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feat(poc): PoC-v2 sampler residual for vLLM 0.25.1 (1/2 — plugin base)#70

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feat(poc): PoC-v2 sampler residual for vLLM 0.25.1 (1/2 — plugin base)#70
baychak wants to merge 2 commits into
gonka-ai:release/v0.25.1from
kaitakuai:poc/residual-v0.25.1-a-plugin-base

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@baychak

@baychak baychak commented Jul 26, 2026

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First of two PRs, splitting #66 as requested: plugin + vLLM 0.25 here, additional fixes in #71. DeepSeek needs no in-tree change at all — see below.

What this adds

The minimal in-tree surface the out-of-tree gonka-poc plugin needs on 0.25.1:

Area Files
Per-request logprobs_mode + enforced_token_ids sampling_params.py, v1/sample/metadata.py
need_processed_logprobs threading v1/sample/ops/topk_topp_sampler.py
Mixed-mode sampling + post-sampling enforced-token override v1/sample/sampler.py
InputBatch bookkeeping v1/worker/gpu_input_batch.py
Structured-output graceful degradation v1/structured_output/*
V2 runner rejects unsupported requests v1/worker/gpu/sample/sampler.py
Drift detectors tests/contract/
Full-image recipe docker/Dockerfile.gonka-poc

All PoC compute logic — nonce partitioning, seeded RNG, Householder scoring, L2 and binomial validation — stays in the plugin. Only what has no public vLLM hook lives here.

This is a port, and I reviewed it before asking you to

The sampler logic is carried over from the production PoC implementation, so replay stays bit-compatible with what the network already runs. A self-review before opening this found real defects in that logic. Fixed here are the ones that do not change behaviour for correct requests:

  • fill_bitmask leaked another request's mask. It returned early when grammar was disabled, and the bitmask tensor is reused across steps — so the row kept whatever mask last occupied it. In a shared batch that is a different request's grammar constraining this one. It now fills the row with -1, matching how the manager fills rows for requests that are not grammar-constrained.
  • validate_tokens kept filtering against a desynced FSM, which collapses speculative acceptance to zero while grammar is nominally off.
  • The enforced-token override forced a device sync on every decode stepmask.any() plus boolean-mask indexing, on the shared sampling path. torch.where does the same work without one.
  • The mixed-mode flag was written into a device tensor element by element: one copy and sync per request, per step. Now built on the host and transferred once.
  • Under the V2 runner the whole feature was a silent no-op. V2 has its own sampler that reads neither enforced tokens nor per-request logprobs mode, so a validator would receive a plausible completion that enforced nothing and treat it as a verified replay. The V2 sampler now rejects those requests. The Dockerfile still selects V1, but as a convenience default rather than the safety net it was standing in for, and the comment says so.

Defects that do change behaviour are deliberately not here; they follow as separate PRs, so that a port and a behaviour change never land in one diff:

  • scoping the grammar degradation to replay requests only (today it widens to all guided decoding)
  • logprobs_mode aggregated per batch rather than per request, and logprobs_mode_override altering the speculative-decoding path
  • enforcement repeating the last id instead of stopping once the replay is exhausted

Please do not cut a release from this PR alone — those fixes matter for correctness, they are just separable for review.

DeepSeek-V4

No change in this repository. Per-group KV metadata, positions, and deterministic pseudo input-ids all live in the plugin. A new model not touching vLLM is the point of the split.

Verification

ruff check and ruff format clean on every touched file. Contract tests assert structure and behaviour — field sets, signatures, a real SamplingParams round-trip, the validator rejecting an invalid mode — rather than grepping source text; they carry SPDX headers and reference only files that exist here.

Minimal in-tree surface the out-of-tree gonka-poc plugin needs on 0.25.1:
per-request logprobs_mode + enforced_token_ids, need_processed_logprobs
threading, mixed-mode sampling with post-sampling enforced-token override,
InputBatch bookkeeping, structured-output graceful degradation, and V1
model-runner containment (vLLM 0.25 ships a parallel V2 runner whose own
sampler would bypass this residual).

Contract tests pin the private vLLM surfaces the residual depends on so an
upstream refactor fails loudly before the next rebase.
docker/Dockerfile.gonka-poc composes the full image: this residual +
pip install gonka-poc (pinned to tag v0.1.0a0). All PoC compute logic
stays in the plugin.

