fix: add missing RunnableConfig parameter to human_feedback_node (#629)

* fix: add missing RunnableConfig parameter to human_feedback_node

This fixes issue #569 where interrupt() was being called outside of a runnable context.
The human_feedback_node was missing the config: RunnableConfig parameter that all other
node functions have, which caused RuntimeError when interrupt() tried to access the config.

- Add config: RunnableConfig parameter to function signature
- Add State type annotation to state parameter for consistency
- Maintains LangGraph execution context required by interrupt()

* test: update human_feedback_node tests to pass RunnableConfig parameter

Update all test functions that call human_feedback_node to include the new
required config parameter. These tests were failing because they were not
providing the RunnableConfig argument after the fix to add proper LangGraph
execution context.

Tests updated:
- test_human_feedback_node_auto_accepted
- test_human_feedback_node_edit_plan
- test_human_feedback_node_accepted
- test_human_feedback_node_invalid_interrupt
- test_human_feedback_node_json_decode_error_first_iteration
- test_human_feedback_node_json_decode_error_second_iteration
- test_human_feedback_node_not_enough_context

All tests now pass the mock_config fixture to human_feedback_node.

src/graph/nodes.py

@@ -202,7 +202,7 @@ def planner_node(
 
 
 def human_feedback_node(
-    state,
+    state: State, config: RunnableConfig
 ) -> Command[Literal["planner", "research_team", "reporter", "__end__"]]:
     current_plan = state.get("current_plan", "")
     # check if the plan is auto accepted