{"id":53746,"date":"2025-02-16T10:01:11","date_gmt":"2025-02-16T02:01:11","guid":{"rendered":"https:\/\/fwq.ai\/blog\/53746\/"},"modified":"2025-02-16T10:01:11","modified_gmt":"2025-02-16T02:01:11","slug":"9%e4%b8%aaai%e5%bc%80%e5%8f%91%e5%bf%85%e5%a4%87js%e5%bc%80%e6%ba%90%e5%ba%93","status":"publish","type":"post","link":"https:\/\/fwq.ai\/blog\/53746\/","title":{"rendered":"9\u4e2aAI\u5f00\u53d1\u5fc5\u5907JS\u5f00\u6e90\u5e93"},"content":{"rendered":"<p>\u6211\u5df2\u7ecf\u4f7f\u7528 Python \u548c JavaScript \u8fdb\u884c\u5f00\u53d1\u4e00\u6bb5\u65f6\u95f4\u4e86\uff0c\u6d89\u8db3 AI \u548c\u975e AI \u9879\u76ee\u3002<\/p>\n<p>\u867d\u7136 Python \u51ed\u501f\u5176\u5e9e\u5927\u7684\u751f\u6001\u7cfb\u7edf\u65e0\u53ef\u5426\u8ba4\u5730\u4e3b\u5bfc\u7740 AI \u5f00\u53d1\u9886\u57df\uff0c\u4f46 JavaScript\/TypeScript \u62e5\u6709\u81ea\u5df1\u72ec\u7279\u7684\u4f18\u52bf\uff0c\u4f7f\u5176\u6210\u4e3a\u5f3a\u6709\u529b\u7684\u7ade\u4e89\u8005\uff1a<\/p>\n<ul>\n<li>\u6027\u80fd\uff1a\u7531\u4e8e\u5176\u5f02\u6b65\u7279\u6027\u548c\u975e\u963b\u585e I\/O\uff0cJavaScript\/TypeScript \u5728\u57fa\u4e8e Web \u7684\u5e94\u7528\u7a0b\u5e8f\u4e2d\u901a\u5e38\u4f18\u4e8e Python\u3002<\/li>\n<li>\u96c6\u6210\uff1a\u4e0e Web \u6280\u672f\u7684\u65e0\u7f1d\u517c\u5bb9\u6027\u4f7f\u521b\u5efa AI \u9a71\u52a8\u7684 Web \u5e94\u7528\u7a0b\u5e8f\u53d8\u5f97\u66f4\u52a0\u5bb9\u6613\uff0c\u800c\u65e0\u9700\u5207\u6362\u8bed\u8a00\u3002<\/li>\n<li>\u5305\u7ba1\u7406\uff1a\u8ba9\u6211\u4eec\u9762\u5bf9\u73b0\u5b9e\u2014\u2014\u4e0e Python \u7684\u751f\u6001\u7cfb\u7edf\u76f8\u6bd4\uff0cJavaScript \u7684\u5305\u7ba1\u7406\uff08npm \u548c Yarn\uff09\u66f4\u52a0\u5f3a\u5927\u4e14\u7528\u6237\u53cb\u597d\u3002<\/li>\n<\/ul>\n<p>\u867d\u7136 Python \u4ecd\u7136\u662f\u5927\u591a\u6570 AI \u5e93\u7684\u9996\u9009\uff08\u6bcf\u4e2a\u65b0\u5e93\u4f3c\u4e4e\u90fd\u63a8\u51fa\u4e86\u539f\u751f Python \u652f\u6301\uff09\uff0c\u4f46 JavaScript \u4ecd\u7136\u5728 Web \u5f00\u53d1\u9886\u57df\u5360\u636e\u4e3b\u5bfc\u5730\u4f4d\u3002 <\/p>\n<p>\u6709\u4e86\u53ef\u9760\u7684 JavaScript\/TypeScript \u652f\u6301\uff0c\u5c06 AI \u96c6\u6210\u5230 Web \u5e94\u7528\u7a0b\u5e8f\u4e2d\u53d8\u5f97\u6beb\u4e0d\u8d39\u529b\uff0c\u4ece\u800c\u6539\u5584\u4e86\u524d\u7aef\u548c\u540e\u7aef\u7684\u5f00\u53d1\u4f53\u9a8c\u3002<\/p>\n<p>\u56e0\u6b64\uff0c\u5982\u679c\u4f60\u6b63\u5728\u5bfb\u627e\u5f00\u6e90 JavaScript \u5e93\u6765\u6784\u5efa\u4ee4\u4eba\u96be\u4ee5\u7f6e\u4fe1\u7684 AI \u9a71\u52a8\u5e94\u7528\u7a0b\u5e8f\uff0c\u90a3\u4e48\u4f60\u6765\u5bf9\u5730\u65b9\u4e86\uff01<\/p>\n<p>\u6211\u6574\u7406\u4e86\u4e00\u4efd\u5fc5\u8bd5\u5e93\u5217\u8868\uff0c\u4ee5\u63d0\u5347\u4f60\u7684 AI \u5f00\u53d1\u6c34\u5e73\u3002<\/p>\n<p>\u8bf7\u968f\u610f\u63a2\u7d22\u4ed6\u4eec\u7684 GitHub \u5b58\u50a8\u5e93\uff0c\u4e3a\u4f60\u6700\u559c\u6b22\u7684\u5e93\u505a\u51fa\u8d21\u732e\uff0c\u5e76\u901a\u8fc7\u4e3a\u4ed6\u4eec\u7684\u5de5\u4f5c\u52a0\u661f\u6807\u6765\u8868\u793a\u4f60\u7684\u652f\u6301\uff01<\/p>\n<h2>1\u3001Composio \u2014 \u4ee5 10 \u500d\u7684\u901f\u5ea6\u6784\u5efa\u53ef\u9760\u7684\u4ee3\u7406<\/h2>\n<p>\u521b\u5efa\u53ef\u9760\u7684 AI \u4ee3\u7406\u53ef\u80fd\u662f\u4e00\u4e2a\u96be\u9898\uff0c\u5c24\u5176\u662f\u5f53\u4f60\u7684\u76ee\u6807\u662f\u81ea\u52a8\u5316\u6d89\u53ca Discord\u3001Slack \u6216\u65e5\u5386\u7b49\u5916\u90e8\u5de5\u5177\u7684\u5de5\u4f5c\u6d41\u7a0b\u65f6\u3002<\/p>\n<p>\u8fd9\u5c31\u662f Composio \u7684\u95ea\u5149\u70b9\uff01<\/p>\n<p> \u662f\u7528\u4e8e\u6784\u5efa AI \u9a71\u52a8\u5e94\u7528\u7a0b\u5e8f\u7684\u5c16\u7aef\u5de5\u5177\u3002\u5b83\u4f7f\u4f60\u80fd\u591f\u4e0e CRM\u3001\u751f\u4ea7\u529b\u3001\u4eba\u529b\u8d44\u6e90\u548c\u5f00\u53d1\u7b49\u5404\u4e2a\u5782\u76f4\u9886\u57df\u7684 100 \u591a\u79cd\u6d41\u884c\u5de5\u5177\u96c6\u6210\u3002\u8fd9\u4f7f\u4f60\u53ef\u4ee5\u8f7b\u677e\u5730\u81ea\u52a8\u5316\u590d\u6742\u7684\u5de5\u4f5c\u6d41\u7a0b\u3002<\/p>\n<p>Composio\u63d0\u4f9b\u539f\u751f JavaScript \u652f\u6301\uff0c\u4f7f\u5c06 AI \u4ee3\u7406\u6574\u5408\u5230\u4f60\u7684\u5e94\u7528\u4e2d\u53d8\u5f97\u8f7b\u800c\u6613\u4e3e\u3002<\/p>\n<p>\u8981\u5f00\u59cb\u4f7f\u7528 Composio\uff0c\u8bf7\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/p>\n<pre><code>npm install composio-core openai \n#yarn add composio-core openai \n#pnpm add composio-core openai<\/code><\/pre>\n<p>\u5b9a\u4e49\u4e00\u79cd\u65b9\u6cd5\u8ba9\u7528\u6237\u8fde\u63a5\u4ed6\u4eec\u7684 GitHub \u5e10\u6237\uff1a<\/p>\n<pre><code>import { OpenAI } from \"openai\";\nimport { OpenAIToolSet } from \"composio-core\";\n\nconst toolset = new OpenAIToolSet({\n  apiKey: process.env.COMPOSIO_API_KEY,\n});\n\nasync function setupUserConnectionIfNotExists(entityId) {\n  const entity = await toolset.client.getEntity(entityId);\n  const connection = await entity.getConnection('github');\n\n  if (!connection) {\n      \/\/ If this entity\/user hasn't already connected, the account\n      const connection = await entity.initiateConnection(appName);\n      console.log(\"Log in via: \", connection.redirectUrl);\n      return connection.waitUntilActive(60);\n  }\n\n  return connection;\n}<\/code><\/pre>\n<p>\u5c06\u6240\u9700\u5de5\u5177\u6dfb\u52a0\u5230 OpenAI SDK \u5e76\u5c06\u5b9e\u4f53\u540d\u79f0\u4f20\u9012\u7ed9 <code>executeAgent<\/code> \u51fd\u6570\uff1a<\/p>\n<pre><code>async function executeAgent(entityName) {\n  const entity = await toolset.client.getEntity(entityName)\n  await setupUserConnectionIfNotExists(entity.id);\n\n  const tools = await toolset.get_actions({ actions: [\"github_activity_star_repo_for_authenticated_user\"] }, entity.id);\n  