{"id":103945,"date":"2026-09-11T15:33:06","date_gmt":"2026-09-11T07:33:06","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/103945.html"},"modified":"2026-09-11T15:33:06","modified_gmt":"2026-09-11T07:33:06","slug":"2-%e6%af%9b%e9%92%b1%e7%94%9f%e6%88%90%e4%b8%80%e4%b8%aa-agent-%e5%ba%94%e7%94%a8%ef%bc%8c%e8%bf%99%e4%b8%aa%e5%bc%80%e6%ba%90%e9%a1%b9%e7%9b%ae%e6%9c%89%e7%82%b9%e4%b8%9c%e8%a5%bf","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/103945.html","title":{"rendered":"2 \u6bdb\u94b1\u751f\u6210\u4e00\u4e2a Agent \u5e94\u7528\uff0c\u8fd9\u4e2a\u5f00\u6e90\u9879\u76ee\u6709\u70b9\u4e1c\u897f"},"content":{"rendered":"

\u6700\u8fd1\u5728 GitHub \u4e0a\u7ffb\u5230\u4e00\u4e2a\u633a\u6709\u610f\u601d\u7684\u9879\u76ee，\u53eb PenguinHarness\u3002\u4e00\u5f00\u59cb\u662f\u88ab\u5b83\u7684 slogan \u5438\u5f15\u7684\u2014\u2014\u201cLet AI Build AI\u201d（\u8ba9 AI \u6765\u6784\u5efa AI）\u3002 \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

\u8bf4\u5b9e\u8bdd\u8fd9\u79cd\u53e3\u53f7\u6211\u89c1\u591a\u4e86，\u5927\u90e8\u5206\u90fd\u662f\u5671\u5934\u3002\u4f46\u770b\u5230\u4f5c\u8005\u662f LlamaFactory \u7684 Yaowei Zheng（\u90d1\u8000\u5a01），\u6211\u51b3\u5b9a\u82b1\u70b9\u65f6\u95f4\u7814\u7a76\u4e00\u4e0b\u3002\u6bd5\u7adf LlamaFactory \u5728\u5fae\u8c03\u5708\u5b50\u91cc\u7b97\u662f\u6807\u6746\u7ea7\u7684\u9879\u76ee（70k+ Star），\u4f5c\u8005\u51fa\u624b\u7684\u4e1c\u897f\u4e00\u822c\u4e0d\u4f1a\u592a\u79bb\u8c31\u3002<\/p>\n

\u7528\u4e86\u4e00\u6bb5\u65f6\u95f4，\u53d1\u73b0\u8fd9\u4e1c\u897f\u786e\u5b9e\u6709\u70b9\u4e1c\u897f\u3002\u4eca\u5929\u5c31\u6765\u804a\u804a\u6211\u7684\u4f7f\u7528\u4f53\u9a8c\u3002<\/p>\n

\u4e00\u53e5\u8bdd\u89e3\u91ca PenguinHarness：\u4f60\u7528\u5c0f\u6bb5\u81ea\u7136\u8bed\u8a00\u63cf\u8ff0\u60f3\u8981\u4ec0\u4e48 Agent \u5e94\u7528，\u5b83\u81ea\u52a8\u5e2e\u4f60\u628a\u4ee3\u7801\u3001\u811a\u624b\u67b6\u3001\u8fd0\u884c\u8bf4\u660e\u5168\u751f\u6210\u51fa\u6765\u3002<\/p>\n

\n

\u5148\u8bf4\u8bf4\u5b83\u89e3\u51b3\u7684\u662f\u4ec0\u4e48\u95ee\u9898<\/h3>\n

\u642d\u8fc7 Agent \u5e94\u7528\u7684\u4eba\u5e94\u8be5\u90fd\u6709\u4f53\u4f1a：\u9009\u6846\u67b6\u3001\u642d\u811a\u624b\u67b6\u3001\u914d\u5de5\u5177\u3001\u8c03 Prompt\u3001\u8dd1\u6d4b\u8bd5\u3001\u6539 Prompt\u3001\u518d\u6d4b\u8bd5\u2026\u2026\u4e00\u5708\u4e0b\u6765，\u771f\u6b63\u82b1\u5728\u4e1a\u52a1\u903b\u8f91\u4e0a\u7684\u65f6\u95f4\u53ef\u80fd\u53ea\u5360\u4e09\u6210，\u5269\u4e0b\u4e03\u6210\u90fd\u5728\u8ddf\u6846\u67b6\u672c\u8eab\u8f83\u52b2\u3002<\/p>\n

