feat(annotate): Module 1 sees the whole episode as one video block

Replaces keyframe sampling with a single Qwen-VL video block covering
the whole demonstration. The model pools temporally itself and chooses
where to cut subtasks — no stride, no count, no keyframe count knob to
tune.

- frames.py: ``FrameProvider`` gains ``video_for_episode(record,
  max_frames)``; ``VideoFrameProvider`` samples up to ``max_frames``
  uniformly across the episode duration; ``_NullProvider`` returns []
  for the no-video fallback. New ``to_video_block`` helper.
- Module 1: drops keyframe sampling. The subtask prompt now goes out as
  ``[{"type":"video", "video":[<frames>]}, {"type":"text", ...}]`` and
  the prompt template asks the model to "watch the whole clip, then
  segment it" with cut points decided from gripper/contact/regrasp
  events the model sees.
- Module1Config: ``keyframes_per_episode`` removed; replaced with
  ``max_video_frames: int = 32`` (model-capacity bound, not annotation
  logic).
- Test: ``test_module1_attaches_video_block_to_subtask_prompt`` locks in
  the single-video-block invariant.
- Stub-VLM markers updated: tests now key on "atomic subtasks" instead
  of the old "Decompose the demonstration" phrase that no longer
  appears in the prompt.
- Docs: updated to describe the whole-episode video-block behavior and
  the no-video fallback.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

tests/annotations/test_pipeline_recipe_render.py

@@ -49,14 +49,14 @@ _RECIPE_PATH = (
 def _build_executor() -> Executor:
     vlm = make_canned_responder(
         {
-            "Decompose the demonstration": {
+            "atomic subtasks": {
                 "subtasks": [
                     {"text": "grasp the bottle", "start": 0.0, "end": 0.5},
                     {"text": "pour into the cup", "start": 0.5, "end": 1.0},
                     {"text": "place the bottle down", "start": 1.0, "end": 1.5},
                 ]
             },
-            "write a concise hierarchical PLAN": {"plan": "1. grasp\n2. pour\n3. place"},
+            "concise hierarchical PLAN": {"plan": "1. grasp\n2. pour\n3. place"},
             "Update the memory": {"memory": "poured once"},
             "acknowledgement the robot": {"text": "Sure."},
             "ONE realistic interruption": {