Use dynamic models to make the LLM call

Author: anajmi07

cx-agent-backend/src/infrastructure/adapters/langgraph_agent_service.py

@@ -37,7 +37,16 @@ def __init__(
 
     def _create_agent(self, agent_type: AgentType, model: str) -> any:
         """Create agent with specific model."""
-        llm = self._llm_service.model
+        from langchain_openai import ChatOpenAI
+        
+        # Create LLM with the specified model
+        llm = ChatOpenAI(
+            api_key=self._llm_service.api_key,
+            base_url=self._llm_service.base_url,
+            model=model,
+            temperature=0.7,
+            streaming=True,
+        )
 
         prompts = {
             AgentType.CUSTOMER_SERVICE: "You are a helpful customer service agent.",

cx-agent-backend/src/infrastructure/adapters/openai_llm_service.py

@@ -11,6 +11,8 @@ class OpenAILLMService(LLMService):
     """OpenAI implementation of LLM service."""
 
     def __init__(self, api_key: str, model: str, base_url: str | None = None):
+        self.api_key = api_key
+        self.base_url = base_url
         self.model = ChatOpenAI(
             api_key=api_key,
             base_url=base_url,