Implemented the next roadmap step: direct Graylog MCP replay with temporary baselines.

src/fgai/graylog_source.py

@@ -54,12 +54,12 @@ class GraylogStreamSource:
         if not isinstance(self.mapping, dict):
             raise RuntimeError("invalid_graylog_field_mapping")
 
-    def fetch(self, *, max_events: int = 5_000) -> tuple[list[LogEvent], dict[str, object]]:
+    def fetch(self, *, max_events: int = 5_000, range_seconds: int = 300) -> tuple[list[LogEvent], dict[str, object]]:
         status = self.client.probe()
         mapping_fields = [str(value) for value in self.mapping.values() if isinstance(value, str)]
         arguments: dict[str, object] = {
             "query": self.query,
-            "range_seconds": 300,
+            "range_seconds": max(1, int(range_seconds)),
             "fields": list(dict.fromkeys([*DEFAULT_FIELDS, *mapping_fields, *self.profile_fields])),
         }
         if self.stream: