remove stepwise usage of workflows from code (#19877)

Author: logan-markewich

docs/docs/understanding/workflows/observability.md

@@ -99,30 +99,6 @@ Received event  Query 3
 Step step_three produced event StopEvent
 ```
 
-## Stepwise execution
-
-In a notebook environment it can be helpful to run a workflow step by step. You can do this by calling `run_step` on the handler object:
-
-```python
-w = ConcurrentFlow(timeout=10, verbose=True)
-handler = w.run(stepwise=True)
-
-# Each time we call `run_step`, the workflow will advance and return all the events
-# that were produced in the last step. This events need to be manually propagated
-# for the workflow to keep going (we assign them to `produced_events` with the := operator).
-while produced_events := await handler.run_step():
-    # If we're here, it means there's at least an event we need to propagate,
-    # let's do it with `send_event`
-    for ev in produced_events:
-        handler.ctx.send_event(ev)
-
-# If we're here, it means the workflow execution completed, and
-# we can now access the final result.
-result = await handler
-```
-
-You can call `run_step` multiple times to step through the workflow one step at a time.
-
 ## Visualizing most recent execution
 
 If you're running a workflow step by step, or you have just executed a workflow with branching, you can get the visualizer to draw only exactly which steps just executed using `draw_most_recent_execution`:

llama-index-core/llama_index/core/agent/workflow/base_agent.py

@@ -601,7 +601,6 @@ def run(
         chat_history: Optional[List[ChatMessage]] = None,
         memory: Optional[BaseMemory] = None,
         ctx: Optional[Context] = None,
-        stepwise: bool = False,
         max_iterations: Optional[int] = None,
         start_event: Optional[AgentWorkflowStartEvent] = None,
         **kwargs: Any,
@@ -610,7 +609,6 @@ def run(
         if ctx is not None and ctx.is_running:
             return super().run(
                 ctx=ctx,
-                stepwise=stepwise,
                 **kwargs,
             )
         else:
@@ -624,5 +622,4 @@ def run(
             return super().run(
                 start_event=start_event,
                 ctx=ctx,
-                stepwise=stepwise,
             )

llama-index-core/llama_index/core/agent/workflow/multi_agent_workflow.py

@@ -639,7 +639,6 @@ def run(
         chat_history: Optional[List[ChatMessage]] = None,
         memory: Optional[BaseMemory] = None,
         ctx: Optional[Context] = None,
-        stepwise: bool = False,
         max_iterations: Optional[int] = None,
         start_event: Optional[AgentWorkflowStartEvent] = None,
         **kwargs: Any,
@@ -648,7 +647,6 @@ def run(
         if ctx is not None and ctx.is_running:
             return super().run(
                 ctx=ctx,
-                stepwise=stepwise,
                 **kwargs,
             )
         else:
@@ -662,7 +660,6 @@ def run(
             return super().run(
                 start_event=start_event,
                 ctx=ctx,
-                stepwise=stepwise,
             )
 
     @classmethod