diff --git a/src/basic_memory/repository/litellm_provider.py b/src/basic_memory/repository/litellm_provider.py
index e7eb8b5b..a0735bb5 100644
--- a/src/basic_memory/repository/litellm_provider.py
+++ b/src/basic_memory/repository/litellm_provider.py
@@ -155,12 +155,17 @@ class LiteLLMEmbeddingProvider(EmbeddingProvider):
 
             vectors_by_index: dict[int, list[float]] = {}
             for item in response.data:
-                response_index = int(item.index)
+                if isinstance(item, dict):
+                    response_index = int(item["index"])
+                    embedding = item["embedding"]
+                else:
+                    response_index = int(item.index)
+                    embedding = item.embedding
                 if response_index in vectors_by_index:
                     raise RuntimeError(
                         "LiteLLM embedding response returned duplicate vector indexes."
                     )
-                vectors_by_index[response_index] = [float(v) for v in item.embedding]
+                vectors_by_index[response_index] = [float(v) for v in embedding]
 
             ordered_vectors: list[list[float]] = []
             for index in range(len(batch)):
diff --git a/tests/repository/test_litellm_provider.py b/tests/repository/test_litellm_provider.py
index 93d83f39..d21d97c5 100644
--- a/tests/repository/test_litellm_provider.py
+++ b/tests/repository/test_litellm_provider.py
@@ -444,6 +444,24 @@ async def test_litellm_provider_zero_vector_does_not_raise(monkeypatch):
     assert result == [[0.0, 0.0, 0.0]]
 
 
+@pytest.mark.asyncio
+async def test_litellm_provider_accepts_dict_response_items(monkeypatch):
+    """LiteLLM providers may return embedding data as dict items."""
+
+    async def _aembedding(**kwargs):
+        data = [{"index": i, "embedding": [1.0, 0.0, 0.0]} for i in range(len(kwargs["input"]))]
+        return SimpleNamespace(data=data)
+
+    module = type(sys)("litellm")
+    setattr(module, "aembedding", _aembedding)
+    monkeypatch.setitem(sys.modules, "litellm", module)
+
+    provider = LiteLLMEmbeddingProvider(dimensions=3)
+    result = await provider.embed_documents(["first", "second"])
+
+    assert result == [[1.0, 0.0, 0.0], [1.0, 0.0, 0.0]]
+
+
 @pytest.mark.asyncio
 async def test_litellm_provider_duplicate_index_raises_error(monkeypatch):
     """A backend returning duplicate indexes is malformed and must fail fast."""