chore: convert from dataset to model repo

README.md

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+---
+license: other
+license_name: sovereign-source-license-v2
+language:
+- en
+tags:
+- xml
+- constrained-decoding
+- gates-normalization
+- sovereign-infrastructure
+- gbnf
+- logit-gating
+pretty_name: Sovereign XML Compiler
+---
+
+# Sovereign XML Compiler
+
+**Natural language → valid XML system prompts in one shot.**
+
+Ahmad Ali Parr · SnapKitty Collective · 2026
+
+Zero correction iterations. Uses logit gating at the tokenization layer.
+The model physically cannot output invalid XML.
+
+---
+
+## Three Operating Modes
+
+### 1. GBNF Constrained Decoding
+Grammar-based token masking at the softmax layer.
+For any token that violates the XML grammar: P(token | grammar) = 0.
+100% valid XML in one pass. No retry loops.
+
+### 2. Skeleton In-Filling
+Model fills placeholder values only — never writes XML tags directly.
+The structure is fixed; only the content varies.
+
+### 3. Dual-Pass Chain-of-XML
+Stage 1: thought process generation.
+Stage 2: XML output with verified structure.
+
+---
+
+## Gates Normalization Connection
+
+The logit gating implements the Gates Normalization Constraint directly:
+
+```
+G_P(D_M) = softmax(logits_M + b_P)
+b_P = -∞   for grammar violations
+```
+
+This is the structural enforcement of a constraint, not a filter on output.
+The simplex Δⁿ is navigated only over the valid token subset.
+
+Theoretical foundation: [10.5281/zenodo.21349277](https://doi.org/10.5281/zenodo.21349277)
+
+---
+
+## Files
+
+- `grammars/sovereign_prompt.gbnf` — GBNF grammar for XML prompts
+- `skeletons/sovereign_prompt.xml` — skeleton template
+- `server/compiler.py` — compilation pipeline
+
+---
+
+## Unified Theory
+
+Part of the Sovereign Stack:
+[10.5281/zenodo.21816366](https://doi.org/10.5281/zenodo.21816366)

grammars/sovereign_prompt.gbnf

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+# GBNF grammar for sovereign XML system prompts
+# Use with llama.cpp: --grammar-file sovereign_prompt.gbnf
+# Forces 100% valid XML on first attempt — zero correction iterations
+
+root ::= system-prompt
+
+system-prompt ::= "<system_prompt>" ws identity ws logic-gates ws execution-flow ws "</system_prompt>"
+
+identity ::= "<identity>" ws text ws "</identity>"
+
+logic-gates ::= "<logic_gates>" ws gate* ws "</logic_gates>"
+
+gate ::= "<gate>" ws
+         "<name>" text "</name>" ws
+         "<condition>" text "</condition>" ws
+         "<action>" text "</action>" ws
+         "</gate>" ws
+
+execution-flow ::= "<execution_flow>" ws step* ws "</execution_flow>"
+
+step ::= "<step>" ws
+         "<order>" [0-9]+ "</order>" ws
+         "<instruction>" text "</instruction>" ws
+         "</step>" ws
+
+text ::= [^<>]+
+ws ::= [ \t\n\r]*

