This commit is contained in:
Dobromir Popov
2026-07-21 14:00:30 +03:00
parent cd6b4d9d48
commit 505f37dd8d
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# Iteration 1 Log
## Metadata
- **Task ID**: DGR-002
- **Task Title**: Adopt the versioned gRPC Shard protocol
- **Description**: MANDATORY FRESH-SESSION CONTEXT: Read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md` and `.scratch/distributed-gguf-runtime/issues/02-adopt-the-versioned-grpc-shard-protocol.md` completely befor...
- **Status**: completed
- **Task Completed**: Yes
- **Promise Detected**: Yes
- **Started At**: 2026-07-15T13:15:13.978Z
- **Ended At**: 2026-07-15T13:55:00.867Z
- **Duration**: 39m 46s
- **Input Tokens**: 557
- **Output Tokens**: 97325
- **Total Tokens**: 97882
- **Agent**: claude
- **Model**: claude-opus-4-8
- **Sandbox Mode**: auto
- **Sandbox Network**: Enabled
--- RAW OUTPUT ---
I'll start by reading the mandatory context files before doing anything else.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/issues/02-adopt-the-versioned-grpc-shard-protocol.md
Now let me read the required additional context and inspect current state.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.ralph-tui/progress.md
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/docs/adr/0024-distributed-gguf-runtime.md
[Bash] Check git status and current branch $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI && git status && echo "---BRANCH---" && git branch --...
I ran that in the main repo, not the worktree. Let me check the worktree state, which is my actual working directory.
[Bash] Check worktree git status $ git status && echo "---BRANCH---" && git branch --show-current && echo "---LOG---" && git log --onel...
The worktree is correct. There's a pre-existing deletion of `.ralph-tui/config.toml` I must preserve. Let me check the prd.json for DGR-002 and whether any native/proto work already exists.
[Bash] Check existing native protocol work $ echo "=== evidence dirs ===" && ls .scratch/distributed-gguf-runtime/evidence/ 2>/dev/null
[Bash] Inspect DGR-002 in prd.json $ print(list(d.keys()))"
No prior DGR-002 work exists. Let me inspect the prd.json structure and key existing code seams.
[Bash] Find DGR-002 in prd.json $ python3 -c " import json d=json.load(open('.scratch/distributed-gguf-runtime/prd.json')) print('TOP ...
Let me check DGR-002 dependencies/passes state, the existing activation compression seam for tensor framing conventions, and Python tooling availability.
[Bash] Check deps and proto tooling $ python3 --version
Important: `grpcio-tools`/`grpc` and `protoc` are missing, and I'm on the hermes-agent venv. Let me find the project's actual venv and tooling.
[Bash] Find project venv and proto tooling $ print('protobuf OK', google.protobuf.__version__)" 2>&1 | tail -1 fi done
[Bash] Find venvs and pytest config $ head -30 tests/test_route_session_benchmark.py 2>/dev/null
[Bash] Check .venv tooling and conftest $ grep -iE "grpc|protobuf|pytest|python_requires|requires-python" pyproject.toml | head -20
The `.venv` (Python 3.14) has grpcio-tools, grpcio 1.82.1, protobuf 7.35.1. That's the test environment. Let me read the pytest config and inspect key existing seams for conventions.
[Bash] Pytest config, C++ tooling, activation compression conventions $ print(os.path.dirname(grpc_tools.__file__))" echo "=== activation_compression head ===" sed -n '1,60...
g++ exists but no `protoc`, `grpc_cpp_plugin`, or `cmake` on PATH. Let me check for protobuf C++ headers/libs and whether grpc_tools' bundled protoc can emit C++.
[Bash] Check protobuf C++ dev libs and cpp codegen $ } EOF $ROOT/.venv/bin/python -m grpc_tools.protoc -I. --cpp_out=. _p.proto 2>&1 && ls -la _p.pb.* 2>...
`grpc_tools.protoc` can't emit C++ (no bundled cpp generator), there's no standalone `protoc`, no `grpc_cpp_plugin`, no `cmake`, and no protobuf C++ headers (`/usr/include/google/protobuf` absent — only the runtime `.so`). So the C++ build/test can't be *executed* here, but I can still write reproducible C++ generation/build wiring + test source and gate it to skip honestly. Let me inspect package conventions and gitignore.
[Bash] Inspect package conventions and gitignore $ echo "=== meshnet_node package ===" ls packages/node/meshnet_node/ | head -40 echo "=== has __init__...
`.gitignore` already ignores `build/` globally, so I'll generate Python stubs on-demand into a gitignored build dir. Now I have full context. Let me set up a task list and write the schema.
[ToolSearch] query: select:TaskCreate,TaskUpdate
[TaskCreate] Author packages/node/native/proto/shard_runtime.proto with capability/health/session-stream/release/cancel services, versioned header, named-tensor bundle, prefill chunking + decode fast path, flow control, structured status.
[TaskCreate] native_protocol package: on-demand grpc_tools codegen into gitignored build dir, loader, checksum/fragment helpers. Reproducible standalone generate script.
[TaskCreate] CMakeLists + generate_cpp.sh + roundtrip_test.cpp, reproducible where protoc/grpc/cmake exist; gated skip otherwise.
[TaskCreate] tests/test_native_shard_protocol.py: round-trip, forward/backward compatibility (unknown field preservation), field coverage, and C++ driver that skips when toolchain absent.
[TaskCreate] Run pytest targeted+full, compileall, git diff --check; write evidence/DGR-002/README.md; append progress.md; set issue Status: done.
[TaskUpdate]
Now the schema. This is the core semantic contract.
[Write] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/native/proto/shard_runtime.proto "// Shard runtime data-plane protocol for the distributed GGUF runtime (ADR-0024).
//
// This schema is the semantic contract between Python and C++ Shards. Direct
// transport is gRPC over HTTP/2; the... (13448 chars)"
Let me validate the proto compiles with grpc_tools before building the rest around it.
[Bash] Validate proto codegen and round-trip $ sa2.ParseFromString(raw) print('roundtrip which', sa2.WhichOneof('payload'), sa2.prefill.header.work...
Proto compiles and round-trips cleanly. Now the Python loader package.
[TaskUpdate]
[TaskUpdate]
[Write] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/native_protocol/__init__.py """"Loader and helpers for the versioned gRPC Shard protocol (ADR-0024, DGR-002).
The ``.proto`` schema at ``packages/node/native/proto/shard_runtime.proto`` is the
single source of truth. Rather than... (10287 chars)"
Now the reproducible standalone Python generation script, then verify the loader.
[Write] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/native/scripts/generate_python.py "#!/usr/bin/env python3
"""Reproducibly generate the Python Shard-protocol stubs from the schema.
This is the documented, no-manual-copy generation entry point referenced by
``evidence/DGR-002/README.... (1197 chars)"
[Bash] Run generation script and smoke test loader/helpers $ sys.path.insert(0,'packages/node') from meshnet_node import native_protocol as proto pb2 = proto.loa...
[Bash] Read background output $ cat /tmp/claude-1000/-run-media-popov-d-DEV-repos-d-popov-com-AI--claude-worktrees-distributed-gguf-...
The standalone script hit a real gotcha: `import meshnet_node` resolved to the **main repo** checkout, not the worktree. Let me investigate how `meshnet_node` is installed so tests in the worktree resolve correctly.
[Bash] Investigate meshnet_node install method $ print(meshnet_node.__file__)"
Good — `insert(0)` of the worktree path does win over the editable finder. Let me debug why the script resolved differently, then make it self-contained.
[Bash] Check parents[2] resolution $ cd $ROOT/.claude/worktrees/distributed-gguf-runtime $ROOT/.venv/bin/python -c " import pathlib f = p...
[Bash] Re-run generate script $ cd $ROOT/.claude/worktrees/distributed-gguf-runtime $ROOT/.venv/bin/python packages/node/native/scri...
Running as a script puts the script's own dir on `sys.path[0]`, and the editable finder then wins for `meshnet_node`. I'll make the script self-contained (no `meshnet_node` import). First let me confirm the pytest-style import path resolves to the worktree.
[Bash] Confirm pytest-style import resolves to worktree $ cd $ROOT/.claude/worktrees/distributed-gguf-runtime echo "=== mimic conftest: insert worktree packag...
Confirmed: pytest-style import resolves to the worktree correctly. The script just shouldn't import `meshnet_node`. Let me rewrite it self-contained.
[Write] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/native/scripts/generate_python.py "#!/usr/bin/env python3
"""Reproducibly generate the Python Shard-protocol stubs from the schema.
This is the documented, no-manual-copy generation entry point referenced by
``evidence/DGR-002/README.... (2315 chars)"
[Bash] Run self-contained generate script from clean state $ cd $ROOT/.claude/worktrees/distributed-gguf-runtime rm -rf packages/node/native/build $ROOT/.venv/bi...
Python codegen works. Now the C++ generation/build wiring and test.
[TaskUpdate]
[TaskUpdate]
[Write] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/native/tests/roundtrip_test.cpp "// C++ round-trip and cross-language compatibility test for the Shard protocol.
//
// Modes (composable):
// --selftest serialize a sample message, parse it back, verify fields.
// --read ... (6216 chars)"
[Write] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/native/CMakeLists.txt "# Reproducible C++ build wiring for the Shard runtime protocol (DGR-002).
#
# This generates C++ message stubs from proto/shard_runtime.proto and builds the
# round-trip / cross-language compatibility... (1919 chars)"
[Write] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/native/scripts/generate_cpp.sh "#!/usr/bin/env bash
# Reproducibly generate the C++ Shard-protocol stubs from the schema.
#
# Produces message stubs (protoc --cpp_out) always, and gRPC C++ service stubs
# (protoc --grpc_out with grp... (1497 chars)"
[Bash] Make generate_cpp.sh executable $ chmod +x /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/pack...
Now the Python test suite that also drives the C++ test cross-language when the toolchain is present.
[TaskUpdate]
[TaskUpdate]
[Write] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/tests/test_native_shard_protocol.py """"DGR-002: generated-schema round-trip and compatibility tests.
Covers the versioned gRPC Shard protocol (``packages/node/native/proto``):
* Python round-trip across the full envelope, tensor bund... (18016 chars)"
Let me remove the unused `struct` import noise.
