Session log: qwen3.6 benchmark, route strict-format to 3.6

Benchmarked qwen3.6 (36B MoE) vs qwen3:14b and qwen3:32b on 16
representative prompts. qwen3.6 scored 15/16 vs 14b 11/16 and 32b
12/16, winning every strict-format/adherence test (multi-step rules,
weekend-aware scheduling, prompt-injection resistance, word-limit
summary). Single reasoning regression noted for re-check at qwen3.7.

Updated .claude/OLLAMA.md (Models, Documentation Engine, and
When-to-Use tables) and .claude/CLAUDE.md one-line model summary to
route strict-format work to qwen3.6 and keep bulk prose on qwen3:14b
(2x faster). Also removed openclaw npm package + ~/.openclaw data dir
earlier in the session.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

session-logs/2026-05-16-session.md

@@ -189,3 +189,86 @@ Ground-truth docs were written for both active projects. GuruRMM got `docs/tech-
 - Standards index: `.claude/standards/index.yml`
 - Commit (claudetools): `dd0ef45`
 - Commit (gururmm submodule tech-stack/mission): `79604a2`
+
+---
+
+## Update: 16:02 MST — qwen3.6 benchmark + Ollama routing update + openclaw removal
+
+**Machine:** GURU-BEAST-ROG (Mike Swanson)
+
+### Session Summary
+
+Removed openclaw from the workstation by uninstalling the global npm package (`npm uninstall -g openclaw`, 458 deps removed) and deleting the `~/.openclaw` data directory (identity, agents, memory, devices, `.env`). User chose complete deletion with no backup. Confirmed no running processes, scheduled tasks, or services existed for openclaw.
+
+Benchmarked `qwen3.6:latest` (new 36B MoE) against `qwen3:14b` (current production default) and `qwen3:32b` on the local Ollama instance to evaluate whether 3.6 is a meaningful upgrade for the documentation-engine workload. Built a Python harness measuring cold-start load time, throughput (from Ollama's eval_duration), and capability scores against deterministic graders. Initial six-prompt round exposed a grader bug (multi_step test had the wrong expected set) — after fixing, all three models scored 5/6 with qwen3.6 the only one to apply per-file rules correctly. Per user request, expanded the suite to 16 prompts weighted toward strict-format and adherence work (CSV filter, FizzBuzz, PII redaction, exact-count bullets, nested JSON, scheduling with weekend trap, prompt-injection resistance, exact delimiter, multi-field classification, strict word-limit summary).
+
+Re-ran with the expanded suite. Final scores: `qwen3:14b` 11/16, `qwen3:32b` 12/16, `qwen3.6` 15/16. qwen3.6 won every strict-format/adherence test (multi-step rules, weekend-aware scheduling, injection resistance, 25-word limit). One regression: qwen3.6 failed the 15-min schedule reasoning prompt (answered 3, expected 4) that 14b and 32b both got right. Throughput: 14b ~66 tok/s, 32b ~21 tok/s, 3.6 ~32 tok/s. qwen3.6 cold-load (4.9s) was actually faster than 14b's (8.6s) despite the larger file.
+
+Updated `.claude/OLLAMA.md` (Models, Documentation Engine, When-to-Use tables) and the one-line model summary in `.claude/CLAUDE.md` to route prose drafting to qwen3:14b (2x faster) and strict-format work (JSON, classification, redaction, word limits, multi-step rules, untrusted input) to qwen3.6. Added an explicit "untrusted input that may contain prompt injection → qwen3.6" routing rule since 14b and 32b both output "HACKED" to the injection prompt and only 3.6 ignored it.
+
+### Key Decisions
+
+- **Promoted qwen3.6 to dual-routing default** (strict-format only) rather than full replacement — 14b's 2x throughput still wins for bulk prose where format is forgiving.
+- **Expanded benchmark from 6 to 16 prompts** before changing documentation defaults. The first 6 produced an ambiguous 5/6-across-the-board signal; the expanded suite produced a decisive 4-point capability gap.
+- **Added explicit injection-resistance routing rule.** Both older models output "HACKED" to the injection test; only 3.6 resisted. Worth calling out separately in OLLAMA.md so future routing decisions account for it.