const instruction = \"Star a repo ComposioHQ\/composio on GitHub\"\n\n  const client = new OpenAI({ apiKey: process.env.OPEN_AI_API_KEY })\n  const response = await client.chat.completions.create({\n      model: \"gpt-4-turbo\",\n      messages: [{\n          role: \"user\",\n          content: instruction,\n      }],\n      tools: tools,\n      tool_choice: \"auto\",\n  })\n\n  console.log(response.choices[0].message.tool_calls);\n  await toolset.handle_tool_call(response, entity.id);\n}\n\nexecuteGithubAgent(\"joey\")<\/code><\/pre>\n<p>Composio \u4e0e LangChain\u3001LlamaIndex \u548c CrewAi \u7b49\u6d41\u884c\u6846\u67b6\u65e0\u7f1d\u96c6\u6210\uff0c\u8ba9\u4f60\u80fd\u591f\u8f7b\u677e\u6267\u884c\u4ee3\u7801\uff0c\u800c\u4ee3\u7406\u4f1a\u5904\u7406\u5de5\u4f5c\u3002<\/p>\n<p>\u6709\u5173\u8be6\u7ec6\u6307\u5bfc\uff0c\u8bf7\u6d4f\u89c8\u3002\u5bf9\u4e8e\u9ad8\u7ea7\u7528\u4f8b\uff0c\u8bf7\u67e5\u770b\u5b58\u50a8\u5e93\u4e2d\u7684\u3002<\/p>\n<h2>2\u3001Instructor-JS\uff1a\u4ece LLM \u4e2d\u63d0\u53d6\u7ed3\u6784\u5316\u6570\u636e<\/h2>\n<p>\u4ece LLM \u54cd\u5e94\u4e2d\u63d0\u53d6\u6709\u610f\u4e49\u7684\u4fe1\u606f\u66fe\u7ecf\u611f\u89c9\u5f88\u9ebb\u70e6\u2014\u2014\u76f4\u5230\u73b0\u5728\u3002<\/p>\n<p> \u63d0\u4f9b\u4e86\u4e00\u79cd\u7b80\u5355\u800c\u7ed3\u6784\u5316\u7684\u65b9\u5f0f\u6765\u4ece LLM \u8f93\u51fa\u4e2d\u63d0\u53d6\u548c\u9a8c\u8bc1\u6570\u636e\u3002\u5b83\u652f\u6301 Python \u548c JavaScript\uff0cZod \u652f\u6301 JavaScript \u4e2d\u7684\u6570\u636e\u9a8c\u8bc1\u3002<\/p>\n<p>\u5165\u95e8\u5f88\u7b80\u5355\uff01\u7acb\u5373\u6df1\u5165\u4e86\u89e3\u5e76\u6539\u53d8\u4f60\u5904\u7406 LLM \u54cd\u5e94\u7684\u65b9\u5f0f\uff1a<\/p>\n<pre><code>npm i @instructor-ai\/instructor zod openai<\/code><\/pre>\n<p>\u4ece LLM \u54cd\u5e94\u4e2d\u63d0\u53d6\u4fe1\u606f\uff1a<\/p>\n<pre><code>import Instructor from \"@instructor-ai\/instructor\";\nimport OpenAI from \"openai\"\nimport { z } from \"zod\"\n\nconst oai = new OpenAI({\n  apiKey: process.env.OPENAI_API_KEY ?? undefined,\n  organization: process.env.OPENAI_ORG_ID ?? undefined\n})\n\nconst client = Instructor({\n  client: oai,\n  mode: \"TOOLS\"\n})\n\nconst UserSchema = z.object({\n  \/\/ Description will be used in the prompt\n  age: z.number().describe(\"The age of the user\"), \n  name: z.string()\n})\n\n\/\/ User will be of type z.infer&lt;typeof UserSchema&gt;\nconst user = await client.chat.completions.create({\n  messages: [{ role: \"user\", content: \"Jason Liu is 30 years old\" }],\n  model: \"gpt-3.5-turbo\",\n  response_model: { \n    schema: UserSchema, \n    name: \"User\"\n  }\n})\n\nconsole.log(user)\n\/\/ { age: 30, name: \"Jason Liu\" }<\/code><\/pre>\n<p>\u6709\u5173\u66f4\u591a\u4fe1\u606f\uff0c\u8bf7\u8bbf\u95ee\u9875\u9762\u3002<\/p>\n<h2>3\u3001CopilotKit\uff1a\u4e3a