Formatted with the repo's own ruff hooks (v0.14.0).

PR 1/2 of the split requested in gonka-ai#66 (plugin + vLLM 0.25).
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@baychak

baychak commented Jul 26, 2026

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Moved to draft — a self-review before asking anyone else to read this turned up defects in the shared (non-PoC) code paths. Not worth your time in this state; I will un-draft once they are fixed.

What the review found, for transparency:

  • fill_bitmask early-return: when the grammar is disabled the bitmask row is left untouched, and that tensor is reused across steps — so a request can inherit another request stale grammar mask. Needs fill_(-1), not return.
  • accept_tokens returning True on FSM rejection: this widens to all guided-decoding requests, so an ordinary response_format=json_schema request could return HTTP 200 with invalid JSON. The degradation must be scoped to requests that carry enforced tokens.
  • enforced_token_ids has no vocab-range validation: an out-of-vocab or negative id reaches the embedding lookup and takes down the worker.
  • logprobs_mode is aggregated per batch, not per request: with a deployment-level raw_logits/processed_logits setting, one request can change what its neighbours get.
  • logprobs_mode_override threaded into sample(): changes logprob semantics on the speculative-decoding path. Not needed for PoC — will be removed.
  • V2 containment is only an ENV in the Dockerfile, overridable by docker run -e, with no fail-loud in code. The table above claims containment in gpu_model_runner.py; the diff does not deliver that. My mistake — the description will be corrected along with the fix.
  • mask.any() in the sampler is a blocking device sync on every decode step; torch.where does the same job without it.

The base path (no enforced tokens, no per-request logprobs_mode) was traced line-by-line against upstream and is unchanged — the issues above are all conditional on specific configurations.

Self-review findings in the residual, before asking for an outside review.

fill_bitmask() returned early when grammar enforcement had been disabled for
a request. The bitmask tensor is reused across steps, so leaving that row
untouched applied whatever mask last occupied it -- in a shared batch, another
request's grammar -- and constrained the request to an unrelated token set.
It now fills the row with -1 (allow everything), which is how the manager
already fills rows for requests that are not grammar-constrained.

validate_tokens() had the same gap: after the FSM went out of sync it kept
filtering draft tokens against it, so speculative acceptance would collapse to
zero while grammar was nominally disabled. It now returns the tokens unchanged.

The enforced-token override used a masked assignment guarded by mask.any().
Both the guard and boolean-mask indexing force a device sync, on every decode
step, on the shared sampling path. torch.where does the same job without one.

The mixed-mode logprobs flag was written into a device tensor element by
element in a Python loop -- a separate copy and sync per request, up to
max_num_seqs of them per step. Built on the host and transferred once instead.

The V2 model runner has its own sampler that reads neither enforced tokens nor
per-request logprobs mode, so under V2 such a request returned a plausible
completion that enforced nothing -- a validator would treat it as a verified
replay. The V2 sampler now rejects those requests. The Dockerfile still selects
V1, but as a convenience default rather than the safety net it was standing in
for, and its comment says so.

Dockerfile: added a base-image version guard (overlaying .py from one minor
onto .so from another either fails at import or half-works), dropped a
duplicate scipy install, and removed the pip line that could downgrade fastapi
and pydantic out from under the base image. Justified the insecure-serialization
variable instead of leaving it unexplained.

Contract tests rewritten: assertions now read structure and behaviour --
msgspec field sets, signatures, a real SamplingParams round-trip, the validator
rejecting an invalid mode -- instead of grepping source text, which passed on
comments and broke on reformatting. References an outside reader cannot resolve
are gone, and the files carry SPDX headers so pre-commit passes. Same eight
tests, none weakened.

Verified: ruff check and ruff format clean; every touched file compiles; the
structural assertions checked against the working tree with an AST pass.
@baychak

baychak commented Jul 27, 2026

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Closing in favour of #78 and the series that follows it.

These were stacked but each opened against release/v0.25.1, so every one of them showed 22-23 changed files — the port and the fixes mixed together, with no way to review a single fix on its own.

Restructured: #78 carries the production PoC logic to 0.25.1 with no behaviour change, so it can be reviewed as a port. Each defect found while porting then gets its own PR on top, one finding each, so any that turn out to be deliberate design can be rejected without touching the rest.

Nothing here is lost — the content of this PR reappears in the series, with its own justification.

@baychak baychak closed this Jul 27, 2026
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