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Marius CiepluchandClaude Opus 5.5
ea61dc1bb3
learn/program.py: the declared signature (code, signals, roles, family in; verdict, family, confidence, rationale with cited lines out), the baseline instruction, rendering as [system: instruction + demonstrations] -- byte-identical for every candidate, so the provider's prefix cache can hit -- then [user: retrieved examples with their labels, the candidate without one]. Signals pass validate_x first (no EXCLUDED_FIELDS, missing instruments in words). Answers are one JSON object; one that does not parse or cites no line inside the excerpt is asked once more at temperature 0 and otherwise becomes unsure/parse_failed, never not_vulnerable. Classify(k): sample 1 at 0.0, the rest at 0.7; score s = mean p_j; majority verdict, ties unsure; a majority unsure cannot BLOCK. Caller caches each response as responses/<sha>.json keyed by (model, Model parameters digest, messages, temperature, sample, json_object) and replays at $0; spend is priced from the recorded usage once per distinct request, so a replay reports the same usd. Program.decide asserts the evaluation boundary on the rendered ids before any call. MeteredClient.complete passes temperature/logprobs through (only when set); DeepSeekChatClient sends temperature beside thinking=disabled. Co-Authored-By: Claude Opus 5.5 <[email protected]> Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo