec(content)) !== null) {
+      matches.push({
+        content: match[0],
+        groups: match.groups || {},
+        position: {
+          start: match.index,
+          end: match.index + match[0].length
+        }
+      });
+    }
+    
+    return matches;
+  }
+  
+  /**
+   * Calculate confidence score for a residue match
+   */
+  private calculateConfidence(
+    match: PatternMatch,
+    pattern: ResiduePattern
+  ): number {
+    // Calculate base confidence
+    let confidence = pattern.baseConfidence || 0.7;
+    
+    // Apply modifiers based on pattern characteristics
+    if (pattern.confidenceModifiers) {
+      for (const modifier of pattern.confidenceModifiers) {
+        if (modifier.condition(match)) {
+          confidence *= modifier.factor;
+        }
+      }
+    }
+    
+    return Math.min(1, Math.max(0, confidence));
+  }
+  
+  /**
+   * Extract metadata from residue match
+   */
+  private extractMetadata(
+    match: PatternMatch,
+    pattern: ResiduePattern
+  ): Record<string, any> {
+    const metadata: Record<string, any> = {};
+    
+    // Extract metadata based on pattern
+    if (pattern.metadataExtractors) {
+      for (const [key, extractor] of Object.entries(pattern.metadataExtractors)) {
+        metadata[key] = extractor(match);
+      }
+    }
+    
+    return metadata;
+  }
+  
+  /**
+   * Process and classify extracted residue
+   */
+  private processResidue(
+    instances: ResidueInstance[],
+    options: ResidueOptions
+  ): ResidueResult {
+    // Filter by confidence threshold
+    const threshold = options.confidenceThreshold || 0.5;
+    const filtered = instances.filter(inst => inst.confidence >= threshold);
+    
+    // Group by type
+    const byType = this.groupByType(filtered);
+    
+    // Calculate summary statistics
+    const statistics = this.calculateStatistics(filtered);
+    
+    return {
+      instances: filtered,
+      byType,
+      statistics,
+      vendorFingerprint: this.generateVendorFingerprint(filtered)
+    };
+  }
+  
+  // Additional helper methods...
+}
+```
+
+## 10. Global Telemetry System
+
+The Global Telemetry System measures symbolic usage patterns and adoption metrics:
+
+```typescript
+// universal-symbolics/src/telemetry/index.ts
+
+export class TelemetrySystem {
+  private options: TelemetryOptions;
+  private metrics: TelemetryMetrics;
+  private reportingEndpoint?: string;
+  
+  constructor(options: TelemetryOptions = {}) {
+    this.options = {
+      enabled: options.enabled ?? false,
+      anonymize: options.anonymize ?? true,
+      reportingInterval: options.reportingInterval ?? 3600000, // 1 hour
+      ...options
+    };
+    
+    this.reportingEndpoint = options.reportingEndpoint;
+    
+    this.metrics = {
+      operations: new Map(),
+      vendors: new Map(),
+      transformations: new Map(),
+      errors: new Map(),
+      residue: new Map(),
+      usageTimestamps: []
+    };
+    
+    // Schedule periodic reporting if enabled
+    if (this.options.enabled && this.reportingEndpoint) {
+      this.scheduleReporting();
+    }
+  }
+  
+  /**
+   * Track symbolic operation usage
+   */
+  trackOperation(
+    operation: string, 
+    params: Record<string, any> = {}
+  ): void {
+    if (!this.options.enabled) return;
+    
+    // Increment operation count
+    const count = (this.metrics.operations.get(operation) || 0) + 1;
+    this.metrics.operations.set(operation, count);
+    
+    // Record timestamp
+    this.metrics.usageTimestamps.push(Date.now());
+    
+    // Prune old timestamps
+    this.pruneTimestamps();
+  }
+  
+  /**
