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{
 "cells": [
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "---\n",
    "description: Exploring Langchain Tool capabilities\n",
    "output-file: lchain_tool.html\n",
    "title: lchain_tool\n",
    "\n",
    "---\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "language": "python"
   },
   "outputs": [],
   "source": [
    "from dotenv import load_dotenv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "language": "python"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "load_dotenv()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "language": "python"
   },
   "outputs": [],
   "source": [
    "llm = ChatOpenAI(temperature=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "language": "python"
   },
   "outputs": [],
   "source": [
    "tools = load_tools([\"llm-math\"], llm=llm)\n",
    "agent = initialize_agent(\n",
    "    tools,\n",
    "    llm,\n",
    "    agent=AgentType.CHAT_ZERO_SHOT_REACT_DESCRIPTION,\n",
    "    handle_parsing_errors=True,\n",
    "    verbose=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "language": "python"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "> Entering new AgentExecutor chain...\n",
      "We can calculate this using the Calculator tool.\n",
      "\n",
      "Action:\n",
      "```\n",
      "{\n",
      "  \"action\": \"Calculator\",\n",
      "  \"action_input\": \"0.03 * 300 * 30\"\n",
      "}\n",
      "```\n",
      "\n",
      "\n",
      "Observation: Answer: 270.0\n",
      "Thought:Could not parse LLM output: This is the correct answer to the question.\n",
      "Observation: Invalid or incomplete response\n",
      "Thought:Let me try the same action again.\n",
      "\n",
      "Action:\n",
      "```\n",
      "{\n",
      "  \"action\": \"Calculator\",\n",
      "  \"action_input\": \"0.03 * 300 * 30\"\n",
      "}\n",
      "```\n",
      "\n",
      "\n",
      "Observation: Answer: 270.0\n",
      "Thought:Could not parse LLM output: The tool gave the same answer, so I can be confident that it is correct.\n",
      "\n",
      "Observation: Invalid or incomplete response\n",
      "Thought:There seems to be an issue with the LLM response. Let me try a different way to calculate the answer.\n",
      "\n",
      "Action:\n",
      "```\n",
      "{\n",
      "  \"action\": \"Calculator\",\n",
      "  \"action_input\": \"300 * 30 * 0.03\"\n",
      "}\n",
      "```\n",
      "\n",
      "\n",
      "Observation: Answer: 270.0\n",
      "Thought:I have successfully calculated the answer to the question using the calculator tool.\n",
      "\n",
      "Final Answer: 270.0\n",
      "\n",
      "> Finished chain.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'input': 'What is the 3% of of 300 * 30?', 'output': '270.0'}"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "agent(\"What is the 3% of of 300 * 30?\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[SerpAPI Google Images](https://python.langchain.com/en/latest/modules/agents/tools/examples/google_serper.html#searching-for-google-images)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "language": "python"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'title': 'Easy Tofu Pad Thai',\n",
       "  'link': 'https://minimalistbaker.com/easy-tofu-pad-thai/',\n",
       "  'source': 'Minimalist Baker',\n",
       "  'rating': 4.9,\n",
       "  'reviews': 117,\n",
       "  'total_time': '30 min',\n",
       "  'ingredients': ['Pad thai rice',\n",
       "   'peanut sauce',\n",
       "   'thai red',\n",
       "   'soy sauce',\n",
       "   'bean sprouts']},\n",
       " {'title': 'Vegan Pad Thai',\n",
       "  'link': 'https://www.noracooks.com/vegan-pad-thai/',\n",
       "  'source': 'Nora Cooks',\n",
       "  'rating': 5.0,\n",
       "  'reviews': 53,\n",
       "  'total_time': '30 min',\n",
       "  'ingredients': ['Stir fry rice',\n",
       "   'mung bean sprouts',\n",
       "   'soy sauce',\n",
       "   'maple syrup',\n",
       "   'sriracha hot sauce']},\n",
       " {'title': 'Vegan Pad Thai',\n",
       "  'link': 'https://www.pickuplimes.com/recipe/speedy-vegan-pad-thai-116',\n",
       "  'source': 'Pick Up Limes',\n",
