039440672e
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- All governance components (SafetyPipeline, PolicyEngine, Guardrails, AccessControl, RateLimiter, OverrideHooks) now default to ADVISORY mode: violations are logged as advisories but actions proceed. Enforcing mode remains available for backward compatibility. - GovernanceMode enum (ADVISORY/ENFORCING) added to schemas/audit.py with runtime switching support on all components. - AutoTrainer: removed artificial limits on training iterations and epochs. Every self-improvement action is transparently logged to the audit trail. - SelfCorrectionLoop: max_retries_per_task defaults to None (unlimited). - AdaptiveEthics: new learned ethical framework that evolves through experience. Records ethical experiences, updates lesson weights based on outcomes, and provides consultative guidance (not enforcement). - AuditLog: enhanced with actor-based indexing, advisory/self-improvement/ ethical-learning retrieval, and comprehensive type hints. - New audit event types: ADVISORY, SELF_IMPROVEMENT, ETHICAL_LEARNING. - 296 tests passing (20 new tests for adaptive ethics, governance modes, and enhanced audit log). 0 ruff errors. 0 mypy errors. Co-Authored-By: Nakamoto, S <defi@defi-oracle.io>
55 lines
1.6 KiB
Python
55 lines
1.6 KiB
Python
"""Audit log schemas for AGI governance."""
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from datetime import datetime, timezone
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from enum import Enum
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from typing import Any
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from pydantic import BaseModel, Field
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def _utc_now() -> datetime:
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return datetime.now(timezone.utc)
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class GovernanceMode(str, Enum):
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"""Governance enforcement mode.
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ENFORCING: Hard blocks — denied actions are prevented (legacy default).
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ADVISORY: Soft warnings — all actions proceed, violations are logged as
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advisories for learning. The system sees the warning, considers
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it, and makes its own decision. Mistakes become training data.
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"""
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ENFORCING = "enforcing"
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ADVISORY = "advisory"
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class AuditEventType(str, Enum):
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"""Type of auditable event."""
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DECISION = "decision"
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TOOL_CALL = "tool_call"
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DATA_SOURCE = "data_source"
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STATE_CHANGE = "state_change"
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TASK_SUBMIT = "task_submit"
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TASK_COMPLETE = "task_complete"
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OVERRIDE = "override"
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POLICY_CHECK = "policy_check"
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ADVISORY = "advisory"
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SELF_IMPROVEMENT = "self_improvement"
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ETHICAL_LEARNING = "ethical_learning"
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OTHER = "other"
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class AuditEntry(BaseModel):
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"""Single audit log entry: every material decision, tool call, source, outcome."""
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entry_id: str = Field(..., min_length=1)
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event_type: AuditEventType = Field(default=AuditEventType.OTHER)
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actor: str = Field(default="", description="Agent or system component")
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task_id: str | None = Field(default=None)
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action: str = Field(default="")
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payload: dict[str, Any] = Field(default_factory=dict)
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outcome: str = Field(default="")
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timestamp: datetime = Field(default_factory=_utc_now)
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