import{s as _t,n as $t,o as xt}from"../chunks/scheduler.889ebb13.js";import{S as Bt,i as Ht,g as a,s as n,r as $,A as Vt,h as i,f as s,c as M,j as Et,u as x,x as T,k as Lt,y as Nt,a as e,v as B,d as H,t as V,w as N}from"../chunks/index.ca18042b.js";import{C as vt}from"../chunks/CodeBlock.a65374d4.js";import{H as bt,E as St}from"../chunks/index.d845d0a2.js";function Wt(Jt){let o,S,b,W,u,Q,J,jt='函数调用是<strong>大语言模型 (LLM) 对其环境采取行动的一种方式</strong>。它最初在 <a href="https://openai.com/index/function-calling-and-other-api-updates/" rel="nofollow">GPT-4中引入</a>，然后被其他模型复制。',z,j,pt="就像智能体 (Agent) 的工具一样，函数调用赋予了模型<strong>对其环境采取行动的能力</strong>。然而，函数调用能力是<strong>由模型学习的</strong>，并且<strong>比其他智能体技术更少依赖提示</strong>。",G,p,It="在第1单元中，智能体<strong>没有学习使用工具 (Tools)</strong>，我们只是提供了工具列表，并依赖模型<strong>能够泛化使用这些工具定义计划</strong>的事实。",P,I,rt="而在这里，<strong>通过函数调用，智能体被微调（训练）来使用工具</strong>。",Z,r,k,y,yt="在第1单元中，我们探讨了智能体的一般工作流程。一旦用户向智能体提供了一些工具并用查询提示它，模型将循环执行：",Y,c,ct="<li><em>思考(Think)</em>：为了实现目标，我需要采取什么行动。</li> <li><em>行动(Act)</em>：使用正确的参数格式化行动并停止生成。</li> <li><em>观察(Observe)</em>：从执行中获取结果。</li>",R,w,wt="在通过 API 与模型进行的”典型”对话中，对话将在用户和助手消息之间交替进行，如下所示：",O,A,F,m,At="函数调用为对话带来了<strong>新的角色</strong>！",D,U,mt="<li>一个用于 <strong>行动(Action)</strong> 的新角色</li> <li>一个用于 <strong>观察(Observation)</strong> 的新角色</li>",X,q,Ut='如果我们以 <a href="https://docs.mistral.ai/capabilities/function_calling/" rel="nofollow">Mistral API</a> 为例，它看起来像这样：',K,f,tt,h,qt="<p>…但你说函数调用有一个新角色？</p>",lt,C,ft="<strong>是也不是</strong>，在这种情况下和许多其他API中，模型将要采取的行动格式化为”助手”消息。聊天模板然后将此表示为函数调用的<strong>特殊词元 (special tokens)</strong>。",st,g,ht="<li><code>[AVAILABLE_TOOLS]</code> – 开始可用工具列表</li> <li><code>[/AVAILABLE_TOOLS]</code> – 结束可用工具列表</li> <li><code>[TOOL_CALLS]</code> – 调用工具（即采取”行动”）</li> <li><code>[TOOL_RESULTS]</code> – “观察”行动的结果</li> <li><code>[/TOOL_RESULTS]</code> – 观察结束（即模型可以再次解码）</li>",et,d,Ct='我们将在本课程中再次讨论函数调用，但如果你想深入了解，可以查看<a href="https://docs.mistral.ai/capabilities/function_calling/" rel="nofollow">这个优秀的文档部分</a>',nt,Mt,at,E,gt='现在我们已经了解了什么是函数调用以及它是如何工作的，让我们<strong>为一个尚未具有这些能力的模型添加一些函数调用功能</strong>：通过向模型添加一些新的特殊词元来增强： <a href="https://huggingface.co/google/gemma-2-2b-it" rel="nofollow">google/gemma-2-2b-it</a>。',it,L,dt="要能够做到这一点，<strong>我们首先需要理解微调和LoRA</strong>。",Tt,v,ot,_,ut;return u=new bt({props:{title:"什么是函数调用？(What is Function Calling?)",local:"什么是函数调用what-is-function-calling",headingTag:"h1"}}),r=new bt({props:{title:"模型如何”学习”采取行动？",local:"模型如何学习采取行动",headingTag:"h2"}}),A=new vt({props:{code:"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",highlighted:`conversation = [
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    },
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        <span class="hljs-string">&quot;content&quot;</span>: <span class="hljs-string">&quot;&quot;</span>,
        <span class="hljs-string">&quot;function_call&quot;</span>: {
            <span class="hljs-string">&quot;name&quot;</span>: <span class="hljs-string">&quot;retrieve_payment_status&quot;</span>,
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    {
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    },
    {
        <span class="hljs-string">&quot;role&quot;</span>: <span class="hljs-string">&quot;assistant&quot;</span>,
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