fix: default emb model (#702)

* fix: Remove incorrect prefix from default embedding model name

* refactor: Consolidate model settings in LLMSettings class

rdagent/oai/backend/litellm.py

@@ -45,7 +45,7 @@ class LiteLLMAPIBackend(APIBackend):
         """
         response_list = []
         for input_content_iter in input_content_list:
-            model_name = LITELLM_SETTINGS.embedding_model or "azure/text-embedding-3-small"
+            model_name = LITELLM_SETTINGS.embedding_model
             logger.info(f"{LogColors.GREEN}Using emb model{LogColors.END} {model_name}", tag="debug_litellm_emb")
             logger.info(f"Creating embedding for: {input_content_iter}", tag="debug_litellm_emb")
             if not isinstance(input_content_iter, str):

rdagent/oai/llm_conf.py

@@ -11,6 +11,9 @@ class LLMSettings(ExtendedBaseSettings):
     # backend
     backend: str = "rdagent.oai.backend.DeprecBackend"
 
+    chat_model: str = "gpt-4-turbo"
+    embedding_model: str = "text-embedding-3-small"
+
     # TODO: most of the settings are only used on deprec.DeprecBackend.
     # So they should move the settings to that folder.
 
@@ -48,7 +51,6 @@ class LLMSettings(ExtendedBaseSettings):
     chat_openai_base_url: str | None = None  #
     chat_azure_api_base: str = ""
     chat_azure_api_version: str = ""
-    chat_model: str = "gpt-4-turbo"
     chat_max_tokens: int = 3000
     chat_temperature: float = 0.5
     chat_stream: bool = True
@@ -68,7 +70,6 @@ class LLMSettings(ExtendedBaseSettings):
     embedding_openai_base_url: str = ""
     embedding_azure_api_base: str = ""
     embedding_azure_api_version: str = ""
-    embedding_model: str = ""
     embedding_max_str_num: int = 50
 
     # offline llama2 related config