refactor(azure-embedding): Removed unnecessary and commented Azure embedding code (#2461)

Co-authored-by: Charles Packer <packercharles@gmail.com>

letta/embeddings.py

@@ -246,19 +246,6 @@ def embedding_model(config: EmbeddingConfig, user_id: Optional[uuid.UUID] = None
                 model_settings.azure_api_version is not None,
             ]
         )
-        # from llama_index.embeddings.azure_openai import AzureOpenAIEmbedding
-
-        ## https://learn.microsoft.com/en-us/azure/ai-services/openai/reference#embeddings
-        # model = "text-embedding-ada-002"
-        # deployment = credentials.azure_embedding_deployment if credentials.azure_embedding_deployment is not None else model
-        # return AzureOpenAIEmbedding(
-        #    model=model,
-        #    deployment_name=deployment,
-        #    api_key=credentials.azure_key,
-        #    azure_endpoint=credentials.azure_endpoint,
-        #    api_version=credentials.azure_version,
-        # )
-
         return AzureOpenAIEmbedding(
             api_endpoint=model_settings.azure_base_url,
             api_key=model_settings.azure_api_key,

letta/llm_api/azure_openai.py

@@ -119,15 +119,3 @@ def azure_openai_chat_completions_request(
     chat_completion = client.chat.completions.create(**data)
 
     return ChatCompletionResponse(**chat_completion.model_dump())
-
-
-def azure_openai_embeddings_request(
-    resource_name: str, deployment_id: str, api_version: str, api_key: str, data: dict
-) -> EmbeddingResponse:
-    """https://learn.microsoft.com/en-us/azure/ai-services/openai/reference#embeddings"""
-
-    url = f"https://{resource_name}.openai.azure.com/openai/deployments/{deployment_id}/embeddings?api-version={api_version}"
-    headers = {"Content-Type": "application/json", "api-key": f"{api_key}"}
-
-    response_json = make_post_request(url, headers, data)
-    return EmbeddingResponse(**response_json)