Revert "[EVO] Add language configuration to environment and argument parsing"

env.example

@@ -48,7 +48,7 @@
 # CHUNK_OVERLAP_SIZE=100
 # MAX_TOKENS=32768             # Max tokens send to LLM for summarization
 # MAX_TOKEN_SUMMARY=500        # Max tokens for entity or relations summary
-# LANGUAGE=English
+# SUMMARY_LANGUAGE=English
 # MAX_EMBED_TOKENS=8192
 
 ### LLM Configuration (Use valid host. For local services installed with docker, you can use host.docker.internal)

lightrag/api/lightrag_server.py

@@ -331,9 +331,6 @@ def create_app(args):
                 "use_llm_check": False,
             },
             namespace_prefix=args.namespace_prefix,
-            addon_params={
-                "language": args.language,
-            },
             auto_manage_storages_states=False,
         )
     else:  # azure_openai

lightrag/api/utils_api.py

@@ -340,7 +340,6 @@ def parse_args(is_uvicorn_mode: bool = False) -> argparse.Namespace:
     # Inject chunk configuration
     args.chunk_size = get_env_value("CHUNK_SIZE", 1200, int)
     args.chunk_overlap_size = get_env_value("CHUNK_OVERLAP_SIZE", 100, int)
-    args.language = get_env_value("LANGUAGE", "English")
 
     ollama_server_infos.LIGHTRAG_MODEL = args.simulated_model_name