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
1. Fix workflow-level total_tokens=0:
Call graph_runtime_state.add_tokens(usage.total_tokens) in both
_run_without_tools and _run_with_tools paths after node execution.
Previously only graphon's internal ModelInvokeCompletedEvent handler
called add_tokens, which agent-v2 doesn't emit.
2. Fix Turn 2 SSE empty response:
Set PUBSUB_REDIS_CHANNEL_TYPE=streams in .env. Redis Streams
provides durable event delivery (consumers can replay past events),
solving the pub/sub at-most-once timing issue.
3. Skill -> Agent runtime integration:
SandboxBuilder.build() now auto-includes SkillInitializer if not
already present. This ensures sandbox.attrs has the skill bundle
loaded for downstream consumers (tool execution in sandbox).
4. LegacyResponseAdapter:
New module at core/app/apps/common/legacy_response_adapter.py.
Filters workflow-specific SSE events (workflow_started, node_started,
node_finished, workflow_finished) from the stream, passing through
only message/message_end/agent_log/error/ping events that old
clients expect.
46 unit tests pass.
Made-with: Cursor
