# Sovereign XML Compiler **Natural language → valid XML system prompts in one shot. Zero correction iterations.** Three modes using logit gating at the tokenization layer: ## Modes ### 1. GBNF Constrained Decoding (best) Uses llama.cpp grammar-based sampling. The model **physically cannot** output invalid XML. Token selection at the softmax layer is masked to enforce the grammar. Result: 100% valid XML, zero syntax errors, one pass. ```bash # Requires llama.cpp server running export LLAMA_URL=http://localhost:8080 python server/compiler.py --mode gbnf --input "You are a Lean 4 proof verifier..." ``` ### 2. Skeleton In-Filling LLM only fills `{{PLACEHOLDER}}` values. Parser injects into template. The model never writes `<` or `>` — no tag hallucination possible. ```bash python server/compiler.py --mode skeleton --input "You are a sovereign math agent..." ``` ### 3. Dual-Pass Chain-of-XML `` first, `` second. Forces attention to compute correct structure before emitting markup. ```bash python server/compiler.py --mode dual-pass --input "..." ``` ## Quick Start ```bash export OLLAMA_URL=http://localhost:11434 export XML_MODEL=nemotron python server/compiler.py --mode skeleton \ --input "You are a zero-sorry Lean 4 verifier. Reject any proof containing sorry." \ --output my_prompt.xml ``` ## Files | File | Purpose | |------|---------| | `grammars/sovereign_prompt.gbnf` | GBNF grammar for llama.cpp constrained decoding | | `skeletons/sovereign_prompt.xml` | XML skeleton with `{{PLACEHOLDER}}` tokens | | `server/compiler.py` | Three-mode compiler server | ## The Gate Taxonomy | Mode | Gate Type | Mechanism | |------|-----------|-----------| | GBNF | Weight-level structural gate | Token masking at softmax — invalid tokens → probability 0 | | Skeleton | Context gate | LLM sees only leaf values, never writes tags | | Dual-pass | Attention gate | CoT forces structure before syntax | ## Connection to Gates Normalization GBNF masking is `P(token | grammar) = 0` for forbidden tokens. This is the same logit gate formalism from the Gates Normalization paper: `G_P(D_M) = softmax(logits_M + b_P)` where `b_P = -∞` for grammar-violating tokens. The simplex constraint holds: ∑P = 1 over the valid token set. ## License Sovereign Source License v2.0