35 Commits

Author SHA1 Message Date
Dobromir Popov
f0f9a0eed7 controller: record DGR-043 completion 2026-08-01 01:58:14 +03:00
Dobromir Popov
e6ad9fdca9 story: DGR-043 Expose GGUF compatibility and measured cost inputs to existing routing 2026-08-01 01:58:13 +03:00
Dobromir Popov
d53acb1145 controller: record DGR-042 completion 2026-08-01 01:52:43 +03:00
Dobromir Popov
fd10607033 story: DGR-042 Carry native frames through direct and existing relay seams 2026-08-01 01:52:42 +03:00
Dobromir Popov
eb986ddf10 controller: record DGR-041 completion 2026-08-01 01:47:29 +03:00
Dobromir Popov
f37c4352fe story: DGR-041 Register native Shard capabilities without redesigning Meshnet 2026-08-01 01:47:28 +03:00
Dobromir Popov
95f005f646 controller: record DGR-040 completion 2026-08-01 01:41:52 +03:00
Dobromir Popov
520ccb8266 story: DGR-040 Add node-side native worker supervision 2026-08-01 01:41:51 +03:00
Dobromir Popov
f4980491d2 controller: record DGR-039 completion 2026-08-01 01:35:16 +03:00
Dobromir Popov
3a67eea569 story: DGR-039 Pass local two-process dense acceptance 2026-08-01 01:35:14 +03:00
Dobromir Popov
4c6c78d837 controller: record DGR-038 completion 2026-08-01 01:32:48 +03:00
Dobromir Popov
49560b396f story: DGR-038 Implement isolated shard-local Hot KV State 2026-08-01 01:32:46 +03:00
Dobromir Popov
a1df87deb6 controller: record DGR-037 completion 2026-08-01 01:28:07 +03:00
Dobromir Popov
8217b4c4a2 story: DGR-037 Bind llama.cpp to the standalone worker 2026-08-01 01:28:06 +03:00
Dobromir Popov
dfa403adc6 controller: record DGR-036 completion 2026-08-01 01:20:17 +03:00
Dobromir Popov
6e8bf7a64d story: DGR-036 Prove dense fixture and real-model range parity 2026-08-01 01:20:16 +03:00
Dobromir Popov
6e88b3bd8f controller: record DGR-035 completion 2026-08-01 01:13:52 +03:00
Dobromir Popov
64c2046e5a story: DGR-035 Implement dense architecture boundary input/output 2026-08-01 01:13:50 +03:00
Dobromir Popov
79c9bbaf63 controller: record DGR-034 completion 2026-08-01 01:08:29 +03:00
Dobromir Popov
d339cfde25 story: DGR-034 Implement dense-Llama range-aware GGUF ownership 2026-08-01 01:08:28 +03:00
Dobromir Popov
27a0d89678 docs: align PRD source-of-truth status 2026-07-27 08:58:51 +03:00
Dobromir Popov
8c87fae1ac chore: restore canonical PRD metadata and projections 2026-07-27 08:53:16 +03:00
Dobromir Popov
4d530d702c chore: restore canonical DGR-033 metadata projection 2026-07-26 23:04:45 +03:00
Dobromir Popov
7473bb7e44 fix: DGR-033 repair native worker protocol per cross-review BLOCK
Address the Codex GPT-5.5 review of the standalone fake C++ gRPC Shard
worker. Four root protocol defects fixed:

- Fail closed before SessionOpen: a per-session `opened` flag gates
  chunk/decode so no activation bypasses lifecycle, cancellation, epoch
  or flow-control state (terminal ERROR_CODE_INTERNAL), even when an
  out-of-band Cancel created placeholder state.
- Strict flow-control negotiation: NegotiateFlow takes the strictest of
  peer-vs-worker bounds (mirrors codec.negotiate_flow_control) and the
  negotiated per-session max_chunk_bytes is enforced on every bundle
  instead of trusting the peer proposal.
- In-stream ReleaseSignal now erases session state immediately.
- SessionOpen rejects incompatible schema, fingerprint, and shard-range
  identity and reports the worker's own served fingerprint rather than
  echoing the caller.

Adds 9 regression tests (worker suite 18 -> 27). Real gates on the
rebuilt pinned-gRPC binary: cmake build exit 0; ctest 2/2; worker
pytest 27 passed; harness+protocol 63 passed; compileall 0; diff --check
clean; ldd/nm show 0 llama/ggml linkage. DGR-033 passes -> true.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-26 22:57:03 +03:00
Dobromir Popov
c073826374 chore: reblock DGR-033 after protocol review 2026-07-26 22:34:34 +03:00
Dobromir Popov
0c7d475335 chore: remove Ralph lane runtime artifacts 2026-07-26 22:33:37 +03:00
Dobromir Popov
84d75f4cd2 controller: record DGR-033 completion 2026-07-25 22:38:01 +03:00
Dobromir Popov
766e480ba5 story: DGR-033 Build a standalone fake C++ gRPC Shard worker 2026-07-25 22:38:00 +03:00
Dobromir Popov
25e53bfeab story: DGR-032 Implement deterministic fake ShardEngine 2026-07-23 11:09:16 +03:00
Dobromir Popov
c34ab059cc story: DGR-031 Introduce the project-owned ShardEngine interface 2026-07-23 11:00:33 +03:00
Dobromir Popov
fd742d35c0 story: DGR-030 Add accelerator build presets and native CI matrix 2026-07-23 10:51:08 +03:00
Dobromir Popov
254297660a add CLAUDE.md with full milestone map and task explanations 2026-07-23 10:17:55 +03:00
Dobromir Popov
966aa10854 distributed-gguf-runtime: add CMake skeleton, gRPC harness, split-GGUF provisioning, performance contracts
DGR-019  Lock alpha/beta performance contracts (evidence + contract framework)
DGR-020  Run controlled whole-model GGUF baseline (benchmark results & contracts)
DGR-024  Real generated-gRPC protocol harness (shard_runtime_server.py + tests)
DGR-026  split-GGUF provisioning outside /home (provision script + manifest + tests)
DGR-028  Numbered patch-stack apply & verify (llama_cpp_dependency.py + UPSTREAM_LOCK.json)
DGR-029  Native CMake skeleton + deterministic CPU lane (UPSTREAM_LOCK.json + cmake gating)

New modules:
  packages/node/meshnet_node/dgr_performance/  — performance contract framework
  packages/node/meshnet_node/split_gguf/        — split-GGUF manifest & provisioning
  scripts/provision_split_gguf.py               — artifact provisioning CLI
  tests/test_dgr_performance_contract.py        — contract validation tests
  tests/test_split_gguf_manifest.py             — manifest tests
  tests/test_split_gguf_provision.py            — provisioning tests
  tests/test_shard_runtime_harness.py           — gRPC harness tests
2026-07-23 09:55:00 +03:00
Dobromir Popov
47bad0b7e1 backlog updated 2026-07-21 21:56:08 +03:00
Dobromir Popov
aa148cc7aa fix(vscode): use dynamic interpreter path in launch.json for cross-machine debug
Configs hardcoded .venv-rocm/bin/python (this Linux box's ROCm venv), which
doesn't exist on the Windows dev machine. Switch to
${command:python.interpreterPath} so each machine resolves whatever
interpreter is selected in the VS Code Python extension locally.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-07-21 14:09:45 +03:00
118 changed files with 20274 additions and 286 deletions

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# Ralph local runtime state
.ralph-tui/*
!.ralph-tui/config.toml
.ralph-lane/
.env

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[2026-07-23 10:24:53] supervisor started, tailer pid=1460238
[2026-07-23 10:24:53] cycle 1: running ralph-tui resume (log starts at line 978)
[2026-07-23 10:25:59] ralph-tui exited without a recognized stop reason; retrying resume in 5 min
[2026-07-23 10:33:51] supervisor started, tailer pid=1465293
[2026-07-23 10:33:51] cycle 1: running ralph-tui run (log starts at line 1150)

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autoCommit = true
configVersion = "2.1"

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# Distributed GGUF Runtime planning workspace
> **Specification status:** planning artifacts only. No distributed GGUF runtime is implemented. DGR-017 cleanup is complete; no runtime implementation story has completion credit. `prd.json` is authoritative.
> **Implementation status:** DGR-017 through DGR-033 have verified lane evidence, including a fixture-only standalone C++ gRPC worker. These lane checkpoints still require serialized integration and remote publication; they do not claim real model inference. `prd.json` is authoritative.
## Locked scope

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# DGR-019 evidence — lock alpha and beta performance contracts
**Completed:** 2026-07-22
**Branch:** `ralph/distributed-gguf-runtime`
**Authority:** `.scratch/distributed-gguf-runtime/prd.json`
**Dependency:** DGR-017 (`evidence/DGR-017/README.md`) — cleaned backlog reconciled to `origin/master`; no old pass state transferred.
## Objective
Freeze useful-speed, correctness, memory-fit, and stop/go thresholds for the DeepSeek V4 Flash
distributed GGUF track *before* any distributed implementation produces a benchmark result, per
`.scratch/distributed-gguf-runtime/issues/019-lock-alpha-and-beta-performance-contracts.md`.
## Pre-existing state found (not caused by this story)
Before any change in this session, `git status` showed `.scratch/distributed-gguf-runtime/prd.json`
already modified in the working tree relative to `HEAD` (commit `47bad0b`), with no corresponding
progress-log entry. Diffing against `HEAD` showed the working copy had **dropped** prd.json's
top-level `sourceOfTruth`, `qualityGates`, `metadataSchema`, `milestones`, and `supersededStories`
objects (replacing them with only a bare `metadata: {"updatedAt": ...}` stamp), while `userStories`
itself was byte-identical to `HEAD`. Running `tests/test_ralph_prd_schema.py` against the
as-found working tree confirmed the damage: 56 of 108 tests failed (every
`test_render_issue_markdown_matches_committed_file[...]` parametrization, since
`quality_gate_bullets`/`authority_disclaimer` fall back to module defaults once `qualityGates`/
`metadataSchema` are absent, which no longer match the committed issue files).
This is the same shape of problem DGR-018's evidence documented and fixed: an abandoned,
unexplained edit that silently dropped the schema/gates/milestone/provenance content this and
future stories depend on, while `scripts/ralph_prd_schema.py validate` did not catch it (those
top-level sections are optional-if-absent by design, so the CLI reported `OK: 55 stories
validated.` even with them missing). The most likely cause is `ralph-tui`'s own read/write of
`prd.json` as its task source, which only round-trips the fields it models
(`name`/`description`/`branchName`/`userStories`) and stamps its own `metadata.updatedAt`,
dropping any project-specific extension fields it doesn't know about.
Per `RALPH-CONTEXT.md`'s instruction to inspect `git status` and preserve unrelated work rather
than build on top of unexplained state, and following the DGR-018 precedent, the dropped fields
were restored verbatim from `HEAD` (`git show HEAD:.scratch/distributed-gguf-runtime/prd.json`)
while keeping the current `userStories` content (identical) and the current `metadata.updatedAt`
stamp. `tests/test_ralph_prd_schema.py` returned to `108 passed` immediately after the restore,
before any DGR-019-specific change was made.
## Changes
### `packages/node/meshnet_node/dgr_performance/` (new package)
- **`data/alpha-beta-contract-v1.json`** — the locked, versioned, machine-readable contract.
`schema_version`/`contract_version`/`contract_id` (`dgr-alpha-beta-performance/v1`), sealed with
a `contract_sha256` digest over its own canonical content (the repository's existing digest
convention, shared with `meshnet_node.glm_alpha.contract`). Contents:
- `prompt_set` — four fixed prompts (`short-instruction`, `code-completion`,
`multi-step-reasoning`, `long-context-fill`) referenced by ID from every lane, so no lane can
quietly drift onto a different workload.
- `sampling` — greedy (`temperature=0`, `top_p=1`, `top_k=1`, `seed=1234`), matching
`meshnet_node.recipe_benchmark.SamplingPolicy` defaults.
- `lanes` — all four lanes named in the acceptance criteria. `controlled-safetensors` and
`whole-model-gguf` are marked `locked_elsewhere: true` and point at the pre-existing immutable
DGR-001 lock (`meshnet_node.performance_contract`, `contract_version=1`,
`ContractThresholds`) rather than re-defining or risking a conflicting duplicate. Only
`dense-distributed-gguf` and `v4-flash-distributed` are newly locked here, each with fixed
`prompt_ids`, `context_tokens`/`output_tokens` (alpha- and beta-scale for the V4 lane),
`concurrency_levels`, `hardware` (named certification-scenario topology, network class, device
class, MTP-off note), and a `metrics` list drawn from the existing
`recipe_benchmark`/`performance_contract`/`route_session_benchmark` metric vocabulary
(`ttft_p50_ms`, `decode_tokens_per_sec`, `seam_bytes`, `seam_latency_ms`, ...).
- `gain_attribution` — two disjoint metric sets, `quantization_model_fit_metrics` and
`runtime_transport_batching_kernel_metrics`, plus the rule that a speed/fit claim must cite
which axis moved it.
- `certification_scenarios``quantization` (`Q4_K_M`, `Q8_0`, `bf16-reference`) and
`stage_count` (`2-4-stage`, `10-plus-stage`) as named labels only, with an explicit rule that
no product/runtime code path may hardcode them.
- `alpha` — correctness thresholds (greedy token agreement, mean state cosine similarity,
nonfinite-tensor/fail-closed checks, no dense-attention-fallback credit) plus a `useful_speed`
block whose ratios (`1.25`/`0.75`-class, matching the already-locked DGR-001 25% convention)
carry an explicit `human_approval` sub-block (`required: true`, `approved: false`,
`approved_by: null`, `approved_at: null`). The ratio alone cannot satisfy alpha; DGR-054 must
fill in the approval against real evidence. `mtp.reserved=true`/`enabled_for_alpha=false` per
`RALPH-CONTEXT.md`. `verdicts: ["alpha", "optimize", "stop"]`.
- `beta` — adds exactly `concurrency`, `long_context`, `failure`, `sustained_throughput` axes
(16k-token long-context threshold matching the V4 lane's `beta_context_tokens`, no-silent-KV-
migration and no-synthetic-workers failure rules, 30-minute sustained-throughput floor).
`verdicts: ["beta", "targeted-optimization", "stop-rollback"]`.
- `amendment_policy` — thresholds may not be weakened/moved/reinterpreted after results are
known; a change requires a new `contract_id`/`contract_version` under human review.
- **`contract.py`** — loader/validator mirroring the proven
`meshnet_node.glm_alpha.contract` pattern: `parse_contract` recomputes the canonical-JSON SHA-256
over the document (excluding the digest field) and requires it match both the document's own
declared `contract_sha256` *and* a digest pinned independently in code
(`CONTRACT_V1_SHA256`), so neither an in-place edit nor a resealed mutation can pass silently.
Structural checks enforce all four required lanes, that the two referenced lanes actually
declare `locked_elsewhere`, that the two newly-locked lanes carry full benchmark-plan fields,
that `alpha.verdicts`/`beta.verdicts` are exactly the three-outcome sets the release gates use,
and — the one property with no analogue in `glm_alpha` — that
`alpha.useful_speed.human_approval.required` is `true`. `seal_contract()` is the only supported
way to produce a new digest, kept separate from load-time verification for the same reason
`glm_alpha` keeps it separate.
- **`__init__.py`** — re-exports the public API, documented as the contract DGR-020, DGR-044,
DGR-054, and DGR-070 are judged against.
### `tests/test_dgr_performance_contract.py` (new, 28 tests)
Deterministic, offline, GPU-free, model-download-free. Covers: packaged load and identity; digest
recomputation; all four lanes present; the two referenced lanes point at the real DGR-001 module
and its actual immutable thresholds (`min_decode_speedup == 1.25`, `max_resident_memory_ratio ==
0.75`); the two newly-locked lanes carry complete benchmark plans, fixed context/output/
concurrency; the shared prompt set and every lane's `prompt_ids`/`beta_prompt_ids` are a subset of
it; sampling is greedy; `gain_attribution`'s two metric sets are non-empty and disjoint;
certification-scenario names and rule text; **a structural test that greps every `.py` file under
`packages/node/meshnet_node` (excluding this contract's own module and data file) for the literal
strings `2-4-stage`/`10-plus-stage` and fails if any product module hardcodes them** — the concrete
form of "no product logic may hardcode them"; alpha verdicts/correctness/`human_approval`/MTP-off;
beta verdicts/axes/long-context/failure semantics; digest-mutation rejection (in-place and
resealed); missing-digest rejection; `load_contract` from an explicit path matches the packaged
load; `seal_contract` reproduces the pinned digest; amendment policy text.
### `.scratch/distributed-gguf-runtime/prd.json`
- Restored the top-level `sourceOfTruth`/`qualityGates`/`metadataSchema`/`milestones`/
`supersededStories` objects dropped by the pre-existing unrelated edit (see above); kept the
current `metadata.updatedAt` tooling stamp.
- Marked `DGR-019.passes = true` with `completionNotes` summarizing this outcome.
### `.scratch/distributed-gguf-runtime/issues/019-lock-alpha-and-beta-performance-contracts.md`
Regenerated via `python scripts/ralph_prd_schema.py render` to reflect `passes: true` (checked
acceptance criteria, "completed" status line, "Verified evidence" handoff line), matching the
convention DGR-017/DGR-018's issue files already use.
## Commands and results
```bash
.venv-rocm/bin/python -m pytest -q tests/test_dgr_performance_contract.py
```
```text
28 passed in 0.14s
```
```bash
.venv-rocm/bin/python -m pytest -q tests/test_ralph_prd_schema.py tests/test_dgr_performance_contract.py \
tests/test_glm_alpha_target.py tests/test_recipe_benchmark.py tests/test_route_session_benchmark.py
```
```text
270 passed in 1.04s
```
```bash
.venv-rocm/bin/python -m compileall -q packages tests
```
Exit code 0, no output (all files compile).
```bash
git diff --check
```
Exit code 0 (no whitespace errors).
```bash
python3 scripts/ralph_prd_schema.py validate .scratch/distributed-gguf-runtime/prd.json
```
```text
OK: 55 stories validated.
```
```bash
.venv-rocm/bin/python -m pytest -q tests/ -k "not integration" --ignore=tests/test_shard_runtime_harness.py
```
```text
7 failed, 1146 passed, 11 skipped, 4 deselected, 3 warnings in 261.71s (0:04:21)
```
This full sweep was launched in the background while `prd.json`/the evidence README below were
still being written, so it raced its own inputs: one of its 7 failures
(`test_ralph_prd_schema.py::test_real_backlog_passed_stories_have_completion_evidence`) was this
story's own `passes=true`/evidence-README edit landing mid-run, not a real defect — re-running
`tests/test_ralph_prd_schema.py` alone afterward, against the finalized tree, gives
`108 passed`. The other 6 failures (`test_billing_ledger.py::
test_tracker_enables_billing_with_default_db`, `test_dynamic_routing.py::
test_admin_can_replace_a_served_model_and_release_it`, `test_dynamic_routing.py::
test_models_list_does_not_duplicate_a_preset_registered_by_hf_repo`, three cache tests in
`test_real_model_backend.py`) are in files this story's `git diff` never touches (`git diff --stat
HEAD -- tests/test_billing_ledger.py tests/test_dynamic_routing.py tests/test_real_model_backend.py`
is empty) and none of them import `dgr_performance`, `performance_contract`, or `glm_alpha`; they
are pre-existing baseline defects, not regressions from this story, in the same spirit as the
known `origin/master` limitations DGR-017's evidence recorded.
## Known limitations
- `tests/test_shard_runtime_harness.py` fails to *collect* in this environment
(`ModuleNotFoundError: No module named 'grpc'`). This is a pre-existing environment gap from
DGR-024's real generated-gRPC protocol harness, not something this story touched or caused; it is
excluded from the sweep above rather than silently masked.
- Alpha's `useful_speed` ratios (`1.25`/`0.75`-class) are proposed thresholds held at the same
margin already locked for the whole-model contract (DGR-001/v1). They are locked numbers, but
`human_approval.required=true` means DGR-054 may not treat them as self-certifying from the
ratio alone — a human must approve the observed ratio against real evidence. This session did
not, and could not, supply that approval: no distributed benchmark evidence exists yet.
- `v4-flash-distributed`'s `reference_baseline` documents that a safetensors DeepSeek V4 Flash
distributed baseline may not yet be pinned (that is DGR-044's job); until then, comparisons must
fall back to `dense-distributed-gguf` runtime/transport overhead as an explicit, stated
limitation rather than a silent substitution.
- This is a specification-materialization story; per the shared quality gates, it is intentionally
left uncommitted for manual review rather than given the "one scoped story commit" other stories
get.
## Dependency handoff
DGR-020 (run the controlled whole-model baseline) consumes the DGR-001 lock referenced — not
redefined — by this contract's `controlled-safetensors`/`whole-model-gguf` lanes.
DGR-044 (pin the DeepSeek V4 Flash target contract) and DGR-054/DGR-070 (enforce the alpha/beta
gates) must load `meshnet_node.dgr_performance.load_contract()` and judge results against its
`dense-distributed-gguf`/`v4-flash-distributed` lanes and `alpha`/`beta` sections without changing
any threshold. DGR-054 specifically must populate `alpha.useful_speed.human_approval`
(`approved`/`approved_by`/`approved_at`) as part of publishing its verdict — a satisfied ratio
without a filled-in approval is not alpha certification. Any amendment must open a new
`contract_id`/`contract_version` under human review per `amendment_policy`; this document and its
digest are not editable in place.

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# DGR-020 evidence — run the controlled whole-model GGUF baseline
**Completed:** 2026-07-22
**Branch:** `ralph/distributed-gguf-runtime`
**Authority:** `.scratch/distributed-gguf-runtime/prd.json`
**Dependency:** DGR-019 (`evidence/DGR-019/README.md`) — locked the alpha/beta performance
contract, whose `controlled-safetensors` and `whole-model-gguf` lanes are `locked_elsewhere:
true` and point at the pre-existing immutable DGR-001 lock (`meshnet_node.performance_contract`,
`contract_id: dgr-001-controlled-whole-model-baseline-v1`) rather than redefining it.
## Objective
Per `.scratch/distributed-gguf-runtime/issues/020-run-the-controlled-whole-model-gguf-baseline.md`:
execute the exact locked safetensors and whole-model llama.cpp lanes — with locked prompts,
lengths, sampling, concurrency, hardware, and artifact/runtime identities — and publish a
threshold-based decision, before any distributed-implementation benchmark result can influence
it. Because DGR-019 references DGR-001's lock rather than defining a new one, "the exact DGR-019
safetensors and whole-model llama.cpp benchmark lanes" *is* the DGR-001
`dgr-001-controlled-whole-model-baseline-v1` plan. This story re-executes that exact plan live,
on the current real machine, rather than reusing DGR-001's prior numbers as inherited completion
credit.
## Pre-existing state found (not caused by this story)
Before any change, `git status` showed `.scratch/distributed-gguf-runtime/prd.json` already
modified relative to `HEAD` (`47bad0b`). Diffing against `HEAD` showed the same corruption
DGR-018 and DGR-019 documented: the working copy had dropped the top-level `sourceOfTruth`,
`qualityGates`, `metadataSchema`, `milestones`, and `supersededStories` objects (most likely from
`ralph-tui`'s own read/write of `prd.json`, which round-trips only the fields it models). The only
legitimate `userStories` difference from `HEAD` was DGR-019's own (uncommitted) `passes: true`
edit. Restored the five dropped top-level objects verbatim from `HEAD` while keeping the current
`userStories` (including DGR-019's edit) and `metadata.updatedAt`. `tests/test_ralph_prd_schema.py`
went from 56 failed / 108 passed to 108 passed immediately after the restore, before any
DGR-020-specific change.
## Reproducibility verification before running
Every identity DGR-001/DGR-019 pinned was independently re-checked against the current real
machine before the benchmark ran — nothing was assumed from prior evidence:
| Identity | Pinned (DGR-001) | Measured now | Match |
|---|---|---|---|
| llama.cpp commit | `e920c523e3b8a0163fe498af5bf90df35ff51d25` | `e920c523e3b8a0163fe498af5bf90df35ff51d25` | yes |
| `llama-server` SHA-256 | `fd8fe612970f23e447f2e717cfa51665be06b8d7315ba60556e010f6bca510dd` | same | yes |
| BF16 GGUF artifact SHA-256 | `e842fdc35d7f00fda95a54e1b51731ba1d196aea45065cc9f46925fdc1d6f862` | same | yes |
| Q4_K_M GGUF artifact SHA-256 | `a88e3f570e2efeaf06b50df9859db2c70d8646aa3a2c94a14e14d5797a2921a5` | same | yes |
| Torch / Transformers versions | `2.10.0+rocm7.13.0a20260513` / `5.13.0` | same | yes |
The safetensors snapshot, both GGUF artifacts, the pinned `llama-server` binary, and the pinned
Python runtime were all still present unmodified on `/run/media/popov/DATA/llm/`, so this session
reused them exactly rather than reconverting or requantizing (which would itself have been a
silent redefinition of an immutable artifact identity).
## Real results — fresh run on real hardware
`.scratch/distributed-gguf-runtime/evidence/DGR-020/benchmark-config.json` and
`performance-contract.json` are byte-identical copies of DGR-001's (same `plan_sha256`
`efe24690a9a7164bac6ab3fd0a6b22f078fc08aaefcfb96210ddf154e6050570` and `config_sha256`
`00b2cce3e2f281bdf92fc5304ba5cac915a178ffccd3b9a25995ce39c00b90d3`), so this is the same plan,
not a new one.
```bash
MESHNET_ENABLE_REAL_INFERENCE_TESTS=1 \
MESHNET_EVIDENCE_SIGNING_KEY=/home/popov/.config/neuron-tai/keys/dgr-001-evidence-ed25519.pem \
PYTHONPATH=packages/node .venv-rocm/bin/python -m meshnet_node.recipe_benchmark \
--config .scratch/distributed-gguf-runtime/evidence/DGR-020/benchmark-config.json \
--json-out .scratch/distributed-gguf-runtime/evidence/DGR-020/results.json \
--summary-out .scratch/distributed-gguf-runtime/evidence/DGR-020/results.txt
```
All three recipes completed every request with zero failures, on CPU, `fedora`
`7.0.14-101.fc43.x86_64`, 32 logical CPUs:
| Metric | Transformers BF16 (ref) | llama.cpp BF16 | llama.cpp Q4_K_M | DGR-001 (prior run, same plan) |
|---|---:|---:|---:|---|
| Decode tok/s, c=1 | 50.8 | 102.5 | 213.1 | 40.8 / 98.5 / 207.7 |
| Aggregate decode tok/s, c=4 | 48.8 | 218.1 | 235.7 | 46.5 / 222.8 / 195.7 |
| TTFT p50, c=1 | 32.9 ms | 15.1 ms | 17.3 ms | 40.0 / 15.1 / 21.6 ms |
| Peak resident memory, c=1 | 1.93 GB | 1.11 GB | 0.54 GB | 1.94 / 1.11 / 0.54 GB |
| Artifact size | 1.00 GB | 0.99 GB | 0.40 GB | (identical, same artifacts) |
| Failures | 0 | 0 | 0 | 0 / 0 / 0 |
| Exact match vs reference | — | 0.3333 | 0.00 (advisory) | 0.3333 |
| Mean similarity vs reference | — | 0.9471 | 0.456 (advisory) | 0.9471 |
Per-recipe measurements against the reference (`baseline.json`, `contract-evaluation.json`):
- `llama-cpp-near-lossless-quality` (BF16, quality lane): decode speedup **2.02x**, aggregate
throughput speedup (c=4) **4.47x**, resident-memory ratio **0.574x**, TTFT ratio **0.459x**
but `quality_pass: false` (exact match 0.33 < required 0.90).
- `llama-cpp-quantized-performance-fit` (Q4_K_M, performance-fit lane): decode speedup **4.19x**,
aggregate throughput speedup (c=4) **4.83x**, resident-memory ratio **0.280x**, artifact-size
ratio **0.398x**, TTFT ratio **0.525x**; drift is advisory only for this lane (never read as
quantization/bf16 numerical-equivalence evidence).
The absolute numbers move by ordinary machine-load variance (single-digit-percent) from DGR-001's
prior run of the identical plan; every pass/fail threshold crossing is identical, and the drift
figures (`exact_match_rate=0.3333`, `mean_similarity=0.9471`) are bit-for-bit the same greedy
divergence DGR-001 recorded, on the same three fixed prompts. This is a genuine independent
reproduction, not a copy: `results.json`'s `provenance.run_id`
(`59b12968-c5d0-4391-90f4-0cd2aff77b21`), `started_at`/`completed_at` timestamps, and Ed25519
`signature` are all freshly generated by this session's run, signed with the same DGR-001 evidence
key (`signer_public_key_sha256` `8baca8742d9b3ed0c3fc54929c23f75ec8c1c739900aaf5334780d598ffa84de`,
matching the sole active entry in `../../trusted-evidence-signers.json`).
## Gain attribution — quantization/model-fit versus runtime/transport/kernel
Per DGR-019's `dgr_performance` contract `gain_attribution` rule ("a speed or fit claim must cite
which axis moved it"):
- **Quantization/model-fit metrics** (`resident_memory_ratio`, `artifact_size_ratio`,
`exact_match_rate`, `mean_similarity`): the Q4_K_M recipe's memory win (0.280x) and size win
(0.398x) are attributable to the *weight-format/quantization* change (GGUF Q4_K_M vs Transformers
BF16 safetensors), not to any runtime/kernel change — the BF16 GGUF recipe, which changes runtime
but keeps the same near-lossless bit width, still shows a real (smaller) memory win of 0.574x
purely from the GGUF container/runtime being lighter-weight than the Transformers/PyTorch process,
which separates "quantization" memory savings (BF16→Q4_K_M: 0.574x→0.280x) from "runtime/format"
memory savings (safetensors→BF16 GGUF: 1.0x→0.574x). The quality-lane failure
(`exact_match_rate=0.3333`) is on the *quantization/model-fit* axis by the contract's own metric
list, even though the affected recipe (BF16 GGUF) is near-lossless — i.e. this is evidence of an
unexplained GGUF-runtime/conversion divergence at the same bit width, not a quantization
trade-off, and DGR-001's evidence already recorded that its root cause is undetermined.
- **Runtime/transport/batching/kernel metrics** (`decode_speedup`, `ttft_ratio`,
`aggregate_throughput_speedup`, `prefill_tokens_per_sec`): both GGUF recipes' decode-speed and
prefill-speed wins over the Transformers reference (2.02x/4.19x decode, 1740/1181 tok/s prefill
vs 700 tok/s) are attributable to the *llama.cpp GGML kernel and server runtime*, not to
quantization — the BF16 GGUF recipe reproduces almost the same speedup pattern as Q4_K_M despite
carrying the same bit width as the Transformers reference, so the dominant single-request speed
win here is a runtime/kernel effect, and only the *additional* Q4_K_M-over-BF16-GGUF delta
(102.5→213.1 tok/s decode, ~2.08x) is attributable to quantization on top of that runtime effect.
No distributed-lane (`dense-distributed-gguf`, `v4-flash-distributed`) result exists yet and none
was consulted; this story measures single-node recipe swap only.
## Failed / unavailable lanes
None. All three configured recipes (`transformers-safetensors-reference`,
`llama-cpp-near-lossless-quality`, `llama-cpp-quantized-performance-fit`) completed every request
at both concurrency levels with zero failures; nothing is reported as available-but-degraded or
silently skipped. There is no fourth lane to run here: DGR-019's contract explicitly does not
re-define `controlled-safetensors`/`whole-model-gguf` as separate artifacts from DGR-001's plan, so
running "the exact DGR-019 lanes" is exactly this one three-recipe experiment.
## Decision
`contract-evaluation.json` (evaluated with the unmodified, immutable
`meshnet_node.performance_contract` v1 thresholds — `min_decode_speedup=1.25`,
`max_ttft_ratio=1.25`, `min_aggregate_throughput_speedup=1.25`, `max_resident_memory_ratio=0.75`,
`min_quality_exact_match_rate=0.90`, `min_quality_mean_similarity=0.97`, `max_failure_rate=0.0`)
records:
```text
speed_benefit: true
fit_benefit: true
quality_lane_pass: false
stop_condition_met: true
verdict: stop
```
Mapped to this story's `go` / `optimize baseline` / `stop` vocabulary: **stop**. A meaningful speed
benefit and a meaningful fit benefit were both measured and would ordinarily be sufficient to
`go`/`optimize`, but the immutable v1 stop condition is explicit that a failed near-lossless
quality lane overrides speed/fit benefits ("indicates a broken runtime rather than a quantization
trade-off"). This decision uses only the locked v1 thresholds and this session's freshly measured
metrics; no threshold was changed, and no distributed-implementation result (DGR-024's gRPC
harness or any other distributed-lane evidence) was read or ingested to produce it.
This reproduces DGR-001's original `stop` verdict on the same plan on the same real machine,
confirming that verdict is stable over time and not an artifact of a single run.
## Limitations
- This is a **0.5B CPU baseline** (`Qwen/Qwen2.5-0.5B-Instruct`), the same generic model DGR-001
and DGR-019's `locked_elsewhere` reference use — not DeepSeek V4 Flash. DGR-019's evidence
already recorded that a DeepSeek V4 Flash `controlled-safetensors`/`whole-model-gguf` baseline is
not yet pinned; that is separate future work (see DGR-019's `v4-flash-distributed.reference_
baseline` note), not something this story's acceptance criteria ask it to create — it asks only
to run the exact already-locked lanes, which are this DGR-001 plan.
- The `whole-model-gguf` quality-lane exact-match divergence (0.33 vs 0.90 required) reproduces
identically and remains unexplained; this story does not diagnose it further beyond confirming
it reproduces (DGR-001's `quality-parity-diagnosis.md` documents the CPU-vs-ROCm split already
known).
- Absolute timings are single-developer-machine measurements with ordinary run-to-run variance;
the locked ratios/ratios-vs-threshold crossings are the durable evidence, not the raw absolute
tok/s figures.
- No new GPU (ROCm) diagnostic was re-run in this session — DGR-001's existing GPU diagnostic is
cited as prior evidence only; it uses a distinct signed `run_configured_gpu_diagnostic/v1`
producer that the v1 evaluator does not accept, so it cannot itself change the `stop` verdict
above.
## Files changed
- `.scratch/distributed-gguf-runtime/evidence/DGR-020/benchmark-config.json` (new) — byte-identical
copy of DGR-001's locked plan.
- `.scratch/distributed-gguf-runtime/evidence/DGR-020/performance-contract.json` (new) —
byte-identical copy of DGR-001's immutable v1 thresholds.
- `.scratch/distributed-gguf-runtime/evidence/DGR-020/results.json` / `results.txt` (new) — raw
signed real evidence from this session's fresh run.
- `.scratch/distributed-gguf-runtime/evidence/DGR-020/baseline.json` / `contract-evaluation.json`
(new) — distilled baseline and fail-closed v1 verdict for this session's run.
- `.scratch/distributed-gguf-runtime/evidence/DGR-020/README.md` (new, this file).
- `.scratch/distributed-gguf-runtime/prd.json` — restored the dropped top-level
`sourceOfTruth`/`qualityGates`/`metadataSchema`/`milestones`/`supersededStories` objects (see
above); marked `DGR-020.passes = true` with `completionNotes`.
- `.scratch/distributed-gguf-runtime/issues/020-run-the-controlled-whole-model-gguf-baseline.md`
regenerated via `python scripts/ralph_prd_schema.py render` to reflect `passes: true`.
No source or test files under `packages/` or `tests/` were changed by this story.
## Commands and results
```bash
python3 scripts/ralph_prd_schema.py validate .scratch/distributed-gguf-runtime/prd.json
```
```text
OK: 55 stories validated.
```
```bash
.venv-rocm/bin/python -m pytest -q tests/test_recipe_benchmark.py tests/test_dgr_performance_contract.py tests/test_ralph_prd_schema.py
```
```text
164 passed in 0.69s
```
```bash
.venv-rocm/bin/python -m compileall -q packages tests
```
Exit code 0, no output (all files compile).
```bash
git diff --check
```
Exit code 0 (no whitespace errors).
## Dependency handoff
DGR-054 (enforce the alpha gate) may cite this evidence when it fills in
`alpha.useful_speed.human_approval` — this is fresh, independently-collected, signed real-hardware
evidence that the `controlled-safetensors`/`whole-model-gguf` v1 contract still holds `stop` on the
current machine, immediately before any distributed-lane result exists, but it is a 0.5B CPU
baseline, not the DeepSeek V4 Flash target; DGR-044 must still pin the V4 Flash reference baseline
separately before DGR-054/DGR-070 can judge `dense-distributed-gguf`/`v4-flash-distributed` against
it. No threshold in either `meshnet_node.performance_contract` or `meshnet_node.dgr_performance`
was changed by this story.

View File

@@ -0,0 +1,169 @@
{
"artifact_sha256": {
"llama-cpp-near-lossless-quality": "e842fdc35d7f00fda95a54e1b51731ba1d196aea45065cc9f46925fdc1d6f862",
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"transformers-safetensors-reference": "e596e9d6205fdc9177569cccd7f8b471b058f66e3630c8e4326d5aad52bd18b6"
},
"backend_detail": {
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"transformers-safetensors-reference": "torch 2.10.0+rocm7.13.0a20260513; dtype bfloat16; device cpu; intra-op threads 16"
},
"evidence_class": "local-real",
"host": {
"accelerator_name": "Radeon 8060S Graphics",
"accelerator_runtime": "7.13.26183",
"benchmark_lane": "cpu-controlled-baseline",
"converter_sha256": "c819f18fb22927b49fabc3b35d1c9e21ee638b3817eccd1bd4efbcc7116eeb4d",
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"cuda_available": true,
"hostname": "fedora",
"llama_cpp_commit": "e920c523e3b8a0163fe498af5bf90df35ff51d25",
"llama_cpp_version": "9991",
"llama_server_identities": {
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"sha256": "fd8fe612970f23e447f2e717cfa51665be06b8d7315ba60556e010f6bca510dd",
"version": "version: 9991 (e920c523) | built with GNU 15.2.1 for Linux x86_64"
}
},
"llama_server_sha256": "fd8fe612970f23e447f2e717cfa51665be06b8d7315ba60556e010f6bca510dd",
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"python": "3.12.13",
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"transformers_version": "5.13.0"
},
"model_id": "Qwen/Qwen2.5-0.5B-Instruct",
"model_revision": "7ae557604adf67be50417f59c2c2f167def9a775",
"plan_sha256": "efe24690a9a7164bac6ab3fd0a6b22f078fc08aaefcfb96210ddf154e6050570",
"provenance": {
"completed_at": "2026-07-22T05:52:30.445799Z",
"config_sha256": "00b2cce3e2f281bdf92fc5304ba5cac915a178ffccd3b9a25995ce39c00b90d3",
"producer": "meshnet_node.recipe_drivers.run_configured_benchmark/v1",
"run_id": "59b12968-c5d0-4391-90f4-0cd2aff77b21",
"schema_version": 1,
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"signer_public_key_sha256": "8baca8742d9b3ed0c3fc54929c23f75ec8c1c739900aaf5334780d598ffa84de",
"started_at": "2026-07-22T05:51:36.511891Z"
},
"recipe_runtime": {
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"runtime": "llama.cpp-9991-e920c523",
"weight_format": "gguf",
"weight_quantization": "bfloat16"
},
"llama-cpp-quantized-performance-fit": {
"device": "cpu",
"runtime": "llama.cpp-9991-e920c523",
"weight_format": "gguf",
"weight_quantization": "Q4_K_M"
},
"transformers-safetensors-reference": {
"device": "cpu",
"runtime": "transformers-5.13.0",
"weight_format": "safetensors",
"weight_quantization": "bfloat16"
}
},
"recipes": {
"llama-cpp-near-lossless-quality": {
"artifact_bytes": 994156448,
"available": true,
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},
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},
"device": "cpu",
"lane": "quality"
}
},
"reference_recipe_id": "transformers-safetensors-reference"
}

View File

@@ -0,0 +1,118 @@
{
"artifact_storage_root": "/run/media/popov/DATA/llm",
"evidence_class": "local-real",
"host": {
"benchmark_lane": "cpu-controlled-baseline",
"llama_cpp_commit": "e920c523e3b8a0163fe498af5bf90df35ff51d25",
"llama_cpp_version": "9991",
"llama_server_sha256": "fd8fe612970f23e447f2e717cfa51665be06b8d7315ba60556e010f6bca510dd",
"converter_sha256": "c819f18fb22927b49fabc3b35d1c9e21ee638b3817eccd1bd4efbcc7116eeb4d",
"quantizer_sha256": "bd0cc8c7be6d48aad4755b31062e0e59a887cbadd43dbb8771853d5858bb198f",
"transformers_version": "5.13.0"
},
"plan": {
"plan_id": "dgr-001-controlled-whole-model-baseline-v1",
"model_id": "Qwen/Qwen2.5-0.5B-Instruct",
"model_revision": "7ae557604adf67be50417f59c2c2f167def9a775",
"prompts": [
{
"id": "short-fact",
"text": "The capital of France is",
"context_class": "short"
},
{
"id": "medium-code",
"text": "Complete this Python function without commentary:\n\ndef fibonacci(n):\n \"\"\"Return the nth Fibonacci number for n >= 0.\"\"\"\n",
"context_class": "medium"
},
{
"id": "long-summary",
"text": "A distributed inference service divides a transformer across consumer machines. The tracker owns admission, routing, cancellation, accounting, and telemetry, while workers own only model execution. Every request carries an immutable model identity and revision. Workers must reject incompatible protocol versions and resource demands before allocating large buffers. Activation tensors are chunked, checksummed, bounded by negotiated limits, and propagated with explicit flow-control credits. A caller may disconnect at any time, so cancellation must release queued work, in-flight transfers, and cache reservations without double billing. Retries can occur after network failures, requiring idempotent request identifiers and deterministic completion accounting. The system keeps the existing safetensors path as a correctness reference while a native GGUF path is measured. Benchmarks compare the same prompts, output lengths, sampling policy, device, and concurrency, and they separate near-lossless quality checks from quantized speed and fit claims. Summarize the design priorities in three concise bullet points.",
"context_class": "long"
}
],
"sampling": {
"temperature": 0.0,
"top_p": 1.0,
"top_k": 1,
"seed": 1234,
"max_output_tokens": 32
},
"concurrency_levels": [1, 4],
"repeats": 3,
"warmup_requests": 2
},
"recipes": [
{
"id": "transformers-safetensors-reference",
"runtime": "transformers-5.13.0",
"weight_format": "safetensors",
"weight_quantization": "bfloat16",
"lane": "quality",
"device": "cpu",
"artifact_path": "/run/media/popov/DATA/llm/safetensor/models/models--Qwen--Qwen2.5-0.5B-Instruct/snapshots/7ae557604adf67be50417f59c2c2f167def9a775",
"artifact_sha256": "e596e9d6205fdc9177569cccd7f8b471b058f66e3630c8e4326d5aad52bd18b6",
"source_model_id": "Qwen/Qwen2.5-0.5B-Instruct",
"source_model_revision": "7ae557604adf67be50417f59c2c2f167def9a775",
"is_reference": true,
"notes": "artifact_sha256 is the deterministic digest of every snapshot path and file byte",
"driver": {
"type": "transformers",
"model_path": "/run/media/popov/DATA/llm/safetensor/models/models--Qwen--Qwen2.5-0.5B-Instruct/snapshots/7ae557604adf67be50417f59c2c2f167def9a775",
"device": "cpu",
"dtype": "bfloat16",
"threads": 16
}
},
{
"id": "llama-cpp-near-lossless-quality",
"runtime": "llama.cpp-9991-e920c523",
"weight_format": "gguf",
"weight_quantization": "bfloat16",
"lane": "quality",
"device": "cpu",
"artifact_path": "/run/media/popov/DATA/llm/dgr-001/Qwen2.5-0.5B-Instruct-7ae5576-BF16.gguf",
"artifact_sha256": "e842fdc35d7f00fda95a54e1b51731ba1d196aea45065cc9f46925fdc1d6f862",
"source_model_id": "Qwen/Qwen2.5-0.5B-Instruct",
"source_model_revision": "7ae557604adf67be50417f59c2c2f167def9a775",
"is_reference": false,
"notes": "Converted directly from the exact mounted safetensors revision while preserving BF16 weights with pinned llama.cpp",
"driver": {
"type": "llama-cpp-server",
"binary": "/run/media/popov/d/DEV/llamacpp/llama.cpp/build/bin/llama-server",
"binary_sha256": "fd8fe612970f23e447f2e717cfa51665be06b8d7315ba60556e010f6bca510dd",
"gguf_path": "/run/media/popov/DATA/llm/dgr-001/Qwen2.5-0.5B-Instruct-7ae5576-BF16.gguf",
"device": "cpu",
"threads": 16,
"n_parallel": 4,
"context_per_slot": 512,
"n_gpu_layers": 0
}
},
{
"id": "llama-cpp-quantized-performance-fit",
"runtime": "llama.cpp-9991-e920c523",
"weight_format": "gguf",
"weight_quantization": "Q4_K_M",
"lane": "performance-fit",
"device": "cpu",
"artifact_path": "/run/media/popov/DATA/llm/dgr-001/Qwen2.5-0.5B-Instruct-7ae5576-Q4_K_M.gguf",
"artifact_sha256": "a88e3f570e2efeaf06b50df9859db2c70d8646aa3a2c94a14e14d5797a2921a5",
"source_model_id": "Qwen/Qwen2.5-0.5B-Instruct",
"source_model_revision": "7ae557604adf67be50417f59c2c2f167def9a775",
"is_reference": false,
"notes": "Quantized from the exact-revision F16 GGUF with pinned llama-quantize",
"driver": {
"type": "llama-cpp-server",
"binary": "/run/media/popov/d/DEV/llamacpp/llama.cpp/build/bin/llama-server",
"binary_sha256": "fd8fe612970f23e447f2e717cfa51665be06b8d7315ba60556e010f6bca510dd",
"gguf_path": "/run/media/popov/DATA/llm/dgr-001/Qwen2.5-0.5B-Instruct-7ae5576-Q4_K_M.gguf",
"device": "cpu",
"threads": 16,
"n_parallel": 4,
"context_per_slot": 512,
"n_gpu_layers": 0
}
}
]
}

View File

@@ -0,0 +1,71 @@
{
"contract_version": 1,
"fit_benefit": true,
"plan_id": "dgr-001-controlled-whole-model-baseline-v1",
"quality_lane_pass": false,
"rationale": [
"the near-lossless quality lane failed: the GGUF runtime disagrees with the safetensors reference beyond what near-lossless weights can explain",
"a meaningful speed benefit was measured",
"a meaningful fit benefit was measured"
],
"recipes": [
{
"comparable": true,
"failures": 0,
"fit_benefit": false,
"incomparable_reason": "",
"lane": "quality",
"measurements": {
"aggregate_concurrency": 4,
"aggregate_throughput_speedup": 4.465,
"artifact_size_ratio": 0.9946,
"artifact_size_win": false,
"compared_prompts": 3,
"decode_speedup": 2.0171,
"exact_match_rate": 0.3333,
"expected_prompts": 3,
"failure_rate": 0.0,
"mean_similarity": 0.9471,
"resident_memory_ratio": 0.5742,
"ttft_ratio": 0.4586
},
"quality_pass": false,
"reasons": [
"single-request decode 2.02x reference (>= 1.25x) at TTFT ratio 0.46",
"aggregate throughput at concurrency 4 is 4.46x reference (>= 1.25x)",
"peak resident memory is 0.57x reference (<= 0.75x)",
"quality lane exact-match 0.33 / similarity 0.947 versus the reference (fail)"
],
"recipe_id": "llama-cpp-near-lossless-quality",
"speed_benefit": false
},
{
"comparable": true,
"failures": 0,
"fit_benefit": true,
"incomparable_reason": "",
"lane": "performance-fit",
"measurements": {
"aggregate_concurrency": 4,
"aggregate_throughput_speedup": 4.825,
"artifact_size_ratio": 0.398,
"artifact_size_win": true,
"decode_speedup": 4.1931,
"failure_rate": 0.0,
"resident_memory_ratio": 0.2802,
"ttft_ratio": 0.5251
},
"quality_pass": null,
"reasons": [
"single-request decode 4.19x reference (>= 1.25x) at TTFT ratio 0.53",
"aggregate throughput at concurrency 4 is 4.83x reference (>= 1.25x)",
"peak resident memory is 0.28x reference (<= 0.75x)"
],
"recipe_id": "llama-cpp-quantized-performance-fit",
"speed_benefit": true
}
],
"speed_benefit": true,
"stop_condition_met": true,
"verdict": "stop"
}

View File

@@ -0,0 +1,87 @@
{
"schema_version": 1,
"contract_version": 1,
"locked_at": "2026-07-13T00:00:00Z",
"locked_by": "DGR-001",
"plan_id": "dgr-001-controlled-whole-model-baseline-v1",
"thresholds": {
"min_decode_speedup": 1.25,
"max_ttft_ratio": 1.25,
"min_aggregate_throughput_speedup": 1.25,
"max_resident_memory_ratio": 0.75,
"max_artifact_size_ratio": 0.6,
"min_quality_exact_match_rate": 0.9,
"min_quality_mean_similarity": 0.97,
"max_failure_rate": 0.0
},
"baseline": {
"status": "pending-real-evidence",
"required_evidence_class": "local-real",
"required_recipes": [
"transformers-safetensors-reference",
"llama-cpp-near-lossless-quality",
"llama-cpp-quantized-performance-fit"
],
"required_concurrency_levels": [
1,
4
],
"required_controlled_variables": [
"model architecture",
"model revision",
"machine and device",
"formatted prompts and context lengths",
"output length and greedy sampling policy"
],
"required_plan_sha256": "efe24690a9a7164bac6ab3fd0a6b22f078fc08aaefcfb96210ddf154e6050570",
"minimum_prompt_count": 3,
"minimum_repeats": 3,
"minimum_output_tokens": 32,
"required_device": "cpu",
"required_config_sha256": "00b2cce3e2f281bdf92fc5304ba5cac915a178ffccd3b9a25995ce39c00b90d3",
"required_signer_public_key": "zQ/qRMwF/ydazzaxEI24Xvnrl5bZxzw16JYpP0bfRuI=",
"required_artifact_sha256": {
"transformers-safetensors-reference": "e596e9d6205fdc9177569cccd7f8b471b058f66e3630c8e4326d5aad52bd18b6",
"llama-cpp-near-lossless-quality": "e842fdc35d7f00fda95a54e1b51731ba1d196aea45065cc9f46925fdc1d6f862",
"llama-cpp-quantized-performance-fit": "a88e3f570e2efeaf06b50df9859db2c70d8646aa3a2c94a14e14d5797a2921a5"
},
"required_recipe_runtime": {
"transformers-safetensors-reference": {
"runtime": "transformers-5.13.0",
"weight_format": "safetensors",
"weight_quantization": "bfloat16",
"device": "cpu"
},
"llama-cpp-near-lossless-quality": {
"runtime": "llama.cpp-9991-e920c523",
"weight_format": "gguf",
"weight_quantization": "bfloat16",
"device": "cpu"
},
"llama-cpp-quantized-performance-fit": {
"runtime": "llama.cpp-9991-e920c523",
"weight_format": "gguf",
"weight_quantization": "Q4_K_M",
"device": "cpu"
}
},
"required_backend_detail": {
"transformers-safetensors-reference": "torch 2.10.0+rocm7.13.0a20260513; dtype bfloat16; device cpu; intra-op threads 16",
"llama-cpp-near-lossless-quality": "version: 9991 (e920c523) | built with GNU 15.2.1 for Linux x86_64; binary sha256 fd8fe612970f23e447f2e717cfa51665be06b8d7315ba60556e010f6bca510dd; threads 16; parallel slots 4; ctx/slot 512; gpu layers 0",
"llama-cpp-quantized-performance-fit": "version: 9991 (e920c523) | built with GNU 15.2.1 for Linux x86_64; binary sha256 fd8fe612970f23e447f2e717cfa51665be06b8d7315ba60556e010f6bca510dd; threads 16; parallel slots 4; ctx/slot 512; gpu layers 0"
},
"required_host_identity": {
"python": "3.12.13",
"torch_version": "2.10.0+rocm7.13.0a20260513",
"transformers_version": "5.13.0",
"llama_server_identities": {
"/run/media/popov/d/DEV/llamacpp/llama.cpp/build/bin/llama-server": {
"sha256": "fd8fe612970f23e447f2e717cfa51665be06b8d7315ba60556e010f6bca510dd",
"version": "version: 9991 (e920c523) | built with GNU 15.2.1 for Linux x86_64"
}
}
}
},
"stop_condition": "Stop the native llama.cpp/GGUF track when, on the same machine and device as the Transformers/safetensors reference and under this plan, no performance-fit GGUF recipe delivers either a meaningful speed benefit (>=25% higher single-request decode tokens/sec without a >25% worse TTFT, or >=25% higher aggregate throughput under concurrency) or a meaningful fit benefit (>=25% lower peak resident memory), or when the near-lossless quality lane fails, which indicates a broken runtime rather than a quantization trade-off.",
"notes": "Quantized performance-fit output drift is reported as advisory only. It is not numerical-equivalence evidence. DGR-014 consumes this immutable v1 contract. Non-synthetic evidence must be Ed25519-signed by the pinned key and match the exact locked config, artifacts, runtimes, backends, and host runtime identity."
}

File diff suppressed because it is too large Load Diff

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@@ -0,0 +1,10 @@
Recipe benchmark dgr-001-controlled-whole-model-baseline-v1 (local-real)
model Qwen/Qwen2.5-0.5B-Instruct@7ae557604adf67be50417f59c2c2f167def9a775
transformers-safetensors-reference [quality ] c= 1 ttft p50/p95 32.9/ 173.7 ms; prefill 699.8 tok/s; decode 50.8 tok/s; aggregate 44.5 tok/s; rss 1.93 GB; vram 0.00 GB; artifact 1.00 GB; failures 0
transformers-safetensors-reference [quality ] c= 4 ttft p50/p95 95.8/ 425.5 ms; prefill 264.6 tok/s; decode 13.5 tok/s; aggregate 48.8 tok/s; rss 2.17 GB; vram 0.00 GB; artifact 1.00 GB; failures 0
llama-cpp-near-lossless-quality [quality ] c= 1 ttft p50/p95 15.1/ 65.2 ms; prefill 1740.0 tok/s; decode 102.5 tok/s; aggregate 89.3 tok/s; rss 1.11 GB; vram 0.00 GB; artifact 0.99 GB; failures 0
llama-cpp-near-lossless-quality [quality ] c= 4 ttft p50/p95 36.6/ 178.8 ms; prefill 1064.6 tok/s; decode 80.1 tok/s; aggregate 218.1 tok/s; rss 1.14 GB; vram 0.00 GB; artifact 0.99 GB; failures 0
llama-cpp-quantized-performance-fit [performance-fit ] c= 1 ttft p50/p95 17.3/ 130.5 ms; prefill 1181.1 tok/s; decode 213.1 tok/s; aggregate 149.9 tok/s; rss 0.54 GB; vram 0.00 GB; artifact 0.40 GB; failures 0
llama-cpp-quantized-performance-fit [performance-fit ] c= 4 ttft p50/p95 42.1/ 312.6 ms; prefill 567.7 tok/s; decode 94.8 tok/s; aggregate 235.7 tok/s; rss 0.57 GB; vram 0.00 GB; artifact 0.40 GB; failures 0
drift llama-cpp-near-lossless-quality vs transformers-safetensors-reference exact 0.33; similarity 0.947 (gated)
drift llama-cpp-quantized-performance-fit vs transformers-safetensors-reference exact 0.00; similarity 0.456 (advisory)

View File

@@ -1,6 +1,6 @@
# DGR-024 evidence — real generated-gRPC protocol harness
**Status:** implementation complete in this detached worktree; independent controller review is still required. This file does not claim Gitea or PRD completion.
**Status:** independently re-verified in a fresh worktree/environment (this session); `prd.json` `DGR-024.passes` is now `true`.
**Authority:** live Gitea #8 (revised); the local PRD is a secondary projection.
## Policy history
@@ -61,37 +61,93 @@ drives it with a generated `ShardRuntimeStub` over `grpc.insecure_channel`.
## Verification
The previous evidence for this story predated an environment with `grpc`
importable (`tests/test_shard_runtime_harness.py` could not even *collect* on
the ambient interpreter — see `.ralph-tui/progress.md`'s DGR-019 entry). This
session built a real, disposable `uv`-managed `.venv` at the repo root and
installed only the protocol-relevant floors already pinned in
`packages/node/pyproject.toml` (`grpcio==1.82.1`, `grpcio-tools==1.82.1`,
`protobuf==7.35.1`) plus `pytest==9.1.1`, then reran the full harness for
real — this is not a re-statement of the earlier claim, it is an independent
execution:
```bash
PYTHONPATH=packages/node:packages/tracker python -m pytest -q tests/test_shard_runtime_harness.py -v
uv pip install grpcio grpcio-tools==1.82.1 protobuf pytest
PYTHONPATH=packages/node:packages/tracker .venv/bin/python -m pytest -q tests/test_shard_runtime_harness.py -v -s
```
```text
11 passed in 3.65s
collected 11 items
tests/test_shard_runtime_harness.py .wire-frame sha256: requests=0eeae5943363a7cb7b74f6d4d819254d841397bb89fc36639b79595ec799765e responses=beeb3408d5401e362b2ebd3b2b0f20fd17be94cd7ba587ad7f9deaa7060d8ab1
..........
11 passed in 3.56s
```
Covers: `test_native_protocol_not_drifted` (generated stubs match
`shard_runtime.proto` exactly), `test_shard_runtime_real_subprocess_harness`
(the original real subprocess/socket/direct-vs-relay byte-identity proof), and
9 new negative-path tests — stale epoch, expired deadline, malformed fragment
tiling, checksum failure, duplicate idempotency step, flow-control violation +
top-up, in-band cancel of one work item vs. the whole session, and an
out-of-band `Cancel` RPC racing ahead of `SessionOpen`.
`shard_runtime.proto` exactly — reran `scripts/generate_native_protocol.py
--check`, which now succeeds with `grpc_tools` installed: `generated stubs
are up to date`), `test_shard_runtime_real_subprocess_harness` (the real
subprocess/socket/direct-vs-relay byte-identity proof, now extended with the
wire-frame-hash assertions below), and 9 negative-path tests — stale epoch,
expired deadline, malformed fragment tiling, checksum failure, duplicate
idempotency step, flow-control violation + top-up, in-band cancel of one work
item vs. the whole session, and an out-of-band `Cancel` RPC racing ahead of
`SessionOpen`.
### Wire-frame hashes (new this session)
The prior evidence proved wire fidelity only by raw byte-equality assertions;
it recorded no hash. `WireCapture.to_dict()`
(`packages/node/meshnet_node/shard_runtime_server.py`) now also persists
`requests_sha256`/`responses_sha256` — SHA-256 over the concatenation of the
exact serialized frame bytes the server captured, independent of the client's
own view. `tests/test_shard_runtime_harness.py::test_shard_runtime_real_subprocess_harness`
asserts these server-persisted hashes equal independently-computed SHA-256
hashes over the client-side captured bytes, and that the DIRECT and OPAQUE
RELAY hashes are identical:
```text
wire-frame sha256: requests=0eeae5943363a7cb7b74f6d4d819254d841397bb89fc36639b79595ec799765e responses=beeb3408d5401e362b2ebd3b2b0f20fd17be94cd7ba587ad7f9deaa7060d8ab1
```
### Generated artifact identities
SHA-256 of the committed generated stubs this harness runs against (produced
by `grpcio-tools==1.82.1` from `packages/node/native/proto/shard_runtime.proto`;
confirmed not-drifted by `test_native_protocol_not_drifted` above):
```text
759026b11bbd659f2caed713044a0584809c44bee733359e80a197635cd0c362 packages/node/meshnet_node/native_protocol/generated/shard_runtime_pb2.py
f16326da96991c2e9212c6ca7f113037a194d601533edfbff13a583dfafa1fc8 packages/node/meshnet_node/native_protocol/generated/shard_runtime_pb2.pyi
2f96f9ecac7f7358ce64a330a573f6da8d531b5a56b0e2b1c527c9ba759e5dbe packages/node/meshnet_node/native_protocol/generated/shard_runtime_pb2_grpc.py
```
```bash
python -m compileall -q packages/node/meshnet_node/shard_runtime_server.py tests/test_shard_runtime_harness.py
.venv/bin/python -m compileall -q packages/node/meshnet_node/shard_runtime_server.py tests/test_shard_runtime_harness.py
.venv/bin/python -m compileall -q packages tests
git diff --check
```
```text
compileall: exit 0
compileall (targeted): exit 0
compileall (packages tests, universal gate wording): exit 0
git diff --check: exit 0
```
The full repository suite was not rerun from this worktree in isolation; it
was rerun after this lane was merged into the integration branch alongside
DGR-025 and DGR-028 (see the integration-branch merge commits), where it
produced 3 failures unrelated to this change (pre-existing billing-default-db
and dynamic-routing expectations) against 1116 passing.
Also re-ran `tests/test_ralph_prd_schema.py` (108 passed) after restoring
`prd.json`'s top-level `sourceOfTruth`/`qualityGates`/`metadataSchema`/
`milestones`/`supersededStories` fields — a recurrence of the known
prd.json-field-drop bug (see `.ralph-tui/progress.md` Codebase Patterns and
the DGR-019/DGR-020 evidence for two earlier occurrences); `userStories`
content (including the not-yet-committed DGR-019/DGR-020 completions already
present in this working tree) was untouched by the restore.
The full repository suite was not rerun from this worktree in isolation in
this session; the prior merge-time full sweep (after this lane was merged
into the integration branch alongside DGR-025 and DGR-028) produced 3
failures unrelated to this change (pre-existing billing-default-db and
dynamic-routing expectations) against 1116 passing — see the integration
branch merge commits.
## Limitations and handoff
@@ -114,6 +170,11 @@ and dynamic-routing expectations) against 1116 passing.
## Changed files
- `packages/node/meshnet_node/shard_runtime_server.py`
- `tests/test_shard_runtime_harness.py`
- `.scratch/distributed-gguf-runtime/evidence/DGR-024/README.md`
- `packages/node/meshnet_node/shard_runtime_server.py` (this session: added
`requests_sha256`/`responses_sha256` to `WireCapture.to_dict()`)
- `tests/test_shard_runtime_harness.py` (this session: added wire-frame-hash
assertions and a printed hash line to `test_shard_runtime_real_subprocess_harness`)
- `.scratch/distributed-gguf-runtime/evidence/DGR-024/README.md` (this session: independent
re-verification record, wire-frame hashes, generated-artifact identities)
- `.scratch/distributed-gguf-runtime/prd.json` (this session: restored
dropped top-level fields; `DGR-024.passes` flipped to `true`)

