Seeking help with some merge message issues when LangGraph is called in parallel

Awesome! This is a strong improvement, and your revised flow matches the right direction :flexed_biceps:

First, excellent work iterating this quickly.

Removing the empty transfer node

Good change.
That node was structurally redundant and could accidentally re-propagate state in unsafe ways.
Your new flow is cleaner and has fewer places for state merge errors.

Switching to ToolNode()

Also a very good change.
Using ToolNode reduces manual wiring mistakes around tool call execution and ToolMessage formatting/pairing etc.

One decision node + parallel tool execution

Your reasoning is correct.
Multiple decision (LLM) nodes usually add extra model hops (latency/cost), while the main speed-up comes from parallelizing tool execution after one decision step.
Your revised flowchart reflects this correctly.

Making “current time” a tool

This is valid, especially if “current time” is not always needed.
One nuance:

  • if time is needed for every request, inject it once in context/state (cheaper)
  • if time is conditional, exposing it as a tool is a good pattern

:flexed_biceps: You are doing exactly what strong engineers do: build, observe failures, simplify architecture, and iterate with evidence. Good job @Huimin-station :100: