ajustes

src/config.py

@@ -66,7 +66,7 @@ class Settings(BaseSettings):
     # y se usa el `load_priority` del frontmatter como tie-break.
     kb_similarity_floor: float = 0.6
     working_context_max_items: int = 20
-    tool_raw_output_max_chars: int = 2000
+    tool_raw_output_max_chars: int = 16000  # Antes 2000 (calibrado MiniMax 200k). Subido para DeepSeek 1M context.
     conversation_recent_raw_limit: int = 2
     task_history_max_entries: int = 20
     task_history_max_tokens: int = 1500

src/context/compactor.py

@@ -487,7 +487,10 @@ class ContextCompactor:
         except (json.JSONDecodeError, ValueError):
             return None
 
-        truncated, stats = self._truncate_json_value(data, list_limit=5, depth_limit=4)
+        # Limits calibrados para context window grande (DeepSeek v4 = 1M tokens).
+        # Antes era list_limit=5, depth_limit=4 — calibrado para MiniMax 200k.
+        # Con 1M context podemos permitirnos ver bastante mas de cada respuesta.
+        truncated, stats = self._truncate_json_value(data, list_limit=30, depth_limit=6)
         try:
             body = json.dumps(truncated, ensure_ascii=False, separators=(",", ":"))
         except (TypeError, ValueError):