PenguinHarness \u7684\u601d\u8def\u5f88\u76f4\u63a5：\u8fd9\u4e9b\u6d3b\u513f，\u8ba9 Agent \u81ea\u5df1\u5e72\u3002<\/p>\n

\u4f60\u53ea\u9700\u8981\u7528\u4e00\u53e5\u8bdd\u63cf\u8ff0\u9700\u6c42，\u6bd4\u5982"\u5e2e\u6211\u505a\u4e00\u4e2a RAG \u5e94\u7528，\u8bfb\u53d6 .\/docs \u76ee\u5f55，\u652f\u6301\u81ea\u7136\u8bed\u8a00\u95ee\u7b54"，\u5b83\u5c31\u4f1a\u751f\u6210\u4e00\u4e2a\u5b8c\u6574\u53ef\u8fd0\u884c\u7684\u5e94\u7528\u3002<\/p>\n

RAG \u4e00\u53e5\u8bdd\u89e3\u91ca：\u8ba9 AI \u5148\u53bb\u7ffb\u8d44\u6599，\u518d\u6839\u636e\u8d44\u6599\u56de\u7b54\u4f60\u7684\u95ee\u9898，\u800c\u4e0d\u662f\u778e\u7f16\u3002\u5c31\u50cf\u5f00\u5377\u8003\u8bd5\u548c\u95ed\u5377\u8003\u8bd5\u7684\u533a\u522b\u3002<\/p>\n

\u6211\u5b9e\u6d4b\u751f\u6210\u4e86\u4e00\u4e2a RAG \u5e94\u7528，token \u6210\u672c\u5927\u6982 \u00a50.2（\u7528\u7684\u662f DeepSeek V4 Pro）\u3002\u8fd9\u4e2a\u4ef7\u683c\u8bf4\u5b9e\u8bdd\u6709\u70b9\u79bb\u8c31\u2014\u2014\u4e24\u6bdb\u94b1，\u8fde\u4e2a\u5305\u5b50\u90fd\u4e70\u4e0d\u5230\u3002<\/p>\n

![\u5efa\u8bae\u914d\u56fe：PenguinHarness \u4e3b\u754c\u9762\u622a\u56fe，\u5c55\u793a\u4ece\u8f93\u5165\u9700\u6c42\u5230\u751f\u6210\u5e94\u7528\u7684\u6d41\u7a0b]<\/p>\n

\n

\u6838\u5fc3\u80fd\u529b：\u4e09\u4e2a\u8ba9\u6211\u610f\u5916\u7684\u70b9<\/h3>\n

1. \u6210\u672c\u4f4e\u5f97\u6709\u70b9\u4e0d\u771f\u5b9e<\/h4>\n

\u5b98\u65b9\u7ed9\u7684\u6570\u636e\u662f：\u5728\u6570\u636e\u5206\u6790\u4efb\u52a1\u4e0a，PenguinHarness \u7684\u6210\u672c\u7ea6\u4e3a Claude Code \u7684 1\/70\u3002<\/p>\n

\u6211\u4e00\u5f00\u59cb\u4ee5\u4e3a\u770b\u9519\u4e86，\u786e\u8ba4\u4e86\u4e00\u4e0b\u786e\u5b9e\u662f\u4e03\u5341\u5206\u4e4b\u4e00\u3002<\/p>\n

\u5b83\u662f\u600e\u4e48\u505a\u5230\u7684？\u6838\u5fc3\u5728\u4e8e\u523b\u610f\u7cbe\u7b80\u7684\u5de5\u5177\u96c6\u3002\u5927\u591a\u6570 Agent \u6846\u67b6\u6068\u4e0d\u5f97\u7ed9\u4f60\u585e\u51e0\u767e\u4e2a\u5de5\u5177，\u6a21\u578b\u6bcf\u6b21\u51b3\u7b56\u90fd\u8981\u5728\u6d77\u91cf\u9009\u9879\u91cc\u6311，token \u54d7\u54d7\u5730\u70e7\u3002PenguinHarness \u53cd\u5176\u9053\u800c\u884c，\u5de5\u5177\u6570\u91cf\u5c11\u3001\u63a5\u53e3\u5e72\u51c0，\u6a21\u578b\u51b3\u7b56\u8def\u5f84\u6e05\u6670，token \u6d88\u8017\u81ea\u7136\u5c31\u964d\u4e0b\u6765\u4e86\u3002<\/p>\n

\u8fd9\u5c31\u50cf\u70b9\u83dc\u2014\u2014\u83dc\u5355 200 \u9875\u7684\u9910\u5385，\u4f60\u5149\u7ffb\u83dc\u5355\u5c31\u5f97\u534a\u5c0f\u65f6；\u83dc\u5355\u53ea\u6709 10 \u9053\u83dc\u7684\u9986\u5b50，\u5750\u4e0b\u5c31\u80fd\u70b9\u3002<\/p>\n

2. RSI：Agent \u81ea\u5df1\u8fed\u4ee3\u81ea\u5df1<\/h4>\n

RSI \u662f Recursive Self-Improvement（\u9012\u5f52\u81ea\u6211\u6539\u8fdb）\u7684\u7f29\u5199\u3002\u542c\u8d77\u6765\u5f88\u7384\u4e4e，\u4f46\u5b83\u7684\u5b9e\u9645\u6d41\u7a0b\u5f88\u5177\u4f53：<\/p>\n

\u521d\u59cb\u7248\u672c Agent
\n \u2193
\n\u8dd1\u57fa\u51c6\u6d4b\u8bd5（benchmark-design + agent-evaluation \u6280\u80fd）
\n \u2193
\n\u627e\u51fa\u54ea\u91cc\u5931\u5206\u3001\u4e3a\u4ec0\u4e48\u5931\u5206
\n \u2193
\n\u751f\u6210\u6539\u8fdb\u7248\u672c（agent-optimization \u6280\u80fd）
\n \u2193
\n\u5b58\u5feb\u7167 + \u7248\u672c\u5bf9\u6bd4
\n \u2193
\n\u91cd\u590d，\u76f4\u5230\u8fbe\u6807\u6216\u4eba\u5de5\u4ecb\u5165<\/p>\n

\u5173\u952e\u5728\u4e8e：\u8bc4\u4f30\u548c\u4f18\u5316\u90fd\u662f Agent \u81ea\u5df1\u5b8c\u6210\u7684\u3002\u4eba\u7684\u89d2\u8272\u53d8\u6210\u4e86\u8bbe\u5b9a\u76ee\u6807\u548c\u6700\u7ec8\u5ba1\u6279\u3002<\/p>\n

\u800c\u4e14\u6bcf\u4e00\u8f6e\u8fed\u4ee3\u90fd\u6709\u5b8c\u6574\u5feb\u7167，\u53ef\u4ee5\u56de\u9000\u5230\u4efb\u610f\u5386\u53f2\u7248\u672c\u3002\u4e0d\u662f\u90a3\u79cd"\u9ed1\u76d2\u81ea\u52a8\u4f18\u5316"，\u6574\u4e2a\u8fc7\u7a0b\u662f\u900f\u660e\u7684\u3001\u53ef\u4ee5\u5e72\u9884\u7684\u3002<\/p>\n

3. \u6bcf\u4e00\u6b65\u5de5\u5177\u8c03\u7528\u90fd\u8981\u7ecf\u8fc7\u4f60\u540c\u610f<\/h4>\n

