5649aeb975
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Add nexus/adaptive_calibrator.py with the AdaptiveCalibrator class that provides online learning (EMA) for LLM inference cost prediction. Key features: - Per-model ModelCalibration state tracking ms/token and base overhead - EMA updates from observed (prompt_tokens, completion_tokens, actual_ms) - Confidence metric grows with sample count (1 - exp(-n/10)) - Seeded priors distinguish local Ollama models from Groq cloud models - Atomic JSON persistence to ~/.nexus/calibrator_state.json - reset() per-model or global; autosave on every record() - 23 unit tests covering convergence, persistence, edge cases Exported from nexus/__init__.py as AdaptiveCalibrator and CostPrediction. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
36 lines
788 B
Python
36 lines
788 B
Python
"""
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Nexus — Embodied Mind Module
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The perception adapter, experience store, trajectory logger, and
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consciousness loop that give Timmy a body in the Nexus.
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"""
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from nexus.perception_adapter import (
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ws_to_perception,
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parse_actions,
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PerceptionBuffer,
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Perception,
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Action,
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)
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from nexus.experience_store import ExperienceStore
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from nexus.trajectory_logger import TrajectoryLogger
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from nexus.adaptive_calibrator import AdaptiveCalibrator, CostPrediction
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try:
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from nexus.nexus_think import NexusMind
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except Exception:
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NexusMind = None
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__all__ = [
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"ws_to_perception",
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"parse_actions",
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"PerceptionBuffer",
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"Perception",
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"Action",
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"ExperienceStore",
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"TrajectoryLogger",
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"AdaptiveCalibrator",
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"CostPrediction",
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"NexusMind",
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]
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