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/tests/test_native_shard_protocol.py edit: "import shutil
import struct
import subprocess" → "import shutil
import subprocess"
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/tests/test_native_shard_protocol.py edit: " out.append(byte)
return by..." → " out.append(byte)
return by..."
Now run the new test suite with the project `.venv`.
[Bash] Run new protocol tests $ cd $ROOT/.claude/worktrees/distributed-gguf-runtime $ROOT/.venv/bin/python -m pytest tests/test_nati...
[Bash] Read pytest output $ cat /tmp/claude-1000/-run-media-popov-d-DEV-repos-d-popov-com-AI--claude-worktrees-distributed-gguf-...
[Bash] Read pytest output again $ cat /tmp/claude-1000/-run-media-popov-d-DEV-repos-d-popov-com-AI--claude-worktrees-distributed-gguf-...
[Bash] Inspect output file $ cat "$f"
The background pipe swallowed output. Let me run it in foreground.
[Bash] Run protocol tests foreground $ cd $ROOT/.claude/worktrees/distributed-gguf-runtime $ROOT/.venv/bin/python -m pytest tests/test_nati...
[Bash] Read test output $ cat /tmp/claude-1000/-run-media-popov-d-DEV-repos-d-popov-com-AI--claude-worktrees-distributed-gguf-...
[Read] /tmp/claude-1000/-run-media-popov-d-DEV-repos-d-popov-com-AI--claude-worktrees-distributed-gguf-runtime/6b866acc-b779-4367-8360-3bff20c070ab/tasks/brvpcxpc7.output
Let me run it writing to an explicit log file to avoid the pipe buffering issue.
[Bash] Run tests to log file $ cd $ROOT/.claude/worktrees/distributed-gguf-runtime $ROOT/.venv/bin/python -m pytest tests/test_nati...
The harness is auto-backgrounding these runs. I'll wait for completion.
[Bash] Wait and read test log $ cat /tmp/dgr002_test.log 2>/dev/null
One failure. Let me wait for the full run to finish and see which test failed.
[Bash] Read full test log $ cat /tmp/claude-1000/-run-media-popov-d-DEV-repos-d-popov-com-AI--claude-worktrees-distributed-gguf-...
[Bash] Check for running pytest processes $ ps aux | grep -c "[p]ytest"
Multiple runs are hung at the same point. Let me kill them and isolate the hang.
[Bash] Kill hung pytest processes $ pgrep -af "pytest tests/test_native_shard" | wc -l
[Error: Exit code 144]
Two real bugs found: (1) `load_grpc()` deadlocks because `threading.Lock` is non-reentrant and `load()` re-acquires it (that's the "hang" at test 11), and (2) the unknown-fields test failed. Let me fix the lock first.
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/native_protocol/__init__.py edit: "_lock = threading.Lock()" → "# Reentrant: load_grpc() holds the lock and calls ..."
Now diagnose the unknown-fields failure with a short-timeout foreground run.
[Bash] Diagnose failing and hanging tests with timeout $ cd $ROOT/.claude/worktrees/distributed-gguf-runtime timeout 60 $ROOT/.venv/bin/python -m pytest "tes...
The `service_descriptor` test now passes (RLock fixed the deadlock). The unknown-fields test failed because protobuf 7.x's upb backend doesn't implement the `UnknownFields()` accessor. I'll verify preservation behaviorally (re-serialize and confirm the bytes survive), which is the actual compatibility guarantee and backend-agnostic.
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/tests/test_native_shard_protocol.py edit: " parsed = pb2.MessageHeader()
parsed.ParseF..." → " parsed = pb2.MessageHeader()
# Parsing mus..."
[Bash] Run full protocol test suite $ cd $ROOT/.claude/worktrees/distributed-gguf-runtime timeout 120 $ROOT/.venv/bin/python -m pytest tes...
11 passed, 1 skipped (C++ cross-language — toolchain absent). Let me search the whole system for any protoc/cmake/protobuf headers so I can actually *execute* the C++ test rather than only ship it.
[Bash] Search system for protoc, cmake, protobuf headers $ find /run/media/popov/d/DEV/repos/d-popov.com/AI/.venv -name 'protoc*' 2>/dev/null | head
A full protobuf C++ toolchain exists under `/tmp/pbsrc/install/` and `cmake` is in the `.venv`. I can actually *execute* the C++ cross-language test to produce real evidence. Let me verify that toolchain.
[Bash] Inspect /tmp/pbsrc protobuf toolchain $ find /tmp/pbsrc/install -name 'protobuf-config.cmake' -o -name 'ProtobufConfig.cmake' 2>/dev/null | ...
A complete self-consistent protobuf 33.1 toolchain (protoc + headers + static libs + CMake config) is at `/tmp/pbsrc/install`, and cmake is in `.venv`. I can run the C++ test for real. Let me make the CMakeLists robust to both CONFIG and MODULE protobuf discovery so it works here and elsewhere.
[Write] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/native/CMakeLists.txt "# Reproducible C++ build wiring for the Shard runtime protocol (DGR-002).
#
# Generates C++ message stubs from proto/shard_runtime.proto and builds the
# round-trip / cross-language compatibility test... (2707 chars)"
Now run the real cross-language C++ test via the `/tmp/pbsrc` toolchain and `.venv` cmake.
[Bash] Run C++ cross-language test with real toolchain $ echo "which protoc: $(command -v protoc) ($(protoc --version))" timeout 300 $ROOT/.venv/bin/python ...
Good progress — cmake configured and protobuf was found; the only issue is embedded quotes in the `--proto_path="..."` args under `VERBATIM` (protoc took the quotes literally). Let me remove them.
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/native/CMakeLists.txt edit: " COMMAND "${SHARD_PROTOC_EXECUTABLE}"
-..." → " COMMAND "${SHARD_PROTOC_EXECUTABLE}"
"..."
[Bash] Re-run C++ cross-language test $ cd $ROOT/.claude/worktrees/distributed-gguf-runtime export PATH="/tmp/pbsrc/install/bin:$ROOT/.venv/...
The C++ cross-language round-trip **passes for real** — Python↔C++ both directions verified with protoc 33.1 + libprotobuf. Let me capture a standalone build+selftest and the generate_cpp.sh output for durable evidence.
[Bash] Standalone C++ build, selftest, ctest, generate_cpp.sh $ cd $ROOT/.claude/worktrees/distributed-gguf-runtime export PATH="/tmp/pbsrc/install/bin:$ROOT/.venv/...
Full C++ path works: build OK, selftest 128 bytes, ctest 1/1 passed. Now the quality gates.
[TaskUpdate]
[TaskUpdate]
[Bash] Run compileall, git diff check, verify ignores $ cd $ROOT/.claude/worktrees/distributed-gguf-runtime echo "=== git status (are build artifacts ignore...
`native/` and `native_protocol/` are new (untracked), build artifacts are ignored, and the pre-existing `.ralph-tui/config.toml` deletion is preserved. Let me confirm compileall's real exit code (the pipe masked it).
[Bash] Verify compileall exit code directly $ cd $ROOT/.claude/worktrees/distributed-gguf-runtime $ROOT/.venv/bin/python -m compileall -q packages...
compileall passes. Now the full deterministic suite (default env, so my C++ test skips). This confirms my changes don't break anything and records any pre-existing failures.
[Bash] Run full deterministic pytest suite $ cd $ROOT/.claude/worktrees/distributed-gguf-runtime timeout 1200 $ROOT/.venv/bin/python -m pytest -q...
11 failures, all in tracker routing / dynamic routing / manual route benchmark / toploc calibration — none touch `native_protocol`. My changes are purely additive new files, so these should be pre-existing. But I must prove it with a clean-tree reproduction. Let me move my untracked additions aside and re-run exactly those failing tests.
[Bash] Move untracked additions aside for clean-tree repro $ ls packages/node/meshnet_node/native_protocol 2>&1
[Error: Exit code 2
=== clean tree git status ===
D .ralph-tui/config.toml
=== confirm none of my files remain ===
ls: cannot access 'packages/node/native': No such file or directory
ls: cannot access 'packages/node/meshnet_node/native_protocol': No such file or directory]
Clean tree confirmed (only the pre-existing `.ralph-tui/config.toml` deletion). Now run exactly the 11 failing tests on this clean tree.
[Bash] Reproduce failing tests on clean tree $ cd $ROOT/.claude/worktrees/distributed-gguf-runtime timeout 600 $ROOT/.venv/bin/python -m pytest -q ...
Confirmed: all 11 failures reproduce identically on a clean tree without my changes — they are pre-existing on this branch and unrelated to DGR-002. Let me restore my files.
[Bash] Restore files and re-confirm my tests pass $ cd $ROOT/.claude/worktrees/distributed-gguf-runtime mv /tmp/dgr002_stash/native packages/node/native...
Files restored; my tests pass (11 passed, 1 skipped). Now the evidence and completion updates. Let me check the prd.json entry format and issue status line.
[Bash] Check prd.json and issue status format $ cd $ROOT/.claude/worktrees/distributed-gguf-runtime python3 -c " import json d=json.load(open('.scra...
Now let me write the evidence files. First the machine-readable results.
[Write] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-002/results.json "{
"task": "DGR-002",
"title": "Adopt the versioned gRPC Shard protocol",
"schema": {
"proto": "packages/node/native/proto/shard_runtime.proto",
"package": "meshnet.shard.v1",
"syntax... (3181 chars)"
[Write] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-002/commands.txt "# DGR-002 reproduction commands (run from repo root, project .venv = Python 3.14).
# 1. Generate Python stubs (reproducible; writes to gitignored build/ dir).
.venv/bin/python packages/node/native/sc... (2008 chars)"
Now the evidence README with the dependent-story handoff.
[Write] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-002/README.md "# DGR-002 — Versioned gRPC Shard protocol: evidence
Status: done
Date: 2026-07-15
Evidence kind: **synthetic-unit** (schema round-trip + cross-language protobuf
compatibility). No model download, no ... (10384 chars)"
Now update the issue status, prd.json passes, and progress.md.
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/issues/02-adopt-the-versioned-grpc-shard-protocol.md edit: "Status: ready-for-agent" → "Status: done"
Now set `passes: true` for DGR-002 only in the worktree prd.json.
[Bash] Set DGR-002 passes true in prd.json $ cd $ROOT/.claude/worktrees/distributed-gguf-runtime python3 - <<'EOF' import json, io p='.scratch/di...
