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<h1>Source code for agentscope.agents.dialog_agent</h1><div class="highlight"><pre>
<span></span><span class="c1"># -*- coding: utf-8 -*-</span>
<span class="sd">&quot;&quot;&quot;A general dialog agent.&quot;&quot;&quot;</span>
<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Any</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Union</span><span class="p">,</span> <span class="n">Callable</span>
<span class="kn">from</span> <span class="nn">loguru</span> <span class="kn">import</span> <span class="n">logger</span>

<span class="kn">from</span> <span class="nn">..message</span> <span class="kn">import</span> <span class="n">Msg</span>
<span class="kn">from</span> <span class="nn">.agent</span> <span class="kn">import</span> <span class="n">AgentBase</span>
<span class="kn">from</span> <span class="nn">..prompt</span> <span class="kn">import</span> <span class="n">PromptEngine</span>
<span class="kn">from</span> <span class="nn">..prompt</span> <span class="kn">import</span> <span class="n">PromptType</span>


<div class="viewcode-block" id="DialogAgent">
<a class="viewcode-back" href="../../../agentscope.agents.html#agentscope.agents.dialog_agent.DialogAgent">[docs]</a>
<span class="k">class</span> <span class="nc">DialogAgent</span><span class="p">(</span><span class="n">AgentBase</span><span class="p">):</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;A simple agent used to perform a dialogue. Your can set its role by</span>
<span class="sd"> `sys_prompt`.&quot;&quot;&quot;</span>

<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
<span class="bp">self</span><span class="p">,</span>
<span class="n">name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
<span class="n">config</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">dict</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
<span class="n">sys_prompt</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
<span class="n">model</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="n">Callable</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">Any</span><span class="p">],</span> <span class="nb">str</span><span class="p">]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
<span class="n">use_memory</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
<span class="n">memory_config</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">dict</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
<span class="n">prompt_type</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">PromptType</span><span class="p">]</span> <span class="o">=</span> <span class="n">PromptType</span><span class="o">.</span><span class="n">LIST</span><span class="p">,</span>
<span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;Initialize the dialog agent.</span>

<span class="sd"> Arguments:</span>
<span class="sd"> name (`str`):</span>
<span class="sd"> The name of the agent.</span>
<span class="sd"> config (`Optional[dict]`):</span>
<span class="sd"> The configuration of the agent, if provided, the agent will</span>
<span class="sd"> be initialized from the config rather than the other</span>
<span class="sd"> parameters.</span>
<span class="sd"> sys_prompt (`Optional[str]`):</span>
<span class="sd"> The system prompt of the agent, which can be passed by args</span>
<span class="sd"> or hard-coded in the agent.</span>
<span class="sd"> model (`Optional[Union[Callable[..., Any], str]]`, defaults to</span>
<span class="sd"> None):</span>
<span class="sd"> The callable model object or the model name, which is used to</span>
<span class="sd"> load model from configuration.</span>
<span class="sd"> use_memory (`bool`, defaults to `True`):</span>
<span class="sd"> Whether the agent has memory.</span>
<span class="sd"> memory_config (`Optional[dict]`):</span>
<span class="sd"> The config of memory.</span>
<span class="sd"> prompt_type (`Optional[PromptType]`, defaults to</span>
<span class="sd"> `PromptType.LIST`):</span>
<span class="sd"> The type of the prompt organization, chosen from</span>
<span class="sd"> `PromptType.LIST` or `PromptType.STRING`.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span>
<span class="n">name</span><span class="p">,</span>
<span class="n">config</span><span class="p">,</span>
<span class="n">sys_prompt</span><span class="p">,</span>
<span class="n">model</span><span class="p">,</span>
<span class="n">use_memory</span><span class="p">,</span>
<span class="n">memory_config</span><span class="p">,</span>
<span class="p">)</span>

<span class="c1"># init prompt engine</span>
<span class="bp">self</span><span class="o">.</span><span class="n">engine</span> <span class="o">=</span> <span class="n">PromptEngine</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="p">,</span> <span class="n">prompt_type</span><span class="o">=</span><span class="n">prompt_type</span><span class="p">)</span>

<div class="viewcode-block" id="DialogAgent.reply">
<a class="viewcode-back" href="../../../agentscope.agents.html#agentscope.agents.dialog_agent.DialogAgent.reply">[docs]</a>
<span class="k">def</span> <span class="nf">reply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">:</span> <span class="nb">dict</span> <span class="o">=</span> <span class="kc">None</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">dict</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;Reply function of the agent. Processes the input data,</span>
<span class="sd"> generates a prompt using the current dialogue memory and system</span>
<span class="sd"> prompt, and invokes the language model to produce a response. The</span>
<span class="sd"> response is then formatted and added to the dialogue memory.</span>

<span class="sd"> Args:</span>
<span class="sd"> x (`dict`, defaults to `None`):</span>
<span class="sd"> A dictionary representing the user&#39;s input to the agent. This</span>
<span class="sd"> input is added to the dialogue memory if provided. Defaults to</span>
<span class="sd"> None.</span>
<span class="sd"> Returns:</span>
<span class="sd"> A dictionary representing the message generated by the agent in</span>
<span class="sd"> response to the user&#39;s input.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="c1"># record the input if needed</span>
<span class="k">if</span> <span class="n">x</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">memory</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>

<span class="c1"># prepare prompt</span>
<span class="n">prompt</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">engine</span><span class="o">.</span><span class="n">join</span><span class="p">(</span>
<span class="bp">self</span><span class="o">.</span><span class="n">sys_prompt</span><span class="p">,</span>
<span class="bp">self</span><span class="o">.</span><span class="n">memory</span><span class="o">.</span><span class="n">get_memory</span><span class="p">(),</span>
<span class="p">)</span>

<span class="c1"># call llm and generate response</span>
<span class="n">response</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="p">(</span><span class="n">prompt</span><span class="p">)</span>
<span class="n">msg</span> <span class="o">=</span> <span class="n">Msg</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">name</span><span class="p">,</span> <span class="n">response</span><span class="p">)</span>

<span class="c1"># logging and record the message in memory</span>
<span class="n">logger</span><span class="o">.</span><span class="n">chat</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">memory</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>

<span class="k">return</span> <span class="n">msg</span></div>
</div>

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