synthesize: anonymous braindump CSV → themed review doc via the co-op gateway

Stdlib-only pipeline for the pre-meeting braindump: CryptPad Form CSV in,
review.md + synthesis.json out. Two model stages (tag atomic points with
verbatim quotes, cluster into themes/novel/dissent) wrapped in deterministic
Python that verifies every quote against the source and computes counts from
item ids, so the model never writes the final document. Defaults to
tinfoil/glm-5.3 with reasoning_effort=low: without it the model spent the
whole 8000-token budget on hidden reasoning and returned nothing (probed
2026-10-19; findings in README). Refuses non-TEE models without a flag.
Content-hash cache so prompt tuning reruns are free. Offline unittest suite
with a fake gateway; smoke-tested live on 5 synthetic responses for ~$0.03.

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>

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