6afdb4b148
Lucidia Core - AI reasoning engines for specialized domains: - Physicist (867 lines) - energy modeling, force calculations - Mathematician (760 lines) - symbolic computation, proofs - Geologist (654 lines) - terrain modeling, stratigraphy - Engineer (599 lines) - structural analysis, optimization - Painter (583 lines) - visual generation, graphics - Chemist (569 lines) - molecular analysis, reactions - Analyst (505 lines) - pattern recognition, insights - Plus: architect, researcher, mediator, speaker, poet, navigator Features: - FastAPI wrapper with REST endpoints for each agent - CLI with `lucidia list`, `lucidia run`, `lucidia api` - Codex YAML configurations for agent personalities - Quantum engine extensions 12,512 lines of Python across 91 files. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
52 lines
1.7 KiB
Python
52 lines
1.7 KiB
Python
"""Decision logic for Lucidia reasoning duet rounds."""
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from __future__ import annotations
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from dataclasses import dataclass
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from typing import Literal
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from .validator import ValidationResult
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Decision = Literal["accept", "revise", "reject"]
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Winner = Literal["LLM", "Ψ′"]
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@dataclass
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class ArbiterDecision:
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decision: Decision
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winner: Winner
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reasons: list[str]
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def to_payload(self) -> dict[str, object]:
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return {
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"decision": self.decision,
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"winner": self.winner,
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"reasons": list(self.reasons),
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}
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def decide(validation: ValidationResult) -> ArbiterDecision:
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"""Derive an arbiter decision from a validation result."""
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reasons: list[str] = []
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if not validation.logic_chain_valid or validation.contradictions or validation.banned_fallbacks_detected:
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if not validation.logic_chain_valid:
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reasons.append("logic_chain_invalid")
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if validation.contradictions:
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reasons.append("contradictions")
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if validation.banned_fallbacks_detected:
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reasons.append("banned_fallbacks")
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return ArbiterDecision(decision="reject", winner="Ψ′", reasons=reasons or ["validation_failure"])
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if validation.missing_premises or validation.missing_compliance_steps:
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if validation.missing_premises:
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reasons.append("missing_premises")
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if validation.missing_compliance_steps:
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reasons.append("missing_compliance_steps")
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return ArbiterDecision(decision="revise", winner="Ψ′", reasons=reasons)
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return ArbiterDecision(decision="accept", winner="LLM", reasons=["passes_all_checks"])
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__all__ = ["ArbiterDecision", "decide"]
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