{"id":20932,"date":"2026-10-05T09:41:11","date_gmt":"2026-10-04T22:41:11","guid":{"rendered":"https:\/\/geoffreychen.com\/ai-technology-observation-2026-10-05-07\/"},"modified":"2026-10-05T09:41:11","modified_gmt":"2026-10-04T22:41:11","slug":"ai-technology-observation-2026-10-05-07","status":"publish","type":"post","link":"https:\/\/geoffreychen.com\/zh\/ai-technology-observation-2026-10-05-07\/","title":{"rendered":"AI\u6280\u672f\u89c2\u5bdf\uff5c2026\u5e7410\u67085\u65e5 07\u65f6"},"content":{"rendered":"<\/p>\n

\u672c\u6b21\u89c2\u5bdf\u8986\u76d6\u6fb3\u5927\u5229\u4e9a\u6089\u5c3c\u65f6\u95f42026\u5e7410\u67084\u65e507\u65f608\u5206\u81f310\u67085\u65e507\u65f608\u5206\uff0c\u6536\u5f551\u9879\u5df2\u7ecf\u6b63\u5f0f\u53d1\u5e03\u5e76\u53ef\u6838\u9a8c\u7684AI\u6280\u672f\u53d8\u5316\u3002<\/p>\n

LiteLLM 1.104.0\uff1aAI\u7f51\u5173\u6536\u7d27\u9ed8\u8ba4\u5b89\u5168\u8fb9\u754c<\/p>\n

LiteLLM\u4e8e\u534f\u8c03\u4e16\u754c\u65f610\u67083\u65e522\u65f650\u5206\u3001\u6089\u5c3c\u65f6\u95f410\u67084\u65e509\u65f650\u5206\u53d1\u5e031.104.0\u7a33\u5b9a\u7248\u3002\u5b98\u65b9\u5bb9\u5668\u4ed3\u5e93\u968f\u540e\u5c061.104.0\u3001v1.104.0\u3001main-stable\u548clatest\u6807\u7b7e\u6307\u5411\u540c\u4e00\u955c\u50cf\u6458\u8981\u3002\u8be5\u7248\u672c\u9762\u5411\u7528\u7edf\u4e00\u63a5\u53e3\u8fde\u63a5\u591a\u5bb6\u6a21\u578b\u4f9b\u5e94\u5546\u7684\u5f00\u6e90AI\u7f51\u5173\uff1b\u76f8\u5bf9\u4e8e1.103.0\uff0c\u5b83\u4e0d\u4ec5\u589e\u52a0Claude Opus 5.5\u3001GPT-6\u7cfb\u5217\u7b49\u6a21\u578b\u76ee\u5f55\u548c\u56e2\u961f\u4f18\u5148\u7ea7\u8def\u7531\uff0c\u8fd8\u6539\u53d8\u4e86\u82e5\u5e72\u90e8\u7f72\u4e0e\u8ba4\u8bc1\u7684\u9ed8\u8ba4\u884c\u4e3a\u3002<\/p>\n

\u4ee3\u7406\u670d\u52a1\u5668\u73b0\u5728\u4f1a\u5728\u4e3b\u5bc6\u94a5\u7f3a\u5931\u3001\u4e3a\u7a7a\u6216\u5c5e\u4e8e\u516c\u5f00\u5df2\u77e5\u5f31\u5bc6\u94a5\u65f6\u62d2\u7edd\u542f\u52a8\u3002\u5f00\u53d1\u8005\u4ecd\u63d0\u4f9b\u663e\u5f0f\u7684\u5f31\u5bc6\u94a5\u8986\u76d6\u9009\u9879\uff0c\u4f46\u6587\u6863\u5c06\u5176\u6807\u4e3a\u5371\u9669\u914d\u7f6e\u3002\u6807\u51c6\u8f93\u5165\u8f93\u51fa\u65b9\u5f0f\u7684MCP\u670d\u52a1\u5668\u4e5f\u6539\u4e3a\u9ed8\u8ba4\u5173\u95ed\uff1b\u65e2\u6709\u914d\u7f6e\u4e0d\u4f1a\u542f\u52a8\uff0c\u65b0\u589e\u914d\u7f6e\u4f1a\u88ab\u62d2\u7edd\uff0c\u53ea\u6709\u5728\u8fdb\u7a0b\u73af\u5883\u4e2d\u8bbe\u7f6eLITELLM_ENABLE_MCP_STDIO=true\u540e\u624d\u4f1a\u542f\u7528\u3002\u6570\u636e\u5e93\u521d\u59cb\u5316\u6216\u8fc1\u79fb\u5931\u8d25\u65f6\uff0c\u4ee3\u7406\u5c06\u9000\u51fa\uff0c\u800c\u4e0d\u662f\u7ee7\u7eed\u4f7f\u7528\u53ef\u80fd\u8fc7\u671f\u7684\u6570\u636e\u5e93\u7ed3\u6784\u3002\u8ba4\u8bc1\u5728\u6570\u636e\u5e93\u4e0d\u53ef\u7528\u65f6\u6539\u4e3a\u5173\u95ed\u8bbf\u95ee\uff0c\u9000\u51fa\u64cd\u4f5c\u4f1a\u64a4\u9500\u4f1a\u8bdd\uff1b\u9884\u7b97\u8017\u5c3d\u5219\u8fd4\u56deHTTP 422\uff0c\u4ee5\u533a\u522b\u4e8e\u9650\u6d41\u4f7f\u7528\u7684429\u72b6\u6001\u7801\u3002<\/p>\n

