neuron-tai/.scratch/distributed-gguf-runtime/ralph-iterations-codex-gpt54mini/5b07e289_2026-07-15_23-16-31_DGR-010.log

# Iteration 2 Log

## Metadata

- **Task ID**: DGR-010
- **Task Title**: Pass local real-model two-process acceptance
- **Description**: MANDATORY FRESH-SESSION CONTEXT: Read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md` and `.scratch/distributed-gguf-runtime/issues/10-pass-local-real-model-two-process-acceptance.md` completely ...
- **Status**: completed
- **Task Completed**: Yes
- **Promise Detected**: Yes
- **Started At**: 2026-07-15T20:16:31.676Z
- **Ended At**: 2026-07-15T20:20:37.992Z
- **Duration**: 4m 6s
- **Input Tokens**: 1786540
- **Output Tokens**: 15002
- **Total Tokens**: 1801542
- **Agent**: codex
- **Model**: gpt-5.4-mini
- **Sandbox Mode**: auto
- **Sandbox Network**: Enabled
--- RAW OUTPUT ---
I’m reading the story context, progress log, and dependency evidence first, then I’ll trace the current implementation path to see whether this is already complete or what remains.
[shell] $ /bin/bash -lc "sed -n '1,260p' .claude/memory/MEMORY.md"
[shell] $ /bin/bash -lc "pwd && rg --files .claude/memory .scratch/distributed-gguf-runtime .ralph-tui | sed '...
[shell] $ /bin/bash -lc "sed -n '1,260p' .scratch/distributed-gguf-runtime/RALPH-CONTEXT.md && printf '\\n---I...
I’ve got the story contract and the dependency chain. Next I’m checking the live code, the repo vocabulary doc, and the DGR-009 evidence so I can verify whether DGR-010 is already satisfied or what is actually missing.
[shell] $ /bin/bash -lc "sed -n '1,260p' .scratch/distributed-gguf-runtime/evidence/DGR-009/README.md"
[shell] $ /bin/bash -lc "sed -n '1,260p' CONTEXT.md"
[shell] $ /bin/bash -lc "sed -n '1,260p' docs/adr/0024-distributed-gguf-runtime.md"
[shell] $ /bin/bash -lc 'git status --short'
[shell] $ /bin/bash -lc "sed -n '1,260p' .scratch/distributed-gguf-runtime/prd.json"
I’ve confirmed the live dependency state: DGR-009 is done, DGR-010 is still open in `prd.json`, and the repo already contains a substantial native GGUF implementation. I’m now checking whether the acceptance criteria are already satisfied by existing code/tests before I touch anything.
[shell] $ /bin/bash -lc "rg -n '\"id\": \"DGR-010\"|\"passes\"' .scratch/distributed-gguf-runtime/prd.json"
[shell] $ /bin/bash -lc "sed -n '260,520p' .scratch/distributed-gguf-runtime/prd.json"
[shell] $ /bin/bash -lc "rg -n \"DGR-010|two-process|real-model|real inference|MESHNET_ENABLE_REAL_INFERENCE_T...
[shell] $ /bin/bash -lc "sed -n '1,220p' .scratch/distributed-gguf-runtime/evidence/README.md"
The repository already has the later-stage GGUF pieces, so I’m narrowing to the specific acceptance path: local two-process parity, four-session isolation, and the reporting/evidence hooks. I need to see whether there is already a runnable harness for that or whether I need to add one.
[shell] $ /bin/bash -lc "sed -n '1,260p' packages/node/meshnet_node/route_session_benchmark.py && printf '\\n-...
[shell] $ /bin/bash -lc "sed -n '1,260p' packages/node/meshnet_node/hot_kv_state.py && printf '\\n---\\n' && s...
[shell] $ /bin/bash -lc "sed -n '1,260p' tests/test_real_model_backend.py && printf '\\n---\\n' && sed -n '1,2...
[shell] $ /bin/bash -lc "sed -n '1,260p' packages/node/meshnet_node/startup.py && printf '\\n---\\n' && sed -n...
I’ve verified the core DGR-006/DGR-007 seams exist. What remains is whether there is already a real-model acceptance harness and whether the repo exposes a clean opt-in path that can generate the required evidence without touching unrelated files.
[shell] $ /bin/bash -lc "sed -n '260,520p' packages/node/meshnet_node/startup.py"
[shell] $ /bin/bash -lc "sed -n '1,260p' .scratch/distributed-gguf-runtime/evidence/DGR-007/README.md && print...
[shell] $ /bin/bash -lc "sed -n '1,260p' tests/test_llama_worker_build.py && printf '\\n---\\n' && sed -n '1,2...
[shell] $ /bin/bash -lc "rg -n \"real-model|MESHNET_ENABLE_REAL_INFERENCE_TESTS|llama-cpp-native|two-process|f...
The codebase already has real-model toggles and benchmark/reporting utilities. I’m checking the acceptance-test surface next, because if the story is missing only durable evidence and a small harness, I should keep the change narrow and avoid destabilizing the existing repo state.
[shell] $ /bin/bash -lc "sed -n '1,260p' .scratch/distributed-gguf-runtime/architecture.md && printf '\\n---\\...
[shell] $ /bin/bash -lc "sed -n '560,760p' tests/test_node_doctor.py && printf '\\n---\\n' && sed -n '1,260p' ...
[shell] $ /bin/bash -lc 'rg -n "real-model smoke|real inference|two-process|Route Session|bounded structured f...
I’ve confirmed the architecture docs still place DGR-010 exactly where the user said. Before I decide whether this is an implementation gap or just an evidence gap, I’m checking what local model/runtime configuration exists in the workspace so I can tell if the real-model acceptance run is actually feasible here.
[shell] $ /bin/bash -lc "ls -la .scratch/distributed-gguf-runtime/evidence && find .scratch/distributed-gguf-r...
[shell] $ /bin/bash -lc "find .. -maxdepth 2 -name '.env*' -o -name 'hosting.json' -o -name 'README.md' | sed ...
[shell] $ /bin/bash -lc "rg -n \"MESHNET_MODELS_DIR|MESHNET_DOWNLOAD_DIR|MESHNET_DOCTOR_MODEL|MODEL_DIR|models...
There’s no obvious local model manifest under this worktree yet, so I’m not assuming the real-model run is possible. I’m checking the existing story README and environment conventions next to see whether the repo already defines the opt-in path and storage location I need to preserve.
[shell] $ /bin/bash -lc "sed -n '1,220p' .scratch/distributed-gguf-runtime/README.md"
[shell] $ /bin/bash -lc "sed -n '1,260p' .claude/memory/project-status.md"
[shell] $ /bin/bash -lc 'rg -n "MESHNET_REAL_MODEL_TESTS|MESHNET_ENABLE_REAL_INFERENCE_TESTS|real-model" .scra...
The repo already has a real-model smoke test for the Torch backend and a GGUF seam, but not a dedicated local two-process acceptance path yet. I’m inspecting the GGUF backend factory and its tests now to see whether I can reuse existing seams rather than invent a new one.
[shell] $ /bin/bash -lc "sed -n '260,520p' packages/node/meshnet_node/gguf_backend.py && printf '\\n---\\n' &&...
[shell] $ /bin/bash -lc "sed -n '1,260p' packages/node/meshnet_node/testing.py && printf '\\n---\\n' && sed -n...
[shell] $ /bin/bash -lc "sed -n '1,260p' packages/node/meshnet_node/recipe_manifest.py && printf '\\n---\\n' &...
The next step is likely a new opt-in integration test or runner that composes the existing real backend, tracker admission, and session isolation. I’m locating the concrete startup seams now so I can hook in without changing the default paths.
[shell] $ /bin/bash -lc "sed -n '1180,1380p' packages/node/meshnet_node/startup.py && printf '\\n---\\n' && se...
[shell] $ /bin/bash -lc "rg -n \"def _gguf_backend_for_recipe|build_gguf_backend|GgufNodeBackend|TorchNodeServ...
[shell] $ /bin/bash -lc "sed -n '1,220p' packages/node/meshnet_node/torch_server.py"
The startup path already supports real model loading and explicit GGUF backend selection. I’m checking the local environment file now because DGR-010 hinges on whether the mounted-drive model artifact and runtime recipe are actually available on this machine.
[shell] $ /bin/bash -lc "sed -n '1,240p' ../distributed-gguf-runtime/.env.testnet"
[shell] $ /bin/bash -lc "find /run/media/popov/d/DEV -maxdepth 4 -type d \\( -name 'models' -o -name 'cache' -...
[shell] $ /bin/bash -lc "find /run/media/popov/d/DEV -maxdepth 5 -type f \\( -name '*.gguf' -o -name 'config.j...
There is mounted-drive model data available, but the obvious GGUF artifact is Qwen2.5, not dense-Llama. I’m checking for a local certified dense-Llama artifact before I decide whether the acceptance run can be executed here or only documented with a harness.
[shell] $ /bin/bash -lc "find /run/media/popov/d/DEV/models -maxdepth 4 -type f \\( -name 'config.json' -o -na...
[shell] $ /bin/bash -lc "find /run/media/popov/d/DEV/repos/d-popov.com -maxdepth 4 -type f \\( -name 'config.j...
[shell] $ /bin/bash -lc "find /run/media/popov/d/DEV/models -maxdepth 3 -type d | sed -n '1,200p'"
[shell] $ /bin/bash -lc "find /run/media/popov/d/DEV/models/models--* -path '*/config.json' -o -path '*/tokeni...
[shell] $ /bin/bash -lc "python - <<'PY' from pathlib import Path base=Path('/run/media/popov/d/DEV/models') f...
[shell] $ /bin/bash -lc "python - <<'PY' from pathlib import Path import json base=Path('/run/media/popov/d/DE...
I’ve narrowed the blocker: the machine has mounted-drive model storage, but not a certified dense-Llama artifact I can use for the acceptance run. I’m doing one final sweep for any tiny local Llama-family weights or cached snapshots before I decide whether I can execute the story or have to stop with a blocker note.
[shell] $ /bin/bash -lc "find /run/media/popov/d/DEV -type f \\( -name '*.gguf' -o -name '*.safetensors' -o -n...
[shell] $ /bin/bash -lc "find /run/media/popov/d/DEV/repos/d-popov.com -type f \\( -name '*.gguf' -o -name '*....
[shell] $ /bin/bash -lc "python - <<'PY' from pathlib import Path for base in [Path('/run/media/popov/d/DEV/mo...
I’ve confirmed there’s no certified dense-Llama artifact available locally, so the actual DGR-010 run cannot be executed on this machine right now. I’m doing one last code search for any existing two-process acceptance harness before I decide whether to add a reusable runner or stop with a blocker artifact.
[shell] $ /bin/bash -lc "rg -n \"MESHNET_DOCTOR_MODEL|MESHNET_ENABLE_REAL_INFERENCE_TESTS|MESHNET_NATIVE_WORKE...
[shell] $ /bin/bash -lc 'rg -n "two-process acceptance|local real-model|acceptance runner|real-model.*two-proc...
I’ve got a hard external blocker, so I’m writing the required story handoff as a `BLOCKED.md` instead of pretending the acceptance run succeeded. That keeps the next iteration from re-discovering the same missing artifact and tells the exact next step to unblock it.
The blocker note is in place. I’m doing a final status check so I can report exactly what changed and avoid accidentally claiming the story is done.
[shell] $ /bin/bash -lc 'git status --short .scratch/distributed-gguf-runtime/evidence/DGR-010/BLOCKED.md && g...
Blocked on the required certified dense-Llama artifact.

I verified the local mounted-drive storage and found Qwen artifacts, but no certified dense-Llama GGUF or safetensors snapshot to run the real-model two-process acceptance. I added a durable handoff at [BLOCKED.md](/run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-010/BLOCKED.md) with the commands I ran and the exact unblock step.

What’s missing:
- A certified dense-Llama artifact on the configured mounted drive
- A real `MESHNET_ENABLE_REAL_INFERENCE_TESTS=1` acceptance run against that artifact

If you want, provide the artifact path or mount location and I’ll continue from there.

--- STDERR ---
warning: `--full-auto` is deprecated; use `--sandbox workspace-write` instead.