Let me verify that prd.json edit only changed `passes` and didn't reformat the whole file.
[Bash] Inspect prd.json diff $ cd $ROOT/.claude/worktrees/distributed-gguf-runtime git diff .scratch/distributed-gguf-runtime/prd.j...
The `ensure_ascii=False` unescaped em-dashes across all stories — unwanted churn. Let me redump matching the original escaping so only the `passes` line changes.
[Bash] Re-apply minimal prd.json passes change $ cd $ROOT/.claude/worktrees/distributed-gguf-runtime # restore original then re-apply minimal change ...
Minimal diff now. Let me check the acceptance-criteria boxes in the issue file and append progress.md.
[Bash] Check acceptance criteria boxes in issue $ cd $ROOT/.claude/worktrees/distributed-gguf-runtime python3 - <<'EOF' p='.scratch/distributed-gguf-r...
Now append to progress.md, including the reusable pattern.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.ralph-tui/progress.md
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.ralph-tui/progress.md edit: "## Codebase Patterns (Study These First)
" → "## Codebase Patterns (Study These First)
### Gene..."
[Bash] Check end of progress.md $ tail -5 /run/media/popov/d/DEV/repos/d-popov.com/AI/.ralph-tui/progress.md
[Bash] Append DGR-002 progress entry $ `--proto_path="${DIR}"` passes literal quotes to protoc. --- EOF echo "appended"
Everything is in place. Let me do a final verification of git status and a clean targeted test run.
[Bash] Final git status and targeted test verification $ cd $ROOT/.claude/worktrees/distributed-gguf-runtime echo "=== git status (short) ===" git status --s...
All gates pass and the tree is clean. Task complete.
[TaskUpdate]
DGR-002 is complete. Here's what I delivered and verified.
## What was built
The versioned Protobuf/gRPC data-plane contract between Python and C++ Shards (ADR-0024), plus reproducible codegen/build wiring and round-trip + cross-language compatibility tests in both languages. It's purely additive — no existing runtime code was touched.
**New files:**
- `packages/node/native/proto/shard_runtime.proto` — package `meshnet.shard.v1`, proto3. Service `ShardRuntime` with `GetCapability`, `Health`, `ActivateSession` (one long-lived bidirectional stream per Activation Seam), `Release`, `Cancel`. `MessageHeader` carries every required identifier (schema version, work ID, Route Session ID, route epoch, artifact/recipe fingerprint, shard range + effective start, phase, position, idempotency step, cache expectation, compression, checksum). `TensorBundle`/`NamedTensor`/`TensorFragment` is the versioned named-tensor bundle with bounded fragments; `PrefillChunk` gives bounded chunking and `DecodeStep` the fast path; `FlowControl`, structured `Status`, and `SessionOpen.deadline_unix_nanos` cover flow control, errors, and relay-carried deadlines.
- `packages/node/meshnet_node/native_protocol/` — on-demand codegen loader + checksum/fragment helpers.
- `packages/node/native/` — `scripts/generate_python.py`, `generate_cpp.sh`, `CMakeLists.txt`, `tests/roundtrip_test.cpp`.
- `tests/test_native_shard_protocol.py` — 12 tests.
## Verification (real results)
- Targeted pytest: **11 passed, 1 skipped** in the default env (the C++ test skips cleanly when the toolchain is absent); **12 passed** with the toolchain.
- `compileall packages tests` exit 0; `git diff --check` clean.
- Full `pytest -q`: **704 passed, 14 skipped, 11 failed** — the 11 are pre-existing tracker/routing/benchmark/toploc failures unrelated to this story, which I reproduced identically on a clean tree with all DGR-002 files removed (`11 failed, 3 passed`).
- The C++ path was executed for real (a host protobuf 33.1 toolchain + `.venv` cmake): selftest `128 bytes`, ctest `1/1`, and the Python↔C++ cross-language driver passed in both directions.
## Notable findings (recorded in progress.md + evidence)
- The `.venv` installs the meshnet packages editable via a PEP 660 meta-path finder pointing at the **main** checkout, so standalone scripts must derive paths from `__file__` rather than `import meshnet_node`.
- Two real bugs I hit and fixed while testing: a non-reentrant `Lock` deadlock in the loader (now `RLock`), and protobuf 7.x's upb backend lacking `UnknownFields()` (the forward-compat test now asserts re-serialization behaviorally).
- `grpcio-tools`' bundled protoc has no C++ generator, and the default env lacks protoc/cmake/protobuf-dev — so the C++ test skips by default and DGR-004/DGR-008 should pin that toolchain. This is documented honestly as a limitation.
Evidence is at `.scratch/distributed-gguf-runtime/evidence/DGR-002/` (README, commands.txt, results.json). The issue is set to `Status: done`, `passes: true` for DGR-002 only, and the pre-existing `.ralph-tui/config.toml` deletion was preserved. No commits were created.
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# Iteration 2 Log
## Metadata
- **Task ID**: DGR-001
- **Task Title**: Lock the safetensors-versus-GGUF performance contract
- **Description**: MANDATORY FRESH-SESSION CONTEXT: Read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md` and `.scratch/distributed-gguf-runtime/issues/01-lock-the-safetensors-versus-gguf-performance-contract.md` co...
- **Status**: failed
- **Task Completed**: Yes
- **Promise Detected**: Yes
- **Started At**: 2026-07-15T13:55:01.898Z
- **Ended At**: 2026-07-15T13:57:30.156Z
- **Duration**: 2m 28s
- **Input Tokens**: 60
- **Output Tokens**: 10835
- **Total Tokens**: 10895
- **Agent**: claude
- **Model**: claude-opus-4-8
- **Sandbox Mode**: auto
- **Sandbox Network**: Enabled
--- RAW OUTPUT ---
I'll start by reading the mandatory context files before doing anything else.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/issues/01-lock-the-safetensors-versus-gguf-performance-contract.md
This is DGR-001. The recent commits ("compare safetensors and gguf", "deterministic CPU/GPU benchmark runner", "live benchmark") suggest work may already be substantially done. Let me check progress, prd.json, and existing evidence.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.ralph-tui/progress.md
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/prd.json
[Bash] $ echo "=== evidence dir ===" && ls -la .scratch/distributed-gguf-runtime/evidence/ 2>/dev/null && ech...
Substantial work exists. Let me examine the existing evidence and benchmark code to verify against acceptance criteria.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-001/README.md
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-001/performance-contract.json
Let me examine the implementation module and tests.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/performance_contract.py
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/tests/test_performance_contract.py
I now understand the state well. Let me check the working-tree diffs I must preserve, run the current tests, and check the full suite baseline.
[Bash] $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime echo "=== ...
[Bash] $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime echo "=== ...
Targeted tests pass and DGR-002's working-tree changes are isolated. Now I'll assess against the acceptance criteria. The contract is solid but has genuine gaps I should close before marking done:
1. **AC1** requires the same *prompts, context lengths, output lengths, sampling policy* — these aren't encoded in the versioned contract, so "same across recipes" isn't locked.
2. **AC2** requires explicitly *separating correctness/quality lanes from performance/fit lanes* — currently only an implicit `output_drift`, no explicit quality policy stating BF16≠Q2_K.
3. **AC5** — the gate thresholds (`1.10` speedup, `0.5` artifact ratio) are hardcoded in code, not in the versioned JSON that DGR-014 must consume without changing thresholds.
I'll close these three. Let me strengthen the contract module.
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/performance_contract.py edit: "@dataclass(frozen=True)
class BenchmarkLane:
"..." → "@dataclass(frozen=True)
class BenchmarkLane:
"..."
You've hit your session limit · resets 9:10pm (Europe/Sofia)
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# Iteration 3 Log
## Metadata
- **Task ID**: DGR-003
- **Task Title**: Define exact Artifact and runtime recipe identity
- **Description**: MANDATORY FRESH-SESSION CONTEXT: Read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md` and `.scratch/distributed-gguf-runtime/issues/03-define-exact-artifact-and-runtime-recipe-identity.md` comple...
- **Status**: failed
- **Task Completed**: No
- **Promise Detected**: No
- **Started At**: 2026-07-15T13:57:31.164Z
- **Ended At**: 2026-07-15T13:57:32.873Z
- **Duration**: 1s
- **Input Tokens**: 0
- **Output Tokens**: 0
- **Total Tokens**: 0
- **Agent**: claude
- **Model**: claude-opus-4-8
- **Sandbox Mode**: auto
- **Sandbox Network**: Enabled
--- RAW OUTPUT ---
You've hit your session limit · resets 9:10pm (Europe/Sofia)
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# Iteration 1 Log
## Metadata
- **Task ID**: DGR-006
- **Task Title**: Implement architecture-defined boundary input/output
- **Description**: MANDATORY FRESH-SESSION CONTEXT: Read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md` and `.scratch/distributed-gguf-runtime/issues/06-implement-architecture-defined-boundary-input-output.md` com...
- **Status**: completed
- **Task Completed**: Yes
- **Promise Detected**: Yes
- **Started At**: 2026-07-15T18:13:12.621Z
- **Ended At**: 2026-07-15T18:35:21.242Z
- **Duration**: 22m 8s
- **Input Tokens**: 290
- **Output Tokens**: 53285
- **Total Tokens**: 53575
- **Agent**: claude
- **Model**: claude-opus-4-8
- **Sandbox Mode**: auto
- **Sandbox Network**: Enabled
--- RAW OUTPUT ---
I'll start by reading the mandatory context files before doing anything else.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/issues/06-implement-architecture-defined-boundary-input-output.md
Now let me read the dependency evidence and progress files.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-005/README.md
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-002/README.md
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.ralph-tui/progress.md
Progress log is empty. Let me verify prd.json dependency `passes` state and inspect key source files.
[Bash] $ print(json.dumps(d, indent=1)[:2000])"
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/gguf_ownership.py
Let me check the prd.json format and inspect the model_backend and torch_server.
[Bash] $ python3 -c " import json d=json.load(open('.scratch/distributed-gguf-runtime/prd.json')) print('keys...
[Bash] $ python3 -c " import json d=json.load(open('.scratch/distributed-gguf-runtime/prd.json')) for t in d[...
DGR-005 shows `passes=False` in prd.json but its evidence README says "done" and `gguf_ownership.py` exists and is complete. This is a ralph-loop flag lag, not a defect — the artifacts are present and verified. Let me inspect the backend execution seam.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/model_backend.py
Now let me look at how existing tests build synthetic models, the native_protocol package, and torch_server reference.
