Fix llm config (#139)

src/pai_rag/modules/llm/llm_module.py

@@ -4,8 +4,6 @@
 from llama_index.llms.openai import OpenAI
 from llama_index.llms.azure_openai import AzureOpenAI
 
-import os
-
 # from llama_index.llms.dashscope import DashScope
 from pai_rag.integrations.llms.dashscope.base import MyDashScope
 from pai_rag.integrations.llms.paieas.base import PaiEAS
@@ -24,23 +22,7 @@ def _create_new_instance(self, new_params: Dict[str, Any]):
         config = new_params[MODULE_PARAM_CONFIG]
         source = config["source"].lower()
 
-        # Get DASHSCOPE KEY, will use dashscope LLM
-        # Since we might have already configured key for dashscope mebedding and multi-modal
-        # Will refine later.
-        if os.getenv("DASHSCOPE_API_KEY", None):
-            model_name = "qwen-turbo"
-            logger.info(
-                f"""
-                [Parameters][LLM:DashScope]
-                    model = {model_name}
-                """
-            )
-            llm = MyDashScope(
-                model_name=model_name,
-                temperature=config.get("temperature", 0.1),
-                max_tokens=2000,
-            )
-        elif source == "openai":
+        if source == "openai":
             logger.info(
                 f"""
                 [Parameters][LLM:OpenAI]