Initial commit: add .gitignore and README

fusionagi/maa/__init__.py

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+"""Manufacturing Authority Add-On: sovereign validation layer for physical-world manufacturing."""
+
+from fusionagi.maa.gate import MAAGate
+from fusionagi.maa.schemas.mpc import ManufacturingProofCertificate, MPCId
+from fusionagi.maa.gap_detection import check_gaps, GapReport, GapClass
+
+__all__ = [
+    "MAAGate",
+    "ManufacturingProofCertificate",
+    "MPCId",
+    "check_gaps",
+    "GapReport",
+    "GapClass",
+]

fusionagi/maa/audit.py

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+"""Audit and reporting: export MPC and root-cause report format."""
+
+from typing import Any
+
+from fusionagi.maa.schemas.mpc import ManufacturingProofCertificate
+from fusionagi.maa.gap_detection import GapReport
+
+
+def export_mpc_for_audit(cert: ManufacturingProofCertificate) -> dict[str, Any]:
+    """Export MPC in audit-friendly format."""
+    out: dict[str, Any] = {
+        "mpc_id": cert.mpc_id.value,
+        "mpc_version": cert.mpc_id.version,
+        "decision_lineage": [{"node_id": e.node_id, "family": e.family, "outcome": e.outcome} for e in cert.decision_lineage],
+        "risk_register": [{"risk_id": r.risk_id, "severity": r.severity} for r in cert.risk_register],
+        "metadata": cert.metadata,
+    }
+    if cert.simulation_proof:
+        out["simulation_proof"] = {"proof_id": cert.simulation_proof.proof_id}
+    if cert.process_justification:
+        out["process_justification"] = {"process_type": cert.process_justification.process_type, "eligible": cert.process_justification.eligible}
+    if cert.machine_declaration:
+        out["machine_declaration"] = {"machine_id": cert.machine_declaration.machine_id}
+    return out
+
+
+def format_root_cause_report(gaps: list[GapReport], tool_name: str = "", context_ref: str = "") -> dict[str, Any]:
+    """Human-readable root-cause report for gap/tool rejections."""
+    return {
+        "report_type": "maa_root_cause",
+        "tool_name": tool_name,
+        "context_ref": context_ref,
+        "gaps": [{"gap_class": g.gap_class.value, "description": g.description, "required_resolution": g.required_resolution} for g in gaps],
+        "summary": f"{len(gaps)} gap(s) triggered halt.",
+    }

fusionagi/maa/gap_detection.py

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+"""Gap detection: active gap classes; any gap triggers halt + root-cause report (no warnings)."""
+
+from enum import Enum
+from typing import Any
+
+from pydantic import BaseModel, Field
+
+
+class GapClass(str, Enum):
+    """Active gap classes that trigger immediate halt."""
+
+    MISSING_NUMERIC_BOUNDS = "missing_numeric_bounds"
+    IMPLICIT_TOLERANCES = "implicit_tolerances"
+    UNDEFINED_DATUMS = "undefined_datums"
+    ASSUMED_PROCESSES = "assumed_processes"
+    TOOLPATH_ORPHANING = "toolpath_orphaning"
+
+
+class GapReport(BaseModel):
+    """Single gap report: class, root-cause, required resolution."""
+
+    gap_class: GapClass = Field(...)
+    description: str = Field(..., description="Human-readable root cause")
+    context_ref: str | None = Field(default=None)
+    required_resolution: str | None = Field(default=None)
+
+
+def check_gaps(context: dict[str, Any]) -> list[GapReport]:
+    """Run gap checks on context; any gap triggers halt. Returns list of gap reports; empty = no gaps."""
+    reports: list[GapReport] = []
+
+    if "numeric_bounds" in context:
+        nb = context["numeric_bounds"]
+        if not isinstance(nb, dict) or not nb:
+            reports.append(
+                GapReport(
+                    gap_class=GapClass.MISSING_NUMERIC_BOUNDS,
+                    description="Numeric bounds missing or empty",
+                    required_resolution="Provide bounded numeric parameters",
+                )
+            )
+    elif context.get("require_numeric_bounds"):
+        reports.append(
+            GapReport(
+                gap_class=GapClass.MISSING_NUMERIC_BOUNDS,
+                description="Numeric bounds required but absent",
+                required_resolution="Provide numeric_bounds in context",
+            )
+        )
+
+    if context.get("require_explicit_tolerances") and not context.get("tolerances"):
+        reports.append(
+            GapReport(
+                gap_class=GapClass.IMPLICIT_TOLERANCES,
+                description="Tolerances must be explicit",
+                required_resolution="Declare tolerances in context",
+            )
+        )
+
+    if context.get("require_datums") and not context.get("datums"):
+        reports.append(
+            GapReport(
+                gap_class=GapClass.UNDEFINED_DATUMS,
+                description="Datums required but undefined",
+                required_resolution="Define datums in context",
+            )
+        )
+
+    if context.get("require_process_type") and not context.get("process_type"):
+        reports.append(
+            GapReport(
+                gap_class=GapClass.ASSUMED_PROCESSES,
+                description="Process type must be declared",
+                required_resolution="Set process_type (additive, subtractive, hybrid)",
+            )
+        )
+
+    if context.get("toolpath_ref") and not context.get("geometry_lineage") and context.get("require_lineage"):
+        reports.append(
+            GapReport(
+                gap_class=GapClass.TOOLPATH_ORPHANING,
+                description="Toolpath must trace to geometry and intent",
+                required_resolution="Provide geometry_lineage and intent_ref",
+            )
+        )
+
+    return reports

fusionagi/maa/gate.py

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+"""MAA Gate: governance integration; MPC check and tool classification for manufacturing tools."""
+
+from typing import Any
+
+from fusionagi.maa.gap_detection import check_gaps, GapReport
+from fusionagi.maa.layers.mpc_authority import MPCAuthority
+from fusionagi.maa.layers.dlt_engine import DLTEngine
+from fusionagi._logger import logger
+
+
+# Default manufacturing tool names that require MPC
+DEFAULT_MANUFACTURING_TOOLS = frozenset({"cnc_emit", "am_slice", "machine_bind"})
+
+
+class MAAGate:
+    """
+    Gate for manufacturing tools: (tool_name, args) -> (allowed, sanitized_args | error_message).
+    Compatible with Guardrails.add_check. Manufacturing tools require valid MPC and no gaps.
+    """
+
+    def __init__(
+        self,
+        mpc_authority: MPCAuthority,
+        dlt_engine: DLTEngine | None = None,
+        manufacturing_tools: set[str] | frozenset[str] | None = None,
+    ) -> None:
+        self._mpc = mpc_authority
+        self._dlt = dlt_engine or DLTEngine()
+        self._manufacturing_tools = manufacturing_tools or DEFAULT_MANUFACTURING_TOOLS
+
+    def is_manufacturing(self, tool_name: str, tool_def: Any = None) -> bool:
+        """Return True if tool is classified as manufacturing (allowlist or ToolDef scope)."""
+        if tool_def is not None and getattr(tool_def, "manufacturing", False):
+            return True
+        return tool_name in self._manufacturing_tools
+
+    def check(self, tool_name: str, args: dict[str, Any]) -> tuple[bool, dict[str, Any] | str]:
+        """
+        Pre-check for Guardrails: (tool_name, args) -> (allowed, sanitized_args or error_message).
+        Non-manufacturing tools pass through. Manufacturing tools require mpc_id, valid MPC, no gaps.
+        """
+        if not self.is_manufacturing(tool_name, None):
+            logger.debug("MAA check pass-through (non-manufacturing)", extra={"tool_name": tool_name})
+            return True, args
+
+        mpc_id_value = args.get("mpc_id") or args.get("mpc_id_value")
+        if not mpc_id_value:
+            logger.info("MAA check denied", extra={"tool_name": tool_name, "reason": "missing mpc_id"})
+            return False, "MAA: manufacturing tool requires mpc_id in args"
+
+        cert = self._mpc.verify(mpc_id_value)
+        if cert is None:
+            logger.info("MAA check denied", extra={"tool_name": tool_name, "reason": "invalid or unknown MPC"})
+            return False, f"MAA: invalid or unknown MPC: {mpc_id_value}"
+
+        context: dict[str, Any] = {
+            **args,
+            "mpc_id": mpc_id_value,
+            "mpc_version": cert.mpc_id.version,
+        }
+        gaps = check_gaps(context)
+        if gaps:
+            root_cause = _format_root_cause(gaps)
+            logger.info("MAA check denied", extra={"tool_name": tool_name, "reason": "gaps", "gap_count": len(gaps)})
+            return False, root_cause
+
+        # Optional DLT evaluation when dlt_contract_id and dlt_context are in args
+        dlt_contract_id = args.get("dlt_contract_id")
+        if dlt_contract_id:
+            dlt_context = args.get("dlt_context") or context
+            ok, cause = self._dlt.evaluate(dlt_contract_id, dlt_context)
+            if not ok:
+                logger.info("MAA check denied", extra={"tool_name": tool_name, "reason": "dlt_failed"})
+                return False, f"MAA DLT: {cause}"
+
+        logger.debug("MAA check allowed", extra={"tool_name": tool_name})
+        return True, args
+
+
+def _format_root_cause(gaps: list[GapReport]) -> str:
+    """Format gap reports as single root-cause message."""
+    parts = [f"MAA gap: {g.gap_class.value} — {g.description}" for g in gaps]
+    if any(g.required_resolution for g in gaps):
+        parts.append("Required resolution: " + "; ".join(g.required_resolution for g in gaps if g.required_resolution))
+    return " | ".join(parts)

fusionagi/maa/layers/__init__.py

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+"""MAA layers: DLT, intent, geometry, physics, process, machine, toolpath, MPC."""
+
+from fusionagi.maa.layers.dlt_engine import DLTEngine
+from fusionagi.maa.layers.mpc_authority import MPCAuthority
+from fusionagi.maa.layers.intent_engine import IntentEngine
+from fusionagi.maa.layers.geometry_kernel import GeometryAuthorityInterface, InMemoryGeometryKernel
+from fusionagi.maa.layers.physics_authority import PhysicsAuthorityInterface, StubPhysicsAuthority
+from fusionagi.maa.layers.process_authority import ProcessAuthority
+from fusionagi.maa.layers.machine_binding import MachineBinding, MachineProfile
+from fusionagi.maa.layers.toolpath_engine import ToolpathEngine, ToolpathArtifact
+
+__all__ = [
+    "DLTEngine",
+    "MPCAuthority",
+    "IntentEngine",
+    "GeometryAuthorityInterface",
+    "InMemoryGeometryKernel",
+    "PhysicsAuthorityInterface",
+    "StubPhysicsAuthority",
+    "ProcessAuthority",
+    "MachineBinding",
+    "MachineProfile",
+    "ToolpathEngine",
+    "ToolpathArtifact",
+]

fusionagi/maa/layers/dlt_engine.py

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+"""Deterministic Decision Logic Tree Engine: store and evaluate DLTs; fail-closed."""
+
+from typing import Any
+
+from fusionagi.maa.schemas.dlt import DLTContract, DLTNode
+
+
+class DLTEngine:
+    """Store and evaluate Deterministic Decision Logic Trees; immutable, versioned contracts."""
+
+    def __init__(self) -> None:
+        self._contracts: dict[str, DLTContract] = {}
+
+    def register(self, contract: DLTContract) -> None:
+        """Register an immutable DLT contract (by contract_id)."""
+        key = f"{contract.contract_id}@v{contract.version}"
+        self._contracts[key] = contract
+
+    def get(self, contract_id: str, version: int | None = None) -> DLTContract | None:
+        """Return contract by id; optional version (latest if omitted)."""
+        if version is not None:
+            return self._contracts.get(f"{contract_id}@v{version}")
+        best: DLTContract | None = None
+        for k, c in self._contracts.items():
+            if c.contract_id == contract_id and (best is None or c.version > best.version):
+                best = c
+        return best
+
+    def evaluate(
+        self,
+        contract_id: str,
+        context: dict[str, Any],
+        version: int | None = None,
+    ) -> tuple[bool, str]:
+        """Evaluate DLT from root; deterministic, fail-closed. Return (True, "") or (False, root_cause)."""
+        contract = self.get(contract_id, version)
+        if not contract:
+            return False, f"DLT contract not found: {contract_id}"
+        return self._evaluate_node(contract, contract.root_id, context)
+
+    def _evaluate_node(
+        self,
+        contract: DLTContract,
+        node_id: str,
+        context: dict[str, Any],
+    ) -> tuple[bool, str]:
+        node = contract.nodes.get(node_id)
+        if not node:
+            return False, f"DLT node not found: {node_id}"
+        passed = self._check_condition(node, context)
+        if not passed:
+            if node.fail_closed:
+                return False, f"DLT node failed (fail-closed): {node_id} condition={node.condition}"
+        for child_id in node.children:
+            ok, cause = self._evaluate_node(contract, child_id, context)
+            if not ok:
+                return False, cause
+        return True, ""
+
+    def _check_condition(self, node: DLTNode, context: dict[str, Any]) -> bool:
+        """Evaluate condition; unknown conditions are fail-closed (False)."""
+        if node.condition.startswith("required:"):
+            key = node.condition.split(":", 1)[1].strip()
+            return key in context and context[key] is not None
+        if node.condition == "always":
+            return True
+        # Unknown condition: fail-closed
+        return False

fusionagi/maa/layers/geometry_kernel.py

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+"""Layer 3 — Geometry Authority Kernel: implicit geometry, constraint solvers, feature lineage."""
+
+from abc import ABC, abstractmethod
+from typing import Any
+
+from pydantic import BaseModel, Field
+
+
+class FeatureLineageEntry(BaseModel):
+    """Single feature lineage entry: feature -> intent node, physics justification, process eligibility."""
+
+    feature_id: str = Field(...)
+    intent_node_id: str = Field(...)
+    physics_justification_ref: str | None = Field(default=None)
+    process_eligible: bool = Field(default=False)
+
+
+class GeometryAuthorityInterface(ABC):
+    """
+    Interface for implicit geometry, constraint solvers, feature lineage.
+    Every geometric feature must map to intent node, physics justification, process eligibility.
+    Orphan geometry is prohibited.
+    """
+
+    @abstractmethod
+    def add_feature(
+        self,
+        feature_id: str,
+        intent_node_id: str,
+        physics_justification_ref: str | None = None,
+        process_eligible: bool = False,
+        payload: dict[str, Any] | None = None,
+    ) -> FeatureLineageEntry:
+        """Register a feature with lineage; orphan (no intent) prohibited."""
+        ...
+
+    @abstractmethod
+    def get_lineage(self, feature_id: str) -> FeatureLineageEntry | None:
+        """Return lineage for feature or None."""
+        ...
+
+    @abstractmethod
+    def validate_no_orphans(self) -> list[str]:
+        """Return list of feature ids with no valid lineage (orphans); must be empty for MPC."""
+        ...
+
+
+class InMemoryGeometryKernel(GeometryAuthorityInterface):
+    """
+    In-memory lineage model; no concrete CAD kernel.
+    Only tracks features registered via add_feature; validate_no_orphans returns []
+    since every stored feature has lineage. For a kernel that tracks all feature ids
+    separately, override validate_no_orphans to return ids not in lineage.
+    """
+
+    def __init__(self) -> None:
+        self._lineage: dict[str, FeatureLineageEntry] = {}
+
+    def add_feature(
+        self,
+        feature_id: str,
+        intent_node_id: str,
+        physics_justification_ref: str | None = None,
+        process_eligible: bool = False,
+        payload: dict[str, Any] | None = None,
+    ) -> FeatureLineageEntry:
+        entry = FeatureLineageEntry(
+            feature_id=feature_id,
+            intent_node_id=intent_node_id,
+            physics_justification_ref=physics_justification_ref,
+            process_eligible=process_eligible,
+        )
+        self._lineage[feature_id] = entry
+        return entry
+
+    def get_lineage(self, feature_id: str) -> FeatureLineageEntry | None:
+        return self._lineage.get(feature_id)
+
+    def validate_no_orphans(self) -> list[str]:
+        """Return []; this stub only tracks registered features, so none are orphans."""
+        return []

fusionagi/maa/layers/intent_engine.py

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+"""Layer 1 — Intent Formalization Engine.
+
+Responsible for:
+1. Intent decomposition - breaking natural language into structured requirements
+2. Requirement typing - classifying requirements (dimensional, load, environmental, process)
+3. Load case enumeration - identifying operational scenarios
+"""
+
+import re
+import uuid
+from typing import Any
+
+from fusionagi.maa.schemas.intent import EngineeringIntentGraph, IntentNode, LoadCase, RequirementType
+from fusionagi._logger import logger
+
+
+class IntentIncompleteError(Exception):
+    """Raised when intent formalization cannot be completed due to missing information."""
+
+    def __init__(self, message: str, missing_fields: list[str] | None = None):
+        self.missing_fields = missing_fields or []
+        super().__init__(message)
+
+
+class IntentEngine:
+    """
+    Intent decomposition, requirement typing, and load case enumeration.
+    
+    Features:
+    - Pattern-based requirement extraction from natural language
+    - Automatic requirement type classification
+    - Load case identification
+    - Environmental bounds extraction
+    - LLM-assisted formalization (optional)
+    """
+
+    # Patterns for dimensional requirements (measurements, tolerances)
+    DIMENSIONAL_PATTERNS = [
+        r"(\d+(?:\.\d+)?)\s*(mm|cm|m|in|inch|inches|ft|feet)\b",
+        r"tolerance[s]?\s*(?:of\s*)?(\d+(?:\.\d+)?)",
+        r"±\s*(\d+(?:\.\d+)?)",
+        r"(\d+(?:\.\d+)?)\s*×\s*(\d+(?:\.\d+)?)",
+        r"diameter\s*(?:of\s*)?(\d+(?:\.\d+)?)",
+        r"radius\s*(?:of\s*)?(\d+(?:\.\d+)?)",
+        r"thickness\s*(?:of\s*)?(\d+(?:\.\d+)?)",
+        r"length\s*(?:of\s*)?(\d+(?:\.\d+)?)",
+        r"width\s*(?:of\s*)?(\d+(?:\.\d+)?)",
+        r"height\s*(?:of\s*)?(\d+(?:\.\d+)?)",
+    ]
+
+    # Patterns for load requirements (forces, pressures, stresses)
+    LOAD_PATTERNS = [
+        r"(\d+(?:\.\d+)?)\s*(N|kN|MN|lb|lbf|kg|kgf)\b",
+        r"(\d+(?:\.\d+)?)\s*(MPa|GPa|Pa|psi|ksi)\b",
+        r"load\s*(?:of\s*)?(\d+(?:\.\d+)?)",
+        r"force\s*(?:of\s*)?(\d+(?:\.\d+)?)",
+        r"stress\s*(?:of\s*)?(\d+(?:\.\d+)?)",
+        r"pressure\s*(?:of\s*)?(\d+(?:\.\d+)?)",
+        r"factor\s*of\s*safety\s*(?:of\s*)?(\d+(?:\.\d+)?)",
+        r"yield\s*strength",
+        r"tensile\s*strength",
+        r"fatigue\s*(?:life|limit|strength)",
+    ]
+
+    # Patterns for environmental requirements
+    ENVIRONMENTAL_PATTERNS = [
+        r"(\d+(?:\.\d+)?)\s*(?:°|deg|degrees?)?\s*(C|F|K|Celsius|Fahrenheit|Kelvin)\b",
+        r"temperature\s*(?:range|of)?\s*(\d+)",
+        r"humidity\s*(?:of\s*)?(\d+)",
+        r"corrosion\s*resist",
+        r"UV\s*resist",
+        r"water\s*(?:proof|resist)",
+        r"chemical\s*resist",
+        r"outdoor",
+        r"marine",
+        r"aerospace",
+    ]
+
+    # Patterns for process requirements
+    PROCESS_PATTERNS = [
+        r"CNC|machining|milling|turning|drilling",
+        r"3D\s*print|additive|FDM|SLA|SLS|DMLS",
+        r"cast|injection\s*mold|die\s*cast",
+        r"weld|braze|solder",
+        r"heat\s*treat|anneal|harden|temper",
+        r"surface\s*finish|polish|anodize|plate",
+        r"assembly|sub-assembly",
+        r"material:\s*(\w+)",
+        r"aluminum|steel|titanium|plastic|composite",
+    ]
+
+    # Load case indicator patterns
+    LOAD_CASE_PATTERNS = [
+        r"(?:during|under|in)\s+(\w+(?:\s+\w+)?)\s+(?:conditions?|operation|mode)",
+        r"(\w+)\s+load\s+case",
+        r"(?:static|dynamic|cyclic|impact|thermal)\s+load",
+        r"(?:normal|extreme|emergency|failure)\s+(?:operation|conditions?|mode)",
+        r"operating\s+(?:at|under|in)",
+    ]
+
+    def __init__(self, llm_adapter: Any | None = None):
+        """
+        Initialize the IntentEngine.
+        
+        Args:
+            llm_adapter: Optional LLM adapter for enhanced natural language processing.
+        """
+        self._llm = llm_adapter
+
+    def formalize(
+        self,
+        intent_id: str,
+        natural_language: str | None = None,
+        file_refs: list[str] | None = None,
+        metadata: dict[str, Any] | None = None,
+        use_llm: bool = True,
+    ) -> EngineeringIntentGraph:
+        """
+        Formalize engineering intent from natural language and file references.
+        
+        Args:
+            intent_id: Unique identifier for this intent.
+            natural_language: Natural language description of requirements.
+            file_refs: References to CAD files, specifications, etc.
+            metadata: Additional metadata.
+            use_llm: Whether to use LLM for enhanced processing (if available).
+        
+        Returns:
+            EngineeringIntentGraph with extracted requirements.
+        
+        Raises:
+            IntentIncompleteError: If required information is missing.
+        """
+        if not intent_id:
+            raise IntentIncompleteError("intent_id required", ["intent_id"])
+        
+        if not natural_language and not file_refs:
+            raise IntentIncompleteError(
+                "At least one of natural_language or file_refs required",
+                ["natural_language", "file_refs"],
+            )
+        
+        nodes: list[IntentNode] = []
+        load_cases: list[LoadCase] = []
+        environmental_bounds: dict[str, Any] = {}
+        
+        # Process natural language if provided
+        if natural_language:
+            # Use LLM if available and requested
+            if use_llm and self._llm:
+                llm_result = self._formalize_with_llm(intent_id, natural_language)
+                if llm_result:
+                    return llm_result
+            
+            # Fall back to pattern-based extraction
+            extracted = self._extract_requirements(intent_id, natural_language)
+            nodes.extend(extracted["nodes"])
+            load_cases.extend(extracted["load_cases"])
+            environmental_bounds.update(extracted["environmental_bounds"])
+        
+        # Process file references
+        if file_refs:
+            for ref in file_refs:
+                nodes.append(
+                    IntentNode(
+                        node_id=f"{intent_id}_file_{uuid.uuid4().hex[:8]}",
+                        requirement_type=RequirementType.OTHER,
+                        description=f"Reference: {ref}",
+                        metadata={"file_ref": ref},
+                    )
+                )
+        
+        # If no nodes were extracted, create a general requirement
+        if not nodes and natural_language:
+            nodes.append(
+                IntentNode(
+                    node_id=f"{intent_id}_general_0",
+                    requirement_type=RequirementType.OTHER,
+                    description=natural_language[:500],
+                )
+            )
+        
+        logger.info(
+            "Intent formalized",
+            extra={
+                "intent_id": intent_id,
+                "num_nodes": len(nodes),
+                "num_load_cases": len(load_cases),
+            },
+        )
+        
+        return EngineeringIntentGraph(
+            intent_id=intent_id,
+            nodes=nodes,
+            load_cases=load_cases,
+            environmental_bounds=environmental_bounds,
+            metadata=metadata or {},
+        )
+
+    def _extract_requirements(
+        self,
+        intent_id: str,
+        text: str,
+    ) -> dict[str, Any]:
+        """
+        Extract requirements from text using pattern matching.
+        
+        Returns dict with nodes, load_cases, and environmental_bounds.
+        """
+        nodes: list[IntentNode] = []
+        load_cases: list[LoadCase] = []
+        environmental_bounds: dict[str, Any] = {}
+        
+        # Split into sentences for processing
+        sentences = re.split(r'[.!?]+', text)
+        
+        node_counter = 0
+        load_case_counter = 0
+        
+        for sentence in sentences:
+            sentence = sentence.strip()
+            if not sentence:
+                continue
+            
+            # Check for dimensional requirements
+            for pattern in self.DIMENSIONAL_PATTERNS:
+                if re.search(pattern, sentence, re.IGNORECASE):
+                    nodes.append(
+                        IntentNode(
+                            node_id=f"{intent_id}_dim_{node_counter}",
+                            requirement_type=RequirementType.DIMENSIONAL,
+                            description=sentence,
+                            metadata={"pattern": "dimensional"},
+                        )
+                    )
+                    node_counter += 1
+                    break
+            
+            # Check for load requirements
+            for pattern in self.LOAD_PATTERNS:
+                if re.search(pattern, sentence, re.IGNORECASE):
+                    nodes.append(
+                        IntentNode(
+                            node_id=f"{intent_id}_load_{node_counter}",
+                            requirement_type=RequirementType.LOAD,
+                            description=sentence,
+                            metadata={"pattern": "load"},
+                        )
+                    )
+                    node_counter += 1
+                    break
+            
+            # Check for environmental requirements
+            for pattern in self.ENVIRONMENTAL_PATTERNS:
+                match = re.search(pattern, sentence, re.IGNORECASE)
+                if match:
+                    nodes.append(
+                        IntentNode(
+                            node_id=f"{intent_id}_env_{node_counter}",
+                            requirement_type=RequirementType.ENVIRONMENTAL,
+                            description=sentence,
+                            metadata={"pattern": "environmental"},
+                        )
+                    )
+                    node_counter += 1
+                    
+                    # Extract specific bounds if possible
+                    if "temperature" in sentence.lower():
+                        temp_match = re.search(r"(-?\d+(?:\.\d+)?)", sentence)
+                        if temp_match:
+                            environmental_bounds["temperature"] = float(temp_match.group(1))
+                    break
+            
+            # Check for process requirements
+            for pattern in self.PROCESS_PATTERNS:
+                if re.search(pattern, sentence, re.IGNORECASE):
+                    nodes.append(
+                        IntentNode(
+                            node_id=f"{intent_id}_proc_{node_counter}",
+                            requirement_type=RequirementType.PROCESS,
+                            description=sentence,
+                            metadata={"pattern": "process"},
+                        )
+                    )
+                    node_counter += 1
+                    break
+            
+            # Check for load cases
+            for pattern in self.LOAD_CASE_PATTERNS:
+                match = re.search(pattern, sentence, re.IGNORECASE)
+                if match:
+                    load_case_desc = match.group(0) if match.group(0) else sentence
+                    load_cases.append(
+                        LoadCase(
+                            load_case_id=f"{intent_id}_lc_{load_case_counter}",
+                            description=load_case_desc,
+                            metadata={"source_sentence": sentence},
+                        )
+                    )
+                    load_case_counter += 1
+                    break
+        
+        return {
+            "nodes": nodes,
+            "load_cases": load_cases,
+            "environmental_bounds": environmental_bounds,
+        }
+
+    def _formalize_with_llm(
+        self,
+        intent_id: str,
+        natural_language: str,
+    ) -> EngineeringIntentGraph | None:
+        """
+        Use LLM to extract structured requirements from natural language.
+        
+        Returns None if LLM processing fails (falls back to pattern matching).
+        """
+        if not self._llm:
+            return None
+        
+        import json
+        
+        prompt = f"""Extract engineering requirements from the following text.
+Return a JSON object with:
+- "nodes": list of requirements, each with:
+  - "requirement_type": one of "dimensional", "load", "environmental", "process", "other"
+  - "description": the requirement text
+- "load_cases": list of operational scenarios, each with:
+  - "description": the scenario description
+- "environmental_bounds": dict of environmental limits (e.g., {{"temperature_max": 85, "humidity_max": 95}})
+
+Text: {natural_language[:2000]}
+
+Return only valid JSON, no markdown."""
+
+        try:
+            messages = [
+                {"role": "system", "content": "You are an engineering requirements extraction system."},
+                {"role": "user", "content": prompt},
+            ]
+            
+            # Try structured output if available
+            if hasattr(self._llm, "complete_structured"):
+                result = self._llm.complete_structured(messages)
+                if result:
+                    return self._parse_llm_result(intent_id, result)
+            
+            # Fall back to text completion
+            raw = self._llm.complete(messages)
+            if raw:
+                # Clean up response
+                if raw.startswith("```"):
+                    raw = raw.split("```")[1]
+                    if raw.startswith("json"):
+                        raw = raw[4:]
+                result = json.loads(raw)
+                return self._parse_llm_result(intent_id, result)
+        
+        except Exception as e:
+            logger.warning(f"LLM formalization failed: {e}")
+        
+        return None
+
+    def _parse_llm_result(
+        self,
+        intent_id: str,
+        result: dict[str, Any],
+    ) -> EngineeringIntentGraph:
+        """Parse LLM result into EngineeringIntentGraph."""
+        nodes = []
+        for i, node_data in enumerate(result.get("nodes", [])):
+            req_type_str = node_data.get("requirement_type", "other")
+            try:
+                req_type = RequirementType(req_type_str)
+            except ValueError:
+                req_type = RequirementType.OTHER
+            
+            nodes.append(
+                IntentNode(
+                    node_id=f"{intent_id}_llm_{i}",
+                    requirement_type=req_type,
+                    description=node_data.get("description", ""),
+                    metadata={"source": "llm"},
+                )
+            )
+        
+        load_cases = []
+        for i, lc_data in enumerate(result.get("load_cases", [])):
+            load_cases.append(
+                LoadCase(
+                    load_case_id=f"{intent_id}_lc_llm_{i}",
+                    description=lc_data.get("description", ""),
+                    metadata={"source": "llm"},
+                )
+            )
+        
+        environmental_bounds = result.get("environmental_bounds", {})
+        
+        return EngineeringIntentGraph(
+            intent_id=intent_id,
+            nodes=nodes,
+            load_cases=load_cases,
+            environmental_bounds=environmental_bounds,
+            metadata={"formalization_source": "llm"},
+        )
+
+    def validate_completeness(self, graph: EngineeringIntentGraph) -> tuple[bool, list[str]]:
+        """
+        Validate that an intent graph has sufficient information.
+        
+        Returns:
+            Tuple of (is_complete, list_of_missing_items)
+        """
+        missing = []
+        
+        if not graph.nodes:
+            missing.append("No requirements extracted")
+        
+        # Check for at least one dimensional or load requirement for manufacturing
+        has_dimensional = any(n.requirement_type == RequirementType.DIMENSIONAL for n in graph.nodes)
+        has_load = any(n.requirement_type == RequirementType.LOAD for n in graph.nodes)
+        
+        if not has_dimensional:
+            missing.append("No dimensional requirements specified")
+        
+        # Load cases are recommended but not required
+        if not graph.load_cases:
+            logger.info("No load cases specified for intent", extra={"intent_id": graph.intent_id})
+        
+        return len(missing) == 0, missing

fusionagi/maa/layers/machine_binding.py

@@ -0,0 +1,33 @@
+"""Layer 6 — Machine Binding & Personality Profiles."""
+
+from typing import Any
+
+from pydantic import BaseModel, Field
+
+
+class MachineProfile(BaseModel):
+    """Machine personality profile: limits, historical deviation models."""
+
+    machine_id: str = Field(..., description="Bound machine id")
+    limits_ref: str | None = Field(default=None)
+    deviation_model_ref: str | None = Field(default=None)
+    metadata: dict[str, Any] = Field(default_factory=dict)
+
+
+class MachineBinding:
+    """Each design binds to a specific machine with known limits. No abstraction without binding."""
+
+    def __init__(self) -> None:
+        self._profiles: dict[str, MachineProfile] = {}
+
+    def register(self, profile: MachineProfile) -> None:
+        """Register a machine profile."""
+        self._profiles[profile.machine_id] = profile
+
+    def get(self, machine_id: str) -> MachineProfile | None:
+        """Return profile for machine or None."""
+        return self._profiles.get(machine_id)
+
+    def resolve(self, machine_id: str) -> MachineProfile | None:
+        """Resolve machine binding; reject if unknown (no abstraction)."""
+        return self.get(machine_id)

fusionagi/maa/layers/mpc_authority.py

@@ -0,0 +1,65 @@
+"""MPC Authority: issue and verify Manufacturing Proof Certificates; immutable, versioned."""
+
+from typing import Any
+
+from fusionagi.maa.schemas.mpc import (
+    ManufacturingProofCertificate,
+    MPCId,
+    DecisionLineageEntry,
+    SimulationProof,
+    ProcessJustification,
+    MachineDeclaration,
+    RiskRegisterEntry,
+)
+from fusionagi.maa.versioning import VersionStore
+
+
+class MPCAuthority:
+    """Central issue and verify MPCs; immutable, versioned."""
+
+    def __init__(self) -> None:
+        self._store = VersionStore()
+        self._by_value: dict[str, ManufacturingProofCertificate] = {}  # mpc_id.value -> cert
+
+    def issue(
+        self,
+        mpc_id_value: str,
+        decision_lineage: list[DecisionLineageEntry] | None = None,
+        simulation_proof: SimulationProof | None = None,
+        process_justification: ProcessJustification | None = None,
+        machine_declaration: MachineDeclaration | None = None,
+        risk_register: list[RiskRegisterEntry] | None = None,
+        metadata: dict[str, Any] | None = None,
+    ) -> ManufacturingProofCertificate:
+        """Issue a new MPC; version auto-incremented."""
+        latest = self._store.get_latest_version(mpc_id_value)
+        version = (latest or 0) + 1
+        mpc_id = MPCId(value=mpc_id_value, version=version)
+        cert = ManufacturingProofCertificate(
+            mpc_id=mpc_id,
+            decision_lineage=decision_lineage or [],
+            simulation_proof=simulation_proof,
+            process_justification=process_justification,
+            machine_declaration=machine_declaration,
+            risk_register=risk_register or [],
+            metadata=metadata or {},
+        )
+        self._store.put(mpc_id_value, version, cert)
+        self._by_value[mpc_id_value] = cert
+        return cert
+
+    def verify(self, mpc_id: str | MPCId, version: int | None = None) -> ManufacturingProofCertificate | None:
+        """Verify and return MPC if valid; None if not found or invalid."""
+        value = mpc_id.value if isinstance(mpc_id, MPCId) else mpc_id
+        cert = self._store.get(value, version) if version is not None else self._by_value.get(value)
+        if cert is None and version is None:
+            cert = self._store.get(value, self._store.get_latest_version(value))
+        return cert
+
+    def get(self, mpc_id_value: str, version: int | None = None) -> ManufacturingProofCertificate | None:
+        """Return stored MPC by value and optional version."""
+        if version is not None:
+            return self._store.get(mpc_id_value, version)
+        return self._by_value.get(mpc_id_value) or self._store.get(
+            mpc_id_value, self._store.get_latest_version(mpc_id_value)
+        )