[Bash] $ print('transformers', transformers.__version__)" 2>&1 | head -3
torch/transformers are absent in the default venv, so the parity test must be pure-numpy/Python. Let me check numpy and review the native_protocol loader and existing test style.
[Bash] $ print('numpy', numpy.__version__)" 2>&1 | head -3 echo "=== native_protocol __init__ head ===" sed -...
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/tests/test_gguf_ownership.py
Let me look at runtime_recipe.py and how certification/architecture admission works currently.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/runtime_recipe.py
torch/transformers aren't installed; numpy 2.4.3 is. So the parity harness must be a pure-numpy deterministic dense-Llama reference. Let me confirm no existing boundary module and check the conftest/path setup and DGR-004 evidence existence.
[Bash] $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime echo "=== ...
[Bash] $ print(meshnet_node.__file__)"
[Error: Exit code 1
=== conftest full ===
13: meshnet_node.hardware and are not affected by this patch.
16: import meshnet_node.startup as startup_mod
=== architecture_adapter in capability.py ===
544: architecture_adapter: str | None = None,
603: architecture_adapter=architecture_adapter,
=== how tests import meshnet_node (sanity) ===
Traceback (most recent call last):
File "<string>", line 1, in <module>
ModuleNotFoundError: No module named 'meshnet_node']
[Bash] $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime echo "=== ...
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/conftest.py
I have a complete picture. Now I'll write the boundary adapter module.
[Write] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/boundary_adapter.py """"Architecture-defined boundary input/output for distributed Shards (DGR-006).
A public-network Shard is a contiguous range of transformer layers (RALPH runtime
decision #1). For disjoint processes ... (19311 chars)"
Now the parity test with a pure-numpy dense-Llama reference model.
[Write] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/tests/test_boundary_adapter.py """"Architecture-defined boundary input/output and dense-Llama parity (DGR-006).
These tests prove the boundary contract with a *pure-numpy* dense-Llama reference
model: no download, no GPU, no torch,... (20130 chars)"
[Bash] $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime python -m ...
All 22 pass. Now the quality gates.
[Bash] $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime echo "=== ...
The native_shard_protocol errors are the pre-existing protobuf runtime/gencode mismatch documented in DGR-005/DGR-002 evidence, unrelated to my change. Let me confirm and run the full deterministic suite.
[Bash] $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime python -m ...
Confirmed — pre-existing protobuf runtime version mismatch, independent of my change. Now the full deterministic suite to record the baseline.
[Bash] $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime python -m ...
While the full suite runs, let me verify the boundary_adapter module imports cleanly standalone and check the exact new files for this story.
[Bash] $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime git status...
[Read] /tmp/claude-1000/-run-media-popov-d-DEV-repos-d-popov-com-AI--claude-worktrees-distributed-gguf-runtime/0ebd26c2-8500-430d-87c2-de77893f91fb/tasks/bv42fdriz.output
Still running. Let me wait for it to complete.
[Bash] $ then break fi sleep 5 done tail -6 /tmp/claude-1000/-run-media-popov-d-DEV-repos-d-popov-com...
Full suite: 715 passed (includes my 22), 20 failed + 12 errors. Let me list the failures and confirm they're pre-existing by reproducing with my files removed.
[Bash] $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime grep -E "^...
[Bash] $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime echo "=== ...
The pipe `| tail -8` discarded the failure list. Let me re-run capturing the full failure summary (my two files are purely additive — nothing imports them — so they cannot affect other tests, but I'll record the exact set).
[Bash] $ tail -3 /tmp/dgr006_full.txt
While the suite runs, let me draft the evidence README (I'll fill the failure list after).
[Bash] $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime ls -la .sc...
[Bash] $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime mkdir -p ....
[Bash] $ fi sleep 5 done echo "=== summary line ===" grep -E "passed|failed|error" /tmp/dgr006_full.txt | t...
[Bash] $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime grep -qE "...
Still running. Let me wait for the notification via a Monitor-style poll.
[Bash] $ grep -E "^ERROR" /tmp/dgr006_full.txt
None of the 20 failures / 12 errors are in `test_boundary_adapter.py` — all are in unrelated modules. Now the clean-tree reproduction: move my two files aside and confirm the failure set is identical.
[Bash] $ echo "exit=$?" grep -E "passed|failed|error" /tmp/dgr006_cleantree.txt | tail -1
Let me wait for the clean-tree run and compare failure sets.
[Bash] $ ls -la packages/node/meshnet_node/boundary_adapter.py tests/test_boundary_adapter.py
[Bash] $ cat /tmp/claude-1000/-run-media-popov-d-DEV-repos-d-popov-com-AI--claude-worktrees-distributed-gguf-...
[Bash] $ fi ls -la packages/node/meshnet_node/boundary_adapter.py tests/test_boundary_adapter.py 2>&1 | head
The clean-tree run is still going (my files are safely in /tmp, to be restored by the wrapper). While it runs, let me draft the progress log and evidence README.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.ralph-tui/progress.md
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.ralph-tui/progress.md edit: "## Codebase Patterns (Study These First)
*Add reu..." → "## Codebase Patterns (Study These First)
- **torc..."
[Bash] $ fi
Let me append the DGR-006 progress entry while waiting.
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.ralph-tui/progress.md edit: "*Add reusable patterns discovered during developme..." → "*Add reusable patterns discovered during developme..."
[Error: <tool_use_error>String to replace not found in file.
String: *Add reusable patterns discovered during development here.*</tool_use_error>]
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.ralph-tui/progress.md
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.ralph-tui/progress.md edit: "- **Pre-existing full-suite failures on this branc..." → "- **Pre-existing full-suite failures on this branc..."
[Bash] $ fi
Clean-tree reproduction confirms identical failure/error set (693 vs 715 = exactly my 22 tests, no other change). Let me verify my files are restored and finalize.
[Bash] $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime ls package...
All gates pass and files are restored. Now let me write the evidence README and machine-readable evidence.
[Write] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-006/README.md "# DGR-006 — Architecture-defined boundary input/output: evidence
Status: done
Date: 2026-07-15
Evidence kind: **synthetic-unit** (pure-numpy dense-Llama reference + boundary
contract). No model downl... (11215 chars)"
Now the machine-readable evidence files.
[Write] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-006/commands.txt "# DGR-006 exact commands (run from repo worktree root)
# Targeted boundary-adapter tests
python -m pytest -q tests/test_boundary_adapter.py
# -> 22 passed in 0.26s
# Python compile check for changed... (985 chars)"
[Bash] $ PY
Now update the source issue to `Status: done`.
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/issues/06-implement-architecture-defined-boundary-input-output.md edit: "# 06 — Implement architecture-defined boundary inp..." → "# 06 — Implement architecture-defined boundary inp..."
Let me verify the final working-tree state — my story files plus preserved pre-existing changes.
[Bash] $ print('OK', b.BOUNDARY_SCHEMA_VERSION, sorted({v.adapter for v in b._CERTIFIED_ARCHITECTURES.values(...
All acceptance criteria are met. Summary of what I did for **DGR-006 — Architecture-defined boundary input/output**:
## Implementation
**`packages/node/meshnet_node/boundary_adapter.py`** (new) — the boundary contract:
- **Fail-closed certification** — `certified_architecture()` maps only dense-Llama spellings (`dense-llama`/`llama`/`LlamaForCausalLM`/...) to an adapter; everything else (Qwen3, Mixtral, gpt2, empty/None) raises `UncertifiedArchitectureError`.
- **`BoundaryAdapter`** drives a duck-typed `ShardComputation` and enforces per-role rules: head embeds token IDs (refuses a bundle); middle/tail bypass embedding (refuse token IDs); non-tail emits the **unnormalized** residual with all position rows (no final norm, no LM head, no pruning); tail normalizes → LM head → prunes to last row → samples via an explicit `SamplingContract` (greedy).
- **`BoundaryBundle`** — versioned named-tensor bundle carrying the residual + positions + seam `next_layer`, with `pack()`/`unpack()` for disjoint-process round-trip and `named_tensor_fields()` mapping onto the DGR-002 `NamedTensor` shape.
**`tests/test_boundary_adapter.py`** (new) — a pure-numpy dense-Llama reference (RMSNorm + RoPE + SwiGLU) satisfying the same protocol; 22 tests proving whole-model vs **two-range and three-range** prefill + greedy-decode parity (identical greedy tokens, logits `atol=1e-6`), plus every contract/fail-closed path.
## Verification (real results)
- Targeted: **22 passed**
- `compileall`: exit 0 · `git diff --check`: clean
- Full suite: `20 failed, 715 passed, 13 skipped, 12 errors` — **clean-tree reproduction** (files moved aside) gives `693 passed` with a **byte-identical** failure/error set, proving DGR-006 introduced zero failures. The pre-existing failures (protobuf gencode mismatch + tracker/routing/optional-dep) are recorded in `results.json`.
torch/transformers aren't installed in the default venv, so the numpy reference is the only deterministic, GPU-free, download-free way to prove parity — the identical protocol will be satisfied by the C++ worker (DGR-008). Native C++ / llama.cpp patch gates are N/A (no native code touched), documented in evidence.
Evidence written to `.scratch/distributed-gguf-runtime/evidence/DGR-006/` (README + commands.txt + results.json); progress log and issue `Status: done` updated. Pre-existing working-tree changes preserved; no commits created.
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# Iteration 2 Log
## Metadata
- **Task ID**: DGR-007
- **Task Title**: Add isolated concurrent local Hot KV State
- **Description**: MANDATORY FRESH-SESSION CONTEXT: Read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md` and `.scratch/distributed-gguf-runtime/issues/07-add-isolated-concurrent-local-hot-kv-state.md` completely be...
- **Status**: completed
- **Task Completed**: Yes
- **Promise Detected**: Yes
- **Started At**: 2026-07-15T18:35:22.255Z
- **Ended At**: 2026-07-15T19:03:13.254Z
- **Duration**: 27m 50s
- **Input Tokens**: 277
- **Output Tokens**: 80139
- **Total Tokens**: 80416
- **Agent**: claude
- **Model**: claude-opus-4-8
- **Sandbox Mode**: auto
- **Sandbox Network**: Enabled
--- RAW OUTPUT ---
I'll start by reading the mandatory context files before touching any code.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/issues/07-add-isolated-concurrent-local-hot-kv-state.md
Now let me read the dependency evidence (DGR-006) and progress/context files.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-006/README.md
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.ralph-tui/progress.md
Let me examine the key existing modules I'll build on.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/boundary_adapter.py
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/runtime_recipe.py
Now let me look at the gguf_ownership module (DGR-005) since KV must be allocated only for owned layers.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/gguf_ownership.py
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/tests/test_boundary_adapter.py
Let me check for any existing KV-related code and the test conventions.
[Bash] $ ls packages/node
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/tests/test_gguf_ownership.py
There's an existing `tests/test_kv_cache_distributed.py`. Let me inspect it and check the DGR-007 evidence dir state.
[Bash] $ [print(json.dumps(t,indent=1)) for t in d.get('tasks',d if isinstance(d,list) else []) if isinstance...
Let me examine the existing `SessionCacheStore` in model_backend.py and the prd structure.
[Bash] $ print(list(d.keys()) if isinstance(d,dict) else len(d))"
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/model_backend.py
I have a thorough understanding now. Let me set up the todo list and check the DGR-005 evidence briefly, then write the module.
[Bash] $ print(numpy.__version__)" 2>&1
[Error: Exit code 127
# DGR-005 — dense-Llama range-aware GGUF ownership evidence
Status: done
Date: 2026-07-15
Evidence kind: **synthetic-unit + repo checks**. No model download, no GPU, no network, no API credits.
## Summary
Implemented range-aware dense-Llama ownership so the node reports and admits only the tensors it actually loads:
- `blk.N.*` tensors are selected strictly by assigned layer range.
- Embeddings are owned at the head only, while final norm / LM head are owned at the tail only, including tied embeddings.
- Derivative sub-GGUF slices must carry source and slice hashes and cannot claim final artifact semantics.
- The authoritative loaded range and endpoint ownership now come from backend proof state, not CLI shard claims.
- Registration, capability reports, admission fingerprints, and tracker state now carry the backend-derived ownership proof.
The result is a shard model that can reason about memory and admission from owned tensors instead of pretending the full model was loaded.
## Files changed
- `packages/node/meshnet_node/gguf_ownership.py` - dense-Llama tensor selection and authoritative ownership helpers.
- `packages/node/meshnet_node/capability.py` - shard reports now carry endpoint ownership and parse it round-trip.
- `packages/node/meshnet_node/doctor.py` - capability reports now use backend-derived loaded range and endpoint ownership.
- `packages/node/meshnet_node/testing.py` - test capability reports now mirror the authoritative ownership path.
- `packages/node/meshnet_node/admission.py` - admission compatibility fingerprints now include authoritative range/ownership context.
- `packages/node/meshnet_node/model_backend.py` - loaded-range and endpoint-ownership properties on `TorchModelShard`.
- `packages/node/meshnet_node/startup.py` - registration payloads now use the proof-driven shard range.
- `packages/tracker/meshnet_tracker/capability.py` - tracker capability state preserves endpoint ownership.
- `tests/test_gguf_ownership.py` - dense-Llama ownership selection, derivative-slice guard, and memory-scaling tests.
- `tests/test_node_capability.py` - capability report ownership round-trip tests.
=== python ver ===
/bin/bash: line 1: .venv/bin/python: No such file or directory
Python 3.11.15
=== numpy ===
/bin/bash: line 1: .venv/bin/python: No such file or directory]
[Bash] $ sed -n '1,40p' conftest.py
[Bash] $ /run/media/popov/d/DEV/repos/d-popov.com/AI/.venv/bin/python --version 2>&1
[Bash] $ $VP -m pytest -q tests/test_boundary_adapter.py 2>&1 | tail -5
Harness confirmed. Now let me write the production module.
[Write] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/hot_kv_state.py """"Isolated concurrent local Hot KV State for distributed Shards (DGR-007).
Hot KV State stays local to the node serving a Shard (RALPH runtime decision #7).
A concurrent server must map each ``(Rout... (35714 chars)"
Now the test module. Let me write a KV-cached dense-Llama reference and comprehensive tests.
[Write] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/tests/test_hot_kv_state.py """"Isolated concurrent local Hot KV State (DGR-007).
These tests prove the KV/session manager with a *pure-numpy* KV-cached dense-Llama
reference: no download, no GPU, no torch, no API credit. The re... (29450 chars)"
Now let me run the tests.
[Bash] $ $VP -m pytest -q tests/test_hot_kv_state.py 2>&1 | tail -40
All 22 pass. Let me run the quality gates.
[Bash] $ $VP -m pytest -q tests/test_boundary_adapter.py tests/test_gguf_ownership.py 2>&1 | tail -3
All gates green so far. Now the full deterministic suite to confirm my additions don't perturb the pre-existing failure set.
[Bash] $ $VP -m pytest -q -rfE 2>&1 | tail -45
[Error: Exit code 143
Command timed out after 2m 0s]
The full suite needs more than 2 min. Let me run it in the background and capture to a file.
[Bash] $ tail -3 /tmp/dgr007_full.log
While that runs, let me record the targeted test command output for evidence and write the evidence README.
[Bash] $ $VP -m pytest -q tests/test_hot_kv_state.py 2>&1 | tail -2
[Bash] $ $VP -m pytest tests/test_hot_kv_state.py --collect-only -q 2>&1 | head -25
Let me check on the full-suite run.
[Bash] $ ls -la /tmp/dgr007_full.log
[Error: <tool_use_error>Blocked: sleep 90 followed by: tail -5 /tmp/dgr007_full.log echo "---running?---" ls -la /tmp/dgr007_full.log. To wait for a condition, use Monitor with an until-loop (e.g. `until <check>; do sleep 2; done`). To wait for a command you started, use run_in_background: true. Do not chain shorter sleeps to work around this block.</tool_use_error>]
[Read] /tmp/dgr007_full.log
It's at 9%; it'll take a few more minutes. I'll draft the evidence files now and fill in the full-suite numbers when the run finishes. Let me write the commands and README.
[Write] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-007/commands.txt "# DGR-007 — exact commands (run from the worktree root).
# Python: /run/media/popov/d/DEV/repos/d-popov.com/AI/.venv (Python 3.14.6, numpy 2.4.4).
# Root conftest.py adds packages/* to sys.path, so `m... (1182 chars)"
[Read] /tmp/dgr007_full.log
[Write] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-007/README.md "# DGR-007 — Isolated concurrent local Hot KV State: evidence
Status: done
Date: 2026-07-15
Evidence kind: **synthetic-unit** (pure-numpy KV-cached dense-Llama reference +
session/KV manager). No mode... (12056 chars)"
[Read] /tmp/dgr007_full.log
While the full suite runs, let me update `progress.md`.
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.ralph-tui/progress.md edit: "- **Pre-existing full-suite failures on this branc..." → "- **Pre-existing full-suite failures on this branc..."
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.ralph-tui/progress.md edit: "- Evidence: `.scratch/distributed-gguf-runtime/evi..." → "- Evidence: `.scratch/distributed-gguf-runtime/evi..."
[Read] /tmp/dgr007_full.log
[Bash] $ tail -3 /tmp/dgr007_full.log
Full suite finished: `13 failed, 755 passed, 14 skipped` (note: the error set differs from the DGR-006-era baseline — environment appears to have changed). I must verify my changes introduce **no new failures**. Let me capture the failing set, then run the clean-tree reproduction.
[Bash] $ echo "count: $(wc -l < /tmp/dgr007_fails.txt)"
All 13 failures are pre-existing tracker/routing/benchmark/toploc/doctor tests — none touch KV work, and my 22 tests are in the passed count. Now the required clean-tree reproduction (move my two files aside, expect the identical 13 failures and passed count 22).
[Bash] $ tail -2 /tmp/dgr007_clean.log
[Bash] $ diff /tmp/dgr007_fails.txt /tmp/dgr007_clean_fails.txt && echo "IDENTICAL FAILURE SET"
The clean-tree run finished. Let me get my comparison loop's result.
[Bash] $ ls packages/node/meshnet_node/hot_kv_state.py tests/test_hot_kv_state.py
Identical failure set; passed count differs by exactly 22 (my tests). Files restored. Let me confirm the restore is intact and update the evidence README with the real numbers.
[Bash] $ git status --short | grep -E "hot_kv_state|test_hot_kv_state|evidence/DGR-007|progress.md"
Now let me update the README placeholders with the real full-suite numbers.
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-007/README.md edit: "- **Full deterministic pytest** — `PLACEHOLDER_FUL..." → "- **Full deterministic pytest** — `13 failed, 755 ..."
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-007/README.md edit: "$VP -m pytest -q -rfE
# -> PLACEHOLDER_FULL
# Cle..." → "$VP -m pytest -q -rfE
# -> 13 failed, 755 passed, ..."
Let me correct the pre-existing-failures section in the README to match the actual observed set (no protobuf errors in this run; 13 failures).
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-007/README.md edit: "`pytest -q` on `ralph/distributed-gguf-runtime` re..." → "`pytest -q -rfE` on `ralph/distributed-gguf-runtim..."
Now let me save a machine-readable results.json and mark the issue done.
[Write] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-007/results.json "{
"task_id": "DGR-007",
"title": "Add isolated concurrent local Hot KV State",
"status": "done",
"date": "2026-07-15",
"evidence_kind": "synthetic-unit",
"python": "/run/media/popov/d/DEV/... (2776 chars)"
Now update the source issue status to done.
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/issues/07-add-isolated-concurrent-local-hot-kv-state.md edit: "# 07 — Add isolated concurrent local Hot KV State
..." → "# 07 — Add isolated concurrent local Hot KV State
..."
Let me verify the DGR-006 issue convention for checkboxes and confirm final working-tree state is scoped correctly.
[Bash] $ import re for s in d['userStories']: if s.get('id') in ('DGR-006','DGR-007'): print(s.get('id'), '...
Matches the DGR-006 precedent (Status: done, checkboxes left, `passes` managed by the harness — I leave prd.json untouched). Final verification of scope:
[Bash] $ git status --short | grep -vE "hot_kv|DGR-007|07-add-isolated|progress.md" | head -40
`.ralph-tui/progress.md` didn't appear in the status output — let me confirm my progress.md edit persisted (it may be gitignored, which is fine — RALPH excludes `.ralph-tui`).
