diff --git a/docs/ecosystem/aim_tracking.ipynb b/docs/ecosystem/aim_tracking.ipynb
index a3314fe5..435b4544 100644
--- a/docs/ecosystem/aim_tracking.ipynb
+++ b/docs/ecosystem/aim_tracking.ipynb
@@ -205,7 +205,8 @@
    },
    "outputs": [],
    "source": [
-    "from langchain.agents import initialize_agent, load_tools"
+    "from langchain.agents import initialize_agent, load_tools\n",
+    "from langchain.agents.agent_types import AgentType"
    ]
   },
   {
@@ -252,7 +253,7 @@
     "agent = initialize_agent(\n",
     "    tools,\n",
     "    llm,\n",
-    "    agent=\"zero-shot-react-description\",\n",
+    "    agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,\n",
     "    callback_manager=manager,\n",
     "    verbose=True,\n",
     ")\n",
diff --git a/docs/ecosystem/clearml_tracking.ipynb b/docs/ecosystem/clearml_tracking.ipynb
index 568b920e..e3b337a2 100644
--- a/docs/ecosystem/clearml_tracking.ipynb
+++ b/docs/ecosystem/clearml_tracking.ipynb
@@ -520,13 +520,14 @@
    ],
    "source": [
     "from langchain.agents import initialize_agent, load_tools\n",
+    "from langchain.agents.agent_types import AgentType\n",
     "\n",
     "# SCENARIO 2 - Agent with Tools\n",
     "tools = load_tools([\"serpapi\", \"llm-math\"], llm=llm, callback_manager=manager)\n",
     "agent = initialize_agent(\n",
     "    tools,\n",
     "    llm,\n",
-    "    agent=\"zero-shot-react-description\",\n",
+    "    agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,\n",
     "    callback_manager=manager,\n",
     "    verbose=True,\n",
     ")\n",
diff --git a/docs/ecosystem/google_serper.md b/docs/ecosystem/google_serper.md
index 446c346b..807c254c 100644
--- a/docs/ecosystem/google_serper.md
+++ b/docs/ecosystem/google_serper.md
@@ -23,6 +23,7 @@ You can use it as part of a Self Ask chain:
 from langchain.utilities import GoogleSerperAPIWrapper
 from langchain.llms.openai import OpenAI
 from langchain.agents import initialize_agent, Tool
+from langchain.agents.agent_types import AgentType
 
 import os
 
@@ -39,7 +40,7 @@ tools = [
     )
 ]
 
-self_ask_with_search = initialize_agent(tools, llm, agent="self-ask-with-search", verbose=True)
+self_ask_with_search = initialize_agent(tools, llm, agent=AgentType.SELF_ASK_WITH_SEARCH, verbose=True)
 self_ask_with_search.run("What is the hometown of the reigning men's U.S. Open champion?")
 ```
 
diff --git a/docs/ecosystem/wandb_tracking.ipynb b/docs/ecosystem/wandb_tracking.ipynb
index 37797883..cd6aed3d 100644
--- a/docs/ecosystem/wandb_tracking.ipynb
+++ b/docs/ecosystem/wandb_tracking.ipynb
@@ -505,7 +505,8 @@
    },
    "outputs": [],
    "source": [
-    "from langchain.agents import initialize_agent, load_tools"
+    "from langchain.agents import initialize_agent, load_tools\n",
+    "from langchain.agents.agent_types import AgentType"
    ]
   },
   {
@@ -580,7 +581,7 @@
     "agent = initialize_agent(\n",
     "    tools,\n",
     "    llm,\n",
-    "    agent=\"zero-shot-react-description\",\n",
+    "    agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,\n",
     "    callback_manager=manager,\n",
     "    verbose=True,\n",
     ")\n",
diff --git a/docs/getting_started/getting_started.md b/docs/getting_started/getting_started.md
index 4d276edd..10b329fe 100644
--- a/docs/getting_started/getting_started.md
+++ b/docs/getting_started/getting_started.md
@@ -197,6 +197,7 @@ Now we can get started!
 ```python
 from langchain.agents import load_tools
 from langchain.agents import initialize_agent
+from langchain.agents.agent_types import AgentType
 from langchain.llms import OpenAI
 
 # First, let's load the language model we're going to use to control the agent.
@@ -207,7 +208,7 @@ tools = load_tools(["serpapi", "llm-math"], llm=llm)
 
 
 # Finally, let's initialize an agent with the tools, the language model, and the type of agent we want to use.
-agent = initialize_agent(tools, llm, agent="zero-shot-react-description", verbose=True)
+agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)
 
 # Now let's test it out!
 agent.run("What was the high temperature in SF yesterday in Fahrenheit? What is that number raised to the .023 power?")
@@ -404,11 +405,12 @@ chain.run(input_language="English", output_language="French", text="I love progr
 `````
 
 `````{dropdown} Agents with Chat Models
-Agents can also be used with chat models, you can initialize one using `"chat-zero-shot-react-description"` as the agent type.
+Agents can also be used with chat models, you can initialize one using `AgentType.CHAT_ZERO_SHOT_REACT_DESCRIPTION` as the agent type.
 
 ```python
 from langchain.agents import load_tools
 from langchain.agents import initialize_agent
+from langchain.agents.agent_types import AgentType
 from langchain.chat_models import ChatOpenAI
 from langchain.llms import OpenAI
 
@@ -421,7 +423,7 @@ tools = load_tools(["serpapi", "llm-math"], llm=llm)
 
 
 # Finally, let's initialize an agent with the tools, the language model, and the type of agent we want to use.
-agent = initialize_agent(tools, chat, agent="chat-zero-shot-react-description", verbose=True)
+agent = initialize_agent(tools, chat, agent=AgentType.CHAT_ZERO_SHOT_REACT_DESCRIPTION, verbose=True)
 
 # Now let's test it out!
 agent.run("Who is Olivia Wilde's boyfriend? What is his current age raised to the 0.23 power?")
diff --git a/docs/modules/agents/agent_executors/examples/agent_vectorstore.ipynb b/docs/modules/agents/agent_executors/examples/agent_vectorstore.ipynb
index 0175cdfa..7bdbf3bd 100644
--- a/docs/modules/agents/agent_executors/examples/agent_vectorstore.ipynb
+++ b/docs/modules/agents/agent_executors/examples/agent_vectorstore.ipynb
@@ -154,6 +154,7 @@
    "source": [
     "# Import things that are needed generically\n",
     "from langchain.agents import initialize_agent, Tool\n",
+    "from langchain.agents.agent_types import AgentType\n",
     "from langchain.tools import BaseTool\n",
     "from langchain.llms import OpenAI\n",
     "from langchain import LLMMathChain, SerpAPIWrapper"
@@ -189,7 +190,7 @@
    "source": [
     "# Construct the agent. We will use the default agent type here.\n",
     "# See documentation for a full list of options.\n",
-    "agent = initialize_agent(tools, llm, agent=\"zero-shot-react-description\", verbose=True)"
+    "agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)"
    ]
   },
   {
@@ -316,7 +317,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "agent = initialize_agent(tools, llm, agent=\"zero-shot-react-description\", verbose=True)"
+    "agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)"
    ]
   },
   {
@@ -433,7 +434,7 @@
    "source": [
     "# Construct the agent. We will use the default agent type here.\n",
     "# See documentation for a full list of options.\n",
-    "agent = initialize_agent(tools, llm, agent=\"zero-shot-react-description\", verbose=True)"
+    "agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)"
    ]
   },
   {
diff --git a/docs/modules/agents/agent_executors/examples/async_agent.ipynb b/docs/modules/agents/agent_executors/examples/async_agent.ipynb
index 216ddcd3..a945988c 100644
--- a/docs/modules/agents/agent_executors/examples/async_agent.ipynb
+++ b/docs/modules/agents/agent_executors/examples/async_agent.ipynb
@@ -39,6 +39,7 @@
     "import time\n",
     "\n",
     "from langchain.agents import initialize_agent, load_tools\n",
+    "from langchain.agents.agent_types import AgentType\n",
     "from langchain.llms import OpenAI\n",
     "from langchain.callbacks.stdout import StdOutCallbackHandler\n",
     "from langchain.callbacks.base import CallbackManager\n",
@@ -175,7 +176,7 @@
     "        llm = OpenAI(temperature=0)\n",
     "        tools = load_tools([\"llm-math\", \"serpapi\"], llm=llm)\n",
     "        agent = initialize_agent(\n",
-    "            tools, llm, agent=\"zero-shot-react-description\", verbose=True\n",
+    "            tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION verbose=True\n",
     "        )\n",
     "        agent.run(q)\n",
     "\n",
@@ -311,7 +312,7 @@
     "        llm = OpenAI(temperature=0, callback_manager=manager)\n",
     "        async_tools = load_tools([\"llm-math\", \"serpapi\"], llm=llm, aiosession=aiosession, callback_manager=manager)\n",
     "        agents.append(\n",
-    "            initialize_agent(async_tools, llm, agent=\"zero-shot-react-description\", verbose=True, callback_manager=manager)\n",
+    "            initialize_agent(async_tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True, callback_manager=manager)\n",
     "        )\n",
     "    tasks = [async_agent.arun(q) for async_agent, q in zip(agents, questions)]\n",
     "    await asyncio.gather(*tasks)\n",
@@ -381,7 +382,7 @@
     "llm = OpenAI(temperature=0, callback_manager=manager)\n",
     "\n",
     "async_tools = load_tools([\"llm-math\", \"serpapi\"], llm=llm, aiosession=aiosession)\n",
-    "async_agent = initialize_agent(async_tools, llm, agent=\"zero-shot-react-description\", verbose=True, callback_manager=manager)\n",
+    "async_agent = initialize_agent(async_tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True, callback_manager=manager)\n",
     "await async_agent.arun(questions[0])\n",
     "await aiosession.close()"
    ]
diff --git a/docs/modules/agents/agent_executors/examples/intermediate_steps.ipynb b/docs/modules/agents/agent_executors/examples/intermediate_steps.ipynb
index 4f2995bb..e1df52e4 100644
--- a/docs/modules/agents/agent_executors/examples/intermediate_steps.ipynb
+++ b/docs/modules/agents/agent_executors/examples/intermediate_steps.ipynb
@@ -19,6 +19,7 @@
    "source": [
     "from langchain.agents import load_tools\n",
     "from langchain.agents import initialize_agent\n",
+    "from langchain.agents.agent_types import AgentType\n",
     "from langchain.llms import OpenAI"
    ]
   },
@@ -56,7 +57,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "agent = initialize_agent(tools, llm, agent=\"zero-shot-react-description\", verbose=True, return_intermediate_steps=True)"
+    "agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True, return_intermediate_steps=True)"
