feat: add prompt-first batches and pausable task guidance

artemis/graph/perception.py

@@ -23,6 +23,7 @@ from artemis.controllers.unified_controller import UnifiedMobileController
 from artemis.data_engine.trace import trace
 from artemis.graph.state import State
 from artemis.graph.visibility import strict_state
+from artemis.runtime.task_control import TaskControl
 from artemis.utils.logger import get_logger
 from artemis.utils.ocr_api import is_ocr_configured, perform_ocr
 from artemis.utils.ocr_xml_fusion import (
@@ -78,18 +79,9 @@ def _check_injected_instruction_file(base_dir: str) -> dict | None:
     Returns the payload dict: `instruction` (str | None) plus the explicit
     `release_loop` stop signal (bool) declared by the injecting caller.
     """
-    instruction_path = Path(base_dir) / "injected_instruction.json"
-    if instruction_path.exists():
-        with open(instruction_path, encoding="utf-8") as f:
-            data = json.load(f)
-        instruction_path.unlink()
-        payload = {
-            "instruction": data.get("instruction"),
-            "release_loop": bool(data.get("release_loop")),
-        }
-        logger.info(f"Read and deleted injected instruction payload: {payload}")
-        return payload
-    return None
+    from artemis.runtime.task_control import consume_instructions
+
+    return consume_instructions(base_dir)
 
 
 def _unprotect_current_check_lines(ctx: ArtemisContext) -> None:
@@ -122,6 +114,12 @@ async def perception_node(state: State, ctx: ArtemisContext) -> dict:
     """
     state = strict_state(state, "perception")
     logger.info("Entering Perception Node...")
+    control = getattr(ctx, "task_control", None)
+    if isinstance(control, TaskControl):
+        await control.checkpoint(
+            on_pause=getattr(ctx, "on_task_pause", None),
+            on_resume=getattr(ctx, "on_task_resume", None),
+        )
 
     if not ctx.data_engine.current_step_id:
         ctx.data_engine.allocate_step_id()