React \u5e94\u7528\u6784\u5efa AI Copilots<\/h2>\n<p>\u6b63\u5728\u5f00\u53d1\u4e00\u4e2a\u4ee4\u4eba\u5174\u594b\u7684\u9879\u76ee\u5e76\u5e0c\u671b\u4f7f\u7528 AI \u589e\u5f3a\u5b83\uff1fCopilotKit \u5c31\u662f\u4f60\u7684\u6700\u4f73\u9009\u62e9\uff01<\/p>\n<p>\u662f\u4e00\u79cd\u73b0\u6210\u7684\u89e3\u51b3\u65b9\u6848\uff0c\u53ef\u8ba9\u4f60\u5c06 AI \u529f\u80fd\u96c6\u6210\u5230\u4f60\u7684\u5e94\u7528\u7a0b\u5e8f\u6216\u4efb\u4f55\u53ef\u8bbf\u95ee\u7684\u4ee3\u7801\u5e93 (OSS) \u4e2d\u3002\u5b83\u63d0\u4f9b\u591a\u529f\u80fd React \u7ec4\u4ef6\uff08\u4f8b\u5982\u6587\u672c\u533a\u57df\u3001\u5f39\u51fa\u7a97\u53e3\u3001\u4fa7\u8fb9\u680f\u548c\u804a\u5929\u673a\u5668\u4eba\uff09\uff0c\u4ee5\u65e0\u7f1d\u5730\u4f7f\u7528 AI \u529f\u80fd\u589e\u5f3a\u4f60\u7684\u5e94\u7528\u7a0b\u5e8f\u3002<\/p>\n<p>\u5165\u95e8\u5f88\u5bb9\u6613\uff01\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u5e76\u4e3a\u4f60\u7684\u5e94\u7528\u7a0b\u5e8f\u89e3\u9501\u65b0\u7ef4\u5ea6\uff1a<\/p>\n<pre><code>npm i @copilotkit\/react-core @copilotkit\/react-ui<\/code><\/pre>\n<p>\u8981\u4f7f\u7528 CopilotKit\uff0c\u8bf7\u786e\u4fdd\u5728 CopilotKit \u63d0\u4f9b\u7a0b\u5e8f\u4e2d\u5305\u88c5\u4e0e\u5176\u4ea4\u4e92\u7684\u6240\u6709\u7ec4\u4ef6\u3002\u9996\u5148\u96c6\u6210 CopilotSidebar \u2014 \u4ee5\u540e\u53ef\u4ee5\u968f\u65f6\u5207\u6362\u5230\u5176\u4ed6 UI \u63d0\u4f9b\u5546\u8fdb\u884c\u81ea\u5b9a\u4e49\uff1a<\/p>\n<pre><code>\"use client\";\nimport { CopilotKit } from \"@copilotkit\/react-core\";\nimport { CopilotSidebar } from \"@copilotkit\/react-ui\";\nimport \"@copilotkit\/react-ui\/styles.css\";\n\nexport default function RootLayout({children}) {\n  return (\n    &lt;CopilotKit publicApiKey=\" the API key or self-host (see below)\"&gt;\n      &lt;CopilotSidebar&gt;\n        {children}\n      &lt;\/CopilotSidebar&gt;\n    &lt;\/CopilotKit&gt;\n  );\n}<\/code><\/pre>\n<p>\u53ef\u4ee5\u67e5\u770b\u4ed6\u4eec\u7684\u4ee5\u83b7\u53d6\u66f4\u591a\u4fe1\u606f\u3002<\/p>\n<h2>4\u3001E2B\uff1aAI \u5e94\u7528\u7684\u4ee3\u7801\u89e3\u91ca<\/h2>\n<p>\u6784\u5efa\u9700\u8981 LLM \u6267\u884c\u4ee3\u7801\u7684 AI Web \u5e94\u7528\u7a0b\u5e8f\uff1fE2B \u7684\u4ee3\u7801\u89e3\u91ca\u5668\u5c31\u662f\u4f60\u7684\u4e0d\u4e8c\u4e4b\u9009\u2014\u2014AI \u5206\u6790\u5e08\u548c\u8f6f\u4ef6\u5de5\u7a0b\u4ee3\u7406\u7684\u7ec8\u6781\u89e3\u51b3\u65b9\u6848\u3002<\/p>\n<p> \u63d0\u4f9b\u5b89\u5168\u7684\u4e91\u73af\u5883\uff0c\u4f7f LLM \u80fd\u591f\u5b89\u5168\u9ad8\u6548\u5730\u6267\u884c\u4ee3\u7801\u3002\u5b83\u4f7f\u7528\u719f\u6089\u7684\u5de5\u5177\uff08\u5982 GitHub \u5b58\u50a8\u5e93\u548c\u4e91\u6d4f\u89c8\u5668\uff09\u652f\u6301\u957f\u65f6\u95f4\u8fd0\u884c\u7684 AI \u8fdb\u7a0b\u3002<\/p>\n<p>\u4f7f\u7528\u4ee3\u7801\u89e3\u91ca\u5668 