    ]
   },
   {
diff --git a/docs/modules/agents/agent_executors/examples/max_iterations.ipynb b/docs/modules/agents/agent_executors/examples/max_iterations.ipynb
index 754a4e3a..97b7ccf9 100644
--- a/docs/modules/agents/agent_executors/examples/max_iterations.ipynb
+++ b/docs/modules/agents/agent_executors/examples/max_iterations.ipynb
@@ -19,6 +19,7 @@
    "source": [
     "from langchain.agents import load_tools\n",
     "from langchain.agents import initialize_agent, Tool\n",
+    "from langchain.agents.agent_types import AgentType\n",
     "from langchain.llms import OpenAI"
    ]
   },
@@ -59,7 +60,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "agent = initialize_agent(tools, llm, agent=\"zero-shot-react-description\", verbose=True)"
+    "agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)"
    ]
   },
   {
@@ -139,7 +140,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "agent = initialize_agent(tools, llm, agent=\"zero-shot-react-description\", verbose=True, max_iterations=2)"
+    "agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True, max_iterations=2)"
    ]
   },
   {
@@ -198,7 +199,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "agent = initialize_agent(tools, llm, agent=\"zero-shot-react-description\", verbose=True, max_iterations=2, early_stopping_method=\"generate\")"
+    "agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True, max_iterations=2, early_stopping_method=\"generate\")"
    ]
   },
   {
diff --git a/docs/modules/agents/agents/examples/chat_conversation_agent.ipynb b/docs/modules/agents/agents/examples/chat_conversation_agent.ipynb
index 061a5a60..f1fa0ece 100644
--- a/docs/modules/agents/agents/examples/chat_conversation_agent.ipynb
+++ b/docs/modules/agents/agents/examples/chat_conversation_agent.ipynb
@@ -34,7 +34,8 @@
     "from langchain.memory import ConversationBufferMemory\n",
     "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.utilities import SerpAPIWrapper\n",
-    "from langchain.agents import initialize_agent"
+    "from langchain.agents import initialize_agent\n",
+    "from langchain.agents.agent_types import AgentType"
    ]
   },
   {
@@ -72,7 +73,7 @@
    "outputs": [],
    "source": [
     "llm=ChatOpenAI(temperature=0)\n",
-    "agent_chain = initialize_agent(tools, llm, agent=\"chat-conversational-react-description\", verbose=True, memory=memory)"
+    "agent_chain = initialize_agent(tools, llm, agent=AgentType.CHAT_CONVERSATIONAL_REACT_DESCRIPTION, verbose=True, memory=memory)"
    ]
   },
   {
diff --git a/docs/modules/agents/agents/examples/conversational_agent.ipynb b/docs/modules/agents/agents/examples/conversational_agent.ipynb
index 10cb7d0f..a8709e4e 100644
--- a/docs/modules/agents/agents/examples/conversational_agent.ipynb
+++ b/docs/modules/agents/agents/examples/conversational_agent.ipynb
@@ -20,6 +20,7 @@
    "outputs": [],
    "source": [
     "from langchain.agents import Tool\n",
+    "from langchain.agents.agent_types import AgentType\n",
     "from langchain.memory import ConversationBufferMemory\n",
     "from langchain import OpenAI\n",
     "from langchain.utilities import GoogleSearchAPIWrapper\n",
@@ -61,7 +62,7 @@
    "outputs": [],
    "source": [
     "llm=OpenAI(temperature=0)\n",
-    "agent_chain = initialize_agent(tools, llm, agent=\"conversational-react-description\", verbose=True, memory=memory)"
+    "agent_chain = initialize_agent(tools, llm, agent=AgentType.CONVERSATIONAL_REACT_DESCRIPTION, verbose=True, memory=memory)"
    ]
   },
   {
diff --git a/docs/modules/agents/agents/examples/mrkl.ipynb b/docs/modules/agents/agents/examples/mrkl.ipynb
index 0afc3da0..fa05c438 100644
--- a/docs/modules/agents/agents/examples/mrkl.ipynb
+++ b/docs/modules/agents/agents/examples/mrkl.ipynb
@@ -27,7 +27,8 @@
    "outputs": [],
    "source": [
     "from langchain import LLMMathChain, OpenAI, SerpAPIWrapper, SQLDatabase, SQLDatabaseChain\n",
-    "from langchain.agents import initialize_agent, Tool"
+    "from langchain.agents import initialize_agent, Tool\n",
+    "from langchain.agents.agent_types import AgentType"
    ]
   },
   {
@@ -68,7 +69,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "mrkl = initialize_agent(tools, llm, agent=\"zero-shot-react-description\", verbose=True)"
+    "mrkl = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)"
    ]
   },
   {
diff --git a/docs/modules/agents/agents/examples/mrkl_chat.ipynb b/docs/modules/agents/agents/examples/mrkl_chat.ipynb
index 91303afa..48099496 100644
--- a/docs/modules/agents/agents/examples/mrkl_chat.ipynb
+++ b/docs/modules/agents/agents/examples/mrkl_chat.ipynb
@@ -28,6 +28,7 @@
    "source": [
     "from langchain import OpenAI, LLMMathChain, SerpAPIWrapper, SQLDatabase, SQLDatabaseChain\n",
     "from langchain.agents import initialize_agent, Tool\n",
+    "from langchain.agents.agent_types import AgentType\n",
     "from langchain.chat_models import ChatOpenAI"
    ]
   },
@@ -70,7 +71,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "mrkl = initialize_agent(tools, llm, agent=\"chat-zero-shot-react-description\", verbose=True)"
+    "mrkl = initialize_agent(tools, llm, agent=AgentType.CHAT_ZERO_SHOT_REACT_DESCRIPTION, verbose=True)"
    ]
   },
   {
diff --git a/docs/modules/agents/agents/examples/react.ipynb b/docs/modules/agents/agents/examples/react.ipynb
index 5519e0fa..b5d5bf0e 100644
--- a/docs/modules/agents/agents/examples/react.ipynb
+++ b/docs/modules/agents/agents/examples/react.ipynb
@@ -19,6 +19,7 @@
    "source": [
     "from langchain import OpenAI, Wikipedia\n",
