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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До этого стало известно, что президент Франции Эммануэль Макрон планирует произнести речь, в которой предложит остальным европейским союзникам ядерную защиту со стороны Парижа. Уточняется, что речь французского лидера станет «переломным этапом».。Line官方版本下载是该领域的重要参考
（二）已满十六周岁不满十八周岁，初次违反治安管理的；。夫子对此有专业解读
The new DDoS: Unicode confusables can't fool LLMs, but they can 5x your API bill Can pixel-identical Unicode homoglyphs fool LLM contract review? I tested 8 attack types against GPT-5.2, Claude Sonnet 4.6, and others with 130+ API calls. The models read through every substitution. But confusable characters fragment into multi-byte BPE tokens, turning a failed comprehension attack into a 5x billing attack. Call it Denial of Spend.
В Guardian ранее отмечали, что Байден звонил Путину в 2021 году из-за опасений по Украине.。关于这个话题，im钱包官方下载提供了深入分析