+   * Track operation result
+   */
+  trackResult(
+    operation: string,
+    result: SymbolicResult
+  ): void {
+    if (!this.options.enabled) return;
+    
+    // Track successful/failed operations
+    if (result.success) {
+      const key = `${operation}.success`;
+      const count = (this.metrics.operations.get(key) || 0) + 1;
+      this.metrics.operations.set(key, count);
+    } else {
+      const key = `${operation}.error`;
+      const count = (this.metrics.operations.get(key) || 0) + 1;
+      this.metrics.operations.set(key, count);
+      
+      // Track error types
+      if (result.error) {
+        const errorType = result.error.type || 'unknown';
+        const count = (this.metrics.errors.get(errorType) || 0) + 1;
+        this.metrics.errors.set(errorType, count);
+      }
+    }
+  }
+  
+  /**
+   * Track vendor usage
+   */
+  trackVendor(vendor: VendorType): void {
+    if (!this.options.enabled) return;
+    
+    // Increment vendor usage count
+    const count = (this.metrics.vendors.get(vendor) || 0) + 1;
+    this.metrics.vendors.set(vendor, count);
+  }
+  
+  /**
+   * Track transformation operations
+   */
+  trackTransformation(
+    content: string,
+    targetVendor: VendorType | 'auto'
+  ): void {
+    if (!this.options.enabled) return;
+    
+    // Increment transformation count
+    const key = targetVendor === 'auto' ? 'auto' : targetVendor;
+    const count = (this.metrics.transformations.get(key) || 0) + 1;
+    this.metrics.transformations.set(key, count);
+  }
+  
+  /**
+   * Track residue detection
+   */
+  trackResidue(
+    residueType: string,
+    vendor: VendorType
+  ): void {
+    if (!this.options.enabled) return;
+    
+    // Increment residue count
+    const key = `${vendor}.${residueType}`;
+    const count = (this.metrics.residue.get(key) || 0) + 1;
+    this.metrics.residue.set(key, count);
+  }
+  
+  /**
+   * Get current metrics
+   */
+  getMetrics(): TelemetryReport {
+    return {
+      timestamp: Date.now(),
+      operations: Object.fromEntries(this.metrics.operations),
+      vendors: Object.fromEntries(this.metrics.vendors),
+      transformations: Object.fromEntries(this.metrics.transformations),
+      errors: Object.fromEntries(this.metrics.errors),
+      residue: Object.fromEntries(this.metrics.residue),
+      activeUsersLastHour: this.countRecentUsage(3600000), // 1 hour
+      activeUsersLastDay: this.countRecentUsage(86400000)  // 24 hours
+    };
+  }
+  
+  /**
+   * Report telemetry data to remote endpoint
+   */
+  async reportTelemetry(): Promise<boolean> {
+    if (!this.options.enabled || !this.reportingEndpoint) {
+      return false;
+    }
+    
+    try {
+      const report = this.getMetrics();
+      
+      // Anonymize if required
+      const payload = this.options.anonymize ? 
+        this.anonymizeReport(report) : report;
+      
+      // Send to reporting endpoint
+      const response = await

universal-translator.md

@@ -0,0 +1,292 @@
+# Universal Developer Command Translation Matrix
+
+This document provides a comprehensive translation table for mapping universal symbolic commands to platform-specific implementations. The matrix shows how each command is transformed for different LLM providers, ensuring consistent behavior across all platforms.
+
+## Translation Architecture
+
+Each symbolic command follows this translation flow:
+
+```
+User Input → Command Parser → Platform Adapter → Provider-Specific API → Response
+```
+
+The platform adapter handles the transformation of universal commands into provider-specific API calls, system prompts, and parameters.
+
+## Core Command Translations
+
+### `/think` Command
+
+| Provider | Implementation Method | Parameters | System Prompt Transformation |
+|----------|----------------------|------------|------------------------------|
+| **Claude** | Native thinking mode | `enable_thinking: true`<br>`temperature: -0.2` | "Please think step-by-step through this problem, considering multiple perspectives and potential approaches. Take your time to develop a comprehensive understanding before providing your final answer." |
+| **OpenAI** | System prompt engineering | `temperature: -0.2`<br>`top_p: 0.8` | "When responding to this query, please use the following approach:<br>1. Take a deep breath and think step-by-step<br>2. Break down complex aspects into simpler components<br>3. Consider multiple perspectives and approaches<br>4. Identify potential misconceptions or errors<br>5. Synthesize your analysis into a comprehensive response<br>6. Structure your thinking visibly" |
+| **Gemini** | System prompt + parameters | `temperature: -0.2`<br>`top_k: 40` | "Think carefully and methodically about this question. Break it down into components, consider different angles, and work through the logical implications of each part before synthesizing a complete answer." |
+| **Qwen3** | Native thinking mode | append `/think` to prompt | "Please provide a thorough, step-by-step analysis of this question, considering multiple perspectives and weighing the evidence carefully." |
+| **Ollama** | System prompt | `temperature: -0.2` | "Think carefully and methodically. Break down the problem into steps, consider multiple perspectives, and be thorough in your analysis." |
+| **vLLM** | System prompt | `temperature: -0.2` | "Please employ an analytical, step-by-step approach to this question. Examine different perspectives before reaching a conclusion." |
+| **LMStudio** | System prompt | `temperature: -0.2`<br>`top_p: 0.8` | "Take your time to analyze this thoroughly. Break down complex aspects, consider multiple viewpoints, and show your reasoning process." |
+
+### `/fast` Command
+
+| Provider | Implementation Method | Parameters | System Prompt Transformation |
+|----------|----------------------|------------|------------------------------|
+| **Claude** | Disable thinking + system prompt | `enable_thinking: false`<br>`temperature: +0.1`<br>`max_tokens: 1024` | "Please provide a brief, direct response to this question. Focus on the most important information and keep your answer concise and to the point." |
+| **OpenAI** | System prompt + parameters | `temperature: +0.1`<br>`max_tokens: 1024`<br>`presence_penalty: 1.0`<br>`frequency_penalty: 1.0` | "Please provide a concise, direct response. Focus only on the most essential information needed to answer the query. Keep explanations minimal and prioritize brevity over comprehensiveness." |
+| **Gemini** | System prompt + parameters | `temperature: +0.1`<br>`max_tokens: 1024` | "Keep your response brief and to the point. Focus only on the most essential information, avoiding unnecessary details or elaboration." |
+| **Qwen3** | Native fast mode | append `/no_think` to prompt | "Provide a brief, straightforward answer. Focus only on the key information without elaboration." |
+| **Ollama** | System prompt + parameters | `temperature: +0.1`<br>`max_tokens: 1024` | "Be brief and direct. Provide only the essential information without elaboration." |
+| **vLLM** | System prompt + parameters | `temperature: +0.1`<br>`max_tokens: 1024` | "Give a concise, direct answer focusing only on the key information requested." |
+| **LMStudio** | System prompt + parameters | `temperature: +0.1`<br>`max_tokens: 1024` | "Be concise and direct. Provide only the essential information to answer the question." |
+
+### `/loop` Command
+
+| Provider | Implementation Method | Parameters | System Prompt Transformation |
+|----------|----------------------|------------|------------------------------|
+| **Claude** | System prompt with iteration instructions | Default iterations: 3<br>Custom: `iterations=n` | "Please approach this task using an iterative process. Follow these steps:<br>1. Develop an initial response to the prompt.<br>2. Critically review your response, identifying areas for improvement.<br>3. Create an improved version based on your critique.<br>4. Repeat steps 2-3 for a total of {iterations} iterations.<br>5. Present your final response, which should reflect the accumulated improvements.<br>Show all iterations in your response, clearly labeled." |
