feat: Add openAI compatible APIs to Qdrant (#2465)

# What does this PR do?
Adds support to Vector store Open AI APIs in Qdrant.

<!-- If resolving an issue, uncomment and update the line below -->
 Closes #2463 


## Test Plan
<!-- Describe the tests you ran to verify your changes with result
summaries. *Provide clear instructions so the plan can be easily
re-executed.* -->

Signed-off-by: Varsha Prasad Narsing <varshaprasad96@gmail.com>
Co-authored-by: ehhuang <ehhuang@users.noreply.github.com>
Co-authored-by: Francisco Arceo <arceofrancisco@gmail.com>

llama_stack/providers/registry/vector_io.py

@@ -460,6 +460,7 @@ See [Weaviate's documentation](https://weaviate.io/developers/weaviate) for more
             module="llama_stack.providers.inline.vector_io.qdrant",
             config_class="llama_stack.providers.inline.vector_io.qdrant.QdrantVectorIOConfig",
             api_dependencies=[Api.inference],
+            optional_api_dependencies=[Api.files],
             description=r"""
 [Qdrant](https://qdrant.tech/documentation/) is an inline and remote vector database provider for Llama Stack. It
 allows you to store and query vectors directly in memory.
@@ -516,6 +517,7 @@ Please refer to the inline provider documentation.
 """,
             ),
             api_dependencies=[Api.inference],
+            optional_api_dependencies=[Api.files],
         ),
         remote_provider_spec(
             Api.vector_io,