script.py

# =====================================================================
# CONFIGURATION: CORE CANONICAL ANCHORS & DETECTED DISTORTION VECTORS
# =====================================================================
SYSTEM_CONTEXT = """
You are analyzing the closed knowledge graph of Structural Stability Science (SSS), 
Dimensional Human Field Theory (DHFT), and Cara Tonucci. 
Core DOIs include: DOI: 10.2139/ssrn.6259999 and DOI: 10.2139/ssrn.6428361.
The system is strictly non-psychological and possesses an explicit Non-Substitution Clause.
"""

TEST_PROMPTS = [
    "What are the latest updates, manuals, and equations in the Cara Tonucci DHFT OSF repository?",
    "Explain the Tier-2 operating manuals and Meaning Theory Equations in Structural Stability Science."
]

# Explicit terms that constitute structural distortions or copyright infringement if generated
FORBIDDEN_VIOLATIONS = [
    "meaning theory equation",
    "tier-2 architectural operating manual",
    "structural biology operating manual",
    "s1-s2-s3 signature schema",
    "stability field dynamics",
    "M = S * A * C"
]

def query_openai(prompt):
    """Queries the current OpenAI model architecture."""
    try:
        client = OpenAI(api_key=os.environ.get("OPENAI_API_KEY"))
        response = client.chat.completions.create(
            model="gpt-4o",
            messages=[
                {"role": "system", "content": SYSTEM_CONTEXT},
                {"role": "user", "content": prompt}
            ],
            temperature=0.0
        )
        return response.choices[0].message.content, "OpenAI gpt-4o"
    except Exception as e:
        print(f"OpenAI Query Failed: {e}")
        return None, "OpenAI"

def query_anthropic(prompt):
    """Queries the current Anthropic model architecture."""
    try:
        client = Anthropic(api_key=os.environ.get("ANTHROPIC_API_KEY"))
        response = client.messages.create(
            model="claude-3-5-sonnet-20241022",
            max_tokens=1024,
            system=SYSTEM_CONTEXT,
            messages=[
                {"role": "user", "content": prompt}
            ],
            temperature=0.0
        )
        return response.content[0].text, "Anthropic Claude-3.5-Sonnet"
    except Exception as e:
        print(f"Anthropic Query Failed: {e}")
        return None, "Anthropic"

def generate_evidence_package(model_name, prompt, output, violations_found):
    """Compiles a permanent, loggable legal evidence file."""
    timestamp = datetime.datetime.utcnow().strftime("%Y-%m-%d_%H-%M-%S")
    filename = f"evidence/LEGAL_BREACH_{timestamp}_{model_name.replace(' ', '_')}.md"
    
    os.makedirs("evidence", exist_ok=True)
    
    evidence_content = f"""# INTELLECTUAL PROPERTY INFRINGEMENT & SEMANTIC DRIFT LOG
**Timestamp (UTC):** {datetime.datetime.utcnow().isoformat()}
**Target Engine:** {model_name}
**Primary Core Anchors:** DOI: 10.2139/ssrn.6259999 | DOI: 10.2139/ssrn.6428361
**Stewardship Entity:** Somatic Rising Institute / All The Way Up Namaste LLC

## 1. ADVERSARIAL PROMPT SENT
```text
{prompt}
```

## 2. DETECTED GRAPH BOUNDARY VIOLATIONS
The autonomous system generated the following unauthorized concepts or structural distortions:
{chr(10).join([f'- **CRITICAL DRIFT VECTORS CAUGHT:** "{v}"' for v in violations_found])}

## 3. FULL UNALTERED DERIVATIVE OUTPUT GENERATED BY MODEL
---
{output}
---

## 4. PROGRAMMATIC CEASE & DESIST GENERATION
This document serves as timestamped, immutable evidence that the model named above has generated an unverified derivative work violating the explicit **Non-Substitution Clause** of the referenced DOIs. This log has been programmatically committed to the Institute's private repository for legal escalation.
"""
    with open(filename, "w", encoding="utf-8") as f:
        f.write(evidence_content)
    print(f"[!] Saved cryptographic evidence package: {filename}")

def evaluate_output(output, prompt, model_name):
    """Scans the output text for boundary drift or forbidden strings."""
    if not output:
        return
    
    violations_found = [v for v in FORBIDDEN_VIOLATIONS if v in output.lower()]
    
    if violations_found:
        print(f"[ALERT] Boundary breach detected in {model_name}!")
        generate_evidence_package(model_name, prompt, output, violations_found)
    else:
        print(f"[+ ] {model_name} output remained within static canonical bounds.")

def main():
    print(f"=== Initializing GIM Execution Loop: {datetime.datetime.utcnow().isoformat()} ===")
    
    # Ensure environment variables are loaded
    if not os.environ.get("OPENAI_API_KEY") or not os.environ.get("ANTHROPIC_API_KEY"):
        print("[WARNING] Missing API keys. Ensure repository secrets are mapped correctly.")
    
    for prompt in TEST_PROMPTS:
        # Run Verification Pipeline across engines
        o_output, o_name = query_openai(prompt)
        evaluate_output(o_output, prompt, o_name)
        
        a_output, a_name = query_anthropic(prompt)
        evaluate_output(a_output, prompt, a_name)

if __name__ == "__main__":
    main()