Finesse temperature passing

src/controlflow/llm/models.py

@@ -52,6 +52,8 @@ def get_model(
                 "To use Google as an LLM provider, please install the `langchain_google_genai` package."
             )
         cls = ChatGoogleGenerativeAI
+        if temperature is None:
+            temperature = 0.7
     elif provider == "groq":
         try:
             from langchain_groq import ChatGroq
@@ -60,6 +62,8 @@ def get_model(
                 "To use Groq as an LLM provider, please install the `langchain_groq` package."
             )
         cls = ChatGroq
+        if temperature is None:
+            temperature = 0.7
     elif provider == "ollama":
         try:
             from langchain_ollama import ChatOllama
@@ -73,7 +77,9 @@ def get_model(
             f"Could not load provider `{provider}` automatically. Please provide the LLM class manually."
         )
 
-    return cls(model=model, temperature=temperature, **kwargs)
+    if temperature is not None:
+        kwargs["temperature"] = temperature
+    return cls(model=model, **kwargs)
 
 
 def _get_initial_default_model() -> BaseChatModel: