{"id":13285,"date":"2025-09-25T14:56:48","date_gmt":"2025-09-25T06:56:48","guid":{"rendered":"https:\/\/ihower.tw\/blog\/?p=13285"},"modified":"2025-09-25T14:59:51","modified_gmt":"2025-09-25T06:59:51","slug":"aie-ai-evals-and-mcp-registry","status":"publish","type":"post","link":"https:\/\/ihower.tw\/blog\/13285-aie-ai-evals-and-mcp-registry","title":{"rendered":"\u611b\u597d AI Engineer \u96fb\u5b50\u5831 \ud83d\ude80 AI Evals \u5927\u8faf\u8ad6\u548c MCP Registry \u767c\u5e03 #32"},"content":{"rendered":"\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><a href=\"https:\/\/ihower.tw\/opt-in\/gai\">\u6b61\u8fce\u8a02\u95b1 \ud83d\udcec<\/a>&nbsp;\u611b\u597d AI Engineer \u96fb\u5b50\u5831&nbsp;<a href=\"https:\/\/ihower.tw\/blog\/category\/aie\">\u904e\u5f80\u671f\u6578\u9ede\u9019<\/a>&nbsp;\ud83d\udcda<\/p>\n<\/blockquote>\n\n\n\n<p>Hello! \u5404\u4f4d AI \u958b\u767c\u8005\u5927\u5bb6\u597d \ud83d\udc4b<\/p>\n\n\n\n<p>\u8b8a\u6210\u6708\u520a\u4e86\uff0c\u9019\u671f\u5167\u5bb9\u7e7c\u7e8c\u6df1\u5165\u63a2\u8a0e AI \u5de5\u7a0b\u7684\u6838\u5fc3: \u8a55\u4f30\u3001Context Engineering\u3001Agent \u548c RAG\u3002<\/p>\n\n\n\n<!--more-->\n\n\n\n<h3 class=\"wp-block-heading\">\ud83d\ude80 <a href=\"https:\/\/ihower.tw\/blog\/13221-ai-evals-debate\">AI Evals \u5927\u8faf\u8ad6: \u5f9e Claude Code \u8a2a\u8ac7\u5f15\u767c\u7684\u53cd\u601d<\/a><\/h3>\n\n\n\n<p>\u4f60\u77e5\u9053\u55ce? Claude Code \u6c92\u6709\u505a\u7522\u54c1\u5c64\u7d1a\u7684\u7cfb\u7d71\u5316 Evals\uff0c\u662f\u9760 Vibe \u611f\u89ba\u958b\u767c\u7684!<br>\u9019\u5834\u8faf\u8ad6\u59cb\u65bc Anthropic Claude Code \u5275\u59cb\u4eba Boris \u5728\u8a2a\u8ac7\u4e2d\u7684\u5766\u767d\u2026<\/p>\n\n\n\n<p>\u5168\u6587\u5728\u6211<a href=\"https:\/\/ihower.tw\/blog\/13221-ai-evals-debate\">\u90e8\u843d\u683c<\/a>\uff0c\u66f4\u591a\u8a0e\u8ad6\u5728\u6211 <a href=\"https:\/\/www.facebook.com\/ihower\/posts\/10162931627873971\">Facebook \u8cbc\u6587<\/a>\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83e\udded <a href=\"https:\/\/ihower.tw\/blog\/13270-official-mcp-registry\">\u5b98\u65b9 MCP Registry \u767c\u5e03<\/a><\/h3>\n\n\n\n<p>\u8fd1\u671f\u770b\u5230 MCP \u5b98\u65b9\u51fa\u4e86\u4e00\u500b Registry\uff0cGitHub \u4e5f\u51fa\u4e86\u4e00\u500b Registry\uff0c\u9019\u662f\u5728\u6253\u67b6\u55ce\uff1f<br>\u4e0d\u662f\u7684\uff0c\u8b93\u6211\u89e3\u91cb\u4e00\u4e0b MCP Registry \u7684\u67b6\u69cb\u2026<\/p>\n\n\n\n<p>\u5168\u6587\u5728\u6211<a href=\"https:\/\/ihower.tw\/blog\/13270-official-mcp-registry\">\u90e8\u843d\u683c<\/a>\uff0c\u66f4\u591a\u8a0e\u8ad6\u5728\u6211 <a href=\"https:\/\/www.facebook.com\/ihower\/posts\/10162940356603971\">Facebook \u8cbc\u6587<\/a>\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83e\udd16 <a href=\"https:\/\/www.anthropic.com\/engineering\/writing-tools-for-agents\">Writing effective tools for agents \u2014 with agents<\/a><\/h3>\n\n\n\n<p>Anthropic \u5206\u4eab\u4e86\u4ed6\u5011\u5982\u4f55\u6700\u4f73\u5316 AI Agent \u5de5\u5177\u7684\u5be6\u6230\u7d93\u9a57\uff0c\u5148\u5feb\u901f\u505a\u500b\u539f\u578b\uff0c\u7136\u5f8c\u5efa\u7acb\u8a55\u4f30\u7cfb\u7d71\u4f86\u6e2c\u91cf\u5de5\u5177\u6548\u80fd\u3002<\/p>\n\n\n\n<p>\u5de5\u5177\u8a2d\u8a08\u7684\u539f\u5247\u5247\u5305\u62ec:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u5c11\u5373\u662f\u591a: \u4e0d\u662f\u5de5\u5177\u8d8a\u591a\u8d8a\u597d\u3002\u8207\u5176\u5305\u88dd\u73fe\u6210 API endpoint \u6210\u70ba\u5de5\u5177\uff0c\u4e0d\u5982\u8a2d\u8a08\u5e7e\u500b\u7cbe\u5fc3\u6574\u5408\u7684\u9ad8\u968e\u5de5\u5177\u3002\u4f8b\u5982\u4e0d\u8981\u5206\u958b\u505a list_users\u3001list_events\u3001create_event\uff0c\u76f4\u63a5\u505a\u4e00\u500b schedule_event \u641e\u5b9a\u6240\u6709\u4e8b<\/li>\n\n\n\n<li>\u547d\u540d\u7a7a\u9593\u5f88\u91cd\u8981: \u7576\u5de5\u5177\u8b8a\u591a\u6642\uff0c\u6e05\u695a\u7684\u547d\u540d\u898f\u5247\u80fd\u5e6b Agent \u9078\u5c0d\u5de5\u5177\u3002\u50cf asana_search vs jira_search \u9019\u6a23\u7684\u524d\u7db4\u547d\u540d\uff0c\u6548\u679c\u6bd4\u4f60\u60f3\u50cf\u7684\u5927<\/li>\n\n\n\n<li>\u8fd4\u56de\u6709\u610f\u7fa9\u7684\u8cc7\u8a0a: Agent \u8655\u7406\u81ea\u7136\u8a9e\u8a00\u6bd4\u8655\u7406\u4f4e\u968e\u7684\u6280\u8853 id \u66f4\u5728\u884c\uff0c\u4f7f\u7528\u9019\u7a2e\u4eba\u985e\u4e5f\u80fd\u770b\u61c2\u7684\u683c\u5f0f\uff0c\u80fd\u5927\u5e45\u6e1b\u5c11\u5e7b\u89ba<\/li>\n\n\n\n<li>Token \u6548\u7387\u6700\u4f73\u5316: \u5be6\u4f5c\u5206\u9801\u3001\u904e\u6ffe\u3001\u622a\u65b7\u7b49\u6a5f\u5236\uff0c\u7d66\u5de5\u5177\u52a0\u4e0a response_format \u53c3\u6578\uff0c\u8b93 Agent \u9078\u64c7\u8981 &#8220;concise&#8221; \u9084\u662f &#8220;detailed&#8221; \u7684\u56de\u61c9<\/li>\n\n\n\n<li>\u932f\u8aa4\u8a0a\u606f\u8981\u6709\u5e6b\u52a9: \u8207\u5176\u4e1f\u51fa &#8220;Error 404&#8243;\uff0c\u4e0d\u5982\u544a\u8a34 Agent: &#8220;\u627e\u4e0d\u5230\u8a72\u7528\u6236\uff0c\u8acb\u6aa2\u67e5\u62fc\u5beb\u6216\u4f7f\u7528 search_user \u5de5\u5177\u5148\u641c\u5c0b&#8221;<\/li>\n\n\n\n<li>\u5de5\u5177\u63cf\u8ff0: \u9019\u500b\u4e5f\u9700\u8981\u7528 Prompt Engineering \u9032\u884c\u6700\u4f73\u5316<\/li>\n<\/ul>\n\n\n\n<p>\u53e6\u5916\u9084\u6709\u4e00\u500b\u91cd\u9ede\u662f\u4ed6\u5011\u662f\u5982\u4f55\u6700\u4f73\u5316 prompt \u7684? \u4ed6\u5011\u5206\u4eab\u4e86\u4ed6\u5011\u7684 <a href=\"https:\/\/github.com\/anthropics\/claude-cookbooks\/blob\/main\/tool_evaluation\/tool_evaluation.ipynb\">tool evaluation cookbook<\/a> \u8a55\u4f30\u7a0b\u5f0f\u78bc\u3002\u5148\u6e96\u5099 dataset\uff0c\u7136\u5f8c\u7528\u9019\u500b eval \u53bb\u6279\u6b21\u8dd1\u3002\u9019\u6703\u8a55\u4f30\u4f60\u7684\u5de5\u5177\u63cf\u8ff0\uff0c\u4e26\u7d66\u51fa\u6458\u8981\u548c\u56de\u994b\uff0c\u4f60\u518d\u4f9d\u6b64\u56de\u994b\u53bb\u6539\u9032\u4f60\u7684\u5de5\u5177\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83d\udcca <a href=\"https:\/\/axk51013.medium.com\/llm-%E5%B0%88%E6%AC%84-%E9%80%B2%E9%9A%8E-context-engineering-kv-cache-centric-llm-%E6%87%89%E7%94%A8%E8%A8%AD%E8%A8%88-ee70eb331983\">\u9032\u968e context engineering\uff1aKV cache centric LLM \u61c9\u7528\u8a2d\u8a08<\/a><\/h3>\n\n\n\n<p>\u770b\u5230\u8d85\u6df1\u5165\u7684 KV cache \u6700\u4f73\u5316\u6587\u7ae0\uff0c\u4f5c\u8005\u5f9e Manus \u5718\u968a\u7684 Context Engineering \u6587\u7ae0\u51fa\u767c\uff0c\u6df1\u5165\u63a2\u8a0e\u5982\u4f55\u7528 KV cache centric \u7684\u601d\u7dad\u4f86\u8a2d\u8a08 LLM \u61c9\u7528\uff0c\u4e0d\u53ea\u80fd\u5927\u5e45\u7bc0\u7701\u6210\u672c\uff0c\u4e5f\u80fd\u63d0\u5347\u7528\u6236\u9ad4\u9a57\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83c\udfd7\ufe0f <a href=\"https:\/\/okigu.com\/cost-control-guide\">Cost Control: Scaling AI Without Going Broke<\/a><\/h3>\n\n\n\n<p>AI \u6210\u672c\u63a7\u5236\u7684\u5be6\u6230\u6307\u5357\u3002\u904e\u53bb\u8edf\u9ad4\u7684\u904b\u7b97\u6210\u672c\u53ef\u5ffd\u7565\uff0c\u4f46 GenAI \u6642\u4ee3\u5b8c\u5168\u7ffb\u8f49\uff1a\u6a21\u578b\u662f\u4f9d token \u8a08\u8cbb\uff0c\u96a8\u8457\u4f7f\u7528\u91cf\u589e\u9577\uff0c\u6210\u672c\u53ef\u80fd\u7206\u70b8\u6027\u589e\u52a0\u3002<\/p>\n\n\n\n<p>\u6587\u7ae0\u63d0\u51fa\u7684\u6210\u672c\u6700\u4f73\u5316\u6d41\u7a0b: \u5148\u8b49\u660e\u50f9\u503c\u548c\u54c1\u8cea \u2192 \u56fa\u5b9a\u529f\u80fd\u548c\u54c1\u8cea\u57fa\u6e96 \u2192 \u518d\u958b\u59cb\u6700\u4f73\u5316\u6210\u672c\u3002\u800c\u4e0d\u662f\u904e\u65e9\u512a\u5316\u6210\u672c\uff0c\u7d50\u679c\u529f\u80fd\u9084\u6c92\u505a\u597d\u5c31\u5148\u628a\u81ea\u5df1\u641e\u6b7b\u4e86\u3002<\/p>\n\n\n\n<p>\u516b\u7a2e\u964d\u4f4e\u6210\u672c\u7684\u7b56\u7565\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u6a21\u578b\u9078\u64c7(2-10\u500d\u7701): \u958b\u767c\u6642\u7528\u6700\u5f37\u7684\u6a21\u578b\u5feb\u901f\u9a57\u8b49\u53ef\u884c\u6027\uff0c\u4e0a\u7dda\u524d\u7cfb\u7d71\u6027\u6e2c\u8a66\u66f4\u5c0f\u66f4\u4fbf\u5b9c\u7684\u6a21\u578b\u3002\u5f88\u591a\u5834\u666f\u5176\u5be6\u4e0d\u9700\u8981\u6700\u5f37\u6a21\u578b<\/li>\n\n\n\n<li>Prompt \u5de5\u7a0b (1.5-4\u500d\u7701): \u522a\u9664\u5197\u9918\u6307\u4ee4\u3001\u58d3\u7e2e\u80cc\u666f\u8cc7\u6599<\/li>\n\n\n\n<li>\u7cbe\u6e96\u6aa2\u7d22 (2-6\u500d\u7701): RAG \u7cfb\u7d71\u5e38\u898b\u7684\u932f\u8aa4\u662f\u585e\u592a\u591a\u4e0d\u76f8\u95dc\u7684\u5167\u5bb9\u7d66 LLM\u3002\u8abf\u6574\u76f8\u4f3c\u5ea6\u9580\u6abb\u3001\u53ea\u7d66\u5fc5\u8981\u7684\u8cc7\u8a0a<\/li>\n\n\n\n<li>\u5de5\u4f5c\u6d41\u5206\u89e3 (1.5-5\u500d\u7701): \u5225\u7528\u4e00\u500b\u8d85\u5927 prompt \u505a\u6240\u6709\u4e8b\uff0c\u62c6\u6210 workflow: \u7c21\u55ae\u4efb\u52d9\u7528\u4fbf\u5b9c\u6a21\u578b\uff0c\u8907\u96dc\u63a8\u7406\u624d\u7528\u8cb4\u7684\uff0c\u4e2d\u9593\u7d50\u679c\u8003\u616e\u5feb\u53d6<\/li>\n\n\n\n<li>Pre-processing \u9810\u8655\u7406 (3-20\u500d\u7701): \u4e8b\u5148\u8dd1\u597d Embedding\u3001\u6458\u8981\u7b49\u5148\u5b58\u8d77\u4f86\uff0c\u4e0d\u8981\u6bcf\u6b21\u8acb\u6c42\u90fd\u91cd\u7b97<\/li>\n\n\n\n<li>Batching \u6279\u6b21\u8655\u7406 (2\u500d\u7701): OpenAI \u7b49\u5404\u5bb6\u73fe\u5728\u90fd\u6709 Batch API \u6709 50% \u6298\u6263\uff0c\u9069\u5408\u975e\u5373\u6642\u7684\u5927\u91cf\u8655\u7406<\/li>\n\n\n\n<li>Context \u5feb\u53d6 (1.2-2\u500d\u7701): \u5229\u7528 LLM \u4f9b\u61c9\u5546\u7684 prompt caching \u529f\u80fd\uff0c\u91cd\u8907\u7684 prefix prompt \u50f9\u683c\u53ea\u6709\u539f\u5148\u4e00\u6210<\/li>\n\n\n\n<li>\u5546\u696d\u7b56\u7565 (\u6700\u9ad8 50% \u7701): \u53bb\u627e LLM \u4f9b\u61c9\u5546\u8ac7\u627f\u8afe\u7528\u91cf\uff0c\u53ef\u4ee5\u6709\u6298\u6263\uff0c\u6216\u662f\u6708\u82b1\u8cbb\u8d85\u904e 1-2 \u842c\u7f8e\u91d1\u6642\u8003\u616e\u81ea\u5df1\u8dd1\u958b\u6e90\u6a21\u578b<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83e\udde9 <a href=\"https:\/\/thinkingmachines.ai\/blog\/defeating-nondeterminism-in-llm-inference\/\">Defeating Nondeterminism in LLM Inference<\/a><\/h3>\n\n\n\n<p>OpenAI \u524d CTO Mira Murati \u5728\u65b0\u5275 Thinking Machines \u767c\u8868\u7684\u9996\u7bc7\u6587\u7ae0\uff0c\u63a2\u8a0e LLM \u63a8\u8ad6\u4e2d\u7684\u975e\u78ba\u5b9a\u6027\u554f\u984c\uff1a\u70ba\u4ec0\u9ebc\u6eab\u5ea6\u8a2d 0\uff0c\u7d50\u679c\u4ecd\u7136\u4e0d\u540c?<\/p>\n\n\n\n<p>\u7c21\u55ae\u8aaa\uff0c\u5c31\u662f LLM inference server \u4e2d\uff0c\u662f\u63a1\u7528 Batch \u548c\u5176\u4ed6\u5e73\u884c\u8acb\u6c42\u4e00\u8d77\u63a8\u8ad6\u7684\uff0c\u800c\u4e0d\u540c Batching \u5f62\u72c0\u5c31\u6703\u6709\u4e0d\u540c\u7d50\u679c\uff0c\u53e6\u4e00\u500b\u539f\u56e0\u662f\u6d6e\u9ede\u6578\u76f8\u52a0\u6642\uff0c\u4e0d\u540c\u9806\u5e8f\u6703\u6709\u4e0d\u540c\u7d50\u679c\u3002<\/p>\n\n\n\n<p>\u5728 OpenAI \u6587\u4ef6\u4e2d\uff0c\u6709\u63d0\u5230\u5982\u4f55\u505a <a href=\"https:\/\/platform.openai.com\/docs\/advanced-usage\/reproducible-outputs\">Reproducible outputs<\/a> \u53ef\u91cd\u73fe\u7684\u8f38\u51fa\u3002<\/p>\n\n\n\n<p>\u4e0d\u904e\u5462\uff0c\u6211\u73fe\u5728\u8a8d\u70ba\u5c0d AI \u61c9\u7528\u5de5\u7a0b\u5e2b\u4e0d\u592a\u91cd\u8981\u4e86\u3002\u4e00\u4f86\u65b0\u7684\u63a8\u7406\u6a21\u578b\u4e5f\u4e0d\u5141\u8a31\u6211\u5011\u8a2d\u5b9a\u6eab\u5ea6\u53c3\u6578\u4e86\uff0c\u6240\u4ee5\u6a6b\u8c4e\u90fd\u6709\u4e0d\u78ba\u5b9a\u6027\uff0c\u4e8c\u4f86\u5982\u679c\u4f60\u771f\u7684\u60f3\u8981\uff0c\u90a3\u4f60\u53ef\u4ee5\u5be6\u4f5c