Preserve setup-time driver invariants

[jarcherNV]

Keep setup-time DriverInvariantError exceptions out of normal setup error policy handling in both batch and realtime demo drivers. Add regression coverage for setup invariant propagation and document MP4 generation handling across realtime resets.

[greptile-apps]

Greptile Summary

The PR moves Lingbot demo input preparation from the legacy mapping layer into a model-owned provider while preserving legacy behavior in tests. It also ensures setup-time driver invariant errors propagate directly, narrows compatibility-runner support to mapped scenarios, relaxes Lingbot session startup to support provider-prepared inputs, and documents continuous MP4 recording across realtime resets.

Confidence Score: 5/5

The PR appears safe to merge.

No blocking failure remains.

Important Files Changed

Filename	Overview
flashdreams/flashdreams/runtime/demo/drivers.py	Setup-time DriverInvariantError exceptions now bypass normal setup-error policy handling while retaining edge finalization.
flashdreams/flashdreams/runtime/demo/replay.py	Replay run mode now supports model-owned providers without mappings, while compatibility runners continue to require a mapping.
integrations/lingbot/lingbot/demo/adapter.py	Scenario preparation now stores provider-owned Lingbot input data in metadata instead of constructing a legacy mapping and canonicalizer.
integrations/lingbot/lingbot/demo/providers.py	Lingbot input preparation now directly owns trace loading, live-camera integration, keyboard state, text-event prompts, and reset state.
integrations/lingbot/lingbot/webrtc/session.py	Session startup now requires an initialized rollout rather than a legacy input mapping, enabling provider-prepared session inputs.
integrations/lingbot/tests/test_demo_providers.py	Provider behavior is compared with the legacy mapping path for initialization, trace slicing, live controls, skipped inputs, text events, and resets.

Sequence Diagram

sequenceDiagram
  participant Driver
  participant Adapter
  participant Provider as LingbotInputProvider
  participant Session
  participant Sink
  Adapter->>Provider: create from PreparedScenario metadata
  Driver->>Provider: prepare_initial_input()
  Driver->>Session: start/reset(initial input)
  loop each input window
    Driver->>Provider: prepare_step(requirements, window)
    Provider-->>Driver: camera tensors and prompt update
    Driver->>Session: step(prepared input)
    Session-->>Driver: StepResult
    Driver->>Sink: write(result)
  end
  Driver->>Provider: reset() on generation reset

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