fusionagi/maa/layers/physics_authority.py

@@ -0,0 +1,449 @@
+"""Layer 4 — Physics Closure & Simulation Authority.
+
+Responsible for:
+- Governing equation selection (structural, thermal, fluid)
+- Boundary condition enforcement
+- Safety factor calculation and validation
+- Failure mode completeness analysis
+- Simulation binding (simulations are binding, not illustrative)
+"""
+
+import hashlib
+import math
+import uuid
+from abc import ABC, abstractmethod
+from dataclasses import dataclass
+from enum import Enum
+from typing import Any
+
+from pydantic import BaseModel, Field
+
+from fusionagi._logger import logger
+
+
+class PhysicsUnderdefinedError(Exception):
+    """Failure state: physics not fully defined."""
+
+    def __init__(self, message: str, missing_data: list[str] | None = None):
+        self.missing_data = missing_data or []
+        super().__init__(message)
+
+
+class ProofResult(str, Enum):
+    """Result of physics validation."""
+
+    PROOF = "proof"
+    PHYSICS_UNDEFINED = "physics_underdefined"
+    VALIDATION_FAILED = "validation_failed"
+
+
+class PhysicsProof(BaseModel):
+    """Binding simulation proof reference."""
+
+    proof_id: str = Field(...)
+    governing_equations: str | None = Field(default=None)
+    boundary_conditions_ref: str | None = Field(default=None)
+    safety_factor: float | None = Field(default=None)
+    failure_modes_covered: list[str] = Field(default_factory=list)
+    metadata: dict[str, Any] = Field(default_factory=dict)
+    validation_status: str = Field(default="validated")
+    warnings: list[str] = Field(default_factory=list)
+
+
+class PhysicsAuthorityInterface(ABC):
+    """
+    Abstract interface for physics validation.
+    
+    Governing equation selection, boundary condition enforcement, safety factor declaration,
+    failure-mode completeness. Simulations are binding, not illustrative.
+    """
+
+    @abstractmethod
+    def validate_physics(
+        self,
+        design_ref: str,
+        load_cases: list[dict[str, Any]] | None = None,
+        **kwargs: Any,
+    ) -> PhysicsProof | None:
+        """
+        Validate physics for design; return Proof or None (PhysicsUnderdefined).
+        Raises PhysicsUnderdefinedError if required data missing.
+        """
+        ...
+
+
+# Common material properties database (simplified)
+MATERIAL_PROPERTIES: dict[str, dict[str, float]] = {
+    "aluminum_6061": {
+        "yield_strength_mpa": 276,
+        "ultimate_strength_mpa": 310,
+        "elastic_modulus_gpa": 68.9,
+        "density_kg_m3": 2700,
+        "poisson_ratio": 0.33,
+        "thermal_expansion_per_c": 23.6e-6,
+        "max_service_temp_c": 150,
+    },
+    "steel_4140": {
+        "yield_strength_mpa": 655,
+        "ultimate_strength_mpa": 1020,
+        "elastic_modulus_gpa": 205,
+        "density_kg_m3": 7850,
+        "poisson_ratio": 0.29,
+        "thermal_expansion_per_c": 12.3e-6,
+        "max_service_temp_c": 400,
+    },
+    "titanium_ti6al4v": {
+        "yield_strength_mpa": 880,
+        "ultimate_strength_mpa": 950,
+        "elastic_modulus_gpa": 113.8,
+        "density_kg_m3": 4430,
+        "poisson_ratio": 0.34,
+        "thermal_expansion_per_c": 8.6e-6,
+        "max_service_temp_c": 350,
+    },
+    "pla_plastic": {
+        "yield_strength_mpa": 60,
+        "ultimate_strength_mpa": 65,
+        "elastic_modulus_gpa": 3.5,
+        "density_kg_m3": 1240,
+        "poisson_ratio": 0.36,
+        "thermal_expansion_per_c": 68e-6,
+        "max_service_temp_c": 55,
+    },
+    "abs_plastic": {
+        "yield_strength_mpa": 40,
+        "ultimate_strength_mpa": 44,
+        "elastic_modulus_gpa": 2.3,
+        "density_kg_m3": 1050,
+        "poisson_ratio": 0.35,
+        "thermal_expansion_per_c": 90e-6,
+        "max_service_temp_c": 85,
+    },
+}
+
+# Standard failure modes to check
+STANDARD_FAILURE_MODES = [
+    "yield_failure",
+    "ultimate_failure",
+    "buckling",
+    "fatigue",
+    "creep",
+    "thermal_distortion",
+    "vibration_resonance",
+]
+
+
+@dataclass
+class LoadCaseResult:
+    """Result of validating a single load case."""
+
+    load_case_id: str
+    max_stress_mpa: float
+    safety_factor: float
+    passed: bool
+    failure_mode: str | None = None
+    details: dict[str, Any] | None = None
+
+
+class PhysicsAuthority(PhysicsAuthorityInterface):
+    """
+    Physics validation authority with actual validation logic.
+    
+    Features:
+    - Material property validation
+    - Load case analysis
+    - Safety factor calculation
+    - Failure mode coverage analysis
+    - Governing equation selection based on load types
+    """
+
+    def __init__(
+        self,
+        required_safety_factor: float = 2.0,
+        material_db: dict[str, dict[str, float]] | None = None,
+        custom_failure_modes: list[str] | None = None,
+    ):
+        """
+        Initialize the PhysicsAuthority.
+        
+        Args:
+            required_safety_factor: Minimum required safety factor (default 2.0).
+            material_db: Custom material properties database.
+            custom_failure_modes: Additional failure modes to check.
+        """
+        self._required_sf = required_safety_factor
+        self._materials = material_db or MATERIAL_PROPERTIES
+        self._failure_modes = list(STANDARD_FAILURE_MODES)
+        if custom_failure_modes:
+            self._failure_modes.extend(custom_failure_modes)
+
+    def validate_physics(
+        self,
+        design_ref: str,
+        load_cases: list[dict[str, Any]] | None = None,
+        material: str | None = None,
+        dimensions: dict[str, float] | None = None,
+        boundary_conditions: dict[str, Any] | None = None,
+        **kwargs: Any,
+    ) -> PhysicsProof | None:
+        """
+        Validate physics for a design.
+        
+        Args:
+            design_ref: Reference to the design being validated.
+            load_cases: List of load cases to validate against.
+            material: Material identifier (must be in material database).
+            dimensions: Key dimensions for stress calculation.
+            boundary_conditions: Boundary condition specification.
+            **kwargs: Additional parameters.
+        
+        Returns:
+            PhysicsProof if validation passes, None if physics underdefined.
+        
+        Raises:
+            PhysicsUnderdefinedError: If critical data is missing.
+        """
+        missing_data = []
+        
+        if not design_ref:
+            missing_data.append("design_ref")
+        if not material:
+            missing_data.append("material")
+        if not load_cases:
+            missing_data.append("load_cases")
+        
+        if missing_data:
+            raise PhysicsUnderdefinedError(
+                f"Physics validation requires: {', '.join(missing_data)}",
+                missing_data=missing_data,
+            )
+        
+        # Get material properties
+        mat_props = self._materials.get(material.lower().replace(" ", "_"))
+        if not mat_props:
+            raise PhysicsUnderdefinedError(
+                f"Unknown material: {material}. Available: {list(self._materials.keys())}",
+                missing_data=["material_properties"],
+            )
+        
+        # Validate each load case
+        load_case_results: list[LoadCaseResult] = []
+        min_safety_factor = float("inf")
+        warnings: list[str] = []
+        failure_modes_covered: list[str] = []
+        
+        for lc in load_cases:
+            result = self._validate_load_case(lc, mat_props, dimensions)
+            load_case_results.append(result)
+            
+            if result.safety_factor < min_safety_factor:
+                min_safety_factor = result.safety_factor
+            
+            if not result.passed:
+                warnings.append(
+                    f"Load case '{result.load_case_id}' failed: {result.failure_mode}"
+                )
+            
+            # Track failure modes analyzed
+            if result.failure_mode and result.failure_mode not in failure_modes_covered:
+                failure_modes_covered.append(result.failure_mode)
+        
+        # Determine governing equations based on load types
+        governing_equations = self._select_governing_equations(load_cases)
+        
+        # Check minimum required failure modes
+        required_modes = ["yield_failure", "ultimate_failure"]
+        for mode in required_modes:
+            if mode not in failure_modes_covered:
+                failure_modes_covered.append(mode)  # Basic checks are always done
+        
+        # Generate proof ID based on inputs
+        proof_hash = hashlib.sha256(
+            f"{design_ref}:{material}:{load_cases}".encode()
+        ).hexdigest()[:16]
+        proof_id = f"proof_{design_ref}_{proof_hash}"
+        
+        # Determine validation status
+        validation_status = "validated"
+        if min_safety_factor < self._required_sf:
+            validation_status = "insufficient_safety_factor"
+            warnings.append(
+                f"Safety factor {min_safety_factor:.2f} < required {self._required_sf}"
+            )
+        
+        if any(not r.passed for r in load_case_results):
+            validation_status = "load_case_failure"
+        
+        logger.info(
+            "Physics validation completed",
+            extra={
+                "design_ref": design_ref,
+                "material": material,
+                "min_sf": min_safety_factor,
+                "status": validation_status,
+                "num_load_cases": len(load_cases),
+            },
+        )
+        
+        return PhysicsProof(
+            proof_id=proof_id,
+            governing_equations=governing_equations,
+            boundary_conditions_ref=str(boundary_conditions) if boundary_conditions else None,
+            safety_factor=min_safety_factor if min_safety_factor != float("inf") else None,
+            failure_modes_covered=failure_modes_covered,
+            metadata={
+                "material": material,
+                "material_properties": mat_props,
+                "load_case_results": [
+                    {
+                        "id": r.load_case_id,
+                        "max_stress_mpa": r.max_stress_mpa,
+                        "sf": r.safety_factor,
+                        "passed": r.passed,
+                    }
+                    for r in load_case_results
+                ],
+                "required_safety_factor": self._required_sf,
+            },
+            validation_status=validation_status,
+            warnings=warnings,
+        )
+
+    def _validate_load_case(
+        self,
+        load_case: dict[str, Any],
+        mat_props: dict[str, float],
+        dimensions: dict[str, float] | None,
+    ) -> LoadCaseResult:
+        """Validate a single load case."""
+        lc_id = load_case.get("id", str(uuid.uuid4())[:8])
+        
+        # Extract load parameters
+        force_n = load_case.get("force_n", 0)
+        moment_nm = load_case.get("moment_nm", 0)
+        pressure_mpa = load_case.get("pressure_mpa", 0)
+        temperature_c = load_case.get("temperature_c", 25)
+        
+        # Get material limits
+        yield_strength = mat_props.get("yield_strength_mpa", 100)
+        ultimate_strength = mat_props.get("ultimate_strength_mpa", 150)
+        max_temp = mat_props.get("max_service_temp_c", 100)
+        
+        # Calculate stress (simplified - assumes basic geometry)
+        area_mm2 = 100.0  # Default cross-sectional area
+        if dimensions:
+            width = dimensions.get("width_mm", 10)
+            height = dimensions.get("height_mm", 10)
+            area_mm2 = width * height
+        
+        # Basic stress calculation
+        axial_stress = force_n / area_mm2 if area_mm2 > 0 else 0
+        bending_stress = 0
+        if moment_nm and dimensions:
+            # Simplified bending: M*c/I where c = height/2, I = width*height^3/12
+            height = dimensions.get("height_mm", 10)
+            width = dimensions.get("width_mm", 10)
+            c = height / 2
+            i = width * (height ** 3) / 12
+            bending_stress = (moment_nm * 1000 * c) / i if i > 0 else 0
+        
+        # Combined stress (von Mises simplified for 1D)
+        max_stress = abs(axial_stress) + abs(bending_stress) + pressure_mpa
+        
+        # Calculate safety factors
+        yield_sf = yield_strength / max_stress if max_stress > 0 else float("inf")
+        ultimate_sf = ultimate_strength / max_stress if max_stress > 0 else float("inf")
+        
+        # Check temperature limits
+        temp_ok = temperature_c <= max_temp
+        
+        # Determine if load case passes
+        passed = (
+            yield_sf >= self._required_sf
+            and ultimate_sf >= self._required_sf
+            and temp_ok
+        )
+        
+        failure_mode = None
+        if yield_sf < self._required_sf:
+            failure_mode = "yield_failure"
+        elif ultimate_sf < self._required_sf:
+            failure_mode = "ultimate_failure"
+        elif not temp_ok:
+            failure_mode = "thermal_failure"
+        
+        return LoadCaseResult(
+            load_case_id=lc_id,
+            max_stress_mpa=max_stress,
+            safety_factor=min(yield_sf, ultimate_sf),
+            passed=passed,
+            failure_mode=failure_mode,
+            details={
+                "axial_stress_mpa": axial_stress,
+                "bending_stress_mpa": bending_stress,
+                "yield_sf": yield_sf,
+                "ultimate_sf": ultimate_sf,
+                "temperature_ok": temp_ok,
+            },
+        )
+
+    def _select_governing_equations(self, load_cases: list[dict[str, Any]]) -> str:
+        """Select appropriate governing equations based on load types."""
+        equations = []
+        
+        # Check load types
+        has_static = any(lc.get("type") == "static" or lc.get("force_n") for lc in load_cases)
+        has_thermal = any(lc.get("temperature_c") for lc in load_cases)
+        has_dynamic = any(lc.get("type") == "dynamic" or lc.get("frequency_hz") for lc in load_cases)
+        has_pressure = any(lc.get("pressure_mpa") for lc in load_cases)
+        
+        if has_static:
+            equations.append("Linear elasticity (Hooke's Law)")
+        if has_thermal:
+            equations.append("Thermal expansion (α·ΔT)")
+        if has_dynamic:
+            equations.append("Modal analysis (eigenvalue)")
+        if has_pressure:
+            equations.append("Pressure vessel (hoop stress)")
+        
+        if not equations:
+            equations.append("Linear elasticity (default)")
+        
+        return "; ".join(equations)
+
+    def get_material_properties(self, material: str) -> dict[str, float] | None:
+        """Get properties for a material."""
+        return self._materials.get(material.lower().replace(" ", "_"))
+
+    def list_materials(self) -> list[str]:
+        """List available materials."""
+        return list(self._materials.keys())
+
+    def add_material(self, name: str, properties: dict[str, float]) -> None:
+        """Add a custom material to the database."""
+        self._materials[name.lower().replace(" ", "_")] = properties
+
+
+class StubPhysicsAuthority(PhysicsAuthorityInterface):
+    """
+    Stub implementation for testing.
+    
+    Returns a minimal proof if design_ref present; else raises PhysicsUnderdefinedError.
+    
+    Note: This is a stub for testing. Use PhysicsAuthority for real validation.
+    """
+
+    def validate_physics(
+        self,
+        design_ref: str,
+        load_cases: list[dict[str, Any]] | None = None,
+        **kwargs: Any,
+    ) -> PhysicsProof | None:
+        if not design_ref:
+            raise PhysicsUnderdefinedError("design_ref required")
+        return PhysicsProof(
+            proof_id=f"stub_proof_{design_ref}",
+            failure_modes_covered=["stub"],
+            validation_status="stub_validated",
+            warnings=["This is a stub validation - not for production use"],
+        )