HTTP \u5c64\u7684\u5feb\u53d6\uff1a\u4f60\u5c31\u628a\u6574\u500b HTTP request\/response \u90fd\u8a18\u9304\u4e0b\u4f86\uff0c\u53ea\u8981\u78b0\u5230\u4e00\u6a23\u7684 request \u53c3\u6578\uff0c\u5c31\u91cd\u64ad\u4e4b\u524d\u7684 response \u5373\u53ef\uff0c\u6839\u672c\u4e0d\u9700\u8981\u518d\u53bb\u554f\u6a21\u578b\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83c\udf10 <a href=\"https:\/\/openai.com\/index\/why-language-models-hallucinate\/\">Why language models hallucinate<\/a><\/h3>\n\n\n\n<p>OpenAI \u767c\u8868\u4e86\u4e00\u7bc7\u7814\u7a76\uff0c\u89e3\u91cb\u4e86 LLM \u70ba\u4ec0\u9ebc\u6703\u5982\u6b64\u81ea\u4fe1\u5730\u7522\u751f\u932f\u8aa4\u7b54\u6848\u3002\u4ed6\u5011\u8a8d\u70ba\u548c\u6a21\u578b\u8a13\u7df4\u6642\u7684\u8a55\u4f30\u65b9\u5f0f\u6709\u95dc\u3002<\/p>\n\n\n\n<p>\u73fe\u5728\u7684\u8a55\u4f30\u65b9\u6cd5\u7528\u4e86\u932f\u8aa4\u7684\u8a98\u56e0\u3002\u5c31\u50cf\u9078\u64c7\u984c\u8003\u8a66\uff0c\u4e82\u731c\u53ef\u80fd\u5e78\u904b\u5f97\u5206\uff0c\u4f46\u7559\u7a7a\u4e00\u5b9a\u96f6\u5206\u3002\u7576\u6a21\u578b\u53ea\u6839\u64da\u300c\u6e96\u78ba\u7387\u300d\u8a55\u5206\u6642\uff0c\u7b49\u65bc\u9f13\u52f5\u5b83\u731c\u6e2c\u800c\u4e0d\u662f\u8aa0\u5be6\u8aaa\u300c\u6211\u4e0d\u77e5\u9053\u300d\u3002<br>\u89e3\u6c7a\u65b9\u6848\u5c31\u662f: \u7b54\u932f\u8981\u6263\u66f4\u591a\u5206\uff0c\u9069\u7576\u8868\u9054\u4e0d\u78ba\u5b9a\u6642\u7d66\u90e8\u5206\u5206\u6578\u3002\u5c31\u50cf\u6709\u4e9b\u8003\u8a66\u7b54\u932f\u6703\u5012\u6263\uff0c\u7559\u7a7a\u4e0d\u7b54\u53cd\u800c\u80fd\u5f97\u90e8\u5206\u5206\u6578\u3002\u76ee\u7684\u5c31\u662f\u8a13\u7df4 AI \u8981\u5b78\u6703\u8aaa\u300c\u6211\u4e0d\u77e5\u9053\u300d\uff0c\u800c\u4e0d\u53ea\u662f\u5b78\u6703\u66f4\u591a\u77e5\u8b58\u3002<\/p>\n\n\n\n<p>Galileo \u7684\u9019\u7bc7 <a href=\"https:\/\/galileo.ai\/blog\/why-language-models-hallucinate\">Understanding Why Language Models Hallucinate?<\/a> \u53ef\u4ee5\u4f5c\u70ba\u66f4\u597d\u7684\u88dc\u5145\u5165\u9580\u95b1\u8b80\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83d\udee0\ufe0f <a href=\"https:\/\/blog.quotientai.co\/how-to-detect-hallucinations-in-retrieval-augmented-systems-a-primer\/\">How to Detect Hallucinations in Retrieval Augmented Systems: A Primer<\/a><\/h3>\n\n\n\n<p>\u770b\u4e86\u4e0a\u8ff0\u8cc7\u6599\uff0c\u5927\u5bb6\u53ef\u80fd\u6703\u4ee5\u70ba\u6a21\u578b\u5e7b\u89ba\u5e38\u767c\u751f\uff0c\u9019\u7bc7\u6587\u7ae0\u5340\u5206\u4e86\u5169\u7a2e\u5e7b\u89ba\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u5167\u5728\u6027(Intrinsic): \u6c92\u7d66\u4efb\u4f55 context\uff0c\u6a21\u578b\u5c31\u778e\u63b0<\/li>\n\n\n\n<li>\u5916\u5728\u6027(Extrinsic): \u660e\u660e\u63d0\u4f9b\u4e86\u6b63\u78ba\u7684 context \u53c3\u8003\u8cc7\u6599\uff0c\u6a21\u578b\u9084\u662f\u8b1b\u932f<\/li>\n<\/ol>\n\n\n\n<p>\u9019\u7bc7\u6587\u7ae0\u6307\u51fa\uff0c\u5728 production \u74b0\u5883\u4e2d\uff0c\u5f8c\u8005\u624d\u662f\u6211\u5011\u5de5\u7a0b\u5e2b\u6700\u5e38\u78b0\u5230\u7684\u554f\u984c\uff0c\u800c\u4e14\u4f60\u4e0d\u9700\u8981 ground truth \u8cc7\u6599\u96c6\u5c31\u80fd\u5075\u6e2c\u5230!<\/p>\n\n\n\n<p>\u5075\u6e2c\u65b9\u5f0f\u5176\u5be6\u5f88\u7c21\u55ae\uff0c\u5169\u6b65\u9a5f:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u6aa2\u7d22\u662f\u5426\u6b63\u78ba? \u6aa2\u7d22\u56de\u4f86\u7684\u6587\u4ef6\u6709\u5305\u542b\u56de\u7b54\u554f\u984c\u6240\u9700\u7684\u8cc7\u8a0a\u55ce?<\/li>\n\n\n\n<li>\u751f\u6210\u662f\u5426\u6b63\u78ba? \u751f\u6210\u7684\u7b54\u6848\u6709\u6c92\u6709\u300c\u8d85\u51fa\u300d\u6aa2\u7d22\u6587\u4ef6\u7684\u5167\u5bb9?<\/li>\n<\/ol>\n\n\n\n<p>\u5982\u679c\u6aa2\u7d22\u6b63\u78ba\u4f46\u751f\u6210\u4e0d\u6b63\u78ba\uff0c\u5c31\u6293\u5230\u5e7b\u89ba\u4e86\u3002\u6a21\u578b\u6191\u7a7a\u634f\u9020\u4e86 context \u88e1\u6c92\u6709\u7684\u5167\u5bb9\u3002<br>\u9019\u500b\u65b9\u6cd5\u4e0d\u9700\u8981\u77e5\u9053\u300c\u6b63\u78ba\u7b54\u6848\u300d\u662f\u4ec0\u9ebc\uff0c\u53ea\u8981\u6bd4\u5c0d\u751f\u6210\u5167\u5bb9\u662f\u5426\u8d85\u51fa\u6aa2\u7d22\u6587\u4ef6\u7684\u7bc4\u570d\u5c31\u597d\u3002\u9019\u8b93\u5e7b\u89ba\u5075\u6e2c\u8b8a\u5f97\u5be6\u969b\u53ef\u884c\uff0c\u4e0d\u7528\u4eba\u5de5\u6a19\u8a3b\u6216\u5b8c\u6574\u7684 ground truth \u8cc7\u6599\u96c6\u3002<\/p>\n\n\n\n<p>\u52a0\u6620\u9019\u7bc7\u6587\u7ae0\u7684\u6f14\u8b1b\u7248\u672c: <a href=\"https:\/\/maven.com\/p\/285276\/how-you-catch-production-hallucinations-in-real-time\">How You Catch Production Hallucinations in Real Time<\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83d\udcc9 <a href=\"https:\/\/www.leoniemonigatti.com\/blog\/what_i_learned.html\">37 Things I Learned About Information Retrieval in Two Years at a Vector Database Company<\/a><\/h3>\n\n\n\n<p>\u5411\u91cf\u8cc7\u6599\u5eab Weaviate \u7684\u5de5\u7a0b\u5e2b Leonie Monigatti\uff0c\u5206\u4eab\u4e86\u5169\u5e74\u4f86\u5b78\u5230\u7684 37 \u4ef6\u8cc7\u8a0a\u6aa2\u7d22\u5fc3\u5f97\u3002<br>\u6211\u6311\u5e7e\u500b\u91cd\u9ede\u5206\u4eab:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>BM25 \u4ecd\u662f\u5f37\u529b\u57fa\u6e96: \u5225\u6025\u8457\u8df3\u5230\u5411\u91cf\u641c\u5c0b\uff0c\u5148\u5f9e\u7c21\u55ae\u7684 BM25 \u95dc\u9375\u5b57\u641c\u5c0b\u958b\u59cb\u505a<br>\u7de8\u6309: \u56e0\u70ba\u592a\u591a\u4eba\u6c92\u7528\u904e\u5168\u6587\u641c\u5c0b\u5f15\u64ce\uff0c\u5c31\u76f4\u63a5\u62ff\u5957 Naive RAG \u65b9\u6848\u4f86\u7528\uff0c\u4e0d\u6703 tune \u7684\u8a71\u7d50\u679c\u4e0d\u4e00\u5b9a\u6bd4\u8f03\u597d<\/li>\n\n\n\n<li>\u5411\u91cf\u8cc7\u6599\u5eab\u7684\u4e3b\u8981\u61c9\u7528\u4e0d\u662f\u751f\u6210\u5f0f