Updated the LLM prompt to enforce acoustic/phoenetic similarity requirements for proposed corrections

tests/test_prompts.py

@@ -0,0 +1,34 @@
+from audita.chunking import chunk_transcript
+from audita.prompts import build_glossary_correction_messages
+from audita.schemas import parse_glossary_yaml, parse_transcript_json
+
+
+def test_prompt_requires_acoustically_plausible_transcription_errors():
+    transcript = parse_transcript_json(
+        """
+        [
+          {"speaker": "Eric", "start": 0.0, "end": 1.0, "text": "The gestures are nearby."}
+        ]
+        """
+    )
+    glossary = parse_glossary_yaml(
+        """
+        glossary:
+          - name: "Jesters"
+            category: faction
+            summary: "The Jesters are a local faction."
+          - name: "Lyra"
+            category: npc
+            summary: "Lyra is a hostile NPC."
+        """
+    )
+    section = chunk_transcript(transcript, max_section_tokens=16000)[0]
+
+    messages = build_glossary_correction_messages(section, glossary)
+    prompt_text = "\n".join(message["content"] for message in messages)
+
+    assert "acoustically plausible" in prompt_text
+    assert "phonetically or acoustically similar" in prompt_text
+    assert '"gestures" to "Jesters"' in prompt_text
+    assert '"Lyra" to "Jesters"' in prompt_text
+    assert "should be omitted" in prompt_text