SDK \u91cc\u6709\u4e2a approve \u56de\u8c03，\u8bbe\u8ba1\u5f97\u5f88\u5999：<\/p>\n

for<\/span> await<\/span> (<\/span>const<\/span> output of<\/span> session.<\/span>run<\/span>(<\/span>
\n [<\/span>userText<\/span>(<\/span>"\u5206\u6790 .\/data\/sales.csv，\u8f93\u51fa\u6708\u5ea6\u8d8b\u52bf\u56fe"<\/span>)<\/span>]<\/span>,<\/span>
\n {<\/span>
\n approve<\/span>:<\/span> async<\/span> (<\/span>toolCall)<\/span> =><\/span> {<\/span>
\n console<\/span>.<\/span>log<\/span>(<\/span>`<\/span>\u5373\u5c06\u6267\u884c: <\/span>${<\/span>toolCall.<\/span>name}<\/span><\/span>`<\/span><\/span>)<\/span>;<\/span>
\n return<\/span> "allow"<\/span>;<\/span> \/\/ \u6216 "deny"<\/span>
\n }<\/span>,<\/span>
\n }<\/span>
\n)<\/span>)<\/span> {<\/span>
\n console<\/span>.<\/span>log<\/span>(<\/span>output)<\/span>;<\/span>
\n}<\/span><\/p>\n

\u6bcf\u6b21\u5de5\u5177\u8981\u6267\u884c\u64cd\u4f5c（\u8bfb\u6587\u4ef6\u3001\u8dd1\u547d\u4ee4\u3001\u53d1\u8bf7\u6c42），\u90fd\u4f1a\u5148\u95ee\u4f60\u4e00\u53e5"\u5141\u8bb8\u5417？"\u3002\u8fd9\u5728\u751f\u4ea7\u73af\u5883\u91cc\u592a\u91cd\u8981\u4e86\u2014\u2014\u4f60\u4e0d\u4f1a\u5e0c\u671b AI \u534a\u591c\u5077\u5077\u628a\u4f60\u6570\u636e\u5e93\u5220\u4e86\u3002<\/p>\n

![\u5efa\u8bae\u914d\u56fe：Trace \u89c6\u56fe\u622a\u56fe，\u5c55\u793a\u5de5\u5177\u8c03\u7528\u94fe\u8def\u548c token \u6d88\u8017]<\/p>\n

\n

\u5185\u7f6e\u6280\u80fd\u7ec4：\u5f00\u7bb1\u5373\u7528\u7684\u56db\u5927\u7c7b<\/h3>\n

PenguinHarness \u5185\u7f6e\u4e86\u4e00\u6279\u6280\u80fd（Skill），\u6309\u7528\u9014\u5206\u6210\u56db\u7ec4：<\/p>\n\n\u6280\u80fd\u7ec4\u4ee3\u8868\u6280\u80fd\u80fd\u5e72\u4ec0\u4e48<\/tr>\n\n\n\n\n\n
\u529e\u516c\u751f\u4ea7\u529b<\/td>\ndata-analysis\u3001firecrawl\u3001bento-slides\u3001humanizer<\/td>\n\u6570\u636e\u5206\u6790\u3001\u7f51\u9875\u6293\u53d6\u3001\u505a PPT\u3001\u6587\u672c\u6da6\u8272<\/td>\n<\/tr>\n
\u8f6f\u4ef6\u5f00\u53d1<\/td>\nweb-design\u3001software-engineering\u3001remote-claude-code<\/td>\n\u5efa\u7ad9\u3001\u5199\u4ee3\u7801\u3001\u8fdc\u7a0b\u8c03 Claude Code<\/td>\n<\/tr>\n
AI \u5e94\u7528\u5f00\u53d1<\/td>\npenguin-sdk\u3001penguin-cli\u3001vllm\u3001ollama\u3001llamafactory<\/td>\n\u63a5\u672c\u5730\u6a21\u578b\u3001\u90e8\u7f72\u63a8\u7406\u670d\u52a1<\/td>\n<\/tr>\n
Agent \u8c03\u4f18<\/td>\nbenchmark-design\u3001agent-evaluation\u3001agent-optimization<\/td>\n\u8bbe\u8ba1\u8bc4\u6d4b\u3001\u8dd1\u5206\u3001\u8fed\u4ee3\u4f18\u5316<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u5176\u4e2d data-analysis \u6280\u80fd\u5728\u5b98\u65b9\u57fa\u51c6\u91cc\u7cbe\u5ea6\u6700\u9ad8\u3001\u6210\u672c\u6700\u4f4e，\u9002\u5408\u9700\u8981\u9ad8\u9891\u8dd1\u5206\u6790\u4efb\u52a1\u7684\u573a\u666f\u3002<\/p>\n

\n

\u600e\u4e48\u7528？\u4e09\u79cd\u65b9\u5f0f<\/h3>\n

\u65b9\u5f0f\u4e00：\u684c\u9762\u5e94\u7528（\u6700\u7701\u4e8b）<\/h4>\n

\u53bb penguin.ooo\/download \u4e0b\u8f7d\u5bf9\u5e94\u5e73\u53f0\u7684\u5b89\u88c5\u5305，\u5185\u7f6e\u670d\u52a1\u5668，\u4e0d\u7528\u78b0\u7ec8\u7aef\u3002macOS \u548c Windows \u7248\u90fd\u505a\u4e86\u7b7e\u540d\/\u516c\u8bc1\u3002<\/p>\n

\u65b9\u5f0f\u4e8c：npm \u547d\u4ee4\u884c<\/h4>\n

npm<\/span> install<\/span> -g<\/span> @prismshadow\/penguin-cli
\npenguin web # \u6253\u5f00 http:\/\/127.0.0.1:7364<\/span><\/p>\n

\u65b9\u5f0f\u4e09：\u4e00\u952e\u811a\u672c（Linux\/macOS）<\/h4>\n

curl<\/span> -fsSL<\/span> https:\/\/penguin.ooo\/install.sh |<\/span> sh<\/span>
\npenguin web<\/p>\n

\u88c5\u597d\u4e4b\u540e，\u914d\u7f6e\u6a21\u578b\u3001\u751f\u6210\u5e94\u7528\u3001\u4ea4\u4e92\u5f0f\u5bf9\u8bdd\u90fd\u662f\u51e0\u884c\u547d\u4ee4\u7684\u4e8b：<\/p>\n

# \u914d\u7f6e\u6a21\u578b<\/span>
\npenguin config model add<\/span> \\\\<\/span>
\n –provider<\/span> deepseek \\\\<\/span>
\n –model-id deepseek-v4 \\\\<\/span>
\n –api-key sk-..<\/span>.<\/p>\n

# \u4e00\u53e5\u8bdd\u751f\u6210\u5e94\u7528<\/span>
\npenguin run -m<\/span> "\u521b\u5efa\u4e00\u4e2a RAG \u5e94\u7528，\u8bfb\u53d6 .\/docs \u76ee\u5f55，\u652f\u6301\u81ea\u7136\u8bed\u8a00\u95ee\u7b54"<\/span><\/p>\n

# \u4ea4\u4e92\u5f0f\u5bf9\u8bdd<\/span>
\npenguin chat<\/p>\n

# \u65e0 UI \u670d\u52a1\u5668\u6a21\u5f0f<\/span>
\npenguin server<\/p>\n

![\u5efa\u8bae\u914d\u56fe：\u7ec8\u7aef\u91cc\u8fd0\u884c penguin run \u547d\u4ee4\u540e，\u751f\u6210\u5e94\u7528\u7684\u8f93\u51fa\u8fc7\u7a0b]<\/p>\n

\n

\u67b6\u6784\u8bbe\u8ba1：\u51e0\u4e2a\u503c\u5f97\u8bf4\u7684\u7ec6\u8282<\/h3>\n

\u6211\u7ffb\u4e86\u4e00\u4e0b\u5b83\u7684\u67b6\u6784，\u6709\u4e24\u70b9\u5370\u8c61\u6bd4\u8f83\u6df1\u3002<\/p>\n

Monorepo + \u5171\u4eab\u6570\u636e\u76ee\u5f55\u3002\u684c\u9762\u5e94\u7528\u548c CLI \u5171\u7528\u540c\u4e00\u4e2a\u6570\u636e\u76ee\u5f55：<\/p>\n

~\/.penguin\/data\/
\n \u251c\u2500\u2500 agents\/ # Agent \u914d\u7f6e
\n \u251c\u2500\u2500 sessions\/ # \u4f1a\u8bdd\u5feb\u7167（RSI \u6bcf\u8f6e\u8fed\u4ee3\u5b58\u8fd9\u91cc）
\n \u251c\u2500\u2500 traces\/ # \u5b8c\u6574\u5de5\u5177\u8c03\u7528\u8f68\u8ff9
\n \u2514\u2500\u2500 models\/ # \u6a21\u578b\u914d\u7f6e<\/p>\n

