🅰️ feat: Specify Azure OpenAI API Version and Deployment via `EMBEDDI…

…NGS_MODEL` (#23)

README.md

@@ -64,10 +64,11 @@ The following environment variables are required to run the application:
 - `EMBEDDINGS_MODEL`: (Optional) Set a valid embeddings model to use from the configured provider.
     - **Defaults**
     - openai: "text-embedding-3-small"
-    - azure: "text-embedding-3-small"
+    - azure: "text-embedding-3-small" (will be used as your Azure Deployment)
     - huggingface: "sentence-transformers/all-MiniLM-L6-v2"
     - huggingfacetei: "http://huggingfacetei:3000". Hugging Face TEI uses model defined on TEI service launch.
     - ollama: "nomic-embed-text"
+- `RAG_AZURE_OPENAI_API_VERSION`: (Optional) Default is `2023-05-15`. The version of the Azure OpenAI API.
 - `RAG_AZURE_OPENAI_API_KEY`: (Optional) The API key for Azure OpenAI service.
     - Note: `AZURE_OPENAI_API_KEY` will work but `RAG_AZURE_OPENAI_API_KEY` will override it in order to not conflict with LibreChat setting.
 - `RAG_AZURE_OPENAI_ENDPOINT`: (Optional) The endpoint URL for Azure OpenAI service, including the resource.

config.py

@@ -134,6 +134,7 @@ async def dispatch(self, request, call_next):
 RAG_OPENAI_BASEURL = get_env_variable("RAG_OPENAI_BASEURL", None)
 RAG_OPENAI_PROXY = get_env_variable("RAG_OPENAI_PROXY", None)
 AZURE_OPENAI_API_KEY = get_env_variable("AZURE_OPENAI_API_KEY", "")
+RAG_AZURE_OPENAI_API_VERSION = get_env_variable("RAG_AZURE_OPENAI_API_VERSION", None)
 RAG_AZURE_OPENAI_API_KEY = get_env_variable("RAG_AZURE_OPENAI_API_KEY", AZURE_OPENAI_API_KEY)
 AZURE_OPENAI_ENDPOINT = get_env_variable("AZURE_OPENAI_ENDPOINT", "")
 RAG_AZURE_OPENAI_ENDPOINT = get_env_variable("RAG_AZURE_OPENAI_ENDPOINT", AZURE_OPENAI_ENDPOINT).rstrip("/")
@@ -153,9 +154,10 @@ def init_embeddings(provider, model):
         )
     elif provider == "azure":
         return AzureOpenAIEmbeddings(
-            model=model,
+            azure_deployment=model,
             api_key=RAG_AZURE_OPENAI_API_KEY,
-            azure_endpoint=RAG_AZURE_OPENAI_ENDPOINT
+            azure_endpoint=RAG_AZURE_OPENAI_ENDPOINT,
+            api_version=RAG_AZURE_OPENAI_API_VERSION
         )
     elif provider == "huggingface":
         return HuggingFaceEmbeddings(model_name=model, encode_kwargs={