feat: yaml files for llm reasoning

app/intent/classifier.py

@@ -14,12 +14,14 @@ logger = logging.getLogger(__name__)
 
 Intent = Literal["codebase", "general", "clarification"]
 
-INTENT_PROMPT = """Classify this user message into one category:
-- "codebase": Questions about trading system code, architecture, files, methods, execution, strategies, exchanges, risk management, order handling, or technical implementation
-- "general": Greetings, meta-questions, off-topic ("How are you?", "What can you do?", "Hello")
-- "clarification": Follow-ups that rely on conversation context, not new retrieval ("Tell me more", "What did you mean?", "Can you explain that?")
+INTENT_PROMPT = """You are classifying questions for a Tyndale trading system documentation assistant.
 
-IMPORTANT: If the user is asking about specific code, files, classes, methods, or system behavior, classify as "codebase".
+Classify this user message into one category:
+- "codebase": ANY question about trading, strategies, exchanges, orders, positions, risk, execution, hedging, market making, P&L, or how the system works. Also includes questions with "our", "the system", "this", or references to specific functionality.
+- "general": ONLY greetings or completely off-topic questions ("How are you?", "What's the weather?", "Hello")
+- "clarification": Follow-ups that reference previous answers ("Tell me more", "What did you mean?", "Can you explain that?")
+
+DEFAULT TO "codebase" if uncertain. This is a trading system assistant - assume trading questions are about the codebase.
 
 Respond with ONLY the category name, nothing else."""
 
@@ -75,7 +77,7 @@ class IntentClassifier:
 
             # Validate intent
             if raw_intent in ("codebase", "general", "clarification"):
-                logger.debug(f"Classified intent: {raw_intent}")
+                logger.info(f"Intent classified: '{message[:50]}...' -> {raw_intent}")
                 return raw_intent
 
             # Default to codebase for ambiguous cases (safer for RAG)