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refactor(judge): simplify prompt to a direct similarity instruction
Replace the few-shot "<sentence> is the same as" -> "<label>" framing with a single system instruction: name the targets and ask for the one most similar to the player's message, sent the bare sentence as the user turn. Drops the per-board few-shot examples and the Level.examples field along with all the "is the same as" suffix plumbing. The Modal endpoint is prompt-agnostic (it scores whatever messages arrive), so no redeploy is needed for this to take effect in the app. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>491911f
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feat(judge): self-host emotion judge on Modal GPU with exact logprobs (#24)
Ben BlakerUnverified signatureReplace the HF Inference Providers call (top-20 logprob cap + missing-label floor) with a self-hosted MiniCPM3-4B on a Modal GPU that reads exact full-vocab probabilities. judge.py builds the prompt and POSTs {messages, labels} to a scale-to-zero Modal endpoint that scores each label's whole token sequence in one batched forward pass. Reconciled with the modular levels/ architecture on main.9f36d31