feat(integrations): add H100 Megatron/vLLM runtime adapters

[inaniloquentee]

Summary

• install one shared R/R operator plan in Megatron and vLLM workers without editing either framework
• route structural hidden-state and LM-head inputs through the separate strict linear_logp boundary
• bind the merged Attention/FFN semantic operators and persist CUDA-only runtime provenance/readbacks
• register the opt-in vLLM general plugin and add an exact train/rollout artifact validator
• add focused tests for runtime hooks, strict readback policy, and validation artifacts

Context

This completes the RL-Kernel-side runtime bridge exercised by #335 and the companion RL-Align/vime#42.

Depends on #336 for the separate strict SM90 sm90_deterministic_linear_logp entry points. The high-performance linear_logp route remains unchanged.

This PR targets RL-Align/RL-Kernel:test. It does not modify or target vllm-project/vime.

Validation

• adapter/integration suite: 97 passed
• with feat(linear-logp): add strict bitwise SM90 contract #336 temporarily applied: 59 passed
• wider Attention/CP/FlashInfer suite: 224 passed, 83 skipped
• Ruff, Flake8, Black, isort, compileall, and git diff --check: passed
• package egg_info contains vllm.general_plugins -> rl_engine.integrations.vllm_runtime:register_vllm_plugin

Two existing H100 preprocessing tests remain environment-blocked because the host Transformer Engine extension has a PyTorch ABI mismatch (undefined c10::Error symbol); the adapter-related tests pass.

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[Flink-ddd]

LGTM