Added validation-specific LLM configuration options

tests/test_module_proposals.py

@@ -31,6 +31,7 @@ class FakeStructuredLLMClient:
                     "stage_name": stage_name,
                     "messages": list(messages),
                     "response_model": response_model,
+                    "config": config,
                 }
             )
             payload = _pop_llm_response(self._responses, stage_name)
@@ -115,6 +116,63 @@ def test_glossary_module_propose_writes_diagnostics_and_returns_proposals_withou
     assert "gestures" in prompt_text
 
 
+def test_module_propose_uses_primary_llm_config(tmp_path):
+    transcript = parse_transcript_json(
+        """
+        [
+          {"id": 1, "speaker": "Eric", "start": 0.0, "end": 1.0, "text": "There were gestures at the temple."}
+        ]
+        """
+    )
+    section = chunk_transcript(transcript, max_section_tokens=1000)[0]
+    module = GlossaryModule()
+    client = FakeStructuredLLMClient(
+        [
+            {
+                "corrections": [
+                    {
+                        "id": 1,
+                        "original_text": "gestures",
+                        "corrected_text": "Jesters",
+                        "confidence": 0.95,
+                    }
+                ]
+            }
+        ]
+    )
+    config = AuditaConfig.from_sources(
+        env={"OPENROUTER_API_KEY": "primary-key"},
+        overrides=ConfigOverrides(
+            model="primary-model",
+            base_url="http://localhost:8000/v1",
+            max_retries=7,
+            llm_timeout_seconds=120,
+            validation_llm_api_key="validation-key",
+            validation_model="validation-model",
+            validation_base_url="http://localhost:9000/v1",
+            validation_max_retries=2,
+            validation_llm_timeout_seconds=240,
+            validation_llm_concurrency=3,
+        ),
+    )
+    context = ModuleContext(
+        run_spec=ModuleRunSpec(instance_name="glossary_primary", module_key="glossary", module=module),
+        glossary=_glossary(),
+        config=config,
+        run_dir=tmp_path,
+        llm_client=client,
+    )
+
+    module.propose(section, context)
+
+    proposal_config = client.calls[0]["config"]
+    assert proposal_config.api_key == "primary-key"
+    assert proposal_config.model == "primary-model"
+    assert proposal_config.base_url == "http://localhost:8000/v1"
+    assert proposal_config.max_retries == 7
+    assert proposal_config.llm_timeout_seconds == 120
+
+
 def test_homophones_prompt_is_explicitly_scoped_to_spoken_form_corrections():
     transcript = parse_transcript_json(
         """