\u8fd9\u610f\u5473\u7740\u4f60\u5728 Web UI \u91cc\u8dd1\u7684\u4f1a\u8bdd，CLI \u91cc\u4e5f\u80fd\u770b\u5230，\u914d\u7f6e\u5b8c\u5168\u4e00\u81f4\u3002<\/p>\n

SDK \u7528 async generator \u6a21\u5f0f\u3002\u628a Agent \u6267\u884c\u6d41\u5efa\u6a21\u6210"\u4e8b\u4ef6\u6d41"\u800c\u4e0d\u662f\u5355\u6b21\u8fd4\u56de，\u8fd9\u6837\u6bcf\u4e2a\u4e2d\u95f4\u6b65\u9aa4\u90fd\u80fd\u88ab\u89c2\u6d4b\u548c\u5e72\u9884\u3002\u8fd9\u4e2a\u8bbe\u8ba1\u5728\u9700\u8981\u5ba1\u6279\u7684\u573a\u666f\u4e0b\u7279\u522b\u987a\u624b\u3002<\/p>\n

async generator \u4e00\u53e5\u8bdd\u89e3\u91ca：\u4e00\u79cd\u53ef\u4ee5"\u8fb9\u6267\u884c\u8fb9\u5410\u7ed3\u679c"\u7684\u51fd\u6570，\u4e0d\u7528\u7b49\u5168\u90e8\u8dd1\u5b8c\u624d\u62ff\u5230\u8fd4\u56de\u503c\u3002<\/p>\n

\n

\u548c\u4e3b\u6d41\u6846\u67b6\u6bd4，\u5b83\u6709\u4ec0\u4e48\u4e0d\u4e00\u6837<\/h3>\n\n\u7ef4\u5ea6LangChainAutoGenPenguinHarness<\/tr>\n\n\n\n\n\n\n\n\n
\u6838\u5fc3\u5b9a\u4f4d<\/td>\n\u624b\u5de5\u62fc\u79ef\u6728<\/td>\n\u591a Agent \u534f\u4f5c<\/td>\nAI \u6784\u5efa AI<\/td>\n<\/tr>\n
\u5de5\u5177\u96c6\u89c4\u6a21<\/td>\n\u5927（\u51e0\u767e\u4e2a）<\/td>\n\u4e2d<\/td>\n\u5c0f（\u523b\u610f\u7cbe\u7b80）<\/td>\n<\/tr>\n
\u81ea\u6211\u4f18\u5316<\/td>\n\u65e0<\/td>\n\u65e0<\/td>\n\u539f\u751f RSI<\/td>\n<\/tr>\n
\u672c\u5730\u4f18\u5148<\/td>\n\u5426<\/td>\n\u5426<\/td>\n\u662f<\/td>\n<\/tr>\n
\u5168\u900f\u660e\u8f68\u8ff9<\/td>\n\u90e8\u5206<\/td>\n\u90e8\u5206<\/td>\n\u5b8c\u6574 Trace<\/td>\n<\/tr>\n
\u4e0a\u624b\u6210\u672c<\/td>\n\u9ad8<\/td>\n\u4e2d<\/td>\n\u4f4e（\u4e00\u53e5\u8bdd）<\/td>\n<\/tr>\n
\u6a21\u578b\u517c\u5bb9\u6027<\/td>\n\u5e7f<\/td>\n\u5e7f<\/td>\n1000+ \u6a21\u578b<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u9700\u8981\u8bf4\u660e\u7684\u662f，\u8fd9\u4e0d\u662f\u8bf4 LangChain \u6216 AutoGen \u4e0d\u597d\u3002\u5b83\u4eec\u5404\u6709\u5404\u7684\u9002\u7528\u573a\u666f\u3002PenguinHarness \u66f4\u50cf\u662f\u7ed9"\u60f3\u5feb\u901f\u9a8c\u8bc1\u60f3\u6cd5"\u7684\u4eba\u51c6\u5907\u7684\u4e00\u6761\u6377\u5f84\u3002<\/p>\n

\n

\u6a21\u578b\u652f\u6301：\u57fa\u672c\u5565\u90fd\u80fd\u63a5<\/h3>\n

\u652f\u6301\u4efb\u4f55 OpenAI \u534f\u8bae\u7684 endpoint，\u8986\u76d6 1000+ \u6a21\u578b：<\/p>\n

    \n
  • \u56fd\u4ea7：DeepSeek V4\u3001Kimi K3\u3001GLM 5.3\u3001Hunyuan 3\u3001Qwen 3.8 Max<\/li>\n
  • \u6d77\u5916：GPT 5.6\u3001Gemini 3.7 Flash\u3001Claude 5<\/li>\n
  • \u672c\u5730：vLLM \/ Ollama \u90e8\u7f72\u7684\u4efb\u610f\u6a21\u578b<\/li>\n<\/ul>\n

    \u672c\u5730\u6a21\u578b\u63a5\u5165\u662f\u5185\u7f6e\u6280\u80fd，\u4e0d\u662f\u8ba9\u4f60\u81ea\u5df1\u6298\u817e\u3002\u5bf9\u4e0d\u60f3\u4f9d\u8d56\u7b2c\u4e09\u65b9 API \u7684\u56e2\u961f\u6765\u8bf4，\u8fd9\u70b9\u633a\u53cb\u597d\u3002<\/p>\n

    \n

    \u9002\u5408\u8c01\u7528？<\/h3>\n

    \u6211\u68b3\u7406\u4e86\u4e00\u4e0b，\u8fd9\u51e0\u7c7b\u4eba\u5e94\u8be5\u4f1a\u6bd4\u8f83\u6709\u611f\u89c9：<\/p>\n

      \n
    • \u60f3\u5feb\u901f\u9a8c\u8bc1 Agent \u60f3\u6cd5\u7684\u5f00\u53d1\u8005：\u4e0d\u60f3\u82b1\u4e00\u5468\u642d\u6846\u67b6，\u60f3\u5148\u770b\u5230\u6548\u679c\u518d\u8bf4<\/li>\n
    • \u9700\u8981\u5b9a\u671f\u8dd1\u6570\u636e\u5206\u6790\u7684\u56e2\u961f：data-analysis \u6280\u80fd\u6210\u672c\u548c\u7cbe\u5ea6\u90fd\u6709\u4f18\u52bf<\/li>\n
    • AI \u5e73\u53f0\u5de5\u7a0b\u5e08：\u9700\u8981\u4e00\u5957\u53ef\u89e3\u91ca\u3001\u53ef\u5ba1\u8ba1\u7684 Agent \u5f00\u53d1\u57fa\u7840\u8bbe\u65bd<\/li>\n
    • \u5f00\u6e90\u6a21\u578b\u7528\u6237：\u901a\u8fc7 vLLM\/Ollama \u96c6\u6210，\u5b8c\u5168\u672c\u5730\u8dd1，\u65e0 API \u4f9d\u8d56<\/li>\n<\/ul>\n
      \n

      \u9879\u76ee\u4fe1\u606f<\/h3>\n
        \n
      • GitHub：github.com\/Prism-Shadow\/penguin-harness<\/li>\n
      • \u5b98\u7f51：penguin.ooo<\/li>\n
      • Stars：1,900+<\/li>\n
      • Forks：198<\/li>\n
      • License：Apache-2.0<\/li>\n
      • \u4e3b\u8981\u8bed\u8a00：TypeScript<\/li>\n
      • \u5b89\u88c5：npm install -g @prismshadow\/penguin-cli<\/li>\n<\/ul>\n

        \u540c\u4f5c\u8005\u7684\u76f8\u5173\u9879\u76ee\u8fd8\u6709 LlamaFactory（LLM \u5fae\u8c03\u6846\u67b6，70k+ Star），\u4ee5\u53ca\u5185\u7f6e\u652f\u6301\u7684 vLLM \u548c Ollama\u3002<\/p>\n

        \n

        \u6211\u7684\u770b\u6cd5<\/h3>\n

        PenguinHarness \u6700\u6709\u610f\u601d\u7684\u5730\u65b9\u5728\u4e8e\u5b83\u56de\u7b54\u4e86\u4e00\u4e2a\u95ee\u9898：\u5982\u679c Agent \u5df2\u7ecf\u8db3\u591f\u5f3a，\u4e3a\u4ec0\u4e48\u4e0d\u8ba9\u5b83\u6765\u6784\u5efa\u81ea\u5df1？<\/p>\n

        \u5b83\u6ca1\u6709\u8bd5\u56fe\u505a\u4e00\u4e2a"\u4ec0\u4e48\u90fd\u80fd\u5e72"\u7684\u4e07\u80fd\u6846\u67b6，\u800c\u662f\u628a\u5de5\u5177\u96c6\u6536\u7a84\u3001\u628a\u6210\u672c\u538b\u4e0b\u6765\u3001\u628a\u8fc7\u7a0b\u900f\u660e\u5316\u3002\u8fd9\u79cd\u514b\u5236\u5728\u5f53\u4e0b\u7684 Agent \u6846\u67b6\u91cc\u53cd\u800c\u6bd4\u8f83\u5c11\u89c1\u3002<\/p>\n

        \u5f53\u7136，\u5b83\u4e5f\u4e0d\u662f\u6ca1\u6709\u77ed\u677f\u3002\u9879\u76ee\u8fd8\u6bd4\u8f83\u5e74\u8f7b（1.9k Star），\u751f\u6001\u548c\u6587\u6863\u8fd8\u5728\u5b8c\u5584\u4e2d\u3002RSI \u7684\u5b9e\u9645\u6548\u679c\u5728\u4e0d\u540c\u4efb\u52a1\u4e0a\u53ef\u80fd\u6709\u6ce2\u52a8，\u9700\u8981\u81ea\u5df1\u8dd1\u4e00\u8dd1\u624d\u77e5\u9053\u9002\u4e0d\u9002\u5408\u4f60\u7684\u573a\u666f\u3002<\/p>\n

        \u4f46\u5982\u679c\u4f60\u6b63\u597d\u60f3\u5feb\u901f\u9a8c\u8bc1\u4e00\u4e2a Agent \u5e94\u7528\u7684\u60f3\u6cd5，\u6216\u8005\u60f3\u627e\u4e00\u5957\u6210\u672c\u53ef\u63a7\u3001\u8fc7\u7a0b\u900f\u660e\u7684 Agent \u5f00\u53d1\u57fa\u7840\u8bbe\u65bd，\u82b1\u4e24\u6bdb\u94b1\u8bd5\u4e00\u4e0b，\u4e0d\u4e8f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

        \u6700\u8fd1\u5728 GitHub \u4e0a\u7ffb\u5230\u4e00\u4e2a\u633a\u6709\u610f\u601d\u7684\u9879\u76ee，\u53eb PenguinHarness\u3002\u4e00\u5f00\u59cb\u662f\u88ab\u5b83\u7684 slogan \u5438\u5f15\u7684\u2014\u2014\u201cLet AI Build AI\u201d（\u8ba9 AI \u6765\u6784\u5efa AI）\u3002
        \n\u8bf4\u5b9e\u8bdd\u8fd9\u79cd\u53e3\u53f7\u6211\u89c1\u591a\u4e86，\u5927\u90e8\u5206\u90fd\u662f\u5671\u5934\u3002\u4f46\u770b\u5230\u4f5c\u8005\u662f LlamaFactory \u7684 Yaowei Zheng（\u90d1\u8000\u5a01），\u6211\u51b3\u5b9a\u82b1\u70b9\u65f6\u95f4\u7814\u7a76\u4e00\u4e0b\u3002\u6bd5\u7adf LlamaFactory \u5728\u5fae\u8c03\u5708\u5b50\u91cc\u7b97\u662f<\/p>\n","protected":false},"author":2,"featured_media":103944,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[11829,66,227],"topic":[],"class_list":["post-103945","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-penguinharness","tag-ai","tag-227"],"yoast_head":"\n2 \u6bdb\u94b1\u751f\u6210\u4e00\u4e2a Agent \u5e94\u7528\uff0c\u8fd9\u4e2a\u5f00\u6e90\u9879\u76ee\u6709\u70b9\u4e1c\u897f - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.wsisp.com\/helps\/103945.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"2 \u6bdb\u94b1\u751f\u6210\u4e00\u4e2a Agent \u5e94\u7528\uff0c\u8fd9\u4e2a\u5f00\u6e90\u9879\u76ee\u6709\u70b9\u4e1c\u897f - 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