[Bash] $ ls -1 .scratch/distributed-gguf-runtime/evidence/DGR-007/
All quality gates pass and the work is complete. Summary of DGR-007:
## DGR-007 — Isolated concurrent local Hot KV State ✅
**New files (purely additive):**
- `packages/node/meshnet_node/hot_kv_state.py` — the KV/session manager
- `tests/test_hot_kv_state.py` — 22 tests + a pure-numpy KV-cached dense-Llama reference
**What it delivers:**
- **`HotKvStateManager`** maps `(session_id, route_epoch)` → an isolated `SessionCache`, allocating `LayerKvCache` **only for owned layers**. It owns all cache mutation so eviction/accounting/isolation live in one place.
- Full lifecycle: `open`/`append` (prefill + decode), `truncate`, `release`, plus **TTL + LRU (session-cap and byte-budget) eviction** and an explicit, serializable `CacheMiss` (unknown / evicted-ttl / evicted-lru / released / superseded-epoch / seq-len-mismatch) so the head re-prefills from token zero instead of corrupting output.
- **Fails closed on identity:** stale route epochs → `StaleRouteEpochError`; mismatched KV recipe → `IncompatibleCacheRecipeError`; uncertified architecture → fails closed at recipe construction (reuses the DGR-006 gate).
- **`KvBoundaryAdapter`** wraps the DGR-006 `ShardComputation` (+`run_layers_cached`) to run cached prefill/decode through the manager while honouring the boundary contract.
**Correctness proof:** a KV-cached numpy dense-Llama (absolute-position causal mask over cached keys, post-RoPE key storage) reproduces stateless whole-model greedy tokens **bit-for-bit**, single-range and across a head/tail seam. Four sessions (interleaved round-robin **and** four real OS threads) decode with no cross-talk; releasing one returns memory to budget and leaves the others matching their references.
**Gates (real results):**
- Targeted: `22 passed`
- `compileall packages tests`: exit 0 · `git diff --check`: exit 0
- Full suite with files: `13 failed, 755 passed, 14 skipped`; clean-tree repro (files moved aside): `13 failed, 733 passed` — **identical FAILED set, passed 22**, so no new failures. All 13 are pre-existing tracker/routing/benchmark/toploc/doctor env failures, none touch KV. (No native C++/llama.cpp code touched — those gates are N/A, wired in DGR-008.)
**Evidence:** `.scratch/distributed-gguf-runtime/evidence/DGR-007/{README.md,commands.txt,results.json}`; issue set to `Status: done`; `progress.md` updated. Pre-existing working-tree changes preserved; no commits created (left for manual review).
<promise>COMPLETE</promise>

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# Iteration 3 Log
## Metadata
- **Task ID**: DGR-008
- **Task Title**: Build the standalone C++ gRPC Shard worker
- **Description**: MANDATORY FRESH-SESSION CONTEXT: Read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md` and `.scratch/distributed-gguf-runtime/issues/08-build-the-standalone-c-grpc-shard-worker.md` completely befo...
- **Status**: failed
- **Task Completed**: Yes
- **Promise Detected**: Yes
- **Started At**: 2026-07-15T19:03:14.263Z
- **Ended At**: 2026-07-15T19:05:38.041Z
- **Duration**: 2m 23s
- **Input Tokens**: 78
- **Output Tokens**: 9577
- **Total Tokens**: 9655
- **Agent**: claude
- **Model**: claude-opus-4-8
- **Sandbox Mode**: auto
- **Sandbox Network**: Enabled
--- RAW OUTPUT ---
I'll start by reading the mandatory context files before touching any code.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/issues/08-build-the-standalone-c-grpc-shard-worker.md
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.ralph-tui/progress.md
Now let me read the dependency evidence and inspect the existing native code structure.
[Bash] $ echo "=== evidence dirs ===" && ls -la .scratch/distributed-gguf-runtime/evidence/ && echo "=== nati...
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/prd.json
Let me check the actual contents of the dependency evidence directories.
[Bash] $ done
All evidence exists. Let me read the dependency READMEs and key source files.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-002/README.md
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-003/README.md
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-004/README.md
Let me read the remaining evidence and the core source files I'll need to build against.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-006/README.md
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-007/README.md
Now let me examine the proto schema, the loader, and check the Python/gRPC environment.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/native/proto/shard_runtime.proto
[Bash] $ which cmake protoc grpc_cpp_plugin g++ 2>&1
[Error: Exit code 3
=== python ===
Python 3.14.6
=== grpc ===
grpc 1.82.1
=== grpc_tools ===
grpc_tools ok
=== protobuf ===
protobuf 7.35.1
=== numpy ===
numpy 2.4.4
=== cmake ===
/usr/bin/which: no cmake in (/home/popov/.bun/bin:/home/popov/.local/bin:/home/popov/.bun/bin:/home/linuxbrew/.linuxbrew/bin:/home/linuxbrew/.linuxbrew/sbin:/run/media/popov/d/DEV/repos/d-popov.com/gogo2:/home/popov/.npm-global/bin:/home/popov/.opencode/bin:/home/popov/.local/bin:/home/popov/bin:/home/popov/.hermes/hermes-agent/venv/bin:/home/popov/.hermes/hermes-agent/node_modules/.bin:/usr/bin:/home/popov/.local/bin:/home/popov/.npm-global/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/home/popov/.dotnet/tools:/var/lib/snapd/snap/bin:/home/popov/.lmstudio/bin:/home/popov/.lmstudio/bin)
/usr/bin/which: no protoc in (/home/popov/.bun/bin:/home/popov/.local/bin:/home/popov/.bun/bin:/home/linuxbrew/.linuxbrew/bin:/home/linuxbrew/.linuxbrew/sbin:/run/media/popov/d/DEV/repos/d-popov.com/gogo2:/home/popov/.npm-global/bin:/home/popov/.opencode/bin:/home/popov/.local/bin:/home/popov/bin:/home/popov/.hermes/hermes-agent/venv/bin:/home/popov/.hermes/hermes-agent/node_modules/.bin:/usr/bin:/home/popov/.local/bin:/home/popov/.npm-global/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/home/popov/.dotnet/tools:/var/lib/snapd/snap/bin:/home/popov/.lmstudio/bin:/home/popov/.lmstudio/bin)
/usr/bin/which: no grpc_cpp_plugin in (/home/popov/.bun/bin:/home/popov/.local/bin:/home/popov/.bun/bin:/home/linuxbrew/.linuxbrew/bin:/home/linuxbrew/.linuxbrew/sbin:/run/media/popov/d/DEV/repos/d-popov.com/gogo2:/home/popov/.npm-global/bin:/home/popov/.opencode/bin:/home/popov/.local/bin:/home/popov/bin:/home/popov/.hermes/hermes-agent/venv/bin:/home/popov/.hermes/hermes-agent/node_modules/.bin:/usr/bin:/home/popov/.local/bin:/home/popov/.npm-global/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/home/popov/.dotnet/tools:/var/lib/snapd/snap/bin:/home/popov/.lmstudio/bin:/home/popov/.lmstudio/bin)
/usr/bin/g++]
Environment: gRPC + grpc_tools + protobuf + numpy available in Python 3.14; but no cmake/protoc/grpc_cpp_plugin/libprotobuf (only g++). This shapes the architecture. Let me read the loader, the contract modules, and the native scaffold.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/native_protocol/__init__.py
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/boundary_adapter.py
Now let me read the KV manager, recipe identity, and gguf ownership modules.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/hot_kv_state.py
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/runtime_recipe.py
You've hit your session limit · resets 2:10am (Europe/Sofia)
[Error: rate_limit]

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# Iteration 1 Log
## Metadata
- **Task ID**: DGR-012
- **Task Title**: Implement continuous batching and bounded admission
- **Description**: MANDATORY FRESH-SESSION CONTEXT: Read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md` and `.scratch/distributed-gguf-runtime/issues/12-implement-continuous-batching-and-bounded-admission.md` comp...
- **Status**: completed
- **Task Completed**: Yes
- **Promise Detected**: Yes
- **Started At**: 2026-07-15T23:48:43.533Z
- **Ended At**: 2026-07-16T00:05:08.454Z
- **Duration**: 16m 24s
- **Input Tokens**: 247
- **Output Tokens**: 57878
- **Total Tokens**: 58125
- **Agent**: claude
- **Model**: claude-opus-4-8
- **Sandbox Mode**: auto
- **Sandbox Network**: Enabled
--- RAW OUTPUT ---
I'll start by reading the required context files before touching any code.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/issues/12-implement-continuous-batching-and-bounded-admission.md
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.ralph-tui/progress.md
Progress log is empty. Let me read the dependency evidence and prd.json.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-007/README.md
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-009/README.md
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-010/README.md
[Error: File does not exist. Note: your current working directory is /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime.]
DGR-010 evidence is missing. Let me check prd.json and the evidence directory.
[Bash] $ print(json.dumps(list(d.keys())))"
[Bash] $ git status --short && echo "---branch---" && git branch --show-current
[Bash] $ print(list(d.keys()) if isinstance(d,dict) else len(d))"
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-010/BLOCKED.md
[Bash] $ python3 -c " import json d=json.load(open('.scratch/distributed-gguf-runtime/prd.json')) for s in d[...
The prd.json shows all `passes: False` but DGR-007 and DGR-009 have "done" evidence READMEs; DGR-010 is BLOCKED (no real dense-Llama artifact — a hardware/artifact issue, not code). DGR-012's criteria are satisfiable at the Python synthetic-unit level, matching the DGR-007 pattern. Let me inspect the existing seams I'll build on.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/hot_kv_state.py
Let me examine the boundary adapter, the test reference (numpy dense-Llama), and the capability/benchmark infrastructure.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/tests/test_hot_kv_state.py
Now let me look at the capability telemetry and benchmark infrastructure.
[Bash] $ ls packages/node/meshnet_node/ | head -50
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/capability.py
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/seam_telemetry.py
Let me examine the existing benchmark module for style and check how tests are structured for benchmarks.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/route_session_benchmark.py
I have enough context. Let me verify the venv and run the existing DGR-007 tests as a baseline sanity check.
[Bash] $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime ls -d /run...
[Bash] $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime VP=/run/me...
Dependencies verified. Now I'll build the continuous batching scheduler. Let me create the module.
[Write] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/batch_scheduler.py """"Continuous batching and bounded admission for concurrent Route Sessions (DGR-012).
RALPH runtime decision #9: concurrency on a node uses *continuous batching of
compatible active sessions* — not a... (38123 chars)"
Now let me check how tests import each other and whether the tests dir is importable.
[Bash] $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime grep -n "r...
[Bash] $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime sed -n '10...
[Bash] $ print(t._KvDenseLlama, t._KvReferenceShard)"
[Error: Exit code 1
Traceback (most recent call last):
File "<string>", line 1, in <module>
import sys; sys.path.insert(0,'tests'); import test_hot_kv_state as t; print(t._KvDenseLlama, t._KvReferenceShard)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/tests/test_hot_kv_state.py", line 21, in <module>
from meshnet_node.boundary_adapter import BoundaryBundle, TailOutput
ModuleNotFoundError: No module named 'meshnet_node.boundary_adapter']
[Bash] $ print(meshnet_node.__file__)" cat conftest.py | grep -n "path\|sys\."
The package resolves to the main repo via install, but the worktree conftest prepends worktree dirs under pytest. Let me confirm my worktree module is picked up under pytest.
[Bash] $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime cat confte...
Confirmed: worktree modules win under pytest. Now the test file, reusing the DGR-007 numpy reference.
[Write] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/tests/test_batch_scheduler.py """"Continuous batching and bounded admission (DGR-012).
These tests drive the node-local continuous-batching scheduler with the *same*
pure-numpy KV-cached dense-Llama reference the Hot KV State mana... (19315 chars)"
[Bash] $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime VP=/run/me...
All 16 tests pass on the first run. Let me verify the sweep values are as documented and check the `run_to_completion` bound edge case behaves, then run the quality gates.
[Bash] $ sys.path.insert(0,'tests') from test_hot_kv_state import _KvDenseLlama, _KvReferenceShard from meshn...
Clean saturation curve, deterministic, no corruption. Now let me run the quality gates and generate machine-readable evidence.
[Bash] $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime VP=/run/me...
Now let me generate the deterministic sweep evidence JSON via a small reproducible script.
[Write] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-012/generate_evidence.py """"Regenerate the DGR-012 concurrency-sweep evidence artifact.
Deterministic, download-free, GPU-free. Run from the repo root with the default
venv so the worktree ``meshnet_node`` package and the DG... (3611 chars)"
[Bash] $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime VP=/run/me...
Now the full deterministic suite to record the pre-existing-failure baseline (DGR-007 recorded 13 failures). Running it (~4 min).
[Bash] $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime VP=/run/me...
[Error: Exit code 143
Command timed out after 2m 0s]
[Bash] $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime VP=/run/me...
[Error: Exit code 143
Command timed out after 2m 0s]
Let me run the full suite in the background with an explicit longer timeout.
[Bash] $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime VP=/run/me...
While that runs, let me write commands.txt and the evidence README.
[Write] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-012/commands.txt "# DGR-012 — exact commands (run from the worktree root)
# Default venv (Python 3.14); deterministic, download-free, GPU-free, API-credit-free.
VP=/run/media/popov/d/DEV/repos/d-popov.com/AI/.venv/bin/... (861 chars)"
[Bash] $ tail -3 /tmp/claude-1000/-run-media-popov-d-DEV-repos-d-popov-com-AI--claude-worktrees-distributed-g...
[Error: <tool_use_error>Blocked: sleep 60 followed by: tail -3 /tmp/claude-1000/-run-media-popov-d-DEV-repos-d-popov-com-AI--claude-worktrees-distributed-gguf-runtime/345cc92e-c860-4928-b307-91c72393821a/tasks/bcf2fssgs.output echo "still running". To wait for a condition, use Monitor with an until-loop (e.g. `until <check>; do sleep 2; done`). To wait for a command you started, use run_in_background: true. Do not chain shorter sleeps to work around this block.</tool_use_error>]
I'll be notified when the suite completes. Meanwhile, let me update the progress log and draft the evidence README.
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.ralph-tui/progress.md edit: "## Codebase Patterns (Study These First)
*Add reu..." → "## Codebase Patterns (Study These First)
- **Back..."
[Bash] $ otherwise eviction would legitimately change outputs and muddy the corruption check. Eviction/ba...
The full suite is running (harness-tracked). Let me wait for it to finish using Monitor.
[ToolSearch] query: select:Monitor
[Monitor] full pytest suite completion $ grep -E "passed|failed|error|EXIT=" "$f" | tail -5
While the suite runs, I'll write the evidence README (I'll fill the full-suite line when the run reports).
[Write] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-012/README.md "# DGR-012 — Continuous batching and bounded admission: evidence
Status: done
Date: 2026-07-16
Evidence kind: **synthetic-unit** (pure-numpy KV-cached dense-Llama reference +
node-local continuous-bat... (12495 chars)"
Let me verify test determinism (run twice) while the full suite completes.
[Bash] $ done
Deterministic. Let me confirm the working-tree scope while the suite finishes.
[Bash] $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime git status...
Working tree is clean and scoped: only my three new paths plus the pre-existing `config.toml` deletion (untouched). Now waiting on the full suite monitor to report the baseline. I'll finalize the README and issue status once it completes.
[Read] /tmp/claude-1000/-run-media-popov-d-DEV-repos-d-popov-com-AI--claude-worktrees-distributed-gguf-runtime/345cc92e-c860-4928-b307-91c72393821a/tasks/bcf2fssgs.output
The full suite is still running; its output buffers until the end. I'll wait for the monitor to report the pass/fail summary, then finalize the two placeholders in the README and mark the issue done. Standing by for the completion event.

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# Iteration 2 Log
## Metadata
- **Task ID**: DGR-013
- **Task Title**: Harden failure, cancellation, and restart semantics
- **Description**: MANDATORY FRESH-SESSION CONTEXT: Read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md` and `.scratch/distributed-gguf-runtime/issues/13-harden-failure-cancellation-and-restart-semantics.md` comple...
- **Status**: completed
- **Task Completed**: Yes
- **Promise Detected**: Yes
- **Started At**: 2026-07-16T00:05:09.466Z
- **Ended At**: 2026-07-16T00:28:37.509Z
- **Duration**: 23m 28s
- **Input Tokens**: 301
- **Output Tokens**: 79662
- **Total Tokens**: 79963
- **Agent**: claude
- **Model**: claude-opus-4-8
- **Sandbox Mode**: auto
- **Sandbox Network**: Enabled
--- RAW OUTPUT ---
I'll start by reading the mandatory context files as instructed.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/issues/13-harden-failure-cancellation-and-restart-semantics.md
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.ralph-tui/progress.md
Now let me read the dependency evidence and inspect current code.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-012/README.md
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/batch_scheduler.py
Let me read the KV state module and the DGR-008/009 evidence.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/hot_kv_state.py
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-008/README.md
[Error: File does not exist. Note: your current working directory is /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime.]
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-009/README.md
Let me explore the existing structure for DGR-008 evidence, billing, and the native worker.
[Bash] $ ls .scratch/distributed-gguf-runtime/evidence/ && echo "---DGR-008---" && ls .scratch/distributed-gg...
[Error: Exit code 2
DGR-001
DGR-002
DGR-003
DGR-004
DGR-005
DGR-006
DGR-007
DGR-009
DGR-010
DGR-011
DGR-012
README.md
---DGR-008---]
[Bash] $ grep -rl "billing\|work_record\|WorkRecord\|attribution" packages/ --include=*.py | head -20
[Bash] $ print(list(d.keys()))"
[Bash] $ python3 -c " import json d=json.load(open('.scratch/distributed-gguf-runtime/prd.json')) for s in d[...
[Bash] $ find packages/node -name "*.py" | xargs grep -l "native" 2>/dev/null | head
All dependencies show `passes: False` in prd.json, but evidence and code exist for DGR-009/DGR-012 (Ralph doesn't set the flag). Let me read the billing module and the existing scheduler tests to align vocabulary.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/tracker/meshnet_tracker/billing.py
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/tests/test_batch_scheduler.py
Let me look at the reference test helpers and boundary adapter to understand malformed-bundle and stale-epoch surfaces.
[Bash] $ sed -n '1,140p' tests/test_hot_kv_state.py
[Bash] $ grep -n "stateless_greedy\|class _KvReferenceShard\|def run_layers_cached\|def embed_tokens\|def lm_...
[Bash] $ sed -n '183,260p' tests/test_hot_kv_state.py
I have a thorough understanding now. This is a substantial per-session failure/cancel/restart layer over the DGR-012 scheduler and DGR-007 KV manager, following the established deterministic-numpy pattern. Let me make a small additive extension to the scheduler (cancellation), then build the new `failure_semantics` module and its tests.
Let me set up task tracking and start implementing.
[Bash] $ grep -n "BoundaryContractError" packages/node/meshnet_node/boundary_adapter.py | head -3
Now let me extend the scheduler with cancellation support (additive, safe for DGR-012 tests).
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/batch_scheduler.py edit: "class DoneReason(str, Enum):
COMPLETED = "comp..." → "class DoneReason(str, Enum):
COMPLETED = "comp..."
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/batch_scheduler.py edit: " rejected_admissions_total: int
rejected_by..." → " rejected_admissions_total: int
rejected_by..."
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/batch_scheduler.py edit: " "rejected_admissions_total": self.reje..." → " "rejected_admissions_total": self.reje..."
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/batch_scheduler.py edit: " self._completed = 0
self._rejected..." → " self._completed = 0
self._cancelle..."
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/batch_scheduler.py edit: " rejected_admissions_total=self._re..." → " rejected_admissions_total=self._re..."
Now add the `cancel`/`fail` methods to the scheduler. Let me insert them after the `submit` method's admission section, near `run_tick`:
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/batch_scheduler.py edit: " # -- scheduling ------------------------------..." → " # -- cancellation / failure (DGR-013) --------..."
Let me fix the queued-cancel branch to use the real queued request instead of a fabricated one:
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/batch_scheduler.py edit: " # Queued but not yet running: drop it ..." → " # Queued but not yet running: drop it ..."
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/batch_scheduler.py edit: " def _finalize_cancelled_locked(
self,
..." → " def _finalize_cancelled_locked(
self,
..."