fusionagi/maa/layers/process_authority.py

@@ -0,0 +1,32 @@
+"""Layer 5 — Manufacturing Process Authority."""
+
+from typing import Any
+
+from pydantic import BaseModel, Field
+
+
+class ProcessEligibilityResult(BaseModel):
+    eligible: bool = Field(...)
+    process_type: str = Field(...)
+    reason: str | None = Field(default=None)
+
+
+class ProcessAuthority:
+    """Evaluates eligibility for additive, subtractive, hybrid."""
+
+    def process_eligible(
+        self,
+        design_ref: str,
+        process_type: str,
+        context: dict[str, Any] | None = None,
+    ) -> ProcessEligibilityResult:
+        if not design_ref or not process_type:
+            return ProcessEligibilityResult(
+                eligible=False,
+                process_type=process_type or "unknown",
+                reason="design_ref and process_type required",
+            )
+        pt = process_type.lower()
+        if pt not in ("additive", "subtractive", "hybrid"):
+            return ProcessEligibilityResult(eligible=False, process_type=process_type, reason="Unknown process_type")
+        return ProcessEligibilityResult(eligible=True, process_type=pt, reason=None)

fusionagi/maa/layers/toolpath_engine.py

@@ -0,0 +1,63 @@
+"""Layer 7 — Toolpath Determinism Engine: toolpath -> geometry -> intent -> requirement."""
+
+from typing import Any
+
+from pydantic import BaseModel, Field
+
+
+class ToolpathLineage(BaseModel):
+    """Lineage: toolpath traces to geometry, geometry to intent, intent to requirement."""
+
+    toolpath_ref: str = Field(...)
+    geometry_ref: str = Field(...)
+    intent_ref: str = Field(...)
+    requirement_ref: str | None = Field(default=None)
+    metadata: dict[str, Any] = Field(default_factory=dict)
+
+
+class ToolpathArtifact(BaseModel):
+    """Toolpath artifact + lineage (G-code or AM slice)."""
+
+    artifact_id: str = Field(...)
+    artifact_type: str = Field(..., description="cnc_gcode or am_slice")
+    content_ref: str | None = Field(default=None)
+    lineage: ToolpathLineage = Field(...)
+    metadata: dict[str, Any] = Field(default_factory=dict)
+
+
+class ToolpathEngine:
+    """Every toolpath traces to geometry -> intent -> requirement. Generates only after full closure."""
+
+    def __init__(self) -> None:
+        self._artifacts: dict[str, ToolpathArtifact] = {}
+
+    def generate(
+        self,
+        artifact_id: str,
+        artifact_type: str,
+        geometry_ref: str,
+        intent_ref: str,
+        requirement_ref: str | None = None,
+        content_ref: str | None = None,
+        metadata: dict[str, Any] | None = None,
+    ) -> ToolpathArtifact:
+        """Generate toolpath artifact with lineage; only after full closure (caller ensures)."""
+        lineage = ToolpathLineage(
+            toolpath_ref=artifact_id,
+            geometry_ref=geometry_ref,
+            intent_ref=intent_ref,
+            requirement_ref=requirement_ref,
+        )
+        artifact = ToolpathArtifact(
+            artifact_id=artifact_id,
+            artifact_type=artifact_type,
+            content_ref=content_ref,
+            lineage=lineage,
+            metadata=metadata or {},
+        )
+        self._artifacts[artifact_id] = artifact
+        return artifact
+
+    def get(self, artifact_id: str) -> ToolpathArtifact | None:
+        """Return artifact by id or None."""
+        return self._artifacts.get(artifact_id)

fusionagi/maa/schemas/__init__.py

@@ -0,0 +1,17 @@
+"""MAA schemas: MPC, DLT, intent."""
+
+from fusionagi.maa.schemas.mpc import ManufacturingProofCertificate, MPCId
+from fusionagi.maa.schemas.dlt import DLTNode, DLTContract, DLTFamily
+from fusionagi.maa.schemas.intent import EngineeringIntentGraph, IntentNode, LoadCase, RequirementType
+
+__all__ = [
+    "ManufacturingProofCertificate",
+    "MPCId",
+    "DLTNode",
+    "DLTContract",
+    "DLTFamily",
+    "EngineeringIntentGraph",
+    "IntentNode",
+    "LoadCase",
+    "RequirementType",
+]

fusionagi/maa/schemas/dlt.py

@@ -0,0 +1,41 @@
+"""Deterministic Decision Logic Tree schema: node, contract, families."""
+
+from enum import Enum
+from typing import Any
+
+from pydantic import BaseModel, Field
+
+
+class DLTFamily(str, Enum):
+    """DLT families: intent, geometry, physics, process, machine."""
+
+    INT = "DLT-INT"
+    GEO = "DLT-GEO"
+    PHY = "DLT-PHY"
+    PROC = "DLT-PROC"
+    MACH = "DLT-MACH"
+
+
+class DLTNode(BaseModel):
+    """Single node in a DLT: deterministic, evidence-backed, fail-closed."""
+
+    node_id: str = Field(..., description="Unique node id within tree")
+    family: DLTFamily = Field(...)
+    condition: str = Field(..., description="Deterministic condition expression or ref")
+    evidence_ref: str | None = Field(default=None)
+    fail_closed: bool = Field(default=True, description="On failure, reject (fail closed)")
+    children: list[str] = Field(default_factory=list, description="Child node ids")
+    metadata: dict[str, Any] = Field(default_factory=dict)
+
+
+class DLTContract(BaseModel):
+    """Immutable, versioned DLT contract."""
+
+    contract_id: str = Field(..., description="Contract identifier")
+    version: int = Field(default=1)
+    family: DLTFamily = Field(...)
+    root_id: str = Field(..., description="Root node id")
+    nodes: dict[str, DLTNode] = Field(default_factory=dict)
+    metadata: dict[str, Any] = Field(default_factory=dict)
+
+    model_config = {"frozen": False}

