Added validation-specific LLM configuration options

tests/test_new_pipeline.py

@@ -24,6 +24,7 @@ class FakeStructuredLLMClient:
                     "stage_name": stage_name,
                     "messages": list(messages),
                     "response_model": response_model,
+                    "config": config,
                 }
             )
             response = _pop_llm_response(self._responses, stage_name)
@@ -103,6 +104,85 @@ def test_process_transcript_runs_noop_framework(tmp_path):
     ]
 
 
+def test_process_transcript_result_can_use_different_validation_llm_settings(tmp_path):
+    llm_client = FakeStructuredLLMClient(
+        {
+            "grammar:proposal": {
+                "corrections": [
+                    {
+                        "id": 1,
+                        "original_text": "hello world",
+                        "corrected_text": "Hello world.",
+                        "confidence": 0.95,
+                    }
+                ]
+            },
+            "grammar:grammar_only_guard": {
+                "validations": [
+                    {
+                        "correction_index": 0,
+                        "approved": True,
+                        "confidence": 0.98,
+                        "reason": "ok",
+                    }
+                ]
+            },
+            "grammar:meaning_reversal_review": {
+                "validations": [
+                    {
+                        "correction_index": 0,
+                        "approved": True,
+                        "confidence": 0.99,
+                        "reason": "ok",
+                    }
+                ]
+            },
+        }
+    )
+    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,
+            work_dir=tmp_path / "work",
+            work_dir_retention="always",
+        ),
+    )
+
+    result = process_transcript_result(
+        parse_source_transcript_json(
+            """
+            [
+              {"speaker": "Eric", "start": 0.0, "end": 1.0, "text": "hello world"}
+            ]
+            """
+        ),
+        _glossary(),
+        config,
+        module_keys=["grammar"],
+        llm_client=llm_client,
+    )
+
+    assert result.transcript[0].text == "Hello world."
+    calls_by_stage = {call["stage_name"]: call["config"] for call in llm_client.calls}
+    assert calls_by_stage["grammar:proposal"].model == "primary-model"
+    assert calls_by_stage["grammar:proposal"].base_url == "http://localhost:8000/v1"
+    assert calls_by_stage["grammar:proposal"].api_key == "primary-key"
+    assert calls_by_stage["grammar:grammar_only_guard"].model == "validation-model"
+    assert calls_by_stage["grammar:grammar_only_guard"].base_url == "http://localhost:9000/v1"
+    assert calls_by_stage["grammar:grammar_only_guard"].api_key == "validation-key"
+    assert calls_by_stage["grammar:grammar_only_guard"].max_retries == 2
+    assert calls_by_stage["grammar:grammar_only_guard"].llm_timeout_seconds == 240
+
+
 def test_process_transcript_result_writes_report_and_preserves_skips_per_policy(tmp_path):
     config = AuditaConfig.from_sources(
         env={},