Fixes env variables.

src/app.py

@@ -96,15 +96,27 @@ CONTEXT_STORE_PATH = Path(__file__).parent / ".context_store.json"
 # LLM Client for generating responses (more capable model)
 # RESPONSE_LLM: Used for generating actual responses (higher quality)
 # CONTEXT_LLM: Used for topic detection in workflow (cheaper, configured there)
-RESPONSE_LLM_MODEL = os.getenv("RESPONSE_LLM", os.getenv("NEBIUS_MODEL", "openai/gpt-4o"))
+RESPONSE_LLM_MODEL = os.getenv("RESPONSE_LLM", "openai/gpt-oss-120b")
+NEBIUS_BASE_URL = os.getenv("NEBIUS_BASE_URL")
+NEBIUS_API_KEY = os.getenv("NEBIUS_API_KEY")
+
+# Validate required environment variables
+if not NEBIUS_BASE_URL:
+    print("WARNING: NEBIUS_BASE_URL not set. Response generation will fail.")
+if not NEBIUS_API_KEY:
+    print("WARNING: NEBIUS_API_KEY not set. Response generation will fail.")
+
+print(f"[ContextPilot] Response LLM: {RESPONSE_LLM_MODEL}")
+print(f"[ContextPilot] API Base: {NEBIUS_BASE_URL}")
+print(f"[ContextPilot] API Key set: {bool(NEBIUS_API_KEY)}")
 
 # Threshold for summarizing responses before storing in context (in characters)
 # Responses longer than this will be summarized to reduce context size
 SUMMARIZE_THRESHOLD = int(os.getenv("SUMMARIZE_THRESHOLD", "500"))
 
 llm_client = OpenAI(
-    api_key=os.getenv("NEBIUS_API_KEY"),
-    base_url=os.getenv("NEBIUS_BASE_URL"),
+    api_key=NEBIUS_API_KEY,
+    base_url=NEBIUS_BASE_URL,
 )
 LLM_MODEL = RESPONSE_LLM_MODEL
 

src/context_pilot_workflow.py

@@ -419,11 +419,23 @@ CONTEXT_TOOLS = [
 # Use CONTEXT_LLM for topic detection (cheaper)
 # Use RESPONSE_LLM for generation (more capable) - configured in app.py
 CONTEXT_LLM_MODEL = os.getenv("CONTEXT_LLM", os.getenv("NEBIUS_MODEL", "openai/gpt-4o-mini"))
+NEBIUS_BASE_URL = os.getenv("NEBIUS_BASE_URL")
+NEBIUS_API_KEY = os.getenv("NEBIUS_API_KEY")
+
+# Validate required environment variables
+if not NEBIUS_BASE_URL:
+    print("WARNING: NEBIUS_BASE_URL not set. Topic detection will fail.")
+if not NEBIUS_API_KEY:
+    print("WARNING: NEBIUS_API_KEY not set. Topic detection will fail.")
+
+print(f"[ContextPilot] Context LLM: {CONTEXT_LLM_MODEL}")
+print(f"[ContextPilot] API Base: {NEBIUS_BASE_URL}")
+print(f"[ContextPilot] API Key set: {bool(NEBIUS_API_KEY)}")
 
 topic_llm = OpenAILike(
     model=CONTEXT_LLM_MODEL,
-    api_base=os.getenv("NEBIUS_BASE_URL"),
-    api_key=os.getenv("NEBIUS_API_KEY"),
+    api_base=NEBIUS_BASE_URL,
+    api_key=NEBIUS_API_KEY,
     is_chat_model=True,
     is_function_calling_model=True,
     context_window=128000,