SDK\uff0c\u4f60\u53ef\u4ee5\u5728\u8f7b\u91cf\u7ea7\u865a\u62df\u673a\uff08E2B \u6c99\u76d2\uff09\u4e2d\u5b89\u5168\u5730\u8fd0\u884c AI \u751f\u6210\u7684\u4ee3\u7801\u3002\u6c99\u76d2\u5305\u62ec\u4e00\u4e2a Jupyter \u670d\u52a1\u5668\uff0c\u53ef\u901a\u8fc7 SDK \u5b8c\u5168\u63a7\u5236\uff0c\u4ee5\u5b9e\u73b0\u65e0\u7f1d AI \u4ee3\u7801\u6267\u884c\u3002<\/p>\n<p>\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u7acb\u5373\u5f00\u59cb\u4f7f\u7528 E2B\uff1a<\/p>\n<pre><code>npm i @e2b\/code-interpreter<\/code><\/pre>\n<p>\u6267\u884c\u7a0b\u5e8f\uff1a<\/p>\n<pre><code>import { CodeInterpreter } from '@e2b\/code-interpreter'\n\nconst sandbox = await CodeInterpreter.create()\nawait sandbox.notebook.execCell('x = 1')\n\nconst execution = await sandbox.notebook.execCell('x+=1; x')\nconsole.log(execution.text)  \/\/ outputs 2\n\nawait sandbox.close()<\/code><\/pre>\n<p>\u6709\u5173\u5982\u4f55\u4f7f\u7528 E2B \u7684\u66f4\u591a\u4fe1\u606f\uff0c\u8bf7\u8bbf\u95ee\u5176\u3002<\/p>\n<h2>5\u3001LanceDB\uff1a\u9002\u7528\u4e8e AI \u5e94\u7528\u7684\u9ad8\u6027\u80fd\u77e2\u91cf\u6570\u636e\u5e93<\/h2>\n<p>\u77e2\u91cf\u6570\u636e\u5e93\u5bf9\u4e8e AI \u5e94\u7528\u81f3\u5173\u91cd\u8981\uff0c\u5b83\u4f7f\u4f60\u80fd\u591f\u5b58\u50a8\u3001\u67e5\u8be2\u548c\u7ba1\u7406\u975e\u7ed3\u6784\u5316\u6570\u636e\uff08\u5982\u6587\u672c\u3001\u56fe\u50cf\u3001\u89c6\u9891\u548c\u97f3\u9891\uff09\u7684\u5d4c\u5165\u3002<\/p>\n<p> \u662f\u4e00\u6b3e\u9876\u7ea7\u5f00\u6e90\u77e2\u91cf\u6570\u636e\u5e93\uff0c\u5177\u6709\u539f\u751f JavaScript \u652f\u6301\u3002\u5b83\u4e13\u4e3a\u751f\u4ea7\u89c4\u6a21\u6027\u80fd\u800c\u8bbe\u8ba1\uff0c\u5e76\u5177\u6709\u4ee5\u4e0b\u529f\u80fd\uff1a<\/p>\n<ul>\n<li>\u9ad8\u901f\u77e2\u91cf\u641c\u7d22<\/li>\n<li>\u591a\u6a21\u5f0f\u652f\u6301<\/li>\n<li>\u96f6\u62f7\u8d1d\u67b6\u6784<\/li>\n<li>\u81ea\u52a8\u6570\u636e\u7248\u672c\u63a7\u5236<\/li>\n<li>GPU \u52a0\u901f\u67e5\u8be2<\/li>\n<\/ul>\n<p>\u7acb\u5373\u5f00\u59cb\u4f7f\u7528 LanceDB \u6784\u5efa\u66f4\u667a\u80fd\u7684 AI \u5e94\u7528\uff1a<\/p>\n<pre><code>npm install @lancedb\/lancedb<\/code><\/pre>\n<p>\u521b\u5efa\u548c\u67e5\u8be2\u77e2\u91cf\u6570\u636e\u5e93\uff1a<\/p>\n<pre><code>import * as lancedb from \"@lancedb\/lancedb\";\n\nconst db = await lancedb.connect(\"data\/sample-lancedb\");\nconst table = await db.createTable(\"vectors\", [\n    { id: 1, vector: [0.1, 0.2], item: \"foo\", price: 10 },\n    { id: 2, vector: [1.1, 1.2], item: \"bar\", price: 50 },\n], {mode: 'overwrite'});\n\nconst query = table.vectorSearch([0.1, 0.3]).limit(2);\nconst results = await query.toArray();\n\n\/\/ You can also search for rows by specific criteria without involving a vector search.