diff --git a/env.example b/env.example
index 7f431fec..fd2cc43f 100644
--- a/env.example
+++ b/env.example
@@ -61,9 +61,10 @@ OLLAMA_EMULATING_MODEL_TAG=latest
 ### Number of text chunks to retrieve initially from vector search and keep after reranking
 # CHUNK_TOP_K=5
 
+### Enable reranking for retrieved text chunks (default: true)
+# ENABLE_RERANK=true
+
 ### Rerank Configuration
-### Note: Reranking is now controlled per query via the 'enable_rerank' parameter (default: true)
-### The following configuration is only needed when you want to use reranking
 ### Rerank model configuration (required when enable_rerank=true in query parameters)
 # RERANK_MODEL=BAAI/bge-reranker-v2-m3
 # RERANK_BINDING_HOST=https://api.your-rerank-provider.com/v1/rerank
diff --git a/lightrag/base.py b/lightrag/base.py
index 4a2d1b40..ae13d92d 100644
--- a/lightrag/base.py
+++ b/lightrag/base.py
@@ -36,7 +36,7 @@ T = TypeVar("T")
 class QueryParam:
     """Configuration parameters for query execution in LightRAG."""
 
-    mode: Literal["local", "global", "hybrid", "naive", "mix", "bypass"] = "global"
+    mode: Literal["local", "global", "hybrid", "naive", "mix", "bypass"] = "mix"
     """Specifies the retrieval mode:
     - "local": Focuses on context-dependent information.
     - "global": Utilizes global knowledge.
@@ -85,7 +85,7 @@ class QueryParam:
     Format: [{"role": "user/assistant", "content": "message"}].
     """
 
-    history_turns: int = 3
+    history_turns: int = int(os.getenv("HISTORY_TURNS", "3"))
     """Number of complete conversation turns (user-assistant pairs) to consider in the response context."""
 
     ids: list[str] | None = None
@@ -102,7 +102,7 @@ class QueryParam:
     If proivded, this will be use instead of the default vaulue from prompt template.
     """
 
-    enable_rerank: bool = True
+    enable_rerank: bool = os.getenv("ENABLE_RERANK", "true").lower() == "true"
     """Enable reranking for retrieved text chunks. If True but no rerank model is configured, a warning will be issued.
     Default is True to enable reranking when rerank model is available.
     """
diff --git a/lightrag/kg/shared_storage.py b/lightrag/kg/shared_storage.py
index 3c9d7ae2..228bf272 100644
--- a/lightrag/kg/shared_storage.py
+++ b/lightrag/kg/shared_storage.py
@@ -22,7 +22,7 @@ def direct_log(message, enable_output: bool = False, level: str = "DEBUG"):
     """
     if not enable_output:
         return
-    
+
     # Get the current logger level from the lightrag logger
     try:
         from lightrag.utils import logger