feat: add evaluation framework for AURIS models with metrics computation

feat: add SONICS dataset loader for AURIS training pipeline

feat: add AURIS training pipeline module for dataset loading and model training

feat: add wav2vec2 inference service for AURIS music detection

feat: implement meta-classifier service for AURIS score fusion

feat: update decisionSource assertion to check for auris_ prefix

feat: change decision_source type to string in AnalysisSummary schema

feat: update requirements.txt to include CLAP and FST dependencies

feat: integrate CLAP and FST detection into score fusion process

feat: add CLAP and FST indicators to score fusion results

feat: initialize CLAPDetectorService and FSTClientService in analyze.py

feat: add CLAPDetectorService and FSTClientService imports in analyze.py

feat: add parsing functions for CLAP and FST results in score fusion

feat: enhance fuse_scores function with CLAP and FST results integration

feat: add imports for CLAPResult and FSTResult in score_fusion.py

feat: add FST client for AI music detection using HuggingFace API

feat: implement CLAP-based AI music detection service

fix: add test_audio directory to .gitignore

refactor: improve test function descriptions and structure in test_analyze.py

feat: add vocal analysis module for AI music detection

feat: implement score fusion engine for AI music detection

feat: add audio feature extraction module for AI music detection

fix: enhance analyze endpoint with full audio analysis pipeline and vocal analysis support

fix: expand decision_source options in AnalysisSummary schema

fix: update audio processing endpoint to default options to all-off when missing

fix: enhance audio processing tests with improved validation and error handling

fix: update audio processing endpoint to accept options as JSON string and validate input

fix: add tests for auth failure without API key and ensure rate limiting applies regardless of auth

fix: implement rate limiting for audio processing endpoint and improve file size handling

fix: implement rate limiting for analysis endpoints to prevent abuse

fix: update CORS origins and API key requirements in README for production guidelines

fix: update status code assertions in commend generate tests for better error handling

fix: enhance API key validation and implement stale IP eviction in rate limiting

fix: improve CORS origin handling with warnings for production and defaults for development

fix: remove unnecessary CORS origins environment variable from Dockerfile

fix: standardize error response format and update request payload keys in commend endpoints

fix: enhance error responses in audio processing endpoint with structured details

fix: update audio processing tests to handle multiple error status codes

fix: update analysis and commend endpoints with additional tests and default values

fix: update API endpoints in README for consistency and clarity

fix: update project structure in README to reflect accurate directory names and organization

fix: remove base_url from service_status response for cleaner output

fix: enhance error handling in YouTube analysis and implement API key validation with rate limiting

fix: add analysisMode to AnalysisResult and update decisionSource handling in analyze functions

fix: enhance CORS origin handling and update validation for YouTube URLs

fix: update filterwarnings in pyproject.toml to ignore additional deprecation warnings

chore: update pyproject.toml and requirements.txt with project metadata and comments

fix: update health check test assertions for correct response keys

refactor: update test client fixture to use context manager for better resource management

feat: add tests for Crown Commend health and generate endpoints