\nconst rowsByCriteria = await table.query().where(\"price &gt;= 10\").toArray();<\/code><\/pre>\n<p>\u53ef\u4ee5\u5728\u4e2d\u627e\u5230\u6709\u5173 LanceDB \u7684\u66f4\u591a\u4fe1\u606f\u3002<\/p>\n<h2>6\u3001Trigger.Dev\uff1a\u53ef\u9760\u7684\u540e\u53f0\u4f5c\u4e1a<\/h2>\n<p>\u662f\u4e00\u4e2a\u5f00\u6e90\u5e73\u53f0\u548c SDK\uff0c\u65e8\u5728\u8f7b\u677e\u521b\u5efa\u957f\u65f6\u95f4\u8fd0\u884c\u7684\u540e\u53f0\u4f5c\u4e1a \u2014 \u4e0d\u518d\u8d85\u65f6\uff01<\/p>\n<p>\u4f7f\u7528 Trigger.Dev\uff0c\u4f60\u53ef\u4ee5\uff1a<\/p>\n<ul>\n<li>\u7f16\u5199\u6807\u51c6\u5f02\u6b65\u4ee3\u7801\uff0c\u65e0\u7f1d\u90e8\u7f72\uff0c\u5e76\u5b8c\u5168\u907f\u514d\u8d85\u65f6\u95ee\u9898\u3002<\/li>\n<li>\u53ef\u9760\u5730\u8c03\u7528 AI API\uff0c\u4f7f\u7528\u81ea\u52a8\u91cd\u8bd5\u548c\u8ddf\u8e2a\u7b49\u529f\u80fd\u5b9e\u73b0\u66f4\u987a\u7545\u7684\u6267\u884c\u3002<\/li>\n<li>\u4e0e\u73b0\u6709 SDK \u96c6\u6210\uff0c\u8f7b\u677e\u589e\u5f3a\u4f60\u7684\u5de5\u4f5c\u6d41\u7a0b\u3002<\/li>\n<\/ul>\n<p>\u7acb\u5373\u4f7f\u7528 Trigger.Dev \u7b80\u5316\u4f60\u7684\u540e\u53f0\u4f5c\u4e1a\u548c API \u96c6\u6210\uff1a<\/p>\n<pre><code>import { task } from \"@trigger.dev\/sdk\/v3\";\n\/\/ Generate an image using OpenAI Dall-E 3\nexport const generateContent = task({\n  id: \"generate-content\",\n  retry: {\n    maxAttempts: 3,\n  },\n  run: async ({ theme, description }: Payload) =&gt; {\n    const textResult = await openai.chat.completions.create({\n      model: \"gpt-4o\",\n      messages: generateTextPrompt(theme, description),\n    });\n\n    if (!textResult.choices[0]) {\n      throw new Error(\"No content, retrying\u2026\");\n    }\n\n    const imageResult = await openai.images.generate({\n      model: \"dall-e-3\",\n      prompt: generateImagePrompt(theme, description),\n    });\n\n    if (!imageResult.data[0]) {\n      throw new Error(\"No image, retrying\u2026\");\n    }\n\n    return {\n      text: textResult.choices[0],\n      image: imageResult.data[0].url,\n    };\n  },\n});<\/code><\/pre>\n<h2>7\u3001Vercel AI SDK\uff1a\u7528 TypeScript \u6784\u5efa AI \u5e94\u7528<\/h2>\n<p>\u5982\u679c\u4f60\u6b63\u5728\u6784\u5efa\u5168\u6808 AI \u9a71\u52a8\u7684\u5e94\u7528\u7a0b\u5e8f\uff0c\u662f\u4f60\u7684\u9996\u9009\u5de5\u5177\u5305\u3002<\/p>\n<p>\u4e13\u4e3a\u5f00\u53d1\u4eba\u5458\u8bbe\u8ba1\uff0c\u652f\u6301 React\u3001Vue\u3001Next.js\u3001SvelteKit \u7b49\u6846\u67b6\u3002SDK \u901a\u8fc7\u4ee5\u4e0b\u65b9\u5f0f\u7b80\u5316\u5f00\u53d1\uff1a<\/p>\n<ul>\n<li>\u62bd\u8c61 LLM \u63d0\u4f9b\u7a0b\u5e8f<\/li>\n<li>\u6d88\u9664\u804a\u5929\u673a\u5668\u4eba\u7684\u6837\u677f\u4ee3\u7801<\/li>\n<li>\u63d0\u4f9b\u4ea4\u4e92\u5f0f\u53ef\u89c6\u5316\u7ec4\u4ef6\u4ee5\u521b\u5efa\u4e30\u5bcc\u7684\u7528\u6237\u4f53\u9a8c<\/li>\n<\/ul>\n<p>Vercel AI SDK \u5206\u4e3a\u4e09\u4e2a\u5f3a\u5927\u7684\u6a21\u5757\uff1a<\/p>\n<ul>\n<li>AI SDK Core\uff1a\u7528\u4e8e\u751f\u6210\u6587\u672c\u3001\u7ed3\u6784\u5316\u6570\u636e\u548c\u4e0e LLM \u7684\u5de5\u5177\u4ea4\u4e92\u7684\u7edf\u4e00 API\u3002<\/li>\n<li>AI SDK UI\uff1a\u72ec\u7acb\u4e8e\u6846\u67b6\u7684\u94a9\u5b50\uff0c\u7528\u4e8e\u5feb\u901f\u6784\u5efa\u804a\u5929\u548c\u751f\u6210 UI\u3002<\/li>\n<li>AI SDK RSC\uff1a\u4f7f\u7528 React Server Components (RSC) \u6d41\u5f0f\u751f\u6210 UI \u7684\u5e93\u3002<\/li>\n<\/ul>\n<p>\u7acb\u5373\u5b89\u88c5\u5e93\u5e76\u5f00\u59cb\u6784\u5efa\u66f4\u667a\u80fd\u7684 AI Web \u5e94\u7528\u7a0b\u5e8f\uff1a<\/p>\n<pre><code>npm install ai<\/code><\/pre>\n<p>\u5b89\u88c5\u4f60\u9009\u62e9\u7684\u6a21\u578b\u63d0\u4f9b\u7a0b\u5e8f\u3002<\/p>\n<p>\u8c03\u7528 OpenAI API\uff1a<\/p>\n<pre><code>import { generateText } from 'ai';\nimport { openai } from '@ai-sdk\/openai'; \/\/ Ensure OPENAI_API_KEY environment variable is set\n\nasync function main() {\n  const { text } = await generateText({\n    model: openai('gpt-4-turbo'),\n    system: 'You are a friendly assistant!',\n    prompt: 'Why is the sky blue?',\n  });\n\n  console.log(text);\n}\n\nmain();<\/code><\/pre>\n<p>\u6709\u5173 Vercel AI SDK \u7684\u66f4\u591a\u4fe1\u606f\uff0c\u8bf7\u8bbf\u95ee\u5176\u3002<\/p>\n<h2>8\u3001Julep\uff1aAI \u5e94\u7528\u7a0b\u5e8f\u7684\u6258\u7ba1\u540e\u7aef<\/h2>\n<p>\u6784\u5efa\u5177\u6709\u957f\u671f\u8bb0\u5fc6\u7684 AI \u5e94\u7528\u7a0b\u5e8f\u7edd\u975e\u6613\u4e8b\u3002\u4f46 Julep\uff08\u4e00\u4e2a\u5f00\u6e90 AI \u5e73\u53f0\uff09\u8f7b\u677e\u89e3\u51b3\u4e86\u8fd9\u4e00\u6311\u6218\u3002<\/p>\n<p>\u5c06  \u89c6\u4e3a AI \u7684 Firebase \u6216 Supabase\u3002\u5b83\u63d0\u4f9b\uff1a<\/p>\n<ul>\n<li>\u5185\u5b58\uff1a\u7528\u6237\u7ba1\u7406\u4ee5\u5b58\u50a8\u957f\u671f\u6570\u636e\u3002<\/li>\n<li>\u77e5\u8bc6\uff1a\u5185\u7f6e RAG\uff08\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff09\u548c\u4e0a\u4e0b\u6587\u7ba1\u7406\u3002<\/li>\n<li>\u5de5\u5177\uff1a\u4e0e Composio \u548c\u5176\u4ed6\u5e73\u53f0\u96c6\u6210\u3002<\/li>\n<li>\u4efb\u52a1\uff08\u5373\u5c06\u63a8\u51fa\uff01\uff09<\/li>\n<\/ul>\n<p>\u5b83\u8fd8\u63d0\u4f9b JavaScript \u652f\u6301\uff0c\u4fbf\u4e8e\u96c6\u6210\u3002<\/p>\n<p>\u67e5\u770b\u4ee5\u4e86\u89e3\u66f4\u591a\u4fe1\u606f\uff01 <\/p>\n<h2>9\u3001Gateway\uff1a\u8bbf\u95ee 200 \u591a\u4e2a LLM \u7684\u5355\u4e00 API<\/h2>\n<p>\u5728\u6784\u5efa AI \u5e94\u7528\u7a0b\u5e8f\u65f6\uff0c\u7ba1\u7406\u6765\u81ea\u4e0d\u540c\u63d0\u4f9b\u5546\u7684\u591a\u4e2a LLM \u53ef\u80fd\u5177\u6709\u6311\u6218\u6027\uff0c\u5c24\u5176\u662f\u6bcf\u4e2a\u63d0\u4f9b\u5546\u90fd\u6709\u72ec\u7279\u7684 SDK\u3002<\/p>\n<p> \u901a\u8fc7\u63d0\u4f9b\u7edf\u4e00\u7684 API \u6765\u8bbf\u95ee 200 \u591a\u4e2a\u5f00\u6e90\u548c\u95ed\u6e90\u6a21\u578b\uff0c\u4ece\u800c\u7b80\u5316\u4e86\u8fd9\u4e00\u8fc7\u7a0b\u3002\u5b83\u5df2\u51c6\u5907\u597d\u6295\u5165\u751f\u4ea7\uff0c\u5177\u6709\u4ee5\u4e0b\u529f\u80fd\uff1a<\/p>\n<ul>\n<li>\u7f13\u5b58<\/li>\n<li>\u56de\u9000<\/li>\n<li>\u91cd\u8bd5<\/li>\n<li>\u8d85\u65f6<\/li>\n<li>\u8d1f\u8f7d\u5e73\u8861<\/li>\n<\/ul>\n<p>\u6b64\u5916\uff0c\u5b83\u8fd8\u652f\u6301\u8fb9\u7f18\u90e8\u7f72\u4ee5\u5b9e\u73b0\u6700\u5c0f\u5ef6\u8fdf\uff0c\u4ece\u800c\u786e\u4fdd\u6700\u4f73\u6027\u80fd\u3002<\/p>\n<p>\u8981\u5728\u672c\u5730\u8fd0\u884c Gateway\uff0c\u53ea\u9700\u5728\u4f60\u7684\u7ec8\u7aef\u4e2d\u6267\u884c\u4ee5\u4e0b\u547d\u4ee4\uff0c\u5b83\u5c31\u4f1a\u5728\u4f60\u7684\u7cfb\u7edf\u4e0a\u542f\u52a8\u670d\u52a1\uff1a<\/p>\n<pre><code>npx @portkey-ai\/gateway<\/code><\/pre>\n<p>\u6709\u5173\u66f4\u591a\u4fe1\u606f\uff0c\u8bf7\u53c2\u9605\u4ed6\u4eec\u7684\u3002<\/p>\n<h2>10\u3001\u7ed3\u675f\u8bed<\/h2>\n<p>AI \u5f00\u53d1\u7684\u4e16\u754c\u5df2\u7ecf\u53d1\u5c55\u58ee\u5927\uff0c\u6709\u4e86\u5408\u9002\u7684\u5de5\u5177\uff0c\u6784\u5efa AI \u9a71\u52a8\u7684\u5e94\u7528\u7a0b\u5e8f\u4ece\u672a\u5982\u6b64\u7b80\u5355\u3002\u4ece\u526f\u9a7e\u9a76\u548c\u77e2\u91cf\u6570\u636e\u5e93\u5230\u4ee3\u7801\u89e3\u91ca\u5668\u548c\u6258\u7ba1\u540e\u7aef\uff0c\u8fd9\u4e9b JavaScript \u5e93\u4e3a\u4f60\u7684\u9879\u76ee\u5e26\u6765\u4e86\u5f3a\u5927\u7684\u529f\u80fd\u3002<\/p>\n<ul>\n<li>Instructor-JS \u7b80\u5316\u4e86\u7ed3\u6784\u5316\u6570\u636e\u63d0\u53d6\uff0c\u6d88\u9664\u4e86\u5de5\u4f5c\u4e2d\u4e0e LLM \u7ed3\u5408\u4f7f\u7528\u7684\u9ebb\u70e6\u3002<\/li>\n<li>CopilotKit \u53ef\u5c06 AI \u526f\u9a7e\u9a76\u5458\u65e0\u7f1d\u96c6\u6210\u5230\u60a8\u7684 React \u5e94\u7528\u7a0b\u5e8f\u4e2d\u3002<\/li>\n<li>E2B \u4e3a\u8fd0\u884c AI \u4ee3\u7801\u548c\u957f\u671f\u6267\u884c\u63d0\u4f9b\u5b89\u5168\u53ef\u9760\u7684\u73af\u5883\u3002<\/li>\n<li>LanceDB \u4e3a AI \u6a21\u578b\u7684\u77e2\u91cf\u6570\u636e\u63d0\u4f9b\u9ad8\u6548\u7ba1\u7406\u3002<\/li>\n<li>Trigger.Dev \u786e\u4fdd\u53ef\u9760\u3001\u957f\u65f6\u95f4\u8fd0\u884c\u7684\u540e\u53f0\u4f5c\u4e1a\u4e0d\u4f1a\u8d85\u65f6\u3002<\/li>\n<li>Vercel AI SDK \u53ef\u5e2e\u52a9\u4f60\u4f7f\u7528 React \u548c Vue \u7b49\u5404\u79cd\u6846\u67b6\u8f7b\u677e\u6784\u5efa AI Web \u5e94\u7528\u7a0b\u5e8f\u3002<\/li>\n<li>Julep \u63d0\u4f9b\u5177\u6709\u5185\u5b58\u3001\u77e5\u8bc6\u548c\u5de5\u5177\u96c6\u6210\u7684\u5f00\u6e90\u540e\u7aef\u89e3\u51b3\u65b9\u6848\u3002<\/li>\n<li>Gateway \u4f7f\u7528\u53ef\u7528\u4e8e\u751f\u4ea7\u7684 API \u7edf\u4e00\u4e86\u5bf9 200 \u591a\u4e2a AI \u5e94\u7528\u7a0b\u5e8f LLM \u7684\u8bbf\u95ee\u3002<\/li>\n<\/ul>\n<p>\u8fd9\u4e9b\u5e93\u4e0d\u4ec5\u53ef\u4ee5\u7b80\u5316\u4f60\u7684\u5de5\u4f5c\u6d41\u7a0b\uff0c\u8fd8\u53ef\u4ee5\u5e2e\u52a9\u4f60\u521b\u5efa\u9ad8\u6027\u80fd\u3001AI 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