diagnoser chain fix

app.py

@@ -71,6 +71,7 @@ async def run_diagnoser(user_query: str, chosen_model: str, exercise_format: str
     chain_instance = config["class"](
         template_standardize=config["template_standardize"],
         templates_diagnose=config["templates_diagnose"],
+        template_diagnose_scorecard=config["template_diagnose_scorecard"],
         llm_standardize=config["llm_standardize"],  # Fixed: gpt4o-mini
         llm_diagnose=llms.get(chosen_model, config["llm_diagnose"])  # Override or fallback to default
     )

chains/diagnoser_chain.py

@@ -8,7 +8,7 @@ from config.exercise_standardizer import standardize_exercise
 
 class DiagnoserChain(BaseModel):
     template_standardize: ChatPromptTemplate
-    llm_standardize: Any  # Fixed LLM for step 1 and 3
+    llm_standardize: Any  # Fixed LLM for step 1
     templates_diagnose: List[ChatPromptTemplate]
     llm_diagnose: Any  # User-selectable LLM for step 2
     template_diagnose_scorecard: ChatPromptTemplate

config/llm_config.py

@@ -30,7 +30,7 @@ def create_deepseek_llm(model_name: str, temperature: float):
 
 llms = {
     "GPT-4o": create_openai_llm("gpt-4o", LOW),
-    "GPT-4o-mini": create_openai_llm("gpt-4o-mini", LOW),
+    "GPT-4o-mini": create_openai_llm("gpt-4o-mini", ZERO),
     "GPT-4o_high_temp": create_openai_llm("gpt-4o", HIGH),
     "GPT-4o-mini_high_temp": create_openai_llm("gpt-4o-mini", HIGH),
     "GPT-4 Turbo": create_openai_llm("gpt-4-turbo-2024-04-09", HIGH),