Inject client terminology into system prompt

backend/pipeline.py

@@ -17,6 +17,7 @@ from sentence_transformers import SentenceTransformer
 
 from config import features_path, domain_for, DISPLAY_NAMES
 from grader import grade, GradeReport, get_embedder
+from rosetta import client_terms
 
 log = logging.getLogger(__name__)
 
@@ -26,9 +27,10 @@ MIN_RETRIEVAL_SCORE = 0.1
 SYSTEM_PROMPT = """\
 You are a helpful assistant for {client_display} ({domain} domain).
 Answer the user's question using only the information in the provided context.
-Be concise. Use the terminology natural to {client_display} — do not use internal
-or competitor terminology. If the context does not contain enough information to
-answer, say so clearly rather than speculating."""
+Be concise. If the context does not contain enough information to answer, say so clearly rather than speculating.
+
+You MUST use the following terminology. These are the only acceptable terms — do not substitute synonyms:
+{term_list}"""
 
 
 @dataclass(slots=True)
@@ -97,9 +99,12 @@ def _generate(
     domain: str,
     hf_client: InferenceClient,
 ) -> str:
+    terms = client_terms(client)
+    term_list = "\n".join(f"- {v}" for v in terms.values()) if terms else "(none)"
     system = SYSTEM_PROMPT.format(
         client_display=DISPLAY_NAMES.get(client, client),
         domain=domain,
+        term_list=term_list,
     )
     response = hf_client.chat.completions.create(
         model=HF_GENERATION_MODEL,