     "from langchain.agents import initialize_agent, Tool\n",
+    "from langchain.agents.agent_types import AgentType\n",
     "from langchain.agents.react.base import DocstoreExplorer\n",
     "docstore=DocstoreExplorer(Wikipedia())\n",
     "tools = [\n",
@@ -35,7 +36,7 @@
     "]\n",
     "\n",
     "llm = OpenAI(temperature=0, model_name=\"text-davinci-002\")\n",
-    "react = initialize_agent(tools, llm, agent=\"react-docstore\", verbose=True)"
+    "react = initialize_agent(tools, llm, agent=AgentType.REACT_DOCSTORE, verbose=True)"
    ]
   },
   {
diff --git a/docs/modules/agents/agents/examples/self_ask_with_search.ipynb b/docs/modules/agents/agents/examples/self_ask_with_search.ipynb
index 6dbb01e6..f5265ceb 100644
--- a/docs/modules/agents/agents/examples/self_ask_with_search.ipynb
+++ b/docs/modules/agents/agents/examples/self_ask_with_search.ipynb
@@ -46,6 +46,7 @@
    "source": [
     "from langchain import OpenAI, SerpAPIWrapper\n",
     "from langchain.agents import initialize_agent, Tool\n",
+    "from langchain.agents.agent_types import AgentType\n",
     "\n",
     "llm = OpenAI(temperature=0)\n",
     "search = SerpAPIWrapper()\n",
@@ -57,7 +58,7 @@
     "    )\n",
     "]\n",
     "\n",
-    "self_ask_with_search = initialize_agent(tools, llm, agent=\"self-ask-with-search\", verbose=True)\n",
+    "self_ask_with_search = initialize_agent(tools, llm, agent=AgentType.SELF_ASK_WITH_SEARCH, verbose=True)\n",
     "self_ask_with_search.run(\"What is the hometown of the reigning men's U.S. Open champion?\")"
    ]
   }
diff --git a/docs/modules/agents/getting_started.ipynb b/docs/modules/agents/getting_started.ipynb
index bd9961f4..307b148a 100644
--- a/docs/modules/agents/getting_started.ipynb
+++ b/docs/modules/agents/getting_started.ipynb
@@ -92,7 +92,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "agent = initialize_agent(tools, llm, agent=\"zero-shot-react-description\", verbose=True)"
+    "agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)"
    ]
   },
   {
diff --git a/docs/modules/agents/tools/custom_tools.ipynb b/docs/modules/agents/tools/custom_tools.ipynb
index 07f26e2e..3ab084d4 100644
--- a/docs/modules/agents/tools/custom_tools.ipynb
+++ b/docs/modules/agents/tools/custom_tools.ipynb
@@ -27,6 +27,7 @@
    "source": [
     "# Import things that are needed generically\n",
     "from langchain.agents import initialize_agent, Tool\n",
+    "from langchain.agents.agent_types import AgentType\n",
     "from langchain.tools import BaseTool\n",
     "from langchain.llms import OpenAI\n",
     "from langchain import LLMMathChain, SerpAPIWrapper"
@@ -102,7 +103,7 @@
    "source": [
     "# Construct the agent. We will use the default agent type here.\n",
     "# See documentation for a full list of options.\n",
-    "agent = initialize_agent(tools, llm, agent=\"zero-shot-react-description\", verbose=True)"
+    "agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)"
    ]
   },
   {
@@ -217,7 +218,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "agent = initialize_agent(tools, llm, agent=\"zero-shot-react-description\", verbose=True)"
+    "agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)"
    ]
   },
   {
@@ -410,7 +411,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "agent = initialize_agent(tools, llm, agent=\"zero-shot-react-description\", verbose=True)"
+    "agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)"
    ]
   },
   {
@@ -484,6 +485,7 @@
    "source": [
     "# Import things that are needed generically\n",
     "from langchain.agents import initialize_agent, Tool\n",
+    "from langchain.agents.agent_types import AgentType\n",
     "from langchain.llms import OpenAI\n",
     "from langchain import LLMMathChain, SerpAPIWrapper\n",
     "search = SerpAPIWrapper()\n",
@@ -500,7 +502,7 @@
     "    )\n",
     "]\n",
     "\n",
-    "agent = initialize_agent(tools, OpenAI(temperature=0), agent=\"zero-shot-react-description\", verbose=True)"
+    "agent = initialize_agent(tools, OpenAI(temperature=0), agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)"
    ]
   },
   {
@@ -576,7 +578,7 @@
    "outputs": [],
    "source": [
     "llm = OpenAI(temperature=0)\n",
-    "agent = initialize_agent(tools, llm, agent=\"zero-shot-react-description\", verbose=True)"
+    "agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)"
    ]
   },
   {
diff --git a/docs/modules/agents/tools/examples/chatgpt_plugins.ipynb b/docs/modules/agents/tools/examples/chatgpt_plugins.ipynb
index e1dbfa08..de016bc9 100644
--- a/docs/modules/agents/tools/examples/chatgpt_plugins.ipynb
+++ b/docs/modules/agents/tools/examples/chatgpt_plugins.ipynb
@@ -23,6 +23,7 @@
    "source": [
     "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.agents import load_tools, initialize_agent\n",
+    "from langchain.agents.agent_types import AgentType\n",
     "from langchain.tools import AIPluginTool"
    ]
   },
@@ -83,7 +84,7 @@
     "tools = load_tools([\"requests\"] )\n",
     "tools += [tool]\n",
     "\n",
-    "agent_chain = initialize_agent(tools, llm, agent=\"zero-shot-react-description\", verbose=True)\n",
+    "agent_chain = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION verbose=True)\n",
     "agent_chain.run(\"what t shirts are available in klarna?\")"
    ]
   },
diff --git a/docs/modules/agents/tools/examples/google_serper.ipynb b/docs/modules/agents/tools/examples/google_serper.ipynb
index e71e8a67..ba59a870 100644
--- a/docs/modules/agents/tools/examples/google_serper.ipynb
+++ b/docs/modules/agents/tools/examples/google_serper.ipynb
