dify/api/core/workflow/nodes/loop
-LAN- a23c8fcb1a
refactor: move execution limits from engine core to layer
Remove max_execution_time and max_execution_steps from ExecutionContext and GraphEngine since these limits are now handled by ExecutionLimitsLayer. This follows the separation of concerns principle by keeping execution limits as a cross-cutting concern handled by layers rather than embedded in core engine components.

Changes:
- Remove max_execution_time and max_execution_steps from ExecutionContext
- Remove these parameters from GraphEngine.__init__()
- Remove max_execution_time from Dispatcher
- Update workflow_entry.py to no longer pass these parameters
- Update all tests to remove these parameters
2025-09-10 01:32:45 +08:00
..
__init__.py Feat/loop node (#17273) 2025-04-02 13:53:26 +08:00
entities.py feat: queue-based graph engine 2025-08-27 15:33:28 +08:00
loop_end_node.py Merge remote-tracking branch 'origin/main' into feat/queue-based-graph-engine 2025-09-06 16:05:13 +08:00
loop_node.py refactor: move execution limits from engine core to layer 2025-09-10 01:32:45 +08:00
loop_start_node.py Merge remote-tracking branch 'origin/main' into feat/queue-based-graph-engine 2025-09-06 16:05:13 +08:00