# 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 "", line 1, in 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 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: 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 ; 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.] 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.