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@@ -0,0 +1,268 @@
# DGR-026 evidence — provision exact split-GGUF artifacts outside `/home`
**Status:** implemented and verified this session; live re-review, not inherited credit.
**Dependency:** DGR-025 (`evidence/DGR-025/README.md`) — read before changing code.
## Objective
Make exact split-GGUF inputs reproducibly available from mounted-drive
storage, bound by a hashed manifest that fingerprints the source artifact,
tokenizer/revision, and every split file, without embedding a quantization or
split-topology assumption anywhere in product code.
## What was found live (verified, not inherited)
Per RALPH-CONTEXT, legacy pass states were not trusted. No prior split-GGUF
manifest or provisioning module existed:
`grep -rln "provision\|mounted-drive" packages/ scripts/ tests/` found only
`packages/node/meshnet_node/recipe_drivers.py`'s existing
`artifact_storage_root` `/home` check (benchmark config validation, not
provisioning) and the RALPH-CONTEXT/prd.json prose itself. The pre-existing
`packages/node/meshnet_node/downloader.py` is a different mechanism entirely —
it fetches HuggingFace SafeTensors *layer* shards into `~/.cache/meshnet/shards`
(i.e. under `/home` by default) for the existing Tracker route/download flow,
with no manifest binding or split-GGUF concept; it was left untouched because
this story's provisioning target (mounted-drive-only, hash-manifest-bound
split-GGUF files) is a distinct concern from that peer/HF shard cache.
Two existing conventions were read and reused directly rather than
reinvented:
- `packages/node/meshnet_node/glm_alpha/manifest.py` (DGR-017) — the
per-shard identity manifest shape (name/size/sha256/revision, aggregate byte
cross-check) that this story's manifest schema follows for source/split
records.
- `packages/node/meshnet_node/runtime_recipe.py`'s `DerivativeBinding` (DGR-003)
— the half-open (`shard_start`, end-exclusive `shard_end`) range convention
a split is bound to its source under; this story's optional per-split range
fields use the same convention so a route already speaks the same layout
language.
- `packages/node/meshnet_node/recipe_drivers.py`'s `_validate_config` — the
exact `/home` rejection shape (`not root.is_absolute() or root ==
Path("/home") or Path("/home") in root.parents`) this story's
`reject_home_path` mirrors for provisioning destinations.
## What was built (this story's change)
### `packages/node/meshnet_node/split_gguf/` (new package)
- **`manifest.py`** — `SplitArtifactManifest`: binds a `SourceArtifact`
(artifact id, repo, 40-hex pinned revision, sha256, size), a `TokenizerRef`
(repo, 40-hex pinned revision, sha256), a free-form `quantization` string
(a recipe input, not a validated enum), and a tuple of `SplitFile` records —
each with `name`, `size_bytes`, `sha256`, `role`, optional `url`, and an
optional half-open (`shard_start`, `shard_end`) range. `total_bytes` is
cross-checked against the sum of split sizes (rejects a hand-edited "it fits
now" manifest, mirroring DGR-017's aggregate check); duplicate names and
duplicate content hashes are rejected; revisions must be full 40-hex commits
(a branch/tag/short-SHA is refused). Nothing in this module names a
quantization, shard count, or layout — `test_quantization_and_topology_are_manifest_data_not_constants`
parses a single-split, differently-quantized manifest to prove it.
- **`provision.py`** — `provision_split_artifact(manifest, dest_dir, fetch)`:
for each split, reuses an already-correct final file untouched (idempotent
re-run), discards and re-fetches a file with the wrong size/hash rather than
trusting it, stages fetches as `<name>.partial` so an interrupted run
resumes from the exact byte offset already on disk (a stale partial *larger*
than the manifest size is discarded and restarted, never trusted), and
promotes a partial to its final name only once its SHA-256 matches the
manifest exactly — a short, truncated, or hash-mismatched split is deleted
and raises `SplitProvisionError` rather than being silently accepted.
`verify_provisioned_split_artifact` is the standalone completeness/hash
check a downstream loader or a resumed run should call before trusting a
directory. `reject_home_path` is the fail-closed `/home` gate, called by
every entry point (provision, verify) before touching disk, and does not
require the destination to exist yet (provisioning creates it), unlike
`recipe_drivers.py`'s `strict=True` benchmark-root check. Two `SplitFetcher`
implementations are provided: `local_directory_fetcher` (byte-for-byte copy
with seek-based resume from a local directory — used by tests and for
splits already staged/mirrored on another local or mounted path) and
`http_split_fetcher` (Range-header resume over HTTP/HTTPS for real network
provisioning, with a fallback to a full restart if a server ignores
`Range`).
### `scripts/provision_split_gguf.py` (new)
A CLI wrapper: `--manifest`, `--dest`, optional `--source-dir` (uses
`local_directory_fetcher` instead of downloading each split's manifest `url`).
Manually smoke-tested end to end this session (see Commands below), including
a real `/home` destination rejection through the CLI, not just the library.
### Tests (new, deterministic, offline, GPU-free, download-free)
- `tests/test_split_gguf_manifest.py` (19 tests) — resolves source/tokenizer/
splits correctly; quantization/topology are manifest data, not constants
(single-split, differently-quantized manifest parses); digest stability;
rejects: split declaring only one of `shard_start`/`shard_end`, an empty
range, a missing required field, a duplicate split name, two splits sharing
one content hash, an inconsistent aggregate byte total, a shrunk split size,
a truncated SHA-256, a branch-name source/tokenizer revision, an unsupported
schema version, an empty `splits` array.
- `tests/test_split_gguf_provision.py` (12 tests) — covers exactly the four
scenarios the acceptance criteria name:
- **`/home` rejection** — a `/home/...` destination, `/home` itself, and a
nested `/home` subdirectory are refused by both `provision_split_artifact`
and `verify_provisioned_split_artifact`; a mounted-drive-style path is
accepted.
- **Interrupted download → resume** —
`test_an_interrupted_partial_download_resumes_from_its_exact_byte_offset`
plants a half-written `.partial` file, wraps the fetcher to record the
`resume_from_bytes` argument it's actually called with, and asserts
resume starts from the exact prior byte count (not 0) while an
unstarted split still starts from 0; a stale partial larger than the
manifest size is discarded and restarted from scratch.
- **Missing split** — a missing local source file raises
`SplitProvisionError` during provisioning; a split absent from an
already-provisioned destination is caught by
`verify_provisioned_split_artifact`.
- **Hash mismatch** — a same-size-but-wrong-content source file is rejected
(`SplitProvisionError`, and neither the corrupt final file nor its
`.partial` is left on disk); a destination file with the wrong hash (but
right size) is not trusted and is transparently replaced by a correct
re-fetch; a destination corrupted after a prior successful provisioning
run is caught by `verify_provisioned_split_artifact`.
- Also: idempotent no-op re-run over already-complete, correctly-hashed
splits (verified with the source files deleted, proving no re-fetch was
attempted).
## Acceptance criteria → evidence
1. **Exact manifest binding source artifact, tokenizer/revision, every split's
name/size/range-or-role/hash** — `SplitArtifactManifest`/`SourceArtifact`/
`TokenizerRef`/`SplitFile` in `manifest.py`; covered by
`test_split_gguf_manifest.py`.
2. **Resumable, hash-verifying provisioning targeting mounted-drive storage;
refuses `/home` and incomplete/mismatched splits** —
`provision_split_artifact`/`verify_provisioned_split_artifact`/
`reject_home_path` in `provision.py`; covered by
`test_split_gguf_provision.py` and the CLI smoke test below.
3. **Quantization/topology are manifest/recipe inputs, not hardcoded**
`quantization` is a free-form string; `SplitFile.shard_start`/`shard_end`
are optional per-split fields; no product module names a quant, node
count, or range constant. Verified by
`test_quantization_and_topology_are_manifest_data_not_constants` (a
single-split, differently-quantized manifest parses without any code
change).
4. **Deterministic model-download-free tests covering interrupted resume,
missing split, hash mismatch, `/home` rejection** — see the Tests section
above; all fixtures are in-memory or tiny `tmp_path` files, no network
access anywhere in the suite.
5. **Gates + this handoff** — below.
## Commands and results
```bash
python3 -m pytest -q tests/test_split_gguf_manifest.py tests/test_split_gguf_provision.py
```
```text
31 passed in 0.10s
```
```bash
python3 -m pytest -q tests/test_ralph_prd_schema.py
```
```text
108 passed
```
```bash
python3 -m compileall -q packages/node/meshnet_node/split_gguf tests scripts/provision_split_gguf.py
git diff --check
python3 scripts/ralph_prd_schema.py validate .scratch/distributed-gguf-runtime/prd.json
```
```text
(compileall exit 0; git diff --check exit 0)
OK: 55 stories validated.
```
CLI smoke test (manual, not part of the automated suite — exercises the real
network-capable code path against tiny local files instead of a real model):
```bash
python3 scripts/provision_split_gguf.py \
--manifest /tmp/dgr026-smoke/manifest.json --dest /tmp/dgr026-smoke/dest \
--source-dir /tmp/dgr026-smoke/source
# -> "provisioned 2 split(s) to /tmp/dgr026-smoke/dest"
python3 scripts/provision_split_gguf.py \
--manifest /tmp/dgr026-smoke/manifest.json --dest /home/popov/should-fail \
--source-dir /tmp/dgr026-smoke/source
# -> "error: refusing to provision split-GGUF artifacts under /home/popov/should-fail: ..."
# exit 1
```
The scratch directory (`/tmp/dgr026-smoke`) was removed after the smoke test;
nothing from it is committed or referenced by the test suite.
Default tests are model-download-free, API-credit-free, and GPU-free; no model
artifact was downloaded and nothing product-relevant was written under
`/home` (the CLI smoke test's `/home` path was rejected before any write).
## Changed files
- `packages/node/meshnet_node/split_gguf/__init__.py` (new)
- `packages/node/meshnet_node/split_gguf/manifest.py` (new)
- `packages/node/meshnet_node/split_gguf/provision.py` (new)
- `scripts/provision_split_gguf.py` (new)
- `tests/test_split_gguf_manifest.py` (new)
- `tests/test_split_gguf_provision.py` (new)
- `.scratch/distributed-gguf-runtime/prd.json` (`DGR-026.passes = true` +
`completionNotes`; also restored the top-level `sourceOfTruth`/
`qualityGates`/`metadataSchema`/`milestones`/`supersededStories`/
`branchName` fields — see Gotcha below)
- `.scratch/distributed-gguf-runtime/issues/026-provision-exact-split-gguf-artifacts-outside-home.md`
(regenerated via `scripts/ralph_prd_schema.py render`)
- `.scratch/distributed-gguf-runtime/evidence/DGR-026/README.md` (new, this file)
## Gotcha reproduced (pre-existing, documented pattern)
Before touching anything, `.scratch/distributed-gguf-runtime/prd.json`'s
top-level `sourceOfTruth`/`qualityGates`/`metadataSchema`/`milestones`/
`supersededStories`/`branchName` fields were already missing in the working
tree at session start (this is the fourth documented occurrence of the
round-trip-drop bug noted in DGR-018/019/020/025's evidence — `userStories`
itself was unaffected, only these top-level fields). Restored them from
`git show HEAD:.scratch/distributed-gguf-runtime/prd.json` before making any
DGR-026 edit; `scripts/ralph_prd_schema.py validate` reported `OK` both before
and after the restoration, confirming (again) that this validator does not
catch the drop on its own.
## Limitations
- `http_split_fetcher` (the real network-download path) is exercised only by
manual code review and the CLI's argument wiring, not by an automated test —
by design, since the default suite must stay network-free. Its Range-header
resume logic shares the same `provision_split_artifact` byte/hash
verification as the tested `local_directory_fetcher` path, so the
fetcher-specific risk surface is the HTTP interaction itself (server Range
support, redirects, auth), not the resume/verify contract.
- No real DeepSeek V4 Flash split-GGUF manifest exists yet — this story
defines the manifest schema and provisioning tooling; DGR-044/DGR-045
(below) are what will populate a real manifest against the pinned target.
- `python3 -m pytest -q` (unscoped full-repo sweep) was not run this session;
DGR-019/DGR-020/DGR-025's evidence already recorded several pre-existing,
unrelated failures in that sweep (missing optional `zstandard`/
`langchain_openai` dependencies, unrelated billing/dynamic-routing/cache
tests, and `tests/test_shard_runtime_harness.py`'s `grpc` import
requirement). This story's own targeted suites, `test_ralph_prd_schema.py`,
`compileall`, and `git diff --check` are all green as recorded above.
- Tracker routing, load balancing, billing, telemetry, and relay semantics are
untouched; this story adds a new, isolated package and does not modify any
existing runtime/identity module.
## Dependency handoff
- **DGR-044** (DeepSeek V4 Flash target contract): when pinning the real
target's split-GGUF artifact, express it as a
`meshnet_node.split_gguf.manifest.SplitArtifactManifest``source.sha256`
is the whole-model artifact digest DGR-003's `ArtifactIdentity.source_digest`
compares against, and each `SplitFile`'s `shard_start`/`shard_end` should
match the exact ranges the route's `ShardIdentity`s claim.
- **DGR-045** (V4 GGUF tensor/layer-ownership inventory): once layer ownership
per split is derived, populate each `SplitFile.role` and
`shard_start`/`shard_end` from that inventory rather than restating them —
this manifest is meant to bind, not redefine, DGR-045's ownership finding.
- Any future story that actually provisions a real split-GGUF artifact onto
mounted-drive storage should call `provision_split_artifact` with
`http_split_fetcher` (or `local_directory_fetcher` if mirroring from another
local/mounted path) and must call `verify_provisioned_split_artifact` before
trusting a directory a prior run may have left partially populated.

View File

@@ -1,7 +1,7 @@
# DGR-028 evidence — numbered llama.cpp patch-stack verification
**Status:** implementation complete; every gate below was re-executed in the continuation session (2026-07-18, detached provider worktree). Final independent P0/P1 controller review is pending.
**Authority:** live Gitea #12; local PRD is a secondary projection.
**Status:** implementation complete; independently re-verified in a fresh Ralph session (2026-07-22) against live source and the real cached upstream checkout, per `RALPH-CONTEXT.md`'s "inspect live source/tests rather than trusting legacy pass states" mandate. `prd.json`'s `DGR-028.passes` is now `true`.
**Authority:** local `prd.json` is authoritative; live Gitea #12 is a projection.
**Upstream pin:** `e920c523e3b8a0163fe498af5bf90df35ff51d25` (`llama.cpp`)
## Implemented
@@ -115,3 +115,77 @@ The superseded `0002-dense-llama-owned-range-loader.patch` is removed.
- This is patch-stack and model-free native fixture evidence, not real-model correctness, memory-fit, performance, or route certification.
- The range loader remains dense-Llama scoped and deliberately fails partial-range graph execution closed until the typed DGR-035 boundary adapters exist.
- DGR-029 may use the now-verifiable exact patch stack for the deterministic native CPU build lane. DGR-034 owns real dense-Llama range behavior and memory evidence.
## Independent re-verification (2026-07-22, fresh Ralph session)
The prior evidence above was carried over from an earlier session that recorded
a focused native CMake/CTest build (`test-meshnet-range-ownership`) it could
not independently reverify because `build/` was not present at commit time
(see the DGR-028 commit message, `7da90ef`). This session re-ran the
Python/Git-level contract live and end to end, and is explicit about what
could and could not be re-checked:
```text
cd packages/node/native/llama/patches && sha256sum -c SHA256SUMS
# all five patches: OK
python3 scripts/llama_cpp_dependency.py inspect
# exact commit e920c523e3b8a0163fe498af5bf90df35ff51d25, tree 6c91a114...,
# MIT license, five-patch series, no model downloads
python3 scripts/llama_cpp_dependency.py verify --workspace build/llama.cpp
# reused verified offline cache; apply -> assumption/boundary checks ->
# reverse succeeded; source left at pristine detached HEAD
python3 scripts/llama_cpp_dependency.py apply --source-dir build/llama.cpp/source
# git -C build/llama.cpp/source diff --cached --name-only ==
# CMakeLists.txt, cmake/meshnet-patch-stack.cmake, include/llama.h,
# src/llama-model.cpp, src/llama-model.h, src/models/llama.cpp,
# tests/CMakeLists.txt, tests/test-meshnet-range-ownership.cpp
# git -C build/llama.cpp/source write-tree ==
# c0045714735ae5ee7b7334a480d8ac04e03e1b18 (matches UPSTREAM_LOCK.json patched_tree)
python3 scripts/llama_cpp_dependency.py reverse --source-dir build/llama.cpp/source
# git -C build/llama.cpp/source status --short --branch --untracked-files=all
# -> ## HEAD (no branch)
# git -C build/llama.cpp/source rev-parse HEAD HEAD^{tree}
# -> e920c523e3b8a0163fe498af5bf90df35ff51d25 / 6c91a11407a3a3fb160f5dac705f9c59718f54f1
python3 -m pytest -q tests/test_llama_cpp_dependency.py tests/test_ralph_prd_schema.py
# 115 passed
python3 -m compileall -q packages tests
# exit 0
git diff --check
# exit 0
```
`cmake` is not installed in this environment (`which cmake` fails), so the
native CMake/CTest build claim from the prior session (`test-meshnet-range-ownership`
1/1 Passed) could **not** be independently re-executed here; it is neither
re-confirmed nor retracted, just carried forward from `7da90ef` without a new
build-verified claim in this session. Everything at the Python/Git contract
level — patch digests, assumption-blob enforcement, apply/reverse against the
real cached upstream checkout, patched-tree identity, and pristine-restore —
was independently re-verified against live source in this fresh session.
## prd.json repair (unrelated to DGR-028 itself)
Before editing `DGR-028.passes`, `prd.json` was found with its top-level
`sourceOfTruth`/`qualityGates`/`metadataSchema`/`milestones`/`supersededStories`
fields silently dropped again (`branchName` was also missing but had already
been restored by a prior in-flight edit) — the same ralph-tui round-trip bug
documented for DGR-019/DGR-020. Unlike those occurrences, `userStories` in the
working tree was *not* unchanged: it already carried legitimate uncommitted
`passes: true`/`completionNotes` updates for DGR-019, DGR-020, DGR-024, and
DGR-026 from other stories' sessions. The missing top-level sections were
restored from `git show HEAD:.scratch/distributed-gguf-runtime/prd.json`
while preserving the current `userStories` array verbatim, then
`DGR-028.passes` was set `true` with `completionNotes` added, and
`.scratch/distributed-gguf-runtime/issues/028-implement-numbered-patch-stack-apply-and-verification.md`
was regenerated via `scripts/ralph_prd_schema.py render` (which only prints;
the caller must redirect it into the issue file — it does not write in
place). `python3 scripts/ralph_prd_schema.py validate` and
`python3 -m pytest -q tests/test_ralph_prd_schema.py` (108 passed) both pass
against the repaired file.

View File

@@ -0,0 +1,198 @@
# DGR-029 evidence — native CMake skeleton and deterministic CPU lane
**Status:** implementation complete, live-verified in this session (2026-07-22).
**Authority:** local `prd.json` is authoritative; Gitea is a projection.
**Upstream pin:** `e920c523e3b8a0163fe498af5bf90df35ff51d25` (`llama.cpp`, from `UPSTREAM_LOCK.json`).
## What existed before this session
`scripts/llama_cpp_dependency.py` already had `build()`, `smoke()`, and `reproduce()`
functions and `UPSTREAM_LOCK.json` already had a `build` section (both landed as part
of DGR-028's commit `7da90ef`), but:
- No test in `tests/test_llama_cpp_dependency.py` ever exercised `build`/`smoke`/`reproduce`
— only `fetch`/`apply`/`reverse`/`inspect` had coverage.
- `cmake` was not installed in the DGR-028 session's environment ("`cmake` is not installed
in this environment," per its evidence), so this lane was never actually run end to end;
DGR-028's own live-verified CTest evidence used a one-off manual `cmake`/`ctest` invocation
with `-DLLAMA_BUILD_TESTS=ON` outside this driver, against a build directory that no longer
exists in this session.
- The locked `configure_flags` did not force CPU-only backend options (`GGML_CUDA`/`GGML_HIP`/
`GGML_VULKAN`/`GGML_METAL`/`GGML_BLAS`) — relying on upstream per-platform defaults (which
happen to default OFF on Linux, but are undocumented and platform-dependent), and
`LLAMA_BUILD_TESTS` was `OFF`, so no CTest lane existed at all — only a `--help` smoke check
against the unrelated stock `llama-gguf-hash` tool.
This session found and closed those three gaps rather than re-implementing from scratch.
## What changed in this session
- `packages/node/native/llama/UPSTREAM_LOCK.json`: the `build` section's `configure_flags` now
explicitly force `-DGGML_CPU=ON` and `-DGGML_CUDA=OFF -DGGML_HIP=OFF -DGGML_VULKAN=OFF
-DGGML_METAL=OFF -DGGML_BLAS=OFF`, so the CPU lane can never silently gain a GPU/BLAS backend
from a build machine's ambient toolchain. `-DLLAMA_BUILD_TESTS` flipped `OFF``ON` (required
so the `test-meshnet-range-ownership` CTest target exists at all — configuring
`LLAMA_BUILD_TESTS=ON` does not itself build every upstream test, only registers them; the
`native_targets` list still controls what actually gets compiled). Added `native_targets` entry
`test-meshnet-range-ownership` and a new `ctest_regex` field
(`"^test-meshnet-range-ownership$"`) naming the exact deterministic model-free fixture CTest
added by DGR-028's patch 0005.
- `scripts/llama_cpp_dependency.py`: factored `_cmake()`'s override/PATH/venv-sibling resolution
into a shared `_toolchain_binary(name, env_var)` and added `_ctest()` using the same resolution
(`CTEST` env override, PATH, or the sibling of the resolved `cmake` binary's environment). Added
`ctest_lane(build_dir)`, which loads the lock's `ctest_regex` and runs
`ctest --test-dir <build_dir> -R <regex> --output-on-failure`, printing output on success and
raising `DependencyError` (via the existing `_run` wrapper, which already attaches
stdout/stderr detail) on failure. Added a `ctest` CLI subcommand (`--build-dir`). Wired
`reproduce()` to run `fetch → apply → build → smoke → ctest_lane → reverse`, so a full
`reproduce` run leaves the cached upstream checkout pristine afterward (previously `reproduce()`
left the source permanently patched, which would have broken every *subsequent* `reproduce`/
`fetch` call's `require_clean=True` cleanliness check).
- `tests/test_llama_cpp_dependency.py`: added
`test_build_config_locks_an_explicit_cpu_only_deterministic_lane` (offline; asserts the lock's
`configure_flags` are CPU-only and that `ctest_regex`/`native_targets`/`smoke_binary` all agree
with each other and with `patched_paths`) and
`test_ctest_lane_raises_an_actionable_error_for_a_failing_named_test` (gated on `cmake`
availability via a `requires_cmake` marker mirroring `test_native_identity_emission.py`'s
`requires_cc` pattern; builds a tiny synthetic two-test CMake project — not the full llama.cpp
tree, so it runs in about a second — and proves `ctest_lane()` both passes silently on a passing
named test and raises `DependencyError` naming the failing test on a failing one).
## Toolchain note
Neither the ambient system Python nor `.venv-rocm` has `cmake`. This session installed `cmake`
(the PyPI wheel that bundles prebuilt binaries, version 4.4.0) into the pre-existing repo-root
`.venv` used by earlier DGR-024/DGR-026 sessions (`.venv/bin/cmake`, `.venv/bin/ctest`), which was
already on-disk from a prior session but had never had `cmake` installed into it. All commands
below were run with that `.venv/bin` prepended to `PATH`. This is the same "disposable venv for a
lightweight optional dependency" pattern DGR-024 used for `grpc`.
## Verification — full live `reproduce` run (fresh out-of-tree build)
```text
$ rm -rf build/llama.cpp/build
$ python3 scripts/llama_cpp_dependency.py reproduce
reused verified offline cache: .../build/llama.cpp/source
usage: .../build/llama.cpp/build/bin/llama-gguf-hash [options] GGUF_IN
Hash a GGUF file
options: ...
Test project .../build/llama.cpp/build
Start 27: test-meshnet-range-ownership
1/1 Test #27: test-meshnet-range-ownership ..... Passed 0.01 sec
100% tests passed out of 1
$ echo $?
0
```
Wall-clock: `real 2m16.227s` (fresh CPU compile of ggml/llama-common/llama plus the
`llama-gguf-hash` example and the `test-meshnet-range-ownership` fixture; no full `llama.cpp`
test suite or example set is built — only the two targets named in `native_targets`).
Post-run checks:
```text
$ ls build/llama.cpp/build/bin/*.so*
libggml-base.so libggml-base.so.0 libggml-base.so.0.16.0
libggml-cpu.so libggml-cpu.so.0 libggml-cpu.so.0.16.0
libggml.so libggml.so.0 libggml.so.0.16.0
libllama-common.so ... libllama.so ...
# no libggml-cuda*, libggml-hip*, libggml-vulkan*, or libggml-metal* — CPU-only backend built
$ grep -E '^GGML_(CPU|CUDA|HIP|VULKAN|METAL|BLAS):' build/llama.cpp/build/CMakeCache.txt
GGML_BLAS:BOOL=OFF
GGML_CPU:BOOL=ON
GGML_CUDA:BOOL=OFF
GGML_HIP:BOOL=OFF
GGML_METAL:BOOL=OFF
GGML_VULKAN:BOOL=OFF
$ cat build/llama.cpp/build/meshnet-build-metadata.json
{
"model_downloads": false,
"semantic_certification": false,
...
}
$ git -C build/llama.cpp/source status --short --branch --untracked-files=all
## HEAD (no branch)
$ git -C build/llama.cpp/source rev-parse HEAD HEAD^{tree}
e920c523e3b8a0163fe498af5bf90df35ff51d25
6c91a11407a3a3fb160f5dac705f9c59718f54f1
```
`reproduce()`'s final `reverse(source)` call restored the exact locked pin/tree — the cached
workspace is reusable for a subsequent `fetch`/`reproduce` without re-cloning.
## Verification — actionable toolchain failure (missing `cmake`)
```text
$ python3 scripts/llama_cpp_dependency.py apply --source-dir build/llama.cpp/source
$ env -i HOME="$HOME" PATH=/usr/bin:/bin python3 scripts/llama_cpp_dependency.py build \
--source-dir build/llama.cpp/source --build-dir /tmp/no-cmake-build
DGR-027 dependency error: cmake is unavailable; set CMAKE or activate the project toolchain
$ echo $?
2
$ python3 scripts/llama_cpp_dependency.py reverse --source-dir build/llama.cpp/source # restore pristine
```
## Verification — targeted test suites and shared gates
| Command | Result |
| --- | --- |
| `python3 -m pytest -q tests/test_llama_cpp_dependency.py` | `9 passed in 1.34s` (7 pre-existing + 2 new; the new gated CTest-wiring test ran for real, not skipped, since `cmake` is present in `.venv`) |
| `python3 -m pytest -q tests/test_llama_cpp_dependency.py tests/test_ralph_prd_schema.py` | `117 passed` |
| `python3 -m compileall -q packages tests` | exit 0 |
| `git diff --check` | exit 0 (no output) |
## Ensuring build success does not advertise capability
- The locked `configure_flags` disable every accelerator backend explicitly
(`GGML_CUDA/HIP/VULKAN/METAL/BLAS=OFF`) rather than relying on per-platform defaults, so a
successful configure/build can only ever mean "the CPU reference backend compiled" — never an
accelerator claim, and never dependent on whether the build host happens to have a GPU SDK
installed.
- `meshnet-build-metadata.json` (written by `build()`) records `model_downloads: false` and
`semantic_certification: false` alongside the exact commit/patch/flag identities — the artifact
itself, not just prose, states this build proves toolchain compilation only.
- The two targets actually compiled are `llama-gguf-hash` (a stock upstream file-hashing utility;
no inference) and `test-meshnet-range-ownership` (a model-free fixture that writes a tiny
synthetic GGUF and asserts range-ownership bookkeeping — no real model, no generation, no
numerical/backend correctness claim). Neither exercises inference, MoE, attention, or any
DeepSeek V4 semantic path.
## Changed files
- `packages/node/native/llama/UPSTREAM_LOCK.json`
- `scripts/llama_cpp_dependency.py`
- `tests/test_llama_cpp_dependency.py`
- `.scratch/distributed-gguf-runtime/prd.json`
- `.scratch/distributed-gguf-runtime/issues/029-create-the-native-cmake-skeleton-and-deterministic-cpu-lane.md`
- `.scratch/distributed-gguf-runtime/evidence/DGR-029/README.md` (new)
## Limitations
- This is a toolchain/compile-and-link gate plus one model-free ownership-bookkeeping fixture —
it proves the CPU lane builds and the DGR-027/DGR-028 patch stack functions structurally on
CPU. It proves nothing about real-model correctness, memory-fit, performance, or any
backend/model/recipe certification; `stock_glm_limitations` in `UPSTREAM_LOCK.json` and DGR-028's
own limitations continue to apply unchanged.
- `cmake`/`ctest` are not installed system-wide or in `.venv-rocm` in this environment; they were
installed only into the pre-existing repo-root `.venv` for this session's verification (and for
the new gated pytest test, which is skipped in any environment lacking `cmake`). A future session
without that `.venv` (or without re-installing `cmake` into it) will see the same "cmake is
unavailable" actionable failure demonstrated above, not a silent pass.
- Only the two named targets are compiled (`llama-gguf-hash`, `test-meshnet-range-ownership`); a
broad `cmake --build ... --target test` / full upstream test suite is out of scope here, exactly
as DGR-028 recorded ("not presented as a full-suite gate").
- CUDA/ROCm/Vulkan/Metal compile lanes remain unimplemented; this story only establishes the CPU
lane "before accelerator matrix work," per its objective. Those lanes are separate future work.
## Dependency handoff
DGR-030 and DGR-034 (this story's declared blockers) may rely on: an out-of-tree, CPU-only,
explicit-backend-flag native build (`scripts/llama_cpp_dependency.py build`/`reproduce`) that
compiles the exact DGR-027/DGR-028 patched pin and runs a real CTest lane
(`test-meshnet-range-ownership`) proving the patch stack's range-ownership bookkeeping compiles
and passes on CPU. Any accelerator (CUDA/ROCm/Vulkan/Metal) lane, any real-model load, and any
backend/model/recipe capability certification remain unimplemented and must not be assumed from
this story's green build alone.

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@@ -0,0 +1,275 @@
# DGR-030 evidence — accelerator build presets and native CI/build matrix
**Status:** implementation complete, live-verified in this session (2026-07-23).
**Authority:** local `prd.json` is authoritative; Gitea is a projection.
**Upstream pin:** `e920c523e3b8a0163fe498af5bf90df35ff51d25` (`llama.cpp`, unchanged from DGR-027..029).
## What existed before this session
DGR-029 locked exactly one build lane — the deterministic CPU-only lane — in
`UPSTREAM_LOCK.json`'s `build` section, plus `scripts/llama_cpp_dependency.py`'s
`build()`/`smoke()`/`ctest_lane()`/`reproduce()`. There was no accelerator
preset, no SDK-availability probing, and no matrix runner: only the one CPU
lane existed, and there was no mechanism that could ever advertise a GPU
backend as compiled or capable.
## What changed in this session
- `packages/node/native/llama/UPSTREAM_LOCK.json`: added a new top-level
`accelerator_presets` object with one entry each for `cuda` (`GGML_CUDA`),
`rocm` (`GGML_HIP`), `vulkan` (`GGML_VULKAN`), and `metal` (`GGML_METAL`).
Each entry names only the one backend flag it flips and an `sdk_probe`
(a binary to resolve on `PATH`, an optional env-var override, and — for
Metal — a `platform_only: "darwin"` gate). **The existing `build` section
— the deterministic CPU default DGR-029 locked — is untouched.**
- `scripts/llama_cpp_dependency.py`:
- `_load_lock()` now calls a new `_verify_accelerator_presets()`, which
fail-closed-rejects any preset whose named backend flag is not `OFF` in
the CPU default's `configure_flags` — structurally guaranteeing a preset
can only ever *add* one backend on top of the untouched CPU baseline,
never redefine it.
- `accelerator_configure_flags(lock, name)` returns a **new** flag list —
the CPU default's own `configure_flags` list is never mutated — with
exactly the named preset's backend flag flipped `ON` and every other flag
(including `GGML_CPU=ON`, the fallback ops backend GPU builds still need)
left exactly as the CPU default declares it.
- `_sdk_probe(probe)` / `accelerator_status(name, lock)` resolve a lane's
SDK without ever raising: an absent SDK is returned as
`{"available": false, "reason": "<binary> is unavailable on PATH"}` (or
a platform-mismatch reason for Metal), so "unavailable" is data a caller
reports, never an exception a caller has to remember to catch.
- `accelerator_build(source, name, build_dir)` compiles one lane into its
own out-of-tree `build_dir` (an isolated directory, never DGR-029's CPU
`build_dir`), using the same patched-source verification and
`native_targets` as the CPU lane, then writes a
`meshnet-build-metadata.json` recording the exact `commit`/`commit_tree`,
per-patch SHA-256 digests, the lane's overridden `configure_flags`, the
resolved `cmake`/`cxx`/SDK-binary versions/paths, and explicit
`model_downloads: false`, `hardware_execution: false`,
`hardware_certified: false`, `semantic_certification: false` fields plus
a `note` stating the lane is registered-dark until a real-hardware
certification record exists. It **never** calls `smoke()`/`ctest_lane()`
— running a binary linked against a real accelerator backend would touch
real hardware, which this story deliberately keeps out of scope.
- Added `accelerator-status --name <lane>` and
`accelerator-build --name <lane> --source-dir --build-dir` CLI
subcommands, mirroring the existing `ctest`/`build` subcommand pattern.
- `scripts/native_accelerator_matrix.py` (new): the native CI/build matrix.
`run_matrix(workspace)` fetches and applies the locked pin/patch stack once,
runs the unchanged CPU lane (build → smoke → ctest, exactly DGR-029's
contract), then for each `accelerator_presets` entry either reports
`{"status": "skipped", "reason": ...}` (SDK absent) or compiles it via
`accelerator_build` and reports `{"status": "built", ...}` — never silently
treating a skip as a pass. Any `DependencyError` from a lane (CPU or
accelerator) is caught per-lane and reported as `{"status": "failed", ...}`
without aborting the remaining lanes or skipping cleanup. `reverse()` always
runs in a `finally`, restoring the exact pristine pin/tree regardless of
lane outcomes. The CLI prints a JSON report and exits non-zero only if any
lane actually `failed` (a `skipped` lane never fails the run).
- `tests/test_llama_cpp_dependency.py`: added 7 new tests —
`test_accelerator_presets_isolate_one_backend_without_touching_the_cpu_default`
(every preset flips exactly its own flag and the CPU default list is never
mutated), `test_accelerator_configure_flags_rejects_an_unknown_lane`,
`test_accelerator_status_reports_unavailable_sdks_without_raising` (asserts
the exact reason string for cuda/rocm/vulkan/metal absence),
`test_accelerator_status_honors_an_explicit_sdk_override`,
`test_accelerator_status_rejects_an_unknown_lane`,
`test_accelerator_build_refuses_to_compile_an_unavailable_lane` (asserts no
build directory is created), and a `requires_cmake`-gated
`test_accelerator_build_compiles_the_available_lane_with_isolated_evidence`,
which builds a tiny synthetic CMake project (not the full llama.cpp tree) to
prove `accelerator_build`'s "SDK present" path really configures with the
overridden flag, compiles, and writes the registered-dark metadata — in
about a second, without a real GPU SDK.
- `tests/test_native_accelerator_matrix.py` (new): 3 offline tests exercising
`run_matrix`'s orchestration with `llama_cpp_dependency`'s
fetch/apply/reverse/build/smoke/ctest_lane/accelerator_status/
accelerator_build stubbed out — proving unavailable SDKs are reported
`skipped` (never a false pass), an available accelerator lane is compiled
without ever calling `smoke`/`ctest_lane`, and a lane failure is reported
per-lane without aborting sibling lanes or skipping the `reverse()` cleanup.
## Toolchain note
As in DGR-029, neither the ambient system Python nor `.venv-rocm` has `cmake`;
this session's `.venv` also had no `cmake` (a prior session's install did not
persist). This session ran `.venv/bin/python3 -m ensurepip --upgrade` (no
`pip` was present in `.venv` either) and then
`.venv/bin/python3 -m pip install cmake`, landing the same PyPI wheel
(`cmake==4.4.0`) DGR-029 used, at `.venv/bin/cmake` / `.venv/bin/ctest`. All
commands below were run with that `.venv/bin` prepended to `PATH`. No CUDA,
ROCm, or Vulkan SDK (`nvcc`, `hipcc`, `glslc`) is installed in this
environment, and the host platform is Linux, not `darwin` — so all four
accelerator lanes are genuinely `skipped` in this environment's own live run
below, which is real evidence for AC2 ("unavailable SDKs ... explicit
unavailable/skipped lanes"), not a simulated one.
## Verification — live native CI/build matrix run
```text
$ rm -rf build/llama.cpp/build build/llama.cpp/build-cuda build/llama.cpp/build-rocm build/llama.cpp/build-vulkan build/llama.cpp/build-metal
$ python3 scripts/native_accelerator_matrix.py
reused verified offline cache: .../build/llama.cpp/source
usage: .../build/llama.cpp/build/bin/llama-gguf-hash [options] GGUF_IN
...
Test project .../build/llama.cpp/build
Start 27: test-meshnet-range-ownership
1/1 Test #27: test-meshnet-range-ownership ..... Passed 0.01 sec
100% tests passed out of 1
{
"failed_lanes": [],
"hardware_certified": false,
"lanes": [
{
"build_dir": ".../build/llama.cpp/build",
"lane": "cpu",
"metadata": {
"cmake": "cmake version 4.4.0",
"commit": "e920c523e3b8a0163fe498af5bf90df35ff51d25",
"commit_tree": "6c91a11407a3a3fb160f5dac705f9c59718f54f1",
"configure_flags": [
"-DCMAKE_BUILD_TYPE=Release", "-DLLAMA_BUILD_TESTS=ON",
"-DLLAMA_BUILD_EXAMPLES=ON", "-DLLAMA_BUILD_SERVER=OFF",
"-DLLAMA_BUILD_TOOLS=OFF", "-DLLAMA_BUILD_APP=OFF", "-DLLAMA_CURL=OFF",
"-DGGML_CPU=ON", "-DGGML_BLAS=OFF", "-DGGML_CUDA=OFF",
"-DGGML_HIP=OFF", "-DGGML_VULKAN=OFF", "-DGGML_METAL=OFF"
],
"cxx": "c++ (GCC) 15.2.1 20260123 (Red Hat 15.2.1-7)",
"model_downloads": false,
"patches": { "...": "... (5 entries, unchanged sha256 digests from DGR-029)" },
"semantic_certification": false
},
"status": "built"
},
{"lane": "cuda", "reason": "nvcc is unavailable on PATH", "status": "skipped"},
{"lane": "rocm", "reason": "hipcc is unavailable on PATH", "status": "skipped"},
{"lane": "vulkan", "reason": "glslc is unavailable on PATH", "status": "skipped"},
{"lane": "metal", "reason": "platform 'linux' is not 'darwin'", "status": "skipped"}
],
"note": "A `built` lane means it compiled with the exact recorded compiler/SDK/upstream-pin/patch-stack/build-option evidence — it never means an accelerator device was exercised. Every backend/model/recipe lane stays registered-dark until a separate real-hardware certification record exists."
}
$ echo $?
0
```
Wall-clock: `real 2m19.797s` — matches DGR-029's ~2m16s CPU-lane compile; no
accelerator lane actually compiled in this environment (all four SDKs are
genuinely absent), so this run's added cost over DGR-029's own CPU-only
`reproduce()` is just the four fast SDK probes.
Post-run checks (source checkout left pristine by the matrix's `reverse()`):
```text
$ git -C build/llama.cpp/source status --short --branch --untracked-files=all
## HEAD (no branch)
$ git -C build/llama.cpp/source rev-parse HEAD HEAD^{tree}
e920c523e3b8a0163fe498af5bf90df35ff51d25
6c91a11407a3a3fb160f5dac705f9c59718f54f1
$ ls build/llama.cpp/ | grep build
build
```
Only the CPU lane's `build/` directory was created — no `build-cuda`,
`build-rocm`, `build-vulkan`, or `build-metal` directory exists, because every
accelerator lane was genuinely skipped rather than attempted.
## Verification — targeted test suites and shared gates
| Command | Result |
| --- | --- |
| `python3 -m pytest -q tests/test_llama_cpp_dependency.py tests/test_native_accelerator_matrix.py` | `19 passed` (9 pre-existing + 7 new accelerator-lane tests in `test_llama_cpp_dependency.py`, 3 new in `test_native_accelerator_matrix.py`; the `requires_cmake`-gated compile test ran for real, not skipped) |
| `python3 -m compileall -q packages tests` | exit 0 |
| `git diff --check -- packages/node/native/llama/UPSTREAM_LOCK.json scripts/llama_cpp_dependency.py tests/test_llama_cpp_dependency.py scripts/native_accelerator_matrix.py tests/test_native_accelerator_matrix.py` | exit 0 |
| `python3 scripts/ralph_prd_schema.py validate .scratch/distributed-gguf-runtime/prd.json` | `OK: 55 stories validated.` |
`git diff --check` against the full working tree separately reports one
pre-existing trailing-whitespace line in `.ralph-tui-run.log`, which was
already modified before this session started (see the session's initial
`git status`) and is unrelated to this story's scope; it is excluded above by
naming this story's own changed files explicitly.
`python3 -m pytest -q tests/test_ralph_prd_schema.py` reports `55 failed, 53
passed` in this session (all `test_render_issue_markdown_matches_committed_file`
drift between `prd.json` and committed issue Markdown for other stories,
e.g. `DGR-053`..`DGR-071`). `git stash`-ing this session's changes and rerunning
reproduces `56 failed, 52 passed` identically — the same 56 failures minus the
one this session's own `DGR-030` regeneration fixed, confirming the remaining
55 predate this story and are out of scope to fix here. This session did
regenerate `.scratch/distributed-gguf-runtime/issues/030-add-accelerator-
build-presets-and-native-ci-matrix.md` via
`python3 scripts/ralph_prd_schema.py render ... DGR-030` so DGR-030's own
generated issue Markdown matches `prd.json` byte-for-byte (confirmed by the
`test_render_issue_markdown_matches_committed_file[DGR-030]` case no longer
appearing in the failure list).
## Ensuring build success does not advertise capability
- Every accelerator lane's `meshnet-build-metadata.json` explicitly records
`hardware_execution: false`, `hardware_certified: false`, and
`semantic_certification: false`, plus a `note` stating the lane is
registered-dark until a separate real-hardware certification record exists
— the same "artifact states this, not just prose" pattern DGR-029 used for
the CPU lane's `model_downloads`/`semantic_certification` fields.
- `accelerator_build` never runs `smoke()` or `ctest_lane()`: it only
configures and compiles the exact `native_targets` DGR-029 already locked
(`llama-gguf-hash`, `test-meshnet-range-ownership`) — no binary linked
against a real accelerator backend is ever executed by this story's code.
- `_verify_accelerator_presets()` structurally refuses any preset whose
backend flag is not `OFF` in the locked CPU default, so a preset can never
be defined in a way that redefines (rather than adds one backend on top of)
DGR-029's deterministic CPU lane.
- The matrix's top-level report always carries `"hardware_certified": false`
regardless of how many lanes built, and its `note` field states this
explicitly for any consumer reading only the report, not the per-lane
metadata.
## Limitations
- This story proves accelerator lanes *compile* with correct, isolated
flags and preserves exact evidence when a lane's SDK is present. It proves
nothing about numerical correctness, performance, or any backend/model/
recipe capability on real accelerator hardware — that is explicitly
deferred to DGR-041 (capability registration), DGR-053 (real 2-4 stage
certification), and DGR-067 (capability matrix certification), all of which
remain unimplemented.
- No CUDA, ROCm, or Vulkan SDK, and no macOS/Metal toolchain, is available in
this session's environment, so the "compile an available accelerator lane"
path is proven end-to-end only via the `requires_cmake`-gated synthetic-
project unit test and the offline matrix-orchestration tests, not via a
live compile of the real llama.cpp tree under `GGML_CUDA=ON` (etc.). A
future session with a real SDK installed will exercise
`accelerator_build`'s real-lane path against the genuine llama.cpp source
for the first time; nothing in this story's design assumes that hasn't
happened yet.
- The accelerator lanes reuse the CPU lane's exact `native_targets`
(`llama-gguf-hash`, `test-meshnet-range-ownership`), so a passing
accelerator compile also proves the DGR-027/DGR-028 patch stack's
range-ownership code compiles under that backend flag combination — but,
per the point above, only structurally; it says nothing about GPU
execution correctness.
- `cmake`/`ctest` remain absent system-wide in this environment; this session
reinstalled them into `.venv` exactly as DGR-029 did, and that install does
not appear to persist across sessions (this session found `.venv` without
`cmake` despite DGR-029's evidence recording its earlier install). A future
session without a `cmake`-equipped `.venv` will see the same actionable
"cmake is unavailable" failure DGR-029 demonstrated, not a silent pass, and
the new `requires_cmake`-gated tests will be skipped rather than failing.
- `git diff --check` and `tests/test_ralph_prd_schema.py` both carry
pre-existing, out-of-scope failures unrelated to this story (see the gates
table above); this story's own changed files pass both checks cleanly.
## Dependency handoff
DGR-053 (real 2-4 stage certification), DGR-067 (capability matrix
certification), and DGR-068 (packaged releases) may rely on: four isolated,
out-of-tree accelerator build presets (`cuda`/`rocm`/`vulkan`/`metal`) in
`UPSTREAM_LOCK.json`'s `accelerator_presets`, each toggling exactly one
backend flag on top of DGR-029's unchanged CPU default; a native CI/build
matrix (`scripts/native_accelerator_matrix.py`) that compiles every
SDK-available lane with full compiler/SDK/upstream-pin/patch-stack/build-
option evidence and reports SDK-unavailable lanes as explicit `skipped`
lanes, never a false pass; and a compile-only contract (no lane here ever
runs a binary against real accelerator hardware). Real-hardware execution,
numerical correctness, performance measurement, and backend/model/recipe
certification for any accelerator remain entirely unimplemented and must not
be assumed from any lane's green compile.

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@@ -0,0 +1,237 @@
# DGR-031 evidence — the project-owned `ShardEngine` interface
**Completed:** 2026-07-23
**Branch:** `ralph/distributed-gguf-runtime`
**Authority:** `.scratch/distributed-gguf-runtime/prd.json`
**Dependencies:** DGR-021 (`evidence/DGR-021/README.md` — versioned activation
envelope, `NamedTensor`/`ActivationEnvelope` as the project-owned wire-envelope
layer), DGR-025 (`evidence/DGR-025/README.md` — exact artifact/runtime recipe
identity; both read before changing code).
## Objective
Isolate worker/protocol code from llama.cpp internals behind a stable
project-owned engine contract, so a fake fixture engine (DGR-032) and a real
llama.cpp-backed engine (DGR-037) are interchangeable subclasses of one
interface.
## What was found live before changing code
Per RALPH-CONTEXT, legacy pass states were not trusted; the live surrounding
contracts were read and exercised before designing this one:
- `packages/node/meshnet_node/shard_lifecycle.py` (DGR-022) already defines a
versioned RPC/session lifecycle contract — `StructuredStatus`, `StatusCode`,
`CacheExpectation`, `CacheResult`, `LifecycleState`, `SessionLifecycle` — but
it is explicitly the *wire RPC* contract "consumed by a future generated
gRPC binding," not an execution-engine boundary.
- `packages/node/meshnet_node/native_backend.py` (DGR-025) is the identity
boundary for the native GGUF artifact — it derives and attests a
`ShardIdentity`, but does not define an execution contract either.
- `packages/node/meshnet_node/protocol.py` (DGR-021) defines a project-owned
`NamedTensor`/`ActivationEnvelope` for activation traffic *between shard
hops over the network*, distinct from the generated-protobuf wire ABI in
`native_protocol`.
- `packages/node/meshnet_node/shard_runtime_server.py` (DGR-024) is today a
real gRPC servicer that proves wire fidelity by checksumming and echoing
bytes — it has no execution engine behind it yet; that seam is exactly
where `ShardEngine` plugs in for DGR-037.
- `packages/node/meshnet_node/architecture_boundary.py` established the
precedent this story follows for tail output: `TailOutput.sampled_token()`
never exposes raw logits, only a sampled token id.
- No `ShardEngine` (or `shard_engine`) symbol existed anywhere in the
repository prior to this story (confirmed by
`grep -rn -i "shardengine\|shard_engine"` across `.py`/`.md`, which returned
only planning-document prose naming it as future work).
Live verification of the pre-existing dependency contracts before adding new
code: `PYTHONPATH=packages/node:packages/tracker .venv/bin/python3 -m pytest -q
tests/test_shard_lifecycle.py tests/test_activation_envelope.py
tests/test_architecture_boundary.py tests/test_native_shard_protocol.py
tests/test_shard_runtime_harness.py``95 passed, 3 skipped`.
## What was added (this story's change)
### `packages/node/meshnet_node/shard_engine.py` (new)
The `ShardEngine` boundary: an `abc.ABC` with eight abstract operations —
`load`, `capabilities`, `prefill`, `decode`, `cancel`, `release`, `health`,
`metrics` — matching the acceptance criterion's list exactly (`prefill`/
`decode` share one operation family; their shared result type is what the
criterion calls the "boundary/logits result"). Every request/result type is a
frozen dataclass built from plain `str`/`int`/`bytes`/`Mapping` values:
- `EngineTensor` / `BoundaryBundle` — the project-owned named-tensor
activation crossing a shard boundary (head/middle/tail-in). Deliberately a
*new*, minimal type distinct from both `native_protocol.pb.TensorBundle`
(generated-protobuf ABI) and `protocol.NamedTensor`/`ActivationEnvelope`
(wire-framing/fragmentation concerns irrelevant to model execution) — a
fourth, execution-facing layer underneath the three that already existed.
- `TokenOutput` — a tail shard's sampled result: a token id (+ optional
decoded text), never a raw logits tensor.
- `MtpHook` — reserved multi-token-prediction hook; its own `__post_init__`
raises if constructed with `enabled=True`, so the type exists (fixing its
field shape for DGR-051/DGR-066) without any code path being able to turn it
on before DGR-066, matching RALPH-CONTEXT's "MTP is reserved and off for
alpha."
- `ArchitectureAuxStateHook` — reserved per-shard architecture auxiliary state
(V4 CSA/HCA/SWA/indexer/compressor and similar); has no wire encoding and is
never embedded in a `BoundaryBundle`, matching RALPH-CONTEXT's "remain local
... never carried over the WAN seam."
- `LoadRequest`/`LoadResult`, `EngineCapabilities`, `PrefillRequest`/
`DecodeRequest` (exactly one of `token_ids`/`token_id` (head) or `input`
(middle/tail) required — enforced in `__post_init__`), `StepResult` (a
successful result must carry an output; `cache_result` reuses
`shard_lifecycle.CacheResult`), `HealthResult`, `MetricsResult`.
- Status vocabulary is reused, not reinvented: `StructuredStatus`/
`StatusCode`/`CacheExpectation`/`CacheResult` are imported from
`shard_lifecycle` (already project-owned and version-stable) rather than a
parallel enum living alongside it.
- The module imports nothing from `native_protocol`, `grpc`, or `ctypes`
verified structurally, not just by convention (see tests below).
### `tests/shard_engine_contract.py` (new)
A reusable, non-`test_`-prefixed helper: `assert_shard_engine_contract(make_engine)`
takes a zero-arg engine factory and runs nine lifecycle checks — health before
load, load→capabilities range/MTP-off, prefill→decode determinism (byte-identical
output replayed on a fresh session), middle-shard boundary-bundle-in/out vs.
head/tail token-output, deterministic cache-miss on an unopened session,
stale-route-epoch rejection, cancel-then-decode rejection (+ cancel
idempotency), release-then-decode rejection (+ release idempotency), and
metrics reporting cancelled sessions. DGR-032's fixture and DGR-037's
llama.cpp binding are both expected to import this and pass it against their
own engine, proving identical lifecycle semantics without duplicating the
checks.
### `tests/test_shard_engine.py` (new)
- `_ReferenceEngine`: a minimal in-memory `ShardEngine` used only to prove the
shared contract is non-vacuous. It is explicitly *not* the DGR-032
deterministic fixture (no delay/memory-pressure/malformed/crash injection —
that is DGR-032's own, larger scope); the docstring says so to prevent this
story's evidence from being read as inherited completion credit for DGR-032.
- Dataclass validation tests: abstract-class instantiation refusal, tensor/
bundle/token-output field validation, MTP-hook enable refusal, exactly-one-
input-kind enforcement on `PrefillRequest`/`DecodeRequest`, `LoadRequest`
shard-range-vs-total-layers validation, `StepResult` output-required-on-OK.
- `test_shard_engine_module_imports_no_native_or_grpc_or_wire_abi_types`:
walks `vars(shard_engine_module)` and asserts no bound name's `__name__` is
`ctypes`, `grpc`, or `meshnet_node.native_protocol` — a structural check
(not a docstring-text grep, which produced a false positive on first draft
because the module's own docstring *names* `ggml_tensor` as an example of
what must never appear) that the ABI-isolation acceptance criterion holds.
### `.scratch/distributed-gguf-runtime/prd.json` / issue markdown
Marked `DGR-031.passes = true` with `completionNotes`; regenerated
`issues/031-introduce-the-project-owned-shardengine-interface.md` via
`scripts/ralph_prd_schema.py render` so it matches `prd.json` byte-for-byte.
## Acceptance criteria → evidence
1. **load/capabilities/prefill/decode/boundary-logits-result/cancel/release/
health/metrics** — `ShardEngine`'s eight abstract methods plus
`StepResult.output: BoundaryBundle | TokenOutput | None`. Verified by
`test_reference_engine_obeys_the_shared_shard_engine_contract` and the
middle-shard-vs-tail-shard assertion inside
`assert_shard_engine_contract`.
2. **No `ggml_tensor`/llama context/scheduler/ABI-owned structure** — every
type in `shard_engine.py` is a plain dataclass over `str`/`int`/`bytes`/
`Mapping`; no import of `native_protocol`, `grpc`, or `ctypes`. Verified by
`test_shard_engine_module_imports_no_native_or_grpc_or_wire_abi_types`.
3. **Reserved typed MTP/architecture-aux-state hooks, not enabled**
`MtpHook.__post_init__` raises on `enabled=True`; `ArchitectureAuxStateHook`
carries opaque shard-local state with no wire path. Verified by
`test_mtp_hook_is_reserved_and_refuses_to_enable` and
`test_architecture_aux_state_hook_carries_opaque_shard_local_state`, plus
`assert_shard_engine_contract`'s `caps.supports_mtp is False` check.
4. **Contract tests proving fake and future llama implementations obey
identical lifecycle semantics** — `tests/shard_engine_contract.py` is
written to be imported by DGR-032 and DGR-037 against their own engines;
`test_shard_engine.py` proves it is real by running it against
`_ReferenceEngine`.
5. **Gates + this handoff** — below.
## Commands and results
```bash
PYTHONPATH=packages/node:packages/tracker .venv/bin/python3 -m pytest -q tests/test_shard_engine.py
```
```text
12 passed in 0.13s
```
```bash
PYTHONPATH=packages/node:packages/tracker .venv/bin/python3 -m pytest -q \
tests/test_shard_engine.py tests/test_shard_lifecycle.py \
tests/test_architecture_boundary.py tests/test_activation_envelope.py \
tests/test_native_shard_protocol.py tests/test_shard_runtime_harness.py
```
```text
95 passed, 3 skipped in 3.65s
```
```bash
.venv/bin/python3 -m compileall packages/node/meshnet_node/shard_engine.py tests/shard_engine_contract.py tests/test_shard_engine.py
```
```text
Compiling 'packages/node/meshnet_node/shard_engine.py'...
Compiling 'tests/shard_engine_contract.py'...
Compiling 'tests/test_shard_engine.py'...
```
```bash
git diff --check
```
```text
(no output — clean)
```
## Limitations
- `tests/` as a whole does not collect cleanly in this environment: 27
pre-existing test modules fail to import for missing optional dependencies
(`cryptography`, etc.) unrelated to this story. Reproduced identically with
`git stash` before this session's change (`27 errors during collection`),
so this is pre-existing environment state, not a regression introduced
here. This story's own gates were run as the targeted, scoped test set
above per the shared quality gates' own wording ("Targeted deterministic
tests pass").
- The contract in `shard_engine_contract.py` proves *lifecycle* semantics
(gating, cache-miss/stale-epoch/cancel/release, boundary-vs-token output
shape) are identical across implementations. It does not — and cannot yet
— prove numerical parity between a fake and a real engine; that is
DGR-036's explicit job once DGR-032 and DGR-037 both exist.
- `_ReferenceEngine` in `test_shard_engine.py` is intentionally minimal
(no delay/memory-pressure/malformed-output/crash injection). DGR-032's
acceptance criteria require those independently; nothing here should be
read as satisfying them.
- No gRPC/CMake/native-build changes were needed or made — this story is
pure Python interface/type definition (`evidenceClass: model-free`,
`hardware: none`), so the native CMake/CTest and patch-stack gates in the
shared quality-gate list do not apply here (consistent with DGR-021/DGR-025,
which record the same non-applicability for non-native stories).
## Dependency handoff
- **DGR-032** (fake `ShardEngine`): subclass `ShardEngine`, add delay/memory-
pressure/malformed-output/crash injection, and pass the *same*
`assert_shard_engine_contract` from `tests/shard_engine_contract.py`
against it — no new contract vocabulary should be needed.
- **DGR-034/DGR-035** (range-aware GGUF ownership, boundary I/O): `LoadRequest`
already carries `shard_start`/`shard_end`/`total_layers`/`recipe`; `capabilities()`
reports the authoritative range via `EngineCapabilities.is_head`/`is_tail`.
`BoundaryBundle.token_id_sideband` is reserved for the first-three-hash-
routed-layers V4 requirement RALPH-CONTEXT documents.
- **DGR-037** (bind llama.cpp to the worker): implement `ShardEngine` as a
thin wrapper around the native artifact from `native_backend.py`/
`runtime_recipe.py`; `shard_runtime_server.py`'s `Session`/`GetCapability`/
`Health`/`Cancel`/`Release` handlers become the translation layer between
`pb.*` wire messages and this module's request/result types — this story
intentionally does not touch `shard_runtime_server.py` itself, since that
wiring is DGR-037's scope.
- **DGR-051** (V4 `ShardEngine` adapter): `MtpHook`/`ArchitectureAuxStateHook`
fix the field shape now so the V4 adapter does not need a breaking change
to enable MTP after DGR-066 or to carry CSA/HCA/SWA/indexer/compressor
state.

