diff --git a/mellea/backends/openai.py b/mellea/backends/openai.py
index 1eea93511..f9c24b7d3 100644
--- a/mellea/backends/openai.py
+++ b/mellea/backends/openai.py
@@ -832,14 +832,7 @@ async def _generate_from_chat_context_standard(
         )
         # Convert our linearized context into a sequence of chat messages. Template formatters have a standard way of doing this.
         messages: list[Message] = self.formatter.to_chat_messages(linearized_context)
-        # Add the final message.
-        match action:
-            case ALoraRequirement():
-                raise Exception(
-                    "The OpenAI backend does not currently support activated LoRAs."
-                )
-            case _:
-                messages.extend(self.formatter.to_chat_messages([action]))
+        messages.extend(self.formatter.to_chat_messages([action]))
         conversation: list[dict] = []
 
         system_prompt = model_opts.get(ModelOption.SYSTEM_PROMPT, "")
diff --git a/test/stdlib/components/intrinsic/test_rag.py b/test/stdlib/components/intrinsic/test_rag.py
index bc76fa650..fb472414c 100644
--- a/test/stdlib/components/intrinsic/test_rag.py
+++ b/test/stdlib/components/intrinsic/test_rag.py
@@ -187,6 +187,21 @@ def test_context_relevance(backend_4_0):
     assert result == "irrelevant"
 
 
+def _compare_hallucination(result: list[dict], expected: list[dict]):
+    """Special function to compare the result and expected output for hallucination detection.
+
+    There are slight differences in explanations depending on where the test is run.
+    """
+    for r, e in zip(result, expected, strict=True):
+        assert r["response_begin"] == e["response_begin"]
+        assert r["response_end"] == e["response_end"]
+        assert r["response_text"] == e["response_text"]
+        assert r["faithfulness"] == e["faithfulness"]
+
+        # Specifically don't check the explanation due to mentioned differences.
+        # assert result["explanation"] == expected["explanation"]
+
+
 @pytest.mark.qualitative
 def test_hallucination_detection(backend):
     """Verify that the hallucination detection intrinsic functions properly."""
@@ -196,11 +211,11 @@ def test_hallucination_detection(backend):
     # First call triggers adapter loading
     result = rag.flag_hallucinated_content(assistant_response, docs, context, backend)
     _dump_output_json("hallucination_detection.json", result)
-    assert result == expected
+    _compare_hallucination(result, expected)
 
     # Second call hits a different code path from the first one
     result = rag.flag_hallucinated_content(assistant_response, docs, context, backend)
-    assert result == expected
+    _compare_hallucination(result, expected)
 
 
 @pytest.mark.qualitative
@@ -303,7 +318,7 @@ def test_hallucination_detection_resolve(backend):
     expected = _read_output_json("hallucination_detection.json")
 
     result = rag.flag_hallucinated_content(None, docs, context, backend)
-    assert result == expected
+    _compare_hallucination(result, expected)
 
 
 @pytest.mark.qualitative