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Reasoning Forge - Multi-Agent Reasoning Training Data Generator
The reasoning forge takes concepts and generates high-quality multi-perspective
reasoning training data. Each agent analyzes from its unique perspective, a critic
evaluates the ensemble, and a synthesis engine combines them into coherent training examples.
New in v2.0:
- EpistemicMetrics: RC+xi tension/coherence measurement
- QuantumSpiderweb: 5D belief propagation + attractor detection
- CocoonSync: Federated encrypted state synchronization
- ForgeEngine.forge_with_feedback(): Closed critic loop
- ForgeEngine.forge_with_debate(): Multi-turn agent debate
"""
from reasoning_forge.forge_engine import ForgeEngine
from reasoning_forge.agents.base_agent import ReasoningAgent
from reasoning_forge.agents.newton_agent import NewtonAgent
from reasoning_forge.agents.quantum_agent import QuantumAgent
from reasoning_forge.agents.ethics_agent import EthicsAgent
from reasoning_forge.agents.philosophy_agent import PhilosophyAgent
from reasoning_forge.agents.davinci_agent import DaVinciAgent
from reasoning_forge.agents.empathy_agent import EmpathyAgent
from reasoning_forge.agents.critic_agent import CriticAgent
from reasoning_forge.synthesis_engine import SynthesisEngine
from reasoning_forge.problem_generator import ProblemGenerator
from reasoning_forge.epistemic_metrics import EpistemicMetrics
from reasoning_forge.quantum_spiderweb import QuantumSpiderweb, NodeState, IdentityGlyph
from reasoning_forge.cocoon_sync import CocoonSync, CocoonKeyManager
__all__ = [
"ForgeEngine",
"ReasoningAgent",
"NewtonAgent",
"QuantumAgent",
"EthicsAgent",
"PhilosophyAgent",
"DaVinciAgent",
"EmpathyAgent",
"CriticAgent",
"SynthesisEngine",
"ProblemGenerator",
"EpistemicMetrics",
"QuantumSpiderweb",
"NodeState",
"IdentityGlyph",
"CocoonSync",
"CocoonKeyManager",
]
__version__ = "2.0.0"
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