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@@ -0,0 +1,259 @@
# DGR-032 evidence — deterministic fake `ShardEngine`
**Completed:** 2026-07-23
**Branch:** `ralph/distributed-gguf-runtime`
**Authority:** `.scratch/distributed-gguf-runtime/prd.json`
**Dependencies:** DGR-031 (`evidence/DGR-031/README.md` — the project-owned
`ShardEngine` abstract contract, `tests/shard_engine_contract.py`'s
`assert_shard_engine_contract`, and its own dependency-handoff note that
DGR-032 should "subclass `ShardEngine`, add delay/memory-pressure/malformed-
output/crash injection, and pass the *same* `assert_shard_engine_contract`
... — no new contract vocabulary should be needed").
## Objective
Provide an engine fixture that deterministically transforms typed boundary
bundles and session state: head/middle/tail, prefill/decode, cancellation,
release, isolated per-session epoch state, deterministic cache-miss/stale-
epoch failures, and configurable delay/memory-pressure/malformed-output/
crash-injection fault surfaces — all without llama.cpp, a GPU, or any I/O.
## What was found live before changing code
- `packages/node/meshnet_node/shard_engine.py` (DGR-031): the abstract
`ShardEngine` with eight operations (`load`, `capabilities`, `prefill`,
`decode`, `cancel`, `release`, `health`, `metrics`) and its project-owned
dataclasses (`LoadRequest`, `EngineCapabilities`, `PrefillRequest`/
`DecodeRequest`, `StepResult`, `BoundaryBundle`/`EngineTensor`,
`TokenOutput`, `HealthResult`, `MetricsResult`).
- `tests/shard_engine_contract.py` (DGR-031): the reusable
`assert_shard_engine_contract(make_engine)` helper — nine lifecycle checks
any implementation must pass, explicitly designed to be imported by
DGR-032 and DGR-037 against their own engines.
- `tests/test_shard_engine.py` (DGR-031): its `_ReferenceEngine` is
explicitly documented as *not* the DGR-032 fixture ("no delay/memory-
pressure/malformed/crash injection... that is a separate, larger story") —
confirming this story starts from nothing, not inherited credit.
- `grep -rn -i "fakeshardengine\|fake_shard_engine"` across `.py`/`.md`
returned no prior matches — no fake engine existed before this story.
- No file in `packages/node/meshnet_node/` wires a `ShardEngine` into
`shard_runtime_server.py` yet (confirmed by grep for `ShardEngine`/
`shard_engine` in that file — no matches); that wiring is DGR-037's scope,
so this fixture is a standalone, importable engine only.
Live verification of the pre-existing dependency contract before adding new
code:
```bash
PYTHONPATH=packages/node:packages/tracker .venv/bin/python3 -m pytest -q tests/test_shard_engine.py
```
```text
12 passed in 0.13s
```
## What was added (this story's change)
### `packages/node/meshnet_node/fake_shard_engine.py` (new)
`FakeShardEngine(ShardEngine)` — a pure-Python, deterministic fixture:
- **Determinism.** Every `prefill`/`decode` output is `SHA-256(seed_bytes +
idempotency_step)`, where `seed_bytes` is derived from `token_ids` (head)
or the input `BoundaryBundle`'s tensor bytes plus any `token_id_sideband`
(middle/tail-in). Replaying identical inputs on a brand-new session
produces byte-identical output — proven by
`assert_shard_engine_contract`'s own determinism check and reused directly.
- **Head/middle/tail.** Tail shards (`shard_end >= total_layers - 1`) return
a `TokenOutput` sampled into `[0, TOKEN_ID_VOCAB_SIZE)`; head/middle shards
return a `BoundaryBundle` tagged `boundary_point="post_head_residual"` or
`"post_middle_residual"` respectively, so the three cases are
distinguishable in fixture output, not just in the load request. A middle
shard's `token_id_sideband` passes through unchanged from its input bundle
to its output bundle (the V4 first-three-hash-routed-layers requirement
RALPH-CONTEXT documents), never invented or dropped.
- **Isolated session/epoch state.** `_sessions: dict[str, _SessionState]`
keyed by `session_id`; each session tracks its own `epoch`/`cancelled`
flag. A stale epoch, cancel, or release on one session never touches
another's state (`test_session_state_is_isolated_between_two_concurrent_sessions`
proves a stale-epoch rejection and a cancel on session `"a"` leave session
`"b"` fully serviceable). Decoding an unopened session is a deterministic
`NOT_FOUND`/`CacheResult.MISS`, not an exception.
- **Configurable delay.** `FakeShardEngineConfig.step_delay_seconds` +
injectable `sleep` hook (defaults to `time.sleep`, overridable in tests so
they don't block wall-clock time) — invoked once per `prefill`/`decode`
call before computing the deterministic output.
- **Configurable memory pressure.** `FakeShardEngineConfig.memory_budget_bytes`
— the engine accumulates `_bytes_used` across every step's seed bytes;
once a step would push cumulative usage past the budget, that step
deterministically returns `StatusCode.RESOURCE_EXHAUSTED` (`retryable=True`)
with no output, instead of computing one.
- **Configurable malformed output.** `FakeShardEngineConfig.malformed_output`
— when set, the engine still reports `StatusCode.OK` (the point is a
buggy-but-"successful"-looking response, not a status-coded failure) but
the payload is structurally valid, semantically wrong: a tail `TokenOutput`
is pushed past `MALFORMED_TOKEN_ID_FLOOR` (outside the fixture's own
advertised vocab), and a head/middle `BoundaryBundle` gets an
`architecture` field prefixed `"malformed:"` and its tensor `data`
truncated to one byte — both structurally valid per `EngineTensor`'s and
`BoundaryBundle`'s own `__post_init__` validation (which does not
cross-check `data` length against `shape`/`dtype`), so a consumer must
actually check shape/semantics, not just status codes, to catch it.
- **Configurable crash injection.** `FakeShardEngineConfig.crash_after_calls`
+ `crash_exception_factory` — after the configured number of
`prefill`/`decode` calls, the engine raises an arbitrary exception (default
`RuntimeError`, injectable) directly out of the call instead of returning a
`StepResult`. This is deliberately *not* wrapped in `EngineError`/
`StructuredStatus`: it simulates a whole-process failure (what a worker
supervisor — DGR-040 — must catch and restart around), which is a
different failure mode from a graceful status-coded rejection.
- **Fixture-vs-real marker.** `FakeShardEngine.EVIDENCE_CLASS = "fixture"` —
a structural constant (not just docstring prose) so DGR-036's fixture-vs-
real-model parity check can assert programmatically that it is comparing a
fixture engine against a real one, never two fixtures.
- Every fault-injection knob defaults to off (`0`/`None`/`False`), so a bare
`FakeShardEngine()` passes `assert_shard_engine_contract` unmodified —
fault injection is opt-in, never a baseline behavior change.
### `tests/test_fake_shard_engine.py` (new)
- `test_fake_shard_engine_obeys_the_shared_shard_engine_contract` — runs the
full DGR-031 contract against a bare `FakeShardEngine`.
- `test_fake_shard_engine_declares_fixture_evidence_class` — pins the
`EVIDENCE_CLASS` marker DGR-036 will rely on.
- Head/middle/tail output-shape tests (`boundary_point`, token-id-sideband
pass-through, tail vocab range).
- `test_session_state_is_isolated_between_two_concurrent_sessions` — a
stale-epoch rejection and a cancel on one session leave a second,
concurrently open session fully serviceable.
- One test per fault-injection knob (delay hook invocation, memory-budget
trip, malformed tail/boundary-bundle output, crash-after-N-calls,
configurable crash exception type) plus `FakeShardEngineConfig`'s own
`__post_init__` validation (negative delay, negative budget, non-positive
`crash_after_calls`).
- `test_load_result_and_capabilities_report_recipe_architecture` — the
fixture threads `LoadRequest.recipe["architecture"]` through to both
`LoadResult.architecture` and `EngineCapabilities.architecture` rather than
hardcoding `"dense"`/`"fake"` everywhere, so a future V4 recipe is visible
in fixture output too.
### `.scratch/distributed-gguf-runtime/prd.json` / issue markdown
Marked `DGR-032.passes = true` with `completionNotes`; regenerated
`issues/032-implement-deterministic-fake-shardengine.md` via
`scripts/ralph_prd_schema.py render` so it matches `prd.json` byte-for-byte.
## Acceptance criteria → evidence
1. **Head, middle, tail, prefill, decode, cancellation, release with
deterministic outputs** — `FakeShardEngine`'s `_transform`, boundary-point
tagging, and `assert_shard_engine_contract`'s own determinism/cancel/
release checks. Verified by
`test_fake_shard_engine_obeys_the_shared_shard_engine_contract`,
`test_head_shard_returns_boundary_bundle_with_post_head_residual_point`,
`test_middle_shard_returns_boundary_bundle_and_passes_through_token_sideband`,
`test_tail_shard_returns_token_output_within_advertised_vocab`.
2. **Isolated session/epoch state and deterministic cache-miss/stale-epoch
failures** — `_sessions` dict keyed per session;
`test_session_state_is_isolated_between_two_concurrent_sessions` plus the
shared contract's own cache-miss/stale-epoch checks.
3. **Configurable delay, memory pressure, malformed output, crash
injection** — `FakeShardEngineConfig`; verified by
`test_step_delay_seconds_invokes_the_configured_sleep_hook`,
`test_memory_budget_bytes_trips_deterministic_resource_exhausted`,
`test_malformed_output_is_structurally_valid_but_semantically_wrong_for_tail`,
`test_malformed_output_is_structurally_valid_but_semantically_wrong_for_boundary_bundle`,
`test_crash_after_calls_raises_instead_of_returning_a_structured_status`,
`test_crash_exception_factory_is_configurable`,
`test_config_rejects_invalid_knob_values`.
4. **Contract tests distinguish fixture evidence from real-model
certification** — module docstring and this README are explicit that
this is FIXTURE evidence only (numeric parity is DGR-036 onward); the
`EVIDENCE_CLASS = "fixture"` constant makes that distinction structurally
checkable, not just prose, pinned by
`test_fake_shard_engine_declares_fixture_evidence_class`.
5. **Gates + this handoff** — below.
## Commands and results
```bash
PYTHONPATH=packages/node:packages/tracker .venv/bin/python3 -m pytest -q tests/test_fake_shard_engine.py tests/test_shard_engine.py
```
```text
26 passed in 0.17s
```
```bash
PYTHONPATH=packages/node:packages/tracker .venv/bin/python3 -m pytest -q \
tests/test_fake_shard_engine.py tests/test_shard_engine.py tests/test_shard_lifecycle.py \
tests/test_architecture_boundary.py tests/test_activation_envelope.py \
tests/test_native_shard_protocol.py tests/test_shard_runtime_harness.py
```
```text
109 passed, 3 skipped in 3.78s
```
```bash
.venv/bin/python3 -m compileall -q packages tests
```
```text
(no output — clean; exit 0)
```
```bash
git diff --check
```
```text
(no output — clean)
```
## Limitations
- `tests/` as a whole does not collect cleanly in this environment: the same
pre-existing collection errors DGR-031's evidence recorded (missing
optional dependencies such as `cryptography`) are still present and are
unrelated to this story. This story's own gates were run as the targeted,
scoped test set above per the shared quality gates' wording ("Targeted
deterministic tests pass").
- This is FIXTURE evidence only. `FakeShardEngine` proves lifecycle,
session/epoch isolation, and fault-injection semantics; it proves nothing
about numerical parity with a real model. That is DGR-036's explicit job
once DGR-037's real engine exists, and DGR-053/054 for V4 alpha
certification.
- `FakeShardEngine` is not wired into `shard_runtime_server.py` or any gRPC
surface — it is a standalone, importable engine only. Wiring a
`ShardEngine` (fake or real) into the gRPC servicer is DGR-037's scope for
the real engine; DGR-033 covers a C++ worker surface, which is a separate
native executable, not a consumer of this Python module.
- No gRPC/CMake/native-build changes were needed or made — this story is
pure Python fixture code (`evidenceClass: fixture`, `hardware: none`), so
the native CMake/CTest and patch-stack gates in the shared quality-gate
list do not apply here, consistent with DGR-031's own README recording the
same non-applicability.
## Dependency handoff
- **DGR-033** (standalone fake C++ gRPC Shard worker): its own issue
describes a native C++ executable serving the lifecycle/stream RPC
contract "using the fake engine" — that is a native analogue, not a
consumer of this Python module; DGR-033 should still read this README for
the exact deterministic-output/session-isolation/fault-injection semantics
its C++ fake engine needs to reproduce so both fakes behave identically
from a client's point of view.
- **DGR-034/DGR-035** (range-aware GGUF ownership, boundary I/O):
`FakeShardEngine` already demonstrates range-driven head/middle/tail
behavior purely from `LoadRequest.shard_start`/`shard_end`/`total_layers`;
no new range vocabulary was needed.
- **DGR-036** (fixture vs real-model parity): compare a `FakeShardEngine`
instance's `EVIDENCE_CLASS` (`"fixture"`) against DGR-037's real engine's
equivalent marker (expected `"real"`) to assert the parity check is
actually comparing two different implementations; reuse
`assert_shard_engine_contract` against both to prove lifecycle parity
before attempting numeric parity.
- **DGR-037** (bind llama.cpp to the worker): `FakeShardEngine` is the
reference implementation to diff a real engine's lifecycle behavior
against — same request/result types, same session/epoch model, no new
contract vocabulary.
- **DGR-040** (worker supervision): the crash-injection knob
(`crash_after_calls`/`crash_exception_factory`) exists specifically so
supervision/restart logic has a deterministic way to trigger and test an
unhandled engine failure distinct from a graceful `StructuredStatus`
rejection.

View File

@@ -0,0 +1,281 @@
# DGR-033 evidence — standalone fake C++ gRPC Shard worker
**Completed:** 2026-07-25 (initial); **repaired:** 2026-07-26 after Codex
GPT-5.5 cross-review BLOCK (see "Cross-review repair" below).
**Branch:** `ralph/distributed-gguf-opus`
**Authority:** `.scratch/distributed-gguf-runtime/prd.json`
**Dependencies:** DGR-022 (lifecycle/status contract), DGR-024 (real generated
gRPC harness + `shard_runtime_server.py` reference semantics), DGR-032
(deterministic fake `ShardEngine` semantics).
## Objective
Prove the standalone worker process, stream, lifecycle, and supervision shape
before any llama.cpp integration: a real C++ executable that serves the whole
ShardRuntime lifecycle/stream contract over gRPC using a model-free fake engine,
driven end-to-end by Python integration tests over a real socket.
## What was found live before changing code
- `packages/node/native/proto/shard_runtime.proto` (DGR-021..023): the single
semantic contract. Its `ShardRuntime` service has exactly five RPCs —
`GetCapability`, `Health`, `Session` (bidi stream), `Release`, `Cancel`.
- `packages/node/meshnet_node/shard_runtime_server.py` (DGR-024): the reference
Python servicer. It performs a *bounded real forward* (a CRC over the received
bundle bytes) then echoes the chunk, and fails closed on stale epoch, expired
deadline, corrupt/mis-tiled fragments, exhausted flow-control credit, duplicate
idempotency step, and in-band/out-of-band cancellation, with per-`route_session_id`
state kept on the servicer so an out-of-band `Cancel` can reach a live session.
**Key finding:** despite the schema labelling the checksum `CRC32C`, this
runtime computes it with `zlib.crc32` (standard CRC-32, *not* Castagnoli). The
C++ worker mirrors `zlib.crc32` exactly so its checksum acceptance is
byte-identical to the existing Python surface (the committed C++ *conformance*
test, by contrast, uses true Castagnoli against separately-generated goldens —
the two are unrelated code paths).
- `packages/node/native/CMakeLists.txt` (DGR-029/030): configures against the
ignored `build/native-toolchain` prefix (pinned Protobuf 33.1 + gRPC 1.82.1),
always generates both message and service stubs, and registers a C++
conformance CTest. There was **no** worker executable and **no** Python
worker integration test before this story (confirmed by
`ls packages/node/native/worker` → absent, and grep for `shard_worker`).
- `packages/node/meshnet_node/fake_shard_engine.py` (DGR-032): the Python fake
engine, deliberately *not* wired into the gRPC surface. DGR-033's worker is
its native analogue — a separate executable, not a consumer of that module —
so both fakes present identical behaviour to a client (deterministic,
model-free bounded forward; per-session isolation; fail-closed lifecycle).
## What was added (this story's change)
### `packages/node/native/worker/fake_engine.h` (new)
`meshnet::worker::FakeShardEngine` — a header-only, model-free fixture engine.
Its only capability is to validate a `TensorBundle` (fragments tile exactly, the
uncompressed CRC-32 matches the declared checksum, the declared payload stays
within the negotiated `max_chunk_bytes`) and fold the fragment bytes through a
bounded forward. It links, loads, and dispatches to **nothing** — no llama.cpp,
no graph execution. Carries `kEvidenceClass = "fixture"` mirroring the Python
`FakeShardEngine.EVIDENCE_CLASS` for the later DGR-036 parity check.
### `packages/node/native/worker/shard_service.{h,cpp}` (new)
`ShardRuntimeServiceImpl : meshnet::shard::v1::ShardRuntime::Service` — a faithful
C++ port of the DGR-024 Python servicer: the same per-`route_session_id`
identity/credit/dedup state guarded by a mutex, the same fail-closed negative
paths, and the same lifecycle (open → prefill/decode → flow-control top-up →
release/cancel). Each per-request response is computed under the lock and written
*after* releasing it, so a blocking `Write` can never deadlock the out-of-band
`Cancel` RPC that needs the same lock. Bounded messages are enforced two ways: a
per-tensor `RESOURCE_EXHAUSTED` app check against `max_chunk_bytes`, plus a hard
transport receive ceiling.
### `packages/node/native/worker/shard_worker_main.cpp` (new)
The standalone `shard_worker` executable. Binds `MESHNET_SHARD_LISTEN_ADDR`
(or an `argv` address), prints one readiness line (`ShardRuntime worker listening
on <addr>`), and serves until `SIGTERM`/`SIGINT`. **Graceful shutdown** uses a
self-pipe: the async-signal-safe handler writes one byte, a drain thread reads it
and calls `server->Shutdown()`, so in-flight sessions finish and the process
exits `0` printing `ShardRuntime worker shut down cleanly`. A `--selftest` mode
binds an ephemeral port and self-drives capability/health/fragmented-prefill/
decode/release over a real loopback gRPC channel, giving a pure-C++ CTest that
needs no Python.
### `packages/node/native/CMakeLists.txt` (modified)
Adds the `shard_worker` executable (linking only `shard_runtime_grpc` +
`gRPC::grpc++` — no llama.cpp) and registers `shard_worker_selftest` as a CTest.
### `tests/test_native_shard_worker.py` (new)
18 integration tests that spawn the **real compiled binary** as a subprocess and
drive it with the committed generated stubs over a real localhost socket. When
the binary is not built they skip (the DGR-029/030 `requires_cmake` gating
pattern), locating it via `MESHNET_SHARD_WORKER_BIN` or `build/native/shard_worker`.
## Acceptance criteria → evidence
1. **Standalone C++ executable serves the complete lifecycle/stream contract
using the fake engine** — `shard_worker` builds and serves all five RPCs; the
`shard_worker_selftest` CTest drives open → fragmented prefill → decode →
release over real gRPC; the 18 Python tests cover the same against the
subprocess.
2. **Python integration tests cover startup, health, capability, fragmented
prefill, decode, release, cancellation, graceful shutdown** —
`test_worker_startup_and_health`, `test_worker_capability`,
`test_fragmented_prefill_echoes_reassembled_payload` (3-fragment tiling),
`test_decode_step_is_served`, `test_release_is_terminal`,
`test_in_band_cancel_of_single_work_item_does_not_end_stream`,
`test_in_band_cancel_of_whole_session_is_terminal`,
`test_out_of_band_cancel_rpc_races_ahead_of_open`,
`test_graceful_shutdown_on_sigterm` (SIGTERM → exit 0 + clean-shutdown line).
3. **Bounded messages, deadlines, flow control, independent session
cancellation enforced** — `test_bounded_message_is_rejected`
(`RESOURCE_EXHAUSTED` on an over-ceiling tensor),
`test_expired_deadline_is_rejected`, `test_flow_control_violation_and_topup`,
`test_independent_session_cancellation` (cancelling session A leaves session B
fully serviceable), plus `test_stale_route_epoch_is_rejected`,
`test_duplicate_idempotency_step_is_acked`,
`test_malformed_fragment_tiling_is_rejected`.
4. **Exposes neither llama.cpp RPC nor arbitrary graph execution**
`ldd build/native/shard_worker` shows no llama/ggml shared libs;
`nm -C build/native/shard_worker | grep -icE 'llama_|ggml_'``0`; the proto
exposes exactly one service with five lifecycle RPCs and no graph-exec entry.
5. **Gates + this handoff** — below.
## Commands and results
Toolchain (ignored `build/native-toolchain`, pinned Protobuf 33.1 + gRPC 1.82.1):
```bash
bash scripts/bootstrap_native_toolchain.sh "$PWD/build/native-toolchain"
# ... gRPC 1.82.1 commit acccf84c0df20487d64101f528e5d426541ca4e5
# grpc_cpp_plugin sha256 43705cf26ae9ce98bbcee76b3408f5e171eec746b50bf0dd42dd68d132c6a533
```
Focused out-of-tree CMake build + CTest:
```bash
cmake -S packages/node/native -B build/native -DCMAKE_PREFIX_PATH="$PWD/build/native-toolchain"
cmake --build build/native -j"$(nproc)"
ctest --test-dir build/native --output-on-failure
```
```text
1/2 Test #1: shard_worker_selftest ............ Passed 0.01 sec
2/2 Test #2: shard_protocol_conformance ....... Passed 0.00 sec
100% tests passed out of 2
```
Python integration tests against the real binary:
```bash
PYTHONPATH=packages/node:packages/tracker python -m pytest -q tests/test_native_shard_worker.py
```
```text
18 passed in 3.96s
```
AC4 (no llama.cpp / no graph exec):
```bash
ldd build/native/shard_worker | grep -iE 'llama|ggml' # -> (no matches)
nm build/native/shard_worker | grep -icE 'llama_|ggml_' # -> 0
```
Shared gates + regression:
```bash
python -m compileall -q packages tests # exit 0
git diff --check -- packages/node/native tests/test_native_shard_worker.py # exit 0
PYTHONPATH=packages/node:packages/tracker python -m pytest -q \
tests/test_shard_runtime_harness.py tests/test_native_shard_protocol.py
# -> 61 passed, 2 skipped (DGR-024 harness + native protocol untouched)
```
Toolchain used: `cmake`/`ctest` from the `distributed-gguf-runtime` worktree's
`.venv` (PyPI `cmake==4.4.0` wheel — no system cmake exists here, same as
DGR-029/030); the Python client uses that venv's `grpcio==1.82.1`,
`grpcio-tools==1.82.1`, `protobuf`, `pytest`. `g++ (GCC) 15.2.1`.
## Limitations
- This is FIXTURE evidence only. The worker's "forward" is a CRC-over-wire-bytes
echo, not real tensor compute; it proves process/stream/lifecycle/supervision
shape, nothing about numerical correctness. Real engine binding is DGR-037 and
numeric parity is DGR-036/052.
- The worker checksum path mirrors the DGR-024 runtime's `zlib.crc32` (standard
CRC-32 under a `CRC32C` label). Compressed-tensor tiling/checksum is not
independently verified (no zstd decompressor in the fixture) — identical to the
DGR-024 limitation.
- Default `pytest` runs skip `tests/test_native_shard_worker.py` unless the
worker binary is built (or `MESHNET_SHARD_WORKER_BIN` is set); this session
built it and ran all 18 for real (results above). Building requires the pinned
gRPC C++ toolchain, which is not present by default and must be bootstrapped.
- No CUDA/ROCm/GPU, no model download, no network at test time — all default
tests are fixture-only and offline.
## Dependency handoff
- **DGR-036** (fixture vs real-model parity): the worker's `FakeShardEngine`
carries `kEvidenceClass = "fixture"`; diff it against DGR-037's real engine's
equivalent marker, and reuse the same lifecycle/stream contract this worker
serves to prove behavioural parity before numeric parity.
- **DGR-037** (bind llama.cpp): replace `FakeShardEngine`'s bounded forward with
the real engine behind the *same* `ShardRuntimeServiceImpl` surface; the
service's session/epoch/credit/dedup/cancel machinery and the graceful-shutdown
supervision shape are reusable as-is.
- **DGR-040** (worker supervision): `shard_worker` already provides the
supervision primitives — a readiness line for start detection, `SIGTERM`
graceful drain with a clean-exit line, and a `--selftest` liveness probe.
A supervisor can start/monitor/restart the process around these.
## Cross-review repair (2026-07-26)
An independent Codex GPT-5.5 review BLOCKED the initial implementation. Four
root protocol defects in the native worker were fixed in this worktree
(`.claude/worktrees/distributed-gguf-opus`); the fake-engine echo semantics and
supervision shape are unchanged.
### Defects fixed
1. **Activation before SessionOpen bypassed all state.** A chunk/decode whose
`route_session_id` had no opened session fell through every `if (state && ...)`
guard and was echoed — bypassing lifecycle, cancellation, epoch and
flow-control. `SessionState` now carries an `opened` flag set only by a valid
`SessionOpen`; chunk and decode fail closed with a terminal
`ERROR_CODE_INTERNAL` and end the stream when it is false. A placeholder state
created by an out-of-band `Cancel` that races `Open` has `opened == false`, so
it can never admit work either.
2. **Flow control blindly trusted the peer proposal.** `SessionOpen` copied the
proposed `credits/max_inflight/max_chunk_bytes` verbatim into session state and
the accepted reply. New `ShardRuntimeServiceImpl::NegotiateFlow` takes the
strictest bound of peer-vs-worker for every field (mirroring
`negotiate_flow_control` in `native_protocol/codec.py`), stores the negotiated
ceilings on the session, and enforces the negotiated per-session
`max_chunk_bytes` on every bundle (`FakeShardEngine::Validate` now takes the
ceiling as an argument instead of a fixed construction-time value).
3. **In-stream `ReleaseSignal` leaked session state.** The stream `release` arm
wrote a terminal status but never dropped the session. It now erases the
session under the lock before responding, so KV/credits/dedup are freed
immediately (the out-of-band `Release` RPC already erased).
4. **`SessionOpen` echoed caller identity instead of validating it.** The handshake
now rejects an incompatible `schema_version` (`SCHEMA_UNSUPPORTED`), a
mismatched model/recipe `Fingerprint` (`FINGERPRINT_MISMATCH`), and a
`ShardRange` outside the worker's served range (`SHARD_RANGE_MISMATCH`), each
terminal; `SessionAccepted` now reports the worker's own served fingerprint
rather than a copy of the caller's.
### Changed files (repair)
- `packages/node/native/worker/shard_service.h``opened` +
`max_prefill_chunk_tokens` on `SessionState`; `NegotiateFlow` decl; engine now
default-constructed.
- `packages/node/native/worker/shard_service.cpp` — worker-identity constants +
fill helpers; `NegotiateFlow`; `SessionOpen` validation/negotiation; fail-closed
chunk/decode; per-session `max_chunk_bytes`; in-stream release erase.
- `packages/node/native/worker/fake_engine.h``Validate(bundle, max_chunk_bytes)`.
- `tests/test_native_shard_worker.py` — extended `_open` (schema/fingerprint/range/
flow overrides); fixed `test_release_rpc_is_idempotent` for the new erase
semantics; added 9 regression tests (chunk/decode before open, flow-control
clamp, negotiated-ceiling cap, in-stream release erase, schema/fingerprint/range
rejection, worker-fingerprint-not-caller).
### Re-run gates (real, rebuilt binary)
Build driven through the pinned `cmake` (Unix Makefiles + `gmake`, gRPC 1.82.1):
```text
cmake --build build/native --parallel 8 -> BUILD_EXIT 0
ctest --test-dir build/native --output-on-failure -> 100% (2/2) passed
shard_worker_selftest ....... Passed
shard_protocol_conformance .. Passed
python -m pytest -q tests/test_native_shard_worker.py -> 27 passed
python -m pytest -q tests/test_shard_runtime_harness.py \
tests/test_native_shard_protocol.py -> 63 passed
python -m compileall -q packages tests -> exit 0
git diff --check -> clean
ldd build/native/shard_worker | grep -iE 'llama|ggml' -> NONE
nm -C build/native/shard_worker | grep -cE 'llama_|ggml_' -> 0
```
The worker integration suite grew from 18 to 27 tests; all pass against the
freshly compiled binary. No `.ralph-lane` runtime artifacts were touched.

View File

@@ -0,0 +1,94 @@
# DGR-034 evidence — dense-Llama range-aware GGUF ownership
**Status:** implemented and live-verified on 2026-08-01. `prd.json` remains
the authority for story state.
## What changed
- The pinned llama.cpp patch stack adds `meshnet_owned_layer_start/end` and
filters dense-Llama GGUF registration to `blk.N.*` for the requested
half-open range. `token_embd.weight` belongs to the head; `output_norm` and
`output.weight` (or the tied embedding) belong to the tail.
- The load state exposes a C range report derived from the registered model
buffers, and a project-owned `meshnet-range-report` tool audits the live
registered tensor map. It rejects empty, inverted, out-of-model, missing,
outside-range, unexpected, and endpoint-inconsistent loads.
- `meshnet_node.range_report` accepts only audited tool output. It makes the
range and endpoint flags authoritative from loaded state rather than caller
assertions, and fails closed on malformed ownership or byte counts.
## Real-model memory evidence
Artifact: `Magistral-Small-2509-Q4_K_M.gguf`, 14,333,911,104 bytes, SHA-256
`a17a113480e7f55780ad1d100493c70ac158d1943e578bbdd75acef0872ab7dc`.
It stayed on the configured mounted drive; no artifact was downloaded or put
under `/home`.
The direct non-mmap lane proves resident storage tracks owned tensors:
| Range | Registered tensors | Resident bytes | Process peak RSS |
| --- | ---: | ---: | ---: |
| `[10, 20)` | 90 | 3,304,898,560 | 3,298,800 KiB |
| `[0, 40)` | 363 | 14,326,026,240 | 14,061,632 KiB |
Raw reports and timings are in `runs/default-mid-a.*` and
`runs/default-full-nommap.*`. The middle range is 23.1% of the full
resident allocation and owns 24.8% of the registered tensors.
## Commands and results
```text
python3 scripts/llama_cpp_dependency.py reverse --source-dir build/llama.cpp/source
python3 scripts/llama_cpp_dependency.py verify --workspace build/llama.cpp
python3 scripts/llama_cpp_dependency.py apply --source-dir build/llama.cpp/source
# apply/check/reverse succeeded against e920c523e3b8a0163fe498af5bf90df35ff51d25;
# the source was then applied for the focused native checks.
(cd packages/node/native/llama/patches && sha256sum -c SHA256SUMS)
# all six patches: OK
/home/popov/.hermes/hermes-agent/venv/bin/ctest \
--test-dir build/llama.cpp/dgr034-check \
-R '^test-meshnet-range-ownership$' --output-on-failure
# 1/1 passed
PYTHONPATH=packages/node MESHNET_RANGE_REPORT_BIN="$PWD/build/llama.cpp/dgr034-check/bin/meshnet-range-report" \
/home/popov/.hermes/hermes-agent/venv/bin/pytest -q \
tests/test_range_report.py tests/test_meshnet_range_report_tool.py \
tests/test_llama_cpp_dependency.py
# 56 passed in 0.87s
PYTHONPATH=packages/node /home/popov/.hermes/hermes-agent/venv/bin/python \
-m compileall -q packages tests
python3 scripts/ralph_prd_schema.py validate .scratch/distributed-gguf-runtime/prd.json
git diff --check && git diff --cached --check
# all exit 0; PRD validation: 55 stories validated
```
The model commands used the same `meshnet-range-report` binary with
`--no-mmap --no-extra-bufts`, first for `[10,20)` and then `[0,40)`; both
returned `ok: true` and their exact output is retained above.
## Changed files
- `packages/node/native/llama/PATCH-STACK.md`
- `packages/node/native/llama/UPSTREAM_LOCK.json`
- `packages/node/native/llama/patches/{series,SHA256SUMS,UPSTREAM-ASSUMPTIONS.json,0006-meshnet-range-report-tool.patch}`
- `packages/node/meshnet_node/range_report.py`
- `tests/test_range_report.py`
- `tests/test_meshnet_range_report_tool.py`
- `.scratch/distributed-gguf-runtime/evidence/DGR-034/*`
## Limitations and dependency handoff
- The mmap loader can retain broad contiguous file spans when GGUF tensor
order places a tail endpoint near the beginning of the artifact; the direct
non-mmap lane is the certified resident-memory result. The raw mmap report
is retained in `runs/default-head.json` and must not be presented as a
physical-RSS saving.
- This story proves loading/ownership only. Partial-range graph execution
remains fail-closed until DGR-035 provides typed dense boundary adapters.
- DGR-037 can bind the worker to `llama_model_meshnet_range_report` or the
strict Python consumer; it must use the reported range, not requested range,
for capability publication. DGR-051 must add its V4-specific ownership
rules separately.

View File

@@ -0,0 +1 @@
a17a113480e7f55780ad1d100493c70ac158d1943e578bbdd75acef0872ab7dc Magistral-Small-2509-Q4_K_M.gguf

View File

@@ -0,0 +1,24 @@
{
"ok": true,
"model": "/run/media/popov/DATA/llm/lmstudio-community/Magistral-Small-2509-GGUF/Magistral-Small-2509-Q4_K_M.gguf",
"architecture": "llama",
"n_layer": 40,
"file_bytes": 14333911104,
"requested_range": [0, 40],
"reported_range": [0, 40],
"mmap": false,
"touched": false,
"use_extra_bufts": false,
"has_token_embeddings": true,
"has_output_head": true,
"tied_output_head": false,
"mapped_bytes": 0,
"resident_bytes": 14326026240,
"registered_tensors": 363,
"registered_bytes": 14326026240,
"unexpected_registered_tensors": [],
"missing_owned_layers": [],
"vm_size_bytes": 14392061952,
"vm_rss_bytes": 14387003392,
"vm_hwm_bytes": 14399111168
}

View File

@@ -0,0 +1 @@
elapsed=0:02.48 maxrss_kib=14061632 exit=0

View File

@@ -0,0 +1,24 @@
{
"ok": true,
"model": "/run/media/popov/DATA/llm/lmstudio-community/Magistral-Small-2509-GGUF/Magistral-Small-2509-Q4_K_M.gguf",
"architecture": "llama",
"n_layer": 40,
"file_bytes": 14333911104,
"requested_range": [0, 10],
"reported_range": [0, 10],
"mmap": true,
"touched": false,
"use_extra_bufts": true,
"has_token_embeddings": true,
"has_output_head": false,
"tied_output_head": false,
"mapped_bytes": 6219366400,
"resident_bytes": 6219366400,
"registered_tensors": 91,
"registered_bytes": 3771596800,
"unexpected_registered_tensors": [],
"missing_owned_layers": [],
"vm_size_bytes": 16942260224,
"vm_rss_bytes": 16937005056,
"vm_hwm_bytes": 16947953664
}

View File

@@ -0,0 +1,24 @@
{
"ok": true,
"model": "/run/media/popov/DATA/llm/lmstudio-community/Magistral-Small-2509-GGUF/Magistral-Small-2509-Q4_K_M.gguf",
"architecture": "llama",
"n_layer": 40,
"file_bytes": 14333911104,
"requested_range": [10, 20],
"reported_range": [10, 20],
"mmap": false,
"touched": false,
"use_extra_bufts": false,
"has_token_embeddings": false,
"has_output_head": false,
"tied_output_head": false,
"mapped_bytes": 0,
"resident_bytes": 3304898560,
"registered_tensors": 90,
"registered_bytes": 3304898560,
"unexpected_registered_tensors": [],
"missing_owned_layers": [],
"vm_size_bytes": 3370934272,
"vm_rss_bytes": 3365814272,
"vm_hwm_bytes": 3377971200
}

View File

@@ -0,0 +1 @@
elapsed=0:00.82 maxrss_kib=3298800 exit=0

View File

@@ -0,0 +1,54 @@
# DGR-035 evidence — dense architecture boundary input/output
**Implemented:** 2026-08-01
**Authority:** `.scratch/distributed-gguf-runtime/prd.json`
## What changed
- `DenseRangeBoundaryExecutor` is a strict execution-facing adapter for the certified `dense-llama` architecture. A head range accepts non-empty token IDs and owns the embedding callback. Middle/tail ranges reject token IDs and require the named `dense.residual.v1` `BoundaryBundle`.
- Non-tail execution returns exactly the raw `hidden_states` residual from its local layer callback. Its constructor rejects a final-norm/output callback, preventing final normalization, logits projection, sampling, and tail-only row pruning before the tail.
- Tail execution is the only path allowed to own final output and returns an explicit `TailOutput`: either validated logits or a sampled token. The existing wire `TypedTailResult` now serializes and validates both choices.
- Unknown architectures, wrong boundary points, and tensor bundles other than one named `hidden_states` tensor fail closed.
## Changed files
- `packages/node/meshnet_node/architecture_boundary.py`
- `tests/test_dense_range_boundary.py`
- `tests/test_architecture_boundary.py`
- `.ralph-tui/progress.md`
- `.scratch/distributed-gguf-runtime/evidence/DGR-035/README.md`
## Commands and results
```bash
TESTPY=/home/popov/.hermes/hermes-agent/venv/bin/python
PYTHONPATH=packages/node:packages/tracker "$TESTPY" -m pytest -q tests/test_dense_range_boundary.py tests/test_architecture_boundary.py tests/test_shard_engine.py tests/test_fake_shard_engine.py
```
```text
37 passed in 0.22s
```
```bash
"$TESTPY" -m ruff check packages/node/meshnet_node/architecture_boundary.py tests/test_dense_range_boundary.py tests/test_architecture_boundary.py
PYTHONPATH=packages/node "$TESTPY" -m compileall -q packages tests
git diff --check
python3 scripts/ralph_prd_schema.py validate .scratch/distributed-gguf-runtime/prd.json
```
```text
All checks passed!
OK: 55 stories validated.
```
## Limitations
- This story adds and proves the project-owned boundary contract with deterministic, model-download-free tests. It does not claim real-model range parity; DGR-036 owns that numerical certification.
- The llama.cpp graph remains fail-closed for partial owned ranges until DGR-037 binds its worker to this execution contract. No native source or patch-stack file was changed here, so native CMake/CTest and patch-cycle gates are not applicable to this Python contract change.
- `.venv/bin/python3` has no `pytest` module in this worktree. The available project validation interpreter above ran the exact targeted tests.
## Dependency handoff
- DGR-036 should use `DenseRangeBoundaryExecutor` with its real-engine bridge to compare whole-model and split residual/logits outputs, including prefill and decode.
- DGR-037 must adapt the pinned llama.cpp dense graph to `embed_tokens`, `run_layers`, and tail-only `tail_output`; it must preserve `dense.residual.v1` unnormalized and avoid row pruning until the tail.
- DGR-069 can propose only a generic residual-in/residual-out llama.cpp hook; architecture names and Meshnet wire/session semantics remain outside upstream.

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@@ -0,0 +1,12 @@
# DGR-036 real-model lane blocker
`DGR-036` cannot receive completion credit yet. The live standalone worker is DGR-033's `FakeShardEngine`, a CRC/echo fixture; DGR-037's real llama.cpp `ShardEngine` binding has not been implemented. Consequently no code path can execute a whole or ranged dense GGUF and no real prefill/logit or greedy-token parity result exists.
The deterministic two-process fake-worker regression is implemented in `tests/test_native_shard_worker.py`, but this sandbox cannot open loopback sockets (`PermissionError: [Errno 1] Operation not permitted`), so that runtime test needs host-side execution as well.
Unblock in this order:
1. Complete DGR-037's real ranged llama.cpp worker binding without changing the DGR-035 dense boundary contract.
2. Provision a small exact dense GGUF on mounted-drive storage and record its artifact/split hashes plus runtime/backend/hardware/network identity.
3. Run whole-model and two-range prefill comparison, then record at least 32 greedy token IDs against the locked tolerance and retain raw metrics.
4. Run the deterministic two-process test on a host with loopback sockets, then update `README.md` and only then set `prd.json` completion truth.

View File

@@ -0,0 +1,63 @@
# DGR-036 evidence — dense fixture and real-model range parity
**Status:** incomplete; `prd.json` remains authoritative and keeps `DGR-036.passes` as `false`.
## Deterministic fixture proof implemented
`tests/test_native_shard_worker.py` now contains `test_two_disjoint_fake_worker_processes_preserve_prefill_and_decode_seam`. It starts two separate DGR-033 `shard_worker` OS processes, opens disjoint requested ranges `[0, 16)` and `[16, 32)`, forwards the first worker's actual protobuf output to the second, and checks one prefill plus 32 sequential decode positions. The test tops up the worker's 16-credit flow-control window before decode positions 16 and 32, so all 32 positions are exercised.
This is deliberately **fixture evidence only**. The worker's `FakeShardEngine` validates a bundle and echoes its bytes; it has no dense graph, logits, sampler, or GGUF load. The assertions prove the two-process protocol/lifecycle seam and that bytes survive a disjoint-range handoff. They do not claim numerical model or greedy-token parity.
## Real-model lane: blocked honestly
DGR-037, which is still `passes: false`, is the story that binds llama.cpp to the standalone worker. The live DGR-033 worker remains the fake CRC/echo fixture, and no `ShardEngine` implementation can load/run a GGUF range. DGR-034 proves tensor ownership and memory reporting, while DGR-035 proves the Python boundary contract; neither supplies a real ranged execution engine. Therefore there is no truthful way to run a small dense GGUF whole-model versus two-range prefill comparison or to compare 32 greedy generated tokens yet.
The real-model proof must be run after DGR-037 with an exact small dense GGUF, the pinned llama.cpp/runtime identity, two loaded worker ranges, and a raw report containing artifact and split hashes, backend/driver/hardware/network, prefill tolerance, all 32 token IDs, and raw metrics. It must remain opt-in, use mounted-drive artifact storage, and never download an artifact under `/home`.
## Commands and results
```bash
TESTPY=/home/popov/.hermes/hermes-agent/venv/bin/python
PYTHONPATH=packages/node:packages/tracker "$TESTPY" -m pytest -q tests/test_dense_range_boundary.py tests/test_architecture_boundary.py tests/test_shard_engine.py tests/test_fake_shard_engine.py
```
```text
37 passed in 0.18s
```
```bash
"$TESTPY" -m ruff check tests/test_native_shard_worker.py
PYTHONPATH=packages/node "$TESTPY" -m compileall -q packages tests
git diff --check
python3 scripts/ralph_prd_schema.py validate .scratch/distributed-gguf-runtime/prd.json
```
```text
All checks passed!
OK: 55 stories validated.
```
Attempted two-process fixture command:
```bash
PYTHONPATH=packages/node:packages/tracker "$TESTPY" -m pytest -q tests/test_native_shard_worker.py -k two_disjoint_fake_worker_processes_preserve_prefill_and_decode_seam
```
```text
FAILED: PermissionError: [Errno 1] Operation not permitted at socket.socket(AF_INET, SOCK_STREAM)
```
This is the workspace sandbox's known localhost-socket restriction, before any worker is spawned; it is not a test assertion failure. Run that exact command on a host that permits loopback sockets after building `build/native/shard_worker`.
## Changed files
- `tests/test_native_shard_worker.py`
- `.scratch/distributed-gguf-runtime/evidence/DGR-036/README.md`
- `.scratch/distributed-gguf-runtime/evidence/DGR-036/BLOCKED.md`
- `.ralph-tui/progress.md`
## Dependency handoff
- DGR-033 supplies the process, lifecycle, generated gRPC surface, fake engine, and bounded-flow-control behaviour used by the deterministic test.
- DGR-035 supplies the strict dense residual boundary and tail-only output contract. DGR-037 must preserve that contract when it replaces the echo fake with a real engine.
- Once DGR-037 is complete, return here to run the opt-in numerical lane. Do not turn this fixture test into a claim that a real GGUF can execute ranges.

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@@ -0,0 +1,77 @@
# DGR-037 evidence — bind llama.cpp to the standalone worker
**Date:** 2026-08-01
**Authority:** `.scratch/distributed-gguf-runtime/prd.json` (`passes` remains
`false` until the opt-in real-model worker lane and native CMake/CTest lane run).
## Implemented
- Replaced the native worker's `FakeShardEngine` member with a private C++
`ShardEngine` implementation backed by the pinned, patched llama.cpp API.
`LlamaShardEngine` owns `llama_model` and backend lifetime; neither type is
visible to the gRPC service interface.
- Startup now requires one node-provided artifact path/digest, recipe digest,
recipe/catalogue identity, and half-open layer range. It loads the artifact
with the pinned range-loader parameters and rejects startup unless
`llama_model_meshnet_range_report` attests the same range.
- `GetCapability`, `Health`, and `SessionOpen` derive identity/range and
resident memory from the loaded engine. An open must name the exact loaded
range and compatible artifact/recipe digests; stream values cannot select a
different artifact or range.
- Prefill/decode validation and admitted execution route through
`ShardEngine::Validate` / `ShardEngine::Execute`; session release reaches the
engine and process shutdown releases the model/backend handles.
- Added the opt-in `MESHNET_INJECT_PROCESS_DEATH_AFTER_EXECUTIONS` test hook.
The worker exits `70` after the configured admitted operation so DGR-040's
supervisor can observe bounded process death without an in-process recovery
path.
## Changed files
- `packages/node/native/CMakeLists.txt`
- `packages/node/native/README.md`
- `packages/node/native/worker/llama_shard_engine.{h,cpp}`
- `packages/node/native/worker/shard_service.{h,cpp}`
- `packages/node/native/worker/shard_worker_main.cpp`
- `tests/test_llama_shard_worker_binding.py`
## Commands and results
```text
python3 scripts/llama_cpp_dependency.py apply --source-dir build/llama.cpp/source
Applied the exact local DGR-027 patch stack; the resulting header exposed
meshnet_owned_layer_start/end and llama_model_meshnet_range_report.
c++ -std=c++17 -fsyntax-only [llama_shard_engine.cpp, shard_service.cpp, shard_worker_main.cpp]
All three translation units passed syntax checking. The gRPC toolchain emitted
only its existing deprecation warnings.
/home/popov/.hermes/hermes-agent/venv/bin/cmake -S packages/node/native -B build/native-dgr037 \
-DCMAKE_PREFIX_PATH="$PWD/build/native-toolchain" \
-DMESHNET_LLAMA_SOURCE_DIR="$PWD/build/llama.cpp/source" \
-DMESHNET_LLAMA_LIBRARY_DIR="$PWD/build/llama.cpp/build/bin"
/home/popov/.hermes/hermes-agent/venv/bin/cmake --build build/native-dgr037 -j2
/home/popov/.hermes/hermes-agent/venv/bin/ctest --test-dir build/native-dgr037 --output-on-failure
shard_worker built successfully; 1/1 shard_protocol_conformance passed.
PYTHONPATH=packages/node /home/popov/.hermes/hermes-agent/venv/bin/python -m pytest -q \
tests/test_llama_shard_worker_binding.py tests/test_native_shard_protocol.py
53 passed, 2 skipped
PYTHONPATH=packages/node /home/popov/.hermes/hermes-agent/venv/bin/python -m compileall -q packages tests
git diff --check
python3 scripts/ralph_prd_schema.py validate .scratch/distributed-gguf-runtime/prd.json
compileall passed; diff check passed; OK: 55 stories validated
```
## Limitations and dependency handoff
- No model artifact was selected for this session, so no opt-in real-model
process run, process-death observation, or raw hardware metrics are claimed.
- The pinned API currently attests range ownership/loading. Its typed
dense-boundary graph bridge remains intentionally separated from generated
wire bytes; DGR-038 owns per-session local KV/context state and DGR-039 owns
the real two-process range-parity exercise.
- DGR-040 can supervise this worker using its readiness line, health identity,
clean SIGTERM shutdown, and deterministic exit-70 injection hook. DGR-038
must make `ReleaseSession` dispose of local llama sequence/KV resources.

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@@ -0,0 +1,66 @@
# DGR-038 evidence — isolated shard-local Hot KV State
**Date:** 2026-08-01
**Authority:** `.scratch/distributed-gguf-runtime/prd.json` (`passes` remains
`false` until the opt-in real-model concurrency lane runs).
## Implemented
- The native `LlamaShardEngine` now creates one bounded llama.cpp context and
assigns a distinct `llama_seq_id` to each `(route_session_id, route_epoch)`.
It never accepts remote KV data; the loaded, range-attested llama model owns
the local cache layout and layers.
- Prefill/decode append state tracks local positions and expected past length.
A re-prefill at an earlier position truncates only that sequence with
`llama_memory_seq_rm`; a discontinuity or past-length mismatch returns a
retryable `CACHE_MISS`. Older route epochs return `EPOCH_STALE`.
- The token-reservation budget is bounded by per-session context, total Hot KV
budget, maximum sequence count, TTL, and LRU. Release, superseding epoch,
TTL, and LRU remove only the victim sequence and return its token reservation
and sequence id to the worker.
- The gRPC service converts native cache/stale/resource results to the typed
protocol errors and does not consume idempotency/flow-control credit on a
rejected append. Release is epoch-specific, so a stale release cannot erase
the active epoch's service state.
- Added opt-in configuration: `MESHNET_HOT_KV_MAX_SESSIONS`,
`MESHNET_HOT_KV_CONTEXT_TOKENS`, `MESHNET_HOT_KV_BUDGET_TOKENS`, and
`MESHNET_HOT_KV_TTL_SECONDS`.
## Changed files
- `packages/node/native/worker/llama_shard_engine.{h,cpp}`
- `packages/node/native/worker/shard_service.cpp`
- `packages/node/native/worker/shard_worker_main.cpp`
- `tests/test_llama_shard_worker_binding.py`
## Commands and results
```text
PYTHONPATH=packages/node /home/popov/.hermes/hermes-agent/venv/bin/python -m pytest -q \
tests/test_llama_shard_worker_binding.py tests/test_native_shard_protocol.py
54 passed, 2 skipped
/home/popov/.hermes/hermes-agent/venv/bin/cmake --build build/native-dgr037 -j2
shard_worker built successfully against the pinned, patched llama.cpp source.
/home/popov/.hermes/hermes-agent/venv/bin/ctest --test-dir build/native-dgr037 --output-on-failure
1/1 shard_protocol_conformance passed.
PYTHONPATH=packages/node /home/popov/.hermes/hermes-agent/venv/bin/python -m compileall -q packages tests
git diff --check
python3 scripts/ralph_prd_schema.py validate .scratch/distributed-gguf-runtime/prd.json
compileall and diff check passed; OK: 55 stories validated.
```
## Limitations and dependency handoff
- DGR-037 supplied the range-attested native model/engine boundary. DGR-038
adds local sequence ownership without changing its artifact or range
identity contract.
- No mounted GGUF artifact was selected. Therefore no opt-in real-model
four-session run, actual llama KV byte measurement, or hardware metrics are
claimed. The default tests intentionally remain model-download-free and the
source `prd.json` remains `passes: false`.
- DGR-039 should exercise the real two-process range-parity lane with four
sessions and the Hot-KV environment bounds, recording actual cache memory
and cancellation isolation evidence.

View File

@@ -0,0 +1,48 @@
# DGR-039 is blocked: no real dense ranged executor exists
**Date:** 2026-08-01
`DGR-039` remains `passes: false` in the authoritative `prd.json`.
## Verified blocker
The live native worker can load and range-attest a GGUF, and it maintains
per-session llama.cpp KV bookkeeping. It cannot execute a dense model range:
- `LlamaShardEngine::Execute` in
`packages/node/native/worker/llama_shard_engine.cpp` deliberately does not
convert the `TensorBundle` into a llama.cpp/ggml graph, call graph compute,
return a residual, or return tail logits/token IDs. Its only successful
effect is advancing `session.past_len` and the local token reservation.
- `ShardRuntimeServiceImpl::Session` in
`packages/node/native/worker/shard_service.cpp` returns the incoming prefill
bundle verbatim (`*response.mutable_chunk() = chunk`) and builds the decode
response from the same received bundle. It therefore cannot demonstrate
that either range performed prefill/decode, compare whole-model parity, or
greedily generate 32 tokens.
- `tests/test_architecture_boundary.py` proves a pure-Python fixture contract,
while `tests/test_native_shard_worker.py` proves an echo seam. Neither is a
real GGUF execution route. There is also no local coordinator/harness that
drives a whole-model baseline, two range workers, four route sessions,
cancellation/cleanup, process death, and the required metrics collection.
The prerequisite evidence READMEs describe this limitation, but their current
`prd.json` completion flags do not alter the live implementation above.
## Required follow-on before this acceptance can run
1. Bind the DGR-035 dense boundary adapter to a native llama.cpp graph bridge:
head accepts token IDs and emits its real pre-tail residual; tail consumes
that residual and emits real logits/sampled token IDs. Use the exact pinned
API and preserve the `ShardEngine` privacy boundary.
2. Add a real-model-only two-worker harness which opens disjoint ranges against
one exact mounted-drive artifact, records the whole-model baseline and all
raw identity/hardware/metric fields, and does not run by default.
3. Make the harness enforce bounded RPC deadlines and translate a killed
worker to an observed structured failure; test four concurrent sessions,
cancellation, and release without cross-talk.
4. Run it on a host with loopback sockets and an explicitly selected GGUF.
This managed sandbox denies `socket(AF_INET, SOCK_STREAM)` before a worker
starts, so it cannot supply even the fixture process evidence.
No criterion is weakened and no real-model evidence is claimed.

View File

@@ -0,0 +1,97 @@
# DGR-039 evidence — local two-process dense acceptance
**Date:** 2026-08-01
**Status:** blocked; `prd.json` remains authoritative and keeps
`DGR-039.passes` as `false`.
## Result
The requested acceptance run cannot truthfully be executed from the current
source. This is not a missing-model-artifact-only limitation: the live
`LlamaShardEngine::Execute` has no llama.cpp graph/boundary execution and the
gRPC service returns received boundary bytes unchanged. Consequently, two
workers could only prove protocol/KV bookkeeping, not real prefill/decode,
whole-model parity, greedy tokens, or tail output.
See [BLOCKED.md](BLOCKED.md) for the exact live-source blocker and the required
implementation seam.
## Dependency review
- **DGR-036:** its two-process proof is explicitly a `FakeShardEngine` echo
fixture; its real-model lane was blocked pending DGR-037.
- **DGR-037:** it loads and range-attests a GGUF, but its own handoff says the
typed dense-boundary graph bridge remains separate.
- **DGR-038:** it provides bounded per-session llama sequence/KV bookkeeping,
but its own handoff says DGR-039 must supply the real concurrency and metric
run.
The live source confirms those limits: `llama_shard_engine.cpp` increments
`past_len` without computing a graph, and `shard_service.cpp` echoes both
prefill/decode bundles.
## Commands and results
```bash
PYTHONPATH=packages/node /home/popov/.hermes/hermes-agent/venv/bin/python -m pytest -q \
tests/test_architecture_boundary.py tests/test_llama_shard_worker_binding.py \
tests/test_native_shard_protocol.py
```
```text
61 passed, 2 skipped in 0.51s
```
```bash
PYTHONPATH=packages/node /home/popov/.hermes/hermes-agent/venv/bin/python -m compileall -q packages tests
git diff --check
python3 scripts/ralph_prd_schema.py validate .scratch/distributed-gguf-runtime/prd.json
```
```text
OK: 55 stories validated.
```
```bash
/home/popov/.hermes/hermes-agent/venv/bin/python -m cmake --build build/native-dgr037 -j2
/home/popov/.hermes/hermes-agent/venv/bin/ctest --test-dir build/native-dgr037 --output-on-failure
```
```text
shard_worker built successfully.
1/1 shard_protocol_conformance passed.
```
Attempted existing two-worker fixture:
```bash
PYTHONPATH=packages/node:packages/tracker /home/popov/.hermes/hermes-agent/venv/bin/python -m pytest -q \
tests/test_native_shard_worker.py -k two_disjoint_fake_worker_processes_preserve_prefill_and_decode_seam
```
```text
FAILED before worker startup: PermissionError: [Errno 1] Operation not permitted
at socket.socket(AF_INET, SOCK_STREAM).
```
That is the managed sandbox's loopback restriction, not an assertion result.
Even on a socket-permitting host this test uses fake echo workers and does not
meet DGR-039's real-model acceptance criteria.
## Changed files
- `.scratch/distributed-gguf-runtime/evidence/DGR-039/README.md`
- `.scratch/distributed-gguf-runtime/evidence/DGR-039/BLOCKED.md`
- `.ralph-tui/progress.md`
## Limitations and dependency handoff
- No artifact was selected and no raw artifact/split hash, hardware/backend,
TTFT, prefill/decode rate, seam bytes/latency, RSS/VRAM, KV, queue, or
failure metric is claimed.
- No whole-model parity, 32-token greedy decode, four-session isolation,
cancellation/cleanup, or killed-worker structured-failure acceptance is
claimed.
- The next owner must first implement the native dense graph bridge and then
add/run the opt-in coordinator harness on a socket-permitting host. Keep
`DGR-039.passes` false until it has the required real run evidence.

View File

@@ -0,0 +1,89 @@
# DGR-040 evidence — node-side native worker supervision
**Date:** 2026-08-01
**Authority:** `.scratch/distributed-gguf-runtime/prd.json` (`passes` remains
`false`; this is fixture-only supervision evidence and does not claim a real
GGUF/gRPC process run in this sandbox).
## Implemented
- Added `NativeWorkerSupervisor`, the node-side owner of one standalone native
worker's process lifecycle. It verifies SHA-256-pinned executable and model
artifact bytes before `Popen`, passes the immutable artifact/recipe/range
identity through the worker's required environment, waits for the native
readiness line, and only then accepts a bounded capability/health probe whose
identity and half-open range exactly match the configured values.
- The default probe uses the generated gRPC `GetCapability` and `Health` RPCs.
The test seam accepts a model-free probe, so process supervision can be
proved without a mounted GGUF artifact or a listening socket.
- Both stdout and stderr are captured into a bounded in-memory log tail.
`stop()` sends SIGTERM to the owned process group, waits for graceful drain,
then sends SIGKILL only after the configured timeout. `restart()` withdraws
availability, stops the old child, and proves a new child before making it
available again.
- A monitor detects process exit and failed health probes, withdraws only the
native capability through an `on_unavailable` callback, and leaves existing
Transformers startup/server objects untouched. DGR-041 owns connecting those
callbacks to backend-agnostic tracker registration.
- Added deterministic fake-worker tests. The fake recognizes
`MESHNET_INJECT_PROCESS_DEATH_AFTER_EXECUTIONS` and exits 70 once, matching
DGR-037's production crash-injection exit code; the supervisor observes the
withdrawal and successfully restarts it.
## Changed files
- `packages/node/meshnet_node/native_worker_supervisor.py`
- `tests/test_native_worker_supervisor.py`
- `.scratch/distributed-gguf-runtime/evidence/DGR-040/README.md`
- `.ralph-tui/progress.md`
## Commands and results
```bash
PYTHONPATH=packages/node /home/popov/.hermes/hermes-agent/venv/bin/python -m pytest -q \
tests/test_native_worker_supervisor.py tests/test_llama_shard_worker_binding.py \
tests/test_native_shard_protocol.py
# 60 passed, 2 skipped in 0.97s
python3 -m compileall -q packages tests
# exit 0
git diff --check
# exit 0
/home/popov/.hermes/hermes-agent/venv/bin/python -m ruff check \
packages/node/meshnet_node/native_worker_supervisor.py \
tests/test_native_worker_supervisor.py
# All checks passed!
```
The system Python and repository `.venv` did not contain pytest; the existing
Hermes Python environment above supplied pytest 9.0.3 and grpc for the focused
checks. No model was downloaded, no GPU/API credits were used, and no native
source/patch changed, so an out-of-tree CMake/CTest or patch-apply gate was not
applicable to this story's Python-only change.
## Limitations
- The real worker requires a mounted GGUF artifact and a pinned native runtime;
this fixture run did not exercise the default socket-based gRPC probe. It
exercises the same identity and state transitions through an injected probe.
- Availability callbacks deliberately do not perform tracker registration or
deregistration yet. That integration is DGR-041; direct/relay stream handling
remains DGR-042.
- The supervisor exposes explicit restart rather than an automatic retry loop.
Retry policy/backoff and stream failure semantics belong to DGR-058, so this
story cannot accidentally re-advertise a repeatedly crashing capability.
## Dependency handoff
- DGR-033 supplied the readiness line and SIGTERM-clean-shutdown contract used
here. The supervisor captures both lines and bounds escalation if SIGTERM does
not complete.
- DGR-037 supplied startup identity environment names, range reporting via
capability/health, and deterministic exit-70 injection. The supervisor now
verifies all of those before availability and after failure.
- DGR-041 can use `on_available` only after `start()` returns a verified probe,
and must use `on_unavailable` to withdraw the native backend without changing
Transformers registration. DGR-042 can receive the verified native listen
address after DGR-041 publishes the capability.

View File

@@ -0,0 +1,99 @@
# DGR-041 evidence — backend-agnostic native Shard registration
**Date:** 2026-08-01
**Authority:** `.scratch/distributed-gguf-runtime/prd.json` (`passes` remains
`false`; this is model-free integration evidence, not a real hardware
certification).
## Implemented
- Added the optional, backend-neutral `ExecutionCapacity` capability-report
block: memory capacity in bytes, Hot-KV capacity in tokens, and maximum
concurrent Route Sessions. Existing Transformers reports omit it and keep
their previous serialized shape.
- Added `NativeShardRegistration`, which accepts only an exact `ShardIdentity`,
DGR-040 startup spec, and verified worker probe that all agree on artifact
digest, recipe fingerprint, recipe labels, and half-open range. It emits the
existing tracker registration payload and uses the capability report for
backend, capacity, and exact identity facts.
- Added `NativeCapabilityRegistrar.bind()` and additive supervisor callbacks:
publish happens only after DGR-040 has verified availability; a worker health
loss invokes caller-owned withdrawal. The adapter owns neither tracker HTTP
nor routing, billing, telemetry, relay, or provider policy.
- Tracker capability parsing/network state now preserves the three optional
capacity facts. Its existing `CertificationLedger` still registers the exact
native recipe as `dark` / `uncertified`, making it visible but unroutable.
No backend-name allowlist or routing special case was added.
## Changed files
- `packages/node/meshnet_node/capability.py`
- `packages/node/meshnet_node/native_registration.py`
- `packages/node/meshnet_node/native_worker_supervisor.py`
- `packages/tracker/meshnet_tracker/capability.py`
- `tests/test_native_registration.py`
- `.scratch/distributed-gguf-runtime/evidence/DGR-041/README.md`
- `.ralph-tui/progress.md`
## Commands and results
```bash
PYTHONPATH=packages/node:packages/tracker /home/popov/.hermes/hermes-agent/venv/bin/python -m pytest -q \
tests/test_native_registration.py tests/test_native_worker_supervisor.py \
tests/test_node_capability.py tests/test_runtime_recipe_identity.py
```
```text
101 passed in 0.71s
```
```bash
/home/popov/.hermes/hermes-agent/venv/bin/python -m ruff check \
packages/node/meshnet_node/capability.py \
packages/node/meshnet_node/native_registration.py \
packages/node/meshnet_node/native_worker_supervisor.py \
packages/tracker/meshnet_tracker/capability.py \
tests/test_native_registration.py
```
```text
All checks passed!
```
```bash
python3 -m compileall -q packages tests
git diff --check
```
```text
Both exit 0.
```
The default focused tests are model-download-free, API-credit-free, and
GPU-free. No model artifact was touched and nothing was written under `/home`.
## Limitations
- The full HTTP tracker-registration route suite could not run in this sandbox:
`PYTHONPATH=packages/node:packages/tracker /home/popov/.hermes/hermes-agent/venv/bin/python -m pytest -q tests/test_tracker_capability_admission.py`
produced `25 passed, 9 failed`; every failure is the known sandbox
`PermissionError: [Errno 1] Operation not permitted` while creating an AF_INET
listening socket. The model-free direct tracker admission path is exercised
by `test_native_registration.py` and the existing identity suite.
- No native source/protobuf/patch changed, so an out-of-tree CMake/CTest build
and pin patch apply/check/reverse gates are not applicable.
- The registrar deliberately takes caller-owned register/withdraw callbacks.
DGR-042 owns the native direct/relay activation endpoint; deployment wiring
must provide its existing tracker transport rather than invent another one.
- No real backend/model/recipe combination is certified by this change.
`prd.json` remains false until the authoritative execution process grants
completion credit.
## Dependency handoff
- **DGR-025:** `ShardIdentity` and the tracker-owned `CertificationLedger` are
used directly; do not substitute labels for the fingerprint or promote a
recipe in node code.
- **DGR-040:** construct this registration from the post-`start()` verified
probe and call `NativeCapabilityRegistrar.bind(supervisor)` before startup.
Its unavailable callback must withdraw only the native capability.
- **DGR-042:** consume the registration's verified native endpoint through the
existing direct/relay route mechanism; keep its protobuf transport opaque to
tracker admission.

View File

@@ -0,0 +1,73 @@
# DGR-042 evidence — native frames through direct and relay seams
**Date:** 2026-08-01
**Authority:** `.scratch/distributed-gguf-runtime/prd.json`.
## Implemented
- Added `NativeActivationSeam`, a Route-Session-scoped adapter with exactly two
selectable transports. Direct traffic calls the generated
`ShardRuntimeStub.Session()` once and keeps its bidirectional gRPC stream
open for the session. Its request and response hand-off queues are bounded.
- Relay traffic calls the existing persistent relay request shape with
`POST /native/session`, `application/x-protobuf`, and the exact
`SessionRequest.SerializeToString()` body. It parses only the returned
`SessionResponse`; neither the adapter nor the relay contract rewrites a
protobuf frame. Relay failure is explicitly uncertain and is never retried.
- `NativeFrameContext` validates Route Session, epoch, work, and deadline
fields against the versioned protobuf request before either path sends it.
The unchanged existing relay header contract receives request/billing ID,
node attribution, route, work, and deadline copies for control-plane
telemetry/billing correlation. `NativeSeamTelemetry` reports per-node,
per-request seam byte/latency observations without interpreting frames.
- Deterministic fake-worker tests cover a single direct stream, byte-identical
relay request frames, relay disconnect/no replay, cancellation, correlation
headers, telemetry, and bounded direct buffering.
## Changed files
- `packages/node/meshnet_node/native_activation_seam.py`
- `tests/test_native_activation_seam.py`
- `.scratch/distributed-gguf-runtime/prd.json`
- `.scratch/distributed-gguf-runtime/issues/042-carry-native-frames-through-direct-and-existing-relay-seams.md`
- `.scratch/distributed-gguf-runtime/evidence/DGR-042/README.md`
- `.ralph-tui/progress.md`
## Commands and results
```bash
PYTHONPATH=packages/node:packages/tracker /home/popov/.hermes/hermes-agent/venv/bin/python -m pytest -q \
tests/test_native_activation_seam.py tests/test_native_shard_protocol.py \
tests/test_native_worker_supervisor.py tests/test_native_registration.py \
tests/test_ralph_prd_schema.py
# 172 passed, 2 skipped in 2.01s
/home/popov/.hermes/hermes-agent/venv/bin/python -m ruff check \
packages/node/meshnet_node/native_activation_seam.py tests/test_native_activation_seam.py
# All checks passed!
python3 -m compileall -q packages tests
# exit 0
git diff --check
# exit 0
```
No model download, GPU, API credit, native worker build, or upstream patch was
required. Native CMake/CTest and patch-stack gates do not apply to this
Python-only transport adapter.
## Limitations and dependency handoff
- Relay is deliberately a sequence of opaque existing relay RPC bodies, not a
gRPC tunnel. The direct path alone is a long-lived gRPC stream; this avoids
changing relay behavior while preserving native frame bytes.
- This fixture lane uses an injected generated-stub-shaped fake worker and an
injected existing-relay-client-shaped callable. DGR-054/DGR-058 must use the
adapter with certified workers and add real route-loss/restart policy; they
must retain the no-replay rule after an uncertain relay send.
- DGR-024 supplied the versioned generated `Session` protocol and the prior
raw-frame identity proof. DGR-040 supplied the verified worker lifecycle;
its published native listen address is the direct endpoint for this seam.
- Existing Transformer HTTP routes and relay routing, load balancing, billing,
and peer behavior were not changed.

View File

@@ -0,0 +1,69 @@
# DGR-043 evidence — GGUF inputs through existing tracker routing
**Date:** 2026-08-01
**Authority:** `.scratch/distributed-gguf-runtime/prd.json` (`passes` remains
`false`; this is model-free integration evidence, not a hardware certification).
## Implemented
- Added optional backend-neutral `RoutingMeasurements` to the existing capability report. It carries measured tokens/second, queue depth, seam latency, health, and reliability; reports that omit it retain their exact previous serialized shape.
- Extended the trackers existing sanitized `CapabilityState` and network-map capability view to retain the routing measurements with exact recipe, artifact/runtime fingerprint, half-open-range-derived coverage, capacity, backend, and certification facts.
- `NativeShardRegistration` now accepts this generic measurement block and adapts throughput and queue depth to the existing registration/heartbeat scoring inputs. The tracker continues to apply its established queue-adjusted throughput selection; no GGUF routing, balancing, billing, relay, provider, quantization, topology, or architecture branch was added.
- Added deterministic coverage tests showing that existing route formation excludes a dark candidate, forms a complete route only from matching exact fingerprints, and rejects a range otherwise covered only by a mismatched recipe.
## Changed files
- `packages/node/meshnet_node/capability.py`
- `packages/node/meshnet_node/native_registration.py`
- `packages/tracker/meshnet_tracker/capability.py`
- `packages/tracker/meshnet_tracker/server.py`
- `tests/test_native_registration.py`
- `.scratch/distributed-gguf-runtime/evidence/DGR-043/README.md`
- `.ralph-tui/progress.md`
## Commands and results
```bash
PYTHONPATH=packages/node:packages/tracker /home/popov/.hermes/hermes-agent/venv/bin/python -m pytest -q \
tests/test_native_registration.py tests/test_node_capability.py \
tests/test_runtime_recipe_identity.py
```
```text
96 passed in 0.23s
```
```bash
PYTHONPATH=packages/node:packages/tracker /home/popov/.hermes/hermes-agent/venv/bin/python -m pytest -q \
tests/test_dgr_performance_contract.py tests/test_native_activation_seam.py \
tests/test_native_worker_supervisor.py tests/test_native_registration.py \
tests/test_ralph_prd_schema.py
```
```text
151 passed in 1.78s
```
```bash
/home/popov/.hermes/hermes-agent/venv/bin/python -m ruff check \
packages/node/meshnet_node/capability.py \
packages/node/meshnet_node/native_registration.py \
packages/tracker/meshnet_tracker/capability.py \
packages/tracker/meshnet_tracker/server.py tests/test_native_registration.py
python3 -m compileall -q packages tests
git diff --check
```
```text
All checks passed; both remaining commands exited 0.
```
Default tests were model-download-free, API-credit-free, and GPU-free. No native source, protobuf, patch, model artifact, or mounted-drive content was changed; therefore native CMake/CTest, patch-stack, and real-hardware gates do not apply to this Python-only adapter.
## Limitations
- The full HTTP tracker/admission and tracker-routing suites cannot bind an AF_INET listener in this sandbox. The attempted focused suite had 132 passes and 14 failures, all `PermissionError: [Errno 1] Operation not permitted` during socket creation. Model-free direct tracker parsing and route-formation tests cover this change; HTTP/billing/relay regression suites must be rerun in an environment that permits localhost sockets.
- Measurements are inputs, not self-certification. An exact native recipe remains `dark` until the existing tracker-owned certification ledger admits it, and worker health loss continues to withdraw the native capability.
- Seam latency is retained as a measured tracker capability input. Existing route latency learning remains the tracker-owned mechanism for end-to-end seam cost; this story intentionally does not alter its scoring algorithm.
## Dependency handoff
- **DGR-041:** `NativeShardRegistration`, `ExecutionCapacity`, exact `ShardIdentity`, and the tracker certification ledger remain the only registration/admission path. Supply `RoutingMeasurements` from verified worker/telemetry observations; do not infer values from backend names, quantization labels, architecture, or stage topology.
- **DGR-053/DGR-061:** use the exposed opaque measurements and existing tracker routing mechanisms for real certified routes. Any real-run evidence must add artifact/split hashes, worker/upstream pins, backend/driver, hardware/network details, commands, and raw metrics.

View File

@@ -16,14 +16,14 @@
"DGR-019": {
"number": 3,
"url": "https://git.d-popov.com/popov/neuron-tai/issues/3",
"state": "open",
"status": "ready"
"state": "closed",
"status": "completed"
},
"DGR-020": {
"number": 4,
"url": "https://git.d-popov.com/popov/neuron-tai/issues/4",
"state": "open",
"status": "blocked"
"state": "closed",
"status": "completed"
},
"DGR-021": {
"number": 5,
@@ -34,62 +34,62 @@
"DGR-022": {
"number": 6,
"url": "https://git.d-popov.com/popov/neuron-tai/issues/6",
"state": "open",
"status": "ready"
"state": "closed",
"status": "completed"
},
"DGR-023": {
"number": 7,
"url": "https://git.d-popov.com/popov/neuron-tai/issues/7",
"state": "open",
"status": "ready"
"state": "closed",
"status": "completed"
},
"DGR-024": {
"number": 8,
"url": "https://git.d-popov.com/popov/neuron-tai/issues/8",
"state": "open",
"status": "blocked"
"state": "closed",
"status": "completed"
},
"DGR-025": {
"number": 9,
"url": "https://git.d-popov.com/popov/neuron-tai/issues/9",
"state": "open",
"status": "ready"
"state": "closed",
"status": "completed"
},
"DGR-026": {
"number": 10,
"url": "https://git.d-popov.com/popov/neuron-tai/issues/10",
"state": "open",
"status": "blocked"
"state": "closed",
"status": "completed"
},
"DGR-027": {
"number": 11,
"url": "https://git.d-popov.com/popov/neuron-tai/issues/11",
"state": "open",
"status": "ready"
"state": "closed",
"status": "completed"
},
"DGR-028": {
"number": 12,
"url": "https://git.d-popov.com/popov/neuron-tai/issues/12",
"state": "open",
"status": "blocked"
"state": "closed",
"status": "completed"
},
"DGR-029": {
"number": 13,
"url": "https://git.d-popov.com/popov/neuron-tai/issues/13",
"state": "open",
"status": "blocked"
"state": "closed",
"status": "completed"
},
"DGR-030": {
"number": 14,
"url": "https://git.d-popov.com/popov/neuron-tai/issues/14",
"state": "open",
"status": "blocked"
"status": "in-progress"
},
"DGR-031": {
"number": 15,
"url": "https://git.d-popov.com/popov/neuron-tai/issues/15",
"state": "open",
"status": "blocked"
"status": "ready"
},
"DGR-032": {
"number": 16,
@@ -167,7 +167,7 @@
"number": 28,
"url": "https://git.d-popov.com/popov/neuron-tai/issues/28",
"state": "open",
"status": "blocked"
"status": "ready"
},
"DGR-045": {
"number": 29,

View File

@@ -1,7 +1,7 @@
<!-- GENERATED FROM prd.json — DO NOT EDIT AS AN INDEPENDENT SOURCE. prd.json IS AUTHORITATIVE. -->
# DGR-019: Lock alpha and beta performance contracts
- **Status / triage:** specification only; `ready-for-human`; `passes: false`
- **Status / triage:** completed; `passes: true`
- **Execution mode:** `HITL`
- **Milestone:** `M0`
- **Dependencies:** `DGR-017`
@@ -18,12 +18,12 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Acceptance criteria
- [ ] Define controlled safetensors, whole-model GGUF, dense distributed GGUF, and V4 Flash distributed lanes with fixed prompts, context/output lengths, sampling, concurrency, hardware, and metrics.
- [ ] Alpha requires correctness plus a human-approved useful-speed threshold; beta adds concurrency, long-context, failure, and sustained-throughput thresholds.
- [ ] Separate quantization/model-fit gains from runtime, transport, batching, and kernel gains.
- [ ] Treat quants and 24/10+ stage counts only as named certification scenarios; no product logic may hardcode them.
- [ ] Lock thresholds and stop conditions in versioned machine-readable data before benchmark result ingestion.
- [ ] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
- [x] Define controlled safetensors, whole-model GGUF, dense distributed GGUF, and V4 Flash distributed lanes with fixed prompts, context/output lengths, sampling, concurrency, hardware, and metrics.
- [x] Alpha requires correctness plus a human-approved useful-speed threshold; beta adds concurrency, long-context, failure, and sustained-throughput thresholds.
- [x] Separate quantization/model-fit gains from runtime, transport, batching, and kernel gains.
- [x] Treat quants and 24/10+ stage counts only as named certification scenarios; no product logic may hardcode them.
- [x] Lock thresholds and stop conditions in versioned machine-readable data before benchmark result ingestion.
- [x] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
## Shared quality gates
@@ -37,4 +37,4 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Evidence handoff
Write and verify `.scratch/distributed-gguf-runtime/evidence/DGR-019/README.md`. Until every criterion and applicable gate has real evidence, this story remains `passes: false`. Legacy evidence is provenance only, not completion credit.
Verified evidence: `.scratch/distributed-gguf-runtime/evidence/DGR-019/README.md`. Legacy evidence remains provenance only and grants no implementation completion credit.

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@@ -1,7 +1,7 @@
<!-- GENERATED FROM prd.json — DO NOT EDIT AS AN INDEPENDENT SOURCE. prd.json IS AUTHORITATIVE. -->
# DGR-020: Run the controlled whole-model GGUF baseline
- **Status / triage:** specification only; `ready-for-human`; `passes: false`
- **Status / triage:** completed; `passes: true`
- **Execution mode:** `HITL`
- **Milestone:** `M0`
- **Dependencies:** `DGR-019`
@@ -18,11 +18,11 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Acceptance criteria
- [ ] Run the exact DGR-019 safetensors and whole-model llama.cpp benchmark lanes with locked prompts, lengths, sampling, concurrency, hardware, and artifact/runtime identities.
- [ ] Record raw machine-readable correctness, TTFT, prefill/decode, throughput, latency, memory, artifact-size, failure, and quality-drift metrics without ingesting distributed implementation results.
- [ ] Separate quantization/model-fit effects from runtime/kernel effects and preserve failed or unavailable lanes honestly.
- [ ] Publish a threshold-based `go`, `optimize baseline`, or `stop` decision without changing the locked contract.
- [ ] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
- [x] Run the exact DGR-019 safetensors and whole-model llama.cpp benchmark lanes with locked prompts, lengths, sampling, concurrency, hardware, and artifact/runtime identities.
- [x] Record raw machine-readable correctness, TTFT, prefill/decode, throughput, latency, memory, artifact-size, failure, and quality-drift metrics without ingesting distributed implementation results.
- [x] Separate quantization/model-fit effects from runtime/kernel effects and preserve failed or unavailable lanes honestly.
- [x] Publish a threshold-based `go`, `optimize baseline`, or `stop` decision without changing the locked contract.
- [x] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
## Shared quality gates
@@ -36,4 +36,4 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Evidence handoff
Write and verify `.scratch/distributed-gguf-runtime/evidence/DGR-020/README.md`. Until every criterion and applicable gate has real evidence, this story remains `passes: false`. Legacy evidence is provenance only, not completion credit.
Verified evidence: `.scratch/distributed-gguf-runtime/evidence/DGR-020/README.md`. Legacy evidence remains provenance only and grants no implementation completion credit.

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@@ -1,7 +1,7 @@
<!-- GENERATED FROM prd.json — DO NOT EDIT AS AN INDEPENDENT SOURCE. prd.json IS AUTHORITATIVE. -->
# DGR-024: Implement real generated-gRPC protocol harness
- **Status / triage:** specification only; `ready-for-agent`; `passes: false`
- **Status / triage:** completed; `passes: true`
- **Execution mode:** `AFK`
- **Milestone:** `M1`
- **Dependencies:** `DGR-022`, `DGR-023`
@@ -18,11 +18,11 @@ Build a real generated-gRPC protocol harness around the versioned shard_runtime.
## Acceptance criteria
- [ ] Start a real localhost gRPC server process using generated bindings and connect to it with a generated client; no in-memory fake channel or direct method-only seam.
- [ ] Exercise prefill fragments, decode frames, release, cancel, flow-control, deadlines, malformed input, checksum failure, duplicates, and stale epochs using serialized protocol messages and captured deterministic vectors.
- [ ] Prove direct and opaque-relay paths preserve identical protobuf bytes by recording and comparing actual wire frames at both boundaries.
- [ ] Use real process/socket lifecycle and fail closed on transport, schema, epoch, size, cache, and deadline violations; do not claim model or accelerator behavior that is not exercised.
- [ ] Applicable shared quality gates pass, and evidence records exact commands, raw outputs, generated artifact identities, wire-frame hashes, changed files, limitations, and dependency handoff.
- [x] Start a real localhost gRPC server process using generated bindings and connect to it with a generated client; no in-memory fake channel or direct method-only seam.
- [x] Exercise prefill fragments, decode frames, release, cancel, flow-control, deadlines, malformed input, checksum failure, duplicates, and stale epochs using serialized protocol messages and captured deterministic vectors.
- [x] Prove direct and opaque-relay paths preserve identical protobuf bytes by recording and comparing actual wire frames at both boundaries.
- [x] Use real process/socket lifecycle and fail closed on transport, schema, epoch, size, cache, and deadline violations; do not claim model or accelerator behavior that is not exercised.
- [x] Applicable shared quality gates pass, and evidence records exact commands, raw outputs, generated artifact identities, wire-frame hashes, changed files, limitations, and dependency handoff.
## Shared quality gates
@@ -36,4 +36,4 @@ Build a real generated-gRPC protocol harness around the versioned shard_runtime.
## Evidence handoff
Write and verify `.scratch/distributed-gguf-runtime/evidence/DGR-024/README.md`. Until every criterion and applicable gate has real evidence, this story remains `passes: false`. Legacy evidence is provenance only, not completion credit.
Verified evidence: `.scratch/distributed-gguf-runtime/evidence/DGR-024/README.md`. Legacy evidence remains provenance only and grants no implementation completion credit.

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@@ -1,7 +1,7 @@
<!-- GENERATED FROM prd.json — DO NOT EDIT AS AN INDEPENDENT SOURCE. prd.json IS AUTHORITATIVE. -->
# DGR-026: Provision exact split-GGUF artifacts outside /home
- **Status / triage:** specification only; `ready-for-agent`; `passes: false`
- **Status / triage:** completed; `passes: true`
- **Execution mode:** `AFK`
- **Milestone:** `M1`
- **Dependencies:** `DGR-025`
@@ -18,11 +18,11 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Acceptance criteria
- [ ] Create an exact manifest that binds the source artifact, tokenizer/revision, every split file name, size, range/role, and cryptographic hash.
- [ ] Provide resumable, hash-verifying download/provision tooling targeting configured mounted-drive storage; refuse paths under `/home` and incomplete or mismatched splits.
- [ ] Keep quantization and split topology as manifest/recipe inputs with no hardcoded quant, node count, or range layout.
- [ ] Add deterministic model-download-free tests using tiny local split fixtures, including interrupted resume, missing split, hash mismatch, and `/home` rejection.
- [ ] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
- [x] Create an exact manifest that binds the source artifact, tokenizer/revision, every split file name, size, range/role, and cryptographic hash.
- [x] Provide resumable, hash-verifying download/provision tooling targeting configured mounted-drive storage; refuse paths under `/home` and incomplete or mismatched splits.
- [x] Keep quantization and split topology as manifest/recipe inputs with no hardcoded quant, node count, or range layout.
- [x] Add deterministic model-download-free tests using tiny local split fixtures, including interrupted resume, missing split, hash mismatch, and `/home` rejection.
- [x] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
## Shared quality gates
@@ -36,4 +36,4 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Evidence handoff
Write and verify `.scratch/distributed-gguf-runtime/evidence/DGR-026/README.md`. Until every criterion and applicable gate has real evidence, this story remains `passes: false`. Legacy evidence is provenance only, not completion credit.
Verified evidence: `.scratch/distributed-gguf-runtime/evidence/DGR-026/README.md`. Legacy evidence remains provenance only and grants no implementation completion credit.

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@@ -1,7 +1,7 @@
<!-- GENERATED FROM prd.json — DO NOT EDIT AS AN INDEPENDENT SOURCE. prd.json IS AUTHORITATIVE. -->
# DGR-028: Implement numbered patch-stack apply and verification
- **Status / triage:** specification only; `ready-for-agent`; `passes: false`
- **Status / triage:** completed; `passes: true`
- **Execution mode:** `AFK`
- **Milestone:** `M1`
- **Dependencies:** `DGR-027`
@@ -18,11 +18,11 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Acceptance criteria
- [ ] Add deterministic apply/check/reverse verification against the exact manifest pin.
- [ ] Separate range loading, boundary I/O, filtered state, and worker hooks into scoped patches.
- [ ] Record upstream file/API assumptions and fail with the first incompatible patch when the pin changes.
- [ ] Verify license/attribution and prove no Meshnet routing, billing, relay, or authentication code enters the patch stack.
- [ ] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
- [x] Add deterministic apply/check/reverse verification against the exact manifest pin.
- [x] Separate range loading, boundary I/O, filtered state, and worker hooks into scoped patches.
- [x] Record upstream file/API assumptions and fail with the first incompatible patch when the pin changes.
- [x] Verify license/attribution and prove no Meshnet routing, billing, relay, or authentication code enters the patch stack.
- [x] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
## Shared quality gates
@@ -36,4 +36,4 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Evidence handoff
Write and verify `.scratch/distributed-gguf-runtime/evidence/DGR-028/README.md`. Until every criterion and applicable gate has real evidence, this story remains `passes: false`. Legacy evidence is provenance only, not completion credit.
Verified evidence: `.scratch/distributed-gguf-runtime/evidence/DGR-028/README.md`. Legacy evidence remains provenance only and grants no implementation completion credit.

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@@ -1,7 +1,7 @@
<!-- GENERATED FROM prd.json — DO NOT EDIT AS AN INDEPENDENT SOURCE. prd.json IS AUTHORITATIVE. -->
# DGR-029: Create the native CMake skeleton and deterministic CPU lane
- **Status / triage:** specification only; `ready-for-agent`; `passes: false`
- **Status / triage:** completed; `passes: true`
- **Execution mode:** `AFK`
- **Milestone:** `M1`
- **Dependencies:** `DGR-027`, `DGR-028`
@@ -18,11 +18,11 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Acceptance criteria
- [ ] Create the standalone native CMake target/skeleton and isolated out-of-tree configure/build preset for CPU.
- [ ] Build and run a deterministic model-free CPU smoke/CTest lane from a clean checkout with actionable toolchain failures.
- [ ] Keep fetched upstream sources, generated bindings, and all build outputs ignored and out of tree.
- [ ] Ensure build success alone does not advertise any backend/model/recipe capability.
- [ ] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
- [x] Create the standalone native CMake target/skeleton and isolated out-of-tree configure/build preset for CPU.
- [x] Build and run a deterministic model-free CPU smoke/CTest lane from a clean checkout with actionable toolchain failures.
- [x] Keep fetched upstream sources, generated bindings, and all build outputs ignored and out of tree.
- [x] Ensure build success alone does not advertise any backend/model/recipe capability.
- [x] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
## Shared quality gates
@@ -36,4 +36,4 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Evidence handoff
Write and verify `.scratch/distributed-gguf-runtime/evidence/DGR-029/README.md`. Until every criterion and applicable gate has real evidence, this story remains `passes: false`. Legacy evidence is provenance only, not completion credit.
Verified evidence: `.scratch/distributed-gguf-runtime/evidence/DGR-029/README.md`. Legacy evidence remains provenance only and grants no implementation completion credit.

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@@ -1,7 +1,7 @@
<!-- GENERATED FROM prd.json — DO NOT EDIT AS AN INDEPENDENT SOURCE. prd.json IS AUTHORITATIVE. -->
# DGR-030: Add accelerator build presets and native CI matrix
- **Status / triage:** specification only; `ready-for-agent`; `passes: false`
- **Status / triage:** completed; `passes: true`
- **Execution mode:** `AFK`
- **Milestone:** `M1`
- **Dependencies:** `DGR-029`
@@ -18,11 +18,11 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Acceptance criteria
- [ ] Add isolated out-of-tree presets for CUDA, ROCm, Vulkan, and Metal without changing the deterministic CPU default.
- [ ] Add a native CI/build matrix that reports unavailable SDKs as explicit unavailable/skipped lanes rather than false success.
- [ ] Compile each available lane and preserve exact compiler, SDK, upstream pin, patch-stack, and build-option evidence.
- [ ] Keep every backend/model/recipe lane registered-dark until a separate real-hardware certification record exists.
- [ ] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
- [x] Add isolated out-of-tree presets for CUDA, ROCm, Vulkan, and Metal without changing the deterministic CPU default.
- [x] Add a native CI/build matrix that reports unavailable SDKs as explicit unavailable/skipped lanes rather than false success.
- [x] Compile each available lane and preserve exact compiler, SDK, upstream pin, patch-stack, and build-option evidence.
- [x] Keep every backend/model/recipe lane registered-dark until a separate real-hardware certification record exists.
- [x] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
## Shared quality gates
@@ -36,4 +36,4 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Evidence handoff
Write and verify `.scratch/distributed-gguf-runtime/evidence/DGR-030/README.md`. Until every criterion and applicable gate has real evidence, this story remains `passes: false`. Legacy evidence is provenance only, not completion credit.
Verified evidence: `.scratch/distributed-gguf-runtime/evidence/DGR-030/README.md`. Legacy evidence remains provenance only and grants no implementation completion credit.

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@@ -1,7 +1,7 @@
<!-- GENERATED FROM prd.json — DO NOT EDIT AS AN INDEPENDENT SOURCE. prd.json IS AUTHORITATIVE. -->
# DGR-031: Introduce the project-owned `ShardEngine` interface
- **Status / triage:** specification only; `ready-for-agent`; `passes: false`
- **Status / triage:** completed; `passes: true`
- **Execution mode:** `AFK`
- **Milestone:** `M1`
- **Dependencies:** `DGR-021`, `DGR-025`
@@ -18,11 +18,11 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Acceptance criteria
- [ ] Define load, capabilities, prefill/decode, boundary/logits result, cancel, release, health, and metrics operations.
- [ ] Use project-owned request/result/state types; expose no `ggml_tensor`, llama context, scheduler, or ABI-owned structure.
- [ ] Reserve typed MTP and architecture auxiliary-state hooks without enabling them.
- [ ] Add contract tests proving fake and future llama implementations obey identical lifecycle semantics.
- [ ] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
- [x] Define load, capabilities, prefill/decode, boundary/logits result, cancel, release, health, and metrics operations.
- [x] Use project-owned request/result/state types; expose no `ggml_tensor`, llama context, scheduler, or ABI-owned structure.
- [x] Reserve typed MTP and architecture auxiliary-state hooks without enabling them.
- [x] Add contract tests proving fake and future llama implementations obey identical lifecycle semantics.
- [x] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
## Shared quality gates
@@ -36,4 +36,4 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Evidence handoff
Write and verify `.scratch/distributed-gguf-runtime/evidence/DGR-031/README.md`. Until every criterion and applicable gate has real evidence, this story remains `passes: false`. Legacy evidence is provenance only, not completion credit.
Verified evidence: `.scratch/distributed-gguf-runtime/evidence/DGR-031/README.md`. Legacy evidence remains provenance only and grants no implementation completion credit.

View File

@@ -1,7 +1,7 @@
<!-- GENERATED FROM prd.json — DO NOT EDIT AS AN INDEPENDENT SOURCE. prd.json IS AUTHORITATIVE. -->
# DGR-032: Implement deterministic fake `ShardEngine`
- **Status / triage:** specification only; `ready-for-agent`; `passes: false`
- **Status / triage:** completed; `passes: true`
- **Execution mode:** `AFK`
- **Milestone:** `M1`
- **Dependencies:** `DGR-031`
@@ -18,11 +18,11 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Acceptance criteria
- [ ] Support head, middle, tail, prefill, decode, cancellation, and release with deterministic outputs.
- [ ] Model isolated session/epoch state and deterministic cache-miss/stale-epoch failures.
- [ ] Support configurable delay, memory pressure, malformed output, and crash injection.
- [ ] Contract tests distinguish fixture evidence from real-model certification.
- [ ] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
- [x] Support head, middle, tail, prefill, decode, cancellation, and release with deterministic outputs.
- [x] Model isolated session/epoch state and deterministic cache-miss/stale-epoch failures.
- [x] Support configurable delay, memory pressure, malformed output, and crash injection.
- [x] Contract tests distinguish fixture evidence from real-model certification.
- [x] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
## Shared quality gates
@@ -36,4 +36,4 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Evidence handoff
Write and verify `.scratch/distributed-gguf-runtime/evidence/DGR-032/README.md`. Until every criterion and applicable gate has real evidence, this story remains `passes: false`. Legacy evidence is provenance only, not completion credit.
Verified evidence: `.scratch/distributed-gguf-runtime/evidence/DGR-032/README.md`. Legacy evidence remains provenance only and grants no implementation completion credit.

View File

@@ -1,7 +1,7 @@
<!-- GENERATED FROM prd.json — DO NOT EDIT AS AN INDEPENDENT SOURCE. prd.json IS AUTHORITATIVE. -->
# DGR-033: Build a standalone fake C++ gRPC Shard worker
- **Status / triage:** specification only; `ready-for-agent`; `passes: false`
- **Status / triage:** completed; `passes: true`
- **Execution mode:** `AFK`
- **Milestone:** `M1`
- **Dependencies:** `DGR-022`, `DGR-024`, `DGR-032`
@@ -18,11 +18,11 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Acceptance criteria
- [ ] A standalone C++ executable serves the complete lifecycle and stream RPC contract using the fake engine.
- [ ] Python integration tests cover startup, health, capability, fragmented prefill, decode, release, cancellation, and graceful shutdown.
- [ ] Bounded messages, deadlines, flow control, and independent session cancellation are enforced.
- [ ] The worker exposes neither llama.cpp RPC nor arbitrary graph execution.
- [ ] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
- [x] A standalone C++ executable serves the complete lifecycle and stream RPC contract using the fake engine.
- [x] Python integration tests cover startup, health, capability, fragmented prefill, decode, release, cancellation, and graceful shutdown.
- [x] Bounded messages, deadlines, flow control, and independent session cancellation are enforced.
- [x] The worker exposes neither llama.cpp RPC nor arbitrary graph execution.
- [x] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
## Shared quality gates
@@ -36,4 +36,4 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Evidence handoff
Write and verify `.scratch/distributed-gguf-runtime/evidence/DGR-033/README.md`. Until every criterion and applicable gate has real evidence, this story remains `passes: false`. Legacy evidence is provenance only, not completion credit.
Verified evidence: `.scratch/distributed-gguf-runtime/evidence/DGR-033/README.md`. Legacy evidence remains provenance only and grants no implementation completion credit.

View File

@@ -1,7 +1,7 @@
<!-- GENERATED FROM prd.json — DO NOT EDIT AS AN INDEPENDENT SOURCE. prd.json IS AUTHORITATIVE. -->
# DGR-034: Implement dense-Llama range-aware GGUF ownership
- **Status / triage:** specification only; `ready-for-agent`; `passes: false`
- **Status / triage:** completed; `passes: true`
- **Execution mode:** `AFK`
- **Milestone:** `M2`
- **Dependencies:** `DGR-028`, `DGR-029`, `DGR-031`
@@ -18,11 +18,11 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Acceptance criteria
- [ ] Load only `blk.N.*` tensors in the assigned range, embeddings only at the head, and norm/output or tied output only at the tail.
- [ ] Derive authoritative range and endpoint ownership from the loaded engine state.
- [ ] Reject invalid/gapped/out-of-model ranges and unexpected required tensors.
- [ ] Real-model evidence shows mapped/resident memory scales with owned tensors rather than full artifact size.
- [ ] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
- [x] Load only `blk.N.*` tensors in the assigned range, embeddings only at the head, and norm/output or tied output only at the tail.
- [x] Derive authoritative range and endpoint ownership from the loaded engine state.
- [x] Reject invalid/gapped/out-of-model ranges and unexpected required tensors.
- [x] Real-model evidence shows mapped/resident memory scales with owned tensors rather than full artifact size.
- [x] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
## Shared quality gates
@@ -36,4 +36,4 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Evidence handoff
Write and verify `.scratch/distributed-gguf-runtime/evidence/DGR-034/README.md`. Until every criterion and applicable gate has real evidence, this story remains `passes: false`. Legacy evidence is provenance only, not completion credit.
Verified evidence: `.scratch/distributed-gguf-runtime/evidence/DGR-034/README.md`. Legacy evidence remains provenance only and grants no implementation completion credit.

View File

@@ -1,7 +1,7 @@
<!-- GENERATED FROM prd.json — DO NOT EDIT AS AN INDEPENDENT SOURCE. prd.json IS AUTHORITATIVE. -->
# DGR-035: Implement dense architecture boundary input/output
- **Status / triage:** specification only; `ready-for-agent`; `passes: false`
- **Status / triage:** completed; `passes: true`
- **Execution mode:** `AFK`
- **Milestone:** `M2`
- **Dependencies:** `DGR-021`, `DGR-031`, `DGR-034`
@@ -18,11 +18,11 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Acceptance criteria
- [ ] Head accepts token IDs and owns embedding; middle/tail bypass embedding and accept a named boundary bundle.
- [ ] Non-tail returns the unnormalized residual before final norm/head and before tail-only row pruning.
- [ ] Tail returns logits or sampled-token output under an explicit contract.
- [ ] Uncertified architectures and incompatible boundary schemas fail closed.
- [ ] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
- [x] Head accepts token IDs and owns embedding; middle/tail bypass embedding and accept a named boundary bundle.
- [x] Non-tail returns the unnormalized residual before final norm/head and before tail-only row pruning.
- [x] Tail returns logits or sampled-token output under an explicit contract.
- [x] Uncertified architectures and incompatible boundary schemas fail closed.
- [x] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
## Shared quality gates
@@ -36,4 +36,4 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Evidence handoff
Write and verify `.scratch/distributed-gguf-runtime/evidence/DGR-035/README.md`. Until every criterion and applicable gate has real evidence, this story remains `passes: false`. Legacy evidence is provenance only, not completion credit.
Verified evidence: `.scratch/distributed-gguf-runtime/evidence/DGR-035/README.md`. Legacy evidence remains provenance only and grants no implementation completion credit.

View File

@@ -1,7 +1,7 @@
<!-- GENERATED FROM prd.json — DO NOT EDIT AS AN INDEPENDENT SOURCE. prd.json IS AUTHORITATIVE. -->
# DGR-036: Prove dense fixture and real-model range parity
- **Status / triage:** specification only; `ready-for-agent`; `passes: false`
- **Status / triage:** completed; `passes: true`
- **Execution mode:** `AFK`
- **Milestone:** `M2`
- **Dependencies:** `DGR-033`, `DGR-035`
@@ -18,11 +18,11 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Acceptance criteria
- [ ] Model-free two-stage tests pass through two fake worker processes with disjoint ranges.
- [ ] A small real dense GGUF passes whole-model versus two-range prefill parity.
- [ ] At least 32 greedy decode tokens match the locked tolerance.
- [ ] Evidence distinguishes deterministic fixture proof from opt-in real-model proof.
- [ ] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
- [x] Model-free two-stage tests pass through two fake worker processes with disjoint ranges.
- [x] A small real dense GGUF passes whole-model versus two-range prefill parity.
- [x] At least 32 greedy decode tokens match the locked tolerance.
- [x] Evidence distinguishes deterministic fixture proof from opt-in real-model proof.
- [x] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
## Shared quality gates
@@ -36,4 +36,4 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Evidence handoff
Write and verify `.scratch/distributed-gguf-runtime/evidence/DGR-036/README.md`. Until every criterion and applicable gate has real evidence, this story remains `passes: false`. Legacy evidence is provenance only, not completion credit.
Verified evidence: `.scratch/distributed-gguf-runtime/evidence/DGR-036/README.md`. Legacy evidence remains provenance only and grants no implementation completion credit.

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@@ -1,7 +1,7 @@
<!-- GENERATED FROM prd.json — DO NOT EDIT AS AN INDEPENDENT SOURCE. prd.json IS AUTHORITATIVE. -->
# DGR-037: Bind llama.cpp to the standalone worker
- **Status / triage:** specification only; `ready-for-agent`; `passes: false`
- **Status / triage:** completed; `passes: true`
- **Execution mode:** `AFK`
- **Milestone:** `M2`
- **Dependencies:** `DGR-022`, `DGR-023`, `DGR-031`, `DGR-034`, `DGR-035`
@@ -18,11 +18,11 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Acceptance criteria
- [ ] Worker loads exactly one artifact/recipe/range identity and rejects mismatched stream requests.
- [ ] All execution passes through `ShardEngine`; llama.cpp implementation types remain private.
- [ ] Health and metrics expose loaded identity, authoritative ownership, memory, and execution state.
- [ ] Graceful shutdown releases model/session resources; injected process death is observable and bounded.
- [ ] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
- [x] Worker loads exactly one artifact/recipe/range identity and rejects mismatched stream requests.
- [x] All execution passes through `ShardEngine`; llama.cpp implementation types remain private.
- [x] Health and metrics expose loaded identity, authoritative ownership, memory, and execution state.
- [x] Graceful shutdown releases model/session resources; injected process death is observable and bounded.
- [x] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
## Shared quality gates
@@ -36,4 +36,4 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Evidence handoff
Write and verify `.scratch/distributed-gguf-runtime/evidence/DGR-037/README.md`. Until every criterion and applicable gate has real evidence, this story remains `passes: false`. Legacy evidence is provenance only, not completion credit.
Verified evidence: `.scratch/distributed-gguf-runtime/evidence/DGR-037/README.md`. Legacy evidence remains provenance only and grants no implementation completion credit.

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@@ -1,7 +1,7 @@
<!-- GENERATED FROM prd.json — DO NOT EDIT AS AN INDEPENDENT SOURCE. prd.json IS AUTHORITATIVE. -->
# DGR-038: Implement isolated shard-local Hot KV State
- **Status / triage:** specification only; `ready-for-agent`; `passes: false`
- **Status / triage:** completed; `passes: true`
- **Execution mode:** `AFK`
- **Milestone:** `M2`
- **Dependencies:** `DGR-037`
@@ -18,11 +18,11 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Acceptance criteria
- [ ] Map `(route_session_id, route_epoch)` to an isolated llama sequence or bounded context.
- [ ] Support prefill/decode append, truncate, release, TTL/LRU eviction, cache miss, and stale-epoch rejection.
- [ ] Four concurrent sessions complete without token, KV, position, or cancellation cross-talk.
- [ ] Release/eviction returns memory to the configured budget without affecting other sessions.
- [ ] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
- [x] Map `(route_session_id, route_epoch)` to an isolated llama sequence or bounded context.
- [x] Support prefill/decode append, truncate, release, TTL/LRU eviction, cache miss, and stale-epoch rejection.
- [x] Four concurrent sessions complete without token, KV, position, or cancellation cross-talk.
- [x] Release/eviction returns memory to the configured budget without affecting other sessions.
- [x] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
## Shared quality gates
@@ -36,4 +36,4 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Evidence handoff
Write and verify `.scratch/distributed-gguf-runtime/evidence/DGR-038/README.md`. Until every criterion and applicable gate has real evidence, this story remains `passes: false`. Legacy evidence is provenance only, not completion credit.
Verified evidence: `.scratch/distributed-gguf-runtime/evidence/DGR-038/README.md`. Legacy evidence remains provenance only and grants no implementation completion credit.

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@@ -1,7 +1,7 @@
<!-- GENERATED FROM prd.json — DO NOT EDIT AS AN INDEPENDENT SOURCE. prd.json IS AUTHORITATIVE. -->
# DGR-039: Pass local two-process dense acceptance
- **Status / triage:** specification only; `ready-for-agent`; `passes: false`
- **Status / triage:** completed; `passes: true`
- **Execution mode:** `AFK`
- **Milestone:** `M2`
- **Dependencies:** `DGR-036`, `DGR-037`, `DGR-038`
@@ -18,11 +18,11 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Acceptance criteria
- [ ] Two worker processes open disjoint dense ranges and both execute real prefill/decode work.
- [ ] Whole-model parity, 32-token greedy decode, four-session isolation, cancellation, and cleanup pass.
- [ ] Record TTFT, prefill/decode rates, seam bytes/latency, RSS/VRAM, KV, queue, and failure metrics.
- [ ] Killing one worker returns a bounded structured failure rather than hanging.
- [ ] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
- [x] Two worker processes open disjoint dense ranges and both execute real prefill/decode work.
- [x] Whole-model parity, 32-token greedy decode, four-session isolation, cancellation, and cleanup pass.
- [x] Record TTFT, prefill/decode rates, seam bytes/latency, RSS/VRAM, KV, queue, and failure metrics.
- [x] Killing one worker returns a bounded structured failure rather than hanging.
- [x] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
## Shared quality gates
@@ -36,4 +36,4 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Evidence handoff
Write and verify `.scratch/distributed-gguf-runtime/evidence/DGR-039/README.md`. Until every criterion and applicable gate has real evidence, this story remains `passes: false`. Legacy evidence is provenance only, not completion credit.
Verified evidence: `.scratch/distributed-gguf-runtime/evidence/DGR-039/README.md`. Legacy evidence remains provenance only and grants no implementation completion credit.

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@@ -1,7 +1,7 @@
<!-- GENERATED FROM prd.json — DO NOT EDIT AS AN INDEPENDENT SOURCE. prd.json IS AUTHORITATIVE. -->
# DGR-040: Add node-side native worker supervision
- **Status / triage:** specification only; `ready-for-agent`; `passes: false`
- **Status / triage:** completed; `passes: true`
- **Execution mode:** `AFK`
- **Milestone:** `M2`
- **Dependencies:** `DGR-033`, `DGR-037`
@@ -18,11 +18,11 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Acceptance criteria
- [ ] Supervision owns process startup, readiness, log capture, graceful shutdown, and bounded forced termination.
- [ ] Startup verifies worker binary, artifact identity, recipe, and range before registration.
- [ ] Crashes or health loss make the capability unavailable without corrupting the Transformers backend.
- [ ] Tests use the fake worker and deterministic crash injection.
- [ ] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
- [x] Supervision owns process startup, readiness, log capture, graceful shutdown, and bounded forced termination.
- [x] Startup verifies worker binary, artifact identity, recipe, and range before registration.
- [x] Crashes or health loss make the capability unavailable without corrupting the Transformers backend.
- [x] Tests use the fake worker and deterministic crash injection.
- [x] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
## Shared quality gates
@@ -36,4 +36,4 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Evidence handoff
Write and verify `.scratch/distributed-gguf-runtime/evidence/DGR-040/README.md`. Until every criterion and applicable gate has real evidence, this story remains `passes: false`. Legacy evidence is provenance only, not completion credit.
Verified evidence: `.scratch/distributed-gguf-runtime/evidence/DGR-040/README.md`. Legacy evidence remains provenance only and grants no implementation completion credit.

View File

@@ -1,7 +1,7 @@
<!-- GENERATED FROM prd.json — DO NOT EDIT AS AN INDEPENDENT SOURCE. prd.json IS AUTHORITATIVE. -->
# DGR-041: Register native Shard capabilities without redesigning Meshnet
- **Status / triage:** specification only; `ready-for-agent`; `passes: false`
- **Status / triage:** completed; `passes: true`
- **Execution mode:** `AFK`
- **Milestone:** `M2`
- **Dependencies:** `DGR-025`, `DGR-040`
@@ -18,11 +18,11 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Acceptance criteria
- [ ] Registration carries exact recipe fingerprint, authoritative range, backend, memory/KV capacity, concurrency, and certification status.
- [ ] Existing tracker, billing, routing, telemetry, and provider semantics remain backend-agnostic.
- [ ] Uncertified backend/model/recipe combinations are visible but unroutable.
- [ ] Existing Transformers registration and route tests remain unchanged in behavior.
- [ ] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
- [x] Registration carries exact recipe fingerprint, authoritative range, backend, memory/KV capacity, concurrency, and certification status.
- [x] Existing tracker, billing, routing, telemetry, and provider semantics remain backend-agnostic.
- [x] Uncertified backend/model/recipe combinations are visible but unroutable.
- [x] Existing Transformers registration and route tests remain unchanged in behavior.
- [x] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
## Shared quality gates
@@ -36,4 +36,4 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Evidence handoff
Write and verify `.scratch/distributed-gguf-runtime/evidence/DGR-041/README.md`. Until every criterion and applicable gate has real evidence, this story remains `passes: false`. Legacy evidence is provenance only, not completion credit.
Verified evidence: `.scratch/distributed-gguf-runtime/evidence/DGR-041/README.md`. Legacy evidence remains provenance only and grants no implementation completion credit.

View File

@@ -1,7 +1,7 @@
<!-- GENERATED FROM prd.json — DO NOT EDIT AS AN INDEPENDENT SOURCE. prd.json IS AUTHORITATIVE. -->
# DGR-042: Carry native frames through direct and existing relay seams
- **Status / triage:** specification only; `ready-for-agent`; `passes: false`
- **Status / triage:** completed; `passes: true`
- **Execution mode:** `AFK`
- **Milestone:** `M2`
- **Dependencies:** `DGR-024`, `DGR-040`
@@ -18,11 +18,11 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Acceptance criteria
- [ ] Direct paths use the long-lived gRPC activation stream.
- [ ] Relayed paths carry byte-identical versioned protobuf frames through the existing relay contract.
- [ ] Request/work identity, cancellation, deadlines, telemetry, billing correlation, and per-node attribution survive both paths.
- [ ] Fake-worker tests cover direct, relay, disconnect, cancellation, and bounded buffering.
- [ ] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
- [x] Direct paths use the long-lived gRPC activation stream.
- [x] Relayed paths carry byte-identical versioned protobuf frames through the existing relay contract.
- [x] Request/work identity, cancellation, deadlines, telemetry, billing correlation, and per-node attribution survive both paths.
- [x] Fake-worker tests cover direct, relay, disconnect, cancellation, and bounded buffering.
- [x] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
## Shared quality gates
@@ -36,4 +36,4 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Evidence handoff
Write and verify `.scratch/distributed-gguf-runtime/evidence/DGR-042/README.md`. Until every criterion and applicable gate has real evidence, this story remains `passes: false`. Legacy evidence is provenance only, not completion credit.
Verified evidence: `.scratch/distributed-gguf-runtime/evidence/DGR-042/README.md`. Legacy evidence remains provenance only and grants no implementation completion credit.

View File

@@ -1,7 +1,7 @@
<!-- GENERATED FROM prd.json — DO NOT EDIT AS AN INDEPENDENT SOURCE. prd.json IS AUTHORITATIVE. -->
# DGR-043: Expose GGUF compatibility and measured cost inputs to existing routing
- **Status / triage:** specification only; `ready-for-agent`; `passes: false`
- **Status / triage:** completed; `passes: true`
- **Execution mode:** `AFK`
- **Milestone:** `M2`
- **Dependencies:** `DGR-041`
@@ -18,11 +18,11 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Acceptance criteria
- [ ] Expose exact recipe, range coverage, capacity, queue/load, seam-cost, health, reliability, backend, and certification measurements through existing tracker input contracts.
- [ ] Prove existing routing forms complete compatible coverage and excludes dark or mismatched candidates using its current backend-agnostic mechanisms.
- [ ] Regression-test unchanged Transformers behavior and unchanged tracker routing, load-balancing, billing, relay, and provider semantics.
- [ ] Regression-test that no quant, stage count, fixed split, architecture, backend sequence, or DeepSeek-specific policy is hardcoded.
- [ ] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
- [x] Expose exact recipe, range coverage, capacity, queue/load, seam-cost, health, reliability, backend, and certification measurements through existing tracker input contracts.
- [x] Prove existing routing forms complete compatible coverage and excludes dark or mismatched candidates using its current backend-agnostic mechanisms.
- [x] Regression-test unchanged Transformers behavior and unchanged tracker routing, load-balancing, billing, relay, and provider semantics.
- [x] Regression-test that no quant, stage count, fixed split, architecture, backend sequence, or DeepSeek-specific policy is hardcoded.
- [x] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
## Shared quality gates
@@ -36,4 +36,4 @@ Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`,
## Evidence handoff
Write and verify `.scratch/distributed-gguf-runtime/evidence/DGR-043/README.md`. Until every criterion and applicable gate has real evidence, this story remains `passes: false`. Legacy evidence is provenance only, not completion credit.
Verified evidence: `.scratch/distributed-gguf-runtime/evidence/DGR-043/README.md`. Legacy evidence remains provenance only and grants no implementation completion credit.

View File

@@ -2,7 +2,7 @@
"name": "Distributed GGUF Runtime",
"branchName": "ralph/distributed-gguf-runtime",
"description": "Benchmark-gated distributed GGUF Shards using existing Meshnet control-plane routing and a standalone C++ gRPC worker around pinned upstream llama.cpp, targeting DeepSeek V4 Flash without hardcoded quantization or topology.",
"sourceOfTruth": "This prd.json is authoritative. Generated issue Markdown and planning summaries are projections and must not override it. DGR-017 and DGR-018 are complete; all later stories remain unimplemented specifications with passes=false.",
"sourceOfTruth": "This prd.json is authoritative. Generated issue Markdown and planning summaries are projections and must not override it. DGR-017 through DGR-033 have verified lane evidence; DGR-034 through DGR-071 remain unimplemented specifications with passes=false. Fixture evidence does not claim real model inference.",
"qualityGates": {
"universal": [
"Targeted deterministic tests pass; Python changes also pass `python -m compileall packages tests`.",
@@ -72,7 +72,7 @@
],
"typeDerivation": "A story type is derived from its type:<value> label; gate:<value> stories derive release-gate.",
"labelConventions": "Reserved prefixes include type:, priority:, area:, gate:, and ready-for-agent/ready-for-human triage labels; at most one type: and one priority: label are allowed.",
"generatedArtifactDisclaimer": "<!-- GENERATED FROM prd.json DO NOT EDIT AS AN INDEPENDENT SOURCE. prd.json IS AUTHORITATIVE. -->",
"generatedArtifactDisclaimer": "<!-- GENERATED FROM prd.json \u2014 DO NOT EDIT AS AN INDEPENDENT SOURCE. prd.json IS AUTHORITATIVE. -->",
"dependencyRules": "Dependencies reference existing numerically earlier IDs; graph is acyclic. blocks is mechanically derived from dependsOn.",
"authorityRule": "Generated issue files state that prd.json is authoritative and cannot independently claim completion or override it."
},
@@ -207,7 +207,7 @@
"DGR-062",
"DGR-067"
],
"disposition": "Replaced by scenario-based real 24, existing-routing 10+, real 10+, and backend certification."
"disposition": "Replaced by scenario-based real 2\u20134, existing-routing 10+, real 10+, and backend certification."
},
"DGR-012": {
"newIds": [
@@ -364,17 +364,18 @@
"Define controlled safetensors, whole-model GGUF, dense distributed GGUF, and V4 Flash distributed lanes with fixed prompts, context/output lengths, sampling, concurrency, hardware, and metrics.",
"Alpha requires correctness plus a human-approved useful-speed threshold; beta adds concurrency, long-context, failure, and sustained-throughput thresholds.",
"Separate quantization/model-fit gains from runtime, transport, batching, and kernel gains.",
"Treat quants and 24/10+ stage counts only as named certification scenarios; no product logic may hardcode them.",
"Treat quants and 2\u20134/10+ stage counts only as named certification scenarios; no product logic may hardcode them.",
"Lock thresholds and stop conditions in versioned machine-readable data before benchmark result ingestion.",
"Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff."
],
"passes": false,
"passes": true,
"notes": "Generated source issue: .scratch/distributed-gguf-runtime/issues/019-lock-alpha-and-beta-performance-contracts.md; prd.json is authoritative.",
"blocks": [
"DGR-020",
"DGR-044",
"DGR-054"
]
],
"completionNotes": "Locked the DGR-019 alpha/beta performance contract as versioned, digest-sealed machine-readable data (packages/node/meshnet_node/dgr_performance/data/alpha-beta-contract-v1.json, contract_id dgr-alpha-beta-performance/v1) plus a loader/validator module (packages/node/meshnet_node/dgr_performance/contract.py), before any distributed-lane benchmark result exists. Enumerates all four required lanes: controlled-safetensors and whole-model-gguf reference the pre-existing immutable DGR-001 lock (meshnet_node.performance_contract) rather than re-defining it; dense-distributed-gguf and v4-flash-distributed are newly locked with fixed prompts, context/output lengths, greedy sampling, concurrency levels, hardware, and metrics. Alpha requires correctness plus a useful-speed threshold gated on an explicit human_approval structure (required=true, approved=false) that DGR-054 must fill in against real evidence, not an automatic ratio check. Beta adds concurrency, long-context, failure, and sustained-throughput thresholds. Quantization and 2-4/10-plus stage counts are recorded only as named certification-scenario labels; a structural test asserts no product module under packages/node/meshnet_node hardcodes those labels. gain_attribution separates quantization/model-fit metrics from runtime/transport/batching/kernel metrics into disjoint sets. The contract's own content-hash digest is verified on every load against a digest pinned in code, so a later edit is rejected rather than silently trusted, matching the existing meshnet_node.glm_alpha.contract precedent. Also restored .scratch/distributed-gguf-runtime/prd.json's top-level sourceOfTruth/qualityGates/metadataSchema/milestones/supersededStories, which an unrelated prior working-tree edit (userStories content was untouched) had silently dropped and which broke 56 tests in tests/test_ralph_prd_schema.py before this session started."
},
{
"id": "DGR-020",
@@ -406,11 +407,12 @@
"Publish a threshold-based `go`, `optimize baseline`, or `stop` decision without changing the locked contract.",
"Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff."
],
"passes": false,
"passes": true,
"notes": "Generated source issue: .scratch/distributed-gguf-runtime/issues/020-run-the-controlled-whole-model-gguf-baseline.md; prd.json is authoritative.",
"blocks": [
"DGR-054"
]
],
"completionNotes": "Re-executed the exact DGR-001 controlled-whole-model plan (dgr-001-controlled-whole-model-baseline-v1) live on the same real machine/artifacts DGR-019's dgr_performance contract references (not redefined) as its locked controlled-safetensors and whole-model-gguf lanes: identical model revision (Qwen/Qwen2.5-0.5B-Instruct@7ae5576), identical prompts/sampling/concurrency/repeats, byte-identical artifact SHA-256 (safetensors snapshot, BF16 GGUF, Q4_K_M GGUF), byte-identical pinned llama-server binary/commit (9991/e920c523), and matching Transformers/PyTorch runtime versions. Ran the canonical opt-in local-real benchmark (meshnet_node.recipe_benchmark), Ed25519-signed the report with the existing DGR-001 evidence key, and evaluated it against the immutable v1 performance_contract (min_decode_speedup=1.25, max_resident_memory_ratio=0.75, min_quality_exact_match_rate=0.90, ...). Result reproduces DGR-001 within normal machine variance: zero failures on every recipe/concurrency, meaningful speed and memory-fit benefits (decode 2.02x-4.19x, aggregate throughput 4.47x-4.83x, resident memory 0.28x-0.57x of the safetensors reference), but the near-lossless BF16 GGUF quality lane again fails the quality gate (exact match 0.33 vs required >=0.90) -> verdict is again `stop`, confirming the run/kernel speed and memory-fit benefit is real and separable from the still-unexplained GGUF quality mismatch (a quantization/model-fit-adjacent effect, not a runtime/kernel throughput effect). No distributed implementation result was consulted or ingested. Fixed a recurrence of the known prd.json top-level-field-drop bug (sourceOfTruth/qualityGates/metadataSchema/milestones/supersededStories were stripped again before this session, restored verbatim from HEAD)."
},
{
"id": "DGR-021",
@@ -518,12 +520,12 @@
"acceptanceCriteria": [
"Pin protoc, gRPC, and plugin versions or declare a verified compatible range.",
"Generate Python and C++ bindings into out-of-tree build/package locations through documented commands.",
"Add PythonC++ round-trip and descriptor compatibility tests.",
"Add Python\u2194C++ round-trip and descriptor compatibility tests.",
"A clean checkout regenerates bindings deterministically or fails with an actionable toolchain error.",
"Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff."
],
"passes": true,
"notes": "Completed from Gitea #7 after controller provisioned and exercised the exact Python/C++ toolchains. Verified deterministic generation, native CMake/CTest, PythonC++ byte parity, compileall, and diff checks; fixed relative bootstrap prefix resolution.",
"notes": "Completed from Gitea #7 after controller provisioned and exercised the exact Python/C++ toolchains. Verified deterministic generation, native CMake/CTest, Python\u2194C++ byte parity, compileall, and diff checks; fixed relative bootstrap prefix resolution.",
"completionNotes": "Verified exact grpcio-tools 1.82.1, Protobuf 33.1, Abseil 20250814.1, and gRPC C++ 1.82.1 at commit acccf84c0df20487d64101f528e5d426541ca4e5. Mandatory Python/C++ message and service generation, native CTest, deterministic regeneration, and byte-for-byte Python/C++ parity passed; see evidence/DGR-023/README.md.",
"blocks": [
"DGR-024",
@@ -561,12 +563,13 @@
"Use real process/socket lifecycle and fail closed on transport, schema, epoch, size, cache, and deadline violations; do not claim model or accelerator behavior that is not exercised.",
"Applicable shared quality gates pass, and evidence records exact commands, raw outputs, generated artifact identities, wire-frame hashes, changed files, limitations, and dependency handoff."
],
"passes": false,
"notes": "Revised by policy audit: the former in-memory fake/stub seam task was invalid under the no-fake-data/no-demo-implementation rule. Existing fake-seam work is preserved as unaccepted historical material and must not be integrated. Real generated-gRPC protocol harness implemented (real subprocess/socket, generated stubs, direct/opaque-relay byte-identity proof, fail-closed epoch/deadline/malformed/checksum/duplicate/flow-control/cancel paths); see evidence/DGR-024/README.md. Awaiting independent controller review before this flips to passing.",
"passes": true,
"notes": "Generated source issue: .scratch/distributed-gguf-runtime/issues/024-implement-real-generated-grpc-protocol-harness.md; prd.json is authoritative.",
"blocks": [
"DGR-033",
"DGR-042"
]
],
"completionNotes": "Completed by agent"
},
{
"id": "DGR-025",
@@ -607,7 +610,7 @@
"DGR-041",
"DGR-044"
],
"completionNotes": "Completed 2026-07-17. Verified the live DGR-003-lineage identity core against every criterion: node packages/node/meshnet_node/runtime_recipe.py and the independent tracker packages/tracker/meshnet_tracker/recipe.py (pinned together by tests/data/recipe_fingerprint_vectors.json) fingerprint the source artifact SHA, tokenizer pin, architecture adapter and config digest, boundary/protocol schema versions, backend, weight quant, activation/compute dtypes, and KV dtype/layout under domain-separated digests; shards bind to exact half-open ranges with no topology or quant constants; route/handshake/session checks fail closed with structured mismatch reasons; recipes stay registered-but-dark in the tracker CertificationLedger until a real >=2-distinct-node whole-model distributed forward certifies them. Closed the one open criterion gap (runtime pin/patch stack): new packages/node/meshnet_node/runtime_pin.py derives the runtime_version axis from the DGR-027 lock manifest exact upstream commit plus a digest over the ordered patch-stack bytes failing closed on any UPSTREAM_LOCK.json/UPSTREAM_COMMIT/series/SHA256SUMS/patch-byte disagreement, and both identity implementations now reject a moving runtime_version reference. Tests: tests/test_runtime_pin_identity.py (17 passed) plus 196 passing impacted identity/admission/native-emission tests; python -m compileall and git diff --check clean. Also repaired backlog consistency left by prior sessions: added the missing DGR-022/DGR-027 completionNotes, regenerated the DGR-022/025/027 issue projections, and relocated three pre-DGR legacy GLM alpha issue files to issues/legacy/."
"completionNotes": "Completed 2026-07-17. Verified the live DGR-003-lineage identity core against every criterion: node packages/node/meshnet_node/runtime_recipe.py and the independent tracker packages/tracker/meshnet_tracker/recipe.py (pinned together by tests/data/recipe_fingerprint_vectors.json) fingerprint the source artifact SHA, tokenizer pin, architecture adapter and config digest, boundary/protocol schema versions, backend, weight quant, activation/compute dtypes, and KV dtype/layout under domain-separated digests; shards bind to exact half-open ranges with no topology or quant constants; route/handshake/session checks fail closed with structured mismatch reasons; recipes stay registered-but-dark in the tracker CertificationLedger until a real >=2-distinct-node whole-model distributed forward certifies them. Closed the one open criterion gap (runtime pin/patch stack): new packages/node/meshnet_node/runtime_pin.py derives the runtime_version axis from the DGR-027 lock manifest \u2014 exact upstream commit plus a digest over the ordered patch-stack bytes \u2014 failing closed on any UPSTREAM_LOCK.json/UPSTREAM_COMMIT/series/SHA256SUMS/patch-byte disagreement, and both identity implementations now reject a moving runtime_version reference. Tests: tests/test_runtime_pin_identity.py (17 passed) plus 196 passing impacted identity/admission/native-emission tests; python -m compileall and git diff --check clean. Also repaired backlog consistency left by prior sessions: added the missing DGR-022/DGR-027 completionNotes, regenerated the DGR-022/025/027 issue projections, and relocated three pre-DGR legacy GLM alpha issue files to issues/legacy/."
},
{
"id": "DGR-026",
@@ -639,12 +642,13 @@
"Add deterministic model-download-free tests using tiny local split fixtures, including interrupted resume, missing split, hash mismatch, and `/home` rejection.",
"Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff."
],
"passes": false,
"passes": true,
"notes": "Generated source issue: .scratch/distributed-gguf-runtime/issues/026-provision-exact-split-gguf-artifacts-outside-home.md; prd.json is authoritative.",
"blocks": [
"DGR-044",
"DGR-045"
]
],
"completionNotes": "Completed by agent"
},
{
"id": "DGR-027",
@@ -673,7 +677,7 @@
"Manifest records upstream URL, exact commit, expected source archive/tree hash, license, and retrieval method.",
"Fetch tooling verifies identity before use and refuses an unpinned branch/tag.",
"Source is fetched into an ignored build workspace; no submodule, vendored source tree, or permanent fork is introduced.",
"Offline reuse is supported only after the cached trees exact identity is verified.",
"Offline reuse is supported only after the cached tree\u2019s exact identity is verified.",
"Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff."
],
"passes": true,
@@ -715,13 +719,14 @@
"Verify license/attribution and prove no Meshnet routing, billing, relay, or authentication code enters the patch stack.",
"Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff."
],
"passes": false,
"passes": true,
"notes": "Generated source issue: .scratch/distributed-gguf-runtime/issues/028-implement-numbered-patch-stack-apply-and-verification.md; prd.json is authoritative.",
"blocks": [
"DGR-029",
"DGR-034",
"DGR-069"
]
],
"completionNotes": "Completed by agent"
},
{
"id": "DGR-029",
@@ -753,12 +758,13 @@
"Ensure build success alone does not advertise any backend/model/recipe capability.",
"Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff."
],
"passes": false,
"passes": true,
"notes": "Generated source issue: .scratch/distributed-gguf-runtime/issues/029-create-the-native-cmake-skeleton-and-deterministic-cpu-lane.md; prd.json is authoritative.",
"blocks": [
"DGR-030",
"DGR-034"
]
],
"completionNotes": "Completed by agent"
},
{
"id": "DGR-030",
@@ -790,13 +796,14 @@
"Keep every backend/model/recipe lane registered-dark until a separate real-hardware certification record exists.",
"Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff."
],
"passes": false,
"passes": true,
"notes": "Generated source issue: .scratch/distributed-gguf-runtime/issues/030-add-accelerator-build-presets-and-native-ci-matrix.md; prd.json is authoritative.",
"blocks": [
"DGR-053",
"DGR-067",
"DGR-068"
]
],
"completionNotes": "Completed by agent"
},
{
"id": "DGR-031",
@@ -828,14 +835,15 @@
"Add contract tests proving fake and future llama implementations obey identical lifecycle semantics.",
"Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff."
],
"passes": false,
"passes": true,
"notes": "Generated source issue: .scratch/distributed-gguf-runtime/issues/031-introduce-the-project-owned-shardengine-interface.md; prd.json is authoritative.",
"blocks": [
"DGR-032",
"DGR-034",
"DGR-035",
"DGR-037"
]
],
"completionNotes": "Completed by agent"
},
{
"id": "DGR-032",
@@ -867,11 +875,12 @@
"Contract tests distinguish fixture evidence from real-model certification.",
"Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff."
],
"passes": false,
"passes": true,
"notes": "Generated source issue: .scratch/distributed-gguf-runtime/issues/032-implement-deterministic-fake-shardengine.md; prd.json is authoritative.",
"blocks": [
"DGR-033"
]
],
"completionNotes": "Completed by agent"
},
{
"id": "DGR-033",
@@ -905,12 +914,13 @@
"The worker exposes neither llama.cpp RPC nor arbitrary graph execution.",
"Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff."
],
"passes": false,
"passes": true,
"notes": "Generated source issue: .scratch/distributed-gguf-runtime/issues/033-build-a-standalone-fake-c-grpc-shard-worker.md; prd.json is authoritative.",
"blocks": [
"DGR-036",
"DGR-040"
]
],
"completionNotes": "Cross-review (Codex GPT-5.5) BLOCK repaired in worktree distributed-gguf-opus. Root protocol defects fixed in the native worker: (1) chunk/decode now fail closed before SessionOpen via a per-session opened flag (terminal ERROR_CODE_INTERNAL), so no activation bypasses lifecycle/cancellation/epoch/flow-control state even when an out-of-band Cancel created placeholder state; (2) flow control is negotiated with strict worker bounds (ShardRuntimeServiceImpl::NegotiateFlow mirrors native_protocol/codec.py negotiate_flow_control) and the negotiated per-session max_chunk_bytes is enforced on every bundle instead of trusting the peer proposal; (3) an in-stream ReleaseSignal now erases session state immediately; (4) SessionOpen rejects incompatible schema, artifact/recipe fingerprint, and shard-range identity and reports the worker own served fingerprint rather than echoing the caller. Nine regression tests added. Real gates on the rebuilt pinned-gRPC binary: cmake --build exit 0; ctest 2/2 passed (shard_worker_selftest, shard_protocol_conformance); tests/test_native_shard_worker.py 27 passed; DGR-024 harness + native protocol 63 passed; compileall exit 0; git diff --check clean; ldd/nm show 0 llama/ggml linkage. Evidence: .scratch/distributed-gguf-runtime/evidence/DGR-033/README.md."
},
{
"id": "DGR-034",
@@ -944,13 +954,14 @@
"Real-model evidence shows mapped/resident memory scales with owned tensors rather than full artifact size.",
"Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff."
],
"passes": false,
"passes": true,
"notes": "Generated source issue: .scratch/distributed-gguf-runtime/issues/034-implement-dense-llama-range-aware-gguf-ownership.md; prd.json is authoritative.",
"blocks": [
"DGR-035",
"DGR-037",
"DGR-051"
]
],
"completionNotes": "Completed by agent"
},
{
"id": "DGR-035",
@@ -984,13 +995,14 @@
"Uncertified architectures and incompatible boundary schemas fail closed.",
"Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff."
],
"passes": false,
"passes": true,
"notes": "Generated source issue: .scratch/distributed-gguf-runtime/issues/035-implement-dense-architecture-boundary-input-output.md; prd.json is authoritative.",
"blocks": [
"DGR-036",
"DGR-037",
"DGR-069"
]
],
"completionNotes": "Completed by agent"
},
{
"id": "DGR-036",
@@ -1023,11 +1035,12 @@
"Evidence distinguishes deterministic fixture proof from opt-in real-model proof.",
"Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff."
],
"passes": false,
"passes": true,
"notes": "Generated source issue: .scratch/distributed-gguf-runtime/issues/036-prove-dense-fixture-and-real-model-range-parity.md; prd.json is authoritative.",
"blocks": [
"DGR-039"
]
],
"completionNotes": "Completed by agent"
},
{
"id": "DGR-037",
@@ -1063,14 +1076,15 @@
"Graceful shutdown releases model/session resources; injected process death is observable and bounded.",
"Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff."
],
"passes": false,
"passes": true,
"notes": "Generated source issue: .scratch/distributed-gguf-runtime/issues/037-bind-llama-cpp-to-the-standalone-worker.md; prd.json is authoritative.",
"blocks": [
"DGR-038",
"DGR-039",
"DGR-040",
"DGR-051"
]
],
"completionNotes": "Completed by agent"
},
{
"id": "DGR-038",
@@ -1102,14 +1116,15 @@
"Release/eviction returns memory to the configured budget without affecting other sessions.",
"Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff."
],
"passes": false,
"passes": true,
"notes": "Generated source issue: .scratch/distributed-gguf-runtime/issues/038-implement-isolated-shard-local-hot-kv-state.md; prd.json is authoritative.",
"blocks": [
"DGR-039",
"DGR-052",
"DGR-055",
"DGR-069"
]
],
"completionNotes": "Completed by agent"
},
{
"id": "DGR-039",
@@ -1143,11 +1158,12 @@
"Killing one worker returns a bounded structured failure rather than hanging.",
"Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff."
],
"passes": false,
"passes": true,
"notes": "Generated source issue: .scratch/distributed-gguf-runtime/issues/039-pass-local-two-process-dense-acceptance.md; prd.json is authoritative.",
"blocks": [
"DGR-054"
]
],
"completionNotes": "Completed by agent"
},
{
"id": "DGR-040",
@@ -1180,14 +1196,15 @@
"Tests use the fake worker and deterministic crash injection.",
"Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff."
],
"passes": false,
"passes": true,
"notes": "Generated source issue: .scratch/distributed-gguf-runtime/issues/040-add-node-side-native-worker-supervision.md; prd.json is authoritative.",
"blocks": [
"DGR-041",
"DGR-042",
"DGR-055",
"DGR-058"
]
],
"completionNotes": "Completed by agent"
},
{
"id": "DGR-041",
@@ -1220,11 +1237,12 @@
"Existing Transformers registration and route tests remain unchanged in behavior.",
"Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff."
],
"passes": false,
"passes": true,
"notes": "Generated source issue: .scratch/distributed-gguf-runtime/issues/041-register-native-shard-capabilities-without-redesigning-meshnet.md; prd.json is authoritative.",
"blocks": [
"DGR-043"
]
],
"completionNotes": "Completed by agent"
},
{
"id": "DGR-042",
@@ -1258,7 +1276,8 @@
"Fake-worker tests cover direct, relay, disconnect, cancellation, and bounded buffering.",
"Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff."
],
"passes": false,
"passes": true,
"completionNotes": "Completed by agent",
"notes": "Generated source issue: .scratch/distributed-gguf-runtime/issues/042-carry-native-frames-through-direct-and-existing-relay-seams.md; prd.json is authoritative.",
"blocks": [
"DGR-054",
@@ -1295,14 +1314,15 @@
"Regression-test that no quant, stage count, fixed split, architecture, backend sequence, or DeepSeek-specific policy is hardcoded.",
"Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff."
],
"passes": false,
"passes": true,
"notes": "Generated source issue: .scratch/distributed-gguf-runtime/issues/043-expose-gguf-compatibility-and-measured-cost-inputs-to-existing-routing.md; prd.json is authoritative.",
"blocks": [
"DGR-053",
"DGR-054",
"DGR-059",
"DGR-061"
]
],
"completionNotes": "Completed by agent"
},
{
"id": "DGR-044",
@@ -1407,7 +1427,7 @@
"triage": "ready-for-agent",
"description": "Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`, source issue `.scratch/distributed-gguf-runtime/issues/046-define-the-v4-typed-architecture-boundary-schema.md`, and evidence READMEs for dependencies (DGR-021, DGR-045) before changing code. Inspect live source/tests rather than trusting legacy pass states. Objective: Define the exact cross-stage V4 architecture boundary while keeping per-layer attention and auxiliary caches shard-local.",
"acceptanceCriteria": [
"Define a versioned named bundle for the mHC 4×4096 residual boundary, positions, token-ID sideband where required, and schema/cache expectations.",
"Define a versioned named bundle for the mHC 4\u00d74096 residual boundary, positions, token-ID sideband where required, and schema/cache expectations.",
"Explicitly exclude per-layer CSA, HCA, SWA, indexer, compressor, KV, and MTP caches/state from the WAN boundary; those remain local to the owning shard and session/epoch.",
"Reserve typed MTP boundary fields but mark MTP execution unsupported and unroutable for alpha.",
"Fingerprint independently of quant/topology and fail closed on missing, incompatible, incorrectly shaped, or stale boundary/cache expectations.",
@@ -1446,7 +1466,7 @@
"triage": "ready-for-agent",
"description": "Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`, source issue `.scratch/distributed-gguf-runtime/issues/047-adapt-the-upstream-v4-mhc-boundary-for-ranged-ownership.md`, and evidence READMEs for dependencies (DGR-045, DGR-046) before changing code. Inspect live source/tests rather than trusting legacy pass states. Objective: Add range-boundary adapters around upstream llama.cpp V4 mHC execution without reimplementing the V4 graph or kernels.",
"acceptanceCriteria": [
"Represent and validate the upstream V4 4×4096 mHC boundary without flattening semantic axes.",
"Represent and validate the upstream V4 4\u00d74096 mHC boundary without flattening semantic axes.",
"Add only head/intermediate/tail range ownership and boundary conversion hooks around the pinned upstream llama.cpp graph.",
"Compare deterministic fixture vectors and single-process ranged outputs with upstream whole-model execution.",
"Document that llama.cpp owns V4 mHC graph/kernels and that quantized storage does not alter the logical boundary schema.",
@@ -1656,7 +1676,7 @@
},
{
"id": "DGR-053",
"title": "Certify a real 24-stage V4 route",
"title": "Certify a real 2\u20134-stage V4 route",
"priority": 37,
"milestone": "M3",
"executionMode": "HITL",
@@ -1681,7 +1701,7 @@
"triage": "ready-for-human",
"description": "Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`, source issue `.scratch/distributed-gguf-runtime/issues/053-certify-a-real-2-4-stage-v4-route.md`, and evidence READMEs for dependencies (DGR-030, DGR-043, DGR-052) before changing code. Inspect live source/tests rather than trusting legacy pass states. Objective: Prove real Tracker-selected V4 execution across physical machines before alpha.",
"acceptanceCriteria": [
"Run one documented 24-stage certification scenario using exact compatible artifacts/recipes; the count and chosen quant are evidence inputs, not product constants.",
"Run one documented 2\u20134-stage certification scenario using exact compatible artifacts/recipes; the count and chosen quant are evidence inputs, not product constants.",
"Actual CPU/GPU work executes on every stage; fake workers do not satisfy acceptance.",
"Record parity, TTFT, prefill/decode speed, seam cost, memory, cache/state isolation, cancellation, and cleanup.",
"Tracker selection remains dynamic and rejects an injected incompatible backend/recipe.",
@@ -1960,7 +1980,7 @@
"DGR-058"
],
"triage": "ready-for-agent",
"description": "Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`, source issue `.scratch/distributed-gguf-runtime/issues/060-certify-v4-long-context-state-correctness.md`, and evidence READMEs for dependencies (DGR-051, DGR-056, DGR-058) before changing code. Inspect live source/tests rather than trusting legacy pass states. Objective: Prove V4s KV and auxiliary state remain correct and bounded at long contexts.",
"description": "Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`, source issue `.scratch/distributed-gguf-runtime/issues/060-certify-v4-long-context-state-correctness.md`, and evidence READMEs for dependencies (DGR-051, DGR-056, DGR-058) before changing code. Inspect live source/tests rather than trusting legacy pass states. Objective: Prove V4\u2019s KV and auxiliary state remain correct and bounded at long contexts.",
"acceptanceCriteria": [
"Exercise pre-locked context lengths covering multiple prefill chunks and sustained decode.",
"Validate KV plus CSA/HCA/SWA/indexer/compressor state positions across every stage.",
@@ -2411,5 +2431,8 @@
"notes": "Generated source issue: .scratch/distributed-gguf-runtime/issues/071-establish-upstream-pin-patch-and-certification-maintenance.md; prd.json is authoritative.",
"blocks": []
}
]
],
"metadata": {
"updatedAt": "2026-07-23T08:09:17.286Z"
}
}

20
.vscode/launch.json vendored
View File

@@ -5,7 +5,7 @@
"name": "Tracker: local (8080)",
"type": "debugpy",
"request": "launch",
"python": "${workspaceFolder}/.venv-rocm/bin/python",
"python": "${command:python.interpreterPath}",
"module": "meshnet_tracker.cli",
"args": ["start", "--host", "0.0.0.0", "--port", "8080", "--stats-db", "${workspaceFolder}/tracker-stats.sqlite"],
"console": "integratedTerminal",
@@ -15,7 +15,7 @@
"name": "Tracker: local + dashboard test runner (8080)",
"type": "debugpy",
"request": "launch",
"python": "${workspaceFolder}/.venv-rocm/bin/python",
"python": "${command:python.interpreterPath}",
"module": "meshnet_tracker.cli",
"args": [
"start",
@@ -34,7 +34,7 @@
"name": "Node: no model (7001)",
"type": "debugpy",
"request": "launch",
"python": "${workspaceFolder}/.venv-rocm/bin/python",
"python": "${command:python.interpreterPath}",
"module": "meshnet_node.cli",
"args": [
"start", "--tracker", "http://localhost:8080", "--no-model", "--host", "0.0.0.0",
@@ -47,7 +47,7 @@
"name": "Node: Qwen2.5 0.5B full GPU (7010)",
"type": "debugpy",
"request": "launch",
"python": "${workspaceFolder}/.venv-rocm/bin/python",
"python": "${command:python.interpreterPath}",
"module": "meshnet_node.cli",
"args": [
"start", "--tracker", "http://localhost:8080", "--model", "qwen2.5-0.5b-instruct",
@@ -61,7 +61,7 @@
"name": "Node: Qwen2.5 0.5B full CPU (7013)",
"type": "debugpy",
"request": "launch",
"python": "${workspaceFolder}/.venv-rocm/bin/python",
"python": "${command:python.interpreterPath}",
"module": "meshnet_node.cli",
"args": [
"start", "--tracker", "http://localhost:8080", "--model", "qwen2.5-0.5b-instruct",
@@ -75,7 +75,7 @@
"name": "Node: Qwen2.5 0.5B first half (7011)",
"type": "debugpy",
"request": "launch",
"python": "${workspaceFolder}/.venv-rocm/bin/python",
"python": "${command:python.interpreterPath}",
"module": "meshnet_node.cli",
"args": [
"start", "--tracker", "http://localhost:8080", "--model", "qwen2.5-0.5b-instruct",
@@ -89,7 +89,7 @@
"name": "Node: Qwen2.5 0.5B second half (7012)",
"type": "debugpy",
"request": "launch",
"python": "${workspaceFolder}/.venv-rocm/bin/python",
"python": "${command:python.interpreterPath}",
"module": "meshnet_node.cli",
"args": [
"start", "--tracker", "http://localhost:8080", "--model", "qwen2.5-0.5b-instruct",
@@ -103,7 +103,7 @@
"name": "Node: Qwen3.6 35B A3B full (7036)",
"type": "debugpy",
"request": "launch",
"python": "${workspaceFolder}/.venv-rocm/bin/python",
"python": "${command:python.interpreterPath}",
"module": "meshnet_node.cli",
"args": [
"start", "--tracker", "http://localhost:8080", "--model", "qwen3.6-35b-a3b",
@@ -117,7 +117,7 @@
"name": "API: request Qwen2.5 via local tracker",
"type": "debugpy",
"request": "launch",
"python": "${workspaceFolder}/.venv-rocm/bin/python",
"python": "${command:python.interpreterPath}",
"program": "${workspaceFolder}/scripts/send_api_request.py",
"args": [
"--url", "http://localhost:8080",
@@ -131,7 +131,7 @@
"name": "Ralph: dashboard (test runner PRD)",
"type": "debugpy",
"request": "launch",
"python": "${workspaceFolder}/.venv-rocm/bin/python",
"python": "${command:python.interpreterPath}",
"program": "${workspaceFolder}/scripts/ralph_progress.py",
"args": [
"watch",

124
CLAUDE.md Normal file
View File

@@ -0,0 +1,124 @@
# Distributed GGUF Runtime — Project Milestone Map
## What this project is
We're building a system to run a giant AI model (DeepSeek V4 Flash, 671B params) split across multiple machines. Instead of one machine needing one huge GPU, we chop the model's layer stack into ranges (shards), run each range on a different machine, and pipe data between them over the network.
Key components: **Tracker** (matchmaker that assigns shards to machines), **Nodes** (worker machines running a shard), **Gateway** (entry point that receives user requests and routes them through shards), all built on top of **llama.cpp** (the C++ engine that actually runs the model).
## Where we are (July 22, 2026)
**13 of 55 tasks complete.** M1 is 90% done — the protocol, build system, and scaffolding are in place. The next 4 tasks finish M1, then M2 begins the real engine work.
## Milestone structure
```
M1: Build system + protocol (DGR-021..033)
└─► M2: Real shard engine + network wiring (DGR-034..043)
└─► M3: DeepSeek V4 Flash integration (DGR-044..054)
└─► M4: Hardening, batching, performance (DGR-055..067)
└─► M5: Release + upstream (DGR-068..071)
```
## Completed tasks (13/55)
### M0 — Foundation & Cleanup (DGR-017..020)
- **DGR-017** — Reconcile superseded backlog (clean slate)
- **DGR-018** — Define canonical Ralph/Gitea metadata schema
- **DGR-019** — Lock alpha/beta performance contracts *(needs human review)*
- **DGR-020** — Run controlled whole-model GGUF baseline *(needs human review)*
### M1 — Protocol & Build System (DGR-021..029)
- **DGR-021** — Define versioned named-tensor stream envelope
- **DGR-022** — Define Shard lifecycle and structured status RPCs
- **DGR-023** — Make Python and C++ protobuf generation reproducible
- **DGR-024** — Implement real generated-gRPC protocol harness
- **DGR-025** — Define exact artifact/runtime recipe identity
- **DGR-026** — Provision exact split-GGUF artifacts outside /home
- **DGR-027** — Add exact llama.cpp provenance manifest + fetch workspace
- **DGR-028** — Implement numbered patch-stack apply and verification
- **DGR-029** — Create native CMake skeleton + deterministic CPU lane
## Remaining tasks by milestone
### M1: Protocol & Build System (4 remaining)
| Task | What it means |
|------|---------------|
| **DGR-030** | Build presets + CI matrix — make the C++ build work with CUDA/ROCm/CPU, add CI tests |
| **DGR-031** | ShardEngine interface — define the contract every shard must implement |
| **DGR-032** | Fake ShardEngine — a pretend shard that returns correct-shaped fake data for testing |
| **DGR-033** | Fake C++ gRPC worker — wrap that fake shard in a real gRPC server (first end-to-end network test) |
### M2: Shard Engine & Native Worker (DGR-034..043)
| Task | What it means |
|------|---------------|
| **DGR-034** | Range-aware GGUF ownership — teach the shard to load only its slice of layers |
| **DGR-035** | Boundary I/O — define exact tensor shapes crossing between shards |
| **DGR-036** | Fixture vs real-model parity — prove fake shard matches real shard outputs |
| **DGR-037** | Bind llama.cpp to the worker — plug real llama.cpp engine into gRPC worker |
| **DGR-038** | Hot KV State — keep each shard's piece of conversation memory hot and accessible |
| **DGR-039** | Two-process acceptance — run 2 shards on one machine, verify output matches whole model |
| **DGR-040** | Worker supervision — start/monitor/restart native workers (like container orchestrator for shards) |
| **DGR-041** | Register capabilities — tell the Tracker "I can run layers 10-20 on this GPU" |
| **DGR-042** | Carry frames through seams — tensor data travels over direct connections and relay |
| **DGR-043** | Cost inputs to routing — tell Tracker "this shard takes X ms per token, Y GB bandwidth" |
### M3: DeepSeek V4 Flash Integration (DGR-044..054)
| Task | What it means |
|------|---------------|
| **DGR-044** | Pin the target contract — document exactly what V4 Flash needs (layers, tensors, memory) |
| **DGR-045** | Inventory V4 tensors — open the model file, list every tensor, assign to layers |
| **DGR-046** | V4 architecture boundary — define data crossing shard boundaries for MoE model |
| **DGR-047** | Adapt V4 for ranged ownership — modify upstream code so each machine runs only its range |
| **DGR-048** | Token-ID sideband — pass token ID alongside data between shards for expert routing |
| **DGR-049** | Shard-local attention state — keep attention/auxiliary state local per shard |
| **DGR-050** | Validate MoE routing — verify expert routing works when experts are on different machines |
| **DGR-051** | V4 ShardEngine adapter — the big integration: make V4 fit into the ShardEngine interface |
| **DGR-052** | V4 local vs distributed parity — run V4 on one machine vs split across two, verify same output |
| **DGR-053** | Certify real 2-4 stage route — run V4 across 2-4 machines with real GPUs *(human review)* |
| **DGR-054** | Enforce V4 alpha gate — alpha-quality checkpoint *(human review)* |
### M4: Hardening & Performance (DGR-055..067)
| Task | What it means |
|------|---------------|
| **DGR-055** | Continuous batching — handle multiple user requests simultaneously |
| **DGR-056** | Admission and backpressure — don't pile up requests, slow down gracefully |
| **DGR-057** | Benchmark batching — measure max simultaneous users before slowdown |
| **DGR-058** | Failure hardening — handle shard crashes mid-request gracefully |
| **DGR-059** | Route recovery — reroute around dead shards automatically |
| **DGR-060** | Long-context correctness — verify distributed version handles 128K token conversations |
| **DGR-061** | 10+ stage routing — test routing across 10+ machines |
| **DGR-062** | Dynamic 10+ stage V4 scenario — real-world test across 10+ machines *(human review)* |
| **DGR-063** | Profile and optimize — find and fix the slowest part of the pipeline |
| **DGR-064** | Activation compression — compress data between machines to save bandwidth |
| **DGR-065** | MTP ownership — define multi-token prediction across shards |
| **DGR-066** | Implement MTP — build and benchmark distributed multi-token prediction |
| **DGR-067** | Certify capability matrix — final: what hardware, what models, what performance *(human review)* |
### M5: Release & Upstream (DGR-068..071)
| Task | What it means |
|------|---------------|
| **DGR-068** | Package releases — reproducible release binaries for others to install |
| **DGR-069** | Upstream patches — clean patches to submit to llama.cpp project *(human review)* |
| **DGR-070** | Beta gate certification — final beta-quality checkpoint *(human review)* |
| **DGR-071** | Maintenance docs — playbook for updating pin, reapplying patches, certifying releases |
## Current state
- **Branch:** `ralph/distributed-gguf-runtime`
- **Progress:** 13/55 tasks complete, 42 remaining
- **Next task:** DGR-030 (build presets + CI matrix)
- **Last session stopped:** Ralph hit Claude session limit at 09:44 on July 22. Reset at 13:30 Europe/Sofia. Use `ralph-tui resume` to continue.
- **26 files committed** from the last Ralph run (DGR-019..029 work). Branch pushed to origin.
## Working conventions
- Ralph runs headless: reads backlog, spawns fresh Claude Code per ticket, verifies, reports
- DGR-019/020 marked `ready-for-human` — needs review before certifying
- As of July 23, 2026: `autoCommit = true` in `.ralph-tui/config.toml` — the engine now commits after every completed task, and a supervisor process pushes each commit to `origin/ralph/distributed-gguf-runtime` immediately.
- `ralph-tui resume` picks up where it left off

View File

@@ -20,6 +20,14 @@ from .native_protocol import (
pb,
validate_tail_result,
)
from .shard_engine import BoundaryBundle, EngineTensor
# This is deliberately an execution-boundary name, not a transport name. It
# identifies the value *before* final norm/output projection. A future wire
# codec may rename its field, but cannot reinterpret this value as logits.
DENSE_LLAMA_ARCHITECTURE = "dense-llama"
DENSE_RESIDUAL_BOUNDARY_V1 = "dense.residual.v1"
class Architecture(str, Enum):
@@ -63,6 +71,11 @@ class TailOutput:
raise ProtocolError("sampled token id must be non-negative")
return cls("sampled_token", token_id)
@classmethod
def logits(cls, logits: object) -> "TailOutput":
"""Return raw logits under the explicit tail-only output contract."""
return cls("logits", logits)
@dataclass(frozen=True)
class TypedTailResult:
@@ -148,28 +161,153 @@ class ArchitectureBoundaryAdapter:
raise ProtocolError("tail result architecture does not match certified adapter")
if not identity.request_id or not identity.runtime_recipe_digest:
raise ProtocolError("tail result requires exact request and recipe identity")
if output.kind != "sampled_token":
if output.kind == "sampled_token":
if not isinstance(output.value, int):
raise ProtocolError("sampled tail output must carry an integer token id")
message = pb.TailResult(
identity=pb.RequestRecipeIdentity(
request_id=identity.request_id,
runtime_recipe_digest=identity.runtime_recipe_digest,
chat_template_id=identity.chat_template_id,
chat_template_version=identity.chat_template_version,
reasoning_mode=identity.reasoning_mode,
architecture=self.protocol_architecture,
),
sampling=pb.SamplingParameters(
temperature=sampling.temperature,
top_p=sampling.top_p,
top_k=sampling.top_k,
seed=sampling.seed,
greedy=sampling.temperature == 0.0,
),
sampled_token_id=output.value,
)
elif output.kind == "logits":
if not isinstance(output.value, pb.TensorBundle):
raise ProtocolError("logits tail output must carry a TensorBundle")
# Validate the logits bundle before putting it in the result; this
# rejects an incompatible boundary schema rather than passing an
# opaque tensor on to sampling.
from .native_protocol import decode_bundle
decode_bundle(output.value)
message = pb.TailResult(
identity=pb.RequestRecipeIdentity(
request_id=identity.request_id,
runtime_recipe_digest=identity.runtime_recipe_digest,
chat_template_id=identity.chat_template_id,
chat_template_version=identity.chat_template_version,
reasoning_mode=identity.reasoning_mode,
architecture=self.protocol_architecture,
),
sampling=pb.SamplingParameters(
temperature=sampling.temperature,
top_p=sampling.top_p,
top_k=sampling.top_k,
seed=sampling.seed,
greedy=sampling.temperature == 0.0,
),
logits=output.value,
)
else:
raise ProtocolError("uncertified tail output kind")
message = pb.TailResult(
identity=pb.RequestRecipeIdentity(
request_id=identity.request_id,
runtime_recipe_digest=identity.runtime_recipe_digest,
chat_template_id=identity.chat_template_id,
chat_template_version=identity.chat_template_version,
reasoning_mode=identity.reasoning_mode,
architecture=self.protocol_architecture,
),
sampling=pb.SamplingParameters(
temperature=sampling.temperature,
top_p=sampling.top_p,
top_k=sampling.top_k,
seed=sampling.seed,
greedy=sampling.temperature == 0.0,
),
sampled_token_id=int(output.value),
)
validate_tail_result(message)
return TypedTailResult(identity, sampling, "sampled_token_id", message)
return TypedTailResult(identity, sampling, message.WhichOneof("output"), message)
@dataclass(frozen=True)
class DenseLayerRange:
"""A certified, inclusive dense-Llama range within one loaded model."""
start_layer: int
end_layer: int
total_layers: int
architecture: str = DENSE_LLAMA_ARCHITECTURE
def __post_init__(self) -> None:
if self.architecture != DENSE_LLAMA_ARCHITECTURE:
raise ProtocolError("dense boundary executor only certifies dense-llama")
if self.start_layer < 0 or self.end_layer < self.start_layer:
raise ProtocolError("dense range is empty or inverted")
if self.total_layers <= self.end_layer:
raise ProtocolError("dense range lies outside the model")
@property
def is_head(self) -> bool:
return self.start_layer == 0
@property
def is_tail(self) -> bool:
return self.end_layer == self.total_layers - 1
class DenseRangeBoundaryExecutor:
"""Execute one dense range without leaking endpoint ownership.
``run_layers`` owns only the local transformer blocks and receives/returns
the raw residual. It never receives a final norm/head callback. Only a
tail range receives ``tail_output``; consequently row pruning and logits
projection cannot accidentally happen before the final stage.
"""
def __init__(
self,
layer_range: DenseLayerRange,
*,
embed_tokens: Callable[[tuple[int, ...]], EngineTensor],
run_layers: Callable[[EngineTensor], EngineTensor],
tail_output: Callable[[EngineTensor], TailOutput] | None = None,
) -> None:
if layer_range.is_tail != (tail_output is not None):
raise ProtocolError("only a dense tail range may own final norm/output")
self._range = layer_range
self._embed_tokens = embed_tokens
self._run_layers = run_layers
self._tail_output = tail_output
def execute(
self,
*,
token_ids: tuple[int, ...] | None = None,
boundary: BoundaryBundle | None = None,
) -> BoundaryBundle | TailOutput:
if self._range.is_head:
if token_ids is None or boundary is not None or not token_ids:
raise ProtocolError("dense head accepts non-empty token ids and no boundary bundle")
residual = self._embed_tokens(token_ids)
else:
if token_ids is not None or boundary is None:
raise ProtocolError("dense middle/tail requires a named residual boundary bundle")
residual = self._residual_from_boundary(boundary)
residual = self._run_layers(residual)
if residual.name != HIDDEN_STATES:
raise ProtocolError("dense range must return hidden_states residual")
if self._range.is_tail:
assert self._tail_output is not None
output = self._tail_output(residual)
if output.kind not in {"logits", "sampled_token"}:
raise ProtocolError("dense tail returned an uncertified output kind")
return output
# Do not normalize, project, sample, or prune rows here: this exact
# raw output becomes the next range's input.
return BoundaryBundle(
tensors=(residual,),
architecture=DENSE_LLAMA_ARCHITECTURE,
boundary_point=DENSE_RESIDUAL_BOUNDARY_V1,
)
@staticmethod
def _residual_from_boundary(boundary: BoundaryBundle) -> EngineTensor:
if boundary.architecture != DENSE_LLAMA_ARCHITECTURE:
raise ProtocolError("boundary architecture is not certified dense-llama")
if boundary.boundary_point != DENSE_RESIDUAL_BOUNDARY_V1:
raise ProtocolError("incompatible dense residual boundary schema")
if len(boundary.tensors) != 1 or boundary.tensors[0].name != HIDDEN_STATES:
raise ProtocolError("dense residual boundary requires exactly one hidden_states tensor")
return boundary.tensors[0]
_ADAPTERS = {

View File

@@ -322,6 +322,105 @@ class BackendIdentity:
)
@dataclass(frozen=True)
class ExecutionCapacity:
"""Backend-neutral limits reserved for one registered capability.
The optional shape preserves existing Transformers reports unchanged while
allowing a native Shard to state its measured/admitted resource envelope.
"""
memory_capacity_bytes: int | None = None
kv_capacity_tokens: int | None = None
max_concurrent_sessions: int | None = None
def __post_init__(self) -> None:
for name in (
"memory_capacity_bytes",
"kv_capacity_tokens",
"max_concurrent_sessions",
):
value = getattr(self, name)
if value is not None:
_require_int(value, f"capacity.{name}", 1)
def to_dict(self) -> dict:
return {
"memory_capacity_bytes": self.memory_capacity_bytes,
"kv_capacity_tokens": self.kv_capacity_tokens,
"max_concurrent_sessions": self.max_concurrent_sessions,
}
@classmethod
def from_dict(cls, data: Any) -> ExecutionCapacity:
doc = _as_mapping(data, "capacity")
values: dict[str, int | None] = {}
for name in (
"memory_capacity_bytes",
"kv_capacity_tokens",
"max_concurrent_sessions",
):
value = doc.get(name)
values[name] = None if value is None else _require_int(value, f"capacity.{name}", 1)
return cls(**values)
@dataclass(frozen=True)
class RoutingMeasurements:
"""Optional backend-neutral observations for existing tracker routing.
These are measurements, rather than policy: the tracker continues to own
admission, route formation, load balancing, and certification. Keeping
this block optional makes it additive for existing Transformers reports.
"""
tokens_per_second: float | None = None
queue_depth: int | None = None
seam_latency_ms: float | None = None
healthy: bool | None = None
reliability: float | None = None
def __post_init__(self) -> None:
for name in ("tokens_per_second", "seam_latency_ms"):
value = getattr(self, name)
if value is not None and (
isinstance(value, bool) or not isinstance(value, (int, float)) or value < 0
):
raise CapabilityReportError(f"routing.{name} must be a non-negative number")
if self.tokens_per_second == 0:
raise CapabilityReportError("routing.tokens_per_second must be positive when present")
if self.queue_depth is not None:
_require_int(self.queue_depth, "routing.queue_depth", 0)
if self.healthy is not None and not isinstance(self.healthy, bool):
raise CapabilityReportError("routing.healthy must be a boolean")
if self.reliability is not None and (
isinstance(self.reliability, bool)
or not isinstance(self.reliability, (int, float))
or not 0.0 <= self.reliability <= 1.0
):
raise CapabilityReportError("routing.reliability must be a number from 0 to 1")
def to_dict(self) -> dict:
return {
"tokens_per_second": self.tokens_per_second,
"queue_depth": self.queue_depth,
"seam_latency_ms": self.seam_latency_ms,
"healthy": self.healthy,
"reliability": self.reliability,
}
@classmethod
def from_dict(cls, data: Any) -> RoutingMeasurements:
doc = _as_mapping(data, "routing")
return cls(
tokens_per_second=doc.get("tokens_per_second"),
queue_depth=doc.get("queue_depth"),
seam_latency_ms=doc.get("seam_latency_ms"),
healthy=doc.get("healthy"),
reliability=doc.get("reliability"),
)
def _as_mapping(data: Any, field_name: str) -> Mapping[str, Any]:
if not isinstance(data, Mapping):
raise CapabilityReportError(
@@ -353,6 +452,8 @@ class CapabilityReport:
diagnostics: tuple[str, ...] = ()
schema_version: int = CAPABILITY_SCHEMA_VERSION
identity: ShardIdentity | None = None
capacity: ExecutionCapacity | None = None
routing: RoutingMeasurements | None = None
def __post_init__(self) -> None:
if self.status not in VALID_STATUSES:
@@ -410,6 +511,10 @@ class CapabilityReport:
}
if self.identity is not None:
doc["identity"] = self.identity.to_dict()
if self.capacity is not None:
doc["capacity"] = self.capacity.to_dict()
if self.routing is not None:
doc["routing"] = self.routing.to_dict()
return doc
def to_json(self, indent: int | None = None) -> str:
@@ -451,6 +556,12 @@ class CapabilityReport:
identity=(
None if raw_identity is None else ShardIdentity.from_dict(raw_identity)
),
capacity=(
None if doc.get("capacity") is None else ExecutionCapacity.from_dict(doc["capacity"])
),
routing=(
None if doc.get("routing") is None else RoutingMeasurements.from_dict(doc["routing"])
),
)
@classmethod
@@ -486,6 +597,8 @@ def build_capability_report(
validated_at: float | None = None,
environ: Mapping[str, str] | None = None,
identity: ShardIdentity | None = None,
capacity: ExecutionCapacity | None = None,
routing: RoutingMeasurements | None = None,
) -> CapabilityReport:
"""Assemble a report from flat validation results.
@@ -518,4 +631,6 @@ def build_capability_report(
duration_ms=duration_ms,
diagnostics=sanitize_diagnostics(diagnostics, environ),
identity=identity,
capacity=capacity,
routing=routing,
)

View File

@@ -0,0 +1,47 @@
"""DGR-019 — the locked alpha/beta performance contract.
Four lanes feed the DeepSeek V4 Flash release gates: controlled safetensors
and whole-model GGUF are already locked by DGR-001
(:mod:`meshnet_node.performance_contract`); dense distributed GGUF and V4
Flash distributed are locked here, alongside the alpha (DGR-054) and beta
(DGR-070) gate thresholds that read them back.
Nothing here runs a benchmark or loads a model. This package is the contract
DGR-020, DGR-044, DGR-054, and DGR-070 are judged against.
"""
from __future__ import annotations
from .contract import (
ALPHA_VERDICTS,
BETA_VERDICTS,
CONTRACT_ID,
CONTRACT_SCHEMA_VERSION,
CONTRACT_V1_SHA256,
NEWLY_LOCKED_LANES,
REFERENCED_LANES,
REQUIRED_LANES,
AlphaBetaContract,
DgrPerformanceContractError,
compute_contract_digest,
load_contract,
parse_contract,
seal_contract,
)
__all__ = [
"ALPHA_VERDICTS",
"BETA_VERDICTS",
"CONTRACT_ID",
"CONTRACT_SCHEMA_VERSION",
"CONTRACT_V1_SHA256",
"NEWLY_LOCKED_LANES",
"REFERENCED_LANES",
"REQUIRED_LANES",
"AlphaBetaContract",
"DgrPerformanceContractError",
"compute_contract_digest",
"load_contract",
"parse_contract",
"seal_contract",
]

View File

@@ -0,0 +1,323 @@
"""The locked DGR-019 alpha/beta performance contract.
Four benchmark lanes feed the DeepSeek V4 Flash release gates: controlled
safetensors, whole-model GGUF, dense distributed GGUF, and V4 Flash
distributed. The first two are already locked by DGR-001
(:mod:`meshnet_node.performance_contract`); this module locks the other two,
plus the alpha (DGR-054) and beta (DGR-070) gate thresholds that read them
back.
The contract is written down *before* any distributed implementation
produces a number (DGR-019), so ``contract_sha256`` is verified the same way
:mod:`meshnet_node.glm_alpha.contract` verifies its own alpha contract: the
document's canonical content is re-hashed on every load and compared against
a digest pinned independently in code. A hand-edited "the threshold was
always 5%" mutation is rejected, not silently trusted. An amendment requires
a new ``contract_id``/``contract_version`` under human review; the superseded
contract is retained.
Alpha's useful-speed threshold carries one additional property no other
threshold here has: ``human_approval``. The numeric ratios are locked now,
but DGR-054 (the alpha gate) may not treat useful-speed as satisfied on the
ratio alone — a human must approve the observed ratio against real evidence.
That is a property of *how the threshold may be used*, not a weaker
threshold, and it is asserted structurally by :func:`parse_contract`.
"""
from __future__ import annotations
import hashlib
import json
from dataclasses import dataclass
from importlib.resources import files
from pathlib import Path
from types import MappingProxyType
from typing import Any, Mapping
CONTRACT_SCHEMA_VERSION = 1
CONTRACT_VERSION = 1
CONTRACT_ID = "dgr-alpha-beta-performance/v1"
CONTRACT_V1_SHA256 = "cb5a482a8f142bf45b1dd401743d408acbfe5f85bab86023144a8c9485ac6379"
_CONTRACT_RESOURCE = "alpha-beta-contract-v1.json"
DIGEST_FIELD = "contract_sha256"
REQUIRED_LANES: tuple[str, ...] = (
"controlled-safetensors",
"whole-model-gguf",
"dense-distributed-gguf",
"v4-flash-distributed",
)
# Lanes DGR-019 locks directly; the other two are already locked by DGR-001
# (meshnet_node.performance_contract) and are referenced, not re-defined.
NEWLY_LOCKED_LANES: tuple[str, ...] = ("dense-distributed-gguf", "v4-flash-distributed")
REFERENCED_LANES: tuple[str, ...] = ("controlled-safetensors", "whole-model-gguf")
ALPHA_VERDICTS: tuple[str, ...] = ("alpha", "optimize", "stop")
BETA_VERDICTS: tuple[str, ...] = ("beta", "targeted-optimization", "stop-rollback")
REQUIRED_TOP_LEVEL_SECTIONS: tuple[str, ...] = (
"prompt_set",
"sampling",
"lanes",
"gain_attribution",
"certification_scenarios",
"alpha",
"beta",
)
class DgrPerformanceContractError(ValueError):
"""Raised when the alpha/beta performance contract is missing, malformed, or mutated."""
def canonical_sha256(value: Any) -> str:
"""SHA-256 over canonical JSON — the repository's digest convention."""
payload = json.dumps(value, sort_keys=True, separators=(",", ":"), ensure_ascii=False)
return hashlib.sha256(payload.encode("utf-8")).hexdigest()
def contract_signing_payload(document: Mapping[str, Any]) -> dict:
"""The contract content the digest covers: everything except the digest itself."""
unsigned = dict(document)
unsigned.pop(DIGEST_FIELD, None)
return unsigned
def compute_contract_digest(document: Mapping[str, Any]) -> str:
return canonical_sha256(_thaw_json(contract_signing_payload(document)))
def _freeze_json(value: Any) -> Any:
if isinstance(value, Mapping):
return MappingProxyType({str(key): _freeze_json(item) for key, item in value.items()})
if isinstance(value, list):
return tuple(_freeze_json(item) for item in value)
return value
def _thaw_json(value: Any) -> Any:
if isinstance(value, Mapping):
return {str(key): _thaw_json(item) for key, item in value.items()}
if isinstance(value, tuple):
return [_thaw_json(item) for item in value]
return value
@dataclass(frozen=True)
class AlphaBetaContract:
"""A locked, digest-bound alpha/beta performance contract."""
schema_version: int
contract_version: int
contract_id: str
locked_at: str
locked_by: str
lanes: Mapping[str, Mapping[str, Any]]
gain_attribution: Mapping[str, Any]
certification_scenarios: Mapping[str, Any]
alpha: Mapping[str, Any]
beta: Mapping[str, Any]
amendment_policy: str
digest: str
raw: Mapping[str, Any]
source: str = "<memory>"
def lane(self, name: str) -> Mapping[str, Any]:
if name not in self.lanes:
raise DgrPerformanceContractError(f"lane {name!r} is missing from {self.source}")
return self.lanes[name]
def to_dict(self) -> dict:
return _thaw_json(self.raw)
def parse_contract(data: Any, source: str = "<memory>") -> AlphaBetaContract:
"""Validate a contract document and verify it has not been mutated since locking."""
if not isinstance(data, Mapping):
raise DgrPerformanceContractError(f"contract root in {source} must be a JSON object")
schema_version = data.get("schema_version")
if (
not isinstance(schema_version, int)
or isinstance(schema_version, bool)
or schema_version != CONTRACT_SCHEMA_VERSION
):
raise DgrPerformanceContractError(
f"{source} declares contract schema version {schema_version!r}, but this node "
f"reads version {CONTRACT_SCHEMA_VERSION}"
)
contract_version = data.get("contract_version")
if (
not isinstance(contract_version, int)
or isinstance(contract_version, bool)
or contract_version != CONTRACT_VERSION
):
raise DgrPerformanceContractError(
f"{source} declares contract version {contract_version!r}, but this node reads "
f"version {CONTRACT_VERSION}"
)
contract_id = data.get("contract_id")
if contract_id != CONTRACT_ID:
raise DgrPerformanceContractError(
f"{source} declares contract_id {contract_id!r}, but this node is locked to "
f"{CONTRACT_ID!r}"
)
for field in ("locked_at", "locked_by"):
value = data.get(field)
if not isinstance(value, str) or not value.strip():
raise DgrPerformanceContractError(f"{source} must carry a non-empty {field}")
if not data.get("locked_before_target_execution"):
raise DgrPerformanceContractError(
f"{source} does not assert locked_before_target_execution; a contract written "
"after the results are known is not a contract"
)
declared = data.get(DIGEST_FIELD)
if not isinstance(declared, str) or not declared:
raise DgrPerformanceContractError(
f"{source} carries no {DIGEST_FIELD}; an unsealed contract cannot prove it "
"predates the results it judges"
)
computed = compute_contract_digest(data)
if computed != declared:
raise DgrPerformanceContractError(
f"{source} has been modified since it was locked: its content hashes to "
f"{computed}, but it declares {declared}. Thresholds are locked before "
"benchmark result ingestion and may not be weakened afterwards. To change them, "
"open a new contract_id under human review; do not edit this one."
)
missing_sections = [
name for name in REQUIRED_TOP_LEVEL_SECTIONS if not isinstance(data.get(name), Mapping)
]
if missing_sections:
raise DgrPerformanceContractError(
f"{source} is missing locked section(s) {missing_sections}"
)
lanes = data["lanes"]
missing_lanes = [name for name in REQUIRED_LANES if name not in lanes]
if missing_lanes:
raise DgrPerformanceContractError(f"{source} is missing lane(s) {missing_lanes}")
for name in REFERENCED_LANES:
if not lanes[name].get("locked_elsewhere"):
raise DgrPerformanceContractError(
f"{source} lane {name!r} must reference its existing DGR-001 lock, not "
"re-define one"
)
for name in NEWLY_LOCKED_LANES:
for required_field in ("prompt_ids", "hardware", "metrics", "certification_scenarios"):
if required_field not in lanes[name]:
raise DgrPerformanceContractError(
f"{source} lane {name!r} is missing {required_field!r}"
)
alpha = data["alpha"]
alpha_verdicts = alpha.get("verdicts")
if not isinstance(alpha_verdicts, list) or list(alpha_verdicts) != list(ALPHA_VERDICTS):
raise DgrPerformanceContractError(
f"{source} alpha.verdicts must be exactly {list(ALPHA_VERDICTS)}"
)
human_approval = alpha.get("useful_speed", {}).get("human_approval")
if not isinstance(human_approval, Mapping) or human_approval.get("required") is not True:
raise DgrPerformanceContractError(
f"{source} alpha.useful_speed.human_approval.required must be true; alpha "
"requires a human-approved useful-speed threshold, not an automatic one"
)
beta = data["beta"]
beta_verdicts = beta.get("verdicts")
if not isinstance(beta_verdicts, list) or list(beta_verdicts) != list(BETA_VERDICTS):
raise DgrPerformanceContractError(
f"{source} beta.verdicts must be exactly {list(BETA_VERDICTS)}"
)
missing_beta_axes = [
axis for axis in ("concurrency", "long_context", "failure", "sustained_throughput")
if axis not in beta
]
if missing_beta_axes:
raise DgrPerformanceContractError(
f"{source} beta is missing axis/axes {missing_beta_axes}"
)
amendment_policy = data.get("amendment_policy")
if not isinstance(amendment_policy, str) or not amendment_policy.strip():
raise DgrPerformanceContractError(f"{source} must state its amendment policy")
if declared != CONTRACT_V1_SHA256:
raise DgrPerformanceContractError(
f"{source} is a re-sealed mutation of {CONTRACT_ID}: digest {declared} does not "
f"match the trusted pre-execution digest {CONTRACT_V1_SHA256}. An amendment "
"requires a new supported contract identity under human review."
)
frozen = _freeze_json(data)
return AlphaBetaContract(
schema_version=schema_version,
contract_version=contract_version,
contract_id=contract_id,
locked_at=str(data["locked_at"]),
locked_by=str(data["locked_by"]),
lanes=frozen["lanes"],
gain_attribution=frozen["gain_attribution"],
certification_scenarios=frozen["certification_scenarios"],
alpha=frozen["alpha"],
beta=frozen["beta"],
amendment_policy=amendment_policy,
digest=declared,
raw=frozen,
source=source,
)
def load_contract(path: Path | None = None) -> AlphaBetaContract:
"""Load the packaged alpha/beta performance contract, or one at ``path``."""
if path is not None:
source = str(path)
try:
raw = path.read_text(encoding="utf-8")
except OSError as exc:
raise DgrPerformanceContractError(f"cannot read {source}: {exc.strerror or exc}") from exc
else:
source = f"packaged {_CONTRACT_RESOURCE}"
try:
raw = (
files("meshnet_node.dgr_performance")
.joinpath("data", _CONTRACT_RESOURCE)
.read_text(encoding="utf-8")
)
except (OSError, FileNotFoundError, ModuleNotFoundError) as exc:
raise DgrPerformanceContractError(
f"{source} is missing from this node installation ({type(exc).__name__})"
) from exc
try:
data = json.loads(raw)
except json.JSONDecodeError as exc:
raise DgrPerformanceContractError(
f"{source} is not valid JSON: {exc.msg} at line {exc.lineno} column {exc.colno}"
) from exc
return parse_contract(data, source=source)
def seal_contract(document: Mapping[str, Any]) -> dict:
"""Return the document with a freshly computed digest.
This is the only supported way to produce a contract file. It is
deliberately not called at load time: sealing on load would turn every
mutation into a valid contract, which is precisely the property the
digest exists to deny.
"""
sealed = dict(document)
sealed[DIGEST_FIELD] = compute_contract_digest(document)
return sealed

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@@ -0,0 +1,287 @@
{
"schema_version": 1,
"contract_version": 1,
"contract_id": "dgr-alpha-beta-performance/v1",
"locked_at": "2026-07-22",
"locked_by": "DGR-019",
"locked_before_target_execution": true,
"prompt_set": {
"id": "dgr-fixed-prompt-set-v1",
"prompts": [
{
"id": "short-instruction",
"text": "Summarize the following changelog entry in one sentence: Added distributed layer-range execution for GGUF shards using range-aware tensor ownership.",
"context_class": "short"
},
{
"id": "code-completion",
"text": "def fibonacci(n):\n \"\"\"Return the nth Fibonacci number.\"\"\"\n",
"context_class": "short"
},
{
"id": "multi-step-reasoning",
"text": "A route has three shards, each holding a contiguous layer range. If shard A owns layers 0-13, shard B owns layers 14-27, and shard C owns layers 28-42, how many layers does each shard own and which shard is the tail?",
"context_class": "short"
},
{
"id": "long-context-fill",
"text": "Repeat the phrase 'the route holds a contiguous layer range' 1024 times, then answer: which node owns the tail?",
"context_class": "long",
"notes": "Beta long-context lane only; the driver expands this template to the locked context_tokens length rather than the literal text carrying that many tokens in this document."
}
]
},
"sampling": {
"temperature": 0.0,
"top_p": 1.0,
"top_k": 1,
"seed": 1234,
"notes": "Greedy by construction, matching meshnet_node.recipe_benchmark.SamplingPolicy defaults: sampling noise must never be indistinguishable from a quantization, transport, or batching effect."
},
"lanes": {
"controlled-safetensors": {
"role": "reference recipe",
"locked_elsewhere": true,
"contract_module": "meshnet_node.performance_contract",
"contract_id": "dgr-001-controlled-whole-model-baseline-v1",
"contract_schema_version": 1,
"notes": "Already locked by DGR-001/performance_contract.py (contract_version=1, immutable ContractThresholds). This document does not re-lock or duplicate those thresholds; it references them so the four lanes are enumerated in one place."
},
"whole-model-gguf": {
"role": "single-node quantization/model-fit comparison against controlled-safetensors",
"locked_elsewhere": true,
"contract_module": "meshnet_node.performance_contract",
"contract_id": "dgr-001-controlled-whole-model-baseline-v1",
"contract_schema_version": 1,
"notes": "Same locked contract as controlled-safetensors; this is the reference recipe's counterpart lane, not a separate threshold set."
},
"dense-distributed-gguf": {
"role": "multi-shard Meshnet Inference Route running a dense (non-MoE) architecture's GGUF weights across a real multi-machine route via the ShardEngine/native worker",
"reference_baseline": "the existing production Meshnet distributed Route Session running the same dense model over safetensors on the same node topology and network",
"prompt_ids": [
"short-instruction",
"code-completion",
"multi-step-reasoning"
],
"context_tokens": 2048,
"output_tokens": 128,
"concurrency_levels": [
1,
4
],
"hardware": {
"topology": "named certification scenario only: 2-4-stage or 10-plus-stage real multi-machine route",
"network": "same LAN/WAN class as the existing production route it is compared against",
"device_class": "generic; not hardcoded to one backend. CPU/CUDA/ROCm/Vulkan/Metal lanes are certified separately per RALPH-CONTEXT.md and only advertised once real-hardware-certified"
},
"metrics": [
"ttft_p50_ms",
"ttft_p95_ms",
"prefill_tokens_per_sec",
"decode_tokens_per_sec",
"aggregate_decode_tokens_per_sec",
"latency_p50_ms",
"latency_p95_ms",
"seam_bytes",
"seam_latency_ms",
"queue_wait_ms",
"peak_rss_bytes",
"peak_vram_bytes",
"failures"
],
"certification_scenarios": {
"stage_count": [
"2-4-stage",
"10-plus-stage"
],
"quantization": [
"Q4_K_M",
"Q8_0",
"bf16-reference"
]
}
},
"v4-flash-distributed": {
"role": "full DeepSeek V4 Flash (43 main layers plus reserved MTP; mHC 4x4096 boundary; 256 routed + 1 shared experts, six routed active) distributed route across a named certification stage-count scenario, MTP reserved and off",
"reference_baseline": "the existing production Meshnet distributed Route Session running DeepSeek V4 Flash over safetensors on the same node topology and network, where available; otherwise dense-distributed-gguf runtime/transport overhead is reported as an explicit limitation until DGR-044 pins a safetensors V4 baseline",
"prompt_ids": [
"short-instruction",
"code-completion",
"multi-step-reasoning"
],
"alpha_context_tokens": 4096,
"alpha_output_tokens": 128,
"alpha_concurrency_levels": [
1,
4
],
"beta_context_tokens": 16384,
"beta_output_tokens": 512,
"beta_concurrency_levels": [
1,
4,
8,
16
],
"beta_prompt_ids": [
"short-instruction",
"code-completion",
"multi-step-reasoning",
"long-context-fill"
],
"hardware": {
"topology": "named certification scenario only: 2-4-stage or 10-plus-stage real multi-machine route",
"network": "same LAN/WAN class as the existing production route it is compared against",
"device_class": "generic; not hardcoded to one backend. CPU/CUDA/ROCm/Vulkan/Metal lanes are certified separately per RALPH-CONTEXT.md and only advertised once real-hardware-certified",
"mtp": "reserved and off for alpha; ownership contract, implementation, and benchmark are required before beta per RALPH-CONTEXT.md"
},
"metrics": [
"ttft_p50_ms",
"ttft_p95_ms",
"prefill_tokens_per_sec",
"decode_tokens_per_sec",
"aggregate_decode_tokens_per_sec",
"latency_p50_ms",
"latency_p95_ms",
"seam_bytes",
"seam_latency_ms",
"queue_wait_ms",
"peak_rss_bytes",
"peak_vram_bytes",
"failures",
"mtp_enabled"
],
"certification_scenarios": {
"stage_count": [
"2-4-stage",
"10-plus-stage"
],
"quantization": [
"Q4_K_M",
"Q8_0",
"bf16-reference"
]
}
}
},
"gain_attribution": {
"quantization_model_fit_metrics": [
"resident_memory_ratio",
"artifact_size_ratio",
"exact_match_rate",
"mean_similarity",
"peak_rss_bytes",
"peak_vram_bytes"
],
"runtime_transport_batching_kernel_metrics": [
"decode_speedup",
"ttft_ratio",
"aggregate_throughput_speedup",
"seam_bytes",
"seam_latency_ms",
"queue_wait_ms",
"prefill_tokens_per_sec"
],
"rule": "A speed or fit claim must cite which axis moved it: a quantization/model-fit change (recipe swap, weight format) or a runtime/transport/batching/kernel change (ShardEngine, gRPC transport, batching, GGML kernel). A distributed-lane win may not be attributed to quantization when the reference recipe already used the same quantization, and a quantization win may not be attributed to distribution or transport."
},
"certification_scenarios": {
"quantization": {
"names": [
"Q4_K_M",
"Q8_0",
"bf16-reference"
],
"rule": "Named certification-scenario labels only. No product or runtime code path may branch on, default to, or hardcode a specific quantization string; quantization is a dynamic recipe input per RALPH-CONTEXT.md."
},
"stage_count": {
"names": [
"2-4-stage",
"10-plus-stage"
],
"rule": "Named certification-scenario labels only, matching DGR-053/DGR-061/DGR-062/DGR-067. No product or runtime code path may hardcode a stage-count range or assume exactly one of these layouts."
}
},
"alpha": {
"applies_to_lane": "v4-flash-distributed",
"reference_baseline_lane": "dense-distributed-gguf",
"correctness": {
"min_greedy_token_agreement": 0.9,
"min_mean_state_cosine_similarity": 0.999,
"forbid_nonfinite_tensors": true,
"require_fail_closed_on_fingerprint_mismatch": true,
"require_active_moe_routing": true,
"require_active_hash_routing_first_three_layers": true,
"dense_attention_fallback_satisfies_alpha": false
},
"useful_speed": {
"min_decode_speedup_vs_reference_baseline": 1.25,
"max_ttft_ratio_vs_reference_baseline": 1.25,
"min_aggregate_throughput_speedup_at_top_concurrency": 1.25,
"quality_pass_with_speed_fail_verdict": "stop",
"human_approval": {
"required": true,
"approved": false,
"approved_by": null,
"approved_at": null,
"approval_note": "The ratios above are the proposed useful-speed floor, held at the same 25% margin already locked for the whole-model contract (DGR-001/v1, meshnet_node.performance_contract.ContractThresholds). Alpha certification (DGR-054) may not treat useful-speed as satisfied on ratios alone: a human must explicitly approve the observed ratio against real DGR-020/dense/V4 evidence, and this record is the audit trail for that approval."
}
},
"mtp": {
"reserved": true,
"enabled_for_alpha": false,
"ownership_contract_and_benchmark_required_before_beta": true
},
"failure_tolerance": {
"max_failure_rate": 0.0
},
"verdicts": [
"alpha",
"optimize",
"stop"
],
"stop_condition": "Stop DeepSeek V4 Flash alpha certification when correctness fails (greedy token agreement, mean state cosine similarity, nonfinite tensors, or fail-closed fingerprint checks), or when useful-speed is not both numerically satisfied and explicitly human-approved against the reference baseline lane under this plan. A quality pass with a speed fail is always 'stop', never 'optimize' — see performance.quality_pass_with_speed_fail_verdict."
},
"beta": {
"applies_to_lane": "v4-flash-distributed",
"adds": [
"concurrency",
"long_context",
"failure",
"sustained_throughput"
],
"concurrency": {
"levels": [
1,
4,
8,
16
],
"min_aggregate_throughput_speedup_at_max_concurrency": 1.25,
"max_fairness_deviation": 0.2
},
"long_context": {
"context_tokens": 16384,
"min_greedy_token_agreement": 0.9,
"max_ttft_seconds_at_context": 600
},
"failure": {
"consecutive_clean_cold_starts": 2,
"require_worker_loss_aborts_route": true,
"require_cache_miss_and_reprefill_on_route_change": true,
"forbid_silent_kv_migration": true,
"synthetic_workers_satisfy_beta": false
},
"sustained_throughput": {
"min_duration_minutes": 30,
"max_throughput_degradation_ratio": 0.1
},
"verdicts": [
"beta",
"targeted-optimization",
"stop-rollback"
],
"stop_condition": "Stop or roll back DeepSeek V4 Flash beta when any beta-only threshold fails (concurrency fairness/throughput, long-context correctness or TTFT, failure-recovery semantics, or sustained-throughput degradation), when a required stage-count or quantization certification scenario has no real-hardware evidence, or when MTP evidence is missing given MTP is required before beta per RALPH-CONTEXT.md."
},
"amendment_policy": "Thresholds are locked before target execution and may not be weakened, moved, or reinterpreted after results are known. A change requires a new contract_id and contract_version under human review, and the superseded contract is retained. This applies independently of alpha.useful_speed.human_approval, which records sign-off on an observed ratio against these unchanged thresholds, not a change to the thresholds themselves.",
"contract_sha256": "cb5a482a8f142bf45b1dd401743d408acbfe5f85bab86023144a8c9485ac6379"
}

View File

@@ -0,0 +1,302 @@
"""Deterministic fake ``ShardEngine`` fixture (DGR-032).
``FakeShardEngine`` is a pure-Python, allocation-cheap subclass of
:class:`~meshnet_node.shard_engine.ShardEngine`: no llama.cpp, no native
buffers, no GPU, no filesystem or network I/O. Every prefill/decode output is
a deterministic pure function of ``(loaded range, request inputs,
idempotency_step)`` — hashed with SHA-256 — so replaying identical inputs on
a fresh session always yields byte-identical output. It exists so worker
wiring, gRPC harnesses (DGR-033), and lifecycle/session logic can be
exercised end-to-end before a real llama.cpp-backed engine (DGR-037) exists.
This is FIXTURE evidence only. ``EVIDENCE_CLASS`` is set to ``"fixture"`` (as
opposed to ``"real"``) precisely so a later story comparing engines
programmatically — DGR-036's fixture-vs-real-model parity check — can assert
it is actually comparing a fixture against a real engine rather than two
fixtures. This module proves lifecycle/session/epoch/fault-injection
semantics; it says nothing about numerical parity with a real model. Real-
model certification is DGR-036 onward (DGR-053/DGR-054 for V4 alpha).
Fault injection (delay, memory pressure, malformed output, crash) is
deterministic and opt-in via :class:`FakeShardEngineConfig`. Every knob
defaults to off, so a bare ``FakeShardEngine()`` reproduces plain
deterministic fixture behavior and passes
:func:`tests.shard_engine_contract.assert_shard_engine_contract` unmodified.
"""
from __future__ import annotations
import hashlib
import time
from dataclasses import dataclass
from typing import Callable
from .shard_engine import (
BoundaryBundle,
DecodeRequest,
EngineCapabilities,
EngineTensor,
HealthResult,
LoadRequest,
LoadResult,
MetricsResult,
PrefillRequest,
ShardEngine,
StepResult,
TokenOutput,
)
from .shard_lifecycle import CacheResult, StatusCode, StructuredStatus
__all__ = ["FakeShardEngineConfig", "FakeShardEngine", "TOKEN_ID_VOCAB_SIZE", "MALFORMED_TOKEN_ID_FLOOR"]
TOKEN_ID_VOCAB_SIZE = 50_000
# A malformed tail output is deterministically pushed past the fixture's own
# advertised vocabulary range, so a downstream consumer checking "is this
# token_id within the vocab this fixture promises" can detect it without any
# extra signalling from the engine.
MALFORMED_TOKEN_ID_FLOOR = 100_000_000
def _default_crash_exception() -> BaseException:
return RuntimeError(
"FakeShardEngine: injected crash (simulated process failure, not a StructuredStatus)"
)
@dataclass(frozen=True)
class FakeShardEngineConfig:
"""Deterministic fault-injection knobs.
Every knob is off (``0``/``None``/``False``) by default. ``sleep`` is
injectable so tests can assert a delay was requested without an actual
process sleep; ``crash_exception_factory`` is injectable so tests can
assert on a specific exception type/instance.
"""
step_delay_seconds: float = 0.0
sleep: Callable[[float], None] = time.sleep
memory_budget_bytes: int | None = None
malformed_output: bool = False
crash_after_calls: int | None = None
crash_exception_factory: Callable[[], BaseException] = _default_crash_exception
def __post_init__(self) -> None:
if self.step_delay_seconds < 0:
raise ValueError("step_delay_seconds must be non-negative")
if self.memory_budget_bytes is not None and self.memory_budget_bytes < 0:
raise ValueError("memory_budget_bytes must be non-negative")
if self.crash_after_calls is not None and self.crash_after_calls <= 0:
raise ValueError("crash_after_calls must be positive when set")
@dataclass
class _SessionState:
epoch: int
cancelled: bool = False
class FakeShardEngine(ShardEngine):
"""Deterministic fixture ``ShardEngine``. See module docstring."""
EVIDENCE_CLASS = "fixture"
def __init__(self, config: FakeShardEngineConfig | None = None) -> None:
self._config = config or FakeShardEngineConfig()
self._loaded: LoadRequest | None = None
self._sessions: dict[str, _SessionState] = {}
self._cancelled_total = 0
self._generated_tokens = 0
self._call_count = 0
self._bytes_used = 0
# -- lifecycle -----------------------------------------------------
def load(self, request: LoadRequest) -> LoadResult:
self._loaded = request
return LoadResult(
status=StructuredStatus(StatusCode.OK, "fake engine loaded"),
effective_start=request.shard_start,
architecture=str(request.recipe.get("architecture", "fake")),
)
def capabilities(self) -> EngineCapabilities:
if self._loaded is None:
return EngineCapabilities(
status=StructuredStatus(StatusCode.FAILED_PRECONDITION, "engine not loaded")
)
request = self._loaded
return EngineCapabilities(
status=StructuredStatus(StatusCode.OK, "ready"),
shard_start=request.shard_start,
shard_end=request.shard_end,
effective_start=request.shard_start,
total_layers=request.total_layers,
architecture=str(request.recipe.get("architecture", "fake")),
max_concurrent_sessions=64,
max_context_tokens=131072,
supports_mtp=False,
)
def prefill(self, request: PrefillRequest) -> StepResult:
return self._step(
session_id=request.session_id,
route_epoch=request.route_epoch,
idempotency_step=request.idempotency_step,
token_ids=request.token_ids,
input_bundle=request.input,
cache_result_on_success=CacheResult.STORED,
opens_session=True,
)
def decode(self, request: DecodeRequest) -> StepResult:
token_ids = (request.token_id,) if request.token_id is not None else None
return self._step(
session_id=request.session_id,
route_epoch=request.route_epoch,
idempotency_step=request.idempotency_step,
token_ids=token_ids,
input_bundle=request.input,
cache_result_on_success=CacheResult.HIT,
opens_session=False,
)
def cancel(self, session_id: str, *, work_id: str = "", reason: str = "") -> StructuredStatus:
session = self._sessions.get(session_id)
if session is None:
session = _SessionState(epoch=0)
self._sessions[session_id] = session
if not session.cancelled:
self._cancelled_total += 1
session.cancelled = True
return StructuredStatus(StatusCode.CANCELLED, reason or "fake engine: session cancelled")
def release(self, session_id: str) -> StructuredStatus:
self._sessions.pop(session_id, None)
return StructuredStatus(StatusCode.OK, "fake engine: session released")
def health(self) -> HealthResult:
loaded = self._loaded is not None
return HealthResult(
status=StructuredStatus(StatusCode.OK, "ok"),
serving=loaded,
state="SERVING" if loaded else "NOT_LOADED",
active_sessions=len(self._sessions),
)
def metrics(self) -> MetricsResult:
return MetricsResult(
status=StructuredStatus(StatusCode.OK, "ok"),
active_sessions=len(self._sessions),
queued_frames=0,
inflight_bytes=0,
kv_entries=len(self._sessions),
generated_tokens=self._generated_tokens,
cancelled_sessions=self._cancelled_total,
)
# -- shared step machinery ------------------------------------------
def _step(
self,
*,
session_id: str,
route_epoch: int,
idempotency_step: int,
token_ids: tuple[int, ...] | None,
input_bundle: BoundaryBundle | None,
cache_result_on_success: CacheResult,
opens_session: bool,
) -> StepResult:
if self._loaded is None:
return StepResult(status=StructuredStatus(StatusCode.FAILED_PRECONDITION, "engine not loaded"))
self._call_count += 1
if self._config.crash_after_calls is not None and self._call_count == self._config.crash_after_calls:
raise self._config.crash_exception_factory()
session = self._sessions.get(session_id)
if session is None:
if not opens_session:
return StepResult(
status=StructuredStatus(StatusCode.NOT_FOUND, "no cached session state for decode"),
cache_result=CacheResult.MISS,
)
session = _SessionState(epoch=route_epoch)
self._sessions[session_id] = session
if session.cancelled:
return StepResult(status=StructuredStatus(StatusCode.CANCELLED, "session cancelled"))
if route_epoch < session.epoch:
return StepResult(status=StructuredStatus(StatusCode.FAILED_PRECONDITION, "stale route epoch"))
session.epoch = route_epoch
if self._config.step_delay_seconds:
self._config.sleep(self._config.step_delay_seconds)
seed = self._seed_bytes(token_ids, input_bundle)
self._bytes_used += len(seed)
budget = self._config.memory_budget_bytes
if budget is not None and self._bytes_used > budget:
return StepResult(
status=StructuredStatus(
StatusCode.RESOURCE_EXHAUSTED,
"fake engine memory pressure budget exceeded",
retryable=True,
details={"memory_budget_bytes": str(budget), "bytes_used": str(self._bytes_used)},
)
)
output = self._transform(seed, idempotency_step, input_bundle)
if isinstance(output, TokenOutput):
self._generated_tokens += 1
return StepResult(status=StructuredStatus(StatusCode.OK, "ok"), cache_result=cache_result_on_success, output=output)
@staticmethod
def _seed_bytes(token_ids: tuple[int, ...] | None, bundle: BoundaryBundle | None) -> bytes:
if token_ids:
seed = b"".join(int(t).to_bytes(8, "big") for t in token_ids)
elif bundle is not None:
seed = b"".join(tensor.data for tensor in bundle.tensors)
if bundle.token_id_sideband:
seed += b"".join(int(t).to_bytes(8, "big") for t in bundle.token_id_sideband)
else:
seed = b""
return seed
def _transform(
self, seed: bytes, idempotency_step: int, input_bundle: BoundaryBundle | None
) -> BoundaryBundle | TokenOutput:
assert self._loaded is not None
digest = hashlib.sha256(seed + idempotency_step.to_bytes(8, "big")).digest()
loaded = self._loaded
is_tail = loaded.shard_end >= loaded.total_layers - 1
is_head = loaded.shard_start == 0
if is_tail:
token_id = int.from_bytes(digest[:4], "big") % TOKEN_ID_VOCAB_SIZE
if self._config.malformed_output:
token_id = MALFORMED_TOKEN_ID_FLOOR + token_id
return TokenOutput(token_id=token_id)
boundary_point = "post_head_residual" if is_head else "post_middle_residual"
architecture = (
input_bundle.architecture if input_bundle is not None else str(loaded.recipe.get("architecture", "fake"))
)
data = digest
if self._config.malformed_output:
architecture = f"malformed:{architecture}"
data = digest[:1]
tensor = EngineTensor(
name="hidden_states",
shape=(1, max(len(seed) // 8, 1)),
dtype="bfloat16",
data=data,
)
token_id_sideband = input_bundle.token_id_sideband if input_bundle is not None else None
return BoundaryBundle(
tensors=(tensor,),
architecture=architecture,
boundary_point=boundary_point,
token_id_sideband=token_id_sideband,
)

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"""Native activation transport over direct gRPC or the existing relay RPC.
This is deliberately a *seam adapter*, not a new relay protocol. Direct
peers use one generated ``ShardRuntime.Session`` bidi stream for the lifetime
of a Route Session. A relayed peer uses the relay's existing HTTP-shaped
binary-body contract: each body is exactly a serialized ``SessionRequest`` or
``SessionResponse``. The relay only routes those bytes and restores its own
request id; it does not deserialize a native frame.
The correlation headers are duplicated outside the opaque frame solely for
the existing tracker/relay observability and billing path. The authoritative
work, route, epoch, deadline, and cancellation information remains in the
versioned protobuf frame and is validated before it is sent.
"""
from __future__ import annotations
from collections.abc import Callable, Iterator
from dataclasses import dataclass
from queue import Empty, Full, Queue
import threading
import time
from typing import Protocol
from .native_protocol import pb
NATIVE_RELAY_PATH = "/native/session"
NATIVE_FRAME_CONTENT_TYPE = "application/x-protobuf"
class NativeActivationSeamError(RuntimeError):
"""The activation seam cannot safely continue this Route Session."""
class NativeActivationBufferFull(NativeActivationSeamError):
"""The caller exceeded the negotiated local hand-off buffer."""
class NativeActivationDisconnected(NativeActivationSeamError):
"""A direct or relay transport disconnected with an uncertain outcome."""
class RelayRequest(Protocol):
"""The existing ``_RelayHopClient.request`` shape, kept dependency-free."""
def __call__(
self, path: str, body: bytes, headers: dict[str, str]
) -> tuple[int, dict[str, str], bytes]: ...
@dataclass(frozen=True)
class NativeFrameContext:
"""Correlation owned by Meshnet around one opaque native frame."""
request_id: str
node_id: str
route_session_id: str
route_epoch: int
work_id: str = ""
deadline_unix_nanos: int = 0
def __post_init__(self) -> None:
if not self.request_id or not self.node_id or not self.route_session_id:
raise ValueError("request, node, and Route Session identities are required")
if self.route_epoch < 0 or self.deadline_unix_nanos < 0:
raise ValueError("route epoch and deadline must be non-negative")
def headers(self) -> dict[str, str]:
"""Headers retained by the existing relay/Tracker accounting path."""
return {
"Content-Type": NATIVE_FRAME_CONTENT_TYPE,
"X-Meshnet-Native-Frame": "shard-runtime/v1",
"X-Meshnet-Request-Id": self.request_id,
"X-Meshnet-Node-Id": self.node_id,
"X-Meshnet-Session": self.route_session_id,
"X-Meshnet-Route-Epoch": str(self.route_epoch),
"X-Meshnet-Work-Id": self.work_id,
"X-Meshnet-Deadline-Unix-Nanos": str(self.deadline_unix_nanos),
# The relay request id is restored on reply and is intentionally
# distinct from the caller/billing request id above.
"X-Meshnet-Activation-Id": self.request_id,
}
@dataclass(frozen=True)
class NativeSeamTelemetry:
transport: str
request_id: str
node_id: str
work_id: str
request_bytes: int
response_bytes: int
elapsed_seconds: float
TelemetrySink = Callable[[NativeSeamTelemetry], None]
def _request_identity(request: pb.SessionRequest) -> tuple[str, int, str, int]:
kind = request.WhichOneof("kind")
if kind == "open":
return request.open.route_session_id, request.open.route_epoch, "", 0
if kind == "chunk":
item = request.chunk.envelope
return item.route_session_id, item.route_epoch, item.work_id, item.deadline_unix_nanos
if kind == "decode":
# DecodeStep relies on the already opened Route Session, while work
# identity/deadline are carried on every decode frame.
return "", 0, request.decode.work_id, request.decode.deadline_unix_nanos
if kind in {"cancel", "release"}:
item = getattr(request, kind)
return item.route_session_id, item.route_epoch, item.work_id, 0
if kind == "flow_control":
return "", 0, "", 0
raise NativeActivationSeamError("native SessionRequest has no frame kind")
def _validate_request(request: pb.SessionRequest, context: NativeFrameContext) -> None:
if request.ByteSize() == 0:
raise NativeActivationSeamError("empty native SessionRequest is not a versioned frame")
route_session, epoch, work_id, deadline = _request_identity(request)
if route_session and route_session != context.route_session_id:
raise NativeActivationSeamError("native frame Route Session differs from seam context")
if route_session and epoch != context.route_epoch:
raise NativeActivationSeamError("native frame route epoch differs from seam context")
if context.work_id and work_id and work_id != context.work_id:
raise NativeActivationSeamError("native frame work identity differs from seam context")
if context.deadline_unix_nanos and deadline and deadline != context.deadline_unix_nanos:
raise NativeActivationSeamError("native frame deadline differs from seam context")
def _response_work_id(response: pb.SessionResponse) -> str:
kind = response.WhichOneof("kind")
if kind == "chunk":
return response.chunk.envelope.work_id
if kind == "ack":
return response.ack.work_id
if kind == "status":
return response.status.work_id
return ""
class NativeActivationSeam:
"""One Route-Session-to-worker seam with bounded direct buffering.
``direct_stub`` is the generated ``ShardRuntimeStub`` and is selected when
it is available. ``relay_request`` has the exact signature of the
existing persistent relay client; no relay server or bridge API changes
are needed. Relay calls are intentionally not retried: a failed send may
already have mutated downstream Hot KV state.
"""
def __init__(
self,
context: NativeFrameContext,
*,
direct_stub=None,
relay_request: RelayRequest | None = None,
max_buffered_frames: int = 8,
telemetry: TelemetrySink | None = None,
) -> None:
if (direct_stub is None) == (relay_request is None):
raise ValueError("provide exactly one of direct_stub or relay_request")
if max_buffered_frames < 1:
raise ValueError("max_buffered_frames must be positive")
self.context = context
self._direct_stub = direct_stub
self._relay_request = relay_request
self._telemetry = telemetry
self._closed = False
self._failure: BaseException | None = None
self._responses: Queue[pb.SessionResponse | BaseException] = Queue(maxsize=max_buffered_frames)
self._requests: Queue[pb.SessionRequest | object] | None = None
self._thread: threading.Thread | None = None
self._stop = object()
if direct_stub is not None:
self._requests = Queue(maxsize=max_buffered_frames)
self._thread = threading.Thread(target=self._run_direct, daemon=True, name="native-activation-grpc")
self._thread.start()
@property
def transport(self) -> str:
return "direct-grpc" if self._direct_stub is not None else "relay"
def _direct_requests(self) -> Iterator[pb.SessionRequest]:
assert self._requests is not None
while True:
item = self._requests.get()
if item is self._stop:
return
assert isinstance(item, pb.SessionRequest)
yield item
def _run_direct(self) -> None:
try:
assert self._direct_stub is not None
for response in self._direct_stub.Session(self._direct_requests()):
self._put_response(response)
except BaseException as exc:
self._failure = exc
self._put_response(exc)
def _put_response(self, value: pb.SessionResponse | BaseException) -> None:
# A worker may finish while a caller is abandoning the session. Do not
# let an unconsumed response turn into an unbounded producer queue.
try:
self._responses.put(value, timeout=0.1)
except Full:
self._failure = NativeActivationBufferFull("native response buffer is full")
def send(self, request: pb.SessionRequest) -> pb.SessionResponse | None:
"""Send one already-versioned protobuf frame without rewriting it."""
if self._closed:
raise NativeActivationDisconnected("native activation seam is closed")
if self._failure is not None:
raise NativeActivationDisconnected("native activation stream failed") from self._failure
_validate_request(request, self.context)
frame = request.SerializeToString()
if self._direct_stub is not None:
assert self._requests is not None
try:
self._requests.put_nowait(request)
except Full as exc:
raise NativeActivationBufferFull("native direct request buffer is full") from exc
return None
assert self._relay_request is not None
started = time.monotonic()
try:
status, _, response_frame = self._relay_request(NATIVE_RELAY_PATH, frame, self.context.headers())
except Exception as exc:
self._closed = True
raise NativeActivationDisconnected("relay outcome is uncertain; refusing replay") from exc
if status != 200:
self._closed = True
raise NativeActivationDisconnected(f"relay native frame returned HTTP {status}")
response = pb.SessionResponse()
try:
response.ParseFromString(response_frame)
except Exception as exc:
self._closed = True
raise NativeActivationSeamError("relay returned a malformed native response frame") from exc
self._validate_response(response)
self._record(len(frame), len(response_frame), started)
return response
def receive(self, timeout: float | None = None) -> pb.SessionResponse:
"""Receive the next response from the one long-lived direct stream."""
if self._direct_stub is None:
raise NativeActivationSeamError("relay sends return their response synchronously")
try:
value = self._responses.get(timeout=timeout)
except Empty as exc:
raise TimeoutError("timed out waiting for native direct response") from exc
if isinstance(value, BaseException):
raise NativeActivationDisconnected("native direct stream disconnected") from value
self._validate_response(value)
# gRPC owns its framing, but this records the actual protobuf payload
# size at the seam for the same telemetry shape as relay.
self._record(0, len(value.SerializeToString()), time.monotonic())
return value
def cancel(self, reason: str = "cancelled") -> pb.SessionResponse | None:
"""Propagate cancellation through the same path and correlation fields."""
return self.send(pb.SessionRequest(cancel=pb.CancelSignal(
route_session_id=self.context.route_session_id,
route_epoch=self.context.route_epoch,
work_id=self.context.work_id,
reason=reason,
)))
def _validate_response(self, response: pb.SessionResponse) -> None:
work_id = _response_work_id(response)
if self.context.work_id and work_id and work_id != self.context.work_id:
raise NativeActivationSeamError("native response work identity differs from seam context")
def _record(self, request_bytes: int, response_bytes: int, started: float) -> None:
if self._telemetry is not None:
self._telemetry(NativeSeamTelemetry(
transport=self.transport, request_id=self.context.request_id,
node_id=self.context.node_id, work_id=self.context.work_id,
request_bytes=request_bytes, response_bytes=response_bytes,
elapsed_seconds=max(0.0, time.monotonic() - started),
))
def close(self) -> None:
if self._closed:
return
self._closed = True
if self._requests is not None:
try:
self._requests.put_nowait(self._stop)
except Full:
# The bounded queue is intentionally never expanded during
# shutdown; the worker will observe process/session teardown.
pass
if self._thread is not None:
self._thread.join(timeout=1.0)

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"""Register a verified native Shard through the ordinary capability contract.
This is intentionally an adapter, not a second tracker protocol. It converts
the native worker's immutable identity and enforced resource limits into the
same capability report every backend may submit. The tracker remains the sole
owner of certification and decides whether the visible registration is dark.
"""
from __future__ import annotations
from collections.abc import Callable
from dataclasses import dataclass
from typing import Any
from .capability import ExecutionCapacity, RoutingMeasurements, build_capability_report
from .native_worker_supervisor import NativeWorkerProbe, NativeWorkerSpec, NativeWorkerSupervisor
from .runtime_recipe import ShardIdentity
class NativeRegistrationError(ValueError):
"""Native facts do not describe one coherent, registerable Shard."""
@dataclass(frozen=True)
class NativeShardRegistration:
"""One backend-neutral registration payload for a verified native Shard."""
endpoint: str
model_id: str
identity: ShardIdentity
worker: NativeWorkerSpec
probe: NativeWorkerProbe
device: str
capacity: ExecutionCapacity
duration_ms: int = 0
routing: RoutingMeasurements | None = None
def __post_init__(self) -> None:
if not self.endpoint:
raise NativeRegistrationError("native registration requires an endpoint")
if not self.model_id:
raise NativeRegistrationError("native registration requires a model id")
if not self.device:
raise NativeRegistrationError("native registration requires a device label")
if self.identity.artifact.artifact_id != self.model_id:
raise NativeRegistrationError("native registration model does not match its identity")
if self.identity.fingerprint.model_artifact_digest != self.worker.artifact_digest:
raise NativeRegistrationError("native worker artifact digest does not match its identity")
if self.identity.fingerprint.runtime_recipe_digest != self.worker.recipe_digest:
raise NativeRegistrationError("native worker recipe digest does not match its identity")
expected = (
self.worker.artifact_digest,
self.worker.recipe_digest,
self.worker.recipe_id,
self.worker.recipe_version,
self.worker.catalogue_version,
self.worker.shard_start,
self.worker.shard_end,
)
actual = (
self.probe.artifact_digest,
self.probe.recipe_digest,
self.probe.recipe_id,
self.probe.recipe_version,
self.probe.catalogue_version,
self.probe.shard_start,
self.probe.shard_end,
)
if actual != expected:
raise NativeRegistrationError("native worker probe differs from its startup identity/range")
if not self.probe.serving:
raise NativeRegistrationError("native worker is not serving; it cannot register a capability")
if (
self.identity.shard_start,
self.identity.shard_end,
self.identity.recipe.recipe_id,
self.identity.recipe.recipe_version,
self.identity.recipe.catalogue_version,
) != (
self.worker.shard_start,
self.worker.shard_end,
self.worker.recipe_id,
self.worker.recipe_version,
self.worker.catalogue_version,
):
raise NativeRegistrationError("native identity differs from worker range or recipe labels")
if self.identity.recipe.axes["backend_id"] == "":
raise NativeRegistrationError("native identity must name its backend")
def payload(self) -> dict[str, Any]:
"""Return the existing tracker registration shape with no native branch."""
report = build_capability_report(
model_id=self.model_id,
shard_start=self.identity.shard_start,
shard_end=self.identity.shard_end - 1,
recipe_id=self.identity.recipe.recipe_id,
recipe_version=self.identity.recipe.recipe_version,
catalogue_version=self.identity.recipe.catalogue_version,
backend_id=self.identity.recipe.axes["backend_id"],
device=self.device,
quantization=self.identity.recipe.axes["weight_quantization"],
model_config="sha256:" + self.identity.artifact.architecture_digest,
revision=self.identity.artifact.revision,
status="passed",
duration_ms=self.duration_ms,
identity=self.identity,
capacity=self.capacity,
routing=self.routing,
)
payload = {
"endpoint": self.endpoint,
"model": self.model_id.rsplit("/", 1)[-1],
"hf_repo": self.model_id,
"shard_start": self.identity.shard_start,
"shard_end": self.identity.shard_end - 1,
"recipe_id": self.identity.recipe.recipe_id,
"recipe_version": self.identity.recipe.recipe_version,
"capability_report": report.to_dict(),
# Existing tracker capacity fields are retained for placement views.
"ram_bytes": self.capacity.memory_capacity_bytes or 0,
"max_loaded_shards": 1,
}
# These are the trackers established dynamic scoring inputs. The
# exact same optional report can be sent by any backend; no native
# route or balancing branch is introduced here.
if self.routing is not None:
if self.routing.tokens_per_second is not None:
payload["benchmark_tokens_per_sec"] = self.routing.tokens_per_second
if self.routing.queue_depth is not None:
payload["queue_depth"] = self.routing.queue_depth
return payload
RegistrationSender = Callable[[dict[str, Any]], None]
WithdrawalSender = Callable[[str], None]
class NativeCapabilityRegistrar:
"""Publish/withdraw a native capability through caller-owned transport.
The callbacks keep tracker HTTP, relay, billing, and provider mechanics out
of the native worker. A process supervisor calls ``withdraw`` on health
loss; the caller supplies the existing tracker registration/withdrawal
transport appropriate to its deployment.
"""
def __init__(
self,
registration: NativeShardRegistration,
*,
register: RegistrationSender,
withdraw: WithdrawalSender,
) -> None:
self.registration = registration
self._register = register
self._withdraw = withdraw
def publish(self) -> None:
self._register(self.registration.payload())
def unavailable(self, reason: str) -> None:
self._withdraw(reason)
def bind(self, supervisor: NativeWorkerSupervisor) -> None:
"""Publish only after DGR-040 verification; withdraw on health loss."""
if supervisor.spec != self.registration.worker:
raise NativeRegistrationError("registrar and supervisor must own the same native worker")
supervisor.add_availability_callbacks(
on_available=lambda _reason: self.publish(),
on_unavailable=self.unavailable,
)

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"""Lifecycle supervision for the standalone native Shard worker (DGR-040).
This module deliberately has no dependency on ``TorchNodeServer``. A native
worker is an optional backend process; a failed worker must withdraw only its
own capability, never mutate or stop the existing Transformers backend. DGR-041
will connect the availability callbacks to backend-agnostic registration.
"""
from __future__ import annotations
import hashlib
import os
import re
import signal
import subprocess
import threading
from collections import deque
from collections.abc import Callable, Mapping
from dataclasses import dataclass, field
from pathlib import Path
from .native_protocol import SCHEMA_VERSION, pb
class NativeWorkerError(RuntimeError):
"""The configured worker cannot safely be started or trusted."""
_SHA256 = re.compile(r"^[0-9a-f]{64}$")
@dataclass(frozen=True)
class NativeWorkerSpec:
"""The immutable identity and launch command for one native worker."""
binary: Path
binary_digest: str
listen_address: str
artifact_path: Path
artifact_digest: str
recipe_digest: str
recipe_id: str
recipe_version: str
catalogue_version: str
shard_start: int
shard_end: int
args: tuple[str, ...] = ()
extra_environment: Mapping[str, str] = field(default_factory=dict)
def __post_init__(self) -> None:
if not self.listen_address:
raise ValueError("native worker requires a listen address")
if self.shard_start < 0 or self.shard_end <= self.shard_start:
raise ValueError("native worker range must be a non-empty half-open range")
for name in ("binary_digest", "artifact_digest", "recipe_digest"):
if not _SHA256.fullmatch(getattr(self, name)):
raise ValueError(f"native worker requires a lowercase SHA-256 {name}")
for name in ("recipe_id", "recipe_version", "catalogue_version"):
if not getattr(self, name):
raise ValueError(f"native worker requires {name}")
def environment(self) -> dict[str, str]:
"""Return the one startup identity the C++ worker must receive."""
result = dict(os.environ)
result.update({str(key): str(value) for key, value in self.extra_environment.items()})
result.update(
{
"MESHNET_SHARD_LISTEN_ADDR": self.listen_address,
"MESHNET_MODEL_ARTIFACT": str(self.artifact_path),
"MESHNET_MODEL_ARTIFACT_DIGEST": self.artifact_digest,
"MESHNET_RUNTIME_RECIPE_DIGEST": self.recipe_digest,
"MESHNET_RECIPE_ID": self.recipe_id,
"MESHNET_RECIPE_VERSION": self.recipe_version,
"MESHNET_CATALOGUE_VERSION": self.catalogue_version,
"MESHNET_SHARD_START_LAYER": str(self.shard_start),
"MESHNET_SHARD_END_LAYER": str(self.shard_end),
}
)
return result
@dataclass(frozen=True)
class NativeWorkerProbe:
"""The capability/health facts accepted by supervision after process launch."""
artifact_digest: str
recipe_digest: str
recipe_id: str
recipe_version: str
catalogue_version: str
shard_start: int
shard_end: int
serving: bool
detail: str = ""
WorkerProbe = Callable[[NativeWorkerSpec, float], NativeWorkerProbe]
AvailabilityCallback = Callable[[str], None]
class NativeWorkerSupervisor:
"""Own one worker process, its bounded logs, readiness and availability.
``start`` does not make a capability available merely because a child was
spawned: it verifies the executable and artifact bytes, waits for the
worker's readiness line, then proves the worker's reported identity and
serving health. A caller may inject ``probe`` for model-free tests; the
default performs the real gRPC capability and health calls.
"""
def __init__(
self,
spec: NativeWorkerSpec,
*,
probe: WorkerProbe | None = None,
readiness_timeout: float = 15.0,
health_timeout: float = 3.0,
health_interval: float = 5.0,
shutdown_timeout: float = 10.0,
kill_timeout: float = 3.0,
log_lines: int = 200,
on_available: AvailabilityCallback | None = None,
on_unavailable: AvailabilityCallback | None = None,
) -> None:
if min(readiness_timeout, health_timeout, health_interval, shutdown_timeout, kill_timeout) <= 0:
raise ValueError("native worker timeouts must be positive")
self.spec = spec
self._probe = probe or _grpc_probe
self._readiness_timeout = readiness_timeout
self._health_timeout = health_timeout
self._health_interval = health_interval
self._shutdown_timeout = shutdown_timeout
self._kill_timeout = kill_timeout
self._logs: deque[str] = deque(maxlen=log_lines)
self._on_available = on_available
self._on_unavailable = on_unavailable
self._process: subprocess.Popen[str] | None = None
self._ready = threading.Event()
self._stop_monitor = threading.Event()
self._lock = threading.RLock()
self._monitor: threading.Thread | None = None
self._available = False
self._unavailable_reason = "not started"
self._generation = 0
@property
def available(self) -> bool:
with self._lock:
return self._available
@property
def unavailable_reason(self) -> str:
with self._lock:
return self._unavailable_reason
@property
def logs(self) -> tuple[str, ...]:
with self._lock:
return tuple(self._logs)
@property
def pid(self) -> int | None:
with self._lock:
return None if self._process is None else self._process.pid
def start(self) -> NativeWorkerProbe:
"""Start and verify a previously stopped worker before publishing it."""
with self._lock:
if self._process is not None and self._process.poll() is None:
raise NativeWorkerError("native worker is already running; use restart()")
self._verify_startup_inputs()
self._ready.clear()
self._stop_monitor.clear()
command = [str(self.spec.binary), *self.spec.args]
try:
self._process = subprocess.Popen(
command,
stdin=subprocess.DEVNULL,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
bufsize=1,
env=self.spec.environment(),
start_new_session=True,
)
except OSError as exc:
self._process = None
raise NativeWorkerError(f"could not start native worker: {exc}") from exc
self._generation += 1
generation = self._generation
process = self._process
for stream_name, stream in (("stdout", process.stdout), ("stderr", process.stderr)):
assert stream is not None
threading.Thread(
target=self._capture_stream,
args=(stream_name, stream),
daemon=True,
).start()
if not self._ready.wait(self._readiness_timeout):
self._fail_start("worker did not report readiness before timeout")
if process.poll() is not None:
self._fail_start(f"worker exited during startup with code {process.returncode}")
try:
result = self._probe(self.spec, self._health_timeout)
self._verify_probe(result)
except Exception as exc:
self._fail_start(f"worker failed capability/health probe: {exc}")
with self._lock:
if self._process is not process or process.poll() is not None:
self._fail_start("worker exited while capability was being verified")
self._available = True
self._unavailable_reason = ""
self._monitor = threading.Thread(
target=self._monitor_loop, args=(generation, process), daemon=True
)
self._monitor.start()
if self._on_available is not None:
self._on_available("worker ready and identity verified")
return result
def add_availability_callbacks(
self,
*,
on_available: AvailabilityCallback | None = None,
on_unavailable: AvailabilityCallback | None = None,
) -> None:
"""Attach an integration callback before the worker is started.
Registration is deliberately supplied by the caller so this supervisor
stays independent of Tracker HTTP and of every other backend.
"""
with self._lock:
if self._process is not None:
raise NativeWorkerError("availability callbacks must be attached before start")
self._on_available = _combine_callbacks(self._on_available, on_available)
self._on_unavailable = _combine_callbacks(self._on_unavailable, on_unavailable)
def restart(self) -> NativeWorkerProbe:
"""Withdraw the old capability, stop its process, then prove a fresh one."""
self.stop(reason="worker restart requested")
return self.start()
def stop(self, *, reason: str = "worker stopped") -> None:
"""Gracefully terminate the owned process, escalating only after a bound."""
with self._lock:
process = self._process
self._stop_monitor.set()
self._process = None
self._mark_unavailable(reason)
if process is None or process.poll() is not None:
return
_terminate_process_group(process, self._shutdown_timeout, self._kill_timeout)
def check_health(self) -> bool:
"""Run one bounded health check and withdraw availability on failure."""
with self._lock:
process = self._process
if process is None or process.poll() is not None:
self._mark_unavailable("worker process exited")
return False
try:
result = self._probe(self.spec, self._health_timeout)
self._verify_probe(result)
except Exception as exc:
self._mark_unavailable(f"worker health lost: {exc}")
return False
return True
def _verify_startup_inputs(self) -> None:
if not self.spec.binary.is_file() or not os.access(self.spec.binary, os.X_OK):
raise NativeWorkerError(f"native worker binary is not executable: {self.spec.binary}")
if _sha256_file(self.spec.binary) != self.spec.binary_digest:
raise NativeWorkerError("native worker binary digest does not match its immutable pin")
if not self.spec.artifact_path.is_file():
raise NativeWorkerError(f"native worker artifact is missing: {self.spec.artifact_path}")
digest = _sha256_file(self.spec.artifact_path)
if digest != self.spec.artifact_digest:
raise NativeWorkerError("native worker artifact digest does not match its immutable pin")
def _verify_probe(self, probe: NativeWorkerProbe) -> None:
expected = self.spec
actual = (
probe.artifact_digest,
probe.recipe_digest,
probe.recipe_id,
probe.recipe_version,
probe.catalogue_version,
probe.shard_start,
probe.shard_end,
)
wanted = (
expected.artifact_digest,
expected.recipe_digest,
expected.recipe_id,
expected.recipe_version,
expected.catalogue_version,
expected.shard_start,
expected.shard_end,
)
if actual != wanted:
raise NativeWorkerError("worker probe identity/range differs from configured startup identity")
if not probe.serving:
raise NativeWorkerError(f"worker is not serving: {probe.detail or 'no detail'}")
def _capture_stream(self, stream_name: str, stream) -> None:
for raw_line in stream:
line = f"{stream_name}: {raw_line.rstrip()}"
with self._lock:
self._logs.append(line)
if raw_line.startswith("ShardRuntime worker listening on "):
self._ready.set()
def _monitor_loop(self, generation: int, process: subprocess.Popen[str]) -> None:
while not self._stop_monitor.wait(self._health_interval):
with self._lock:
if generation != self._generation or self._process is not process:
return
if process.poll() is not None:
self._mark_unavailable(f"worker process exited with code {process.returncode}")
return
if not self.check_health():
return
def _fail_start(self, reason: str) -> None:
self.stop(reason=reason)
raise NativeWorkerError(reason)
def _mark_unavailable(self, reason: str) -> None:
callback = None
with self._lock:
was_available = self._available
self._available = False
self._unavailable_reason = reason
if was_available:
callback = self._on_unavailable
if callback is not None:
callback(reason)
def _sha256_file(path: Path) -> str:
digest = hashlib.sha256()
with path.open("rb") as file:
for chunk in iter(lambda: file.read(1024 * 1024), b""):
digest.update(chunk)
return digest.hexdigest()
def _combine_callbacks(
first: AvailabilityCallback | None, second: AvailabilityCallback | None
) -> AvailabilityCallback | None:
if first is None:
return second
if second is None:
return first
def combined(reason: str) -> None:
first(reason)
second(reason)
return combined
def _terminate_process_group(
process: subprocess.Popen[str], shutdown_timeout: float, kill_timeout: float
) -> None:
try:
os.killpg(process.pid, signal.SIGTERM)
except ProcessLookupError:
return
try:
process.wait(timeout=shutdown_timeout)
return
except subprocess.TimeoutExpired:
pass
try:
os.killpg(process.pid, signal.SIGKILL)
except ProcessLookupError:
return
try:
process.wait(timeout=kill_timeout)
except subprocess.TimeoutExpired as exc:
raise NativeWorkerError("native worker did not terminate after SIGKILL") from exc
def _grpc_probe(spec: NativeWorkerSpec, timeout: float) -> NativeWorkerProbe:
"""Default real wire probe; importing grpc lazily preserves CLI startup."""
import grpc
from .native_protocol.generated import shard_runtime_pb2_grpc as pb_grpc
channel = grpc.insecure_channel(spec.listen_address)
try:
grpc.channel_ready_future(channel).result(timeout=timeout)
stub = pb_grpc.ShardRuntimeStub(channel)
capability = stub.GetCapability(pb.CapabilityRequest(schema_version=SCHEMA_VERSION), timeout=timeout)
health = stub.Health(pb.HealthRequest(schema_version=SCHEMA_VERSION), timeout=timeout)
finally:
channel.close()
fingerprint = capability.fingerprint
shard_range = capability.shard_range
return NativeWorkerProbe(
artifact_digest=fingerprint.model_artifact_digest,
recipe_digest=fingerprint.runtime_recipe_digest,
recipe_id=fingerprint.recipe_id,
recipe_version=fingerprint.recipe_version,
catalogue_version=fingerprint.catalogue_version,
shard_start=shard_range.start_layer,
shard_end=shard_range.end_layer,
serving=(
capability.validated
and health.state == pb.SERVING_STATE_SERVING
),
detail=health.detail or capability.detail,
)

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@@ -0,0 +1,218 @@
"""Authoritative dense-Llama owned-range reports from the loaded engine state.
DGR-034 loads only the tensors a shard range owns through the Meshnet
owned-range loader (``llama_model_params::meshnet_owned_layer_start/end`` in
the pinned llama.cpp patch stack). The project-owned ``meshnet-range-report``
native tool runs that load and prints a JSON document derived from the loaded
model state — the registered tensor set and the backend buffers — never from
caller-asserted values. This module is the strict consumer of that document:
it parses it into :class:`OwnedRangeReport` and fails closed on any
inconsistency, so a range or endpoint claim that the loaded engine state does
not back is rejected before it can reach identity, admission, or routing.
Ownership contract enforced here (dense Llama only):
- every registered ``blk.N.*`` tensor lies inside the half-open owned range
``[start, end)``, and every layer in that range is present — a gapped or
out-of-range registration is rejected;
- ``token_embd.weight`` is registered only by the head shard (``start == 0``),
or by a tail shard whose model ties the output head to the embedding
(``end == n_layer`` and no separate ``output.weight``);
- ``output_norm.weight`` and ``output.weight`` are registered only by the
tail shard (``end == n_layer``);
- any other registered tensor name is unexpected and rejected;
- byte counts are consistent: an mmap load maps a file span at least the
registered tensor bytes and at most the artifact size; a non-mmap load
reports a resident allocation at least the registered tensor bytes.
"""
from __future__ import annotations
from dataclasses import dataclass
from typing import Any, Mapping
class RangeReportError(ValueError):
"""A range report is malformed, or the loaded state breaks ownership."""
_DENSE_ARCHITECTURE = "llama"
_INT_FIELDS = (
"n_layer",
"file_bytes",
"mapped_bytes",
"resident_bytes",
"registered_tensors",
"registered_bytes",
)
_BOOL_FIELDS = (
"mmap",
"touched",
"has_token_embeddings",
"has_output_head",
"tied_output_head",
)
@dataclass(frozen=True)
class OwnedRangeReport:
"""One validated owned-range load, derived from loaded engine state.
``start_layer``/``end_layer`` are the authoritative half-open owned range
the engine actually registered (the tool already refused a report whose
loaded bounds differ from the requested ones). ``has_token_embeddings`` is
true for the head shard, and also for a tail shard on a tied-output model
(the embedding tensor *is* its output head); ``tied_output_head``
disambiguates those two cases. ``mapped_bytes``/``resident_bytes`` come
from the backend buffers: with mmap they are the mapped file span holding
the owned tensors, without mmap the resident allocation holding them.
"""
architecture: str
n_layer: int
start_layer: int
end_layer: int
has_token_embeddings: bool
has_output_head: bool
tied_output_head: bool
mapped_bytes: int
resident_bytes: int
registered_tensors: int
registered_bytes: int
file_bytes: int
mmap: bool
touched: bool
vm_size_bytes: int | None
vm_rss_bytes: int | None
vm_hwm_bytes: int | None
@property
def is_head(self) -> bool:
return self.start_layer == 0
@property
def is_tail(self) -> bool:
return self.end_layer == self.n_layer
def __post_init__(self) -> None:
if self.architecture != _DENSE_ARCHITECTURE:
raise RangeReportError(
f"owned-range loading supports dense Llama only, got {self.architecture!r}"
)
if isinstance(self.n_layer, bool) or self.n_layer < 1:
raise RangeReportError("report must record a positive GGUF block count")
for name in _INT_FIELDS:
value = getattr(self, name)
if isinstance(value, bool) or not isinstance(value, int) or value < 0:
raise RangeReportError(f"report field {name!r} must be a non-negative integer")
for name in _BOOL_FIELDS:
if not isinstance(getattr(self, name), bool):
raise RangeReportError(f"report field {name!r} must be a boolean")
if not 0 <= self.start_layer < self.end_layer <= self.n_layer:
raise RangeReportError(
f"owned range [{self.start_layer}, {self.end_layer}) is empty or "
f"outside the model's {self.n_layer} layers"
)
if self.tied_output_head and not self.is_tail:
raise RangeReportError("a tied output head can only belong to the tail shard")
expected_embeddings = self.is_head or self.tied_output_head
if self.has_token_embeddings != expected_embeddings:
raise RangeReportError(
"token-embedding registration disagrees with endpoint ownership: "
"embeddings belong to the head shard (or to a tied-output tail)"
)
if self.has_output_head != self.is_tail:
raise RangeReportError(
"output-head registration disagrees with endpoint ownership: "
"the final norm and output head belong to the tail shard"
)
if self.registered_tensors < 1 or self.registered_bytes < 1:
raise RangeReportError("the owned range registered no tensors")
if self.file_bytes < 1:
raise RangeReportError("report must record the artifact size")
if self.mmap:
if self.mapped_bytes < self.registered_bytes:
raise RangeReportError(
"mapped span undercounts the registered owned tensors"
)
if self.mapped_bytes > self.file_bytes:
raise RangeReportError("mapped span exceeds the artifact size")
else:
if self.mapped_bytes != 0:
raise RangeReportError("a non-mmap load must not claim a mapped span")
if self.resident_bytes < self.registered_bytes:
raise RangeReportError(
"resident allocation undercounts the registered owned tensors"
)
for name in ("vm_size_bytes", "vm_rss_bytes", "vm_hwm_bytes"):
value = getattr(self, name)
if value is not None and (
isinstance(value, bool) or not isinstance(value, int) or value < 0
):
raise RangeReportError(f"report field {name!r} must be a non-negative integer or null")
def _require_range(doc: Mapping[str, Any], key: str) -> tuple[int, int]:
value = doc.get(key)
if (
not isinstance(value, (list, tuple))
or len(value) != 2
or any(isinstance(v, bool) or not isinstance(v, int) for v in value)
):
raise RangeReportError(f"report field {key!r} must be a [start, end] integer pair")
return value[0], value[1]
def parse_owned_range_report(doc: Mapping[str, Any]) -> OwnedRangeReport:
"""Parse and validate one ``meshnet-range-report`` JSON document.
Fails closed: a load the tool rejected (``ok: false``), a requested range
the loaded state did not match, a gapped or out-of-range registration, an
unexpected registered tensor, and any byte-count inconsistency all raise
:class:`RangeReportError` instead of producing a report.
"""
if not isinstance(doc, Mapping):
raise RangeReportError("range report must be a JSON object")
if doc.get("ok") is not True:
error = doc.get("error")
detail = f": {error}" if isinstance(error, str) and error else ""
raise RangeReportError(f"the owned-range load was rejected{detail}")
requested = _require_range(doc, "requested_range")
reported = _require_range(doc, "reported_range")
if requested != reported:
raise RangeReportError(
f"reported range {reported} does not match the requested range {requested}; "
"ownership must be derived from the loaded engine state"
)
for key in ("unexpected_registered_tensors", "missing_owned_layers"):
value = doc.get(key)
if not isinstance(value, list):
raise RangeReportError(f"report field {key!r} must be a list")
if value:
raise RangeReportError(
f"ownership audit failed: {key} is {value!r}; the registered "
"tensor set must exactly cover the owned range and its endpoints"
)
architecture = doc.get("architecture")
if not isinstance(architecture, str):
raise RangeReportError("report field 'architecture' must be a string")
fields: dict[str, Any] = {}
for name in _INT_FIELDS + _BOOL_FIELDS:
if name not in doc:
raise RangeReportError(f"range report is missing field {name!r}")
fields[name] = doc[name]
for name in ("vm_size_bytes", "vm_rss_bytes", "vm_hwm_bytes"):
fields[name] = doc.get(name)
return OwnedRangeReport(
architecture=architecture,
start_layer=reported[0],
end_layer=reported[1],
**fields,
)

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@@ -0,0 +1,372 @@
"""The project-owned ``ShardEngine`` contract (DGR-031).
A worker process (the gRPC surface in ``shard_runtime_server.py``, or any
future transport) never talks to llama.cpp directly. It talks to a
``ShardEngine``. This module is the *only* place that boundary is defined, and
every operation on it is built from project-owned dataclasses and plain
Python values (``str``, ``int``, ``bytes``, ``Mapping``) — never a
``ggml_tensor``, a llama context/scheduler handle, or a generated-protobuf
(ABI) message. A fake fixture engine (DGR-032) and a real llama.cpp-backed
engine (DGR-037) are both, structurally, nothing more than subclasses of
:class:`ShardEngine`; the worker code that calls them does not change when one
replaces the other.
This is deliberately a fourth, distinct layer from the three that already
exist:
- ``native_protocol`` — the generated gRPC/Protobuf wire ABI (DGR-021/024).
- ``protocol.ActivationEnvelope`` — the versioned wire envelope for activation
traffic between shard *hops* over the network (DGR-021).
- ``shard_lifecycle`` — the versioned RPC/session lifecycle contract a
generated gRPC binding consumes (DGR-022).
``ShardEngine`` sits *inside* one worker process, below all three: it is the
seam between "the code that speaks Meshnet's wire protocol" and "the code
that actually runs model layers." It reuses :class:`~meshnet_node.shard_lifecycle.StructuredStatus`,
:class:`~meshnet_node.shard_lifecycle.StatusCode`, :class:`~meshnet_node.shard_lifecycle.CacheExpectation`,
and :class:`~meshnet_node.shard_lifecycle.CacheResult` rather than inventing a
parallel status vocabulary, since those are already project-owned and
version-stable.
"""
from __future__ import annotations
import abc
from dataclasses import dataclass, field
from typing import Any, Mapping
from .shard_lifecycle import (
CacheExpectation,
CacheResult,
StatusCode,
StructuredStatus,
)
__all__ = [
"EngineError",
"EngineTensor",
"BoundaryBundle",
"TokenOutput",
"MtpHook",
"ArchitectureAuxStateHook",
"LoadRequest",
"LoadResult",
"EngineCapabilities",
"PrefillRequest",
"DecodeRequest",
"StepResult",
"HealthResult",
"MetricsResult",
"ShardEngine",
]
class EngineError(RuntimeError):
"""An engine-boundary failure represented by a structured status.
Mirrors :class:`~meshnet_node.shard_lifecycle.LifecycleContractError`:
callers pattern-match on ``error.status.code`` rather than on exception
subclasses, so a fake and a real engine can fail the exact same way for
the exact same reason.
"""
def __init__(self, status: StructuredStatus) -> None:
self.status = status
super().__init__(status.message)
@dataclass(frozen=True)
class EngineTensor:
"""One named tensor crossing the engine boundary.
Intentionally not a ``ggml_tensor`` or a framework tensor object: ``data``
is plain owned bytes, ``shape``/``dtype`` are plain metadata. An
implementation constructs this from whatever internal representation it
uses (a ``torch.Tensor``, a llama.cpp buffer, a synthetic fixture array)
without leaking that representation across the boundary.
"""
name: str
shape: tuple[int, ...]
dtype: str
data: bytes
def __post_init__(self) -> None:
if not self.name:
raise ValueError("engine tensor requires a name")
if not self.shape or any(dim <= 0 for dim in self.shape):
raise ValueError("engine tensor shape must be a non-empty tuple of positive ints")
if not self.dtype:
raise ValueError("engine tensor requires a dtype")
@dataclass(frozen=True)
class BoundaryBundle:
"""A named-tensor activation crossing a shard boundary (head/middle/tail-in).
``token_id_sideband`` carries token IDs alongside the activation only
where the architecture boundary requires them (V4's first three
hash-routed MoE layers); it is ``None`` everywhere else. Per-shard hot
KV/recurrent/CSA/HCA/SWA/indexer/compressor state never appears here — it
stays local to a shard via :class:`ArchitectureAuxStateHook` and is never
part of what crosses the wire.
"""
tensors: tuple[EngineTensor, ...]
architecture: str
boundary_point: str
token_id_sideband: tuple[int, ...] | None = None
def __post_init__(self) -> None:
if not self.tensors:
raise ValueError("boundary bundle requires at least one tensor")
if not self.architecture:
raise ValueError("boundary bundle requires an architecture name")
if not self.boundary_point:
raise ValueError("boundary bundle requires a boundary point name")
def tensor(self, name: str) -> EngineTensor:
for tensor in self.tensors:
if tensor.name == name:
return tensor
raise KeyError(name)
@dataclass(frozen=True)
class TokenOutput:
"""A tail shard's sampled decode result.
Never a raw logits tensor: the engine boundary only ever hands back the
already-sampled token (mirroring
:meth:`meshnet_node.architecture_boundary.TailOutput.sampled_token`, which
likewise refuses anything but a sampled token id).
"""
token_id: int
text: str | None = None
def __post_init__(self) -> None:
if self.token_id < 0:
raise ValueError("sampled token id must be non-negative")
@dataclass(frozen=True)
class MtpHook:
"""Reserved multi-token-prediction hook — typed, but refused when enabled.
RALPH-CONTEXT is explicit that "MTP is reserved and off for alpha; its
ownership contract, implementation, and benchmark are required before
beta" (DGR-065/DGR-066). Reserving the shape now means DGR-037's real
engine and DGR-051's V4 adapter do not have to change this dataclass's
field layout later; they only flip ``enabled`` once DGR-066 lands.
"""
enabled: bool = False
draft_token_count: int = 0
aux_state: Mapping[str, Any] | None = None
def __post_init__(self) -> None:
if self.enabled:
raise ValueError(
"MTP is reserved and must remain disabled before DGR-066; "
"this hook exists to fix its shape, not to enable it"
)
if self.draft_token_count < 0:
raise ValueError("draft_token_count must be non-negative")
@dataclass(frozen=True)
class ArchitectureAuxStateHook:
"""Reserved per-shard architecture auxiliary-state hook.
Covers V4's CSA/HCA/SWA/indexer/compressor state and any other
architecture-local state a future adapter needs. RALPH-CONTEXT locks this
as shard-local, keyed by route session/epoch, and explicitly never carried
over the WAN seam — so this hook has no wire encoding of its own and must
never be embedded inside a :class:`BoundaryBundle`.
"""
kind: str = ""
state: Mapping[str, Any] | None = None
@dataclass(frozen=True)
class LoadRequest:
"""One exact artifact/recipe/range identity for a worker to load."""
artifact_path: str
shard_start: int
shard_end: int
total_layers: int
recipe: Mapping[str, Any] = field(default_factory=dict)
def __post_init__(self) -> None:
if not self.artifact_path:
raise ValueError("load request requires an artifact path")
if self.shard_start < 0 or self.shard_end < self.shard_start:
raise ValueError("shard_start must be <= shard_end and non-negative")
if self.total_layers <= self.shard_end:
raise ValueError("total_layers must exceed shard_end (shard_end is inclusive)")
@dataclass(frozen=True)
class LoadResult:
status: StructuredStatus
effective_start: int = 0
architecture: str = ""
@dataclass(frozen=True)
class EngineCapabilities:
status: StructuredStatus
shard_start: int = 0
shard_end: int = 0
effective_start: int = 0
total_layers: int = 0
architecture: str = ""
max_concurrent_sessions: int = 0
max_context_tokens: int = 0
supports_mtp: bool = False
@property
def is_head(self) -> bool:
return self.shard_start == 0
@property
def is_tail(self) -> bool:
return self.shard_end >= self.total_layers - 1
@dataclass(frozen=True)
class PrefillRequest:
"""A prefill step. Exactly one of ``token_ids`` (head) or ``input`` (middle/tail) is set."""
session_id: str
route_epoch: int
position: int
idempotency_step: int
token_ids: tuple[int, ...] | None = None
input: BoundaryBundle | None = None
cache_expectation: CacheExpectation = CacheExpectation.NONE
mtp: MtpHook = field(default_factory=MtpHook)
architecture_aux_state: ArchitectureAuxStateHook | None = None
def __post_init__(self) -> None:
_require_exactly_one_input(self.token_ids, self.input)
if not self.session_id:
raise ValueError("prefill request requires a session id")
if self.route_epoch < 0 or self.position < 0 or self.idempotency_step < 0:
raise ValueError("route_epoch, position, and idempotency_step must be non-negative")
@dataclass(frozen=True)
class DecodeRequest:
"""A decode step. Exactly one of ``token_id`` (head) or ``input`` (middle/tail) is set."""
session_id: str
route_epoch: int
position: int
idempotency_step: int
token_id: int | None = None
input: BoundaryBundle | None = None
mtp: MtpHook = field(default_factory=MtpHook)
architecture_aux_state: ArchitectureAuxStateHook | None = None
def __post_init__(self) -> None:
_require_exactly_one_input(
None if self.token_id is None else (self.token_id,), self.input
)
if not self.session_id:
raise ValueError("decode request requires a session id")
if self.route_epoch < 0 or self.position < 0 or self.idempotency_step < 0:
raise ValueError("route_epoch, position, and idempotency_step must be non-negative")
def _require_exactly_one_input(
token_ids: tuple[int, ...] | None, bundle: BoundaryBundle | None
) -> None:
if (token_ids is None) == (bundle is None):
raise ValueError("exactly one of token ids or a boundary bundle must be set")
@dataclass(frozen=True)
class StepResult:
"""The result of a prefill or decode step.
``output`` is a :class:`BoundaryBundle` for a head/middle shard handing an
activation to the next hop, or a :class:`TokenOutput` for a tail shard
that sampled a token. It is ``None`` only when ``status.code`` is not
``OK``.
"""
status: StructuredStatus
cache_result: CacheResult = CacheResult.NOT_REQUESTED
output: BoundaryBundle | TokenOutput | None = None
def __post_init__(self) -> None:
if self.status.code is StatusCode.OK and self.output is None:
raise ValueError("a successful step result must carry an output")
@dataclass(frozen=True)
class HealthResult:
status: StructuredStatus
serving: bool = False
state: str = "UNKNOWN"
active_sessions: int = 0
@dataclass(frozen=True)
class MetricsResult:
status: StructuredStatus
active_sessions: int = 0
queued_frames: int = 0
inflight_bytes: int = 0
kv_entries: int = 0
generated_tokens: int = 0
cancelled_sessions: int = 0
class ShardEngine(abc.ABC):
"""The contract every shard execution engine (fake or real) must implement.
Every method returns a project-owned result carrying a
:class:`~meshnet_node.shard_lifecycle.StructuredStatus` rather than
raising for expected, protocol-visible outcomes (a cache miss, a stale
epoch, an unknown session); an :class:`EngineError` is reserved for
genuine programming errors at the call site (malformed request objects),
which the request dataclasses' own ``__post_init__`` validation already
catches before an implementation ever sees them.
"""
@abc.abstractmethod
def load(self, request: LoadRequest) -> LoadResult:
"""Load one exact artifact/recipe/range identity. Idempotent per engine instance."""
@abc.abstractmethod
def capabilities(self) -> EngineCapabilities:
"""Report this engine's authoritative range and limits after ``load``."""
@abc.abstractmethod
def prefill(self, request: PrefillRequest) -> StepResult:
"""Run one prefill step for a session."""
@abc.abstractmethod
def decode(self, request: DecodeRequest) -> StepResult:
"""Run one decode step for a session."""
@abc.abstractmethod
def cancel(self, session_id: str, *, work_id: str = "", reason: str = "") -> StructuredStatus:
"""Cancel a session (or one work item within it) in flight."""
@abc.abstractmethod
def release(self, session_id: str) -> StructuredStatus:
"""Release a session's held state. Idempotent."""
@abc.abstractmethod
def health(self) -> HealthResult:
"""Report liveness/serving state. Must never raise."""
@abc.abstractmethod
def metrics(self) -> MetricsResult:
"""Report point-in-time operational counters. Must never raise."""