fusionagi/maa/schemas/intent.py

@@ -0,0 +1,38 @@
+"""Intent formalization schema: intent graph, requirement types, load cases."""
+
+from enum import Enum
+from typing import Any
+
+from pydantic import BaseModel, Field
+
+
+class RequirementType(str, Enum):
+    DIMENSIONAL = "dimensional"
+    LOAD = "load"
+    ENVIRONMENTAL = "environmental"
+    PROCESS = "process"
+    OTHER = "other"
+
+
+class IntentNode(BaseModel):
+    node_id: str = Field(..., description="Unique intent node id")
+    requirement_type: RequirementType = Field(...)
+    description: str = Field(...)
+    bounds_ref: str | None = Field(default=None)
+    load_case_ids: list[str] = Field(default_factory=list)
+    metadata: dict[str, Any] = Field(default_factory=dict)
+
+
+class LoadCase(BaseModel):
+    load_case_id: str = Field(...)
+    description: str = Field(...)
+    boundary_conditions_ref: str | None = Field(default=None)
+    metadata: dict[str, Any] = Field(default_factory=dict)
+
+
+class EngineeringIntentGraph(BaseModel):
+    intent_id: str = Field(...)
+    nodes: list[IntentNode] = Field(default_factory=list)
+    load_cases: list[LoadCase] = Field(default_factory=list)
+    environmental_bounds: dict[str, Any] = Field(default_factory=dict)
+    metadata: dict[str, Any] = Field(default_factory=dict)

fusionagi/maa/schemas/mpc.py

@@ -0,0 +1,79 @@
+"""Manufacturing Proof Certificate schema: decision lineage, simulation proof, process, machine, risk."""
+
+from enum import Enum
+from typing import Any
+
+from pydantic import BaseModel, Field
+
+
+class MPCId(BaseModel):
+    """Immutable MPC identifier: content-addressed or versioned."""
+
+    value: str = Field(..., description="Unique MPC id (e.g. hash or versioned id)")
+    version: int = Field(default=1, description="Certificate version")
+
+    def __str__(self) -> str:
+        return f"{self.value}@v{self.version}"
+
+
+class DecisionLineageEntry(BaseModel):
+    """Single entry in decision lineage."""
+
+    node_id: str = Field(..., description="DLT or decision node id")
+    family: str = Field(..., description="DLT family: INT, GEO, PHY, PROC, MACH")
+    evidence_ref: str | None = Field(default=None, description="Reference to evidence artifact")
+    outcome: str = Field(..., description="Outcome: pass, fail_closed, etc.")
+
+
+class SimulationProof(BaseModel):
+    """Binding simulation proof reference."""
+
+    proof_id: str = Field(..., description="Proof artifact id")
+    governing_equations: str | None = Field(default=None)
+    boundary_conditions_ref: str | None = Field(default=None)
+    safety_factor: float | None = Field(default=None)
+    failure_modes_covered: list[str] = Field(default_factory=list)
+
+
+class ProcessJustification(BaseModel):
+    """Process eligibility justification."""
+
+    process_type: str = Field(..., description="additive, subtractive, hybrid")
+    eligible: bool = Field(...)
+    checks_ref: str | None = Field(default=None)
+    tool_access: bool | None = None
+    thermal_distortion: bool | None = None
+    overhangs: bool | None = None
+    datum_survivability: bool | None = None
+
+
+class MachineDeclaration(BaseModel):
+    """Machine binding declaration."""
+
+    machine_id: str = Field(..., description="Bound machine id")
+    profile_ref: str | None = Field(default=None)
+    limits_ref: str | None = Field(default=None)
+    deviation_model_ref: str | None = Field(default=None)
+
+
+class RiskRegisterEntry(BaseModel):
+    """Single risk register entry."""
+
+    risk_id: str = Field(...)
+    description: str = Field(...)
+    severity: str = Field(..., description="e.g. low, medium, high")
+    mitigation_ref: str | None = Field(default=None)
+
+
+class ManufacturingProofCertificate(BaseModel):
+    """Manufacturing Proof Certificate: immutable, versioned; required for manufacturing execution."""
+
+    mpc_id: MPCId = Field(..., description="Certificate identifier")
+    decision_lineage: list[DecisionLineageEntry] = Field(default_factory=list)
+    simulation_proof: SimulationProof | None = Field(default=None)
+    process_justification: ProcessJustification | None = Field(default=None)
+    machine_declaration: MachineDeclaration | None = Field(default=None)
+    risk_register: list[RiskRegisterEntry] = Field(default_factory=list)
+    metadata: dict[str, Any] = Field(default_factory=dict)
+
+    model_config = {"frozen": True}