AI\uff0c\u800c\u662f\u641c\u5c0b: \u4f46\u70ba LLM \u627e\u76f8\u95dc\u4e0a\u4e0b\u6587\u672c\u8cea\u4e0a\u5c31\u662f\u300c\u641c\u5c0b\u300d\uff0c\u6240\u4ee5\u5411\u91cf\u8cc7\u6599\u5eab\u548c LLM \u624d\u6703\u50cf\u9905\u4e7e\u914d\u725b\u5976\u4e00\u6a23\u5408\u62cd<\/li>\n\n\n\n<li>\u53bb\u54ea\u627e\u597d\u7684 Embedding \u6a21\u578b: MTEB (Massive Text Embedding Benchmark) \u662f\u9996\u9078\uff0c\u6db5\u84cb\u5206\u985e\u3001\u805a\u985e\u3001\u6aa2\u7d22\u7b49\u4efb\u52d9\u3002\u5c08\u6ce8\u8cc7\u8a0a\u6aa2\u7d22\u770b BEIR\uff0c\u591a\u8a9e\u8a00\u770b MMTEB<br>\u7de8\u6309: \u7e41\u9ad4\u4e2d\u6587\u8acb\u627e\u770b\u6211\u7684\u8a55\u6e2c: \u4f7f\u7528\u7e41\u9ad4\u4e2d\u6587\u8a55\u6e2c\u5404\u5bb6 Embedding \u6a21\u578b\u7684\u6aa2\u7d22\u80fd\u529b<\/li>\n\n\n\n<li>\u842c\u7269\u7686\u53ef Embed: \u4e0d\u53ea\u6587\u5b57\uff0c\u5716\u7247\u3001PDF\uff08\u50cf ColPali\uff09\u3001\u5716\u8b5c\u90fd\u80fd\u5d4c\u5165\u3002\u9019\u8868\u793a\u4f60\u53ef\u4ee5\u5c0d\u591a\u6a21\u614b\u8cc7\u6599\u505a\u5411\u91cf\u641c\u5c0b<br>\u7de8\u6309: \u4f8b\u5982 Cohere Embed 4 \u6a21\u578b<\/li>\n\n\n\n<li>\u5411\u91cf\u7dad\u5ea6\u7684\u7d93\u6fdf\u5b78: \u9078 1536 \u7dad\u5ea6 vs 768 \u7dad\u5ea6\uff0c\u5132\u5b58\u6210\u672c\u76f4\u63a5\u7ffb\u500d\u3002\u505a\u500b\u7c21\u55ae\u7684 &#8220;chat with your docs&#8221; \u771f\u7684\u9700\u8981 1536 \u7dad\u55ce\uff1f\u6709\u4e9b\u6a21\u578b\u7528 Matryoshka \u6280\u8853\u53ef\u4ee5\u52d5\u614b\u7e2e\u77ed\u5411\u91cf<br>\u7de8\u6309: \u6211\u4e5f\u6709\u5beb\u904e\u4e00\u7bc7\u6587\u7ae0: \u4fc4\u7f85\u65af\u5957\u5a03(Matryoshka)\u5d4c\u5165\u6a21\u578b\u7c21\u4ecb<\/li>\n\n\n\n<li>\u76f8\u4f3c\u4e0d\u7b49\u65bc\u76f8\u95dc: \u300c\u5982\u4f55\u4fee\u7406\u6c34\u9f8d\u982d\u300d\u548c\u300c\u54ea\u88e1\u8cb7\u5eda\u623f\u6c34\u9f8d\u982d\u300d\u5728\u5411\u91cf\u7a7a\u9593\u53ef\u80fd\u5f88\u76f8\u4f3c\uff0c\u4f46\u5c0d\u4f7f\u7528\u8005\u4f86\u8aaa\u6839\u672c\u4e0d\u76f8\u95dc<\/li>\n\n\n\n<li>Cosine \u7684 similarity \u548c distance \u7b97\u6cd5: \u76f8\u4f3c\u5ea6 1 \u8868\u793a\u5b8c\u5168\u76f8\u540c\uff0c\u8ddd\u96e2\u5c31\u662f 0\u3002\u7528\u6b63\u898f\u5316\u5411\u91cf\u6642\uff0ccosine similarity \u548c dot product \u6578\u5b78\u4e0a\u76f8\u540c\uff0c\u4f46\u7528 dot product \u8a08\u7b97\u66f4\u6709\u6548\u7387<br>\u7de8\u6309: \u901a\u5e38 Embedding API \u56de\u50b3\u7684\u5411\u91cf\u5df2\u7d93\u6b63\u898f\u5316\uff0c\u4f8b\u5982 OpenAI<\/li>\n\n\n\n<li>RAG \u7684 R \u4e0d\u662f\u6307\u5411\u91cf\u641c\u5c0b: \u662f Retrieval (\u6aa2\u7d22)\uff0c\u6aa2\u7d22\u53ef\u4ee5\u7528\u5f88\u591a\u65b9\u5f0f\u5be6\u73fe<\/li>\n\n\n\n<li>\u5411\u91cf\u641c\u5c0b\u53ea\u662f\u5de5\u5177\u7bb1\u88e1\u7684\u4e00\u500b\u5de5\u5177: \u9084\u6709\u95dc\u9375\u5b57\u641c\u5c0b\u3001\u904e\u6ffe\u3001\u91cd\u6392\u5e8f\u3002\u8981\u505a\u51fa\u597d\u6771\u897f\uff0c\u9700\u8981\u7d44\u5408\u4e0d\u540c\u5de5\u5177<\/li>\n\n\n\n<li>\u4f55\u6642\u7528\u95dc\u9375\u5b57 vs \u5411\u91cf\u641c\u5c0b: \u9700\u8981\u8a9e\u610f\u540c\u7fa9\u8a5e\u5339\u914d\uff08\u7c89\u5f69\u8272 vs \u6dfa\u7c89\u7d05\uff09\u7528\u5411\u91cf\uff1b\u9700\u8981\u7cbe\u78ba\u95dc\u9375\u5b57\uff08A\u5b57\u88d9\u3001\u8377\u8449\u908a\u6d0b\u88dd\uff09\u7528\u95dc\u9375\u5b57\uff1b\u5169\u8005\u90fd\u8981\u5c31\u7528 Hybrid Search<\/li>\n\n\n\n<li>\u904e\u6ffe(filter)\u4e0d\u4e00\u5b9a\u8b93\u5411\u91cf\u641c\u5c0b\u66f4\u5feb: \u76f4\u89ba\u4e0a\u904e\u6ffe\u6e1b\u5c11\u5019\u9078\u6578\u61c9\u8a72\u66f4\u5feb\uff0c\u4f46\u5be6\u969b\u4e0a pre-filtering \u53ef\u80fd\u7834\u58de HNSW \u7684\u5716\u9023\u901a\u6027\uff0cpost-filtering \u53ef\u80fd\u8b93\u4f60\u6c92\u7d50\u679c\u3002\u5404\u5bb6\u5411\u91cf\u8cc7\u6599\u5eab\u6709\u4e0d\u540c\u4e14\u8907\u96dc\u7684\u6280\u8853\u4f86\u61c9\u5c0d\u9019\u500b\u6311\u6230\u3002<br>\u7de8\u6309: \u4f8b\u5982 pg_vector 0.8.0 \u641e\u4e86\u4e00\u500b Iterative Index Scan \u529f\u80fd\u4f86\u907f\u514d overfiltering \u6c92\u7d50\u679c<\/li>\n\n\n\n<li>\u4e8c\u968e\u6bb5\u6aa2\u7d22\u4e0d\u53ea\u7528\u5728\u63a8\u85a6\u7cfb\u7d71: \u7b2c\u4e00\u968e\u6bb5\u7528\u7c21\u55ae\u6aa2\u7d22\uff08\u5982\u5411\u91cf\u641c\u5c0b\uff09\u6e1b\u5c11\u5019\u9078\uff0c\u7b2c\u4e8c\u968e\u6bb5\u7528\u66f4\u7cbe\u78ba\u4f46\u8a08\u7b97\u5bc6\u96c6\u7684\u91cd\u6392\u5e8f\u3002RAG pipeline \u4e5f\u80fd\u9019\u6a23\u505a\u3002\u5411\u91cf\u641c\u5c0b\u662f\u5f9e\u6574\u500b\u8cc7\u6599\u5eab\u8fd4\u56de\u4e00\u5c0f\u90e8\u5206\u7d50\u679c\uff0c\u91cd\u6392\u5e8f\u662f\u5c0d\u5df2\u6709\u5217\u8868\u91cd\u65b0\u6392\u5e8f\u3002<br>\u7de8\u6309: \u7e41\u9ad4\u4e2d\u6587\u8acb\u627e\u770b\u6211\u7684\u8a55\u6e2c: \u4f7f\u7528\u7e41\u9ad4\u4e2d\u6587\u8a55\u6e2c\u5404\u5bb6 Reranker \u6a21\u578b\u7684\u91cd\u6392\u80fd\u529b<\/li>\n\n\n\n<li>RAG \u5f9e\u7b2c\u4e00\u500b\u9577\u4e0a\u4e0b\u6587 LLM \u51fa\u73fe\u5c31\u4e00\u76f4\u5728 &#8220;\u6b7b\u6389&#8221;: \u6bcf\u6b21\u6709\u66f4\u9577 context window \u7684\u6a21\u578b\uff0c\u5c31\u6709\u4eba\u8aaa RAG \u6b7b\u4e86\u3002\u4f46\u5b83\u5f9e\u4f86\u6c92\u6b7b\u904e\u2026<br>\u7de8\u6309: \u6211\u89ba\u5f97\u5c31\u50cf\u8a18\u61b6\u9ad4\u8207\u786c\u789f\uff0c\u8a18\u61b6\u9ad4\u5c31\u7b97\u5f88\u5927\uff0c\u4f60\u9084\u662f\u9700\u8981\u786c\u789f\u7a7a\u9593\uff0c\u56e0\u70ba\u5169\u8005\u6210\u672c\u5dee\u8ddd\u592a\u5927\u3002\u7576\u9700\u8981\u6aa2\u7d22\u7684\u6587\u4ef6\u6210\u5343\u4e0a\u842c\uff0c\u5168\u90e8\u585e\u5230 context \u4e0d\u73fe\u5be6\u3002<\/li>\n\n\n\n<li>\u5411\u91cf\u641c\u5c0b\u5176\u5be6\u5c0d\u932f\u5b57\u4e0d\u53cb\u597d: \u8a13\u7df4\u8cc7\u6599\u4e0d\u53ef\u80fd\u5305\u542b\u6240\u6709\u53ef\u80fd\u7684\u62fc\u5beb\u932f\u8aa4\uff0c\u5411\u91cf\u641c\u5c0b\u8655\u7406\u932f\u5b57\u80fd\u529b\u6709\u9650<\/li>\n\n\n\n<li>\u9078\u5c0d\u8a55\u4f30\u6307\u6a19: \u5b78\u8853\u57fa\u6e96\u6e2c\u8a66\u5f88\u5e38\u7528 NDCG@k\uff0c\u4f46\u7c21\u55ae\u7684 precision \u548c recall \u5f88\u591a\u6642\u5019\u5c31\u5920\u7528\u3002\u5982\u679c\u6392\u5e8f\u91cd\u8981\uff0c\u8981\u7528 MRR@k\u3001MAP@k \u6216 NDCG@k \u9019\u4e9b\u8003\u616e\u9806\u5e8f\u7684\u6307\u6a19\u3002<br>\u7de8\u6309: \u4f8b\u5982 google \u641c\u5c0b\u7d50\u679c\u7684\u6392\u540d\u5f88\u91cd\u8981\uff0c\u5c0d RAG \u5834\u666f\u4f86\u8aaa\uff0c\u53ea\u8981\u6aa2\u7d22 top-k \u6709\u547d\u4e2d\u5c31\u597d\uff0c\u5176\u4e2d\u7684\u9806\u5e8f\u6c92\u9019\u9ebc\u91cd\u8981\uff0c\u53cd\u6b63 LLM \u90fd\u6703\u770b\u5230\u3002<\/li>\n\n\n\n<li>Out-of-domain \u4e0d\u7b49\u65bc out-of-vocabulary: \u65e9\u671f\u6a21\u578b\u78b0\u5230\u6c92\u898b\u904e\u7684\u8a5e\u6703\u51fa\u932f\u3002\u73fe\u5728\u7684 tokenization \u53ef\u4ee5\u8655\u7406\u6c92\u898b\u904e\u7684\u8a5e(\u5982 Labubu)\uff0c\u4f46\u5b83\u5011\u4ecd\u662f out-of-domain\uff0c\u5411\u91cf\u770b\u8d77\u4f86\u6b63\u5e38\u4f46\u5176\u5be6\u6c92\u610f\u7fa9\u3002<br>\u7de8\u6309: \u89e3\u6c7a\u65b9\u6848\u662f(\u958b\u6e90) Embedding \u53ef\u4ee5\u505a\u5fae\u8abf<\/li>\n\n\n\n<li>\u67e5\u8a62\u512a\u5316(Query optimizations)\u7684\u85dd\u8853: \u5c31\u50cf\u6211\u5011\u5b78\u6703\u5728 Google \u8f38\u5165 &#8220;longest river africa&#8221; \u800c\u4e0d\u662f\u5b8c\u6574\u554f\u53e5\uff0c\u73fe\u5728\u4e5f\u8981\u5b78\u7fd2\u5982\u4f55\u70ba\u5411\u91cf\u641c\u5c0b\u512a\u5316\u67e5\u8a62\u3002<\/li>\n<\/ol>\n\n\n\n<p>\u5f9e RAG \u5230 context engineering\uff0c\u4e0d\u8b8a\u7684\u662f\u70ba LLM \u627e\u5230\u6700\u9069\u5408\u7684\u8cc7\u8a0a\uff0c\u8b93\u5b83\u5011\u80fd\u63d0\u4f9b\u6700\u4f73\u56de\u7b54\uff0c\u9019\u4e00\u9ede\u4ecd\u7136\u662f\u95dc\u9375\u3002<\/p>\n\n\n\n<p>\u66f4\u591a\u8a0e\u8ad6\u5728\u6211 <a href=\"https:\/\/www.facebook.com\/ihower\/posts\/10162889366923971\">Facebook \u8cbc\u6587<\/a>\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83d\udca1 <a href=\"https:\/\/blog.langchain.com\/how-to-turn-claude-code-into-a-domain-specific-coding-agent\/\">How to turn Claude Code into a domain specific coding agent<\/a><\/h3>\n\n\n\n<p>\u770b\u5230 LangChain \u5718\u968a\u5206\u4eab\u4e86\u4e00\u500b\u5f88\u5be6\u969b\u5834\u666f\u7684\u5be6\u9a57: \u5982\u4f55\u8b93 Claude Code \u8b8a\u6210\u5c08\u7cbe\u7279\u5b9a\u9818\u57df\u7684 coding agent\u3002<br>\u73fe\u5728\u7684 coding agents \u5c0d\u4e3b\u6d41\u6846\u67b6\u5f88\u719f\u6089\uff0c\u4f46\u78b0\u5230\u516c\u53f8\u5167\u90e8 API\u3001\u5c0f\u773e\u6846\u67b6\u6216\u65b0\u7248\u672c\u7684\u51fd\u5f0f\u5eab\u5c31gg\u4e86\u3002\u4f5c\u70ba LangGraph \u548c LangChain \u7684\u958b\u767c\u8005\uff0c\u4ed6\u5011\u7576\u7136\u5e0c\u671b AI \u80fd\u5beb\u51fa\u9ad8\u54c1\u8cea\u7684 LangGraph \u7a0b\u5f0f\u78bc\u3002<br>\u65bc\u662f\u4ed6\u5011\u505a\u4e86\u500b\u5be6\u9a57\uff0c\u6e2c\u8a66\u56db\u7a2e\u914d\u7f6e:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u539f\u7248 Claude Code (\u4ec0\u9ebc\u90fd\u4e0d\u52a0)<\/li>\n\n\n\n<li>Claude + MCP \u6587\u4ef6\u5de5\u5177 (\u6307 LangChain \u81ea\u5df1\u51fa\u7684 mcpdoc \u5de5\u5177)<\/li>\n\n\n\n<li>Claude + Claude.md (\u7cbe\u5fc3\u64b0\u5beb\u7684 LangGraph \u6307\u5f15\u6587\u4ef6)<\/li>\n\n\n\n<li>Claude + MCP + Claude.md \u5168\u5957\u7d44\u5408<\/li>\n<\/ol>\n\n\n\n<p>\u6548\u679c\u6392\u540d: 4 &gt; 3 &gt; 2 &gt; 1<\/p>\n\n\n\n<p>\u9019\u500b <a href=\"https:\/\/github.com\/langchain-ai\/mcpdoc\">mcpdoc<\/a> \u5de5\u5177\u63d0\u4f9b\u5169\u500b\u529f\u80fd: list_doc_sources \u6293\u53d6 llms.txt \u6587\u4ef6\u7684\u7db2\u5740\u76ee\u9304\uff0cfetch_docs \u6839\u64da\u7db2\u5740\u6293\u53d6\u6587\u4ef6\u5167\u5bb9\u3002<br>\u5feb\u901f\u7d50\u8ad6\u662f: \u7cbe\u5fc3\u64b0\u5beb\u7684 Claude.md \u6a94\u6848\uff0c\u8868\u73fe\u6bd4\u55ae\u7d14\u7d66\u6587\u4ef6\u5de5\u5177\u9084\u597d!<\/p>\n\n\n\n<p>\u5e7e\u500b\u95dc\u9375\u767c\u73fe:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u9019\u500b mcpdoc \u6587\u4ef6\u5de5\u5177\u6548\u679c\u4e0d\u5982\u9810\u671f: \u55ae\u4efd\u6587\u4ef6\u7684 context \u9084\u662f\u592a\u9577\uff0c\u53ef\u80fd\u547c\u53eb\u4e00\u6b21\u5c31\u585e\u7206 context window \u4e86\u3002\u5982\u679c\u4f60\u7684\u6587\u4ef6\u591a\u5230\u60f3\u8981\u7528\u5de5\u5177\u4f86\u67e5\uff0c\u5efa\u8b70\u5be6\u4f5c\u66f4\u7cbe\u6e96\u7684\u6aa2\u7d22\u529f\u80fd\uff0c\u53ea\u56de\u50b3\u76f8\u95dc\u6bb5\u843d\u3002<\/li>\n\n\n\n<li>\u5beb\u597d Claude.md \u7684 CP \u503c\u6700\u9ad8: \u96d6\u7136 Claude.md \u53ea\u5305\u542b\u5168\u90e8\u6587\u4ef6\u5167\u5bb9\u7684\u5b50\u96c6\uff0c\u8868\u73fe\u537b\u66f4\u597d\u3002\u4ed6\u5011\u89c0\u5bdf\u4e86 log \u767c\u73fe: Claude \u4e26\u6c92\u6709\u983b\u7e41\u547c\u53eb MCP \u5de5\u5177\u3002\u5373\u4f7f\u4efb\u52d9\u9700\u8981\u67e5\u770b\u591a\u500b\u76f8\u95dc\u9801\u9762\uff0c\u5b83\u901a\u5e38\u53ea\u547c\u53eb\u4e00\u6b21\u5c31\u505c\u4e86\uff0c\u53ea\u5f97\u5230\u8868\u9762\u63cf\u8ff0\u800c\u975e\u6240\u9700\u7d30\u7bc0\u3002<\/li>\n\n\n\n<li>\u6700\u5f37\u7d44\u5408\u662f\u5169\u8005\u4e26\u7528: AI \u900f\u904e Claude.md \u7372\u5f97\u91cd\u8981\u6982\u5ff5\u548c\u57fa\u790e\u77e5\u8b58\uff0c\u9700\u8981\u6642\u518d\u7528 MCP \u6df1\u5165\u67e5\u8a62\u6587\u4ef6\u7d30\u7bc0\u3002<\/li>\n<\/ul>\n\n\n\n<p>\u6700\u5f8c\u5f88\u53ef\u60dc\u7684\u662f\uff0c\u4ed6\u5011\u4e26\u6c92\u6709\u6e2c\u8a66 <a href=\"https:\/\/context7.com\/\">Context7<\/a> \u9019\u500b\u76ee\u524d\u6700\u53d7\u63a8\u85a6\u7684 MCP coding \u6587\u4ef6\u6aa2\u7d22\u5de5\u5177\uff0c\u9019\u5bb6\u7684\u505a\u6cd5\u5c31\u662f\u53ea\u56de\u50b3\u300c\u76f8\u95dc\u6bb5\u843d\u300d\u800c\u4e0d\u662f\u6574\u4efd\u6587\u4ef6\uff0c\u6b63\u597d\u80fd\u89e3\u6c7a mcpdoc \u585e\u7206 context window \u7684\u554f\u984c\u3002\u82e5\u662f Claude.md \u642d\u914d Context7 \u4f7f\u7528\uff0c\u60f3\u5fc5\u6548\u679c\u66f4\u4e0a\u4e00\u5c64\u6a13 \ud83d\ude0e<\/p>\n\n\n\n<p>\u88dc\u5145: \u9019\u662f\u4ed6\u5011 LangGraph \u7684 <a href=\"https:\/\/github.com\/langchain-ai\/claude-code-evals\/blob\/main\/CLAUDE.md\">claude.md \u5167\u5bb9<\/a>\uff0c\u539f\u6587\u4e2d\u4e5f\u6709\u4ecb\u7d39\u4e00\u4e0b\u9019\u500b prompt \u7684\u7d50\u69cb\u3002<\/p>\n\n\n\n<p>\u66f4\u591a\u8a0e\u8ad6\u5728\u6211 <a href=\"https:\/\/www.facebook.com\/ihower\/posts\/10162943889438971\">Facebook \u8cbc\u6587<\/a>\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83d\udcd1 <a href=\"https:\/\/www.facebook.com\/ihower\/posts\/10162920969953971\">LLM framework \u7b46\u6230<\/a><\/h3>\n\n\n\n<p>\u8981\u4e0d\u8981\u4f7f\u7528 LLM \u6846\u67b6\u4f86\u958b\u767c AI \u61c9\u7528\uff0c\u4e00\u76f4\u662f\u500b\u71b1\u9580\u8a71\u984c\u3002\u6700\u8fd1\u770b\u5230\u4e00\u5834\u7cbe\u5f69\u7684\u7b46\u6230\uff0c\u6709\u6897\u53c8\u6709\u6599\uff0c\u5be6\u5728\u592a\u6709\u8da3\u4e86! \ud83e\udd23<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u8f49\u8f09\u7ffb\u8b6f\u539f\u6587:<\/p>\n\n\n\n<p><strong>\ud83d\udd39 <a href=\"https:\/\/x.com\/ashpreetbedi\/status\/1964362446627299598\">Ashpreet Bedi \u5148\u751f (Agno \u6846\u67b6)<\/a><\/strong><\/p>\n\n\n\n<p>\u50cf\u9019\u6a23\u7684\u9a19\u5b50\u53ea\u662f\u5728\u6d6a\u8cbb\u4f60\u7684\u6642\u9593\uff0c\u4ed6\u5011\u7684\u9127\u5be7-\u514b\u9b6f\u683c\u6548\u61c9(Dunning-Kruger effect)\u610f\u898b\u61c9\u8a72\u88ab\u8a8d\u771f\u7684\u958b\u767c\u8005\u5ffd\u8996\u3002<br>\u4f60\u8981\u9ebc\u57fa\u65bc\u6846\u67b6\u958b\u767c\uff0c\u8981\u9ebc\u6d3b\u5f97\u5920\u4e45\u5230\u81ea\u5df1\u9020\u8f2a\u5b50(\u9806\u5e36\u4e00\u63d0\uff0c\u9019\u4e5f\u6c92\u554f\u984c)\u3002\u539f\u56e0\u5982\u4e0b\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u300c\u5728 while \u8ff4\u5708\u4e2d\u547c\u53eb LLM API\u300d\u662f\u4f60\u7684\u57fa\u790e Agent \u6b65\u9a5f &#8211; \u4f60 Agent \u7cfb\u7d71\u4e2d\u7684\u5de5\u4f5c\u55ae\u5143\u3002\u4f60\u6703\u628a\u5b83\u5305\u88dd\u6210\u51fd\u6578\uff0c\u5728\u9700\u8981\u57f7\u884c Agent \u6642\u547c\u53eb\u5b83\u3002\u9019\u53ea\u662f\u8d77\u8dd1\u7dda\uff0c\u4e5f\u662f\u9019\u4e9b\u767d\u75f4\u901a\u5e38\u5361\u4f4f\u7684\u5730\u65b9\u3002<\/li>\n\n\n\n<li>\u7576\u4f60\u958b\u59cb\u5efa\u69cb Agent \u6642\uff0c\u4f60\u6703\u628a\u9019\u500b\u51fd\u6578\u8f49\u6210\u985e\u5225\uff0c\u52a0\u5165\u63d0\u793a\u8a5e\u8655\u7406\u3001\u8a0a\u606f\u7ba1\u7406\u3001\u5de5\u5177\u547c\u53eb\u3001\u91cd\u8a66\u548c\u932f\u8aa4\u8655\u7406\u7684\u908f\u8f2f\u3002\u606d\u559c\uff0c\u4f60\u5df2\u7d93\u958b\u59cb\u81ea\u5df1\u9020\u8f2a\u5b50\u4e86\u3002<\/li>\n\n\n\n<li>\u63a5\u8457\uff0c\u4f60\u6703\u60f3\u5617\u8a66\u4e0d\u540c\u7684\u6a21\u578b\u6216\u4e32\u63a5 Agent \u4f86\u5efa\u69cb\u5de5\u4f5c\u6d41\u7a0b\u3002\u6bcf\u500b\u6a21\u578b\u90fd\u6709\u5176\u7279\u6b8a\u4e4b\u8655\u3001\u81ea\u8a02\u8a2d\u5b9a\u3001\u4e0d\u540c\u7684\u56de\u61c9\u683c\u5f0f\u3001\u63d0\u793a\u8a5e\u6280\u5de7(\u4f8b\u5982\uff1aClaude \u9700\u8981\u300c\u8acb\u52ff\u5728\u56de\u61c9\u4e2d\u53cd\u601d\u641c\u5c0b\u7d50\u679c\u7684\u54c1\u8cea\u300d)\u3002\u4f60\u958b\u59cb\u70ba\u81ea\u88fd\u6846\u67b6\u52a0\u5165\u66f4\u591a\u5c64\u6b21\u3002<\/li>\n<\/ol>\n\n\n\n<p>\u5230\u76ee\u524d\u70ba\u6b62\u9019\u9084\u662f\u53ef\u89e3\u6c7a\u7684\u554f\u984c\uff0c\u4f60\u9084\u80fd\u6191\u611f\u89ba\u641e\u5b9a\u5b83\u3002<\/p>\n\n\n\n<ol start=\"4\" class=\"wp-block-list\">\n<li>\u7136\u5f8c\u4e8b\u60c5\u771f\u7684\u958b\u59cb\u8b8a\u5f97\u4ee4\u4eba\u6cae\u55aa\u3002\u4f60\u5f88\u5feb\u5c31\u6703\u767c\u73fe\u9700\u8981\u8de8\u57f7\u884c\u7dad\u8b77\u6703\u8a71\u6b77\u53f2\u548c\u72c0\u614b\uff0c\u56e0\u70ba\u4e0d\u50cf\u90a3\u4e9b\u9a19\u5b50\uff0c\u4f60\u5be6\u969b\u4e0a\u4e0d\u6703\u5728\u4f60\u5abd\u5bb6\u7684\u5730\u4e0b\u5ba4\u8dd1 Jupyter notebook\u3002\u4f60\u731c\u600e\u9ebc\u8457 \u2014 \u4f60\u7684 Agent \u9700\u8981\u8cc7\u6599\u5eab\u3002\u4f60\u6703\u8a2d\u8a08\u50cf agent_sessions \u9019\u6a23\u7684\u8cc7\u6599\u8868\uff0c\u4e32\u63a5\u6703\u8a71 ID\uff0c\u5728\u6bcf\u6b21\u57f7\u884c\u6642\u5132\u5b58\/\u6aa2\u7d22\u6b77\u53f2\u548c\u72c0\u614b\u3002\u5e7e\u9031\u5f8c\uff0c\u4f60\u6703\u767c\u73fe\u4f60\u7684\u67b6\u69cb\u6548\u7387\u4f4e\u4e0b\uff0c\u56e0\u70ba\u4f60\u5fd8\u4e86\u52a0\u5165\u6b63\u78ba\u7684\u7d22\u5f15\uff0c\u73fe\u5728\u4f60\u5f97\u5b78\u7fd2\u8cc7\u6599\u5eab\u9077\u79fb\u3002<br>\u9760\u5317\uff01\u9019\u4e0d\u662f\u61c9\u8a72\u53ea\u662f\u500b while \u8ff4\u5708\u55ce\uff1f\u800c\u4e14\u6211\u5011\u751a\u81f3\u9084\u6c92\u958b\u59cb\u8655\u7406 RAG\u3001\u5206\u584a\u3001\u5d4c\u5165\u3001\u6aa2\u7d22\u3001\u4e0a\u4e0b\u6587\u7ba1\u7406\u3001\u5de5\u5177\u7ba1\u7406\u3001MCP\u3001\u76e3\u63a7\u548c\u65e5\u8a8c\u8a18\u9304\u3002\u70ba\u4ec0\u9ebc\u9a19\u5b50\u8981\u9a19\u4eba?<br>\u73fe\u5728\u6211\u5011\u5df2\u7d93\u9677\u5165\u6191\u611f\u89ba\u5beb\u7a0b\u5f0f\u7684\u5669\u5922\u597d\u5e7e\u9031\u4e86\uff0c\u800c CEO \u9084\u5728\u554f\u4ec0\u9ebc\u6642\u5019\u53ef\u4ee5\u4e0a\u7dda\u3002<\/li>\n\n\n\n<li>\u6700\u5f8c\uff0c\u4f60\u9762\u5c0d\u771f\u6b63\u7684\u554f\u984c\uff1a\u6211\u8a72\u5982\u4f55\u5c07\u9019\u500b\u670d\u52d9\u5316\u6210 API \u4e26\u5728\u4e0a\u9762\u5efa\u69cb\u7522\u54c1?