Update llm_spark.py

llm_spark.py

@@ -4,7 +4,7 @@ Spark LLM Implementation
 import httpx
 from typing import Dict, List, Any
 from llm_interface import LLMInterface
-from utils import log
+from logger import log_info, log_error, log_warning, log_debug
 
 class SparkLLM(LLMInterface):
     """Spark LLM integration"""
@@ -14,7 +14,7 @@ class SparkLLM(LLMInterface):
         self.spark_endpoint = spark_endpoint.rstrip("/")
         self.spark_token = spark_token
         self.provider_variant = provider_variant
-        log(f"🔌 SparkLLM initialized with endpoint: {self.spark_endpoint}")
+        log_info(f"🔌 SparkLLM initialized with endpoint: {self.spark_endpoint}")
     
     async def generate(self, system_prompt: str, user_input: str, context: List[Dict]) -> str:
         """Generate response from Spark LLM"""
@@ -49,10 +49,10 @@ class SparkLLM(LLMInterface):
                 result = response.json()
                 return result.get("model_answer", "")
         except httpx.TimeoutException:
-            log("⏱️ Spark request timed out")
+            log_warning("⏱️ Spark request timed out")
             raise
         except Exception as e:
-            log(f"❌ Spark error: {e}")
+            log_error("❌ Spark error", e)
             raise
     
     async def startup(self, project_config: Dict) -> bool:
@@ -71,7 +71,7 @@ class SparkLLM(LLMInterface):
                     break
             
             if not version:
-                log("❌ No published version found")
+                log_info("❌ No published version found")
                 return False
             
             llm_config = version.get("llm", {})
@@ -90,10 +90,10 @@ class SparkLLM(LLMInterface):
                     headers=headers
                 )
                 response.raise_for_status()
-                log("✅ Spark startup successful")
+                log_info("✅ Spark startup successful")
                 return True
         except Exception as e:
-            log(f"❌ Spark startup failed: {e}")
+            log_error("❌ Spark startup failed", e)
             return False
     
     def get_provider_name(self) -> str: