其次，大模型没有天然的执行能力，需要辅以智能体工程来将意图转化为实际操作。工具调用是当前最主流的方式，大模型根据任务需求，生成结构化的函数调用指令，由智能体框架解析后执行相应操作，比如调用天气API、数据库查询、发送邮件等；另一种方式是模拟人类操作，通过视觉识别和模拟操作来"看屏幕、点按钮、填表单"来完成任务，近期大火的豆包手机就是这样完成智能体操作；对于更复杂的任务，智能体还可以配置代码解释器（Code Interpreter / Sandbox），让模型编程运行，这可以极大的扩展智能体的行动边界。
Postgres has its own primitives for things that forges currently build custom infrastructure around. A trigger on the refs table firing NOTIFY means any connected client learns about a push the moment it happens, which is how forges normally end up building a custom webhook polling layer. Multi-tenant repo isolation becomes a database concern through row-level security on the objects and refs tables, and logical replication lets you selectively stream repositories across Postgres instances, a kind of partial mirroring that filesystem-based git can’t do. Commit graph traversal for ancestry queries and merge-base computation falls to recursive CTEs, and pg_trgm indexes on blob content give you substring search across all repositories without standing up a separate search index.
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