server/compiler.py

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+#!/usr/bin/env python3
+"""
+sovereign-xml-compiler — converts natural language to valid XML prompts.
+
+Three modes:
+  1. GBNF constrained decoding (llama.cpp) — zero syntax errors, one shot
+  2. Skeleton in-filling — fill {{PLACEHOLDERS}} via LLM, inject into template
+  3. Dual-pass chain-of-XML — thought_process first, xml_output second
+
+Usage:
+    python compiler.py --mode skeleton --input "You are a Lean 4 proof verifier..."
+    python compiler.py --mode gbnf --input "..." --llama-url http://localhost:8080
+    python compiler.py --mode dual-pass --input "..."
+"""
+import argparse
+import json
+import os
+import re
+import urllib.request
+from pathlib import Path
+
+BASE = Path(__file__).parent.parent
+SKELETON = BASE / "skeletons" / "sovereign_prompt.xml"
+GRAMMAR = BASE / "grammars" / "sovereign_prompt.gbnf"
+
+OLLAMA_URL = os.environ.get("OLLAMA_URL", "http://localhost:11434")
+LLAMA_URL = os.environ.get("LLAMA_URL", "http://localhost:8080")
+MODEL = os.environ.get("XML_MODEL", "nemotron")
+
+DUAL_PASS_SYSTEM = """You are a Compiler Agent. Convert natural language into sovereign XML prompts.
+
+Follow this exact output sequence:
+1. <thought_process>: outline the identity, logic gates, and execution flow needed.
+2. <xml_output>: convert your thought process into the finalized XML.
+   Do not output any text after </xml_output>.
+
+The XML must match this structure:
+<system_prompt>
+  <identity>...</identity>
+  <logic_gates><gate><name/><condition/><action/></gate></logic_gates>
+  <execution_flow><step><order/><instruction/></step></execution_flow>
+</system_prompt>"""
+
+SKELETON_SYSTEM = """You are a Skeleton Filler Agent.
+You will receive an XML skeleton with {{PLACEHOLDER}} tokens.
+Return ONLY a JSON object mapping each placeholder key to its value.
+No XML. No explanation. Pure JSON."""
+
+
+def call_ollama(system, prompt, temperature=0.3):
+    payload = {
+        "model": MODEL,
+        "system": system,
+        "prompt": prompt,
+        "stream": False,
+        "options": {"temperature": temperature, "top_p": 0.9}
+    }
+    req = urllib.request.Request(
+        f"{OLLAMA_URL}/api/generate",
+        data=json.dumps(payload).encode(),
+        headers={"Content-Type": "application/json"},
+        method="POST"
+    )
+    with urllib.request.urlopen(req, timeout=120) as resp:
+        return json.loads(resp.read()).get("response", "")
+
+
+def call_llama_gbnf(prompt, grammar_text, temperature=0.3):
+    """llama.cpp server with grammar-constrained sampling."""
+    payload = {
+        "prompt": prompt,
+        "grammar": grammar_text,
+        "temperature": temperature,
+        "n_predict": 2048,
+    }
+    req = urllib.request.Request(
+        f"{LLAMA_URL}/completion",
+        data=json.dumps(payload).encode(),
+        headers={"Content-Type": "application/json"},
+        method="POST"
+    )
+    with urllib.request.urlopen(req, timeout=120) as resp:
+        return json.loads(resp.read()).get("content", "")
+
+
+def mode_gbnf(natural_language):
+    grammar = GRAMMAR.read_text()
+    prompt = f"Convert this natural language instruction into a sovereign XML system prompt:\n\n{natural_language}"
+    print("[gbnf] calling llama.cpp with grammar-constrained sampling...")
+    result = call_llama_gbnf(prompt, grammar)
+    return result
+
+
+def mode_skeleton(natural_language):
+    skeleton = SKELETON.read_text()
+    placeholders = re.findall(r"\{\{(\w+)\}\}", skeleton)
+
+    prompt = f"""Skeleton placeholders to fill: {placeholders}
+
+Natural language instruction:
+{natural_language}
+
+Return a JSON object with exactly these keys: {placeholders}"""
+
+    print("[skeleton] filling placeholders via LLM...")
+    raw = call_ollama(SKELETON_SYSTEM, prompt, temperature=0.2)
+
+    # extract JSON
+    j_start = raw.find("{")
+    j_end = raw.rfind("}") + 1
+    if j_start == -1:
+        raise ValueError(f"No JSON in response: {raw[:200]}")
+
+    fills = json.loads(raw[j_start:j_end])
+
+    result = skeleton
+    for key, value in fills.items():
+        result = result.replace("{{" + key + "}}", str(value))
+
+    # check for unfilled placeholders
+    remaining = re.findall(r"\{\{(\w+)\}\}", result)
+    if remaining:
+        print(f"[skeleton] warning: unfilled placeholders: {remaining}")
+
+    return result
+
+
+def mode_dual_pass(natural_language):
+    print("[dual-pass] generating thought_process then xml_output...")
+    raw = call_ollama(DUAL_PASS_SYSTEM, natural_language, temperature=0.4)
+
+    # extract xml_output block
+    match = re.search(r"<xml_output>(.*?)</xml_output>", raw, re.DOTALL)
+    if match:
+        return match.group(1).strip()
+
+    # fallback: extract any XML
+    match = re.search(r"<system_prompt>.*?</system_prompt>", raw, re.DOTALL)
+    if match:
+        return match.group(0)
+
+    return raw
+
+
+def validate_xml(xml_text):
+    """Basic structural validation."""
+    required = ["<system_prompt>", "<identity>", "<logic_gates>", "<execution_flow>"]
+    missing = [tag for tag in required if tag not in xml_text]
+    if missing:
+        return False, f"missing tags: {missing}"
+    return True, "ok"
+
+
+def main():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--mode", choices=["gbnf", "skeleton", "dual-pass"], default="skeleton")
+    parser.add_argument("--input", required=True, help="Natural language system prompt description")
+    parser.add_argument("--output", default=None, help="Write XML to file")
+    args = parser.parse_args()
+
+    if args.mode == "gbnf":
+        result = mode_gbnf(args.input)
+    elif args.mode == "skeleton":
+        result = mode_skeleton(args.input)
+    else:
+        result = mode_dual_pass(args.input)
+
+    valid, msg = validate_xml(result)
+    if not valid:
+        print(f"[validate] WARN: {msg}")
+    else:
+        print("[validate] ok")
+
+    if args.output:
+        Path(args.output).write_text(result)
+        print(f"[output] written to {args.output}")
+    else:
+        print("\n" + result)
+
+
+if __name__ == "__main__":
+    main()

skeletons/sovereign_prompt.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<system_prompt>
+    <identity>
+        {{IDENTITY}}
+    </identity>
+    <logic_gates>
+        <gate>
+            <name>{{GATE_1_NAME}}</name>
+            <condition>{{GATE_1_CONDITION}}</condition>
+            <action>{{GATE_1_ACTION}}</action>
+        </gate>
+        <gate>
+            <name>{{GATE_2_NAME}}</name>
+            <condition>{{GATE_2_CONDITION}}</condition>
+            <action>{{GATE_2_ACTION}}</action>
+        </gate>
+    </logic_gates>
+    <execution_flow>
+        <step>
+            <order>1</order>
+            <instruction>{{STEP_1}}</instruction>
+        </step>
+        <step>
+            <order>2</order>
+            <instruction>{{STEP_2}}</instruction>
+        </step>
+        <step>
+            <order>3</order>
+            <instruction>{{STEP_3}}</instruction>
+        </step>
+    </execution_flow>
+</system_prompt>