bench: commit the harnesses the frank-medium numbers came from

Every measurement behind the frank-medium runbook was taken with scripts that
lived in /tmp on two hosts — reproducible only until the next reboot, and
invisible to anyone reading the repository. This moves the useful four into
scripts/, where this repo already keeps its bench harnesses:

  bench-vllm-corpus.py    code-shaped corpus from the repo's own sources, because
                          synthetic random prompts misreport draft acceptance
                          badly (2.9-3.6 tok/update against ~5.8 on code)
  bench-vllm-serve.sh     concurrency sweep; encodes the two traps that produced
                          silent garbage — the tokenizer argument, without which
                          the client dies resolving "frank-medium" on HF and
                          reports no numbers at all, and the --ignore-eos
                          semantics that must not be compared across
  bench-turn-latency.py   per-turn TTFT for an agent-loop shape; the instrument
                          that decided the routing policy, and the one that shows
                          cold-vs-warm prefill directly
  bench-llm-soak.py       sustained multi-family load; what found the capacity
                          wall (three 30k-token families, 75% cold re-prefills,
                          zero failures)

Each header carries its traps and the interpretation; the runbook's Benchmarks
section now points at them instead of describing methodology with no tooling.

Also adds the missing half of the script seam: scripts/*.py are compiled, not
just scripts/*.sh syntax-checked — a harness with a syntax error could otherwise
ship unnoticed until someone needed it during an incident.

Both python harnesses were smoke-tested against the live fleet before commit:
the corpus builder wrote 15 prompts, and the turn harness measured 12.5 s cold
against 1.4 s warm on the same prompt — the cache behaviour the runbook claims.

serverAppConfigs-docs/LLM/frank-medium-radiance-mxfp4.md

@@ -268,6 +268,15 @@ Restarting a stopped replica takes about 150 s (warm compile cache).
 
 ## Benchmarks
 
+The harnesses live in the repository — the numbers below are reproducible with
+`scripts/bench-vllm-corpus.py` (build the code corpus), `scripts/bench-vllm-serve.sh`
+(concurrency sweep), `scripts/bench-turn-latency.py` (per-turn TTFT for an
+agent-loop shape, which is what the routing decision optimizes) and
+`scripts/bench-llm-soak.py` (sustained multi-family load). Each carries the
+traps in its header: the tokenizer argument that makes a `vllm bench` run report
+nothing, the salted prompts that keep a run from inheriting a warm cache, and
+why the corpus is code-shaped rather than `random`.
+
 `vllm bench serve` against the proxy (both cards serving), random dataset,
 `--ignore-eos`, `2026-09-16`: