{"id":73992,"date":"2026-02-08T21:41:57","date_gmt":"2026-02-08T13:41:57","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/73992.html"},"modified":"2026-02-08T21:41:57","modified_gmt":"2026-02-08T13:41:57","slug":"%e6%99%ba%e8%83%bd%e4%bd%93%e5%85%83%e5%b9%b4%e6%9d%a5%e4%ba%86%ef%bc%9a%e7%a8%8b%e5%ba%8f%e5%91%98%e5%bf%85%e6%87%82%e7%9a%84-6-%e5%a4%a7-agent-%e5%b7%a5%e4%bd%9c%e6%b5%81%e8%ae%be%e8%ae%a1%e6%a8%a1","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/73992.html","title":{"rendered":"\u667a\u80fd\u4f53\u5143\u5e74\u6765\u4e86\uff1a\u7a0b\u5e8f\u5458\u5fc5\u61c2\u7684 6 \u5927 Agent \u5de5\u4f5c\u6d41\u8bbe\u8ba1\u6a21\u5f0f\uff08\u9644\u5b9e\u6218\u6848\u4f8b\uff09"},"content":{"rendered":"

1. \u5f15\u8a00：\u4ece Prompt Engineering \u5230 Agentic Workflow<\/h3>\n

2.0 \u65f6\u4ee3\u7684 AI \u5f00\u53d1，\u6838\u5fc3\u4e0d\u518d\u662f\u5199\u51fa\u201c\u5b8c\u7f8e\u7684\u63d0\u793a\u8bcd\u201d，\u800c\u662f\u6784\u5efa\u201c\u5b8c\u7f8e\u7684\u6d41\u7a0b\u201d\u3002\u5434\u6069\u8fbe\u6559\u6388\u66fe\u63d0\u5230：\u201c\u5373\u4f7f\u662f\u8f83\u5f31\u7684\u6a21\u578b，\u5728\u4f18\u79c0\u7684\u5de5\u4f5c\u6d41\u8bbe\u8ba1\u4e0b，\u5176\u8868\u73b0\u4e5f\u80fd\u8d85\u8fc7\u7f3a\u4e4f\u6d41\u7a0b\u7684\u6700\u5f3a\u6a21\u578b\u3002\u201d<\/p>\n

\u5bf9\u4e8e\u7a0b\u5e8f\u5458\u800c\u8a00，Agent \u6a21\u5f0f\u610f\u5473\u7740\u6211\u4eec\u5c06 AI \u89c6\u4e3a\u4e00\u4e2a\u5f02\u6b65\u7684\u3001\u6709\u72b6\u6001\u7684\u51fd\u6570\u6267\u884c\u5668\u3002\u4eca\u5929，\u6211\u4eec\u5c06\u6df1\u5ea6\u62c6\u89e3 6 \u5927\u6838\u5fc3\u6a21\u5f0f，\u5e76\u91cd\u70b9\u5b9e\u6218\u6700\u5177\u751f\u547d\u529b\u7684\u201c\u591a\u667a\u80fd\u4f53\u534f\u4f5c\u201d\u6a21\u5f0f\u3002<\/p>\n

\n

2. \u7a0b\u5e8f\u5458\u5fc5\u8bfb：Agent \u5de5\u4f5c\u6d41\u7684 6 \u5927\u8bbe\u8ba1\u6a21\u5f0f<\/h3>\n

\u4e3a\u4e86\u65b9\u4fbf\u7406\u89e3，\u6211\u4eec\u5c06\u8fd9\u4e9b\u6a21\u5f0f\u603b\u7ed3\u4e3a\u4e0b\u8868：<\/p>\n\n\u6a21\u5f0f\u540d\u79f0\u6838\u5fc3\u903b\u8f91\u9002\u7528\u573a\u666f\u590d\u6742\u5ea6<\/tr>\n\n\n\n\n\n\n\n
Reflection (\u53cd\u601d)<\/td>\n\u751f\u6210 -> \u8bc4\u4ef7 -> \u4fee\u6b63<\/td>\n\u4ee3\u7801\u751f\u6210\u3001\u6587\u6848\u6da6\u8272<\/td>\n\u2b50\u2b50<\/td>\n<\/tr>\n
**Tool Use (\u5de5\u5177) **<\/td>\n\u8bc6\u522b\u9700\u6c42 -> \u8c03\u7528\u5916\u90e8 API<\/td>\n\u641c\u7d22\u3001\u6267\u884c\u6570\u5b66\u8ba1\u7b97<\/td>\n\u2b50\u2b50<\/td>\n<\/tr>\n
Planning (\u89c4\u5212)<\/td>\n\u5206\u89e3\u4efb\u52a1 -> \u9010\u6b65\u6267\u884c<\/td>\n\u590d\u6742\u9879\u76ee\u7ba1\u7406\u3001\u65c5\u884c\u89c4\u5212<\/td>\n\u2b50\u2b50\u2b50<\/td>\n<\/tr>\n
Multi-agent (\u534f\u4f5c)<\/td>\n\u89d2\u8272\u5206\u5de5 -> \u6d88\u606f\u603b\u7ebf -> \u5171\u8bc6<\/td>\n\u8f6f\u4ef6\u5f00\u53d1\u5168\u6d41\u7a0b\u3001\u5e02\u573a\u8c03\u7814<\/td>\n\u2b50\u2b50\u2b50\u2b50\u2b50<\/td>\n<\/tr>\n
Dynamic Control (\u52a8\u6001)<\/td>\n\u6839\u636e\u4e2d\u95f4\u7ed3\u679c\u8c03\u6574\u5206\u652f\u8def\u5f84<\/td>\n\u81ea\u52a8\u5316\u6545\u969c\u6392\u67e5<\/td>\n\u2b50\u2b50\u2b50\u2b50<\/td>\n<\/tr>\n
Memory Management (\u8bb0\u5fc6)<\/td>\n\u77ed\u671f\u7f13\u5b58 + \u5411\u91cf\u6570\u636e\u5e93\u957f\u671f\u68c0\u7d22<\/td>\n\u4e2a\u4eba\u52a9\u7406\u3001\u957f\u6587\u672c\u5206\u6790<\/td>\n\u2b50\u2b50\u2b50<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n

3. \u6838\u5fc3\u6a21\u5f0f\u6df1\u5ea6\u5256\u6790：\u591a\u667a\u80fd\u4f53\u534f\u4f5c (Multi-agent Collaboration)<\/h3>\n

\u591a\u667a\u80fd\u4f53\u534f\u4f5c\u7684\u672c\u8d28\u662f**\u201c\u5206\u6cbb\u6cd5\u201d**\u3002<\/p>\n

\u5728 LangGraph \u6846\u67b6\u4e0b，\u6bcf\u4e2a Agent \u88ab\u62bd\u8c61\u4e3a\u4e00\u4e2a\u8282\u70b9 (Node)，\u5b83\u4eec\u4e4b\u95f4\u7684\u4ea4\u4e92\u5219\u662f\u8fb9 (Edge)\u3002\u8fd9\u89e3\u51b3\u4e86\u4f20\u7edf LangChain Chain \u6a21\u5f0f\u4e0b\u96be\u4ee5\u5904\u7406\u7684\u201c\u5faa\u73af\u8fed\u4ee3\u201d\u548c\u201c\u72b6\u6001\u56de\u6eaf\u201d\u95ee\u9898\u3002<\/p>\n

3.1 \u4e3a\u4ec0\u4e48\u9009\u62e9 LangGraph？<\/h4>\n

\u4f20\u7edf\u7684\u7ebf\u6027\u5de5\u4f5c\u6d41（Chain）\u50cf\u662f\u4e00\u6839\u7b4b\u7684\u6d41\u6c34\u7ebf，\u800c LangGraph \u5141\u8bb8\u6211\u4eec\u6784\u5efa\u6709\u73af\u56fe（Cyclic Graph）\u3002<\/p>\n

    \n
  • \u72b6\u6001\u6301\u4e45\u5316：\u80fd\u591f\u4fdd\u5b58\u4e2d\u95f4\u5bf9\u8bdd\u72b6\u6001\u3002<\/li>\n
  • \u4eba\u673a\u534f\u4f5c\u6a21\u5f0f：\u652f\u6301\u5728\u7279\u5b9a\u8282\u70b9\u63d2\u5165\u201c\u4eba\u5de5\u5ba1\u6279\u201d\u3002<\/li>\n
  • \u7ec6\u7c92\u5ea6\u63a7\u5236：\u7cbe\u51c6\u63a7\u5236\u54ea\u4e2a Agent \u5728\u4ec0\u4e48\u65f6\u5019\u53d1\u8a00\u3002<\/li>\n<\/ul>\n
    \n

    4. \u5b9e\u6218\u6f14\u793a：\u57fa\u4e8e LangGraph \u6784\u5efa\u201c\u6280\u672f\u6587\u7ae0\u521b\u4f5c\u56e2\u961f\u201d<\/h3>\n

    \u6211\u4eec\u5c06\u6a21\u62df\u4e00\u4e2a\u5c0f\u578b\u5de5\u4f5c\u5ba4：\u4e00\u4e2a Researcher（\u7814\u7a76\u5458） \u8d1f\u8d23\u641c\u96c6\u8d44\u6599，\u4e00\u4e2a Writer（\u4f5c\u5bb6） \u8d1f\u8d23\u64b0\u5199，\u4e00\u4e2a Reviewer（\u5ba1\u6838\u5458） \u8d1f\u8d23\u627e\u832c\u53cd\u9988\u3002<\/p>\n

    4.1 \u67b6\u6784\u8bbe\u8ba1（Mermaid \u6e32\u67d3）<\/h4>\n

    #mermaid-svg-l2VOf8poD32sG2bn{font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;font-size:16px;fill:#333;}@keyframes edge-animation-frame{from{stroke-dashoffset:0;}}@keyframes dash{to{stroke-dashoffset:0;}}#mermaid-svg-l2VOf8poD32sG2bn .edge-animation-slow{stroke-dasharray:9,5!important;stroke-dashoffset:900;animation:dash 50s linear infinite;stroke-linecap:round;}#mermaid-svg-l2VOf8poD32sG2bn .edge-animation-fast{stroke-dasharray:9,5!important;stroke-dashoffset:900;animation:dash 20s linear infinite;stroke-linecap:round;}#mermaid-svg-l2VOf8poD32sG2bn .error-icon{fill:#552222;}#mermaid-svg-l2VOf8poD32sG2bn .error-text{fill:#552222;stroke:#552222;}#mermaid-svg-l2VOf8poD32sG2bn .edge-thickness-normal{stroke-width:1px;}#mermaid-svg-l2VOf8poD32sG2bn .edge-thickness-thick{stroke-width:3.5px;}#mermaid-svg-l2VOf8poD32sG2bn .edge-pattern-solid{stroke-dasharray:0;}#mermaid-svg-l2VOf8poD32sG2bn .edge-thickness-invisible{stroke-width:0;fill:none;}#mermaid-svg-l2VOf8poD32sG2bn .edge-pattern-dashed{stroke-dasharray:3;}#mermaid-svg-l2VOf8poD32sG2bn .edge-pattern-dotted{stroke-dasharray:2;}#mermaid-svg-l2VOf8poD32sG2bn .marker{fill:#333333;stroke:#333333;}#mermaid-svg-l2VOf8poD32sG2bn .marker.cross{stroke:#333333;}#mermaid-svg-l2VOf8poD32sG2bn svg{font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;font-size:16px;}#mermaid-svg-l2VOf8poD32sG2bn p{margin:0;}#mermaid-svg-l2VOf8poD32sG2bn .label{font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;color:#333;}#mermaid-svg-l2VOf8poD32sG2bn .cluster-label text{fill:#333;}#mermaid-svg-l2VOf8poD32sG2bn .cluster-label span{color:#333;}#mermaid-svg-l2VOf8poD32sG2bn .cluster-label span p{background-color:transparent;}#mermaid-svg-l2VOf8poD32sG2bn .label text,#mermaid-svg-l2VOf8poD32sG2bn span{fill:#333;color:#333;}#mermaid-svg-l2VOf8poD32sG2bn .node rect,#mermaid-svg-l2VOf8poD32sG2bn .node circle,#mermaid-svg-l2VOf8poD32sG2bn .node ellipse,#mermaid-svg-l2VOf8poD32sG2bn .node polygon,#mermaid-svg-l2VOf8poD32sG2bn .node path{fill:#ECECFF;stroke:#9370DB;stroke-width:1px;}#mermaid-svg-l2VOf8poD32sG2bn .rough-node .label text,#mermaid-svg-l2VOf8poD32sG2bn .node .label text,#mermaid-svg-l2VOf8poD32sG2bn .image-shape .label,#mermaid-svg-l2VOf8poD32sG2bn .icon-shape .label{text-anchor:middle;}#mermaid-svg-l2VOf8poD32sG2bn .node .katex path{fill:#000;stroke:#000;stroke-width:1px;}#mermaid-svg-l2VOf8poD32sG2bn .rough-node .label,#mermaid-svg-l2VOf8poD32sG2bn .node .label,#mermaid-svg-l2VOf8poD32sG2bn .image-shape .label,#mermaid-svg-l2VOf8poD32sG2bn .icon-shape .label{text-align:center;}#mermaid-svg-l2VOf8poD32sG2bn .node.clickable{cursor:pointer;}#mermaid-svg-l2VOf8poD32sG2bn .root .anchor path{fill:#333333!important;stroke-width:0;stroke:#333333;}#mermaid-svg-l2VOf8poD32sG2bn .arrowheadPath{fill:#333333;}#mermaid-svg-l2VOf8poD32sG2bn .edgePath .path{stroke:#333333;stroke-width:2.0px;}#mermaid-svg-l2VOf8poD32sG2bn .flowchart-link{stroke:#333333;fill:none;}#mermaid-svg-l2VOf8poD32sG2bn .edgeLabel{background-color:rgba(232,232,232, 0.8);text-align:center;}#mermaid-svg-l2VOf8poD32sG2bn .edgeLabel p{background-color:rgba(232,232,232, 0.8);}#mermaid-svg-l2VOf8poD32sG2bn .edgeLabel rect{opacity:0.5;background-color:rgba(232,232,232, 0.8);fill:rgba(232,232,232, 0.8);}#mermaid-svg-l2VOf8poD32sG2bn .labelBkg{background-color:rgba(232, 232, 232, 0.5);}#mermaid-svg-l2VOf8poD32sG2bn .cluster rect{fill:#ffffde;stroke:#aaaa33;stroke-width:1px;}#mermaid-svg-l2VOf8poD32sG2bn .cluster text{fill:#333;}#mermaid-svg-l2VOf8poD32sG2bn .cluster span{color:#333;}#mermaid-svg-l2VOf8poD32sG2bn div.mermaidTooltip{position:absolute;text-align:center;max-width:200px;padding:2px;font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;font-size:12px;background:hsl(80, 100%, 96.2745098039%);border:1px solid #aaaa33;border-radius:2px;pointer-events:none;z-index:100;}#mermaid-svg-l2VOf8poD32sG2bn .flowchartTitleText{text-anchor:middle;font-size:18px;fill:#333;}#mermaid-svg-l2VOf8poD32sG2bn rect.text{fill:none;stroke-width:0;}#mermaid-svg-l2VOf8poD32sG2bn .icon-shape,#mermaid-svg-l2VOf8poD32sG2bn .image-shape{background-color:rgba(232,232,232, 0.8);text-align:center;}#mermaid-svg-l2VOf8poD32sG2bn .icon-shape p,#mermaid-svg-l2VOf8poD32sG2bn .image-shape p{background-color:rgba(232,232,232, 0.8);padding:2px;}#mermaid-svg-l2VOf8poD32sG2bn .icon-shape rect,#mermaid-svg-l2VOf8poD32sG2bn .image-shape rect{opacity:0.5;background-color:rgba(232,232,232, 0.8);fill:rgba(232,232,232, 0.8);}#mermaid-svg-l2VOf8poD32sG2bn .label-icon{display:inline-block;height:1em;overflow:visible;vertical-align:-0.125em;}#mermaid-svg-l2VOf8poD32sG2bn .node .label-icon path{fill:currentColor;stroke:revert;stroke-width:revert;}#mermaid-svg-l2VOf8poD32sG2bn :root{–mermaid-font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;}<\/span><\/span><\/span><\/p>\n