fusionagi/maa/tools.py

@@ -0,0 +1,393 @@
+"""Manufacturing tools: cnc_emit, am_slice, machine_bind; require valid MPC and MAA Gate.
+
+These tools generate actual manufacturing instructions:
+- cnc_emit: Generates G-code for CNC machining operations
+- am_slice: Generates slice data for additive manufacturing
+- machine_bind: Binds a design to a specific machine with capability validation
+"""
+
+import json
+import uuid
+from typing import Any
+
+from pydantic import BaseModel, Field
+
+from fusionagi._time import utc_now_iso
+from fusionagi.tools.registry import ToolDef
+from fusionagi._logger import logger
+
+
+class GCodeOutput(BaseModel):
+    """G-code output from CNC emission."""
+
+    mpc_id: str
+    machine_id: str
+    toolpath_ref: str
+    gcode: str
+    metadata: dict[str, Any] = Field(default_factory=dict)
+    generated_at: str = Field(default_factory=utc_now_iso)
+
+
+class SliceOutput(BaseModel):
+    """Slice output from AM slicing."""
+
+    mpc_id: str
+    machine_id: str
+    slice_ref: str
+    layer_count: int
+    slice_data: dict[str, Any]
+    metadata: dict[str, Any] = Field(default_factory=dict)
+    generated_at: str = Field(default_factory=utc_now_iso)
+
+
+class MachineBindOutput(BaseModel):
+    """Machine binding output."""
+
+    mpc_id: str
+    machine_id: str
+    binding_id: str
+    status: str
+    capabilities_validated: bool
+    metadata: dict[str, Any] = Field(default_factory=dict)
+    bound_at: str = Field(default_factory=utc_now_iso)
+
+
+def _generate_gcode_header(machine_id: str, mpc_id: str) -> list[str]:
+    """Generate standard G-code header."""
+    return [
+        f"; G-code generated by FusionAGI MAA",
+        f"; MPC: {mpc_id}",
+        f"; Machine: {machine_id}",
+        f"; Generated: {utc_now_iso()}",
+        "",
+        "G90 ; Absolute positioning",
+        "G21 ; Metric units (mm)",
+        "G17 ; XY plane selection",
+        "",
+    ]
+
+
+def _generate_gcode_footer() -> list[str]:
+    """Generate standard G-code footer."""
+    return [
+        "",
+        "; End of program",
+        "M5  ; Spindle stop",
+        "G28 ; Return to home",
+        "M30 ; Program end",
+    ]
+
+
+def _generate_toolpath_gcode(toolpath_ref: str) -> list[str]:
+    """
+    Generate G-code from a toolpath reference.
+    
+    In a real implementation, this would:
+    1. Load the toolpath data from storage
+    2. Convert toolpath segments to G-code commands
+    3. Apply feed rates, spindle speeds, tool changes
+    
+    For now, generates a representative sample.
+    """
+    # Parse toolpath reference for parameters
+    # Format expected: "toolpath_{type}_{id}" or custom format
+    
+    gcode_lines = [
+        "; Toolpath: " + toolpath_ref,
+        "",
+        "; Tool setup",
+        "T1 M6 ; Tool change",
+        "S12000 M3 ; Spindle on, 12000 RPM",
+        "G4 P2 ; Dwell 2 seconds for spindle",
+        "",
+        "; Rapid to start position",
+        "G0 Z5.0 ; Safe height",
+        "G0 X0 Y0 ; Start position",
+        "",
+        "; Begin cutting operations",
+    ]
+    
+    # Generate sample toolpath movements
+    # In production, these would come from the actual toolpath data
+    sample_moves = [
+        "G1 Z-1.0 F100 ; Plunge",
+        "G1 X50.0 F500 ; Cut along X",
+        "G1 Y50.0 ; Cut along Y",
+        "G1 X0 ; Return X",
+        "G1 Y0 ; Return Y",
+        "G0 Z5.0 ; Retract",
+    ]
+    
+    gcode_lines.extend(sample_moves)
+    
+    return gcode_lines
+
+
+def _cnc_emit_impl(mpc_id: str, machine_id: str, toolpath_ref: str) -> dict[str, Any]:
+    """
+    Generate CNC G-code for a manufacturing operation.
+    
+    Args:
+        mpc_id: Manufacturing Proof Certificate ID.
+        machine_id: Target CNC machine identifier.
+        toolpath_ref: Reference to toolpath data.
+    
+    Returns:
+        Dictionary with G-code and metadata.
+    """
+    logger.info(
+        "CNC emit started",
+        extra={"mpc_id": mpc_id, "machine_id": machine_id, "toolpath_ref": toolpath_ref},
+    )
+    
+    # Build G-code
+    gcode_lines = []
+    gcode_lines.extend(_generate_gcode_header(machine_id, mpc_id))
+    gcode_lines.extend(_generate_toolpath_gcode(toolpath_ref))
+    gcode_lines.extend(_generate_gcode_footer())
+    
+    gcode = "\n".join(gcode_lines)
+    
+    output = GCodeOutput(
+        mpc_id=mpc_id,
+        machine_id=machine_id,
+        toolpath_ref=toolpath_ref,
+        gcode=gcode,
+        metadata={
+            "line_count": len(gcode_lines),
+            "estimated_runtime_minutes": 5.0,  # Would be calculated from toolpath
+            "tool_changes": 1,
+        },
+    )
+    
+    logger.info(
+        "CNC emit completed",
+        extra={"mpc_id": mpc_id, "line_count": len(gcode_lines)},
+    )
+    
+    return output.model_dump()
+
+
+def _am_slice_impl(mpc_id: str, machine_id: str, slice_ref: str) -> dict[str, Any]:
+    """
+    Generate AM slice instructions for additive manufacturing.
+    
+    Args:
+        mpc_id: Manufacturing Proof Certificate ID.
+        machine_id: Target AM machine identifier.
+        slice_ref: Reference to slice/geometry data.
+    
+    Returns:
+        Dictionary with slice data and metadata.
+    """
+    logger.info(
+        "AM slice started",
+        extra={"mpc_id": mpc_id, "machine_id": machine_id, "slice_ref": slice_ref},
+    )
+    
+    # In production, this would:
+    # 1. Load the geometry from slice_ref
+    # 2. Apply slicing algorithm with machine-specific parameters
+    # 3. Generate layer-by-layer toolpaths
+    # 4. Calculate support structures if needed
+    
+    # Generate representative slice data
+    layer_height_mm = 0.2
+    num_layers = 100  # Would be calculated from geometry height
+    
+    slice_data = {
+        "format_version": "1.0",
+        "machine_profile": machine_id,
+        "settings": {
+            "layer_height_mm": layer_height_mm,
+            "infill_percentage": 20,
+            "infill_pattern": "gyroid",
+            "wall_count": 3,
+            "top_layers": 4,
+            "bottom_layers": 4,
+            "support_enabled": True,
+            "support_angle_threshold": 45,
+            "print_speed_mm_s": 60,
+            "travel_speed_mm_s": 150,
+            "retraction_distance_mm": 1.0,
+            "retraction_speed_mm_s": 45,
+        },
+        "layers": [
+            {
+                "index": i,
+                "z_mm": i * layer_height_mm,
+                "perimeters": 3,
+                "infill_present": i > 3 and i < num_layers - 3,
+                "support_present": i < 20,
+            }
+            for i in range(min(num_layers, 10))  # Sample first 10 layers
+        ],
+        "statistics": {
+            "total_layers": num_layers,
+            "estimated_material_g": 45.2,
+            "estimated_time_minutes": 120,
+            "bounding_box_mm": {"x": 50, "y": 50, "z": num_layers * layer_height_mm},
+        },
+    }
+    
+    output = SliceOutput(
+        mpc_id=mpc_id,
+        machine_id=machine_id,
+        slice_ref=slice_ref,
+        layer_count=num_layers,
+        slice_data=slice_data,
+        metadata={
+            "estimated_material_g": slice_data["statistics"]["estimated_material_g"],
+            "estimated_time_minutes": slice_data["statistics"]["estimated_time_minutes"],
+        },
+    )
+    
+    logger.info(
+        "AM slice completed",
+        extra={"mpc_id": mpc_id, "layer_count": num_layers},
+    )
+    
+    return output.model_dump()
+
+
+def _machine_bind_impl(mpc_id: str, machine_id: str) -> dict[str, Any]:
+    """
+    Bind a design (via MPC) to a specific machine.
+    
+    Args:
+        mpc_id: Manufacturing Proof Certificate ID.
+        machine_id: Target machine identifier.
+    
+    Returns:
+        Dictionary with binding confirmation and validation results.
+    """
+    logger.info(
+        "Machine bind started",
+        extra={"mpc_id": mpc_id, "machine_id": machine_id},
+    )
+    
+    # In production, this would:
+    # 1. Load the MPC to get design requirements
+    # 2. Load the machine profile
+    # 3. Validate machine capabilities against design requirements
+    # 4. Check envelope, tolerances, material compatibility
+    # 5. Record the binding in the system
+    
+    binding_id = f"binding_{mpc_id}_{machine_id}_{uuid.uuid4().hex[:8]}"
+    
+    # Simulate capability validation
+    capabilities_validated = True
+    validation_results = {
+        "envelope_check": {"status": "pass", "details": "Design fits within machine envelope"},
+        "tolerance_check": {"status": "pass", "details": "Machine can achieve required tolerances"},
+        "material_check": {"status": "pass", "details": "Machine supports specified material"},
+        "feature_check": {"status": "pass", "details": "Machine can produce required features"},
+    }
+    
+    output = MachineBindOutput(
+        mpc_id=mpc_id,
+        machine_id=machine_id,
+        binding_id=binding_id,
+        status="bound",
+        capabilities_validated=capabilities_validated,
+        metadata={
+            "validation_results": validation_results,
+        },
+    )
+    
+    logger.info(
+        "Machine bind completed",
+        extra={"binding_id": binding_id, "validated": capabilities_validated},
+    )
+    
+    return output.model_dump()
+
+
+def cnc_emit_tool() -> ToolDef:
+    """
+    CNC G-code emission tool.
+    
+    Generates G-code for CNC machining operations based on:
+    - MPC: Manufacturing Proof Certificate with validated design
+    - Machine: Target CNC machine configuration
+    - Toolpath: Reference to toolpath data
+    
+    Returns structured output with G-code and metadata.
+    """
+    return ToolDef(
+        name="cnc_emit",
+        description="Emit CNC G-code for bound machine; requires valid MPC",
+        fn=_cnc_emit_impl,
+        parameters_schema={
+            "type": "object",
+            "properties": {
+                "mpc_id": {"type": "string", "description": "Manufacturing Proof Certificate ID"},
+                "machine_id": {"type": "string", "description": "Target CNC machine ID"},
+                "toolpath_ref": {"type": "string", "description": "Reference to toolpath data"},
+            },
+            "required": ["mpc_id", "machine_id", "toolpath_ref"],
+        },
+        permission_scope=["manufacturing"],
+        timeout_seconds=60.0,
+        manufacturing=True,
+    )
+
+
+def am_slice_tool() -> ToolDef:
+    """
+    AM slice instruction tool.
+    
+    Generates slice data for additive manufacturing operations:
+    - Layer-by-layer toolpaths
+    - Infill patterns
+    - Support structure calculations
+    - Machine-specific settings
+    
+    Returns structured output with slice data and metadata.
+    """
+    return ToolDef(
+        name="am_slice",
+        description="Emit AM slice instructions; requires valid MPC",
+        fn=_am_slice_impl,
+        parameters_schema={
+            "type": "object",
+            "properties": {
+                "mpc_id": {"type": "string", "description": "Manufacturing Proof Certificate ID"},
+                "machine_id": {"type": "string", "description": "Target AM machine ID"},
+                "slice_ref": {"type": "string", "description": "Reference to geometry/slice data"},
+            },
+            "required": ["mpc_id", "machine_id", "slice_ref"],
+        },
+        permission_scope=["manufacturing"],
+        timeout_seconds=60.0,
+        manufacturing=True,
+    )
+
+
+def machine_bind_tool() -> ToolDef:
+    """
+    Machine binding declaration tool.
+    
+    Binds a design (via MPC) to a specific machine:
+    - Validates machine capabilities against design requirements
+    - Checks envelope, tolerances, material compatibility
+    - Records the binding for audit trail
+    
+    Returns structured output with binding confirmation.
+    """
+    return ToolDef(
+        name="machine_bind",
+        description="Bind design to machine; requires valid MPC",
+        fn=_machine_bind_impl,
+        parameters_schema={
+            "type": "object",
+            "properties": {
+                "mpc_id": {"type": "string", "description": "Manufacturing Proof Certificate ID"},
+                "machine_id": {"type": "string", "description": "Target machine ID"},
+            },
+            "required": ["mpc_id", "machine_id"],
+        },
+        permission_scope=["manufacturing"],
+        timeout_seconds=10.0,
+        manufacturing=True,
+    )

fusionagi/maa/versioning.py

@@ -0,0 +1,43 @@
+"""Logic tree and MPC versioning; changes require re-certification; historical preserved."""
+
+from typing import Any
+
+
+class VersionStore:
+    """Immutable versioned store: logic trees and MPCs; historical read-only."""
+
+    def __init__(self) -> None:
+        self._versions: dict[str, list[tuple[int, Any]]] = {}  # id -> [(version, payload), ...]
+
+    def put(self, id_key: str, version: int, payload: Any) -> None:
+        """Store a new version; versions must be monotonic."""
+        if id_key not in self._versions:
+            self._versions[id_key] = []
+        existing = self._versions[id_key]
+        if existing and existing[-1][0] >= version:
+            raise ValueError(f"Version must be greater than {existing[-1][0]}")
+        existing.append((version, payload))
+
+    def get(self, id_key: str, version: int | None = None) -> Any | None:
+        """Return payload for id; optional version (latest if omitted)."""
+        if id_key not in self._versions:
+            return None
+        versions = self._versions[id_key]
+        if not versions:
+            return None
+        if version is None:
+            return versions[-1][1]
+        for v, payload in versions:
+            if v == version:
+                return payload
+        return None
+
+    def get_latest_version(self, id_key: str) -> int | None:
+        """Return latest version number for id or None."""
+        if id_key not in self._versions or not self._versions[id_key]:
+            return None
+        return self._versions[id_key][-1][0]
+
+    def history(self, id_key: str) -> list[tuple[int, Any]]:
+        """Return full version history (read-only)."""
+        return list(self._versions.get(id_key, []))