for (int i = 0; i < digit; i++) {
据介绍，在 Expert 2.0 中，MiniMax 进一步优化了专家 Agent 的创建体验。用户不需要考虑 Skill、SubAgent、MCP 的配置，以及提示词的结构编排——只需用自然语言描述任务目标或能力需求，Agent 会根据目标完成 SOP 梳理、工具编排与能力配置。
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The performance characteristics are attractive with incredibly fast cold starts and minimal memory overhead. But the practical limitation is language support. You cannot run arbitrary Python scripts in WASM today without compiling the Python interpreter itself to WASM along with all its C extensions. For sandboxing arbitrary code in arbitrary languages, WASM is not yet viable. For sandboxing code you control the toolchain for, it is excellent. I am, however, quite curious if there is a future for WASM in general-purpose sandboxing. Browsers have spent decades solving a similar problem of executing untrusted code safely, and porting those architectural learnings to backend infrastructure feels like a natural evolution.