    \u53cd\u9988\u4fee\u6539\u5efa\u8bae<\/p>\n

    <\/span><\/p>\n

    \u5ba1\u6838\u901a\u8fc7<\/p>\n

    <\/span><\/p>\n

    \u5f00\u59cb<\/p>\n

    <\/span><\/p>\n

    Researcher Agent<\/p>\n

    <\/span><\/p>\n

    Writer Agent<\/p>\n

    <\/span><\/p>\n

    Reviewer Agent<\/p>\n

    <\/span><\/p>\n

    \u53d1\u5e03<\/p>\n

    <\/span><\/p>\n

    4.2 \u6838\u5fc3\u4ee3\u7801\u5b9e\u73b0 (Python + LangGraph)<\/h4>\n

    import<\/span> operator
    \nfrom<\/span> typing import<\/span> Annotated,<\/span> List,<\/span> TypedDict
    \nfrom<\/span> langgraph.<\/span>graph import<\/span> StateGraph,<\/span> END<\/p>\n

    # 1. \u5b9a\u4e49\u72b6\u6001\u5bf9\u8c61：\u8fd9\u662f Agent \u4e4b\u95f4\u5171\u4eab\u7684\u201c\u9ed1\u677f\u201d<\/span>
    \nclass<\/span> AgentState<\/span>(<\/span>TypedDict)<\/span>:<\/span>
    \n topic:<\/span> str<\/span>
    \n content:<\/span> str<\/span>
    \n feedback:<\/span> str<\/span>
    \n revision_count:<\/span> int<\/span><\/p>\n

    # 2. \u5b9a\u4e49 Researcher \u8282\u70b9<\/span>
    \ndef<\/span> researcher_node<\/span>(<\/span>state:<\/span> AgentState)<\/span>:<\/span>
    \n topic =<\/span> state[<\/span>'topic'<\/span>]<\/span>
    \n # \u6a21\u62df\u8c03\u7528\u641c\u7d22\u5de5\u5177<\/span>
    \n research_notes =<\/span> f"\u5173\u4e8e <\/span>{<\/span>topic}<\/span><\/span> \u7684\u6700\u65b0\u6280\u672f\u8d8b\u52bf\u662f…"<\/span><\/span>
    \n return<\/span> {<\/span>"content"<\/span>:<\/span> research_notes}<\/span><\/p>\n

    # 3. \u5b9a\u4e49 Writer \u8282\u70b9<\/span>
    \ndef<\/span> writer_node<\/span>(<\/span>state:<\/span> AgentState)<\/span>:<\/span>
    \n content =<\/span> state[<\/span>'content'<\/span>]<\/span>
    \n feedback =<\/span> state.<\/span>get(<\/span>'feedback'<\/span>,<\/span> ""<\/span>)<\/span>
    \n # \u6839\u636e\u53cd\u9988\u4fee\u6539<\/span>
    \n draft =<\/span> f"\u57fa\u4e8e\u8d44\u6599: <\/span>{<\/span>content}<\/span><\/span>\u3002\u9488\u5bf9\u53cd\u9988: <\/span>{<\/span>feedback}<\/span><\/span> \u521b\u4f5c\u7684\u535a\u6587\u3002"<\/span><\/span>
    \n return<\/span> {<\/span>"content"<\/span>:<\/span> draft,<\/span> "revision_count"<\/span>:<\/span> state.<\/span>get(<\/span>'revision_count'<\/span>,<\/span> 0<\/span>)<\/span> +<\/span> 1<\/span>}<\/span><\/p>\n

    # 4. \u5b9a\u4e49 Reviewer \u8282\u70b9（\u63a7\u5236\u6d41\u6838\u5fc3）<\/span>
    \ndef<\/span> reviewer_node<\/span>(<\/span>state:<\/span> AgentState)<\/span>:<\/span>
    \n if<\/span> len<\/span>(<\/span>state[<\/span>'content'<\/span>]<\/span>)<\/span> ><\/span> 100<\/span>:<\/span>
    \n return<\/span> "accept"<\/span>
    \n return<\/span> "reject"<\/span><\/p>\n

