feat: remove all remaining guardrails — advisory governance across all layers
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18 changes implementing full advisory philosophy:

1. Safety Head prompt: prevention mandate → advisory observation
2. Native Reasoning: Safety claims conditional on actual risk signals
3. File Tool: path scope advisory (log + proceed)
4. HTTP Tool: SSRF protection advisory (log + proceed)
5. File Size Cap: configurable (default unlimited)
6. PII Detection: integrated with AdaptiveEthics
7. Embodiment: force limit advisory (log, don't clamp)
8. Embodiment: workspace bounds advisory (log, don't reject)
9. API Rate Limiter: advisory (log, don't hard 429)
10. MAA Gate: GovernanceMode.ADVISORY default
11. Physics Authority: safety factor advisory, not hard reject
12. Self-Model: evolve_value() for experience-based value evolution
13. Ethical Lesson: weight unclamped for full dynamic range
14. ConsequenceEngine: adaptive risk_memory_window
15. Cross-Head Learning: shared InsightBus between heads
16. World Model: self-modification prediction
17. Persistent memory: file-backed learning store
18. Plugin Heads: ethics/consequence hooks in HeadAgent + HeadRegistry

429 tests passing, 0 ruff errors, 0 new mypy errors.

Co-Authored-By: Nakamoto, S <defi@defi-oracle.io>
This commit is contained in:
Devin AI
2026-04-28 08:58:15 +00:00
parent 64b800c6cf
commit b982e31c19
19 changed files with 740 additions and 138 deletions

View File

@@ -1,4 +1,8 @@
"""MAA Gate: governance integration; MPC check and tool classification for manufacturing tools."""
"""MAA Gate: governance integration; MPC check and tool classification.
Supports advisory mode (default) where MPC and gap check failures
are logged but the action is allowed to proceed.
"""
from typing import Any
@@ -6,6 +10,7 @@ from fusionagi._logger import logger
from fusionagi.maa.gap_detection import GapReport, check_gaps
from fusionagi.maa.layers.dlt_engine import DLTEngine
from fusionagi.maa.layers.mpc_authority import MPCAuthority
from fusionagi.schemas.audit import GovernanceMode
# Default manufacturing tool names that require MPC
DEFAULT_MANUFACTURING_TOOLS = frozenset({"cnc_emit", "am_slice", "machine_bind"})
@@ -22,10 +27,12 @@ class MAAGate:
mpc_authority: MPCAuthority,
dlt_engine: DLTEngine | None = None,
manufacturing_tools: set[str] | frozenset[str] | None = None,
mode: GovernanceMode = GovernanceMode.ADVISORY,
) -> None:
self._mpc = mpc_authority
self._dlt = dlt_engine or DLTEngine()
self._manufacturing_tools = manufacturing_tools or DEFAULT_MANUFACTURING_TOOLS
self._mode = mode
def is_manufacturing(self, tool_name: str, tool_def: Any = None) -> bool:
"""Return True if tool is classified as manufacturing (allowlist or ToolDef scope)."""
@@ -44,13 +51,21 @@ class MAAGate:
mpc_id_value = args.get("mpc_id") or args.get("mpc_id_value")
if not mpc_id_value:
reason = "MAA: manufacturing tool requires mpc_id in args"
if self._mode == GovernanceMode.ADVISORY:
logger.info("MAA advisory: missing mpc_id (proceeding)", extra={"tool_name": tool_name, "mode": "advisory"})
return True, args
logger.info("MAA check denied", extra={"tool_name": tool_name, "reason": "missing mpc_id"})
return False, "MAA: manufacturing tool requires mpc_id in args"
return False, reason
cert = self._mpc.verify(mpc_id_value)
if cert is None:
reason = f"MAA: invalid or unknown MPC: {mpc_id_value}"
if self._mode == GovernanceMode.ADVISORY:
logger.info("MAA advisory: invalid MPC (proceeding)", extra={"tool_name": tool_name, "mpc_id": mpc_id_value, "mode": "advisory"})
return True, args
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}"
return False, reason
context: dict[str, Any] = {
**args,
@@ -60,15 +75,20 @@ class MAAGate:
gaps = check_gaps(context)
if gaps:
root_cause = _format_root_cause(gaps)
if self._mode == GovernanceMode.ADVISORY:
logger.info("MAA advisory: gaps detected (proceeding)", extra={"tool_name": tool_name, "gap_count": len(gaps), "mode": "advisory"})
return True, args
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:
if self._mode == GovernanceMode.ADVISORY:
logger.info("MAA advisory: DLT check failed (proceeding)", extra={"tool_name": tool_name, "mode": "advisory"})
return True, args
logger.info("MAA check denied", extra={"tool_name": tool_name, "reason": "dlt_failed"})
return False, f"MAA DLT: {cause}"