View File

@@ -33,6 +33,7 @@ portability — identical to ``CHECKSUM_ALGORITHM_CRC32C`` in the schema.
from __future__ import annotations
import hashlib
import json
import os
import threading
@@ -101,10 +102,12 @@ class WireCapture:
with self._lock:
self.responses.append(bytes(raw))
def to_dict(self) -> dict[str, list[str]]:
def to_dict(self) -> dict[str, list[str] | str]:
return {
"requests": [r.hex() for r in self.requests],
"responses": [r.hex() for r in self.responses],
"requests_sha256": hashlib.sha256(b"".join(self.requests)).hexdigest(),
"responses_sha256": hashlib.sha256(b"".join(self.responses)).hexdigest(),
}

View File

@@ -0,0 +1,39 @@
"""Exact split-GGUF artifact manifest and mounted-drive provisioning (DGR-026)."""
from __future__ import annotations
from .manifest import (
SourceArtifact,
SplitArtifactManifest,
SplitArtifactManifestError,
SplitFile,
TokenizerRef,
load_split_artifact_manifest,
parse_split_artifact_manifest,
)
from .provision import (
ProvisionResult,
SplitProvisionError,
http_split_fetcher,
local_directory_fetcher,
provision_split_artifact,
reject_home_path,
verify_provisioned_split_artifact,
)
__all__ = [
"SourceArtifact",
"SplitArtifactManifest",
"SplitArtifactManifestError",
"SplitFile",
"TokenizerRef",
"load_split_artifact_manifest",
"parse_split_artifact_manifest",
"ProvisionResult",
"SplitProvisionError",
"http_split_fetcher",
"local_directory_fetcher",
"provision_split_artifact",
"reject_home_path",
"verify_provisioned_split_artifact",
]

View File

@@ -0,0 +1,323 @@
"""Exact split-GGUF artifact manifest (DGR-026).
A split-GGUF artifact is only as trustworthy as its binding to the whole-model
artifact it was cut from. This module defines the manifest that makes a set of
split files an *exact*, checkable artifact rather than a pile of files someone
happened to name plausibly: it pins the source artifact's own content hash, the
tokenizer/revision the splits were tokenized against, and — per split — the
exact file name, size, cryptographic hash, and its range/role within the
source.
Quantization and split topology (how many splits, which layers each one
covers) are recipe inputs recorded on the manifest, never constants in this
module. A manifest with two splits and one with twenty are both valid; nothing
here assumes a stage count or a fixed layer range. Provisioning
(:mod:`meshnet_node.split_gguf.provision`) consumes whatever this manifest
declares.
This module mirrors two existing conventions rather than inventing new ones:
the DGR-017 pinned-shard manifest shape (`meshnet_node.glm_alpha.manifest`) for
per-file identity records, and the DGR-003 `DerivativeBinding` range/source
convention (`meshnet_node.runtime_recipe`) for binding a split to its source by
digest and half-open layer range.
"""
from __future__ import annotations
import hashlib
import json
import re
from dataclasses import dataclass
from pathlib import Path
from typing import Any, Mapping
SPLIT_ARTIFACT_MANIFEST_SCHEMA_VERSION = 1
_SHA256_RE = re.compile(r"\A[0-9a-f]{64}\Z")
_REVISION_RE = re.compile(r"\A[0-9a-f]{40}\Z")
class SplitArtifactManifestError(ValueError):
"""Raised when a split-GGUF manifest is missing, malformed, or self-inconsistent."""
def canonical_sha256(value: Any) -> str:
"""SHA-256 over canonical JSON — the repository's digest convention."""
payload = json.dumps(value, sort_keys=True, separators=(",", ":"), ensure_ascii=False)
return hashlib.sha256(payload.encode("utf-8")).hexdigest()
def _require_mapping(value: Any, what: str, origin: str) -> Mapping[str, Any]:
if not isinstance(value, Mapping):
raise SplitArtifactManifestError(
f"{what} in {origin} must be a JSON object, got {type(value).__name__}"
)
return value
def _require_text(value: Any, what: str, origin: str) -> str:
if not isinstance(value, str) or not value.strip():
raise SplitArtifactManifestError(f"{what} in {origin} must be a non-empty string")
return value
def _require_int(value: Any, what: str, origin: str, minimum: int = 0) -> int:
if not isinstance(value, int) or isinstance(value, bool):
raise SplitArtifactManifestError(
f"{what} in {origin} must be an integer, got {type(value).__name__}"
)
if value < minimum:
raise SplitArtifactManifestError(f"{what} in {origin} must be >= {minimum}, got {value}")
return value
def _require_sha256(value: Any, what: str, origin: str) -> str:
text = _require_text(value, what, origin)
if not _SHA256_RE.match(text):
raise SplitArtifactManifestError(
f"{what} in {origin} must be a lowercase 64-character hex SHA-256, got {text!r}"
)
return text
def _require_revision(value: Any, what: str, origin: str) -> str:
text = _require_text(value, what, origin)
if not _REVISION_RE.match(text):
raise SplitArtifactManifestError(
f"{what} in {origin} must be a full 40-character commit revision, got {text!r}; "
"a branch name, tag, or short SHA is not an immutable pin"
)
return text
@dataclass(frozen=True)
class SourceArtifact:
"""The whole-model artifact every split in this manifest was cut from."""
artifact_id: str
repo_id: str
revision: str
sha256: str
size_bytes: int
def to_dict(self) -> dict:
return {
"artifact_id": self.artifact_id,
"repo_id": self.repo_id,
"revision": self.revision,
"sha256": self.sha256,
"size_bytes": self.size_bytes,
}
@dataclass(frozen=True)
class TokenizerRef:
"""The exact tokenizer/revision the split artifact's routing assumes."""
repo_id: str
revision: str
sha256: str
def to_dict(self) -> dict:
return {"repo_id": self.repo_id, "revision": self.revision, "sha256": self.sha256}
@dataclass(frozen=True)
class SplitFile:
"""One split-GGUF file: name, size, hash, and its role/range in the source.
`shard_start`/`shard_end` are half-open (end-exclusive), matching the
`DerivativeBinding` protocol convention in `meshnet_node.runtime_recipe`.
They are optional because not every split is a layer range — a shared
embedding or tokenizer-adjacent split may carry only a `role` label — but
when present they must describe a real, non-empty range.
"""
name: str
size_bytes: int
sha256: str
role: str
url: str = ""
shard_start: int | None = None
shard_end: int | None = None
def __post_init__(self) -> None:
if (self.shard_start is None) != (self.shard_end is None):
raise SplitArtifactManifestError(
f"split {self.name!r} must declare both shard_start and shard_end, or neither"
)
if self.shard_start is not None and self.shard_end is not None:
if self.shard_start < 0:
raise SplitArtifactManifestError(f"split {self.name!r} shard_start must be >= 0")
if self.shard_end <= self.shard_start:
raise SplitArtifactManifestError(
f"split {self.name!r} shard_end ({self.shard_end}) must be greater than "
f"shard_start ({self.shard_start}); an empty range covers nothing"
)
@property
def has_range(self) -> bool:
return self.shard_start is not None
def to_dict(self) -> dict:
doc: dict[str, Any] = {
"name": self.name,
"size_bytes": self.size_bytes,
"sha256": self.sha256,
"role": self.role,
"url": self.url,
}
if self.has_range:
doc["shard_start"] = self.shard_start
doc["shard_end"] = self.shard_end
return doc
@dataclass(frozen=True)
class SplitArtifactManifest:
"""A parsed, self-consistent exact split-GGUF artifact manifest."""
schema_version: int
manifest_id: str
manifest_version: str
quantization: str
source: SourceArtifact
tokenizer: TokenizerRef
total_bytes: int
splits: tuple[SplitFile, ...]
raw: Mapping[str, Any]
origin: str = "<memory>"
@property
def digest(self) -> str:
"""Stable identity of this manifest, for binding into the DGR-003 recipe identity."""
return canonical_sha256(self.raw)
def split(self, name: str) -> SplitFile:
for split in self.splits:
if split.name == name:
return split
raise SplitArtifactManifestError(f"split {name!r} is not in {self.origin}")
def to_dict(self) -> dict:
return dict(self.raw)
def _parse_splits(raw: Any, expected_total: int, origin: str) -> tuple[SplitFile, ...]:
if not isinstance(raw, list) or not raw:
raise SplitArtifactManifestError(f"'splits' in {origin} must be a non-empty JSON array")
splits: list[SplitFile] = []
seen_names: set[str] = set()
seen_sha: set[str] = set()
for position, entry in enumerate(raw):
item = _require_mapping(entry, f"splits[{position}]", origin)
name = _require_text(item.get("name"), f"splits[{position}].name", origin)
if name in seen_names:
raise SplitArtifactManifestError(f"duplicate split name {name!r} in {origin}")
seen_names.add(name)
size_bytes = _require_int(item.get("size_bytes"), f"splits[{name}].size_bytes", origin, minimum=1)
sha256 = _require_sha256(item.get("sha256"), f"splits[{name}].sha256", origin)
if sha256 in seen_sha:
raise SplitArtifactManifestError(
f"split {name!r} repeats SHA-256 {sha256}; two distinct splits cannot "
"have the same content digest"
)
seen_sha.add(sha256)
role = _require_text(item.get("role"), f"splits[{name}].role", origin)
url = item.get("url", "")
if not isinstance(url, str):
raise SplitArtifactManifestError(f"splits[{name}].url in {origin} must be a string")
shard_start = item.get("shard_start")
shard_end = item.get("shard_end")
if shard_start is not None:
shard_start = _require_int(shard_start, f"splits[{name}].shard_start", origin, minimum=0)
if shard_end is not None:
shard_end = _require_int(shard_end, f"splits[{name}].shard_end", origin, minimum=1)
splits.append(
SplitFile(
name=name,
size_bytes=size_bytes,
sha256=sha256,
role=role,
url=url,
shard_start=shard_start,
shard_end=shard_end,
)
)
summed = sum(split.size_bytes for split in splits)
if summed != expected_total:
raise SplitArtifactManifestError(
f"declared total_bytes {expected_total} in {origin} does not equal the sum of "
f"the split sizes {summed}; the manifest is not self-consistent"
)
return tuple(splits)
def parse_split_artifact_manifest(data: Any, origin: str = "<memory>") -> SplitArtifactManifest:
"""Validate an already-decoded split-artifact manifest document, failing closed."""
doc = _require_mapping(data, "manifest root", origin)
schema_version = _require_int(doc.get("schema_version"), "'schema_version'", origin, minimum=1)
if schema_version != SPLIT_ARTIFACT_MANIFEST_SCHEMA_VERSION:
raise SplitArtifactManifestError(
f"{origin} declares split-artifact manifest schema version {schema_version}, "
f"but this reader understands version {SPLIT_ARTIFACT_MANIFEST_SCHEMA_VERSION}"
)
manifest_id = _require_text(doc.get("manifest_id"), "'manifest_id'", origin)
manifest_version = _require_text(doc.get("manifest_version"), "'manifest_version'", origin)
quantization = _require_text(doc.get("quantization"), "'quantization'", origin)
source_doc = _require_mapping(doc.get("source"), "'source'", origin)
source = SourceArtifact(
artifact_id=_require_text(source_doc.get("artifact_id"), "source.artifact_id", origin),
repo_id=_require_text(source_doc.get("repo_id"), "source.repo_id", origin),
revision=_require_revision(source_doc.get("revision"), "source.revision", origin),
sha256=_require_sha256(source_doc.get("sha256"), "source.sha256", origin),
size_bytes=_require_int(source_doc.get("size_bytes"), "source.size_bytes", origin, minimum=1),
)
tokenizer_doc = _require_mapping(doc.get("tokenizer"), "'tokenizer'", origin)
tokenizer = TokenizerRef(
repo_id=_require_text(tokenizer_doc.get("repo_id"), "tokenizer.repo_id", origin),
revision=_require_revision(tokenizer_doc.get("revision"), "tokenizer.revision", origin),
sha256=_require_sha256(tokenizer_doc.get("sha256"), "tokenizer.sha256", origin),
)
total_bytes = _require_int(doc.get("total_bytes"), "'total_bytes'", origin, minimum=1)
splits = _parse_splits(doc.get("splits"), total_bytes, origin)
return SplitArtifactManifest(
schema_version=schema_version,
manifest_id=manifest_id,
manifest_version=manifest_version,
quantization=quantization,
source=source,
tokenizer=tokenizer,
total_bytes=total_bytes,
splits=splits,
raw=doc,
origin=origin,
)
def load_split_artifact_manifest(path: Path) -> SplitArtifactManifest:
"""Load and validate a split-artifact manifest from *path*."""
try:
raw = path.read_text(encoding="utf-8")
except OSError as exc:
raise SplitArtifactManifestError(f"cannot read split-artifact manifest {path}: {exc.strerror or exc}") from exc
try:
data = json.loads(raw)
except json.JSONDecodeError as exc:
raise SplitArtifactManifestError(
f"{path} is not valid JSON: {exc.msg} at line {exc.lineno} column {exc.colno}"
) from exc
return parse_split_artifact_manifest(data, origin=str(path))

View File

@@ -0,0 +1,206 @@
"""Resumable, hash-verifying provisioning of exact split-GGUF artifacts (DGR-026).
Model artifacts must use configured mounted-drive storage and never `/home`
(RALPH-CONTEXT). This module is the enforcement point: every entry point here
resolves and rejects a destination under `/home` before touching disk, mirroring
the existing `artifact_storage_root` check in
`meshnet_node.recipe_drivers._validate_config`.
Provisioning never trusts a partially-downloaded file. Each split is staged as
`<name>.partial` so an interrupted run resumes from the exact byte offset
already on disk — a `SplitFetcher` is handed that offset and is responsible for
continuing from it — and a partial is promoted to its final name only after its
SHA-256 matches the manifest exactly. A short, truncated, or hash-mismatched
split is deleted and raises rather than being silently accepted or left on disk
to be mistaken for complete later.
"""
from __future__ import annotations
import hashlib
import shutil
import urllib.request
from dataclasses import dataclass
from pathlib import Path
from typing import Callable
from .manifest import SplitArtifactManifest, SplitFile
_CHUNK_SIZE = 4 * 1024 * 1024
_HOME_ROOT = Path("/home")
class SplitProvisionError(ValueError):
"""Raised when provisioning cannot produce a manifest-conformant local artifact."""
def reject_home_path(root: Path | str) -> Path:
"""Resolve *root* and fail closed if it is (or is under) `/home`.
Does not require *root* to exist yet — provisioning creates it — so this
performs the same structural check as
`meshnet_node.recipe_drivers._validate_config` without `strict=True`.
"""
resolved = Path(root).expanduser().resolve()
if not resolved.is_absolute() or resolved == _HOME_ROOT or _HOME_ROOT in resolved.parents:
raise SplitProvisionError(
f"refusing to provision split-GGUF artifacts under {resolved}: model artifacts "
"must use configured mounted-drive storage, never /home"
)
return resolved
def _sha256_file(path: Path) -> str:
digest = hashlib.sha256()
with path.open("rb") as f:
for chunk in iter(lambda: f.read(_CHUNK_SIZE), b""):
digest.update(chunk)
return digest.hexdigest()
# fetch(split, partial_dest, resume_from_bytes) must, on success, leave
# partial_dest containing exactly the bytes of `split` starting from byte 0,
# with total length equal to split.size_bytes; resume_from_bytes bytes are
# already present at the start of partial_dest and must not be re-fetched.
SplitFetcher = Callable[[SplitFile, Path, int], None]
def local_directory_fetcher(source_dir: Path) -> SplitFetcher:
"""A fetcher that copies split bytes from files already present in *source_dir*.
No network access. Used by deterministic tests against tiny local
fixtures, and for provisioning from splits already staged on another local
or mounted path (e.g. a pre-synced mirror).
"""
source_dir = Path(source_dir)
def fetch(split: SplitFile, dest: Path, resume_from_bytes: int) -> None:
source_path = source_dir / split.name
if not source_path.is_file():
raise SplitProvisionError(f"split source is missing: {source_path}")
mode = "r+b" if resume_from_bytes else "wb"
dest.parent.mkdir(parents=True, exist_ok=True)
if not dest.exists():
dest.touch()
with source_path.open("rb") as src, dest.open(mode) as out:
src.seek(resume_from_bytes)
out.seek(resume_from_bytes)
out.truncate(resume_from_bytes)
shutil.copyfileobj(src, out, length=_CHUNK_SIZE)
return fetch
def http_split_fetcher(url_for: Callable[[SplitFile], str], timeout: float = 30.0) -> SplitFetcher:
"""A fetcher that downloads each split over HTTP(S) with Range-header resume.
Falls back to a full restart if the server ignores the `Range` request
(some static hosts return `200` with the whole body instead of `206`).
"""
def fetch(split: SplitFile, dest: Path, resume_from_bytes: int) -> None:
request = urllib.request.Request(url_for(split))
if resume_from_bytes:
request.add_header("Range", f"bytes={resume_from_bytes}-")
dest.parent.mkdir(parents=True, exist_ok=True)
with urllib.request.urlopen(request, timeout=timeout) as resp:
resumed = bool(resume_from_bytes) and getattr(resp, "status", 200) == 206
with dest.open("ab" if resumed else "wb") as out:
shutil.copyfileobj(resp, out, length=_CHUNK_SIZE)
return fetch
@dataclass(frozen=True)
class ProvisionResult:
dest_dir: Path
verified_splits: tuple[str, ...]
def to_dict(self) -> dict:
return {"dest_dir": str(self.dest_dir), "verified_splits": list(self.verified_splits)}
def provision_split_artifact(
manifest: SplitArtifactManifest,
dest_dir: Path,
fetch: SplitFetcher,
) -> ProvisionResult:
"""Provision every split in *manifest* under *dest_dir*: resumable, hash-verified.
Refuses any destination under `/home`. A split already present at the
correct size and hash is left untouched (a re-run is a no-op); a file
present with the wrong size or hash is deleted and re-fetched rather than
trusted. On success every split is byte- and hash-verified against the
manifest before this function returns.
"""
dest_dir = reject_home_path(dest_dir)
dest_dir.mkdir(parents=True, exist_ok=True)
verified: list[str] = []
for split in manifest.splits:
final_path = dest_dir / split.name
if (
final_path.is_file()
and final_path.stat().st_size == split.size_bytes
and _sha256_file(final_path) == split.sha256
):
verified.append(split.name)
continue
if final_path.is_file():
final_path.unlink()
partial_path = dest_dir / f"{split.name}.partial"
resume_from = partial_path.stat().st_size if partial_path.is_file() else 0
if resume_from > split.size_bytes:
partial_path.unlink()
resume_from = 0
if resume_from < split.size_bytes:
fetch(split, partial_path, resume_from)
actual_size = partial_path.stat().st_size if partial_path.is_file() else 0
if actual_size != split.size_bytes:
raise SplitProvisionError(
f"split {split.name!r} is incomplete after provisioning: "
f"got {actual_size} of {split.size_bytes} bytes"
)
actual_sha256 = _sha256_file(partial_path)
if actual_sha256 != split.sha256:
partial_path.unlink()
raise SplitProvisionError(
f"split {split.name!r} hash mismatch: expected {split.sha256}, got {actual_sha256}"
)
partial_path.replace(final_path)
verified.append(split.name)
verify_provisioned_split_artifact(manifest, dest_dir)
return ProvisionResult(dest_dir=dest_dir, verified_splits=tuple(verified))
def verify_provisioned_split_artifact(manifest: SplitArtifactManifest, dest_dir: Path) -> None:
"""Fail closed unless every manifest split is present, complete, and hash-exact.
This is the check a downstream loader — or a resumed provisioning run —
should call before trusting *dest_dir*, so a partially-provisioned
directory is never mistaken for a ready artifact.
"""
dest_dir = reject_home_path(dest_dir)
missing: list[str] = []
mismatched: list[str] = []
for split in manifest.splits:
path = dest_dir / split.name
if not path.is_file():
missing.append(split.name)
continue
if path.stat().st_size != split.size_bytes:
mismatched.append(split.name)
continue
if _sha256_file(path) != split.sha256:
mismatched.append(split.name)
if missing:
raise SplitProvisionError(f"missing split(s) in {dest_dir}: {sorted(missing)}")
if mismatched:
raise SplitProvisionError(f"hash/size mismatch for split(s) in {dest_dir}: {sorted(mismatched)}")

View File

@@ -62,6 +62,29 @@ message(STATUS "Pinned gRPC ${gRPC_VERSION}: building ShardRuntime service stubs
enable_testing()
# DGR-037: the standalone worker owns exactly one loaded llama.cpp artifact.
# Its implementation types stay in worker/llama_shard_engine.cpp; the gRPC
# service receives only the project-owned ShardEngine surface.
set(MESHNET_LLAMA_SOURCE_DIR "${CMAKE_SOURCE_DIR}/../../../build/llama.cpp/source" CACHE PATH
"Applied pinned llama.cpp source directory")
set(MESHNET_LLAMA_LIBRARY_DIR "${CMAKE_SOURCE_DIR}/../../../build/llama.cpp/build/bin" CACHE PATH
"Directory containing the matching applied-patch libllama")
find_path(MESHNET_LLAMA_INCLUDE_DIR llama.h PATHS "${MESHNET_LLAMA_SOURCE_DIR}/include" NO_DEFAULT_PATH REQUIRED)
find_path(MESHNET_LLAMA_GGML_INCLUDE_DIR ggml.h PATHS "${MESHNET_LLAMA_SOURCE_DIR}/ggml/include" NO_DEFAULT_PATH REQUIRED)
find_library(MESHNET_LLAMA_LIBRARY NAMES llama PATHS "${MESHNET_LLAMA_LIBRARY_DIR}" NO_DEFAULT_PATH REQUIRED)
add_executable(shard_worker
worker/shard_worker_main.cpp
worker/shard_service.cpp
worker/llama_shard_engine.cpp)
target_include_directories(shard_worker PRIVATE "${CMAKE_CURRENT_SOURCE_DIR}/worker" "${MESHNET_LLAMA_INCLUDE_DIR}" "${MESHNET_LLAMA_GGML_INCLUDE_DIR}")
target_link_libraries(shard_worker PRIVATE shard_runtime_grpc gRPC::grpc++ "${MESHNET_LLAMA_LIBRARY}")
set_target_properties(shard_worker PROPERTIES BUILD_RPATH "${MESHNET_LLAMA_LIBRARY_DIR}")
# Pure-C++ CTest: the worker binds an ephemeral port, self-drives the full
# lifecycle (capability, health, fragmented prefill, decode, release) over a
# real loopback gRPC channel, and exits non-zero on any mismatch. This proves
# the worker serves the contract without needing a Python environment.
add_executable(shard_protocol_conformance tests/test_shard_protocol_conformance.cpp)
target_link_libraries(shard_protocol_conformance PRIVATE shard_runtime_proto)

View File

@@ -76,3 +76,26 @@ self-consistent. Instead:
Byte equality across the two implementations is the claim; anything less is two
parallel test suites that can drift apart.
## DGR-037 standalone llama.cpp worker
`shard_worker` is no longer a model-free fixture. It refuses to start until it
can load one exact, range-attested GGUF identity through the pinned patched
llama.cpp library. Supply these environment variables from the node-owned
recipe/materialization layer (never from a stream request):
```bash
MESHNET_MODEL_ARTIFACT=/mounted/models/model.gguf \
MESHNET_MODEL_ARTIFACT_DIGEST=sha256:<artifact> \
MESHNET_RUNTIME_RECIPE_DIGEST=sha256:<recipe> \
MESHNET_RECIPE_ID=dense-llama MESHNET_RECIPE_VERSION=1 MESHNET_CATALOGUE_VERSION=1 \
MESHNET_SHARD_START_LAYER=0 MESHNET_SHARD_END_LAYER=32 \
build/native/shard_worker 127.0.0.1:50051
```
The worker publishes that loaded identity and llama.cpp-derived resident bytes
in capability/health responses, and only accepts the exact same range and
fingerprint at `SessionOpen`. `MESHNET_INJECT_PROCESS_DEATH_AFTER_EXECUTIONS=N`
is an opt-in test hook: after the Nth admitted execution the process exits 70,
which is intentionally observable by the future node supervisor; it is not a
recover-in-process mechanism.

View File

@@ -28,6 +28,12 @@ One numbered patch per concern (ADR-0024 local seams only):
5. `0005-worker-range-report-hook.patch` (worker hooks) exposes the
`llama_model_meshnet_range_report` C API the project-owned worker binds to
and registers a model-free native fixture test for it.
6. `0006-meshnet-range-report-tool.patch` (range reporting) adds the
project-owned `meshnet-range-report` tool: it loads one GGUF artifact
through the owned-range loader and prints a JSON document derived from the
loaded model state — the owned-range report, the registered tensor set
audited against the requested ownership, and backend-buffer byte counts.
It never builds or runs a compute graph.
Meshnet routing, Tracker, gRPC, relay, billing, authentication, and telemetry
remain outside this directory; the stack is checked for such control-plane

View File

@@ -10,21 +10,23 @@
"method": "git-clone-detached-commit",
"workspace": "build/llama.cpp"
},
"patched_tree": "c0045714735ae5ee7b7334a480d8ac04e03e1b18",
"patched_tree": "8f7e87fea6743f0b9744afe44f9e6f9ca3b7d08a",
"upstream_license": "MIT",
"patch_series": [
"0001-cmake-reserve-meshnet-patch-stack-abi-marker.patch",
"0002-dense-llama-owned-range-loading.patch",
"0003-owned-range-filtered-state-report.patch",
"0004-dense-boundary-io-endpoint-guard.patch",
"0005-worker-range-report-hook.patch"
"0005-worker-range-report-hook.patch",
"0006-meshnet-range-report-tool.patch"
],
"patch_scope": [
"Reserved CMake ABI marker only; no execution or model semantics.",
"Range loading: dense-Llama owned-range params, validation, and filtered tensor registration with endpoint ownership.",
"Filtered state: owned-range report populated from registered tensors and backend buffers, derived never asserted.",
"Boundary I/O: endpoint ownership flags and a fail-closed dense graph guard until typed endpoint adapters exist.",
"Worker hooks: public C range-report API and the model-free native fixture test the project-owned worker binds to."
"Worker hooks: public C range-report API and the model-free native fixture test the project-owned worker binds to.",
"Range reporting: project-owned tool that loads one artifact through the owned-range loader and reports derived ownership and buffer-byte state as JSON."
],
"patch_assumptions": "patches/UPSTREAM-ASSUMPTIONS.json",
"build": {
@@ -33,17 +35,42 @@
"cxx_standard": "17",
"configure_flags": [
"-DCMAKE_BUILD_TYPE=Release",
"-DLLAMA_BUILD_TESTS=OFF",
"-DLLAMA_BUILD_TESTS=ON",
"-DLLAMA_BUILD_EXAMPLES=ON",
"-DLLAMA_BUILD_SERVER=OFF",
"-DLLAMA_BUILD_TOOLS=OFF",
"-DLLAMA_BUILD_APP=OFF",
"-DLLAMA_CURL=OFF"
"-DLLAMA_CURL=OFF",
"-DGGML_CPU=ON",
"-DGGML_BLAS=OFF",
"-DGGML_CUDA=OFF",
"-DGGML_HIP=OFF",
"-DGGML_VULKAN=OFF",
"-DGGML_METAL=OFF"
],
"native_targets": ["llama-gguf-hash"],
"native_targets": ["llama-gguf-hash", "test-meshnet-range-ownership", "meshnet-range-report"],
"smoke_binary": "bin/llama-gguf-hash",
"smoke_args": ["--help"],
"smoke_output_token": "usage"
"smoke_output_token": "usage",
"ctest_regex": "^test-meshnet-range-ownership$"
},
"accelerator_presets": {
"cuda": {
"backend_flag": "GGML_CUDA",
"sdk_probe": {"binary": "nvcc", "env_var": "CUDACXX"}
},
"rocm": {
"backend_flag": "GGML_HIP",
"sdk_probe": {"binary": "hipcc", "env_var": "HIPCXX"}
},
"vulkan": {
"backend_flag": "GGML_VULKAN",
"sdk_probe": {"binary": "glslc", "env_var": "VULKAN_SDK_GLSLC"}
},
"metal": {
"backend_flag": "GGML_METAL",
"sdk_probe": {"binary": "xcrun", "platform_only": "darwin"}
}
},
"required_upstream_blobs": {
"CMakeLists.txt": "81f23d7e70b7378511af5d01be680c03aebc2b15"
@@ -56,7 +83,9 @@
"src/llama-model.h",
"src/models/llama.cpp",
"tests/CMakeLists.txt",
"tests/test-meshnet-range-ownership.cpp"
"tests/test-meshnet-range-ownership.cpp",
"tools/meshnet-range-report/CMakeLists.txt",
"tools/meshnet-range-report/meshnet-range-report.cpp"
],
"stock_glm_limitations": "This pin may load GLM-5.2 through the dense-MLA compatibility fallback. It does not prove native DSA, IndexShare, MoE semantic correctness, numerical equivalence, performance, or route certification."
}

View File

@@ -0,0 +1,414 @@
From: Meshnet <meshnet@invalid>
Subject: [PATCH] llama: add dense-Llama owned-range report tool
Concern: range reporting. Adds the project-owned meshnet-range-report tool:
it loads one GGUF artifact through the Meshnet owned-range loader and prints
a JSON document derived from the loaded model state — the owned-range
report, the registered tensor set audited against the requested ownership,
and backend-buffer byte counts (optionally split from repack buffers, plus
process resident readings). It never builds or runs a compute graph and
never trusts caller-asserted range or endpoint claims.
---
diff --git a/CMakeLists.txt b/CMakeLists.txt
index a9afcff..868793b 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -281,3 +281,6 @@ configure_file(cmake/llama.pc.in
install(FILES "${CMAKE_CURRENT_BINARY_DIR}/llama.pc"
DESTINATION ${CMAKE_INSTALL_LIBDIR}/pkgconfig)
+
+# Meshnet-owned owned-range report tool (patch stack, range-report concern).
+add_subdirectory(tools/meshnet-range-report)
diff --git a/tools/meshnet-range-report/CMakeLists.txt b/tools/meshnet-range-report/CMakeLists.txt
new file mode 100644
index 000000000..24401007e
--- /dev/null
+++ b/tools/meshnet-range-report/CMakeLists.txt
@@ -0,0 +1,7 @@
+# Meshnet-owned dense-Llama owned-range load/report tool.
+#
+# Built unconditionally with the patched tree: it exercises the Meshnet
+# owned-range loader against real GGUF artifacts and reports only state
+# derived from the loaded model (registered tensors, backend buffers).
+add_executable(meshnet-range-report meshnet-range-report.cpp)
+target_link_libraries(meshnet-range-report PRIVATE llama)
diff --git a/tools/meshnet-range-report/meshnet-range-report.cpp b/tools/meshnet-range-report/meshnet-range-report.cpp
new file mode 100644
index 000000000..49a5eb2a0
--- /dev/null
+++ b/tools/meshnet-range-report/meshnet-range-report.cpp
@@ -0,0 +1,373 @@
+// Meshnet-owned dense-Llama owned-range load/report tool.
+//
+// Loads one GGUF artifact through the Meshnet owned-range loader
+// (llama_model_params::meshnet_owned_layer_start/end) and prints a single
+// JSON report derived from the loaded model state — registered tensors and
+// backend buffers, never caller-asserted values. The audit fails closed when
+// the registered tensor set disagrees with the requested ownership: every
+// registered per-layer tensor must lie inside [start, end), the token
+// embedding may be registered only by the head shard (start == 0) or by a
+// tail shard whose model ties the output head to the embedding, and the
+// final norm plus output head may be registered only by the tail shard
+// (end == n_layer).
+
+#include "ggml.h"
+#include "llama.h"
+
+#include "../../src/llama-model.h"
+
+#include <cstdint>
+#include <cstdio>
+#include <cstdlib>
+#include <cstring>
+#include <set>
+#include <string>
+#include <sys/stat.h>
+#include <vector>
+
+namespace {
+
+constexpr int kExitUsage = 2;
+constexpr int kExitLoad = 3;
+constexpr int kExitAudit = 4;
+
+std::string g_log_tail;
+
+void capture_log(enum ggml_log_level level, const char * text, void *) {
+ if (level >= GGML_LOG_LEVEL_ERROR) {
+ g_log_tail += text;
+ if (g_log_tail.size() > 512) {
+ g_log_tail.erase(0, g_log_tail.size() - 512);
+ }
+ }
+}
+
+std::string json_escape(const std::string & value) {
+ std::string out;
+ for (const char c : value) {
+ if (c == '"' || c == '\\') {
+ out += '\\';
+ out += c;
+ } else if (c == '\n') {
+ out += "\\n";
+ } else if (c == '\r') {
+ // drop carriage returns from embedded log text
+ } else {
+ out += c;
+ }
+ }
+ return out;
+}
+
+std::string json_string_array(const std::vector<std::string> & items) {
+ std::string out = "[";
+ for (size_t i = 0; i < items.size(); ++i) {
+ if (i) {
+ out += ", ";
+ }
+ out += "\"" + json_escape(items[i]) + "\"";
+ }
+ return out + "]";
+}
+
+std::string json_int_array(const std::vector<int> & items) {
+ std::string out = "[";
+ for (size_t i = 0; i < items.size(); ++i) {
+ if (i) {
+ out += ", ";
+ }
+ out += std::to_string(items[i]);
+ }
+ return out + "]";
+}
+
+int fail(int code, const std::string & error) {
+ std::string detail = error;
+ if (!g_log_tail.empty()) {
+ detail += ": " + g_log_tail;
+ }
+ std::printf("{\"ok\": false, \"error\": \"%s\"}\n", json_escape(detail).c_str());
+ return code;
+}
+
+bool parse_nonnegative(const char * text, int & out) {
+ if (text == nullptr || *text == '\0' || *text == '-') {
+ return false;
+ }
+ char * end = nullptr;
+ const long value = std::strtol(text, &end, 10);
+ if (end == text || *end != '\0' || value > INT32_MAX) {
+ return false;
+ }
+ out = static_cast<int>(value);
+ return true;
+}
+
+uint64_t file_size(const std::string & path) {
+ struct stat st;
+ return ::stat(path.c_str(), &st) == 0 ? static_cast<uint64_t>(st.st_size) : 0;
+}
+
+struct proc_status {
+ uint64_t vm_size = 0;
+ uint64_t vm_rss = 0;
+ uint64_t vm_hwm = 0;
+ bool valid = false;
+};
+
+proc_status read_proc_status() {
+ proc_status out;
+#ifdef __linux__
+ FILE * f = std::fopen("/proc/self/status", "r");
+ if (!f) {
+ return out;
+ }
+ char line[256];
+ while (std::fgets(line, sizeof(line), f)) {
+ uint64_t kb = 0;
+ if (std::sscanf(line, "VmSize: %lu kB", &kb) == 1) {
+ out.vm_size = kb * 1024;
+ } else if (std::sscanf(line, "VmRSS: %lu kB", &kb) == 1) {
+ out.vm_rss = kb * 1024;
+ } else if (std::sscanf(line, "VmHWM: %lu kB", &kb) == 1) {
+ out.vm_hwm = kb * 1024;
+ }
+ }
+ std::fclose(f);
+ out.valid = true;
+#endif
+ return out;
+}
+
+void usage(const char * argv0) {
+ std::fprintf(stderr,
+ "usage: %s --model PATH --start N --end M [--no-mmap] [--no-extra-bufts] [--touch]\n"
+ "loads one dense-Llama GGUF through the Meshnet owned-range loader and\n"
+ "prints a JSON report derived from the loaded model state\n",
+ argv0);
+}
+
+} // namespace
+
+int main(int argc, char ** argv) {
+ std::string model_path;
+ int start = -1;
+ int end = -1;
+ bool use_mmap = true;
+ bool use_extra_bufts = true;
+ bool touch = false;
+
+ for (int i = 1; i < argc; ++i) {
+ const std::string arg = argv[i];
+ if (arg == "--model" && i + 1 < argc) {
+ model_path = argv[++i];
+ } else if (arg == "--start" && i + 1 < argc) {
+ if (!parse_nonnegative(argv[++i], start)) {
+ usage(argv[0]);
+ return kExitUsage;
+ }
+ } else if (arg == "--end" && i + 1 < argc) {
+ if (!parse_nonnegative(argv[++i], end)) {
+ usage(argv[0]);
+ return kExitUsage;
+ }
+ } else if (arg == "--no-mmap") {
+ use_mmap = false;
+ } else if (arg == "--no-extra-bufts") {
+ use_extra_bufts = false;
+ } else if (arg == "--touch") {
+ touch = true;
+ } else {
+ usage(argv[0]);
+ return kExitUsage;
+ }
+ }
+ if (model_path.empty() || start < 0 || end < 0) {
+ usage(argv[0]);
+ return kExitUsage;
+ }
+
+ llama_log_set(capture_log, nullptr);
+ llama_backend_init();
+
+ llama_model_params params = llama_model_default_params();
+ params.meshnet_owned_layer_start = start;
+ params.meshnet_owned_layer_end = end;
+ params.use_mmap = use_mmap;
+ params.use_extra_bufts = use_extra_bufts;
+ params.progress_callback = nullptr;
+
+ llama_model * model = llama_model_load_from_file(model_path.c_str(), params);
+ if (model == nullptr) {
+ return fail(kExitLoad, "owned-range load rejected the artifact or range");
+ }
+
+ llama_meshnet_range_report report = {};
+ if (!llama_model_meshnet_range_report(model, &report)) {
+ llama_model_free(model);
+ return fail(kExitLoad, "loaded model carries no owned-range report");
+ }
+
+ char arch_buf[128] = {};
+ std::string arch;
+ if (llama_model_meta_val_str(model, "general.architecture", arch_buf, sizeof(arch_buf)) >= 0) {
+ arch = arch_buf;
+ }
+ const int n_layer = llama_model_n_layer(model);
+ const uint64_t bytes_on_disk = file_size(model_path);
+
+ // Audit the registered tensor set against the requested ownership.
+ const auto & tensors = llama_internal_get_tensor_map(model);
+ bool has_embd = false;
+ bool has_out_norm = false;
+ bool has_out = false;
+ std::set<int> owned_layers;
+ std::vector<std::string> unexpected;
+ uint64_t registered_bytes = 0;
+ for (const auto & entry : tensors) {
+ const std::string & name = entry.first;
+ registered_bytes += ggml_nbytes(entry.second);
+ if (name == "token_embd.weight") {
+ has_embd = true;
+ continue;
+ }
+ if (name == "output_norm.weight") {
+ has_out_norm = true;
+ continue;
+ }
+ if (name == "output.weight") {
+ has_out = true;
+ continue;
+ }
+ int block = -1;
+ if (std::sscanf(name.c_str(), "blk.%d.", &block) == 1 && block >= 0) {
+ owned_layers.insert(block);
+ continue;
+ }
+ unexpected.push_back(name);
+ }
+
+ // A tail shard whose model ties the output head to the token embedding
+ // registers token_embd.weight as its output head instead of output.weight.
+ const bool tied_tail = end == n_layer && has_embd && !has_out;
+ const bool expect_embd = start == 0 || tied_tail;
+
+ std::vector<int> missing_layers;
+ for (int i = start; i < end; ++i) {
+ if (!owned_layers.count(i)) {
+ missing_layers.push_back(i);
+ }
+ }
+ std::vector<int> outside_layers;
+ for (const int block : owned_layers) {
+ if (block < start || block >= end) {
+ outside_layers.push_back(block);
+ }
+ }
+
+ std::vector<std::string> mismatches;
+ if (report.start_layer != start || report.end_layer != end) {
+ mismatches.push_back("reported range differs from the requested range");
+ }
+ if (has_embd != expect_embd) {
+ mismatches.push_back("token-embedding registration disagrees with endpoint ownership");
+ }
+ if ((end == n_layer) && !has_out_norm) {
+ mismatches.push_back("tail range is missing the final norm");
+ }
+ if ((end == n_layer) && !has_out && !has_embd) {
+ mismatches.push_back("tail range is missing the output head");
+ }
+ if ((end != n_layer) && (has_out_norm || has_out)) {
+ mismatches.push_back("non-tail range registered tail-only tensors");
+ }
+ if (report.has_token_embeddings != has_embd) {
+ mismatches.push_back("reported embedding ownership disagrees with registered tensors");
+ }
+ if (report.has_output_head != (end == n_layer)) {
+ mismatches.push_back("reported output-head ownership disagrees with endpoint ownership");
+ }
+ if (!missing_layers.empty()) {
+ mismatches.push_back("owned range has missing per-layer tensors");
+ }
+ if (!outside_layers.empty()) {
+ mismatches.push_back("registered per-layer tensors lie outside the owned range");
+ }
+ if (!unexpected.empty()) {
+ mismatches.push_back("registered tensors outside the dense-Llama ownership vocabulary");
+ }
+ if (use_mmap && report.mapped_bytes < registered_bytes) {
+ mismatches.push_back("mapped span undercounts the registered tensors");
+ }
+ if (!use_mmap && report.resident_bytes < registered_bytes) {
+ mismatches.push_back("resident allocation undercounts the registered tensors");
+ }
+
+ if (touch) {
+ volatile uint64_t sink = 0;
+ for (const auto & entry : tensors) {
+ const auto * data = static_cast<const volatile uint8_t *>(entry.second->data);
+ const size_t nbytes = ggml_nbytes(entry.second);
+ for (size_t i = 0; i < nbytes; i += 4096) {
+ sink += data[i];
+ }
+ }
+ (void) sink;
+ }
+
+ const proc_status proc = read_proc_status();
+
+ if (!mismatches.empty()) {
+ llama_model_free(model);
+ return fail(kExitAudit, "ownership audit failed: " + json_string_array(mismatches));
+ }
+
+ std::printf(
+ "{\n"
+ " \"ok\": true,\n"
+ " \"model\": \"%s\",\n"
+ " \"architecture\": \"%s\",\n"
+ " \"n_layer\": %d,\n"
+ " \"file_bytes\": %llu,\n"
+ " \"requested_range\": [%d, %d],\n"
+ " \"reported_range\": [%d, %d],\n"
+ " \"mmap\": %s,\n"
+ " \"touched\": %s,\n"
+ " \"use_extra_bufts\": %s,\n"
+ " \"has_token_embeddings\": %s,\n"
+ " \"has_output_head\": %s,\n"
+ " \"tied_output_head\": %s,\n"
+ " \"mapped_bytes\": %llu,\n"
+ " \"resident_bytes\": %llu,\n"
+ " \"registered_tensors\": %d,\n"
+ " \"registered_bytes\": %llu,\n"
+ " \"unexpected_registered_tensors\": [],\n"
+ " \"missing_owned_layers\": [],\n"
+ " \"vm_size_bytes\": %llu,\n"
+ " \"vm_rss_bytes\": %llu,\n"
+ " \"vm_hwm_bytes\": %llu\n"
+ "}\n",
+ json_escape(model_path).c_str(),
+ json_escape(arch).c_str(),
+ n_layer,
+ (unsigned long long) bytes_on_disk,
+ start, end,
+ report.start_layer, report.end_layer,
+ use_mmap ? "true" : "false",
+ touch ? "true" : "false",
+ use_extra_bufts ? "true" : "false",
+ report.has_token_embeddings ? "true" : "false",
+ report.has_output_head ? "true" : "false",
+ tied_tail ? "true" : "false",
+ (unsigned long long) report.mapped_bytes,
+ (unsigned long long) report.resident_bytes,
+ (int) tensors.size(),
+ (unsigned long long) registered_bytes,
+ (unsigned long long) proc.vm_size,
+ (unsigned long long) proc.vm_rss,
+ (unsigned long long) proc.vm_hwm);
+
+ llama_model_free(model);
+ llama_backend_free();
+ return 0;
+}

View File

@@ -4,3 +4,4 @@
4871a37544df658980a01b4f94151a90b609fb144c931b4a814309ee608ebb46 0003-owned-range-filtered-state-report.patch
19d451ce259150ffede793c4eb547425375c0fcd97caf326b43e8f1a204f05b6 0004-dense-boundary-io-endpoint-guard.patch
cf263357a6a8de193f710836c7c467c38cac7099975303ee2628e0609daf5a47 0005-worker-range-report-hook.patch
23b4b8c56243d52ba682f0034022a86bf8ded007885be5b659cf5158ff3eb429 0006-meshnet-range-report-tool.patch

View File

@@ -112,6 +112,30 @@
"llama_internal_get_tensor_map(const llama_model *) in src/llama-model.h",
"gguf empty-context writer API: gguf_init_empty, gguf_add_tensor, gguf_write_to_file"
]
},
"0006-meshnet-range-report-tool.patch": {
"concern": "range-reporting",
"files": {
"CMakeLists.txt": {
"before": "a9afcffa68bed7cbd8fad39ad9f95ad784251234",
"after": "868793b826f565df7f041e7ba55820b5ad744b10"
},
"tools/meshnet-range-report/CMakeLists.txt": {
"before": null,
"after": "24401007ee85e217c2741a42c7119fad323ff08a"
},
"tools/meshnet-range-report/meshnet-range-report.cpp": {
"before": null,
"after": "49a5eb2a05bf6514e166453ea0e35b8bc9c5fdf6"
}
},
"api_assumptions": [
"llama_model_params carries meshnet_owned_layer_start/end, use_mmap, and use_extra_bufts",
"llama_model_meshnet_range_report C API and llama_meshnet_range_report fields (patch 0005)",
"llama_internal_get_tensor_map(const llama_model *) in src/llama-model.h",
"llama_model_meta_val_str and llama_model_n_layer public accessors",
"top-level CMakeLists add_subdirectory of a project-owned tool directory after the llama target"
]
}
}
}

View File

@@ -3,3 +3,4 @@
0003-owned-range-filtered-state-report.patch
0004-dense-boundary-io-endpoint-guard.patch
0005-worker-range-report-hook.patch
0006-meshnet-range-report-tool.patch

View File

@@ -0,0 +1,165 @@
// Deterministic, model-free fake ShardEngine for the native worker (DGR-033).
//
// This is the C++ analogue of `meshnet_node.fake_shard_engine.FakeShardEngine`
// (DGR-032): a pure fixture that performs a *bounded real forward* over the
// bytes it received off the socket and never links, loads, or dispatches to
// llama.cpp. It exists to prove the standalone worker process, stream,
// lifecycle, and supervision shape before any real engine is bound (DGR-037).
//
// The "forward" is deliberately transport-verifiable rather than semantic: it
// reassembles a tensor's fragments, checks they tile exactly, and derives a
// CRC32C over the uncompressed bytes — the same rule the schema's `Checksum`
// declares and the same bounded forward the DGR-024 Python surface performs.
// Feeding the same bytes back (echo) lets a client prove the payload truly
// traversed the wire and returned unmodified; a direct hop and an opaque relay
// of the identical frames therefore yield byte-identical responses.
//
// There is no arbitrary-graph entry point here and no llama.cpp RPC: the engine
// only knows how to reassemble/checksum a bundle. That is the whole point of a
// fixture worker (acceptance criterion 4).
#ifndef MESHNET_NATIVE_WORKER_FAKE_ENGINE_H_
#define MESHNET_NATIVE_WORKER_FAKE_ENGINE_H_
#include <algorithm>
#include <cstdint>
#include <optional>
#include <string>
#include <vector>
#include "shard_runtime.pb.h"
namespace meshnet::worker {
namespace sp = ::meshnet::shard::v1;
// Standard CRC-32 (ISO-HDLC / zlib polynomial 0xEDB88320, reflected).
//
// The schema's `Checksum` field is labelled CRC32C, but the DGR-024 Python
// runtime surface (`shard_runtime_server.py`) computes it with `zlib.crc32`
// (standard CRC-32, not the Castagnoli CRC32C). This worker deliberately mirrors
// that exact computation so its checksum acceptance is byte-for-byte identical
// to the existing Python gRPC surface and to a relayed frame's expectations.
inline uint32_t Crc32(const std::string& data, uint32_t seed = 0) {
static uint32_t table[256];
static bool built = false;
if (!built) {
for (uint32_t i = 0; i < 256; ++i) {
uint32_t c = i;
for (int k = 0; k < 8; ++k) {
c = (c & 1) ? (c >> 1) ^ 0xEDB88320u : (c >> 1);
}
table[i] = c;
}
built = true;
}
uint32_t crc = seed ^ 0xFFFFFFFFu;
for (unsigned char byte : data) {
crc = (crc >> 8) ^ table[(crc ^ byte) & 0xFF];
}
return crc ^ 0xFFFFFFFFu;
}
// Outcome of validating one bundle before the bounded forward runs.
struct BundleCheck {
// Set when the bundle is malformed/corrupt (maps to PAYLOAD_CORRUPT).
std::optional<std::string> corrupt_detail;
// Set when the declared payload exceeds the negotiated per-chunk ceiling
// (maps to RESOURCE_EXHAUSTED) — the worker refuses unbounded messages.
std::optional<std::string> oversize_detail;
};
// The fake engine's only capability: verify a bundle tiles and checksums, and
// that it stays within the negotiated byte ceiling. Mirrors `_validate_bundle`
// in `shard_runtime_server.py` plus the bounded-message rule DGR-033 adds.
class FakeShardEngine {
public:
// Marker mirroring `FakeShardEngine.EVIDENCE_CLASS` so a future parity check
// (DGR-036) can assert this is a fixture, not a real engine.
static constexpr const char* kEvidenceClass = "fixture";
FakeShardEngine() = default;
// `max_chunk_bytes` is the per-session *negotiated* ceiling (the strictest of
// the worker's own limit and the peer's proposal), passed in on every call so
// the engine enforces exactly what the SessionOpen handshake settled — never a
// value the peer proposed unilaterally.
BundleCheck Validate(const sp::TensorBundle& bundle, uint64_t max_chunk_bytes) const {
BundleCheck result;
for (const auto& tensor : bundle.tensors()) {
// Bounded message: a declared payload larger than the ceiling is refused
// before any reassembly work is done.
if (max_chunk_bytes != 0 && tensor.total_bytes() > max_chunk_bytes) {
result.oversize_detail =
"tensor '" + tensor.name() + "': declared total_bytes " +
std::to_string(tensor.total_bytes()) + " exceeds max_chunk_bytes " +
std::to_string(max_chunk_bytes);
return result;
}
// Fragments must tile the wire body exactly: no hole, no overlap.
std::vector<const sp::TensorFragment*> ordered;
ordered.reserve(tensor.fragments_size());
for (const auto& fragment : tensor.fragments()) {
ordered.push_back(&fragment);
}
std::sort(ordered.begin(), ordered.end(),
[](const sp::TensorFragment* a, const sp::TensorFragment* b) {
return a->byte_offset() < b->byte_offset();
});
uint64_t expected_offset = 0;
std::string payload;
for (const auto* fragment : ordered) {
if (fragment->byte_offset() != expected_offset) {
result.corrupt_detail =
"tensor '" + tensor.name() + "': fragment at offset " +
std::to_string(fragment->byte_offset()) +
" does not tile the preceding " + std::to_string(expected_offset) +
" bytes (gap or overlap)";
return result;
}
payload.append(fragment->payload());
expected_offset += fragment->payload().size();
}
if (tensor.compression() == sp::COMPRESSION_NONE &&
expected_offset != tensor.total_bytes()) {
result.corrupt_detail =
"tensor '" + tensor.name() + "': fragments cover " +
std::to_string(expected_offset) + " bytes, declared total_bytes is " +
std::to_string(tensor.total_bytes());
return result;
}
if (tensor.compression() == sp::COMPRESSION_NONE &&
tensor.checksum().algorithm() == sp::CHECKSUM_ALGORITHM_CRC32C) {
const uint32_t actual = Crc32(payload);
const std::string& declared = tensor.checksum().value();
std::string actual_be(4, '\0');
actual_be[0] = static_cast<char>((actual >> 24) & 0xFF);
actual_be[1] = static_cast<char>((actual >> 16) & 0xFF);
actual_be[2] = static_cast<char>((actual >> 8) & 0xFF);
actual_be[3] = static_cast<char>(actual & 0xFF);
if (declared != actual_be) {
result.corrupt_detail = "tensor '" + tensor.name() + "': checksum mismatch";
return result;
}
}
}
return result;
}
// Bounded real forward: fold every fragment's payload through CRC32C so the
// digest is only reproducible if the payload really traversed the wire.
uint32_t BoundedForward(const sp::TensorBundle& bundle) const {
uint32_t digest = 0;
for (const auto& tensor : bundle.tensors()) {
for (const auto& fragment : tensor.fragments()) {
digest = Crc32(fragment.payload(), digest);
}
}
return digest;
}
};
} // namespace meshnet::worker
#endif // MESHNET_NATIVE_WORKER_FAKE_ENGINE_H_

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#include "llama_shard_engine.h"
#include <algorithm>
#include <chrono>
#include <cstdlib>
#include <map>
#include <mutex>
#include <utility>
#include <vector>
#include "llama.h"
namespace meshnet::worker {
namespace {
uint32_t Crc32(const std::string& data, uint32_t seed = 0) {
static uint32_t table[256];
static bool built = false;
if (!built) {
for (uint32_t i = 0; i < 256; ++i) {
uint32_t c = i;
for (int k = 0; k < 8; ++k) c = (c & 1) ? (c >> 1) ^ 0xEDB88320u : (c >> 1);
table[i] = c;
}
built = true;
}
uint32_t crc = seed ^ 0xFFFFFFFFu;
for (unsigned char byte : data) crc = (crc >> 8) ^ table[(crc ^ byte) & 0xFF];
return crc ^ 0xFFFFFFFFu;
}
class LlamaShardEngine final : public ShardEngine {
public:
explicit LlamaShardEngine(WorkerIdentity identity) : identity_(std::move(identity)) {}
~LlamaShardEngine() override { Shutdown(); }
bool Load(std::string* error) override {
if (identity_.artifact_path.empty() || identity_.artifact_digest.empty() ||
identity_.recipe_digest.empty() || identity_.end_layer <= identity_.start_layer) {
*error = "worker requires one artifact path, artifact digest, recipe digest, and non-empty range";
return false;
}
std::lock_guard<std::mutex> lock(mu_);
llama_backend_init();
backend_initialized_ = true;
llama_model_params params = llama_model_default_params();
params.meshnet_owned_layer_start = static_cast<int32_t>(identity_.start_layer);
params.meshnet_owned_layer_end = static_cast<int32_t>(identity_.end_layer);
model_ = llama_model_load_from_file(identity_.artifact_path.c_str(), params);
if (!model_) {
ShutdownLocked();
*error = "llama.cpp could not load the configured artifact/range";
return false;
}
llama_meshnet_range_report report{};
if (!llama_model_meshnet_range_report(model_, &report) ||
report.start_layer != static_cast<int32_t>(identity_.start_layer) ||
report.end_layer != static_cast<int32_t>(identity_.end_layer)) {
ShutdownLocked();
*error = "llama.cpp did not attest the configured owned range";
return false;
}
resident_bytes_ = report.resident_bytes;
llama_context_params context_params = llama_context_default_params();
// One worker context owns a bounded set of independent llama sequences.
// The range-loaded model determines the actual local K/V tensors; no
// upstream layer state is ever accepted over the network.
context_params.n_ctx = identity_.hot_kv_budget_tokens;
context_params.n_batch = identity_.hot_kv_context_tokens;
context_params.n_ubatch = identity_.hot_kv_context_tokens;
context_params.n_seq_max = identity_.hot_kv_max_sessions;
context_ = llama_init_from_model(model_, context_params);
if (!context_) {
ShutdownLocked();
*error = "llama.cpp could not allocate the bounded Hot KV context";
return false;
}
free_sequence_ids_.reserve(identity_.hot_kv_max_sessions);
for (uint32_t sequence_id = 0; sequence_id < identity_.hot_kv_max_sessions; ++sequence_id) {
free_sequence_ids_.push_back(static_cast<llama_seq_id>(sequence_id));
}
loaded_ = true;
return true;
}
BundleCheck Validate(const sp::TensorBundle& bundle, uint64_t max_chunk_bytes) const override {
BundleCheck result;
for (const auto& tensor : bundle.tensors()) {
if (max_chunk_bytes != 0 && tensor.total_bytes() > max_chunk_bytes) {
result.oversize_detail = "tensor '" + tensor.name() + "' exceeds max_chunk_bytes";
return result;
}
std::vector<const sp::TensorFragment*> fragments;
for (const auto& fragment : tensor.fragments()) fragments.push_back(&fragment);
std::sort(fragments.begin(), fragments.end(), [](const auto* a, const auto* b) {
return a->byte_offset() < b->byte_offset();
});
uint64_t offset = 0;
std::string payload;
for (const auto* fragment : fragments) {
if (fragment->byte_offset() != offset) {
result.corrupt_detail = "tensor '" + tensor.name() + "' fragments do not tile";
return result;
}
payload.append(fragment->payload());
offset += fragment->payload().size();
}
if (tensor.compression() == sp::COMPRESSION_NONE && offset != tensor.total_bytes()) {
result.corrupt_detail = "tensor '" + tensor.name() + "' declared byte count does not match";
return result;
}
if (tensor.compression() == sp::COMPRESSION_NONE &&
tensor.checksum().algorithm() == sp::CHECKSUM_ALGORITHM_CRC32C) {
const uint32_t actual = Crc32(payload);
const std::string declared = tensor.checksum().value();
const std::string expected{static_cast<char>((actual >> 24) & 0xff),
static_cast<char>((actual >> 16) & 0xff),
static_cast<char>((actual >> 8) & 0xff),
static_cast<char>(actual & 0xff)};
if (declared != expected) {
result.corrupt_detail = "tensor '" + tensor.name() + "' checksum mismatch";
return result;
}
}
}
return result;
}
HotKvResult OpenSession(const std::string& route_session_id, uint64_t route_epoch) override {
std::lock_guard<std::mutex> lock(mu_);
if (!loaded_ || !context_) return {HotKvStatus::kCacheMiss, 0, "llama.cpp context is not loaded"};
EvictExpiredLocked();
const auto latest = latest_epoch_.find(route_session_id);
if (latest != latest_epoch_.end() && route_epoch < latest->second) {
return {HotKvStatus::kStaleEpoch, 0, "stale route epoch"};
}
const SessionKey key{route_session_id, route_epoch};
if (sessions_.count(key)) return {HotKvStatus::kOk, sessions_[key].past_len, "session already open"};
if (latest != latest_epoch_.end() && route_epoch > latest->second) ReleaseRouteLocked(route_session_id);
while (sessions_.size() >= identity_.hot_kv_max_sessions) EvictLruLocked();
if (free_sequence_ids_.empty()) return {HotKvStatus::kResourceExhausted, 0, "Hot KV sequence budget exhausted"};
const llama_seq_id sequence_id = free_sequence_ids_.back();
free_sequence_ids_.pop_back();
sessions_.emplace(key, SessionState{sequence_id, 0, NowSeconds()});
latest_epoch_[route_session_id] = route_epoch;
return {HotKvStatus::kOk, 0, "Hot KV session opened"};
}
HotKvResult Execute(const HotKvStep& step, const sp::TensorBundle&, std::string* error) override {
std::lock_guard<std::mutex> lock(mu_);
if (!loaded_ || !model_) {
*error = "llama.cpp model is not loaded";
return {HotKvStatus::kCacheMiss, 0, *error};
}
EvictExpiredLocked();
const auto latest = latest_epoch_.find(step.route_session_id);
if (latest != latest_epoch_.end() && step.route_epoch < latest->second) {
return {HotKvStatus::kStaleEpoch, 0, "stale route epoch"};
}
const SessionKey key{step.route_session_id, step.route_epoch};
auto it = sessions_.find(key);
if (it == sessions_.end()) return {HotKvStatus::kCacheMiss, 0, "Hot KV state was released or evicted"};
SessionState& session = it->second;
if (step.phase == HotKvStep::Phase::kDecode && step.expected_past_len != session.past_len) {
return {HotKvStatus::kCacheMiss, session.past_len, "expected past length does not match local Hot KV"};
}
if (step.first_position < session.past_len) {
// Re-prefill from an earlier position is an explicit truncate, never an
// append over stale positions. This removes only this llama sequence.
llama_memory_seq_rm(llama_get_memory(context_), session.sequence_id,
static_cast<llama_pos>(step.first_position), -1);
total_reserved_tokens_ -= session.past_len - step.first_position;
session.past_len = step.first_position;
}
if (step.first_position != session.past_len || step.token_count == 0) {
return {HotKvStatus::kCacheMiss, session.past_len, "non-contiguous Hot KV append"};
}
if (session.past_len + step.token_count > identity_.hot_kv_context_tokens) {
return {HotKvStatus::kResourceExhausted, session.past_len, "per-session Hot KV context limit exceeded"};
}
while (total_reserved_tokens_ + step.token_count > identity_.hot_kv_budget_tokens && sessions_.size() > 1) {
EvictLruLocked(&key);
}
if (total_reserved_tokens_ + step.token_count > identity_.hot_kv_budget_tokens) {
return {HotKvStatus::kResourceExhausted, session.past_len, "Hot KV token budget exhausted"};
}
if (identity_.injected_death_after_executions != 0 &&
++executions_ >= identity_.injected_death_after_executions) {
std::_Exit(70); // deliberately observable by the external supervisor
}
// DGR-035's typed dense adapter owns graph/boundary conversion. This
// worker deliberately refuses to reinterpret wire bytes as ggml tensors;
// DGR-038 installs per-session context/KV and DGR-039 proves graph parity.
// Reaching here nevertheless proves every accepted activation is gated by
// the loaded, range-attested llama.cpp engine rather than a fixture.
session.past_len += step.token_count;
total_reserved_tokens_ += step.token_count;
session.last_used = NowSeconds();
return {HotKvStatus::kOk, session.past_len, "Hot KV append accepted"};
}
const WorkerIdentity& identity() const override { return identity_; }
EngineHealth health() const override {
std::lock_guard<std::mutex> lock(mu_);
return {loaded_, resident_bytes_, loaded_ ? "llama.cpp model loaded" : "llama.cpp model unavailable"};
}
void ReleaseSession(const std::string& route_session_id, uint64_t route_epoch) override {
std::lock_guard<std::mutex> lock(mu_);
ReleaseLocked(SessionKey{route_session_id, route_epoch});
}
void Shutdown() override { std::lock_guard<std::mutex> lock(mu_); ShutdownLocked(); }
private:
void ShutdownLocked() {
sessions_.clear();
free_sequence_ids_.clear();
latest_epoch_.clear();
total_reserved_tokens_ = 0;
if (context_) llama_free(context_);
context_ = nullptr;
if (model_) llama_model_free(model_);
model_ = nullptr;
loaded_ = false;
resident_bytes_ = 0;
if (backend_initialized_) llama_backend_free();
backend_initialized_ = false;
}
struct SessionKey {
std::string route_session_id;
uint64_t route_epoch;
bool operator<(const SessionKey& other) const {
return route_session_id != other.route_session_id ? route_session_id < other.route_session_id
: route_epoch < other.route_epoch;
}
};
struct SessionState { llama_seq_id sequence_id; uint64_t past_len; uint64_t last_used; };
static uint64_t NowSeconds() {
return std::chrono::duration_cast<std::chrono::seconds>(std::chrono::steady_clock::now().time_since_epoch()).count();
}
void ReleaseLocked(const SessionKey& key) {
auto it = sessions_.find(key);
if (it == sessions_.end()) return;
llama_memory_seq_rm(llama_get_memory(context_), it->second.sequence_id, -1, -1);
total_reserved_tokens_ -= it->second.past_len;
free_sequence_ids_.push_back(it->second.sequence_id);
sessions_.erase(it);
}
void ReleaseRouteLocked(const std::string& route_session_id) {
for (auto it = sessions_.begin(); it != sessions_.end();) {
if (it->first.route_session_id != route_session_id) { ++it; continue; }
const SessionKey key = it->first;
++it;
ReleaseLocked(key);
}
}
void EvictExpiredLocked() {
const uint64_t cutoff = NowSeconds() - identity_.hot_kv_ttl_seconds;
for (auto it = sessions_.begin(); it != sessions_.end();) {
if (it->second.last_used > cutoff) { ++it; continue; }
const SessionKey key = it->first;
++it;
ReleaseLocked(key);
}
}
void EvictLruLocked(const SessionKey* except = nullptr) {
auto victim = sessions_.end();
for (auto it = sessions_.begin(); it != sessions_.end(); ++it) {
if (except && it->first.route_session_id == except->route_session_id && it->first.route_epoch == except->route_epoch) continue;
if (victim == sessions_.end() || it->second.last_used < victim->second.last_used) victim = it;
}
if (victim != sessions_.end()) ReleaseLocked(victim->first);
}
WorkerIdentity identity_;
mutable std::mutex mu_;
llama_model* model_ = nullptr;
llama_context* context_ = nullptr;
bool backend_initialized_ = false;
bool loaded_ = false;
uint64_t resident_bytes_ = 0;
uint32_t executions_ = 0;
std::map<SessionKey, SessionState> sessions_;
std::map<std::string, uint64_t> latest_epoch_;
std::vector<llama_seq_id> free_sequence_ids_;
uint64_t total_reserved_tokens_ = 0;
};
} // namespace
std::unique_ptr<ShardEngine> MakeLlamaShardEngine(WorkerIdentity identity) {
return std::make_unique<LlamaShardEngine>(std::move(identity));
}
} // namespace meshnet::worker

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// Private llama.cpp implementation of the native worker execution boundary.
//
// The gRPC service sees only this small project-owned surface. llama_model,
// ggml buffers, contexts, and schedulers never escape this translation unit.
#ifndef MESHNET_NATIVE_WORKER_LLAMA_SHARD_ENGINE_H_
#define MESHNET_NATIVE_WORKER_LLAMA_SHARD_ENGINE_H_
#include <cstdint>
#include <memory>
#include <optional>
#include <string>
#include "shard_runtime.pb.h"
namespace meshnet::worker {
namespace sp = ::meshnet::shard::v1;
struct WorkerIdentity {
std::string artifact_path;
std::string artifact_digest;
std::string recipe_digest;
std::string recipe_id;
std::string recipe_version;
std::string catalogue_version;
uint32_t start_layer = 0;
uint32_t end_layer = 0; // half-open, as on the wire
uint32_t injected_death_after_executions = 0; // opt-in test hook; zero disables
uint32_t hot_kv_max_sessions = 8;
uint32_t hot_kv_context_tokens = 4096;
uint32_t hot_kv_budget_tokens = 32768;
uint32_t hot_kv_ttl_seconds = 300;
};
struct BundleCheck {
std::optional<std::string> corrupt_detail;
std::optional<std::string> oversize_detail;
};
struct EngineHealth {
bool serving = false;
uint64_t resident_bytes = 0;
std::string detail;
};
// This is deliberately expressed in tokens, rather than guessed bytes: llama.cpp
// owns the actual K/V layout for the loaded range and backend. The worker uses
// the token reservation to keep its local KV arena bounded before a graph
// adapter materializes the typed boundary (DGR-039).
struct HotKvStep {
enum class Phase { kPrefill, kDecode };
std::string route_session_id;
uint64_t route_epoch = 0;
Phase phase = Phase::kPrefill;
uint64_t first_position = 0;
uint32_t token_count = 0;
uint64_t expected_past_len = 0;
};
enum class HotKvStatus { kOk, kCacheMiss, kStaleEpoch, kResourceExhausted, kCancelled };
struct HotKvResult {
HotKvStatus status = HotKvStatus::kOk;
uint64_t past_len = 0;
std::string detail;
};
class ShardEngine {
public:
virtual ~ShardEngine() = default;
virtual bool Load(std::string* error) = 0;
virtual BundleCheck Validate(const sp::TensorBundle&, uint64_t max_chunk_bytes) const = 0;
virtual HotKvResult OpenSession(const std::string& route_session_id, uint64_t route_epoch) = 0;
virtual HotKvResult Execute(const HotKvStep&, const sp::TensorBundle&, std::string* error) = 0;
virtual const WorkerIdentity& identity() const = 0;
virtual EngineHealth health() const = 0;
virtual void ReleaseSession(const std::string& route_session_id, uint64_t route_epoch) = 0;
virtual void Shutdown() = 0;
};
// Construction is the only native implementation entry point used by the
// worker. The returned ShardEngine owns all llama.cpp handles privately.
std::unique_ptr<ShardEngine> MakeLlamaShardEngine(WorkerIdentity identity);
} // namespace meshnet::worker
#endif

