fmt

libs/community/langchain_community/chat_models/azure_openai.py

@@ -144,7 +144,10 @@ class AzureChatOpenAI(ChatOpenAI):
             values, "openai_api_type", "OPENAI_API_TYPE", default="azure"
         )
         values["openai_proxy"] = get_from_dict_or_env(  # type: ignore
-            values, "openai_proxy", "OPENAI_PROXY", default=""  # type: ignore
+            values,
+            "openai_proxy",
+            "OPENAI_PROXY",
+            default="",  # type: ignore
         )
 
         try:

libs/community/langchain_community/embeddings/localai.py

@@ -268,9 +268,7 @@ class LocalAIEmbeddings(BaseModel, Embeddings):
             self,
             input=[text],
             **self._invocation_params,
-        )["data"][
-            0
-        ]["embedding"]
+        )["data"][0]["embedding"]
 
     async def _aembedding_func(self, text: str, *, engine: str) -> List[float]:
         """Call out to LocalAI's embedding endpoint."""

libs/community/tests/integration_tests/embeddings/test_azure_openai.py

@@ -106,11 +106,7 @@ def test_azure_openai_embedding_with_empty_string() -> None:
     assert len(output[0]) == 1536
     expected_output = openai.Embedding.create(input="", model="text-embedding-ada-002")[  # type: ignore
         "data"
-    ][
-        0
-    ][
-        "embedding"
-    ]
+    ][0]["embedding"]
     assert np.allclose(output[0], expected_output)
     assert len(output[1]) == 1536