<br>\u4f60\u62fc\u6e4a\u51fa\u4e00\u500b FastAPI \u61c9\u7528\uff0c\u628a\u5b83\u4e1f\u9032\u5bb9\u5668\uff0c\u4ee5\u70ba\u5927\u529f\u544a\u6210\u3002\u4f60\u9b06\u4e86\u4e00\u53e3\u6c23\uff0c\u4ea4\u7d66\u4f60\u7684 CEO\u3002\u4ed6\u50cf\u760b\u5b50\u4e00\u6a23\u731b\u6e2c\uff0c\u5206\u584a\u958b\u59cb\u6389\u843d\uff0cAgent \u6df7\u6dc6\u4e0a\u4e0b\u6587\uff0c\u4f60\u7a81\u7136\u9700\u8981\u5b78\u7fd2 SSE\u3002\u4f60\u5be6\u4f5c\u4e86 SSE\uff0c\u4e8b\u60c5\u904b\u4f5c\u826f\u597d\u4e00\u9663\u5b50\uff0c\u7136\u5f8c\u4f60\u7684\u8acb\u6c42\u958b\u59cb\u903e\u6642\uff0c\u5bb9\u5668\u8a18\u61b6\u9ad4\u7206\u6389 &#8211; \u8a18\u61b6\u9ad4\u6d29\u6f0f\u3002\u4f60\u8cac\u602a Python\uff0c\u4f46\u5167\u5fc3\u6df1\u8655\uff0c\u4f60\u77e5\u9053\uff0c\u4f60\u77e5\u9053\u7684\u3002<br>\u4f60\u958b\u59cb\u641c\u5c0b\u89e3\u6c7a\u65b9\u6848\uff0c\u7136\u5f8c\u770b\u5230\u4f86\u81ea @AgnoAgi \u7684\u9019\u6bb5\u7a0b\u5f0f\u78bc\u7247\u6bb5\u2026<\/li>\n<\/ol>\n\n\n\n<p><strong>\ud83d\udd39 <a href=\"https:\/\/x.com\/alecvxyz\/status\/1965079139804680458\">Alec Velikanov \u5148\u751f (\u67d0\u65b0\u5275CTO) \u7684\u56de\u8986<\/a><\/strong><\/p>\n\n\n\n<p>\u50cf\u9019\u6a23\u7684\u9a19\u5b50\u53ea\u662f\u5728\u6d6a\u8cbb\u4f60\u7684\u6642\u9593\uff0c\u4ed6\u5011\u7684\u9127\u5be7-\u514b\u9b6f\u683c\u6548\u61c9\u610f\u898b(Dunning-Kruger effect)\u61c9\u8a72\u88ab\u8a8d\u771f\u7684\u958b\u767c\u8005\u5ffd\u8996\u3002<br>\u4f60\u8981\u9ebc\u5efa\u69cb\u81ea\u5df1\u7684 Agent \u8ff4\u5708\uff0c\u8981\u9ebc\u6d3b\u5f97\u5920\u4e45\u88ab\u56f0\u5728\u5225\u4eba\u7684\u6846\u67b6\u5730\u7344\u88e1(\u9806\u5e36\u4e00\u63d0\uff0c\u9019\u4e5f\u6c92\u554f\u984c)\u3002\u539f\u56e0\u5982\u4e0b\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u9583\u4eae\u7684\u300c\u6846\u67b6\u793a\u7bc4\u300d\u5728\u7b2c\u4e00\u5929\u770b\u8d77\u4f86\u5f88\u68d2\u3002\u5e7e\u884c YAML\uff0c\u4e00\u500b\u795e\u5947\u7684 Agent() \u547c\u53eb\uff0c\u7a81\u7136\u4f60\u4ee5\u70ba\u81ea\u5df1\u8981\u51fa\u8ca8\u4e86\u3002\u9019\u53ea\u662f\u8d77\u8dd1\u7dda\uff0c\u4e5f\u662f\u9019\u4e9b\u767d\u75f4\u901a\u5e38\u5361\u4f4f\u7684\u5730\u65b9\u3002<\/li>\n\n\n\n<li>\u7576\u4f60\u958b\u59cb\u5efa\u69cb\u5be6\u969b\u7684\u4f7f\u7528\u6848\u4f8b\u6642\uff0c\u4f60\u6703\u767c\u73fe\u4f60\u9700\u8981\u7684\u4e00\u534a\u529f\u80fd\u90fd\u662f\u300c\u5373\u5c07\u63a8\u51fa\u300d\u6216\u85cf\u5728\u67d0\u500b\u6c92\u6709\u6587\u4ef6\u7684\u8a2d\u5b9a\u65d7\u6a19\u5f8c\u9762\u3002\u4f60\u958b\u59cb fork\u3001hack\u3001\u5305\u88dd\u4ed6\u5011\u7684\u62bd\u8c61\u5c64\u22ef\u606d\u559c\uff0c\u4f60\u5728\u7dad\u8b77\u4ed6\u5011\u7684\u6846\u67b6\u800c\u4e0d\u662f\u5efa\u69cb\u81ea\u5df1\u7684\u3002<\/li>\n\n\n\n<li>\u63a5\u8457\uff0c\u4f60\u6703\u60f3\u5617\u8a66\u4e0d\u540c\u7684\u6a21\u578b\u6216\u4e32\u63a5\u5de5\u4f5c\u6d41\u7a0b\u3002\u6bcf\u500b\u6846\u67b6\u90fd\u5f37\u8feb\u4f60\u63a1\u7528\u5b83\u300c\u6b3d\u5b9a\u300d\u7684\u7de8\u6392\u98a8\u683c\u3001\u5947\u602a\u7684\u5e8f\u5217\u5316\u683c\u5f0f\uff0c\u6216\u300c\u5916\u639b\u751f\u614b\u7cfb\u300d\u3002\u4f60\u82b1\u5728\u5c0d\u6297\u62bd\u8c61\u5c64\u7684\u6642\u9593\u6bd4\u89e3\u6c7a\u554f\u984c\u9084\u591a\u3002<\/li>\n<\/ol>\n\n\n\n<p>\u5230\u76ee\u524d\u70ba\u6b62\u9084\u80fd\u5b58\u6d3b\uff0c\u4f60\u9084\u80fd\u6191\u611f\u89ba\u7e5e\u904e\u5b83\u3002<\/p>\n\n\n\n<ol start=\"4\" class=\"wp-block-list\">\n<li>\u7136\u5f8c\u4e8b\u60c5\u771f\u7684\u958b\u59cb\u8b8a\u5f97\u4ee4\u4eba\u6cae\u55aa\u3002\u4f60\u5f88\u5feb\u5c31\u6703\u767c\u73fe\u4ed6\u5011\u7684\u8a18\u61b6\u9ad4\/\u72c0\u614b\u5c64\u5f88\u721b\u2014\u2014\u5beb\u5165\u5f88\u6162\u3001\u7d22\u5f15\u7f3a\u5931\u3001\u9077\u79fb\u6839\u672c\u4e0d\u5b58\u5728\u3002\u4f60\u5728\u51cc\u6668\u4e09\u9ede\u8abf\u8a66\u5225\u4eba\u534a\u6210\u54c1\u7684 SQLite \u5305\u88dd\u5668\uff0c\u60f3\u8457\u70ba\u4ec0\u9ebc\u4e0d\u81ea\u5df1\u5beb\u4e09\u500b\u8cc7\u6599\u8868\u5c31\u597d\u3002<br>\u9760\u5317\uff01\u9019\u4e0d\u662f\u61c9\u8a72\u8981\u5e6b\u6211\u7701\u6642\u9593\u55ce\uff1f\u800c\u4e14\u6211\u5011\u9084\u6c92\u78b0\u5230\u6846\u67b6\u7684\u300cRAG \u7ba1\u7dda\u300d(\u9577\u6587\u4ef6\u5c31\u6703\u58de\u6389)\u3001\u5b83\u795e\u5947\u7684\u5d4c\u5165\u5feb\u53d6\uff08\u6703\u6d29\u6f0f\u8a18\u61b6\u9ad4\uff09\u3001\u6216\u8005\u57fa\u672c\u4e0a\u5c31\u662f print() \u7684\u76e3\u63a7\u3002\u70ba\u4ec0\u9ebc\u9a19\u5b50\u8981\u9a19\u4eba\uff1f<br>\u73fe\u5728\u4f60\u5df2\u7d93\u9677\u5165\u4f9d\u8cf4\u5730\u7344\u597d\u5e7e\u500b\u6708\u4e86\uff0c\u800c CEO \u5728\u554f\u70ba\u4ec0\u9ebc\u4ec0\u9ebc\u90fd\u8981\u79c1\u8a0a\u6846\u67b6\u7684 Discord \u7ba1\u7406\u54e1\u624d\u80fd\u904b\u4f5c\u3002<\/li>\n\n\n\n<li>\u6700\u5f8c\uff0c\u4f60\u9762\u5c0d\u771f\u6b63\u7684\u554f\u984c\uff1a\u6211\u8a72\u5982\u4f55\u5728\u751f\u7522\u74b0\u5883\u904b\u884c\u9019\u500b\uff1f \u6846\u67b6\u63d0\u4f9b\u4e86\u4e00\u500b\u9810\u5efa\u7684 FastAPI \u5bb9\u5668\uff0c\u865f\u7a31\u6709\u300c\u4f01\u696d\u7d1a\u300d\u7aef\u9ede\u2026 \u76f4\u5230\u5b83\u5728\u5e73\u884c\u8acb\u6c42\u6642deadlocks\u3001\u5728\u8ca0\u8f09\u4e0b timeout \u6642\uff0c\u4f60\u624d\u610f\u8b58\u5230\u4f5c\u8005\u5f9e\u4f86\u6c92\u6709\u64f4\u5c55\u8d85\u904e\u9ed1\u5ba2\u677e\u793a\u7bc4\u7684\u898f\u6a21\u3002<br>\u4f60\u63d0\u4ea4\u4e00\u500b issue\uff0c\u5f97\u5230\u4e00\u500b\u6109\u5feb\u7684\u300c\u6b61\u8fce PR :)\u300d\u56de\u8986\uff0c\u5167\u5fc3\u6df1\u8655\uff0c\u4f60\u77e5\u9053\uff0c\u4f60\u77e5\u9053\u7684\u3002<br>\u4f60\u958b\u59cb\u641c\u5c0b\u89e3\u6c7a\u65b9\u6848\uff0c\u7136\u5f8c\u610f\u8b58\u5230\u552f\u4e00\u7684\u4fee\u5fa9\u65b9\u6cd5\u662f\u628a\u5b83\u5168\u90e8\u62c6\u6389\uff0c\u56de\u5230\u539f\u59cb\u7684 LLM API \u548c while \u8ff4\u5708\u3002<br>\u4f60\u770b\u898b\u4e86\u66d9\u5149\uff0c\u653e\u68c4\u4f60\u7684\u53d7\u8650\u72c2\u50be\u5411\uff0c\u4e26\u91cd\u8907\u9019\u500b\u5492\u8a9e\uff1a\u81ea\u5df1\u4ed6\u5abd\u7684\u52d5\u624b\u505a\u5c31\u5c0d\u4e86\uff01<\/li>\n<\/ol>\n\n\n\n<p>&#8212;<\/p>\n\n\n\n<p>\u66f4\u591a\u8a0e\u8ad6\u5728\u6211 <a href=\"https:\/\/www.facebook.com\/ihower\/posts\/10162920969953971\">Facebook \u8cbc\u6587<\/a>\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u2696\ufe0f <a href=\"https:\/\/github.com\/chiphuyen\/sniffly\">Sniffly \u5de5\u5177<\/a><\/h3>\n\n\n\n<p>\u6b50\u840a\u79ae AI Engineering \u4e00\u66f8(\u9019\u672c\u6709<a href=\"https:\/\/www.tenlong.com.tw\/products\/9786264251358\">\u7e41\u4e2d\u7ffb\u8b6f\u7248<\/a>)\u7684\u4f5c\u8005 Chip Huyen \u958b\u6e90\u4e86\u4e00\u500b Claude Code \u7684\u4f7f\u7528\u5206\u6790\u5de5\u5177 Sniffly\uff0c\u53ef\u4ee5\u5e6b\u52a9\u6211\u5011\u66f4\u6709\u6548\u4f7f\u7528 Claude Code\u3002<br>\u5979\u9084\u5206\u4eab\u4e86\u5e7e\u9ede\u5fc3\u5f97:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u6700\u5e38\u898b\u7684 Claude Claude \u932f\u8aa4\u985e\u578b\u662f\u300c\u627e\u4e0d\u5230\u5167\u5bb9\u300d(20-30%) \uff0cClaude Code \u7d93\u5e38\u8a66\u5716\u5c0b\u627e\u4e0d\u5b58\u5728\u7684\u6a94\u6848\u6216\u51fd\u6578\u3002\u56e0\u6b64\u5979\u6703\u91cd\u65b0\u8abf\u6574\u7a0b\u5f0f\u78bc\u7d50\u69cb\uff0c\u8b93 AI \u66f4\u5bb9\u6613\u300c\u767c\u73fe\u300d\u9700\u8981\u7684\u5167\u5bb9\u3002<\/li>\n\n\n\n<li>\u50b3\u7d71\u7684\u958b\u767c\u6642\u6578\u6307\u6a19\u5df2\u7d93\u4e0d\u9069\u7528 AI\uff0c\u5979\u63d0\u51fa\u5169\u500b\u65b0\u7684\u5c08\u6848\u8907\u96dc\u5ea6\u8a55\u4f30\u6307\u6a19:<\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u9700\u8981\u7d66 AI \u591a\u5c11\u6b21\u6307\u4ee4\u624d\u80fd\u5b8c\u6210\u5c08\u6848<\/li>\n\n\n\n<li>\u6709\u591a\u5e38\u8981\u6253\u65b7 AI \u56e0\u70ba AI \u8d70\u932f\u65b9\u5411<\/li>\n<\/ul>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u5927\u591a\u6578\u9700\u8981\u6253\u65b7 AI \u7684\u60c5\u6cc1\uff0c\u5728 10 \u6b65\u5167\u5c31\u9700\u8981\u4eba\u5de5\u4ecb\u5165\uff0c\u5076\u723e\u53ef\u4ee5\u63a5\u8fd1 100 \u6b65\u81ea\u4e3b\u904b\u4f5c\u3002Claude Code \u6700\u611b\u7528\u7684\u5de5\u5177\u662f\u641c\u5c0b\u985e\u6307\u4ee4(grep\u3001ls\u3001glob)\uff0c\u4f54\u4e86\u6240\u6709\u5de5\u5177\u547c\u53eb\u7684 1\/3\u3002<\/li>\n<\/ol>\n\n\n\n<p>Sniffly \u9084\u80fd\u8b93\u4f60\u56de\u9867\u6240\u6709\u6b77\u53f2\u6307\u4ee4\u548c\u6a21\u578b\u56de\u61c9\u7d50\u679c\uff0c\u5b89\u88dd\u65b9\u5f0f\u5f88\u7c21\u55ae\uff0c\u6307\u4ee4\u662f <code>uvx sniffly@latest init<\/code><\/p>\n\n\n\n<p>\u66f4\u591a\u8a0e\u8ad6\u5728\u6211 <a href=\"https:\/\/www.facebook.com\/ihower\/posts\/10162821015903971\">Facebook \u8cbc\u6587<\/a>\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83d\udcbb <a href=\"https:\/\/github.com\/openai\/openai-agents-python\/releases\">OpenAI Agents SDK v0.3.x released<\/a><\/h3>\n\n\n\n<p>\u6700\u8fd1\u6211\u958b\u59cb\u6709\u7a7a\u5c31\u8ca2\u737b\u4e00\u4e0b OpenAI Agents SDK \u539f\u59cb\u78bc\uff0c\u5f9e v0.3.0, v0.3.1, v0.3.2 \u90fd\u53ef\u4ee5\u770b\u5230 ihower \u7684 commits\u3002<br>\u5305\u62ec\u4fee\u4e86\u9019\u500b <a href=\"https:\/\/github.com\/openai\/openai-agents-python\/pull\/1689\">#1689<\/a> \u548c <a href=\"https:\/\/github.com\/openai\/openai-agents-python\/pull\/1757\">#1757<\/a>\u3001\u52a0\u4e86 <a href=\"https:\/\/github.com\/openai\/openai-agents-python\/pull\/1758\">1758<\/a> \u8ddf\u9019\u500b <a href=\"https:\/\/github.com\/openai\/openai-agents-python\/pull\/1765\">1765<\/a>\u3002<br>\u6211\u4e5f\u5728\u8ddf\u9032 <a href=\"https:\/\/github.com\/openai\/openai-agents-python\/issues\/1767\">#1767<\/a> \u8ddf <a href=\"https:\/\/github.com\/openai\/openai-agents-python\/issues\/1789\">#1789<\/a>\u3002<br>\u5982\u679c\u5927\u5bb6\u78b0\u5230\u4ec0\u9ebc\u5947\u602a\u554f\u984c\uff0c\u4e5f\u53ef\u4ee5\u627e\u6211\u5594\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p>\u5e0c\u671b\u4f60\u6703\u559c\u6b61\u9019\u96c6\u5167\u5bb9\uff01<\/p>\n\n\n\n<p>\u2013 ihower<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6b61\u8fce\u8a02\u95b1 \ud83d\udcec&nbsp;\u611b\u597d AI Engineer 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#32\u3009<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[91],"tags":[],"class_list":["post-13285","post","type-post","status-publish","format-standard","hentry","category-aie","entry"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p1q6tG-3sh","jetpack_sharing_enabled":true,"jetpack_likes_enabled":true,"_links":{"self":[{"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/posts\/13285","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/comments?post=13285"}],"version-history":[{"count":4,"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/posts\/13285\/revisions"}],"predecessor-version":[{"id":13289,"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/posts\/13285\/revisions\/13289"}],"wp:attachment":[{"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/media?parent=13285"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/categories?post=13285"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/tags?post=13285"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}