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5cdae671d5
Close 3 integration gaps between the ported Sandbox system and Agent V2: 1. Fix _invoke_tool_in_sandbox to use SandboxBashSession context manager API correctly (keyword args, bash_tool, ToolReference), with graceful fallback to direct invocation when DifyCli binary is unavailable. 2. Inject sandbox into run_context via _resolve_sandbox_context() in WorkflowBasedAppRunner — automatically creates a sandbox when a tenant has an active sandbox provider configured. 3. Register SandboxLayer in both advanced_chat and workflow app runners for proper sandbox lifecycle cleanup on graph end. Also: make SkillInitializer non-fatal when no skill bundle exists, add node_id to ExecutionContext for sandbox session scoping. Made-with: Cursor |
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| .. | ||
| advanced_chat | ||
| agent_chat | ||
| chat | ||
| common | ||
| completion | ||
| pipeline | ||
| workflow | ||
| __init__.py | ||
| base_app_generate_response_converter.py | ||
| base_app_generator.py | ||
| base_app_queue_manager.py | ||
| base_app_runner.py | ||
| draft_variable_saver.py | ||
| exc.py | ||
| message_based_app_generator.py | ||
| message_based_app_queue_manager.py | ||
| message_generator.py | ||
| streaming_utils.py | ||
| workflow_app_runner.py | ||