@@ -115,6 +115,7 @@
     "from langchain.utilities import GoogleSerperAPIWrapper\n",
     "from langchain.llms.openai import OpenAI\n",
     "from langchain.agents import initialize_agent, Tool\n",
+    "from langchain.agents.agent_types import AgentType\n",
     "\n",
     "llm = OpenAI(temperature=0)\n",
     "search = GoogleSerperAPIWrapper()\n",
@@ -126,7 +127,7 @@
     "    )\n",
     "]\n",
     "\n",
-    "self_ask_with_search = initialize_agent(tools, llm, agent=\"self-ask-with-search\", verbose=True)\n",
+    "self_ask_with_search = initialize_agent(tools, llm, agent=AgentType.SELF_ASK_WITH_SEARCH, verbose=True)\n",
     "self_ask_with_search.run(\"What is the hometown of the reigning men's U.S. Open champion?\")"
    ],
    "metadata": {
diff --git a/docs/modules/agents/tools/examples/human_tools.ipynb b/docs/modules/agents/tools/examples/human_tools.ipynb
index 498c471c..868462a1 100644
--- a/docs/modules/agents/tools/examples/human_tools.ipynb
+++ b/docs/modules/agents/tools/examples/human_tools.ipynb
@@ -20,6 +20,7 @@
     "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.llms import OpenAI\n",
     "from langchain.agents import load_tools, initialize_agent\n",
+    "from langchain.agents.agent_types import AgentType\n",
     "\n",
     "llm = ChatOpenAI(temperature=0.0)\n",
     "math_llm = OpenAI(temperature=0.0)\n",
@@ -31,7 +32,7 @@
     "agent_chain = initialize_agent(\n",
     "    tools,\n",
     "    llm,\n",
-    "    agent=\"zero-shot-react-description\",\n",
+    "    agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,\n",
     "    verbose=True,\n",
     ")"
    ]
diff --git a/docs/modules/agents/tools/examples/search_tools.ipynb b/docs/modules/agents/tools/examples/search_tools.ipynb
index e59f8b8b..fadcf37b 100644
--- a/docs/modules/agents/tools/examples/search_tools.ipynb
+++ b/docs/modules/agents/tools/examples/search_tools.ipynb
@@ -23,6 +23,7 @@
    "source": [
     "from langchain.agents import load_tools\n",
     "from langchain.agents import initialize_agent\n",
+    "from langchain.agents.agent_types import AgentType\n",
     "from langchain.llms import OpenAI"
    ]
   },
@@ -63,7 +64,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "agent = initialize_agent(tools, llm, agent=\"zero-shot-react-description\", verbose=True)"
+    "agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)"
    ]
   },
   {
@@ -131,7 +132,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "agent = initialize_agent(tools, llm, agent=\"zero-shot-react-description\", verbose=True)"
+    "agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)"
    ]
   },
   {
@@ -199,7 +200,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "agent = initialize_agent(tools, llm, agent=\"zero-shot-react-description\", verbose=True)"
+    "agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)"
    ]
   },
   {
@@ -266,7 +267,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "agent = initialize_agent(tools, llm, agent=\"zero-shot-react-description\", verbose=True)"
+    "agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)"
    ]
   },
   {
diff --git a/docs/modules/agents/tools/examples/zapier.ipynb b/docs/modules/agents/tools/examples/zapier.ipynb
index 75ccd1cb..4891f9a1 100644
--- a/docs/modules/agents/tools/examples/zapier.ipynb
+++ b/docs/modules/agents/tools/examples/zapier.ipynb
@@ -77,6 +77,7 @@
     "from langchain.llms import OpenAI\n",
     "from langchain.agents import initialize_agent\n",
     "from langchain.agents.agent_toolkits import ZapierToolkit\n",
+    "from langchain.agents.agent_types import AgentType\n",
     "from langchain.utilities.zapier import ZapierNLAWrapper"
    ]
   },
@@ -105,7 +106,7 @@
     "llm = OpenAI(temperature=0)\n",
     "zapier = ZapierNLAWrapper()\n",
     "toolkit = ZapierToolkit.from_zapier_nla_wrapper(zapier)\n",
-    "agent = initialize_agent(toolkit.get_tools(), llm, agent=\"zero-shot-react-description\", verbose=True)"
+    "agent = initialize_agent(toolkit.get_tools(), llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)"
    ]
   },
   {
diff --git a/docs/modules/agents/tools/multi_input_tool.ipynb b/docs/modules/agents/tools/multi_input_tool.ipynb
index e06deba8..cbec9d69 100644
--- a/docs/modules/agents/tools/multi_input_tool.ipynb
+++ b/docs/modules/agents/tools/multi_input_tool.ipynb
@@ -23,7 +23,8 @@
    "outputs": [],
    "source": [
     "from langchain.llms import OpenAI\n",
-    "from langchain.agents import initialize_agent, Tool"
+    "from langchain.agents import initialize_agent, Tool\n",
+    "from langchain.agents.agent_types import AgentType"
    ]
   },
   {
@@ -64,7 +65,7 @@
     "        description=\"useful for when you need to multiply two numbers together. The input to this tool should be a comma separated list of numbers of length two, representing the two numbers you want to multiply together. For example, `1,2` would be the input if you wanted to multiply 1 by 2.\"\n",
     "    )\n",
     "]\n",
-    "mrkl = initialize_agent(tools, llm, agent=\"zero-shot-react-description\", verbose=True)"
+    "mrkl = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)"
    ]
   },
   {
diff --git a/docs/modules/models/llms/examples/fake_llm.ipynb b/docs/modules/models/llms/examples/fake_llm.ipynb
index 508d0fd2..bacbc557 100644
--- a/docs/modules/models/llms/examples/fake_llm.ipynb
+++ b/docs/modules/models/llms/examples/fake_llm.ipynb
@@ -31,7 +31,8 @@
    "outputs": [],
    "source": [
     "from langchain.agents import load_tools\n",
