diff --git a/config/config.yaml b/config/config.yaml
index 5025a4977..e5f8f4573 100644
--- a/config/config.yaml
+++ b/config/config.yaml
@@ -16,6 +16,7 @@ MAX_TOKENS: 4096
 RPM: 10
 LLM_TYPE: OpenAI  # Except for these three major models – OpenAI, MetaGPT LLM, and Azure – other large models can be distinguished based on the validity of the key.
 TIMEOUT: 60 # Timeout for llm invocation
+DEFAULT_PROVIDER: openai
 
 #### if Spark
 #SPARK_APPID : "YOUR_APPID"
diff --git a/metagpt/config.py b/metagpt/config.py
index eb3636c9a..d633c7d28 100644
--- a/metagpt/config.py
+++ b/metagpt/config.py
@@ -50,6 +50,9 @@ class LLMProviderEnum(Enum):
     AZURE_OPENAI = "azure_openai"
     OLLAMA = "ollama"
 
+    def __missing__(self, key):
+        return self.OPENAI
+
 
 class Config(metaclass=Singleton):
     """
@@ -108,6 +111,11 @@ class Config(metaclass=Singleton):
             if v:
                 provider = k
                 break
+        if provider is None:
+            if self.DEFAULT_PROVIDER:
+                provider = LLMProviderEnum(self.DEFAULT_PROVIDER)
+            else:
+                raise NotConfiguredException("You should config a LLM configuration first")
 
         if provider is LLMProviderEnum.GEMINI and not require_python_version(req_version=(3, 10)):
             warnings.warn("Use Gemini requires Python >= 3.10")
@@ -117,7 +125,6 @@ class Config(metaclass=Singleton):
         if provider:
             logger.info(f"API: {provider}")
             return provider
-        raise NotConfiguredException("You should config a LLM configuration first")
 
     def get_model_name(self, provider=None) -> str:
         provider = provider or self.get_default_llm_provider_enum()