# Runbook: exercising review/debug traffic to fill the pass-rate dataset **Why this exists:** the routing pod's local-vs-cloud decision is gated on a pass-rate history that only accrues from real `review`/`debug` invocations **through the pod**. Until the dataset has data, the fast (local) path never activates and the core hypothesis (hyperguild #35) can't be validated. This runbook is how you spin that flywheel. ## The one trap Pass-rate accrues **only** when a skill tool is called via the routing pod's MCP endpoint. These look like they should count but **do not**: - **Crush** — talks to LiteLLM directly, bypasses the pod. No log. - **claude.ai web / Claude Desktop without the connector** — no log. - **Running the local `code-review` / `debug` skills** (`~/dev/.skills`) inline in a Claude Code session — those are local skills, not the pod's MCP tools. No log. Only a `tools/call` to the routing pod records a pass/fail. ## Endpoints | Purpose | URL | Auth | |---------|-----|------| | Routing MCP (local, Tailscale) | `http://koala:30310/mcp` | Bearer `ROUTING_MCP_TOKEN` | | Routing MCP (remote) | `https://routing-mcp.d-ma.be/mcp` | OAuth via `auth.d-ma.be` (audience `claude-ai`) | | Pass-rate readout | `http://koala:30330/pass-rate?skill=` | none (read-only) | Tools advertised: **`review`**, **`debug`** (the two the #35 gate measures), plus `session_log`, `retrospective`, `trainer`. ## Step 1 — connect the routing pod as an MCP server **Local** (needs the bearer token; keep it out of argv via 1Password): ```bash op run --env-file ~/.op-env -- \ claude mcp add routing --transport http http://koala:30310/mcp \ --header "Authorization: Bearer $ROUTING_MCP_TOKEN" ``` **Remote** (claude.ai / Claude Desktop): add a custom connector pointing at `https://routing-mcp.d-ma.be/mcp`; it completes OAuth against `auth.d-ma.be`, no static token. Verify: a `tools/list` should return `review`, `debug`, `session_log`, `retrospective`, `trainer`. ## Step 2 — route real work through it In normal sessions, invoke the pod's tools instead of reviewing/debugging inline: - *"Use the **routing** `review` tool on this diff."* - *"**debug** this failure through the routing pod."* Each call logs an outcome to ingestion → `/pass-rate` ticks up. ## Step 3 — how routing actually picks the model Per `internal/routing/policy.go`: 1. pass-rate `nil` (cold) → **local** fast tier. The router defaults to local from invocation #1, not to cloud — so the fast tier is exercised immediately. 2. pass-rate `>= 0.90` (floor) → **local**; `< 0.70` (ceil) → **cloud/thinking**; in the `[0.70, 0.90)` band a request-hash bit samples 50/50. 3. On a local execution error the router falls open to the thinking model for that one call (logged `thinking_fallback`). So you are not "paying in on cloud" — cold calls already run on the (validated) local fast tier **`koala/qwen36-35b-a3b`** (Qwen3.6-35B-A3B MTP, promoted 2026-06-29, infra `c66a195`, `HYPERGUILD_FAST_MODEL`). Accumulating passes just keeps it there once real pass-rate is computed. > **Instrumentation note (#73, fixed 2026-06-30):** until v0.11.1 the pod logged > successes as `"skip"` (not `"pass"`), under `skill:"_routing"`, via an > unauthenticated POST that silently 401'd — so `/pass-rate` stayed at zero no > matter how much you used it. That's fixed and verified (a real review call now > moves `/pass-rate?skill=review` 0→1). If you see traffic not registering, > re-check #73's three failure modes first. ## Target & verification - **50 logged invocations** across `review` + `debug` within the 14-day window. The clock restarts **2026-06-30** (the day instrumentation was verified working; the original 2026-06-26→07-10 window measured broken plumbing) → **kill-date 2026-07-14**, ~4 calls/day (1 already logged from the #73 smoke test). - Check progress anytime: ```bash curl -s "http://koala:30330/pass-rate?skill=review" curl -s "http://koala:30330/pass-rate?skill=debug" ``` - If ~4–5/day isn't realistic alongside Crush, that is **not** a failure — per #35 deliverable #1 it's the signal hyperguild isn't on the work critical path, and the pre-decided **Berget fallback** (`gpt-oss-120b` / `qwen3-32b`) carries the fast tier instead. ## Refs - hyperguild #35 — the validation issue (data gate = deliverable #1) - `docs/multi-model-routing.md` — routing policy - brain: `wiki/homelab/hypotheses/qwen36-35b-a3b-fast-model-experiment-2026-05-28.md` - infra `c66a195` — qwen36 promotion; `models.yml` / `llama-swap-configmap.yaml`