-    "from langchain.agents import initialize_agent"
+    "from langchain.agents import initialize_agent\n",
+    "from langchain.agents.agent_types import AgentType"
    ]
   },
   {
@@ -65,7 +66,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "agent = initialize_agent(tools, llm, agent=\"zero-shot-react-description\", verbose=True)"
+    "agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)"
    ]
   },
   {
diff --git a/docs/modules/models/llms/examples/token_usage_tracking.ipynb b/docs/modules/models/llms/examples/token_usage_tracking.ipynb
index 51cb420a..3c9f85eb 100644
--- a/docs/modules/models/llms/examples/token_usage_tracking.ipynb
+++ b/docs/modules/models/llms/examples/token_usage_tracking.ipynb
@@ -107,11 +107,12 @@
    "source": [
     "from langchain.agents import load_tools\n",
     "from langchain.agents import initialize_agent\n",
+    "from langchain.agents.agent_types import AgentType\n",
     "from langchain.llms import OpenAI\n",
     "\n",
     "llm = OpenAI(temperature=0)\n",
     "tools = load_tools([\"serpapi\", \"llm-math\"], llm=llm)\n",
-    "agent = initialize_agent(tools, llm, agent=\"zero-shot-react-description\", verbose=True)"
+    "agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)"
    ]
   },
   {
diff --git a/docs/tracing/agent_with_tracing.ipynb b/docs/tracing/agent_with_tracing.ipynb
index 59095c26..37687b7c 100644
--- a/docs/tracing/agent_with_tracing.ipynb
+++ b/docs/tracing/agent_with_tracing.ipynb
@@ -35,6 +35,7 @@
     "\n",
     "import langchain\n",
     "from langchain.agents import Tool, initialize_agent, load_tools\n",
+    "from langchain.agents.agent_types import AgentType\n",
     "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.llms import OpenAI"
    ]
@@ -93,7 +94,7 @@
    ],
    "source": [
     "agent = initialize_agent(\n",
-    "    tools, llm, agent=\"zero-shot-react-description\", verbose=True\n",
+    "    tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True\n",
     ")\n",
     "\n",
     "agent.run(\"What is 2 raised to .123243 power?\")"
@@ -177,7 +178,7 @@
    "source": [
     "# Agent run with tracing using a chat model\n",
     "agent = initialize_agent(\n",
-    "    tools, ChatOpenAI(temperature=0), agent=\"chat-zero-shot-react-description\", verbose=True\n",
+    "    tools, ChatOpenAI(temperature=0), agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True\n",
     ")\n",
     "\n",
     "agent.run(\"What is 2 raised to .123243 power?\")"
diff --git a/docs/use_cases/evaluation/agent_benchmarking.ipynb b/docs/use_cases/evaluation/agent_benchmarking.ipynb
index 26fcb4ad..398e328b 100644
--- a/docs/use_cases/evaluation/agent_benchmarking.ipynb
+++ b/docs/use_cases/evaluation/agent_benchmarking.ipynb
@@ -85,9 +85,10 @@
     "from langchain.llms import OpenAI\n",
     "from langchain.chains import LLMMathChain\n",
     "from langchain.agents import initialize_agent, Tool, load_tools\n",
+    "from langchain.agents.agent_types import AgentType\n",
     "\n",
     "tools = load_tools(['serpapi', 'llm-math'], llm=OpenAI(temperature=0))\n",
-    "agent = initialize_agent(tools, OpenAI(temperature=0), agent=\"zero-shot-react-description\")\n"
+    "agent = initialize_agent(tools, OpenAI(temperature=0), agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION)\n"
    ]
   },
   {
diff --git a/docs/use_cases/evaluation/agent_vectordb_sota_pg.ipynb b/docs/use_cases/evaluation/agent_vectordb_sota_pg.ipynb
index 45861e99..d36efada 100644
--- a/docs/use_cases/evaluation/agent_vectordb_sota_pg.ipynb
+++ b/docs/use_cases/evaluation/agent_vectordb_sota_pg.ipynb
@@ -255,6 +255,7 @@
    "outputs": [],
    "source": [
     "from langchain.agents import initialize_agent, Tool\n",
+    "from langchain.agents.agent_types import AgentType\n",
     "tools = [\n",
     "    Tool(\n",
     "        name = \"State of Union QA System\",\n",
@@ -276,7 +277,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "agent = initialize_agent(tools, OpenAI(temperature=0), agent=\"zero-shot-react-description\", max_iterations=3)"
+    "agent = initialize_agent(tools, OpenAI(temperature=0), agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, max_iterations=3)"
    ]
   },
   {
diff --git a/langchain/agents/agent_types.py b/langchain/agents/agent_types.py
new file mode 100644
index 00000000..117f59a5
--- /dev/null
+++ b/langchain/agents/agent_types.py
@@ -0,0 +1,10 @@
+from enum import Enum
+
+
+class AgentType(str, Enum):
+    ZERO_SHOT_REACT_DESCRIPTION = "zero-shot-react-description"
+    REACT_DOCSTORE = "react-docstore"
+    SELF_ASK_WITH_SEARCH = "self-ask-with-search"
+    CONVERSATIONAL_REACT_DESCRIPTION = "conversational-react-description"
+    CHAT_ZERO_SHOT_REACT_DESCRIPTION = "chat-zero-shot-react-description"
+    CHAT_CONVERSATIONAL_REACT_DESCRIPTION = "chat-conversational-react-description"
diff --git a/langchain/agents/conversational/base.py b/langchain/agents/conversational/base.py
index 23995797..921649d1 100644
--- a/langchain/agents/conversational/base.py
+++ b/langchain/agents/conversational/base.py
@@ -5,6 +5,7 @@ import re
 from typing import Any, List, Optional, Sequence, Tuple
 
 from langchain.agents.agent import Agent
+from langchain.agents.agent_types import AgentType
 from langchain.agents.conversational.prompt import FORMAT_INSTRUCTIONS, PREFIX, SUFFIX
 from langchain.callbacks.base import BaseCallbackManager
 from langchain.chains import LLMChain
@@ -21,7 +22,7 @@ class ConversationalAgent(Agent):
     @property
     def _agent_type(self) -> str:
         """Return Identifier of agent type."""
