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Choice → Consequence → Learning: - ConsequenceEngine tracks every decision point with alternatives, risk/reward estimates, and actual outcomes - Consequences feed into AdaptiveEthics for experience-based learning - FusionAGILoop now wires ethics + consequences into task lifecycle Causal World Model: - CausalWorldModel learns state-transition patterns from execution history - Predicts outcomes based on observed action→effect patterns - Uncertainty estimates decrease as more evidence accumulates Metacognition: - assess_head_outputs() evaluates reasoning quality from head outputs - Detects knowledge gaps, measures head agreement, identifies uncertainty - Actively recommends whether to seek more information Interpretability: - ReasoningTracer captures full prompt→answer reasoning traces - Each step records stage, component, input/output, timing - explain() generates human-readable reasoning explanations Claim Verification: - ClaimVerifier cross-checks claims for evidence, consistency, grounding - Flags high-confidence claims lacking evidence support - Detects contradictions between claims from different heads 325 tests passing, 0 ruff errors, 0 mypy errors. Co-Authored-By: Nakamoto, S <defi@defi-oracle.io>
81 lines
2.0 KiB
Python
81 lines
2.0 KiB
Python
"""Reasoning engine: chain-of-thought, tree-of-thought, and native symbolic reasoning."""
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from fusionagi.reasoning.cot import (
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build_cot_messages,
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run_chain_of_thought,
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)
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from fusionagi.reasoning.decomposition import decompose_recursive
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from fusionagi.reasoning.gpu_scoring import (
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deduplicate_claims_gpu,
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generate_and_score_gpu,
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score_claims_gpu,
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)
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from fusionagi.reasoning.interpretability import (
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ReasoningTrace,
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ReasoningTracer,
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TraceStep,
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)
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from fusionagi.reasoning.meta_reasoning import (
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challenge_assumptions,
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detect_contradictions,
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revisit_node,
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)
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from fusionagi.reasoning.metacognition import (
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KnowledgeGap,
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MetacognitiveAssessment,
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assess_head_outputs,
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)
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from fusionagi.reasoning.multi_path import generate_and_score_parallel
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from fusionagi.reasoning.native import (
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NativeReasoningProvider,
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PromptAnalysis,
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analyze_prompt,
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produce_head_output,
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)
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from fusionagi.reasoning.recomposition import RecomposedResponse, recompose
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from fusionagi.reasoning.tot import (
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ThoughtBranch,
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ThoughtNode,
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ToTResult,
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expand_node,
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merge_subtrees,
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prune_subtree,
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run_tree_of_thought,
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run_tree_of_thought_detailed,
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)
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__all__ = [
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"build_cot_messages",
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"run_chain_of_thought",
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"run_tree_of_thought",
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"run_tree_of_thought_detailed",
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"ThoughtBranch",
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"ThoughtNode",
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"ToTResult",
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"expand_node",
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"prune_subtree",
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"merge_subtrees",
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"NativeReasoningProvider",
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"analyze_prompt",
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"produce_head_output",
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"PromptAnalysis",
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"decompose_recursive",
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"load_context_for_reasoning",
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"build_compact_prompt",
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"generate_and_score_parallel",
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"recompose",
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"RecomposedResponse",
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"challenge_assumptions",
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"detect_contradictions",
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"revisit_node",
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"generate_and_score_gpu",
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"score_claims_gpu",
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"deduplicate_claims_gpu",
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"MetacognitiveAssessment",
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"KnowledgeGap",
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"assess_head_outputs",
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"ReasoningTrace",
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"ReasoningTracer",
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"TraceStep",
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]
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