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06:02

你的AI代理正被工具淹没?代码模式来救场 Why Your AI Agent Is Drowning in Tools (And How Code Mode Saves It)

Why Your AI Agent Is Drowning in Tools (And How Code Mode Saves It) 你的AI代理正被工具淹没?代码模式来救场

MCP工具过多导致LLM上下文膨胀和幻觉。常规办法有代理侧过滤或MCP侧削减,最新“代码模式”让LLM搜索并执行代码来调用工具,可大幅降低上下文开销,但调试更复杂。无论哪种方案,仍须控制工具数量。 Too many MCP tools bloat context windows and cause hallucination. Agent-side filtering and MCP-side reduction help, but 'code mode' lets LLMs search and execute code instead of calling tools directly, reducing token usage. However, debugging is harder and sandboxing is needed. Regardless, you still need to manage tool numbers.

engineering.leanix.net · 1 min · Agents · Cloudflare · LLM
by Devin
06:42

OpenAI Agents SDK 新增原生沙箱与模型原生执行框架 The next evolution of the Agents SDK: native sandboxing and harness

The next evolution of the Agents SDK: native sandboxing and harness OpenAI Agents SDK 新增原生沙箱与模型原生执行框架

OpenAI 为 Agents SDK 引入两大能力:一个更贴近模型原生模式的执行框架,让 agent 在多工具、长任务中更可靠;以及原生沙箱执行,提供安全的计算机环境供 agent 读写文件、运行代码。开发者可接入多家沙箱提供商,并通过 Manifest 抽象保持环境可移植。 OpenAI adds native sandbox execution and a more capable model-native harness to the Agents SDK. Agents can now run in controlled compute environments with file I/O, code execution, and tool use. The update includes a Manifest abstraction for portability across sandbox providers and intends to improve reliability on complex tasks.

openai.com · 1 min · Agents · AI · Infra
by