The platform must be both a programming language and a theorem prover, with code and proofs in one system, with no translation gap. It needs a rich and extensible tactic framework that gives AI structured, incremental feedback: here is the current goal, here are the hypotheses available, here is what changed after each step. AI must control the proof search, not delegate to a black box.
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在多工具系统中,这种方式可显著减少工具相关的 Token 消耗。对于构建复杂 AI 系统的开发者而言,这类架构优化往往比单纯提升模型能力更重要。
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