Implemented the spoken_word LLM review module

tests/test_new_config.py

@@ -6,6 +6,7 @@ from audita.core.config import (
     DEFAULT_GLOSSARY_CONFIDENCE_THRESHOLD,
     DEFAULT_HOMOPHONES_CONFIDENCE_THRESHOLD,
     DEFAULT_NORMALIZE_MAX_SEGMENT_GAP,
+    DEFAULT_SPOKEN_WORD_CONFIDENCE_THRESHOLD,
     DEFAULT_WORK_DIR_RETENTION,
 )
 from audita.core.errors import AuditaConfigError
@@ -19,6 +20,7 @@ def test_default_config_allows_missing_api_key():
     assert config.module_keys == DEFAULT_MODULE_KEYS
     assert config.glossary_confidence_threshold == DEFAULT_GLOSSARY_CONFIDENCE_THRESHOLD
     assert config.homophones_confidence_threshold == DEFAULT_HOMOPHONES_CONFIDENCE_THRESHOLD
+    assert config.spoken_word_confidence_threshold == DEFAULT_SPOKEN_WORD_CONFIDENCE_THRESHOLD
     assert config.normalize_max_segment_gap == DEFAULT_NORMALIZE_MAX_SEGMENT_GAP
     assert config.work_dir_retention == DEFAULT_WORK_DIR_RETENTION
 
@@ -57,15 +59,18 @@ def test_threshold_overrides_take_precedence():
         env={
             "AUDITA_GLOSSARY_CONFIDENCE_THRESHOLD": "0.6",
             "AUDITA_HOMOPHONES_CONFIDENCE_THRESHOLD": "0.7",
+            "AUDITA_SPOKEN_WORD_CONFIDENCE_THRESHOLD": "0.75",
         },
         overrides=ConfigOverrides(
             glossary_confidence_threshold=0.85,
             homophones_confidence_threshold=0.9,
+            spoken_word_confidence_threshold=0.95,
         ),
     )
 
     assert config.glossary_confidence_threshold == 0.85
     assert config.homophones_confidence_threshold == 0.9
+    assert config.spoken_word_confidence_threshold == 0.95
 
 
 @pytest.mark.parametrize(
@@ -86,6 +91,7 @@ def test_invalid_module_sequences_are_rejected(value):
     [
         "AUDITA_GLOSSARY_CONFIDENCE_THRESHOLD",
         "AUDITA_HOMOPHONES_CONFIDENCE_THRESHOLD",
+        "AUDITA_SPOKEN_WORD_CONFIDENCE_THRESHOLD",
     ],
 )
 def test_invalid_thresholds_are_rejected(env_name):