fraud prevention

controls.py

@@ -5,13 +5,13 @@ from dspy.predict.react import Tool
 from tavily import TavilyClient
 
 
-lm = dspy.LM('ollama_chat/llama3.2', api_base='http://localhost:11434', api_key='')
+#lm = dspy.LM('ollama_chat/llama3.2', api_base='http://localhost:11434', api_key='')
 #lm = dspy.LM('ollama_chat/deepseek-r1', api_base='http://localhost:11434', api_key='')
 #lm = dspy.LM('ollama_chat/qwq', api_base='http://localhost:11434', api_key='')
 #lm = dspy.LM('ollama_chat/deepscaler', api_base='http://localhost:11434', api_key='')
 #lm = dspy.LM('huggingface/Qwen/Qwen2.5-Coder-32B-Instruct')
 #lm = dspy.LM('huggingface/meta-llama/Llama-3.2-1B')
-#lm = dspy.LM('groq/qwen-qwq-32b')
+lm = dspy.LM('deepseek-r1-distill-qwen-32b')
 dspy.configure(lm=lm)
 
 search_client = TavilyClient(api_key=os.environ["T_TOKEN"])