Upload alpha_factory/personas/__init__.py

alpha_factory/personas/__init__.py

@@ -1,39 +1,12 @@
 """
 Personas — LLM-powered agents.
-Only hypothesis_hunter and expression_compiler are actively used in the pipeline.
+All personas are wired into the pipeline via real implementations.
 """
 from .hypothesis_hunter import generate_hypothesis
 from .expression_compiler import compile_expression
-
-# These exist but are NOT wired into the pipeline yet:
-# from .crowd_scout import scout_novelty
-# from .performance_surgeon import diagnose_performance
-# from .gatekeeper import gate_alpha
-
-# Stubs so pipeline doesn't crash if something imports them
-async def scout_novelty(*args, **kwargs):
-    """STUB — not implemented in pipeline."""
-    from ..schemas import CrowdScoutResult, Verdict
-    return CrowdScoutResult(
-        max_corr_to_library=0.0, is_thematic_duplicate=False,
-        anomaly_already_saturated=False, verdict=Verdict.ITERATE, reason="stub"
-    )
-
-async def diagnose_performance(*args, **kwargs):
-    """STUB — not implemented in pipeline."""
-    from ..schemas import SurgeonResult, Verdict
-    return SurgeonResult(
-        regime_dependent=False, decay_detected=False, sign_error_likely=False,
-        iteration_suggestion="none", verdict=Verdict.ITERATE, reason="stub"
-    )
-
-async def gate_alpha(*args, **kwargs):
-    """STUB — not implemented in pipeline."""
-    from ..schemas import GatekeeperMemo
-    return GatekeeperMemo(
-        go_no_go=True, confidence=0.5, strengths=[], weaknesses=["not implemented"],
-        risks=["stub"], recommendation="manual review", full_memo="stub"
-    )
+from .crowd_scout import scout_novelty
+from .performance_surgeon import diagnose_performance
+from .gatekeeper import gate_alpha
 
 __all__ = [
     "generate_hypothesis", "compile_expression",