feat: implement next.js frontend agent architecture and simulation

README.md

@@ -79,5 +79,9 @@ A new structural paradigm for transformers that replaces traditional loss-based
 - **Focus:** Bridging human empirical friction and AI paraconsistency.
 - **Key Features:** Utilizes SpatialBind (FuzzyRCC-8) for physical site planning logic, enforcing constraints to prevent continuous boundary violations. See `persona_metrology_simulation.py` and `program_persona_metrology.md`.
 
+### 10. Next.js Frontend Agent
+- **Focus:** RAG (Retrieval-Augmented Generation) and multi-agent frontend routing.
+- **Key Features:** Routes user requests to appropriate specialized agents (e.g., Cipher, Vulcan, Dax-01) based on user context and intent. Enforces DCCDSchemaGuard for UI component ASTs and limits evaluative language via AdjectivalBound constraints. See `nextjs_frontend_simulation.py` and `program_nextjs_frontend.md`.
+
 ## License
 MIT

nextjs_frontend_simulation.py

@@ -0,0 +1,117 @@
+
+
+class NextjsFrontendEvaluator:
+    """
+    Simulates the core logic and constraints of the Next.js Frontend Agent.
+    Implements multi-agent instance routing based on user contexts.
+    """
+
+    def __init__(self):
+        self.registered_agents = {
+            "dax-01": {
+                "role": "developer_advocate",
+                "capabilities": ["empathy", "code_transduction"]
+            },
+            "cipher": {
+                "role": "epistemic_sentinel",
+                "capabilities": ["zero_trust", "petzold_loop"]
+            },
+            "vulcan": {
+                "role": "architectural_router",
+                "capabilities": ["topological_constraints"]
+            },
+            "kira-7": {
+                "role": "thermodynamic_router",
+                "capabilities": ["ingress_validation"]
+            }
+        }
+        self.active_sessions = {}
+        self.request_logs = []
+
+    def evaluate_dccd_schema_guard(self, schema_type: str, data: dict) -> bool:
+        """
+        Validates input data against a predefined schema.
+        In this context, it checks if the UI component payload contains
+        necessary multi-agent routing identifiers.
+        """
+        if schema_type == "ComponentAST":
+            # Require at least an 'agent_intent' and 'user_context'
+            required_keys = {"agent_intent", "user_context"}
+            return required_keys.issubset(data.keys())
+        return False
+
+    def route_request(self, user_id: str, data: dict) -> dict:
+        """
+        Routes the user request to the appropriate agent \
+        instance based on intent.
+        Enforces AdjectivalBound and other constraints.
+        """
+        if not self.evaluate_dccd_schema_guard("ComponentAST", data):
+            return {
+                "error": "DCCDSchemaGuard validation "
+                         "failed. Missing required keys."
+            }
+
+        intent = data.get("agent_intent", "")
+
+        # Enforce AdjectivalBound (max 2 limit)
+        words = intent.split()
+        banned_adj = ["revolutionary", "fast", "seamless",
+                      "disruptive", "amazing"]
+        adjective_count = sum(1 for word in words if word.lower()
+                              in banned_adj)
+        if adjective_count > 2:
+            return {
+                "error": "AdjectivalBound exceeded. "
+                         "Too many evaluative adjectives."
+            }
+
+        # Determine the target agent
+        target_agent = "vulcan"  # Default fallback
+        if "security" in intent or "trust" in intent:
+            target_agent = "cipher"
+        elif "developer" in intent or "code" in intent:
+            target_agent = "dax-01"
+        elif "validation" in intent or "ingress" in intent:
+            target_agent = "kira-7"
+
+        # Log the request
+        self.request_logs.append({
+            "user_id": user_id,
+            "intent": intent,
+            "routed_to": target_agent
+        })
+
+        return {
+            "success": True,
+            "routed_agent": target_agent,
+            "response": f"Request routed to {target_agent} "
+                        "based on user context."
+        }
+
+
+if __name__ == '__main__':  # pragma: no cover
+    evaluator = NextjsFrontendEvaluator()
+
+    # Test 1: Valid routing to Cipher
+    test_1_data = {
+        "agent_intent": "verify security and zero trust constraints",
+        "user_context": {"role": "admin"}
+    }
+    result_1 = evaluator.route_request("user_123", test_1_data)
+    print(f"Test 1 Result: {result_1}")
+
+    # Test 2: AdjectivalBound violation
+    test_2_data = {
+        "agent_intent": "this revolutionary fast amazing seamless feature",
+        "user_context": {"role": "developer"}
+    }
+    result_2 = evaluator.route_request("user_456", test_2_data)
+    print(f"Test 2 Result: {result_2}")
+
+    # Test 3: DCCDSchemaGuard failure
+    test_3_data = {
+        "user_context": {"role": "user"}
+    }
+    result_3 = evaluator.route_request("user_789", test_3_data)
+    print(f"Test 3 Result: {result_3}")