Fix openrouter options

libs/core/kiln_ai/adapters/model_adapters/langchain_adapters.py

@@ -151,6 +151,7 @@ async def _run(self, input: Dict | str) -> RunOutput:
             # Case 1 or 2: Unstructured output, or "Thinking" LLM designed to output thinking in a structured format
             messages.append({"role": "system", "content": cot_prompt})
         elif not thinking_llm and cot_prompt and self.has_structured_output():
+            # Case 3: Normal LLM with structured output
             # Base model (without structured output) used for COT message
             base_model = await self.langchain_model_from()
             messages.append(
@@ -164,8 +165,6 @@ async def _run(self, input: Dict | str) -> RunOutput:
             messages.append(
                 SystemMessage(content="Considering the above, return a final result.")
             )
-        elif cot_prompt:
-            messages.append(SystemMessage(content=cot_prompt))
 
         response = await chain.ainvoke(messages)
 

libs/core/kiln_ai/adapters/model_adapters/openai_model_adapter.py

@@ -55,9 +55,7 @@ def __init__(
 
     async def _run(self, input: Dict | str) -> RunOutput:
         provider = await self.model_provider()
-
         intermediate_outputs: dict[str, str] = {}
-
         prompt = await self.build_prompt()
         user_msg = self.prompt_builder.build_user_message(input)
         messages = [
@@ -102,14 +100,11 @@ async def _run(self, input: Dict | str) -> RunOutput:
                 ]
             )
 
-        else:
-            intermediate_outputs = {}
-
         extra_body = {}
-        if self.config.openrouter_style_reasoning:
+        if self.config.openrouter_style_reasoning and thinking_llm:
             extra_body = {
                 "include_reasoning": True,
-                # Only use providers that support the reasoning parameter
+                # Filter to providers that support the reasoning parameter
                 "provider": {
                     "require_parameters": True,
                 },