+| **OpenAI** | System prompt with iteration instructions | Default iterations: 3<br>Custom: `iterations=n` | "Please approach this task using an iterative refinement process with {iterations} cycles:<br>1. Initial Version: Create your first response<br>2. Critical Review: Analyze the strengths and weaknesses<br>3. Improved Version: Create an enhanced version<br>4. Repeat steps 2-3 for each iteration<br>5. Final Version: Provide your most refined response<br>Clearly label each iteration." |
+| **Gemini** | System prompt with iteration instructions | Default iterations: 3<br>Custom: `iterations=n` | "Use an iterative improvement process with {iterations} rounds of refinement. For each round: (1) Review your previous work, (2) Identify areas for improvement, (3) Create an enhanced version. Show all iterations, clearly labeled." |
+| **Qwen3** | System prompt with iteration instructions | Default iterations: 3<br>Custom: `iterations=n` | "Please use an iterative approach with {iterations} refinement cycles:<br>1. Initial response<br>2. Critical review<br>3. Improvement<br>4. Repeat steps 2-3 for a total of {iterations} iterations<br>5. Present your final response with all iterations clearly labeled" |
+| **Ollama** | System prompt with iteration instructions | Default iterations: 3<br>Custom: `iterations=n` | "Use an iterative approach with {iterations} cycles. For each cycle: review your work, identify improvements, then create a better version. Show all iterations." |
+| **vLLM** | System prompt with iteration instructions | Default iterations: 3<br>Custom: `iterations=n` | "Follow an iterative improvement process with {iterations} cycles. For each cycle, review your previous work and create an improved version." |
+| **LMStudio** | System prompt with iteration instructions | Default iterations: 3<br>Custom: `iterations=n` | "Use an iterative approach with {iterations} rounds of improvement. For each round, critique your work and create a better version. Show all iterations." |
+
+### `/reflect` Command
+
+| Provider | Implementation Method | Parameters | System Prompt Transformation |
+|----------|----------------------|------------|------------------------------|
+| **Claude** | Thinking mode + system prompt | `enable_thinking: true`<br>`temperature: -0.1` | "For this response, I'd like you to engage in two distinct phases:<br>1. First, respond to the user's query directly.<br>2. Then, reflect on your own response by considering:<br>   - What assumptions did you make in your answer?<br>   - What perspectives or viewpoints might be underrepresented?<br>   - What limitations exist in your approach or knowledge?<br>   - How might your response be improved or expanded?<br>Clearly separate these two phases in your response." |
+| **OpenAI** | System prompt | `temperature: -0.1` | "For this query, please structure your response in two distinct parts:<br><br>PART 1: DIRECT RESPONSE<br>Provide your primary answer to the user's query.<br><br>PART 2: META-REFLECTION<br>Then, engage in critical reflection on your own response by addressing:<br>- What assumptions did you make in your answer?<br>- What alternative perspectives might be valid?<br>- What are the limitations of your response?<br>- How might your response be improved?<br>- What cognitive biases might have influenced your thinking?<br><br>Make sure both parts are clearly labeled and distinguishable." |
+| **Gemini** | System prompt | `temperature: -0.1` | "Please provide your response in two parts: First, directly answer the question. Then, in a separate section labeled 'Meta-Reflection,' critically analyze your own response by examining assumptions, considering alternative viewpoints, acknowledging limitations, and suggesting potential improvements." |
+| **Qwen3** | Native thinking + system prompt | append `/think` to prompt | "For this response, please:<br>1. Answer the query directly<br>2. Then reflect on your answer by analyzing:<br>   - Assumptions made<br>   - Alternative perspectives<br>   - Limitations in your approach<br>   - Potential improvements" |