    # 5. \u6784\u5efa\u5de5\u4f5c\u6d41\u56fe<\/span>
    \nworkflow =<\/span> StateGraph(<\/span>AgentState)<\/span><\/p>\n

    workflow.<\/span>add_node(<\/span>"researcher"<\/span>,<\/span> researcher_node)<\/span>
    \nworkflow.<\/span>add_node(<\/span>"writer"<\/span>,<\/span> writer_node)<\/span><\/p>\n

    workflow.<\/span>set_entry_point(<\/span>"researcher"<\/span>)<\/span>
    \nworkflow.<\/span>add_edge(<\/span>"researcher"<\/span>,<\/span> "writer"<\/span>)<\/span><\/p>\n

    # \u589e\u52a0\u903b\u8f91\u5206\u652f：\u5982\u679c Reviewer \u62d2\u7edd，\u5219\u56de\u8df3\u5230 Writer<\/span>
    \nworkflow.<\/span>add_conditional_edges(<\/span>
    \n "writer"<\/span>,<\/span>
    \n reviewer_node,<\/span>
    \n {<\/span>
    \n "accept"<\/span>:<\/span> END,<\/span>
    \n "reject"<\/span>:<\/span> "writer"<\/span>
    \n }<\/span>
    \n)<\/span><\/p>\n

    app =<\/span> workflow.<\/span>compile<\/span>(<\/span>)<\/span><\/p>\n

    \n

    5. \u8d44\u6df1\u5f00\u53d1\u8005\u8fdb\u9636：\u5927\u6d41\u91cf\u4e0b\u7684 Agent \u6027\u80fd\u4e0e\u6210\u672c\u63a7\u5236<\/h3>\n

    \u5728\u751f\u4ea7\u73af\u5883\u4e0b，Agent \u5de5\u4f5c\u6d41\u4f1a\u9762\u4e34\u4e24\u4e2a\u4e25\u5cfb\u6311\u6218：Token \u6d88\u8017\u548c\u54cd\u5e94\u5ef6\u8fdf\u3002<\/p>\n

    5.1 \u72b6\u6001\u88c1\u526a (State Management)<\/h4>\n

    \u968f\u7740 Agent \u5f80\u590d\u5bf9\u8bdd，\u4e0a\u4e0b\u6587\u4f1a\u8fc5\u901f\u81a8\u80c0\u3002<\/p>\n

      \n
    • \u6280\u5de7：\u5728 LangGraph \u7684 State \u4e2d，\u53ea\u4fdd\u7559\u6700\u65b0\u7684 \u8f6e\u5bf9\u8bdd，\u6216\u8005\u5bf9\u5386\u53f2\u80cc\u666f\u8fdb\u884c\u6458\u8981\u3002<\/li>\n<\/ul>\n

      5.2 \u5e76\u884c\u5316\u6267\u884c (Parallelism)<\/h4>\n

      \u5982\u679c\u591a\u4e2a Agent \u4e4b\u95f4\u6ca1\u6709\u4f9d\u8d56\u5173\u7cfb（\u4f8b\u5982\u540c\u65f6\u641c\u96c6 3 \u4e2a\u7ef4\u5ea6\u7684\u4fe1\u606f），\u5e94\u4f7f\u7528 Annotated[List, operator.add] \u5b9e\u73b0\u8282\u70b9\u7684\u5e76\u884c\u6247\u51fa（Fan-out）\u4e0e\u6247\u5165（Fan-in）\u3002<\/p>\n

      \n

      6. \u5e38\u89c1\u95ee\u9898\u89e3\u7b54 (FAQ)<\/h3>\n

      Q: Agent \u9677\u5165\u6b7b\u5faa\u73af（Looping）\u600e\u4e48\u529e？
      \nA: \u5fc5\u987b\u8bbe\u7f6e max_iterations\u3002\u5728 LangGraph \u4e2d，\u53ef\u4ee5\u901a\u8fc7\u5728 State \u4e2d\u7ef4\u62a4\u4e00\u4e2a\u8ba1\u6570\u5668，\u5f53\u8fbe\u5230 5 \u6b21\u8fed\u4ee3\u4ecd\u672a\u901a\u8fc7\u5ba1\u6838\u65f6，\u5f3a\u5236\u7ec8\u6b62\u5e76\u62a5\u9519\u6216\u4eba\u5de5\u4ecb\u5165\u3002<\/p>\n

