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Agent Config Versioning (CONCEPT:AHE-3.2)

Overview

Immutable config snapshots with forward-only rollback, structured diffs, and SUPERSEDES edge chains. Ported from MATE's AgentConfigVersion pattern. OWL-inferred configDrift and stableConfig.

Implementation Details

  • Source Code: agent_utilities/observability/config_versioning.py
  • Pillar: AHE

Documentation Coverage

This is an auto-generated dedicated concept page to ensure 100% documentation coverage across the ecosystem.

Agent-Interpretable Model Evolver (CONCEPT:AHE-3.3)

Overview

Autoresearch loop that evolves scikit-learn-compatible model classes optimized for dual objectives: predictive accuracy and LLM readability via __str__(). Pareto frontier tracking, reward decomposition (AHE-3.10), and KG-native evolutionary lineage. Based on arXiv:2605.03808. MCP-delegated model fitting via data-science-mcp.

Implementation Details

  • Source Code: agent_utilities/harness/imodel_evolver.py
  • Pillar: AHE

Documentation Coverage

This is an auto-generated dedicated concept page to ensure 100% documentation coverage across the ecosystem.

LLM-Graded Interpretability Tests (CONCEPT:AHE-3.3)

Overview

6-category, 200-test protocol measuring whether an LLM can simulate model predictions, feature effects, and counterfactuals from __str__() alone. Reward hacking detection, numerical tolerance grading, and EvalRunner (AHE-3.12) integration. Based on arXiv:2605.03808.

Implementation Details

  • Source Code: agent_utilities/harness/continuous_evaluation_engine.py
  • Pillar: AHE

Documentation Coverage

This is an auto-generated dedicated concept page to ensure 100% documentation coverage across the ecosystem.