Add prospective active intervention experiment

runs/action-aware-v0/pilot_controller.py

@@ -453,11 +453,21 @@ def execute_session(
     )
     if float(state["gpu_hours_total"]) + projection > base.GPU_LIMIT:
         raise RuntimeError(f"projected cost exceeds cap before {name}")
+    load_values = {
+        float(item["selection"]["offered_req_s_per_gpu"])
+        for item in manifest["repetitions"].values()
+    }
+    load_text = (
+        f"{next(iter(load_values)):.6g}"
+        if len(load_values) == 1
+        else ",".join(f"{value:.6g}" for value in sorted(load_values))
+    )
     echo = (
         f"ACTION_AWARE_SESSION_ECHO host=dash0 config={name} tp=4 "
         f"mns={config['mns']} mbbt={config['mbbt']} gpus=0-3 "
-        f"workload={manifest['source']['window_id']} load_per_gpu=2.125 "
-        f"duration_s=300 repetitions={','.join(map(str, config['repetition_order']))} "
+        f"workload={manifest['source']['window_id']} load_per_gpu={load_text} "
+        f"duration_s={manifest['engine']['duration_s']} "
+        f"repetitions={','.join(map(str, config['repetition_order']))} "
         f"source={args.manifest} output={args.run_root / 'sessions' / name} "
         f"spent_h20h={state['gpu_hours_total']:.6f} "
         f"remaining_projection_h20h={projection:.3f} cap_h20h={base.GPU_LIMIT:.1f}"