add llm provider registry

metagpt/llm.py

@@ -8,12 +8,8 @@
 
 from metagpt.config import CONFIG
 from metagpt.provider.base_gpt_api import BaseGPTAPI
-from metagpt.provider.fireworks_api import FireWorksGPTAPI
 from metagpt.provider.human_provider import HumanProvider
-from metagpt.provider.open_llm_api import OpenLLMGPTAPI
-from metagpt.provider.openai_api import OpenAIGPTAPI
-from metagpt.provider.spark_api import SparkAPI
-from metagpt.provider.zhipuai_api import ZhiPuAIGPTAPI
+from metagpt.provider.llm_provider_registry import LLMProviderRegistry
 
 _ = HumanProvider()  # Avoid pre-commit error
 
@@ -21,17 +17,4 @@ _ = HumanProvider()  # Avoid pre-commit error
 def LLM() -> BaseGPTAPI:
     """initialize different LLM instance according to the key field existence"""
     # TODO a little trick, can use registry to initialize LLM instance further
-    if CONFIG.openai_api_key:
-        llm = OpenAIGPTAPI()
-    elif CONFIG.spark_api_key:
-        llm = SparkAPI()
-    elif CONFIG.zhipuai_api_key:
-        llm = ZhiPuAIGPTAPI()
-    elif CONFIG.open_llm_api_base:
-        llm = OpenLLMGPTAPI()
-    elif CONFIG.fireworks_api_key:
-        llm = FireWorksGPTAPI()
-    else:
-        raise RuntimeError("You should config a LLM configuration first")
-
-    return llm
+    return LLMProviderRegistry.get_provider(CONFIG.get_default_llm_provider_enum())