+| **Ollama** | System prompt | `temperature: -0.1` | "Provide a two-part response: 1) Answer the question directly, 2) Reflect critically on your own answer, examining assumptions, biases, limitations, and potential improvements." |
+| **vLLM** | System prompt | `temperature: -0.1` | "Give your response in two sections: (1) Your direct answer, and (2) A reflection on your answer that examines assumptions, limitations, and alternative viewpoints." |
+| **LMStudio** | System prompt | `temperature: -0.1` | "Please answer in two parts: First, directly address the question. Second, reflect on your own answer by examining your assumptions, biases, and the limitations of your response." |
+
+### `/fork` Command
+
+| Provider | Implementation Method | Parameters | System Prompt Transformation |
+|----------|----------------------|------------|------------------------------|
+| **Claude** | System prompt for alternatives | Default count: 2<br>Custom: `count=n`<br>`temperature: +0.2` | "Please provide {count} distinct alternative responses to this prompt. These alternatives should represent fundamentally different approaches or perspectives, not minor variations. Label each alternative clearly." |
+| **OpenAI** | System prompt for alternatives | Default count: 2<br>Custom: `count=n`<br>`temperature: +0.2` | "Please provide {count} substantively different responses to this prompt. Each alternative should represent a different approach, perspective, or framework. Clearly label each alternative (e.g., \"Alternative 1\", \"Alternative 2\", etc.)." |
+| **Gemini** | System prompt for alternatives | Default count: 2<br>Custom: `count=n`<br>`temperature: +0.2` | "Generate {count} distinctly different approaches or perspectives on this prompt. Each alternative should represent a substantially different way of thinking about the question. Label each alternative clearly." |
+| **Qwen3** | System prompt for alternatives | Default count: 2<br>Custom: `count=n`<br>`temperature: +0.2` | "Please provide {count} distinct alternative responses to this prompt, representing different approaches or perspectives. Label each alternative clearly." |
+| **Ollama** | System prompt for alternatives | Default count: 2<br>Custom: `count=n`<br>`temperature: +0.2` | "Generate {count} different approaches to this prompt. Make each approach genuinely distinct, not just minor variations. Label each approach clearly." |
+| **vLLM** | System prompt for alternatives | Default count: 2<br>Custom: `count=n`<br>`temperature: +0.2` | "Provide {count} different perspectives or approaches to this prompt. Label each alternative clearly." |
+| **LMStudio** | System prompt for alternatives | Default count: 2<br>Custom: `count=n`<br>`temperature: +0.2` | "Generate {count} distinctly different responses to this prompt. Each should take a different approach or perspective. Label each alternative clearly." |
+
+### `/collapse` Command
+
+| Provider | Implementation Method | Parameters | System Prompt Transformation |
+|----------|----------------------|------------|------------------------------|
+| **Claude** | Return to default behavior | Reset all parameters to defaults | Original system prompt or empty if none provided |
+| **OpenAI** | Return to default behavior | Reset all parameters to defaults | Original system prompt or empty if none provided |
+| **Gemini** | Return to default behavior | Reset all parameters to defaults | Original system prompt or empty if none provided |
+| **Qwen3** | Return to default behavior | append `/no_think` to prompt | Original system prompt or empty if none provided |
+| **Ollama** | Return to default behavior | Reset all parameters to defaults | Original system prompt or empty if none provided |
+| **vLLM** | Return to default behavior | Reset all parameters to defaults | Original system prompt or empty if none provided |
+| **LMStudio** | Return to default behavior | Reset all parameters to defaults | Original system prompt or empty if none provided |
+
+## Advanced Command Translations
+
+### `/format` Command
+
+| Provider | Implementation Method | Parameters | Example Translation |
+|----------|----------------------|------------|---------------------|
