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<title>langchain.agents.agent_types &mdash; 🦜🔗 LangChain 0.1.12</title>

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<h1>Source code for langchain.agents.agent_types</h1><div class="highlight"><pre>
<span></span><span class="sd">&quot;&quot;&quot;Module definitions of agent types together with corresponding agents.&quot;&quot;&quot;</span>
<span class="kn">from</span> <span class="nn">enum</span> <span class="kn">import</span> <span class="n">Enum</span>

<span class="kn">from</span> <span class="nn">langchain_core._api</span> <span class="kn">import</span> <span class="n">deprecated</span>


<div class="viewcode-block" id="AgentType"><a class="viewcode-back" href="../../../agents/langchain.agents.agent_types.AgentType.html#langchain.agents.agent_types.AgentType">[docs]</a><span class="nd">@deprecated</span><span class="p">(</span>
<span class="s2">&quot;0.1.0&quot;</span><span class="p">,</span>
<span class="n">alternative</span><span class="o">=</span><span class="p">(</span>
<span class="s2">&quot;Use new agent constructor methods like create_react_agent, create_json_agent, &quot;</span>
<span class="s2">&quot;create_structured_chat_agent, etc.&quot;</span>
<span class="p">),</span>
<span class="n">removal</span><span class="o">=</span><span class="s2">&quot;0.2.0&quot;</span><span class="p">,</span>
<span class="p">)</span>
<span class="k">class</span> <span class="nc">AgentType</span><span class="p">(</span><span class="nb">str</span><span class="p">,</span> <span class="n">Enum</span><span class="p">):</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;An enum for agent types.</span>

<span class="sd"> See documentation: https://python.langchain.com/docs/modules/agents/agent_types/</span>
<span class="sd"> &quot;&quot;&quot;</span>

<span class="n">ZERO_SHOT_REACT_DESCRIPTION</span> <span class="o">=</span> <span class="s2">&quot;zero-shot-react-description&quot;</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;A zero shot agent that does a reasoning step before acting.&quot;&quot;&quot;</span>

<span class="n">REACT_DOCSTORE</span> <span class="o">=</span> <span class="s2">&quot;react-docstore&quot;</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;A zero shot agent that does a reasoning step before acting.</span>
<span class="sd"> </span>
<span class="sd"> This agent has access to a document store that allows it to look up </span>
<span class="sd"> relevant information to answering the question.</span>
<span class="sd"> &quot;&quot;&quot;</span>

<span class="n">SELF_ASK_WITH_SEARCH</span> <span class="o">=</span> <span class="s2">&quot;self-ask-with-search&quot;</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;An agent that breaks down a complex question into a series of simpler questions.</span>
<span class="sd"> </span>
<span class="sd"> This agent uses a search tool to look up answers to the simpler questions</span>
<span class="sd"> in order to answer the original complex question.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="n">CONVERSATIONAL_REACT_DESCRIPTION</span> <span class="o">=</span> <span class="s2">&quot;conversational-react-description&quot;</span>
<span class="n">CHAT_ZERO_SHOT_REACT_DESCRIPTION</span> <span class="o">=</span> <span class="s2">&quot;chat-zero-shot-react-description&quot;</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;A zero shot agent that does a reasoning step before acting.</span>
<span class="sd"> </span>
<span class="sd"> This agent is designed to be used in conjunction </span>
<span class="sd"> &quot;&quot;&quot;</span>

<span class="n">CHAT_CONVERSATIONAL_REACT_DESCRIPTION</span> <span class="o">=</span> <span class="s2">&quot;chat-conversational-react-description&quot;</span>

<span class="n">STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTION</span> <span class="o">=</span> <span class="p">(</span>
<span class="s2">&quot;structured-chat-zero-shot-react-description&quot;</span>
<span class="p">)</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;An zero-shot react agent optimized for chat models.</span>
<span class="sd"> </span>
<span class="sd"> This agent is capable of invoking tools that have multiple inputs.</span>
<span class="sd"> &quot;&quot;&quot;</span>

<span class="n">OPENAI_FUNCTIONS</span> <span class="o">=</span> <span class="s2">&quot;openai-functions&quot;</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;An agent optimized for using open AI functions.&quot;&quot;&quot;</span>

<span class="n">OPENAI_MULTI_FUNCTIONS</span> <span class="o">=</span> <span class="s2">&quot;openai-multi-functions&quot;</span></div>
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