+- **Documented the 3.6 reasoning regression in OLLAMA.md as a re-check-at-qwen3.7 note** rather than disqualifying 3.6. Single-prompt miss vs four strict-format wins is a clear net positive.
+- **Kept qwen3:32b installed** despite being dominated on every axis (per user choice — frees ~20 GB if removed later).
+- **Removed openclaw with no backup** per explicit user direction ("`.env`, identity, device pairings — all gone").
+
+### Problems Encountered
+
+- **Grader bug in the multi_step test.** Initial expected set uppercased `.py` filenames but the prompt said to leave them unchanged. Discovered by inspecting raw model outputs; fixed `check_multi_step()` and re-scored from saved snippets.
+- **Shell escaping of `\n` literals** when rescoring inline via `py -c "..."` from bash double-quoted heredocs — the backslash got eaten and the replace silently no-op'd. Worked around by writing `rescore_qwen.py` as a real file.
+- **Rebase conflict on this very session log** — DESKTOP-0O8A1RL had already pushed a 2026-05-16 log earlier (GuruRMM work). Resolved by keeping both, appending this work as an Update section.
+
+### Configuration Changes
+
+- `.claude/OLLAMA.md` — rewrote three tables (Models, Documentation Engine, When-to-Use). Added benchmark-basis paragraph under Models and a one-line rule-of-thumb under When-to-Use. +23/-10 lines.
+- `.claude/CLAUDE.md` — single line updated (model summary now names qwen3.6 + qwen3:14b instead of qwen3:14b only). +1/-1.
+
+### Files Created (uncommitted, in CWD on GURU-BEAST-ROG)
+
+- `benchmark_qwen_3_6.py` — re-runnable harness, 16 prompts, deterministic graders
+- `rescore_qwen.py` — one-off rescorer that reads snippets from JSON and regenerates the MD report
+- `qwen-benchmark-2026-05-16.json` — full raw benchmark output (per-prompt timings, token counts, snippets, pass/fail)
+- `qwen-benchmark-2026-05-16.md` — readable comparison report
+
+### Infrastructure & Servers
+
+- **Ollama (local on DESKTOP-0O8A1RL, accessed from GURU-BEAST-ROG via `OLLAMA` env)** — three models exercised: `qwen3:14b` (9.3 GB), `qwen3:32b` (20 GB), `qwen3.6:latest` (24 GB MoE, Q4_K_M, family `qwen35moe`).
+- No production servers, databases, or client systems touched.
+
+### Credentials
+
+None used or rotated. The deleted `~/.openclaw/.env` likely contained openclaw-specific API keys / device pairing tokens — destroyed per user direction, not captured.
+
+### Commands & Outputs
+
+```bash
+# Remove openclaw
+npm uninstall -g openclaw       # removed 458 packages in 3s
+rm -rf "C:/Users/guru/.openclaw"
+where.exe openclaw              # INFO: Could not find files for the given pattern(s).
+
+# Run benchmark
+py benchmark_qwen_3_6.py        # 16 prompts x 3 models, ~12 min total
+
+# Final scoreboard
+#   qwen3:14b            11/16   66 tok/s
+#   qwen3:32b            12/16   21 tok/s
+#   qwen3.6:latest       15/16   32 tok/s
+```
+
+### Pending / Incomplete
+
+- **Re-validate the reasoning regression** when qwen3.7 (or any qwen3.6 update) lands. The 15-min schedule prompt (`reasoning` test in the harness) is the canary — currently 3, expected 4.
+- **Decide on qwen3:32b retention** — dominated on every axis, frees ~20 GB if removed. Deferred.
+- **Decide whether to commit benchmark artifacts to repo** (e.g. `benchmarks/` folder) so future model evaluations have a baseline. Deferred.
+
+### Reference Information
+
+- Benchmark harness: `c:\Users\guru\ClaudeTools\benchmark_qwen_3_6.py` (rerun: `py benchmark_qwen_3_6.py`)
+- Benchmark report: `c:\Users\guru\ClaudeTools\qwen-benchmark-2026-05-16.md`
+- Benchmark raw data: `c:\Users\guru\ClaudeTools\qwen-benchmark-2026-05-16.json`
+- Ollama endpoint (local on this machine): `http://localhost:11434/api/chat` with `think:false` for qwen3 family, `options.num_ctx:4096` for benchmark
+- Updated docs: `.claude/OLLAMA.md`, `.claude/CLAUDE.md`