langchain/docs/modules/agents/examples/chat_agent.ipynb

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  {
   "cell_type": "markdown",
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   "source": [
    "# Chat Agent\n",
    "\n",
    "This notebook goes through how to create a ChatGPT based agent\n",
    "\n",
    "First, we set up the agent with tools as normal."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9af9734e",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.agents import ZeroShotAgent, Tool, AgentExecutor\n",
    "from langchain import OpenAI, SerpAPIWrapper, LLMChain, LLMMathChain, SQLDatabase, SQLDatabaseChain"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "becda2a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "llm = OpenAI(temperature=0)\n",
    "search = SerpAPIWrapper()\n",
    "llm_math_chain = LLMMathChain(llm=llm, verbose=True)\n",
    "db = SQLDatabase.from_uri(\"sqlite:///../../../../notebooks/Chinook.db\")\n",
    "db_chain = SQLDatabaseChain(llm=llm, database=db, verbose=True)\n",
    "tools = [\n",
    "    Tool(\n",
    "        name = \"Search\",\n",
    "        func=search.run,\n",
    "        description=\"useful for when you need to answer questions about current events. You should ask targeted questions\"\n",
    "    ),\n",
    "    Tool(\n",
    "        name=\"Calculator\",\n",
    "        func=llm_math_chain.run,\n",
    "        description=\"useful for when you need to answer questions about math\"\n",
    "    ),\n",
    "    Tool(\n",
    "        name=\"FooBar DB\",\n",
    "        func=db_chain.run,\n",
    "        description=\"useful for when you need to answer questions about FooBar. Input should be in the form of a question containing full context\"\n",
    "    )\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1717e36a",
   "metadata": {},
   "source": [
    "Now we create a ChatGPT based model and agent."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b1f12d80",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.chat_models.openai import ChatOpenAI\n",
    "from langchain.agents.chat.base import ChatAgent\n",
    "\n",
    "agent = ChatAgent.from_chat_model_and_tools(ChatOpenAI(temperature=0), tools)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f57b076",
   "metadata": {},
   "source": [
    "We can now use this as normal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "490604e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "agent_executor = AgentExecutor.from_agent_and_tools(agent=agent, tools=tools, verbose=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "653b1617",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
      "\u001b[32;1m\u001b[1;3mQuestion: Who is Dua Lipa's boyfriend? What is his current age raised to the 0.43 power?\n",
      "Thought: We need to find out the name of Dua Lipa's boyfriend and his current age.\n",
      "Action: Search\n",
      "Action Input: \"Dua Lipa boyfriend\"\n",
      "\u001b[0m\n",
      "Observation: \u001b[36;1m\u001b[1;3mDua Lipa was seen heading home from the Saint Laurent Paris Fashion Week show with her new boyfriend Romain Gavras on Tuesday. Advertisement.\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3mWe found out the name of Dua Lipa's boyfriend, now we need to find out his age.\n",
      "Action: Search\n",
      "Action Input: \"Romain Gavras age\"\n",
      "\u001b[0m\n",
      "Observation: \u001b[36;1m\u001b[1;3m41 years\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3mWe have the age of Romain Gavras, now we need to calculate his age raised to the 0.43 power.\n",
      "Action: Calculator\n",
      "Action Input: 41^(0.43)\n",
      "\n",
      "\u001b[0m\n",
      "\n",
      "\u001b[1m> Entering new LLMMathChain chain...\u001b[0m\n",
      "41^(0.43)\n",
      "\n",
      "\u001b[32;1m\u001b[1;3m```python\n",
      "print(41**(0.43))\n",
      "```\n",
      "\u001b[0m\n",
      "Answer: \u001b[33;1m\u001b[1;3m4.9373857399466665\n",
      "\u001b[0m\n",
      "\u001b[1m> Finished chain.\u001b[0m\n",
      "\n",
      "Observation: \u001b[33;1m\u001b[1;3mAnswer: 4.9373857399466665\n",
      "\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3mWe have the answer to the second question, which is 4.9373857399466665.\n",
      "Final Answer: Romain Gavras is Dua Lipa's boyfriend and his current age raised to the 0.43 power is 4.9373857399466665.\u001b[0m\n",
      "\n",
      "\u001b[1m> Finished chain.\u001b[0m\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "\"Romain Gavras is Dua Lipa's boyfriend and his current age raised to the 0.43 power is 4.9373857399466665.\""
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "agent_executor.run(\"Who is Dua Lipa's boyfriend? What is his current age raised to the 0.43 power?\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "adefb4c2",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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