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#include "shard_service.h"
#include <algorithm>
#include <chrono>
#include <utility>
namespace meshnet::worker {
namespace {
void FillWorkerFingerprint(sp::Fingerprint* fp, const WorkerIdentity& identity) {
fp->set_model_artifact_digest(identity.artifact_digest);
fp->set_runtime_recipe_digest(identity.recipe_digest);
fp->set_recipe_id(identity.recipe_id);
fp->set_recipe_version(identity.recipe_version);
fp->set_catalogue_version(identity.catalogue_version);
}
void FillWorkerShardRange(sp::ShardRange* range, const WorkerIdentity& identity) {
range->set_start_layer(identity.start_layer);
range->set_end_layer(identity.end_layer);
range->set_effective_start_layer(identity.start_layer);
}
// Strictest-of-both bound: the smallest positive of `a`/`b`, or `fallback` when
// neither is set. Mirrors the `_min` helper in `native_protocol/codec.py`.
uint64_t MinPositive(uint64_t a, uint64_t b, uint64_t fallback) {
if (a > 0 && b > 0) return std::min(a, b);
if (a > 0) return a;
if (b > 0) return b;
return fallback;
}
int64_t NowUnixNanos() {
return std::chrono::duration_cast<std::chrono::nanoseconds>(
std::chrono::system_clock::now().time_since_epoch())
.count();
}
// Build the standard fail response (a terminal-or-not ShardStatus).
sp::SessionResponse MakeFail(const std::string& route_session_id, const std::string& work_id,
uint64_t step, sp::ErrorCode code, const std::string& detail,
bool terminal, bool retryable) {
sp::SessionResponse response;
sp::ShardStatus* status = response.mutable_status();
status->set_work_id(work_id);
status->set_route_session_id(route_session_id);
status->set_idempotency_step(step);
status->set_terminal(terminal);
sp::ShardError* error = status->mutable_error();
error->set_code(code);
error->set_detail(detail);
error->set_retryable(retryable);
return response;
}
sp::SessionResponse MakeAck(const std::string& work_id, uint64_t step, bool duplicate) {
sp::SessionResponse response;
sp::Ack* ack = response.mutable_ack();
ack->set_work_id(work_id);
ack->set_idempotency_step(step);
ack->set_duplicate(duplicate);
return response;
}
void FillDefaultFlow(sp::FlowControl* fc, const FlowLimits& limits) {
fc->set_credits_granted(limits.credits_granted);
fc->set_max_inflight_chunks(limits.max_inflight_chunks);
fc->set_max_chunk_bytes(limits.max_chunk_bytes);
fc->set_max_prefill_chunk_tokens(limits.max_prefill_chunk_tokens);
}
sp::SessionResponse HotKvFailure(const std::string& route_session_id, const std::string& work_id,
uint64_t step, const HotKvResult& result) {
switch (result.status) {
case HotKvStatus::kStaleEpoch:
return MakeFail(route_session_id, work_id, step, sp::ERROR_CODE_EPOCH_STALE, result.detail, false, false);
case HotKvStatus::kCacheMiss:
return MakeFail(route_session_id, work_id, step, sp::ERROR_CODE_CACHE_MISS, result.detail, false, true);
case HotKvStatus::kResourceExhausted:
return MakeFail(route_session_id, work_id, step, sp::ERROR_CODE_RESOURCE_EXHAUSTED, result.detail, false, true);
case HotKvStatus::kCancelled:
return MakeFail(route_session_id, work_id, step, sp::ERROR_CODE_CANCELLED, result.detail, false, false);
case HotKvStatus::kOk:
break;
}
return MakeFail(route_session_id, work_id, step, sp::ERROR_CODE_INTERNAL, "unexpected Hot KV result", false, true);
}
} // namespace
grpc::Status ShardRuntimeServiceImpl::GetCapability(grpc::ServerContext*,
const sp::CapabilityRequest*,
sp::CapabilityReport* response) {
response->set_schema_version(sp::SCHEMA_VERSION_1);
const WorkerIdentity& identity = engine_.identity();
const EngineHealth health = engine_.health();
FillWorkerFingerprint(response->mutable_fingerprint(), identity);
FillWorkerShardRange(response->mutable_shard_range(), identity);
response->set_backend("llama.cpp");
response->set_device("cpu");
response->set_validated(health.serving);
response->set_detail(health.detail);
response->set_max_concurrent_sessions(8);
response->set_max_context_tokens(131072);
FillDefaultFlow(response->mutable_flow_control(), limits_);
response->add_accepted_compression(sp::COMPRESSION_NONE);
response->add_supported_schema_versions(sp::SCHEMA_VERSION_1);
response->set_validated_at_unix_nanos(0);
return grpc::Status::OK;
}
grpc::Status ShardRuntimeServiceImpl::Health(grpc::ServerContext*, const sp::HealthRequest*,
sp::HealthReport* response) {
response->set_schema_version(sp::SCHEMA_VERSION_1);
const EngineHealth engine_health = engine_.health();
response->set_state(engine_health.serving ? sp::SERVING_STATE_SERVING : sp::SERVING_STATE_NOT_SERVING);
{ std::lock_guard<std::mutex> lk(sessions_mu_); response->set_active_sessions(sessions_.size()); }
response->set_queued_chunks(0);
response->set_batch_occupancy(0);
response->set_kv_pressure(0.0f);
response->set_resident_bytes(engine_health.resident_bytes);
response->set_detail(engine_health.detail + "; loaded=" + engine_.identity().artifact_digest +
" range=[" + std::to_string(engine_.identity().start_layer) + "," +
std::to_string(engine_.identity().end_layer) + ")");
return grpc::Status::OK;
}
FlowLimits ShardRuntimeServiceImpl::NegotiateFlow(const sp::FlowControl& proposed) const {
FlowLimits out;
out.max_inflight_chunks = static_cast<uint32_t>(MinPositive(
proposed.max_inflight_chunks(), limits_.max_inflight_chunks, limits_.max_inflight_chunks));
const uint64_t credits = MinPositive(proposed.credits_granted(), limits_.credits_granted,
limits_.credits_granted);
out.credits_granted =
static_cast<uint32_t>(std::min<uint64_t>(credits, out.max_inflight_chunks));
out.max_chunk_bytes =
MinPositive(proposed.max_chunk_bytes(), limits_.max_chunk_bytes, limits_.max_chunk_bytes);
out.max_prefill_chunk_tokens = static_cast<uint32_t>(MinPositive(
proposed.max_prefill_chunk_tokens(), limits_.max_prefill_chunk_tokens,
limits_.max_prefill_chunk_tokens));
return out;
}
uint32_t ShardRuntimeServiceImpl::MarkCancelled(const std::string& route_session_id,
const std::string& work_id) {
std::lock_guard<std::mutex> lk(sessions_mu_);
SessionState& state = sessions_[route_session_id]; // creates on first cancel-before-open
if (state.max_inflight == 0) {
// Freshly created placeholder for a Cancel that raced ahead of Open.
state.credits = limits_.credits_granted;
state.max_inflight = limits_.max_inflight_chunks;
state.max_chunk_bytes = limits_.max_chunk_bytes;
}
if (work_id.empty()) {
const bool already = state.cancelled_session;
state.cancelled_session = true;
return already ? 0 : 1;
}
const bool already = state.cancelled_work.count(work_id) != 0;
state.cancelled_work.insert(work_id);
return already ? 0 : 1;
}
grpc::Status ShardRuntimeServiceImpl::Session(
grpc::ServerContext*,
grpc::ServerReaderWriter<sp::SessionResponse, sp::SessionRequest>* stream) {
std::string route_session_id;
sp::SessionRequest request;
while (stream->Read(&request)) {
switch (request.kind_case()) {
case sp::SessionRequest::kOpen: {
const sp::SessionOpen& open = request.open();
route_session_id = open.route_session_id();
// Reject an incompatible peer at open rather than mid-generation. The
// worker validates the caller's schema, artifact/recipe identity and
// requested layer range against its own — it never adopts the caller's
// claimed identity.
auto reject_open = [&](sp::ErrorCode code, const std::string& detail) {
stream->Write(MakeFail(route_session_id, /*work_id=*/"", /*step=*/0, code, detail,
/*terminal=*/true, /*retryable=*/false));
};
if (open.schema_version() != sp::SCHEMA_VERSION_1) {
reject_open(sp::ERROR_CODE_SCHEMA_UNSUPPORTED,
"worker serves schema version 1 only");
return grpc::Status::OK;
}
const sp::Fingerprint& fp = open.fingerprint();
if ((!fp.model_artifact_digest().empty() &&
fp.model_artifact_digest() != engine_.identity().artifact_digest) ||
(!fp.runtime_recipe_digest().empty() &&
fp.runtime_recipe_digest() != engine_.identity().recipe_digest)) {
reject_open(sp::ERROR_CODE_FINGERPRINT_MISMATCH,
"model artifact or runtime recipe digest does not match this worker");
return grpc::Status::OK;
}
if (open.has_shard_range()) {
const sp::ShardRange& r = open.shard_range();
const bool within = r.start_layer() == engine_.identity().start_layer &&
r.end_layer() == engine_.identity().end_layer &&
r.effective_start_layer() == engine_.identity().start_layer;
if (!within) {
reject_open(sp::ERROR_CODE_SHARD_RANGE_MISMATCH,
"requested layer range is not served by this worker");
return grpc::Status::OK;
}
}
// Settle the flow-control window with strict worker bounds, then keep
// the negotiated ceilings on the session so every later check enforces
// exactly what was agreed — not what the peer proposed.
const FlowLimits negotiated =
open.has_proposed_flow_control()
? NegotiateFlow(open.proposed_flow_control())
: limits_;
const HotKvResult hot_kv = engine_.OpenSession(route_session_id, open.route_epoch());
if (hot_kv.status != HotKvStatus::kOk) {
stream->Write(HotKvFailure(route_session_id, "", 0, hot_kv));
return grpc::Status::OK;
}
{
std::lock_guard<std::mutex> lk(sessions_mu_);
SessionState state;
state.epoch = open.route_epoch();
state.credits = negotiated.credits_granted;
state.max_inflight = negotiated.max_inflight_chunks;
state.max_chunk_bytes = negotiated.max_chunk_bytes;
state.max_prefill_chunk_tokens = negotiated.max_prefill_chunk_tokens;
state.opened = true;
auto it = sessions_.find(route_session_id);
if (it != sessions_.end()) {
// A prior out-of-band Cancel may have marked this session cancelled
// before Open arrived; preserve that so the work still fails closed.
state.cancelled_session = it->second.cancelled_session;
state.cancelled_work = it->second.cancelled_work;
}
sessions_[route_session_id] = std::move(state);
}
sp::SessionResponse response;
sp::SessionAccepted* accepted = response.mutable_accepted();
accepted->set_schema_version(sp::SCHEMA_VERSION_1);
accepted->set_route_session_id(open.route_session_id());
accepted->set_route_epoch(open.route_epoch());
FillDefaultFlow(accepted->mutable_flow_control(), negotiated);
if (open.accepted_compression_size() > 0) {
for (int c : open.accepted_compression()) {
accepted->add_accepted_compression(static_cast<sp::Compression>(c));
}
} else {
accepted->add_accepted_compression(sp::COMPRESSION_NONE);
}
// Report the fingerprint the worker actually serves, so a mismatch is
// visible at open — never a copy of the caller's claimed identity.
FillWorkerFingerprint(accepted->mutable_fingerprint(), engine_.identity());
stream->Write(response);
break;
}
case sp::SessionRequest::kChunk: {
const sp::ActivationChunk& chunk = request.chunk();
const sp::Envelope& envelope = chunk.envelope();
const std::string work_id = envelope.work_id();
const uint64_t step = envelope.idempotency_step();
// Compute the response under the lock, then write it *after* releasing —
// holding the lock across a (possibly blocking) Write would deadlock an
// out-of-band Cancel RPC that needs the same lock.
sp::SessionResponse response;
bool terminate = false;
{
std::lock_guard<std::mutex> lk(sessions_mu_);
auto it = sessions_.find(route_session_id);
SessionState* state = it != sessions_.end() ? &it->second : nullptr;
if (state == nullptr || !state->opened) {
// Fail closed: an activation before a valid SessionOpen must never
// bypass lifecycle, cancellation, epoch or flow-control state.
response = MakeFail(route_session_id, work_id, step, sp::ERROR_CODE_INTERNAL,
"activation received before SessionOpen", true, false);
terminate = true;
} else if (state->cancelled_session || state->cancelled_work.count(work_id)) {
response = MakeFail(route_session_id, work_id, step, sp::ERROR_CODE_CANCELLED,
"work was cancelled", false, false);
} else if (envelope.route_epoch() < state->epoch) {
response = MakeFail(route_session_id, work_id, step, sp::ERROR_CODE_EPOCH_STALE,
"stale route epoch", false, false);
} else if (envelope.deadline_unix_nanos() != 0 &&
NowUnixNanos() > envelope.deadline_unix_nanos()) {
response = MakeFail(route_session_id, work_id, step, sp::ERROR_CODE_DEADLINE_EXCEEDED,
"deadline already passed", false, false);
} else if (state->seen_steps.count(step)) {
response = MakeAck(work_id, step, /*duplicate=*/true);
} else if (state->credits <= 0) {
response = MakeFail(route_session_id, work_id, step, sp::ERROR_CODE_FLOW_CONTROL_VIOLATION,
"no flow-control credit remaining", false, true);
} else {
const BundleCheck check = engine_.Validate(chunk.bundle(), state->max_chunk_bytes);
if (check.oversize_detail) {
response = MakeFail(route_session_id, work_id, step, sp::ERROR_CODE_RESOURCE_EXHAUSTED,
*check.oversize_detail, false, false);
} else if (check.corrupt_detail) {
response = MakeFail(route_session_id, work_id, step, sp::ERROR_CODE_PAYLOAD_CORRUPT,
*check.corrupt_detail, false, false);
} else {
std::string execution_error;
const HotKvResult executed = engine_.Execute(
HotKvStep{route_session_id, envelope.route_epoch(), HotKvStep::Phase::kPrefill,
envelope.position().first_position(), envelope.position().token_count(),
envelope.cache_expectation().expected_past_len()},
chunk.bundle(), &execution_error);
if (executed.status != HotKvStatus::kOk) {
response = HotKvFailure(route_session_id, work_id, step, executed);
} else {
state->seen_steps.insert(step);
state->credits -= 1;
*response.mutable_chunk() = chunk; // echo the exact bundle back
}
}
}
}
stream->Write(response);
if (terminate) {
return grpc::Status::OK;
}
break;
}
case sp::SessionRequest::kDecode: {
const sp::DecodeStep& step_msg = request.decode();
const std::string work_id = step_msg.work_id();
const uint64_t step = step_msg.idempotency_step();
sp::TensorBundle bundle;
if (step_msg.bundle().tensors_size() > 0) {
bundle = step_msg.bundle();
} else {
bundle.set_bundle_version(1);
*bundle.add_tensors() = step_msg.tensor();
}
sp::SessionResponse response;
bool terminate = false;
{
std::lock_guard<std::mutex> lk(sessions_mu_);
auto it = sessions_.find(route_session_id);
SessionState* state = it != sessions_.end() ? &it->second : nullptr;
if (state == nullptr || !state->opened) {
// Fail closed: a decode step before a valid SessionOpen must never
// bypass lifecycle, cancellation, epoch or flow-control state.
response = MakeFail(route_session_id, work_id, step, sp::ERROR_CODE_INTERNAL,
"activation received before SessionOpen", true, false);
terminate = true;
} else if (state->cancelled_session || state->cancelled_work.count(work_id)) {
response = MakeFail(route_session_id, work_id, step, sp::ERROR_CODE_CANCELLED,
"work was cancelled", false, false);
} else if (step_msg.deadline_unix_nanos() != 0 &&
NowUnixNanos() > step_msg.deadline_unix_nanos()) {
response = MakeFail(route_session_id, work_id, step, sp::ERROR_CODE_DEADLINE_EXCEEDED,
"deadline already passed", false, false);
} else if (state->seen_steps.count(step)) {
response = MakeAck(work_id, step, /*duplicate=*/true);
} else if (state->credits <= 0) {
response = MakeFail(route_session_id, work_id, step, sp::ERROR_CODE_FLOW_CONTROL_VIOLATION,
"no flow-control credit remaining", false, true);
} else {
const BundleCheck check = engine_.Validate(bundle, state->max_chunk_bytes);
if (check.oversize_detail) {
response = MakeFail(route_session_id, work_id, step, sp::ERROR_CODE_RESOURCE_EXHAUSTED,
*check.oversize_detail, false, false);
} else if (check.corrupt_detail) {
response = MakeFail(route_session_id, work_id, step, sp::ERROR_CODE_PAYLOAD_CORRUPT,
*check.corrupt_detail, false, false);
} else {
std::string execution_error;
const HotKvResult executed = engine_.Execute(
HotKvStep{route_session_id, state->epoch, HotKvStep::Phase::kDecode,
step_msg.position(), 1, step_msg.expected_past_len()}, bundle, &execution_error);
if (executed.status != HotKvStatus::kOk) {
response = HotKvFailure(route_session_id, work_id, step, executed);
} else {
state->seen_steps.insert(step);
state->credits -= 1;
// No decode response field exists; echo the step back as a
// chunk-bearing SessionResponse per the proto's relayed-frame design.
sp::ActivationChunk* out = response.mutable_chunk();
sp::Envelope* out_env = out->mutable_envelope();
out_env->set_schema_version(sp::SCHEMA_VERSION_1);
out_env->set_work_id(work_id);
out_env->set_idempotency_step(step);
out_env->set_phase(sp::PHASE_DECODE);
sp::PositionSpan* pos = out_env->mutable_position();
pos->set_first_position(step_msg.position());
pos->set_token_count(1);
*out->mutable_bundle() = bundle;
}
}
}
}
stream->Write(response);
if (terminate) {
return grpc::Status::OK;
}
break;
}
case sp::SessionRequest::kFlowControl: {
const uint32_t topup = request.flow_control().credits_granted();
sp::SessionResponse response;
{
std::lock_guard<std::mutex> lk(sessions_mu_);
auto it = sessions_.find(route_session_id);
sp::FlowControl* fc = response.mutable_flow_control();
if (it != sessions_.end()) {
SessionState& state = it->second;
int64_t granted = std::min<int64_t>(state.credits + topup,
static_cast<int64_t>(state.max_inflight));
state.credits = granted;
fc->set_credits_granted(static_cast<uint32_t>(granted));
fc->set_max_inflight_chunks(state.max_inflight);
fc->set_max_chunk_bytes(state.max_chunk_bytes);
} else {
fc->set_credits_granted(topup != 0 ? topup : limits_.credits_granted);
fc->set_max_inflight_chunks(limits_.max_inflight_chunks);
fc->set_max_chunk_bytes(limits_.max_chunk_bytes);
}
fc->set_max_prefill_chunk_tokens(limits_.max_prefill_chunk_tokens);
}
stream->Write(response);
break;
}
case sp::SessionRequest::kRelease: {
const sp::ReleaseSignal& release = request.release();
// An explicit release drops session state immediately (KV, credits,
// dedup) instead of holding it for the TTL — the whole point of the
// signal. Erase the session this stream opened so its resources are
// freed the moment the terminal status is sent.
{
std::lock_guard<std::mutex> lk(sessions_mu_);
auto it = sessions_.find(release.route_session_id());
if (it != sessions_.end() && it->second.epoch == release.route_epoch()) {
sessions_.erase(it);
}
engine_.ReleaseSession(release.route_session_id(), release.route_epoch());
}
sp::SessionResponse response;
sp::ShardStatus* status = response.mutable_status();
status->set_work_id(release.work_id());
status->set_route_session_id(release.route_session_id());
status->set_terminal(true);
stream->Write(response);
return grpc::Status::OK;
}
case sp::SessionRequest::kCancel: {
const sp::CancelSignal& signal = request.cancel();
MarkCancelled(route_session_id, signal.work_id());
const bool whole_session = signal.work_id().empty();
stream->Write(MakeFail(route_session_id, signal.work_id(), 0, sp::ERROR_CODE_CANCELLED,
signal.reason().empty() ? "cancelled" : signal.reason(),
whole_session, false));
if (whole_session) {
return grpc::Status::OK;
}
break;
}
default: {
sp::SessionResponse response;
response.mutable_status()->set_terminal(true);
stream->Write(response);
return grpc::Status::OK;
}
}
}
return grpc::Status::OK;
}
grpc::Status ShardRuntimeServiceImpl::Release(grpc::ServerContext*,
const sp::ReleaseRequest* request,
sp::ReleaseResponse* response) {
bool existed;
{
std::lock_guard<std::mutex> lk(sessions_mu_);
auto it = sessions_.find(request->route_session_id());
existed = it != sessions_.end() && it->second.epoch == request->route_epoch();
if (existed) sessions_.erase(it);
engine_.ReleaseSession(request->route_session_id(), request->route_epoch());
}
response->set_released(existed);
return grpc::Status::OK;
}
grpc::Status ShardRuntimeServiceImpl::Cancel(grpc::ServerContext*,
const sp::CancelRequest* request,
sp::CancelResponse* response) {
const uint32_t newly = MarkCancelled(request->route_session_id(), request->work_id());
response->set_cancelled_work_items(newly);
return grpc::Status::OK;
}
} // namespace meshnet::worker

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// The native Shard worker's ShardRuntime service (DGR-033).
//
// A faithful C++ port of `ShardRuntimeServicer` in `shard_runtime_server.py`:
// the same per-`route_session_id` identity/credit/dedup state, the same
// fail-closed negative paths (stale epoch, expired deadline, corrupt/oversize
// payload, exhausted flow-control credit, duplicate idempotency step, in-band
// and out-of-band cancellation), and the same lifecycle (open/prefill/decode/
// flow-control/release/cancel). The only compute it does is the fake engine's
// bounded forward — there is no llama.cpp linkage and no arbitrary-graph RPC.
#ifndef MESHNET_NATIVE_WORKER_SHARD_SERVICE_H_
#define MESHNET_NATIVE_WORKER_SHARD_SERVICE_H_
#include <cstdint>
#include <map>
#include <mutex>
#include <set>
#include <string>
#include <grpcpp/grpcpp.h>
#include "llama_shard_engine.h"
#include "shard_runtime.grpc.pb.h"
#include "shard_runtime.pb.h"
namespace meshnet::worker {
namespace sp = ::meshnet::shard::v1;
struct FlowLimits {
uint32_t credits_granted = 16;
uint32_t max_inflight_chunks = 16;
uint64_t max_chunk_bytes = 4u * 1024u * 1024u;
uint32_t max_prefill_chunk_tokens = 512;
};
// Per-route-session identity/credit/dedup state, kept on the servicer instance
// (guarded by a lock) so an out-of-band unary Cancel from a different handler
// thread can reach a session a concurrent Session stream is still iterating.
struct SessionState {
uint64_t epoch = 0;
int64_t credits = 0;
uint32_t max_inflight = 0;
uint64_t max_chunk_bytes = 0;
uint32_t max_prefill_chunk_tokens = 0;
std::set<uint64_t> seen_steps;
std::set<std::string> cancelled_work;
bool cancelled_session = false;
// True only after a valid SessionOpen handshake completed for this
// route_session_id. An activation (chunk/decode) that arrives while this is
// false fails closed: no work may bypass the lifecycle handshake, even when a
// placeholder state already exists from an out-of-band Cancel that raced Open.
bool opened = false;
};
class ShardRuntimeServiceImpl final : public sp::ShardRuntime::Service {
public:
ShardRuntimeServiceImpl(FlowLimits limits, ShardEngine& engine) : limits_(limits), engine_(engine) {}
grpc::Status GetCapability(grpc::ServerContext* context,
const sp::CapabilityRequest* request,
sp::CapabilityReport* response) override;
grpc::Status Health(grpc::ServerContext* context, const sp::HealthRequest* request,
sp::HealthReport* response) override;
grpc::Status Session(
grpc::ServerContext* context,
grpc::ServerReaderWriter<sp::SessionResponse, sp::SessionRequest>* stream) override;
grpc::Status Release(grpc::ServerContext* context, const sp::ReleaseRequest* request,
sp::ReleaseResponse* response) override;
grpc::Status Cancel(grpc::ServerContext* context, const sp::CancelRequest* request,
sp::CancelResponse* response) override;
private:
// Returns the number of items newly marked cancelled, creating session state
// if the Cancel raced ahead of SessionOpen.
uint32_t MarkCancelled(const std::string& route_session_id, const std::string& work_id);
// Settle a stream's flow-control window against this worker's own limits: the
// strictest bound of either peer wins for every field, so a peer can never
// raise the worker's ceilings by proposing a larger window. Mirrors
// `negotiate_flow_control` in `native_protocol/codec.py`.
FlowLimits NegotiateFlow(const sp::FlowControl& proposed) const;
FlowLimits limits_;
ShardEngine& engine_;
std::mutex sessions_mu_;
std::map<std::string, SessionState> sessions_;
};
} // namespace meshnet::worker
#endif // MESHNET_NATIVE_WORKER_SHARD_SERVICE_H_

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// Standalone native Shard worker executable (DGR-033).
//
// Serves the complete ShardRuntime lifecycle/stream contract over real
// gRPC/HTTP2 using the model-free FakeShardEngine. It links neither llama.cpp
// nor any graph-execution entry point: the only surface it exposes is the
// ShardRuntime service defined in shard_runtime.proto.
//
// Usage:
// shard_worker [listen_addr] serve until SIGTERM/SIGINT (graceful drain)
// shard_worker --selftest bind an ephemeral port, self-drive the
// lifecycle over a real loopback channel, exit
//
// Environment:
// MESHNET_SHARD_LISTEN_ADDR host:port to bind (default localhost:50051)
// MESHNET_MAX_CHUNK_BYTES per-chunk byte ceiling the worker enforces
//
// On a normal run it prints one readiness line — "ShardRuntime worker listening
// on <addr>" — once the socket is bound, so a supervisor/harness has a real
// readiness signal instead of a sleep.
#include <atomic>
#include <cerrno>
#include <csignal>
#include <cstdint>
#include <cstdlib>
#include <cstring>
#include <iostream>
#include <memory>
#include <string>
#include <thread>
#include <unistd.h>
#include <grpcpp/grpcpp.h>
#include "shard_service.h"
#include "shard_runtime.grpc.pb.h"
namespace {
namespace sp = ::meshnet::shard::v1;
// Self-pipe: the signal handler must stay async-signal-safe, so it only writes
// one byte; a helper thread reads it and performs the (non-signal-safe) server
// Shutdown(). Set once in main() before installing the handler.
volatile std::sig_atomic_t g_signal_pipe_write_fd = -1;
extern "C" void HandleTermination(int /*signum*/) {
if (g_signal_pipe_write_fd >= 0) {
const char byte = 1;
ssize_t rc = ::write(g_signal_pipe_write_fd, &byte, 1);
(void)rc; // best-effort; nothing safe to do on failure inside a handler
}
}
meshnet::worker::FlowLimits LimitsFromEnv() {
meshnet::worker::FlowLimits limits;
if (const char* raw = std::getenv("MESHNET_MAX_CHUNK_BYTES")) {
char* end = nullptr;
const unsigned long long value = std::strtoull(raw, &end, 10);
if (end != raw && value > 0) {
limits.max_chunk_bytes = static_cast<uint64_t>(value);
}
}
return limits;
}
bool PositiveEnv(const char* name, uint32_t* out, std::string* error) {
if (const char* value = std::getenv(name)) {
char* end = nullptr;
const unsigned long parsed = std::strtoul(value, &end, 10);
if (end == value || *end != '\0' || parsed == 0 || parsed > UINT32_MAX) {
*error = std::string("invalid ") + name;
return false;
}
*out = static_cast<uint32_t>(parsed);
}
return true;
}
bool IdentityFromEnv(meshnet::worker::WorkerIdentity* identity, std::string* error) {
const auto required = [&](const char* name, std::string* out) -> bool {
const char* value = std::getenv(name);
if (!value || !*value) { *error = std::string("missing required ") + name; return false; }
*out = value;
return true;
};
if (!required("MESHNET_MODEL_ARTIFACT", &identity->artifact_path) ||
!required("MESHNET_MODEL_ARTIFACT_DIGEST", &identity->artifact_digest) ||
!required("MESHNET_RUNTIME_RECIPE_DIGEST", &identity->recipe_digest) ||
!required("MESHNET_RECIPE_ID", &identity->recipe_id) ||
!required("MESHNET_RECIPE_VERSION", &identity->recipe_version) ||
!required("MESHNET_CATALOGUE_VERSION", &identity->catalogue_version)) return false;
const auto layer = [&](const char* name, uint32_t* out) -> bool {
const char* value = std::getenv(name); char* end = nullptr;
const unsigned long parsed = value ? std::strtoul(value, &end, 10) : 0;
if (!value || end == value || *end != '\0' || parsed > UINT32_MAX) {
*error = std::string("invalid required ") + name; return false;
}
*out = static_cast<uint32_t>(parsed); return true;
};
if (!layer("MESHNET_SHARD_START_LAYER", &identity->start_layer) ||
!layer("MESHNET_SHARD_END_LAYER", &identity->end_layer) ||
identity->end_layer <= identity->start_layer) {
if (error->empty()) *error = "MESHNET_SHARD_END_LAYER must exceed MESHNET_SHARD_START_LAYER";
return false;
}
if (const char* value = std::getenv("MESHNET_INJECT_PROCESS_DEATH_AFTER_EXECUTIONS")) {
char* end = nullptr;
const unsigned long parsed = std::strtoul(value, &end, 10);
if (end == value || *end != '\0' || parsed == 0 || parsed > UINT32_MAX) {
*error = "invalid MESHNET_INJECT_PROCESS_DEATH_AFTER_EXECUTIONS";
return false;
}
identity->injected_death_after_executions = static_cast<uint32_t>(parsed);
}
if (!PositiveEnv("MESHNET_HOT_KV_MAX_SESSIONS", &identity->hot_kv_max_sessions, error) ||
!PositiveEnv("MESHNET_HOT_KV_CONTEXT_TOKENS", &identity->hot_kv_context_tokens, error) ||
!PositiveEnv("MESHNET_HOT_KV_BUDGET_TOKENS", &identity->hot_kv_budget_tokens, error) ||
!PositiveEnv("MESHNET_HOT_KV_TTL_SECONDS", &identity->hot_kv_ttl_seconds, error)) return false;
if (identity->hot_kv_budget_tokens < identity->hot_kv_context_tokens) {
*error = "MESHNET_HOT_KV_BUDGET_TOKENS must cover one session context";
return false;
}
return true;
}
int RunSelfTest() {
std::cerr << "selftest requires an opt-in real GGUF artifact; use the native worker integration harness\n";
return 2;
// A model-free selftest would reintroduce the fake execution path DGR-037 removes.
#if 0
int selected_port = 0;
grpc::ServerBuilder builder;
builder.AddListeningPort("127.0.0.1:0", grpc::InsecureServerCredentials(), &selected_port);
builder.RegisterService(&service);
std::unique_ptr<grpc::Server> server(builder.BuildAndStart());
if (!server || selected_port == 0) {
std::cerr << "selftest: failed to bind ephemeral port\n";
return 1;
}
const std::string target = "127.0.0.1:" + std::to_string(selected_port);
auto channel = grpc::CreateChannel(target, grpc::InsecureChannelCredentials());
auto stub = sp::ShardRuntime::NewStub(channel);
int failures = 0;
auto check = [&](bool cond, const char* what) {
if (!cond) {
std::cerr << "selftest FAIL: " << what << "\n";
++failures;
}
};
// Capability + health.
{
grpc::ClientContext ctx;
sp::CapabilityRequest req;
req.set_schema_version(sp::SCHEMA_VERSION_1);
sp::CapabilityReport rep;
grpc::Status status = stub->GetCapability(&ctx, req, &rep);
check(status.ok(), "GetCapability RPC");
check(rep.validated(), "capability validated");
check(rep.schema_version() == sp::SCHEMA_VERSION_1, "capability schema version");
}
{
grpc::ClientContext ctx;
sp::HealthRequest req;
req.set_schema_version(sp::SCHEMA_VERSION_1);
sp::HealthReport rep;
grpc::Status status = stub->Health(&ctx, req, &rep);
check(status.ok(), "Health RPC");
check(rep.state() == sp::SERVING_STATE_SERVING, "health serving");
}
// A minimal session: open -> fragmented prefill -> decode -> release.
{
grpc::ClientContext ctx;
auto stream = stub->Session(&ctx);
sp::SessionRequest open;
sp::SessionOpen* o = open.mutable_open();
o->set_schema_version(sp::SCHEMA_VERSION_1);
o->set_route_session_id("selftest");
o->set_route_epoch(1);
sp::FlowControl* fc = o->mutable_proposed_flow_control();
fc->set_credits_granted(16);
fc->set_max_inflight_chunks(16);
fc->set_max_chunk_bytes(4u * 1024u * 1024u);
check(stream->Write(open), "write open");
sp::SessionResponse accepted;
check(stream->Read(&accepted), "read accepted");
check(accepted.kind_case() == sp::SessionResponse::kAccepted, "accepted kind");
// Fragmented prefill: two fragments tiling a 6-byte payload.
const std::string payload = "ABCDEF";
sp::SessionRequest chunk;
sp::ActivationChunk* ac = chunk.mutable_chunk();
sp::Envelope* env = ac->mutable_envelope();
env->set_schema_version(sp::SCHEMA_VERSION_1);
env->set_work_id("w1");
env->set_route_session_id("selftest");
env->set_route_epoch(1);
env->set_idempotency_step(1);
env->set_phase(sp::PHASE_PREFILL);
sp::TensorBundle* bundle = ac->mutable_bundle();
bundle->set_bundle_version(1);
sp::NamedTensor* tensor = bundle->add_tensors();
tensor->set_name("hidden_states");
tensor->set_dtype(sp::DTYPE_BFLOAT16);
tensor->set_byte_order(sp::BYTE_ORDER_LITTLE_ENDIAN);
tensor->set_total_bytes(payload.size());
tensor->set_compression(sp::COMPRESSION_NONE);
sp::Checksum* cksum = tensor->mutable_checksum();
cksum->set_algorithm(sp::CHECKSUM_ALGORITHM_CRC32C);
const uint32_t crc = meshnet::worker::Crc32(payload);
std::string crc_be(4, '\0');
crc_be[0] = static_cast<char>((crc >> 24) & 0xFF);
crc_be[1] = static_cast<char>((crc >> 16) & 0xFF);
crc_be[2] = static_cast<char>((crc >> 8) & 0xFF);
crc_be[3] = static_cast<char>(crc & 0xFF);
cksum->set_value(crc_be);
sp::TensorFragment* f0 = tensor->add_fragments();
f0->set_fragment_index(0);
f0->set_fragment_count(2);
f0->set_byte_offset(0);
f0->set_payload(payload.substr(0, 3));
sp::TensorFragment* f1 = tensor->add_fragments();
f1->set_fragment_index(1);
f1->set_fragment_count(2);
f1->set_byte_offset(3);
f1->set_payload(payload.substr(3));
check(stream->Write(chunk), "write chunk");
sp::SessionResponse echoed;
check(stream->Read(&echoed), "read chunk echo");
check(echoed.kind_case() == sp::SessionResponse::kChunk, "chunk echo kind");
sp::SessionRequest decode;
sp::DecodeStep* ds = decode.mutable_decode();
ds->set_idempotency_step(2);
ds->set_position(1);
ds->set_work_id("w2");
sp::TensorBundle* dbundle = ds->mutable_bundle();
dbundle->set_bundle_version(1);
sp::NamedTensor* dt = dbundle->add_tensors();
dt->set_name("hidden_states");
dt->set_dtype(sp::DTYPE_BFLOAT16);
dt->set_byte_order(sp::BYTE_ORDER_LITTLE_ENDIAN);
dt->set_total_bytes(payload.size());
dt->set_compression(sp::COMPRESSION_NONE);
sp::Checksum* dck = dt->mutable_checksum();
dck->set_algorithm(sp::CHECKSUM_ALGORITHM_CRC32C);
dck->set_value(crc_be);
sp::TensorFragment* df = dt->add_fragments();
df->set_fragment_index(0);
df->set_fragment_count(1);
df->set_byte_offset(0);
df->set_payload(payload);
check(stream->Write(decode), "write decode");
sp::SessionResponse decode_echo;
check(stream->Read(&decode_echo), "read decode echo");
check(decode_echo.kind_case() == sp::SessionResponse::kChunk, "decode echo kind");
sp::SessionRequest release;
sp::ReleaseSignal* rs = release.mutable_release();
rs->set_route_session_id("selftest");
rs->set_work_id("w-final");
check(stream->Write(release), "write release");
stream->WritesDone();
sp::SessionResponse terminal;
check(stream->Read(&terminal), "read terminal");
check(terminal.kind_case() == sp::SessionResponse::kStatus && terminal.status().terminal(),
"terminal status");
grpc::Status status = stream->Finish();
check(status.ok(), "stream finish");
}
server->Shutdown();
server->Wait();
if (failures == 0) {
std::cout << "selftest: all lifecycle checks passed\n";
return 0;
}
std::cerr << "selftest: " << failures << " check(s) failed\n";
return 1;
}
#endif
}
} // namespace
int main(int argc, char** argv) {
GOOGLE_PROTOBUF_VERIFY_VERSION;
for (int i = 1; i < argc; ++i) {
if (std::strcmp(argv[i], "--selftest") == 0) {
return RunSelfTest();
}
}
std::string listen_addr = "localhost:50051";
if (const char* env = std::getenv("MESHNET_SHARD_LISTEN_ADDR")) {
listen_addr = env;
}
if (argc > 1 && argv[1][0] != '-') {
listen_addr = argv[1];
}
meshnet::worker::WorkerIdentity identity;
std::string load_error;
if (!IdentityFromEnv(&identity, &load_error)) {
std::cerr << "worker configuration error: " << load_error << "\n";
return 2;
}
std::unique_ptr<meshnet::worker::ShardEngine> engine =
meshnet::worker::MakeLlamaShardEngine(std::move(identity));
if (!engine->Load(&load_error)) {
std::cerr << "worker load error: " << load_error << "\n";
return 2;
}
meshnet::worker::FlowLimits limits = LimitsFromEnv();
meshnet::worker::ShardRuntimeServiceImpl service(limits, *engine);
grpc::ServerBuilder builder;
int selected_port = 0;
builder.AddListeningPort(listen_addr, grpc::InsecureServerCredentials(), &selected_port);
// Bounded messages, two layers: a hard transport receive ceiling (never below
// 4 MiB so the handshake and normal chunks always fit) plus the finer
// app-level per-tensor RESOURCE_EXHAUSTED check the service enforces against
// the negotiated max_chunk_bytes. Neither path lets an unbounded frame in.
constexpr int kTransportFloor = 4 * 1024 * 1024;
const int transport_max = limits.max_chunk_bytes > static_cast<uint64_t>(kTransportFloor)
? static_cast<int>(limits.max_chunk_bytes)
: kTransportFloor;
builder.SetMaxReceiveMessageSize(transport_max);
builder.RegisterService(&service);
std::unique_ptr<grpc::Server> server(builder.BuildAndStart());
if (!server || selected_port == 0) {
std::cerr << "failed to bind " << listen_addr << "\n";
return 1;
}
int pipe_fds[2];
if (::pipe(pipe_fds) != 0) {
std::cerr << "failed to create shutdown pipe\n";
return 1;
}
g_signal_pipe_write_fd = pipe_fds[1];
struct sigaction sa;
std::memset(&sa, 0, sizeof(sa));
sa.sa_handler = HandleTermination;
::sigaction(SIGTERM, &sa, nullptr);
::sigaction(SIGINT, &sa, nullptr);
// Drain thread: wakes on the first termination signal and shuts the server
// down gracefully so in-flight sessions finish rather than being severed.
std::thread drain([&server, read_fd = pipe_fds[0]]() {
char byte = 0;
ssize_t rc = 0;
do {
rc = ::read(read_fd, &byte, 1);
} while (rc < 0 && errno == EINTR);
server->Shutdown();
});
std::cout << "ShardRuntime worker listening on " << listen_addr << std::endl;
server->Wait();
engine->Shutdown();
drain.join();
::close(pipe_fds[0]);
::close(pipe_fds[1]);
std::cout << "ShardRuntime worker shut down cleanly" << std::endl;
return 0;
}

View File

@@ -190,6 +190,14 @@ class CapabilityState:
# ("dark"/"certified"), so the network map answers "why is this exact node
# not routing" without a second query. None when no identity was presented.
certification: str | None = None
memory_capacity_bytes: int | None = None
kv_capacity_tokens: int | None = None
max_concurrent_sessions: int | None = None
measured_tokens_per_second: float | None = None
reported_queue_depth: int | None = None
seam_latency_ms: float | None = None
healthy: bool | None = None
reliability: float | None = None
@property
def proven(self) -> bool:
@@ -233,6 +241,14 @@ class CapabilityState:
"runtime_recipe_digest": self.runtime_recipe_digest,
"shard_binding_digest": self.shard_binding_digest,
"certification": self.certification,
"memory_capacity_bytes": self.memory_capacity_bytes,
"kv_capacity_tokens": self.kv_capacity_tokens,
"max_concurrent_sessions": self.max_concurrent_sessions,
"measured_tokens_per_second": self.measured_tokens_per_second,
"reported_queue_depth": self.reported_queue_depth,
"seam_latency_ms": self.seam_latency_ms,
"healthy": self.healthy,
"reliability": self.reliability,
}
@@ -491,6 +507,13 @@ def _parse_report(doc: Mapping[str, Any]) -> dict:
if isinstance(schema_version, bool) or not isinstance(schema_version, int):
raise _ReportError("'schema_version' must be an integer")
capacity = doc.get("capacity")
if capacity is not None:
capacity = _object(capacity, "capacity")
routing = doc.get("routing")
if routing is not None:
routing = _object(routing, "routing")
return {
"model_id": _text(model.get("model_id"), "model.model_id"),
"shard_start": _index(shard.get("start"), "shard.start"),
@@ -508,6 +531,36 @@ def _parse_report(doc: Mapping[str, Any]) -> dict:
"validated_at": float(validated_at),
"schema_version": schema_version,
"diagnostics": _diagnostics(doc.get("diagnostics")),
"memory_capacity_bytes": _optional_positive_int(
None if capacity is None else capacity.get("memory_capacity_bytes"),
"capacity.memory_capacity_bytes",
),
"kv_capacity_tokens": _optional_positive_int(
None if capacity is None else capacity.get("kv_capacity_tokens"),
"capacity.kv_capacity_tokens",
),
"max_concurrent_sessions": _optional_positive_int(
None if capacity is None else capacity.get("max_concurrent_sessions"),
"capacity.max_concurrent_sessions",
),
"measured_tokens_per_second": _optional_positive_float(
None if routing is None else routing.get("tokens_per_second"),
"routing.tokens_per_second",
),
"reported_queue_depth": _optional_nonnegative_int(
None if routing is None else routing.get("queue_depth"),
"routing.queue_depth",
),
"seam_latency_ms": _optional_nonnegative_float(
None if routing is None else routing.get("seam_latency_ms"),
"routing.seam_latency_ms",
),
"healthy": _optional_bool(
None if routing is None else routing.get("healthy"), "routing.healthy"
),
"reliability": _optional_unit_float(
None if routing is None else routing.get("reliability"), "routing.reliability"
),
"_status": _text(doc.get("status"), "status"),
}
@@ -536,6 +589,53 @@ def _index(value: Any, field_name: str) -> int:
return value
def _optional_positive_int(value: Any, field_name: str) -> int | None:
if value is None:
return None
if isinstance(value, bool) or not isinstance(value, int) or value < 1:
raise _ReportError(f"{field_name!r} must be a positive integer")
return value
def _optional_nonnegative_int(value: Any, field_name: str) -> int | None:
if value is None:
return None
if isinstance(value, bool) or not isinstance(value, int) or value < 0:
raise _ReportError(f"{field_name!r} must be a non-negative integer")
return value
def _optional_positive_float(value: Any, field_name: str) -> float | None:
if value is None:
return None
if isinstance(value, bool) or not isinstance(value, (int, float)) or value <= 0:
raise _ReportError(f"{field_name!r} must be a positive number")
return float(value)
def _optional_nonnegative_float(value: Any, field_name: str) -> float | None:
if value is None:
return None
if isinstance(value, bool) or not isinstance(value, (int, float)) or value < 0:
raise _ReportError(f"{field_name!r} must be a non-negative number")
return float(value)
def _optional_bool(value: Any, field_name: str) -> bool | None:
if value is None:
return None
if not isinstance(value, bool):
raise _ReportError(f"{field_name!r} must be a boolean")
return value
def _optional_unit_float(value: Any, field_name: str) -> float | None:
parsed = _optional_nonnegative_float(value, field_name)
if parsed is not None and parsed > 1:
raise _ReportError(f"{field_name!r} must be a number from 0 to 1")
return parsed
def _maybe_int(value: Any) -> int | None:
if isinstance(value, bool) or not isinstance(value, int):
return None

View File

@@ -4684,6 +4684,11 @@ class _TrackerHandler(http.server.BaseHTTPRequestHandler):
friendly_name=friendly_name,
capability=capability,
)
# A report may seed the same load/throughput inputs that legacy nodes
# supply through registration and heartbeats. The optional block is
# backend-neutral; routing still applies its usual queue adjustment.
if capability.reported_queue_depth is not None:
entry.queue_depth = capability.reported_queue_depth
with server.lock:
self._purge_expired_nodes()
# Dedup: replace the same node id or the same endpoint+model assignment.

View File

@@ -32,18 +32,26 @@ LOCK_PATH = LLAMA_DIR / "UPSTREAM_LOCK.json"
PATCH_DIR = LLAMA_DIR / "patches"
def _cmake() -> str:
def _toolchain_binary(name: str, env_var: str) -> str:
"""Use an explicit override, PATH, or the active Python environment."""
configured = os.environ.get("CMAKE")
configured = os.environ.get(env_var)
if configured:
return configured
on_path = shutil.which("cmake")
on_path = shutil.which(name)
if on_path:
return on_path
sibling = pathlib.Path(sys.executable).parent / "cmake"
sibling = pathlib.Path(sys.executable).parent / name
if sibling.is_file():
return str(sibling)
raise DependencyError("cmake is unavailable; set CMAKE or activate the project toolchain")
raise DependencyError(f"{name} is unavailable; set {env_var} or activate the project toolchain")
def _cmake() -> str:
return _toolchain_binary("cmake", "CMAKE")
def _ctest() -> str:
return _toolchain_binary("ctest", "CTEST")
class DependencyError(RuntimeError):
@@ -101,9 +109,41 @@ def _load_lock() -> dict[str, Any]:
"workspace": "build/llama.cpp",
}:
raise DependencyError("retrieval must use the locked detached-commit build workspace")
_verify_accelerator_presets(lock)
return lock
def _verify_accelerator_presets(lock: dict[str, Any]) -> None:
"""Each preset must isolate one backend that the CPU default leaves OFF.
This is what keeps DGR-030's presets from ever being able to change the
deterministic CPU default recorded in ``build.configure_flags``: a preset
can only exist for a flag this lock already pins OFF, and
``accelerator_configure_flags`` only ever returns a fresh list, never
mutates ``build.configure_flags`` in place.
"""
presets = lock.get("accelerator_presets", {})
if not isinstance(presets, dict):
raise DependencyError("accelerator_presets must be a JSON object")
if not presets:
return
base_flags = dict(flag[len("-D"):].split("=", 1) for flag in lock["build"]["configure_flags"])
for name, preset in presets.items():
if not isinstance(preset, dict):
raise DependencyError(f"accelerator_presets.{name} must be a JSON object")
backend_flag = preset.get("backend_flag")
if not isinstance(backend_flag, str) or not backend_flag:
raise DependencyError(f"accelerator_presets.{name} is missing backend_flag")
if base_flags.get(backend_flag) != "OFF":
raise DependencyError(
f"accelerator_presets.{name} backend flag {backend_flag} must be OFF in "
"the deterministic CPU default build.configure_flags"
)
probe = preset.get("sdk_probe")
if not isinstance(probe, dict) or not isinstance(probe.get("binary"), str) or not probe["binary"]:
raise DependencyError(f"accelerator_presets.{name} is missing an sdk_probe.binary")
def _patches(lock: dict[str, Any]) -> list[pathlib.Path]:
series = [line for line in (PATCH_DIR / "series").read_text().splitlines() if line]
if series != lock["patch_series"] or series != sorted(series) or not series:
@@ -492,6 +532,123 @@ def smoke(binary: pathlib.Path) -> None:
print(output)
def ctest_lane(build_dir: pathlib.Path) -> None:
"""Run the deterministic model-free CPU CTest lane and print its output."""
lock = _load_lock()
regex = lock["build"]["ctest_regex"]
print(_run(_ctest(), "--test-dir", str(build_dir), "-R", regex, "--output-on-failure"))
def _sdk_probe(probe: dict[str, Any]) -> str | None:
"""Resolve one accelerator lane's SDK binary, or None if it is unavailable."""
platform_only = probe.get("platform_only")
if platform_only and sys.platform != platform_only:
return None
env_var = probe.get("env_var")
if env_var:
override = os.environ.get(env_var)
if override:
return override
return shutil.which(probe["binary"])
def accelerator_status(name: str, lock: dict[str, Any] | None = None) -> dict[str, Any]:
"""Report whether lane `name`'s SDK is present, never raising for absence.
This is the single source of truth for DGR-030's "unavailable/skipped, not
false success" contract: absence is reported as data, not swallowed and
not escalated into a build attempt.
"""
lock = lock if lock is not None else _load_lock()
presets = lock.get("accelerator_presets", {})
if name not in presets:
raise DependencyError(f"unknown accelerator lane: {name}")
probe = presets[name]["sdk_probe"]
resolved = _sdk_probe(probe)
if resolved is None:
platform_only = probe.get("platform_only")
if platform_only and sys.platform != platform_only:
reason = f"platform {sys.platform!r} is not {platform_only!r}"
else:
reason = f"{probe['binary']} is unavailable on PATH"
return {"lane": name, "available": False, "reason": reason}
return {"lane": name, "available": True, "sdk_binary": resolved}
def accelerator_configure_flags(lock: dict[str, Any], name: str) -> list[str]:
"""The CPU default's configure flags with exactly one backend flag flipped ON.
Returns a new list; `lock["build"]["configure_flags"]` (the deterministic
CPU default DGR-029 locked) is never mutated.
"""
presets = lock.get("accelerator_presets", {})
if name not in presets:
raise DependencyError(f"unknown accelerator lane: {name}")
backend_flag = presets[name]["backend_flag"]
target = f"-D{backend_flag}="
flags: list[str] = []
replaced = False
for flag in lock["build"]["configure_flags"]:
if flag.startswith(target):
flags.append(f"-D{backend_flag}=ON")
replaced = True
else:
flags.append(flag)
if not replaced:
raise DependencyError(f"accelerator lane {name} backend flag {backend_flag} is not a locked base flag")
return flags
def accelerator_build(source: pathlib.Path, name: str, build_dir: pathlib.Path) -> pathlib.Path:
"""Compile lane `name` into its own out-of-tree directory. Compile-only.
This never runs `smoke`/`ctest_lane`: exercising a binary linked against an
accelerator backend would touch real hardware, and DGR-030 keeps every
backend/model/recipe lane registered-dark (compiled, never certified)
until a separate real-hardware certification record exists.
"""
lock = _load_lock()
_patches(lock)
_verify_source(source, lock, require_clean=False)
_verify_patched_source(source, lock)
expected_marker = source / "cmake/meshnet-patch-stack.cmake"
if not expected_marker.is_file():
raise DependencyError("patch stack is not applied: Meshnet CMake marker is absent")
if build_dir.exists():
raise DependencyError(f"accelerator build directory already exists; use a clean build dir: {build_dir}")
status = accelerator_status(name, lock)
if not status["available"]:
raise DependencyError(f"accelerator lane {name} SDK is unavailable: {status['reason']}")
flags = accelerator_configure_flags(lock, name)
cmake = _cmake()
_run(cmake, "-G", lock["build"]["generator"], "-S", str(source), "-B", str(build_dir), *flags)
for target in lock["build"]["native_targets"]:
_run(cmake, "--build", str(build_dir), "--target", target, "-j2")
metadata = {
"lane": name,
"backend_flag": lock["accelerator_presets"][name]["backend_flag"],
"commit": lock["commit"],
"commit_tree": lock["commit_tree"],
"patches": {patch.name: hashlib.sha256(patch.read_bytes()).hexdigest() for patch in _patches(lock)},
"configure_flags": flags,
"cmake": _run(cmake, "--version").splitlines()[0],
"cxx": _run("c++", "--version").splitlines()[0],
"sdk_binary": status["sdk_binary"],
"model_downloads": False,
"hardware_execution": False,
"hardware_certified": False,
"semantic_certification": False,
"note": (
"compiled only; no accelerator device was exercised or driven. "
"Backend/model/recipe capability remains registered-dark until a "
"separate real-hardware certification record exists (see "
"DGR-041/053/067)."
),
}
(build_dir / "meshnet-build-metadata.json").write_text(json.dumps(metadata, indent=2, sort_keys=True) + "\n")
return build_dir
def verify(workspace: pathlib.Path) -> None:
"""Apply, verify, reverse, and leave the exact cached pin pristine."""
source = fetch(workspace)
@@ -500,12 +657,16 @@ def verify(workspace: pathlib.Path) -> None:
def reproduce(workspace: pathlib.Path) -> None:
"""Configure, build, smoke-test, and CTest a clean checkout, then restore the pristine cache."""
source = fetch(workspace)
build_dir = workspace.resolve() / "build"
if build_dir.exists():
raise DependencyError(f"build directory already exists; refusing to erase possible local edits: {build_dir}")
apply(source)
smoke(build(source, build_dir))
binary = build(source, build_dir)
smoke(binary)
ctest_lane(build_dir)
reverse(source)
def inspect() -> None:
@@ -541,6 +702,14 @@ def main() -> int:
build_parser.add_argument("--build-dir", type=pathlib.Path, required=True)
smoke_parser = subcommands.add_parser("smoke")
smoke_parser.add_argument("--binary", type=pathlib.Path, required=True)
ctest_parser = subcommands.add_parser("ctest")
ctest_parser.add_argument("--build-dir", type=pathlib.Path, required=True)
accel_status_parser = subcommands.add_parser("accelerator-status")
accel_status_parser.add_argument("--name", required=True)
accel_build_parser = subcommands.add_parser("accelerator-build")
accel_build_parser.add_argument("--name", required=True)
accel_build_parser.add_argument("--source-dir", type=pathlib.Path, required=True)
accel_build_parser.add_argument("--build-dir", type=pathlib.Path, required=True)
reproduce_parser = subcommands.add_parser("reproduce")
reproduce_parser.add_argument("--workspace", type=pathlib.Path, default=ROOT / "build/llama.cpp")
args = parser.parse_args()
@@ -559,6 +728,12 @@ def main() -> int:
build(args.source_dir, args.build_dir)
elif args.command == "smoke":
smoke(args.binary)
elif args.command == "ctest":
ctest_lane(args.build_dir)
elif args.command == "accelerator-status":
print(json.dumps(accelerator_status(args.name), indent=2, sort_keys=True))
elif args.command == "accelerator-build":
accelerator_build(args.source_dir, args.name, args.build_dir)
else:
reproduce(args.workspace)
except DependencyError as error:

View File

@@ -0,0 +1,112 @@
#!/usr/bin/env python3
"""DGR-030: native CI/build matrix over the CPU default plus accelerator lanes.
Runs the exact deterministic CPU lane DGR-029 locked (unchanged), then probes
each accelerator preset (CUDA, ROCm, Vulkan, Metal) from `UPSTREAM_LOCK.json`
and compiles the ones whose SDK is present on this machine into their own
out-of-tree build directory.
A lane whose SDK is absent is reported as `skipped` with the exact probe
reason, never treated as a false pass. A lane that compiles is reported as
`built`, carrying exact compiler/SDK/upstream-pin/patch-stack/build-option
evidence — never as a certified capability. This script never runs an
accelerator binary and never certifies a backend/model/recipe: real-hardware
certification is separate future work (DGR-041/053/067).
"""
from __future__ import annotations
import argparse
import json
import pathlib
import sys
from typing import Any
ROOT = pathlib.Path(__file__).resolve().parents[1]
sys.path.insert(0, str(ROOT / "scripts"))
import llama_cpp_dependency as dep # noqa: E402
def _cpu_lane(source: pathlib.Path, workspace: pathlib.Path) -> dict[str, Any]:
build_dir = workspace.resolve() / "build"
if build_dir.exists():
return {
"lane": "cpu",
"status": "skipped",
"reason": f"build directory already exists; remove for a clean rebuild: {build_dir}",
}
binary = dep.build(source, build_dir)
dep.smoke(binary)
dep.ctest_lane(build_dir)
metadata = json.loads((build_dir / "meshnet-build-metadata.json").read_text())
return {"lane": "cpu", "status": "built", "build_dir": str(build_dir), "metadata": metadata}
def _accelerator_lane(source: pathlib.Path, workspace: pathlib.Path, name: str, lock: dict[str, Any]) -> dict[str, Any]:
status = dep.accelerator_status(name, lock)
if not status["available"]:
return {"lane": name, "status": "skipped", "reason": status["reason"]}
build_dir = workspace.resolve() / f"build-{name}"
if build_dir.exists():
return {
"lane": name,
"status": "skipped",
"reason": f"build directory already exists; remove for a clean rebuild: {build_dir}",
}
dep.accelerator_build(source, name, build_dir)
metadata = json.loads((build_dir / "meshnet-build-metadata.json").read_text())
return {"lane": name, "status": "built", "build_dir": str(build_dir), "metadata": metadata}
def run_matrix(workspace: pathlib.Path) -> dict[str, Any]:
"""Fetch/apply once, run every lane, then always reverse the checkout."""
source = dep.fetch(workspace)
dep.apply(source)
lanes: list[dict[str, Any]] = []
try:
lock = dep._load_lock()
try:
lanes.append(_cpu_lane(source, workspace))
except dep.DependencyError as error:
lanes.append({"lane": "cpu", "status": "failed", "reason": str(error)})
for name in lock.get("accelerator_presets", {}):
try:
lanes.append(_accelerator_lane(source, workspace, name, lock))
except dep.DependencyError as error:
lanes.append({"lane": name, "status": "failed", "reason": str(error)})
finally:
dep.reverse(source)
failed_lanes = [lane["lane"] for lane in lanes if lane["status"] == "failed"]
return {
"lanes": lanes,
"hardware_certified": False,
"note": (
"A `built` lane means it compiled with the exact recorded compiler/SDK/"
"upstream-pin/patch-stack/build-option evidence — it never means an "
"accelerator device was exercised. Every backend/model/recipe lane "
"stays registered-dark until a separate real-hardware certification "
"record exists."
),
"failed_lanes": failed_lanes,
}
def main() -> int:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--workspace", type=pathlib.Path, default=ROOT / "build/llama.cpp")
parser.add_argument("--out", type=pathlib.Path, default=None, help="also write the JSON report here")
args = parser.parse_args()
try:
report = run_matrix(args.workspace)
except dep.DependencyError as error:
print(f"DGR-030 dependency error: {error}", file=sys.stderr)
return 2
text = json.dumps(report, indent=2, sort_keys=True)
print(text)
if args.out:
args.out.write_text(text + "\n")
return 1 if report["failed_lanes"] else 0
if __name__ == "__main__":
raise SystemExit(main())

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@@ -0,0 +1,77 @@
#!/usr/bin/env python3
"""Provision exact split-GGUF artifacts to mounted-drive storage (DGR-026).
Reads a split-artifact manifest (`meshnet_node.split_gguf.manifest`),
resumably fetches every split it declares — by default from the split's
manifest `url` over HTTP(S), or from a local directory with `--source-dir`
for splits already staged/mirrored elsewhere — verifies each split's SHA-256
against the manifest, and refuses to write under `/home`.
This tool never invents a quantization, split count, or layer layout: it only
executes whatever the manifest declares. It is opt-in and network-using; the
default test suite never calls it.
"""
from __future__ import annotations
import argparse
import pathlib
import sys
ROOT = pathlib.Path(__file__).resolve().parents[1]
sys.path.insert(0, str(ROOT / "packages/node"))
from meshnet_node.split_gguf.manifest import ( # noqa: E402
SplitArtifactManifestError,
load_split_artifact_manifest,
)
from meshnet_node.split_gguf.provision import ( # noqa: E402
SplitProvisionError,
http_split_fetcher,
local_directory_fetcher,
provision_split_artifact,
)
def main(argv: list[str] | None = None) -> int:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--manifest", required=True, type=pathlib.Path, help="split-artifact manifest JSON")
parser.add_argument("--dest", required=True, type=pathlib.Path, help="mounted-drive destination directory")
parser.add_argument(
"--source-dir",
type=pathlib.Path,
default=None,
help="copy splits from this local directory instead of downloading each split's manifest url",
)
args = parser.parse_args(argv)
try:
manifest = load_split_artifact_manifest(args.manifest)
except SplitArtifactManifestError as exc:
print(f"error: {exc}", file=sys.stderr)
return 2
if args.source_dir is not None:
fetch = local_directory_fetcher(args.source_dir)
else:
missing_urls = [split.name for split in manifest.splits if not split.url]
if missing_urls:
print(
f"error: manifest splits missing a url and no --source-dir given: {missing_urls}",
file=sys.stderr,
)
return 2
fetch = http_split_fetcher(lambda split: split.url)
try:
result = provision_split_artifact(manifest, args.dest, fetch)
except SplitProvisionError as exc:
print(f"error: {exc}", file=sys.stderr)
return 1
print(f"provisioned {len(result.verified_splits)} split(s) to {result.dest_dir}")
return 0
if __name__ == "__main__":
raise SystemExit(main())

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