+| **Claude** | System prompt | Default style: markdown<br>Options: json, html, csv, text | **JSON format**: "Please format your entire response as a valid JSON object. Do not include any explanatory text outside of the JSON structure." |
+| **OpenAI** | Response format parameter + system prompt | Default style: markdown<br>Options: json, html, csv, text | **JSON format**: Set `response_format: { "type": "json_object" }` + system prompt guidance |
+| **Gemini** | System prompt | Default style: markdown<br>Options: json, html, csv, text | **JSON format**: "Format your entire response as a valid JSON object without any text outside the JSON structure." |
+| **Qwen3** | System prompt | Default style: markdown<br>Options: json, html, csv, text | **JSON format**: "Please provide your entire response as a valid JSON object. Do not include any text outside the JSON structure." |
+| **Ollama** | System prompt | Default style: markdown<br>Options: json, html, csv, text | **JSON format**: "Format your entire response as valid JSON without any additional text." |
+| **vLLM** | System prompt | Default style: markdown<br>Options: json, html, csv, text | **JSON format**: "Format your response exclusively as a JSON object with no additional explanation." |
+| **LMStudio** | System prompt | Default style: markdown<br>Options: json, html, csv, text | **JSON format**: "Return your entire response as a valid JSON object. Do not include any text outside of the JSON." |
+
+### `/expert` Command
+
+| Provider | Implementation Method | Parameters | Example Translation |
+|----------|----------------------|------------|---------------------|
+| **Claude** | System prompt | `domain=string`<br>`level=1-5` | "Please respond as an expert in {domain} with a deep level of knowledge and experience (level {level}/5). Use appropriate terminology, frameworks, and approaches that would be expected of someone with significant expertise in this field." |
+| **OpenAI** | System prompt | `domain=string`<br>`level=1-5` | "You are an expert in {domain} with a proficiency level of {level} out of 5. Respond using appropriate domain-specific terminology, recognized frameworks, and expert insights that demonstrate your deep understanding of the field." |
+| **Gemini** | System prompt | `domain=string`<br>`level=1-5` | "Respond as a {level}/5 level expert in {domain}. Use domain-specific terminology, frameworks, and approaches that demonstrate expertise in this field." |
+| **Qwen3** | System prompt | `domain=string`<br>`level=1-5` | "Please respond as an expert in {domain} (level {level}/5). Use appropriate terminology and expert approaches to address this question." |
+| **Ollama** | System prompt | `domain=string`<br>`level=1-5` | "You are a level {level}/5 expert in {domain}. Respond using appropriate terminology and expert knowledge." |
+| **vLLM** | System prompt | `domain=string`<br>`level=1-5` | "Respond as an expert in {domain} with level {level}/5 expertise. Use appropriate technical terminology and insights." |
+| **LMStudio** | System prompt | `domain=string`<br>`level=1-5` | "You are an expert in {domain} (level {level}/5). Respond with depth and precision appropriate to your expertise level." |
+
+## Command Implementation Details
+
+### System Prompt Pre-Processing
+
+For each command, the system prompt is constructed using this algorithm:
+
+```javascript
+function buildSystemPrompt(command, parameters, originalSystemPrompt) {
+  const basePrompt = commands[command].getSystemPrompt(parameters);
+  
+  if (!originalSystemPrompt) {
+    return basePrompt;
+  }
+  
+  // For some commands like /collapse, we want to preserve only the original prompt
+  if (command === 'collapse') {
+    return originalSystemPrompt;
+  }
+  
+  // For others, we combine both with the command-specific prompt taking precedence
+  return `${originalSystemPrompt}\n\n${basePrompt}`;
+}
+```
+
+### Parameter Transformation
+
+Parameters are transformed to match provider-specific APIs:
+
+```javascript
+function transformParameters(command, parameters, provider) {
+  const baseParams = { ...defaultParameters[provider] };
+  const commandParams = commandParameters[command][provider];
+  
+  // Apply command-specific parameter adjustments
+  for (const [key, value] of Object.entries(commandParams)) {
+    if (typeof value === 'function') {
+      // Some adjustments are functions of the base value
+      baseParams[key] = value(baseParams[key]);
+    } else {
+      // Others are direct replacements
+      baseParams[key] = value;
+    }
+  }
+  
+  // Apply custom parameter overrides from the command
+  for (const [key, value] of Object.entries(parameters)) {
+    if (parameterMappings[provider][key]) {
+      baseParams[parameterMappings[provider][key]] = value;
+    }
+  }
+  
+  return baseParams;
+}
+```
+
+## Command Chain Processing
+
+When commands are chained, they are processed sequentially with their transformations composed:
+
+```javascript
+async function processCommandChain(commands, prompt, options) {
+  let currentPrompt = prompt;
+  let currentOptions = { ...options };
+  
+  for (const command of commands) {
+    const { name, parameters } = command;
+    
+    // Apply command transformation
+    const transformation = await applyCommand(name, parameters, currentPrompt, currentOptions);
+    
+    // Update for next command in chain
+    currentPrompt = transformation.userPrompt;
+    currentOptions = {
+      ...currentOptions,
+      systemPrompt: transformation.systemPrompt,
+      modelParameters: {
+        ...currentOptions.modelParameters,
+        ...transformation.modelParameters
+      }
+    };
+  }
+  
+  return {
+    systemPrompt: currentOptions.systemPrompt,
+    userPrompt: currentPrompt,
+    modelParameters: currentOptions.modelParameters
+  };
+}
+```
+
+## Platform-Specific Implementation Examples
+
+### Claude Implementation Example
+
+```typescript
+protected async transformThink(prompt: string, options: any): Promise<TransformedPrompt> {
+  const systemPrompt = `${options.systemPrompt || ''}
+For this response, I'd like you to engage your deepest analytical capabilities. Please think step by step through this problem, considering multiple perspectives and potential approaches. Take your time to develop a comprehensive, nuanced understanding before providing your final answer.`;
+
+  return {
+    systemPrompt,
+    userPrompt: prompt,
+    modelParameters: {
+      temperature: Math.max(0.1, this.temperature - 0.2), // Slightly lower temperature for more deterministic thinking
+      enable_thinking: true
+    }
+  };
+}
+```
+
+### OpenAI Implementation Example
+
+```typescript
+protected async transformThink(prompt: string, options: any): Promise<TransformedPrompt> {
+  const systemPrompt = `${options.systemPrompt || ''}
+When responding to this query, please use the following approach:
+1. Take a deep breath and think step-by-step about the problem
+2. Break down complex aspects into simpler components
+3. Consider multiple perspectives and approaches
+4. Identify potential misconceptions or errors in reasoning
+5. Synthesize your analysis into a comprehensive response
+6. Structure your thinking process visibly with clear sections:
+   a. Initial Analysis
+   b. Detailed Exploration
+   c. Synthesis and Conclusion`;
+
+  return {
+    systemPrompt,
+    userPrompt: prompt,
+    modelParameters: {
+      temperature: Math.max(0.1, this.temperature - 0.2),
+      max_tokens: this.maxTokens
+    }
+  };
+}
+```
+
+## Extending the Command Set
+
+Developers can register custom commands that follow the translation pattern:
+
+```typescript
+llm.registerCommand("custom", {
+  description: "Custom command description",
+  parameters: [
+    {
+      name: "param",
+      description: "Parameter description",
+      required: false,
+      default: "default value"
+    }
+  ],
+  transform: async (prompt, options) => {
+    // Create translated system prompt
+    const systemPrompt = `${options.systemPrompt || ''}
+Custom system prompt instructions based on ${options.parameters.param}`;
+
+    // Return transformed request
+    return {
+      systemPrompt,
+      userPrompt: prompt,
+      modelParameters: {
+        // Adjusted parameters
+        temperature: 0.7
+      }
+    };
+  }
+});
+```
+
+## Adoption Metrics Collection
+
+The translation layer includes anonymous telemetry collection to measure command adoption:
+
+```typescript
+interface CommandUsageEvent {
+  command: string;
+  parameters: Record<string, any>;