fix: universal parsing + OpenRouter + state bug — purpose_agent/actor.py

purpose_agent/actor.py

@@ -218,30 +218,23 @@ class Actor:
             )),
         ]
 
-        # Try structured output first, fall back to text parsing
-        schema = {
-            "type": "object",
-            "properties": {
-                "thought": {"type": "string"},
-                "action": {
-                    "type": "object",
-                    "properties": {
-                        "name": {"type": "string"},
-                        "params": {"type": "object"},
-                    },
-                    "required": ["name"],
-                },
-                "expected_delta": {"type": "string"},
-            },
-            "required": ["thought", "action", "expected_delta"],
-        }
+        # Universal parsing: try structured output, fall back to robust text parser
+        from purpose_agent.robust_parser import parse_actor_response
 
         try:
-            result = self.llm.generate_structured(messages, schema=schema)
-        except Exception as e:
-            logger.warning(f"Structured output failed ({e}), falling back to text parse")
-            raw = self.llm.generate(messages, temperature=0.7)
-            result = self._parse_action_text(raw)
+            result = self.llm.generate_structured(messages, schema={
+                "type": "object",
+                "properties": {
+                    "thought": {"type": "string"},
+                    "action": {"type": "object", "properties": {"name": {"type": "string"}, "params": {"type": "object"}}, "required": ["name"]},
+                    "expected_delta": {"type": "string"},
+                },
+                "required": ["thought", "action", "expected_delta"],
+            })
+        except Exception:
+            # Structured output not available — use universal text parser
+            raw = self.llm.generate(messages, temperature=0.7, max_tokens=2000)
+            result = parse_actor_response(raw)
 
         action_data = result.get("action", {})
         if isinstance(action_data, str):