AGENTS.md@docs/other/axiom/axiom_implementation/utils · git:20260906.82c8031 · 2026-09-06 · sha256 99db26fecfc5d3b0
AGENTS.md@docs/other/axiom/axiom_implementation/utils git:20260906.82c8031A
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# Utils - Agent Scaffolding ## Overview **Purpose**: Responsible for `Utils` operations within the GNN pipeline architecture. **Category**: Generated Pipeline Component **Status**: Development --- ## Core Functionality ### Primary Responsibilities Visualization Utilities for AXIOM Implementation ============================================== Implements visualization functions for AXIOM agent analysis including slot positions, learning curves, model complexity evolution, and performance metrics. Authors: AXIOM Research Team Institution: VER ### Extracted Code Entities - **Classes**: ActiveInferenceUtils, BayesianUtils, BenchmarkSuite, EfficiencyAnalyzer, LinearDynamics, NumericalUtils, PerformanceMetrics, PerformanceTracker, StructureLearningUtils, VariationalInference - **Functions**: analyze_bottlenecks, benchmark_bayesian_inference, benchmark_matrix_operations, bmr_merge_score, clean_for_json, compare_results, compute_efficiency_metrics, compute_variational_lower_bound, convert_numpy, create_axiom_dashboard, dirichlet_entropy, dirichlet_expectation, ensure_positive_definite, entropy, expansion_criterion, expected_free_energy, fit_linear_dynamics, get_memory_stats, get_operation_stats, get_summary, kl_divergence, load_report, log_categorical, log_multivariate_normal, log_normal_inverse_wishart, log_sum_exp, normalize_log_probabilities, plot_mixture_components, plot_model_complexity, plot_performance_metrics, plot_reward_history, posterior_predictive_likelihood, predict_linear_dynamics, record_metric, register_benchmark, reset, run_all_benchmarks, run_benchmark, safe_cholesky, safe_extract, save_report, softmax_policy, start_memory_monitoring, stick_breaking_weights, stop_memory_monitoring, suggest_optimizations, test_mathematical_utilities, test_performance_utilities, test_visualization_utilities, track_operation, update_assignment_probabilities, update_mixing_weights, update_niw_parameters, visualize_slots ## Implementation Details This module follows the Thin Orchestrator Pattern. It is governed by the real-implementation testing policy.