Create groqllm.py

src/llms/groqllm.py

@@ -0,0 +1,25 @@
+from langchain_groq import ChatGroq
+import os 
+from dotenv import load_dotenv
+
+class GroqLLM:
+    def __init__(self):
+        load_dotenv()
+
+    def get_llm(self):
+        try:
+            print(os.getenv("GROQ_API_KEY"))
+            os.environ["GROQ_API_KEY"] = self.groq_api_key = os.getenv("GROQ_API_KEY")
+            llm=ChatGroq(api_key=self.groq_api_key, model="openai/gpt-oss-120b", streaming=False)
+            return llm
+        except Exception as e:
+            raise ValueError(f"Error occurred with exception: {e}")
+        
+    def get_moon(self):
+        try:
+            print(os.getenv("GROQ_API_KEY"))
+            os.environ["GROQ_API_KEY"] = self.groq_api_key = os.getenv("GROQ_API_KEY")
+            llm=ChatGroq(api_key=self.groq_api_key, model="moonshotai/kimi-k2-instruct", streaming=False)
+            return llm
+        except Exception as e:
+            raise ValueError(f"Error occurred with exception: {e}")