docs(llm): document qwen-classifier reality, add --reasoning off safety net

- docker-compose.yml: add --reasoning off to qwen-classifier per
  fast-model-choice.md's own recommendation (ggml-org/llama.cpp#20809
  safety net) — missed in the original rollout, caught while writing
  this up.
- docs/coding-cli-setup/qwen-code.md: rewritten to match what's actually
  deployed (qwen-classifier, partial GPU offload, 65536 ctx, Q4_K_XL) —
  previously described an unimplemented llama-server-fast/8192-ctx plan.
  Documents the non-interactive MCP tool allow-list gap found live-testing.
- docs/coding-cli-setup/opencode.md: fix stale 65536 example that didn't
  match its own documented LLAMA_CTX_SIZE/LLAMA_PARALLEL formula (131072).
- docs/research/fast-model-choice.md: implementation note recording where
  the actual rollout diverged from this doc's original recommendations
  (service name, quant, context size, CPU-first-then-GPU path).
- docs/research/omniroute-account-semaphore-timeout.md: new — the
  hardcoded 30s per-connection semaphore timeout found during the
  pr-agent investigation, root-caused against OmniRoute's own source,
  and the maxConcurrent:null + providerSpecificData.timeoutMs fix.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

docker-compose.yml

@@ -79,6 +79,14 @@ services:
   # carried over from llama-server's comment above — same ROCm/ROCm#5706
   # clock-pinning bug applies now that two HIP contexts (this +
   # llama-server) share the card.
+  #
+  # --reasoning off is a no-cost safety net, not a confirmed-needed fix:
+  # ggml-org/llama.cpp#20809 (closed) documents some server builds
+  # misdetecting Qwen3-Instruct-2507 models as thinking models, routing
+  # tool-call output into reasoning_content instead of tool_calls — exactly
+  # the failure mode that ruled out the 27B model for this role in the
+  # first place. Whether the current image build still has it was never
+  # independently confirmed (see docs/research/fast-model-choice.md §4/§6).
   qwen-classifier:
     image: ghcr.io/ggml-org/llama.cpp:server-rocm
     container_name: qwen-classifier
@@ -105,6 +113,7 @@ services:
       --batch-size 512
       --ubatch-size 128
       --flash-attn on
+      --reasoning off
       --cache-type-k q4_0
       --cache-type-v q4_0
       --jinja