refactor(generators): assemble routed-expert traces incrementally - #1912
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For multi-turn rollouts, build routed-expert (R3) trace data incrementally as the conversation grows instead of re-gathering the whole conversation's routes on every turn. - Add `routed_experts_prompt_starts` to `InferenceEngineInput` and thread a per-request `routed_experts_prompt_start` through `RemoteInferenceClient` and `RemoteInferenceGenerator.generate()`, forwarded as a sampling param so the engine only returns routes for the newly generated suffix. - Introduce `TokenMetadataTrace` (token-aligned array accumulator) and `RoutedExpertTrace`, which records each generation's routes and finalizes a full per-token routed-expert array with loss-mask-aware terminal padding. - Track a `RoutedExpertTrace` on `AgentLoopState` and record routes per turn, replacing the previous whole-conversation re-gather in `SkyRLGymGenerator.agent_loop`. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Summary
TokenMetadataTracefor accumulating token-aligned NumPy metadata.RoutedExpertTracefor routed-expert (R3) multi-turn alignment with masked terminal gaps.routed_experts_prompt_start(s)) through the remote inference client andInferenceEngineInput.SkyRLGymGenerator.Why
The multi-turn generator sends the cumulative prompt on every inference request. Routed-expert generation previously returned routing rows for that full prefix on every turn and kept only the latest full tensor. Passing the number of already-captured rows to the engine makes routed-expert response metadata incremental: total route transfer becomes O(N) instead of O(N^2) over a growing trajectory. Full-prompt request traffic is unchanged and continues to benefit from sticky routing and prefix caching.
RoutedExpertTracerecords each generation's routes and finalizes a full per-token routed-expert array, padding the loss-masked terminal gap so the result stays aligned to the token sequence. The genericTokenMetadataTraceunderneath is a standalone token-aligned accumulator reusable beyond R3.Testing
uv run --isolated --extra dev --extra fsdp pytest tests/backends/skyrl_train/inference_servers/test_remote_inference_client.py tests/train/generators/test_skyrl_gym_generator.py tests/backends/skyrl_train/distributed/test_token_metadata.py— all pass (99 passed), including new coverage for incremental trace assembly, chunked/independent-schema traces, invalid-chunk rejection, and multi-turn suffix / terminal-gap padding.