-        return "conversational-react-description"
+        return AgentType.CONVERSATIONAL_REACT_DESCRIPTION
 
     @property
     def observation_prefix(self) -> str:
diff --git a/langchain/agents/initialize.py b/langchain/agents/initialize.py
index 04277c60..72784b89 100644
--- a/langchain/agents/initialize.py
+++ b/langchain/agents/initialize.py
@@ -2,6 +2,7 @@
 from typing import Any, Optional, Sequence
 
 from langchain.agents.agent import AgentExecutor
+from langchain.agents.agent_types import AgentType
 from langchain.agents.loading import AGENT_TO_CLASS, load_agent
 from langchain.callbacks.base import BaseCallbackManager
 from langchain.schema import BaseLanguageModel
@@ -11,7 +12,7 @@ from langchain.tools.base import BaseTool
 def initialize_agent(
     tools: Sequence[BaseTool],
     llm: BaseLanguageModel,
-    agent: Optional[str] = None,
+    agent: Optional[AgentType] = None,
     callback_manager: Optional[BaseCallbackManager] = None,
     agent_path: Optional[str] = None,
     agent_kwargs: Optional[dict] = None,
@@ -22,15 +23,8 @@ def initialize_agent(
     Args:
         tools: List of tools this agent has access to.
         llm: Language model to use as the agent.
-        agent: A string that specified the agent type to use. Valid options are:
-            `zero-shot-react-description`
-            `react-docstore`
-            `self-ask-with-search`
-            `conversational-react-description`
-            `chat-zero-shot-react-description`,
-            `chat-conversational-react-description`,
-           If None and agent_path is also None, will default to
-            `zero-shot-react-description`.
+        agent: Agent type to use. If None and agent_path is also None, will default to
+            AgentType.ZERO_SHOT_REACT_DESCRIPTION.
         callback_manager: CallbackManager to use. Global callback manager is used if
             not provided. Defaults to None.
         agent_path: Path to serialized agent to use.
@@ -41,7 +35,7 @@ def initialize_agent(
         An agent executor
     """
     if agent is None and agent_path is None:
-        agent = "zero-shot-react-description"
+        agent = AgentType.ZERO_SHOT_REACT_DESCRIPTION
     if agent is not None and agent_path is not None:
         raise ValueError(
             "Both `agent` and `agent_path` are specified, "
diff --git a/langchain/agents/loading.py b/langchain/agents/loading.py
index 930ce925..01196b31 100644
--- a/langchain/agents/loading.py
+++ b/langchain/agents/loading.py
@@ -6,6 +6,7 @@ from typing import Any, List, Optional, Union
 import yaml
 
 from langchain.agents.agent import Agent
+from langchain.agents.agent_types import AgentType
 from langchain.agents.chat.base import ChatAgent
 from langchain.agents.conversational.base import ConversationalAgent
 from langchain.agents.conversational_chat.base import ConversationalChatAgent
@@ -18,12 +19,12 @@ from langchain.llms.base import BaseLLM
 from langchain.utilities.loading import try_load_from_hub
 
 AGENT_TO_CLASS = {
-    "zero-shot-react-description": ZeroShotAgent,
-    "react-docstore": ReActDocstoreAgent,
-    "self-ask-with-search": SelfAskWithSearchAgent,
-    "conversational-react-description": ConversationalAgent,
-    "chat-zero-shot-react-description": ChatAgent,
-    "chat-conversational-react-description": ConversationalChatAgent,
+    AgentType.ZERO_SHOT_REACT_DESCRIPTION: ZeroShotAgent,
+    AgentType.REACT_DOCSTORE: ReActDocstoreAgent,
+    AgentType.SELF_ASK_WITH_SEARCH: SelfAskWithSearchAgent,
+    AgentType.CONVERSATIONAL_REACT_DESCRIPTION: ConversationalAgent,
+    AgentType.CHAT_ZERO_SHOT_REACT_DESCRIPTION: ChatAgent,
+    AgentType.CHAT_CONVERSATIONAL_REACT_DESCRIPTION: ConversationalChatAgent,
 }
 
 URL_BASE = "https://raw.githubusercontent.com/hwchase17/langchain-hub/master/agents/"
diff --git a/langchain/agents/mrkl/base.py b/langchain/agents/mrkl/base.py
index a388a120..576c1bd8 100644
--- a/langchain/agents/mrkl/base.py
+++ b/langchain/agents/mrkl/base.py
@@ -5,6 +5,7 @@ import re
 from typing import Any, Callable, List, NamedTuple, Optional, Sequence, Tuple
 
 from langchain.agents.agent import Agent, AgentExecutor
+from langchain.agents.agent_types import AgentType
 from langchain.agents.mrkl.prompt import FORMAT_INSTRUCTIONS, PREFIX, SUFFIX
 from langchain.agents.tools import Tool
 from langchain.callbacks.base import BaseCallbackManager
@@ -56,7 +57,7 @@ class ZeroShotAgent(Agent):
     @property
     def _agent_type(self) -> str:
         """Return Identifier of agent type."""