LiteLLM\u540c\u65f6\u4e3aDocker\u955c\u50cf\u63d0\u4f9bCosign\u7b7e\u540d\uff0c\u5e76\u5728\u53d1\u5e03\u9875\u7ed9\u51fa\u6309\u955c\u50cf\u6458\u8981\u6838\u9a8c\u7b7e\u540d\u7684\u547d\u4ee4\u3002\u5b98\u65b9\u53d1\u5e03\u8bf4\u660e\u8fd8\u5217\u51fa\u6a21\u578b\u652f\u6301\u3001\u8def\u7531\u3001\u538b\u7f29\u4e0a\u4e0b\u6587\u548c\u4f9b\u5e94\u5546\u4eb2\u548c\u6027\u7b49\u53d8\u5316\u3002\u8fd9\u4e9b\u529f\u80fd\u548c\u5b89\u5168\u884c\u4e3a\u6765\u81ea\u5f00\u53d1\u8005\u7684\u53d1\u5e03\u8bf4\u660e\u4e0e\u53ef\u68c0\u67e5\u7684\u8f6f\u4ef6\u5305\u72b6\u6001\uff1b\u76ee\u524d\u6ca1\u6709\u516c\u5f00\u7684\u72ec\u7acb\u751f\u4ea7\u73af\u5883\u8bc4\u6d4b\uff0c\u80fd\u591f\u91cf\u5316\u5347\u7ea7\u540e\u7684\u53ef\u9760\u6027\u3001\u5b89\u5168\u6548\u679c\u6216\u6027\u80fd\u5f00\u9500\u3002\u4f9d\u8d56\u5f31\u4e3b\u5bc6\u94a5\u3001stdio MCP\u6216\u65e7\u6570\u636e\u5e93\u542f\u52a8\u884c\u4e3a\u7684\u73b0\u6709\u90e8\u7f72\uff0c\u9700\u8981\u5728\u5347\u7ea7\u524d\u8c03\u6574\u914d\u7f6e\u3002<\/p>\n

PyPI\u57282026\u5e744\u67082\u65e5\u66fe\u53d1\u5e03LiteLLM\u4f9b\u5e94\u94fe\u653b\u51fb\u4e8b\u4ef6\u62a5\u544a\uff0c\u8bb0\u5f55\u6076\u610f\u7248\u672c\u8fdb\u5165\u5305\u751f\u6001\u7684\u7ecf\u8fc7\u3002\u8be5\u62a5\u544a\u53ef\u7528\u4e8e\u8bf4\u660e\u7f51\u5173\u8f6f\u4ef6\u7684\u4f9b\u5e94\u94fe\u98ce\u9669\u80cc\u666f\uff0c\u4f46\u6ca1\u6709\u8bc1\u636e\u8bf4\u660e\u672c\u6b211.104.0\u7684\u5168\u90e8\u6539\u52a8\u7531\u8be5\u4e8b\u4ef6\u76f4\u63a5\u5f15\u8d77\uff0c\u56e0\u6b64\u4e24\u8005\u4e0d\u4f5c\u56e0\u679c\u5f52\u56e0\u3002<\/p>\n

\u6765\u6e90<\/p>\n

https:\/\/github.com\/BerriAI\/litellm\/releases\/tag\/v1.104.0<\/a><\/p>\n

https:\/\/docs.litellm.ai\/release_notes\/v1.104.0\/v1-104-0<\/a><\/p>\n

https:\/\/blog.pypi.org\/posts\/2026-04-02-incident-report-litellm-telnyx-supply-chain-attack\/<\/a><\/p>\n

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