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Ollama Cloud was throttled across all 6 cloud rungs in iters 1-9, which forced the loop into 0-review iterations even though the architecture was sound. Swapping to paid OpenRouter unblocks the test path. Ladder changes (top-of-ladder paid models, all under $0.85/M either side): - moonshotai/kimi-k2.6 ($0.74/$4.66, 256K) — capped at 25/hr - x-ai/grok-4.1-fast ($0.20/$0.50, 2M) — primary general - google/gemini-2.5-flash ($0.30/$2.50, 1M) — Google reasoning - deepseek/deepseek-v4-flash ($0.14/$0.28, 1M) — cheap workhorse - qwen/qwen3-235b-a22b-2507 ($0.07/$0.10, 262K) — cheapest big Existing rungs (Ollama Cloud + free OR + local qwen3.5) kept as fallback. Per-model rate limiter (MODEL_RATE_LIMITS in scrum_master_pipeline.ts): - Persists call timestamps to data/_kb/rate_limit_calls.jsonl so caps survive process restarts (autonomous loop spawns a fresh subprocess per iteration; without persistence each iter would reset) - O(1) writes, prune-on-read for the rolling 1h window - Capped models log "SKIP (rate-limited: cap N/hr reached)" and the ladder cycles to the next rung - J directive 2026-04-25: 25/hr on Kimi K2.6 to bound output cost Observer hand-review cloud tier swapped from ollama_cloud/qwen3-coder:480b to openrouter/x-ai/grok-4.1-fast — proven to emit precise semantic verdicts (named "AccessControl::can_access() doesn't exist" specifically in 2026-04-25 tests instead of the heuristic fallback). Applier patch emitter swapped from ollama_cloud/qwen3-coder:480b to openrouter/x-ai/grok-4.1-fast (default; LH_APPLIER_MODEL + LH_APPLIER_PROVIDER override). This was the third LLM call we missed — without it, observer accepts a review but applier never produces patches because its emitter was still hitting the throttled account. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>