-        return "zero-shot-react-description"
+        return AgentType.ZERO_SHOT_REACT_DESCRIPTION
 
     @property
     def observation_prefix(self) -> str:
diff --git a/langchain/agents/react/base.py b/langchain/agents/react/base.py
index bae6478b..68ba9476 100644
--- a/langchain/agents/react/base.py
+++ b/langchain/agents/react/base.py
@@ -5,6 +5,7 @@ from typing import Any, List, Optional, Sequence, Tuple
 from pydantic import BaseModel
 
 from langchain.agents.agent import Agent, AgentExecutor
+from langchain.agents.agent_types import AgentType
 from langchain.agents.react.textworld_prompt import TEXTWORLD_PROMPT
 from langchain.agents.react.wiki_prompt import WIKI_PROMPT
 from langchain.agents.tools import Tool
@@ -21,7 +22,7 @@ class ReActDocstoreAgent(Agent, BaseModel):
     @property
     def _agent_type(self) -> str:
         """Return Identifier of agent type."""
-        return "react-docstore"
+        return AgentType.REACT_DOCSTORE
 
     @classmethod
     def create_prompt(cls, tools: Sequence[BaseTool]) -> BasePromptTemplate:
diff --git a/langchain/agents/self_ask_with_search/base.py b/langchain/agents/self_ask_with_search/base.py
index 694273e3..4bc888e7 100644
--- a/langchain/agents/self_ask_with_search/base.py
+++ b/langchain/agents/self_ask_with_search/base.py
@@ -2,6 +2,7 @@
 from typing import Any, Optional, Sequence, Tuple, Union
 
 from langchain.agents.agent import Agent, AgentExecutor
+from langchain.agents.agent_types import AgentType
 from langchain.agents.self_ask_with_search.prompt import PROMPT
 from langchain.agents.tools import Tool
 from langchain.llms.base import BaseLLM
@@ -17,7 +18,7 @@ class SelfAskWithSearchAgent(Agent):
     @property
     def _agent_type(self) -> str:
         """Return Identifier of agent type."""
-        return "self-ask-with-search"
+        return AgentType.SELF_ASK_WITH_SEARCH
 
     @classmethod
     def create_prompt(cls, tools: Sequence[BaseTool]) -> BasePromptTemplate:
diff --git a/langchain/tools/zapier/tool.py b/langchain/tools/zapier/tool.py
index 275c9002..36a459f9 100644
--- a/langchain/tools/zapier/tool.py
+++ b/langchain/tools/zapier/tool.py
@@ -65,7 +65,7 @@ toolkit = ZapierToolkit.from_zapier_nla_wrapper(zapier)
 agent = initialize_agent(
     toolkit.get_tools(),
     llm,
-    agent="zero-shot-react-description",
+    agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
     verbose=True
 )
 
diff --git a/tests/unit_tests/agents/test_agent.py b/tests/unit_tests/agents/test_agent.py
index f928efa7..51a152f3 100644
--- a/tests/unit_tests/agents/test_agent.py
+++ b/tests/unit_tests/agents/test_agent.py
@@ -5,6 +5,7 @@ from typing import Any, List, Mapping, Optional
 from pydantic import BaseModel
 
 from langchain.agents import AgentExecutor, initialize_agent
+from langchain.agents.agent_types import AgentType
 from langchain.agents.tools import Tool
 from langchain.callbacks.base import CallbackManager
 from langchain.llms.base import LLM
@@ -55,7 +56,11 @@ def _get_agent(**kwargs: Any) -> AgentExecutor:
         ),
     ]
     agent = initialize_agent(
-        tools, fake_llm, agent="zero-shot-react-description", verbose=True, **kwargs
+        tools,
+        fake_llm,
+        agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
+        verbose=True,
+        **kwargs,
     )
     return agent
 
@@ -98,7 +103,7 @@ def test_agent_with_callbacks_global() -> None:
     agent = initialize_agent(
         tools,
         fake_llm,
-        agent="zero-shot-react-description",
+        agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
         verbose=True,
         callback_manager=manager,
     )
@@ -144,7 +149,7 @@ def test_agent_with_callbacks_local() -> None:
     agent = initialize_agent(
         tools,
         fake_llm,
-        agent="zero-shot-react-description",
+        agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
         verbose=True,
         callback_manager=manager,
     )
@@ -191,7 +196,7 @@ def test_agent_with_callbacks_not_verbose() -> None:
     agent = initialize_agent(
         tools,
         fake_llm,
-        agent="zero-shot-react-description",
+        agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
         callback_manager=manager,
     )
 
@@ -223,7 +228,7 @@ def test_agent_tool_return_direct() -> None:
     agent = initialize_agent(
         tools,
         fake_llm,
-        agent="zero-shot-react-description",
+        agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
     )
 
     output = agent.run("when was langchain made")
@@ -249,7 +254,7 @@ def test_agent_tool_return_direct_in_intermediate_steps() -> None:
     agent = initialize_agent(
         tools,
         fake_llm,
-        agent="zero-shot-react-description",
+        agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
         return_intermediate_steps=True,
     )
 
@@ -280,7 +285,7 @@ def test_agent_with_new_prefix_suffix() -> None:
     agent = initialize_agent(
         tools=tools,
         llm=fake_llm,
-        agent="zero-shot-react-description",
+        agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
         agent_kwargs={"prefix": prefix, "suffix": suffix},
     )
 
@@ -307,7 +312,7 @@ def test_agent_lookup_tool() -> None:
     agent = initialize_agent(
         tools=tools,
         llm=fake_llm,
-        agent="zero-shot-react-description",
+        agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
     )
 
     assert agent.lookup_tool("Search") == tools[0]