Yansong Zhang d3d9f21cdf feat(api): wire sandbox into Agent V2 node execution pipeline ... Integrate the ported sandbox system with Agent V2 node: - Add DIFY_SANDBOX_CONTEXT_KEY to app_invoke_entities for passing sandbox through run_context without modifying graphon - DifyNodeFactory._resolve_sandbox() extracts sandbox from run_context and passes it to AgentV2Node constructor - AgentV2Node accepts optional sandbox parameter - AgentV2ToolManager supports dual execution paths: - _invoke_tool_directly(): standard ToolEngine.generic_invoke (no sandbox) - _invoke_tool_in_sandbox(): delegates to SandboxBashSession.run_tool() which uses DifyCli to call back to Dify API from inside the sandbox - Graceful fallback: if sandbox execution fails, logs warning and returns error message (does not crash the agent loop) To enable sandbox for an Agent workflow: 1. Create a Sandbox via SandboxBuilder 2. Add it to run_context under DIFY_SANDBOX_CONTEXT_KEY 3. Agent V2 nodes will automatically use sandbox for tool execution 46 existing tests still pass. Made-with: Cursor		2026-04-08 17:46:34 +08:00
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__init__.py	refactor(workflow): move agent node back to core workflow (#33431)	2026-03-14 22:33:13 +08:00
agent_strategy.py	refactor(workflow): move agent node back to core workflow (#33431)	2026-03-14 22:33:13 +08:00
app_invoke_entities.py	feat(api): wire sandbox into Agent V2 node execution pipeline	2026-04-08 17:46:34 +08:00
queue_entities.py	refactor(api): tighten types for Tenant.custom_config_dict and MCPToolProvider.headers (#34698)	2026-04-08 01:36:42 +00:00
rag_pipeline_invoke_entities.py	feat: knowledge pipeline (#25360)	2025-09-18 12:49:10 +08:00
task_entities.py	refactor(api): tighten types for Tenant.custom_config_dict and MCPToolProvider.headers (#34698)	2026-04-08 01:36:42 +00:00