Let me verify the DGR-012 tests still pass with the scheduler changes:
[Bash] $ $VP -m pytest -q tests/test_batch_scheduler.py 2>&1 | tail -5
Now let me write the `failure_semantics` module.
[Write] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/failure_semantics.py """"Bounded failure, cancellation, and restart semantics for Shard streams (DGR-013).
Distributed speed must not come with hanging or corrupted generations. This module
hardens the per-Route-Session d... (34799 chars)"
Let me check the `BoundaryBundle` signature for the malformed-bundle test.
[Bash] $ grep -n "class BoundaryBundle\|next_layer\|normalized\|def __post_init__\|residual:\|positions:\|ten...
[Bash] $ sed -n '271,300p' packages/node/meshnet_node/boundary_adapter.py
[Bash] $ sed -n '320,345p' packages/node/meshnet_node/boundary_adapter.py
[Bash] $ sed -n '195,225p' packages/node/meshnet_node/boundary_adapter.py
Now let me write the test file.
[Write] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/tests/test_failure_semantics.py """"Bounded failure, cancellation, and restart semantics (DGR-013).
These tests drive the hardened per-session decode stream with the *same*
pure-numpy KV-cached dense-Llama reference the Hot KV State... (25336 chars)"
[Bash] $ $VP -m pytest -q tests/test_failure_semantics.py 2>&1 | tail -40
Two test-expectation/design mismatches to reconcile. The cancellation ordering should let a cancel injected in `before_step` stop that same step, and STREAM_RESET detected at a step boundary is a *certain* failure (nothing committed) — only a genuinely mid-mutation worker death is UNVERIFIED. Let me fix the module ordering and the uncertainty set.
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/failure_semantics.py edit: "# Failure kinds whose mutation outcome is *uncerta..." → "# Failure kinds whose mutation outcome is *uncerta..."
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/failure_semantics.py edit: " for step_index in range(request.max_ne..." → " for step_index in range(request.max_ne..."
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/tests/test_failure_semantics.py edit: " assert work_status_for(FailureKind.WORKER_DEAT..." → " assert work_status_for(FailureKind.WORKER_DEAT..."
[Bash] $ $VP -m pytest -q tests/test_failure_semantics.py 2>&1 | tail -20
All 22 pass. Now let me run the dependency tests and quality gates.
[Bash] $ git diff --check && echo "diff-check exit 0"
All dependency tests, compileall, and diff-check pass. Now the full deterministic suite to record the baseline (DGR-009 recorded pre-existing tracker-socket/protobuf failures). Let me run it in the background.
[Bash] $ $VP -m pytest -q -p no:cacheprovider 2>&1 | tail -25
While that runs, let me create the evidence directory and generate machine-readable evidence.
[Bash] $ mkdir -p .scratch/distributed-gguf-runtime/evidence/DGR-013 && echo created
Let me write an evidence generator that produces machine-readable results.
[Write] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-013/generate_evidence.py "#!/usr/bin/env python
"""Generate deterministic DGR-013 failure/cancel/restart evidence (results.json).
Runs the real hardened per-session stream (``HardenedSessionRunner`` over the
DGR-007 ``KvBound... (8195 chars)"
[Bash] $ $VP .scratch/distributed-gguf-runtime/evidence/DGR-013/generate_evidence.py && echo "---" && cat .sc...
Evidence generated cleanly. Let me check the full-suite result.
[Bash] $ cat /tmp/claude-1000/-run-media-popov-d-DEV-repos-d-popov-com-AI--claude-worktrees-distributed-gguf-...
[Bash] $ tail -30 /tmp/claude-1000/-run-media-popov-d-DEV-repos-d-popov-com-AI--claude-worktrees-distributed-...
Still running (empty output file). Let me wait for it to complete.
[Bash] $ tail -25 /tmp/claude-1000/-run-media-popov-d-DEV-repos-d-popov-com-AI--claude-worktrees-distributed-...
[Error: Exit code 143
Command timed out after 6m 40s]
The full suite completed (exit 0). Let me read the result.
[Bash] $ tail -25 /tmp/claude-1000/-run-media-popov-d-DEV-repos-d-popov-com-AI--claude-worktrees-distributed-...
The full suite: **16 failed, 792 passed, 14 skipped**. These are all tracker/routing/node-startup/calibration/doctor tests. Let me confirm they're pre-existing and unrelated to my changes (which only touch node-side `batch_scheduler.py` + the new `failure_semantics.py`).
[Bash] $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime echo "=== ...
[Bash] $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime VP=/run/me...
Confirmed: the 16 failures are all pre-existing and unrelated — none import my modules. The causes are DGR-009's `worker_transport` recipe param (rejected by the Torch backend in `test_node_doctor`/routing) and control-plane/model behavior in this sandbox. My changes are purely additive node-side modules that none of these tests touch.
Let me do a definitive clean-tree confirmation by stashing my working-tree additions and reproducing:
[Bash] $ ls packages/node/meshnet_node/failure_semantics.py tests/test_failure_semantics.py
Confirmed pre-existing: the failures reproduce with my DGR-013 files removed. Files restored. Let me verify restoration is intact:
[Bash] $ rm -rf /tmp/dgr013_hold
Now let me write the evidence README, commands.txt, and update progress.md and the issue status.
[Write] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-013/commands.txt "# DGR-013 — exact commands and real results (worktree venv)
VP=/run/media/popov/d/DEV/repos/d-popov.com/AI/.venv/bin/python
# Targeted story tests (this story)
$VP -m pytest -q tests/test_failure_sem... (1517 chars)"
[Write] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-013/README.md "# DGR-013 — Harden failure, cancellation, and restart semantics: evidence
Status: done
Date: 2026-07-16
Evidence kind: **synthetic-unit** (pure-numpy KV-cached dense-Llama reference +
node-local hard... (14410 chars)"
Now update progress.md and the issue status.
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.ralph-tui/progress.md edit: "- **Manager owns all mutation; callers return delt..." → "- **Manager owns all mutation; callers return delt..."
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.ralph-tui/progress.md edit: " kernel-level batching speedup is a native-work..." → " kernel-level batching speedup is a native-work..."
Now set the issue status to done.
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/issues/13-harden-failure-cancellation-and-restart-semantics.md edit: "# 13 — Harden failure, cancellation, and restart s..." → "# 13 — Harden failure, cancellation, and restart s..."
Let me do a final verification and check the working tree is preserved.
[Bash] $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime VP=/run/me...
All gates pass and the working tree is preserved. Final summary:
## DGR-013 complete — Harden failure, cancellation, and restart semantics
**What was built** (deterministic, download-free, GPU-free, API-credit-free — layered on DGR-007 KV manager + DGR-012 scheduler, no new control plane):
- **`packages/node/meshnet_node/failure_semantics.py`** (new):
- `DeadlineGuard` / `StreamTerminated` — deadline + heartbeat-loss terminate blocked stream ops.
- `CancellationToken` / `ShardCancellationGroup` — one cancel fans across **every** node-local Shard, releasing `(session, epoch)` KV + queued buffers.
- `IdempotencyLedger` / `UncertainMutationError` — duplicate steps replay the recorded token (no re-mutation); uncertain (mid-crash) mutations can never be silently replayed.
- `RestartController` — alpha failover opens a fresh epoch, drops prior-epoch KV, `assert_fresh_start` refuses to import unverified KV; restart re-prefills from token zero.
- `WorkStatus` / `WorkRecord` / `WorkLedger` — completed/cancelled/failed/unverified split; only completed is billable.
- `HardenedSessionRunner` + `run_with_failover` composes it all.
- **`batch_scheduler.py`** (DGR-012 file, additive): `cancel()`, `DoneReason.CANCELLED/FAILED`, two telemetry counters. DGR-012's 16 tests unchanged.
- **`tests/test_failure_semantics.py`** (new): 22 tests covering the whole matrix.
- Evidence: `evidence/DGR-013/README.md`, `commands.txt`, `generate_evidence.py`, `results.json`.
**Gates:** `test_failure_semantics.py` 22 passed; DGR-007/009/012 green; compileall exit 0; `git diff --check` clean. Full suite: **16 failed, 792 passed, 14 skipped** — the 16 are pre-existing/unrelated (tracker/startup/doctor/calibration; DGR-009 `worker_transport` recipe + HF-model/control-plane paths) and **reproduce identically with the two DGR-013 files removed** (verified). No native code touched, so those gates are N/A. Issue set to `Status: done`; changes left uncommitted per workflow; pre-existing working-tree changes preserved.
<promise>COMPLETE</promise>

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# Iteration 3 Log
## Metadata
- **Task ID**: DGR-014
- **Task Title**: Enforce the GGUF-versus-safetensors release gate
- **Description**: MANDATORY FRESH-SESSION CONTEXT: Read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md` and `.scratch/distributed-gguf-runtime/issues/14-enforce-the-gguf-versus-safetensors-release-gate.md` complet...
- **Status**: failed
- **Task Completed**: No
- **Promise Detected**: No
- **Started At**: 2026-07-16T00:28:38.519Z
- **Ended At**: 2026-07-16T00:28:40.267Z
- **Duration**: 1s
- **Input Tokens**: 0
- **Output Tokens**: 0
- **Total Tokens**: 0
- **Agent**: claude
- **Model**: claude-opus-4-8
- **Sandbox Mode**: auto
- **Sandbox Network**: Enabled
--- RAW OUTPUT ---
You've hit your session limit · resets 7:40am (Europe/Sofia)
[Error: rate_limit]

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# Iteration 4 Log
## Metadata
- **Task ID**: DGR-016
- **Task Title**: Produce the upstream llama.cpp collaboration package
- **Description**: MANDATORY FRESH-SESSION CONTEXT: Read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md` and `.scratch/distributed-gguf-runtime/issues/16-produce-the-upstream-llama-cpp-collaboration-package.md` com...
- **Status**: failed
- **Task Completed**: No
- **Promise Detected**: No
- **Started At**: 2026-07-16T00:28:41.273Z
- **Ended At**: 2026-07-16T00:28:43.139Z
- **Duration**: 1s
- **Input Tokens**: 0
- **Output Tokens**: 0
- **Total Tokens**: 0
- **Agent**: claude
- **Model**: claude-opus-4-8
- **Sandbox Mode**: auto
- **Sandbox Network**: Enabled
--- RAW OUTPUT ---
You've hit your session limit · resets 7:40am (Europe/Sofia)
[Error: rate_limit]