fix azure model support and scores in tests

e2e/pipelines/test_pipeline_topologies.py

@@ -178,13 +178,7 @@ def test_join_with_rrf(docs):
     results = p.run(query=query)
 
     # list of precalculated expected results
-    expected_scores = [
-        0.03278688524590164,
-        0.03200204813108039,
-        0.03200204813108039,
-        0.031009615384615385,
-        0.031009615384615385,
-    ]
+    expected_scores = [1.0, 0.9684979838709676, 0.9684979838709676, 0.9533577533577533, 0.9533577533577533]
     assert all(
         doc.score == pytest.approx(expected_scores[idx], abs=1e-3) for idx, doc in enumerate(results["documents"])
     )

haystack/nodes/prompt/invocation_layer/azure_open_ai.py

@@ -42,7 +42,7 @@ def supports(cls, model_name_or_path: str, **kwargs) -> bool:
         Ensures Azure OpenAI Invocation Layer is selected when `azure_base_url` and `azure_deployment_name` are provided in
         addition to a list of supported models.
         """
-        valid_model = model_name_or_path in ["ada", "babbage", "davinci", "curie"] or any(
+        valid_model = model_name_or_path in ["ada", "babbage", "davinci", "curie", "gpt-3.5-turbo-instruct"] or any(
             m in model_name_or_path for m in ["-ada-", "-babbage-", "-davinci-", "-curie-"]
         )
         return valid_model and has_azure_parameters(**kwargs)