      Q: \u4e3a\u4ec0\u4e48\u4e0d\u7528 AutoGPT \u8fd9\u79cd\u5168\u81ea\u52a8\u5de5\u5177？
      \nA: \u5168\u81ea\u52a8\u610f\u5473\u7740\u4e0d\u53ef\u63a7\u3002\u5bf9\u4e8e\u7a0b\u5e8f\u5458\u6765\u8bf4，\u57fa\u4e8e\u56fe\u7ed3\u6784（Graph-based）\u7684\u786e\u5b9a\u6027\u6d41\u63a7\u624d\u662f\u5546\u4e1a\u5316\u843d\u5730\u7684\u9996\u9009，\u5b83\u5728\u201c\u7075\u6d3b\u6027\u201d\u4e0e\u201c\u786e\u5b9a\u6027\u201d\u4e4b\u95f4\u53d6\u5f97\u4e86\u5e73\u8861\u3002<\/p>\n

      \n

      7. \u603b\u7ed3：\u62e5\u62b1 Agentic \u539f\u751f\u5f00\u53d1<\/h3>\n

      \u667a\u80fd\u4f53\u5143\u5e74\u4e0d\u662f AI \u4ee3\u66ff\u7a0b\u5e8f\u5458，\u800c\u662f\u7a0b\u5e8f\u5458\u5347\u7ea7\u4e3a \u201cAI \u67b6\u6784\u5e08\u201d\u3002\u901a\u8fc7\u8bbe\u8ba1\u5408\u7406\u7684\u5de5\u4f5c\u6d41（Workflow），\u6211\u4eec\u80fd\u8ba9\u5927\u6a21\u578b\u4ece\u201c\u4f1a\u8bf4\u8bdd\u7684\u767e\u79d1\u5168\u4e66\u201d\u53d8\u6210\u201c\u80fd\u5e72\u6d3b\u7684\u6570\u5b57\u5316\u5458\u5de5\u201d\u3002<\/p>\n

      \u5728\u591a\u667a\u80fd\u4f53\u534f\u4f5c\u4e2d，\u4f60\u8ba4\u4e3a\u6700\u96be\u7684\u90e8\u5206\u662f\u201cPrompt \u7684\u7cbe\u51c6\u5ea6\u201d\u8fd8\u662f\u201cAgent \u4e4b\u95f4\u7684\u901a\u4fe1\u534f\u8bae\u8bbe\u8ba1\u201d？\u4f60\u76ee\u524d\u5728\u5c1d\u8bd5\u5c06 Agent \u5e94\u7528\u5728\u54ea\u4e2a\u5177\u4f53\u7684\u4e1a\u52a1\u573a\u666f？
      \n\u5728\u8bc4\u8bba\u533a\u7559\u4e0b\u4f60\u7684\u601d\u8003，\u6211\u4eec\u5c06\u62bd\u53d6 3 \u4f4d\u6df1\u5ea6\u8bc4\u8bba\u9001\u51fa\u6700\u65b0\u7684 Agent \u5f00\u53d1\u601d\u7ef4\u5bfc\u56fe\u4e00\u4efd！ 🚀<\/p>\n","protected":false},"excerpt":{"rendered":"

      1. \u5f15\u8a00：\u4ece Prompt Engineering \u5230 Agentic Workflow
      \n2.0 \u65f6\u4ee3\u7684 AI \u5f00\u53d1，\u6838\u5fc3\u4e0d\u518d\u662f\u5199\u51fa\u201c\u5b8c\u7f8e\u7684\u63d0\u793a\u8bcd\u201d，\u800c\u662f\u6784\u5efa\u201c\u5b8c\u7f8e\u7684\u6d41\u7a0b\u201d\u3002\u5434\u6069\u8fbe\u6559\u6388\u66fe\u63d0\u5230：\u201c\u5373\u4f7f\u662f\u8f83\u5f31\u7684\u6a21\u578b，\u5728\u4f18\u79c0\u7684\u5de5\u4f5c\u6d41\u8bbe\u8ba1\u4e0b，\u5176\u8868\u73b0\u4e5f\u80fd\u8d85\u8fc7\u7f3a\u4e4f\u6d41\u7a0b\u7684\u6700\u5f3a\u6a21\u578b\u3002\u201d
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