Restore basic human in the loop

src/controlflow/core/controller/instruction_template.py

@@ -57,12 +57,11 @@ class TasksTemplate(Template):
     template: str = """
         ## Tasks
 
-        Your job is to complete the tasks assigned to you. Tasks may have multiple agents assigned. Only one agent
-        will be active at a time.
+        Your job is to complete any tasks assigned to you. Tasks may have multiple agents assigned.
 
         ### Current tasks
 
-        These tasks are assigned to you and ready to be worked on because their dependencies have been completed.
+        These tasks are assigned to you and ready to be worked on because their dependencies have been completed:
 
         {% for task in tasks %} 
         {% if task.is_ready %}

src/controlflow/llm/completions.py

@@ -19,6 +19,7 @@
     as_tools,
     get_tool_calls,
     handle_tool_call,
+    handle_tool_call_async,
 )
 
 
@@ -209,7 +210,7 @@ async def _completion_async_generator(
             response_messages.append(response_message)
 
             for tool_call in get_tool_calls(response_message):
-                tool_result_message = handle_tool_call(tool_call, tools)
+                tool_result_message = await handle_tool_call_async(tool_call, tools)
                 yield CompletionEvent(
                     type="tool_result_done", payload=dict(message=tool_result_message)
                 )

src/controlflow/llm/handlers.py

@@ -95,21 +95,26 @@ def on_tool_result_done(self, message: ToolMessage):
 
 
 class PrintHandler(CompletionHandler):
+    def __init__(self):
+        self.messages: dict[str, ControlFlowMessage] = {}
+        self.live = Live(auto_refresh=False)
+
     def on_start(self):
-        self.live = Live(refresh_per_second=12)
         self.live.start()
-        self.messages: dict[str, ControlFlowMessage] = {}
 
     def on_end(self):
         self.live.stop()
 
+    def on_exception(self, exc: Exception):
+        self.live.stop()
+
     def update_live(self):
         messages = sorted(self.messages.values(), key=lambda m: m.timestamp)
         content = []
         for message in messages:
             content.append(format_message(message))
 
-        self.live.update(Group(*content))
+        self.live.update(Group(*content), refresh=True)
 
     def on_message_delta(self, delta: AssistantMessage, snapshot: AssistantMessage):
         self.messages[snapshot.id] = snapshot

src/controlflow/llm/tools.py

@@ -4,6 +4,7 @@
 from typing import Any, Callable, Literal, Optional, Union
 
 import pydantic
+from prefect.utilities.asyncutils import run_coro_as_sync
 
 from controlflow.llm.messages import (
     AssistantMessage,
@@ -171,6 +172,8 @@ def handle_tool_call(tool_call: ToolCall, tools: list[dict, Callable]) -> ToolMe
             metadata.update(tool._metadata)
             fn_args = tool_call.function.json_arguments()
             fn_output = tool(**fn_args)
+            if inspect.isawaitable(fn_output):
+                fn_output = run_coro_as_sync(fn_output)
     except Exception as exc:
         fn_output = f'Error calling function "{fn_name}": {exc}'
         metadata["is_failed"] = True
@@ -199,7 +202,7 @@ async def handle_tool_call_async(
             metadata = tool._metadata
             fn_args = tool_call.function.json_arguments()
             fn_output = tool(**fn_args)
-            if inspect.is_awaitable(fn_output):
+            if inspect.isawaitable(fn_output):
                 fn_output = await fn_output
     except Exception as exc:
         fn_output = f'Error calling function "{fn_name}": {exc}'

src/controlflow/tools/talk_to_human.py

@@ -4,32 +4,33 @@
 
 from prefect.context import FlowRunContext
 from prefect.input.run_input import receive_input
+from rich.prompt import Prompt
 
 import controlflow
 from controlflow.llm.tools import tool
-from controlflow.utilities.context import ctx
 
 if TYPE_CHECKING:
-    from controlflow.tui.app import TUIApp
+    pass
 
 
 async def get_terminal_input():
     # as a convenience, we wait for human input on the local terminal
     # this is not necessary for the flow to run, but can be useful for testing
     loop = asyncio.get_event_loop()
-    user_input = await loop.run_in_executor(None, input, "Type your response: ")
+    # user_input = await loop.run_in_executor(None, input, "Type your response: ")
+    user_input = await loop.run_in_executor(None, Prompt.ask, "Type your response")
     return user_input
 
 
-async def get_tui_input(tui: "TUIApp", message: str):
-    container = []
-    await tui.get_input(message=message, container=container)
-    while not container:
-        await asyncio.sleep(0.1)
-    return container[0]
+# async def get_tui_input(tui: "TUIApp", message: str):
+#     container = []
+#     await tui.get_input(message=message, container=container)
+#     while not container:
+#         await asyncio.sleep(0.1)
+#     return container[0]
 
 
-async def listen_for_response():
+async def get_flow_run_input():
     async for response in receive_input(
         str, flow_run_id=FlowRunContext.get().flow_run.id, poll_interval=0.2
     ):
@@ -48,18 +49,11 @@ async def talk_to_human(message: str, get_response: bool = True) -> str:
         tasks = []
         # if running in a Prefect flow, listen for a remote input
         if (frc := FlowRunContext.get()) and frc.flow_run and frc.flow_run.id:
-            remote_input = asyncio.create_task(listen_for_response())
+            remote_input = asyncio.create_task(get_flow_run_input())
             tasks.append(remote_input)
         # if terminal input is enabled, listen for local input
         if controlflow.settings.enable_local_input:
-            # if a TUI is running, use it to get input
-            if controlflow.settings.enable_tui and ctx.get("tui"):
-                local_input = asyncio.create_task(
-                    get_tui_input(tui=ctx.get("tui"), message=message)
-                )
-            # otherwise use terminal
-            else:
-                local_input = asyncio.create_task(get_terminal_input())
+            local_input = asyncio.create_task(get_terminal_input())
             tasks.append(local_input)
         if not tasks:
             raise ValueError(