The Technical Footnote: Why the spoof() Function is Different in V3
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I then added a few more personal preferences and suggested tools from my previous failures working with agents in Python: use uv and .venv instead of the base Python installation, use polars instead of pandas for data manipulation, only store secrets/API keys/passwords in .env while ensuring .env is in .gitignore, etc. Most of these constraints don’t tell the agent what to do, but how to do it. In general, adding a rule to my AGENTS.md whenever I encounter a fundamental behavior I don’t like has been very effective. For example, agents love using unnecessary emoji which I hate, so I added a rule:
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这些动作指向同一个变化：平台被要求把收费、定价与规则从黑箱拉回可解释、可对账、可追责的框架。对OTA来说，这更像一次商业模式压力测试。交易规模趋稳后，增长从做大订单转向提高单位变现，但抽佣与各类附加收费很快触及供给侧现金流边界，于是平台收费模式的再定价不可避免。