       "  'rating': 5.0,\n",
       "  'reviews': 34,\n",
       "  'total_time': '30 min',\n",
       "  'ingredients': ['Brown rice noodles',\n",
       "   'red hot',\n",
       "   'soy sauce',\n",
       "   'bean sprouts',\n",
       "   'sriracha hot sauce']}]"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "params = {\n",
    "    \"q\": \"Vegan pad thai recipes\",\n",
    "    \"location\": \"United States\",\n",
    "    \"hl\": \"en\",\n",
    "    \"gl\": \"us\",\n",
    "    \"api_key\": os.environ[\"SERPAPI_API_KEY\"],\n",
    "}\n",
    "\n",
    "search = GoogleSearch(params)\n",
    "results = search.get_dict()\n",
    "recipes_results = results[\"recipes_results\"]\n",
    "recipes_results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "language": "python"
   },
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "---\n",
       "\n",
       "### SerpAPIWrapper\n",
       "\n",
       ">      SerpAPIWrapper (search_engine:Any=None, params:dict={'engine': 'google',\n",
       ">                      'google_domain': 'google.com', 'gl': 'us', 'hl': 'en'},\n",
       ">                      serpapi_api_key:Optional[str]=None,\n",
       ">                      aiosession:Optional[aiohttp.client.ClientSession]=None)\n",
       "\n",
       "Wrapper around SerpAPI.\n",
       "\n",
       "To use, you should have the ``google-search-results`` python package installed,\n",
       "and the environment variable ``SERPAPI_API_KEY`` set with your API key, or pass\n",
       "`serpapi_api_key` as a named parameter to the constructor.\n",
       "\n",
       "Example:\n",
       "    .. code-block:: python\n",
       "\n",
       "        from langchain import SerpAPIWrapper\n",
       "        serpapi = SerpAPIWrapper()"
      ],
      "text/plain": [
       "---\n",
       "\n",
       "### SerpAPIWrapper\n",
       "\n",
       ">      SerpAPIWrapper (search_engine:Any=None, params:dict={'engine': 'google',\n",
       ">                      'google_domain': 'google.com', 'gl': 'us', 'hl': 'en'},\n",
       ">                      serpapi_api_key:Optional[str]=None,\n",
       ">                      aiosession:Optional[aiohttp.client.ClientSession]=None)\n",
       "\n",
       "Wrapper around SerpAPI.\n",
       "\n",
       "To use, you should have the ``google-search-results`` python package installed,\n",
       "and the environment variable ``SERPAPI_API_KEY`` set with your API key, or pass\n",
       "`serpapi_api_key` as a named parameter to the constructor.\n",
       "\n",
       "Example:\n",
       "    .. code-block:: python\n",
       "\n",
       "        from langchain import SerpAPIWrapper\n",
       "        serpapi = SerpAPIWrapper()"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#| echo: false\n",
    "#| output: asis\n",
    "show_doc(SerpAPIWrapper)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "---\n",
       "\n",
       "[source](https://github.com/animalequality/lv-recipe-chatbot/blob/main/lv_recipe_chatbot/lchain_tool.py#L19){target=\"_blank\" style=\"float:right; font-size:smaller\"}\n",
       "\n",
       "### RecipeSerpAPIWrapper\n",
       "\n",
       ">      RecipeSerpAPIWrapper (search_engine:Any=None, params:dict={'engine':\n",
       ">                            'google', 'google_domain': 'google.com', 'gl':\n",
       ">                            'us', 'hl': 'en'},\n",
       ">                            serpapi_api_key:Optional[str]=None, aiosession:Opti\n",
       ">                            onal[aiohttp.client.ClientSession]=None)\n",
       "\n",
       "Wrapper around SerpAPI.\n",
       "\n",
       "To use, you should have the ``google-search-results`` python package installed,\n",
       "and the environment variable ``SERPAPI_API_KEY`` set with your API key, or pass\n",
       "`serpapi_api_key` as a named parameter to the constructor.\n",
       "\n",
       "Example:\n",
       "    .. code-block:: python\n",
       "\n",
       "        from langchain import SerpAPIWrapper\n",
       "        serpapi = SerpAPIWrapper()"
      ],
      "text/plain": [
       "---\n",
       "\n",
       "[source](https://github.com/animalequality/lv-recipe-chatbot/blob/main/lv_recipe_chatbot/lchain_tool.py#L19){target=\"_blank\" style=\"float:right; font-size:smaller\"}\n",
       "\n",
       "### RecipeSerpAPIWrapper\n",
       "\n",
       ">      RecipeSerpAPIWrapper (search_engine:Any=None, params:dict={'engine':\n",
       ">                            'google', 'google_domain': 'google.com', 'gl':\n",
       ">                            'us', 'hl': 'en'},\n",
       ">                            serpapi_api_key:Optional[str]=None, aiosession:Opti\n",
       ">                            onal[aiohttp.client.ClientSession]=None)\n",
       "\n",
       "Wrapper around SerpAPI.\n",
       "\n",
       "To use, you should have the ``google-search-results`` python package installed,\n",
       "and the environment variable ``SERPAPI_API_KEY`` set with your API key, or pass\n",
       "`serpapi_api_key` as a named parameter to the constructor.\n",
       "\n",
       "Example:\n",
       "    .. code-block:: python\n",
       "\n",
       "        from langchain import SerpAPIWrapper\n",
       "        serpapi = SerpAPIWrapper()"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#| echo: false\n",
    "#| output: asis\n",
    "show_doc(RecipeSerpAPIWrapper)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "language": "python"
   },
   "outputs": [],
   "source": [
    "params = {\n",
    "    \"location\": \"United States\",\n",
    "    \"hl\": \"en\",\n",
    "    \"gl\": \"us\",\n",
    "}\n",
    "search = RecipeSerpAPIWrapper(params=params)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "language": "python"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'title': 'Easy Vegan Fried Rice',\n",
       "  'link': 'https://minimalistbaker.com/easy-vegan-fried-rice/',\n",
       "  'source': 'Minimalist Baker',\n",
       "  'rating': 4.8,\n",
       "  'reviews': 457,\n",
       "  'total_time': '1 hr 15 min',\n",
       "  'ingredients': ['Peanut butter',\n",
       "   'grain brown rice',\n",
       "   'soy sauce',\n",
       "   'maple syrup',\n",
       "   'chili garlic sauce']},\n",
       " {'title': 'The Best Vegan Fried Rice',\n",
       "  'link': 'https://shortgirltallorder.com/best-vegan-fried-rice',\n",
       "  'source': 'Short Girl Tall Order',\n",
       "  'rating': 4.8,\n",
       "  'reviews': 65,\n",
       "  'total_time': '28 min',\n",
       "  'ingredients': ['Soy sauce',\n",
       "   'white rice',\n",
       "   'rice wine vinegar',\n",
       "   'sugar',\n",
       "   'fresh peas']},\n",
       " {'title': 'Vegan Fried Rice',\n",
       "  'link': 'https://www.noracooks.com/vegan-fried-rice/',\n",
       "  'source': 'Nora Cooks',\n",
       "  'rating': 5.0,\n",
       "  'reviews': 15,\n",
       "  'total_time': '20 min',\n",
       "  'ingredients': ['Gluten free',\n",
       "   'nutritional yeast',\n",
       "   'toasted sesame oil',\n",
       "   'carrots',\n",
       "   'olive oil']}]"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vegan_recipes = search.run(\"Vegan fried rice recipes\")\n",
    "vegan_recipes[0:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "language": "python"
   },
   "outputs": [],
   "source": [
    "params = {\n",
    "    \"engine\": \"google_images\",\n",
    "    \"q\": \"Vegan pad thai recipes\",\n",
    "    \"location\": \"United States\",\n",
    "    \"api_key\": os.environ[\"SERPAPI_API_KEY\"],\n",
    "}\n",
    "\n",
    "search = GoogleSearch(params)\n",
    "results = search.get_dict()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "language": "python"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Easy Tofu Pad Thai (Vegan) | Minimalist Baker Recipes'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "'https://minimalistbaker.com/easy-tofu-pad-thai/'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"https://serpapi.com/searches/6480db18c56d93170a8e715f/images/6f34b4708ae4dd36a28ca4ca4a3abf6af168f575eef7bd2e8f81a12e175fcf53.jpeg\"/>"
      ],
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "'Healthier vegan pad thai - Lazy Cat Kitchen'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "'https://www.lazycatkitchen.com/healthier-vegan-pad-thai/'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"https://serpapi.com/searches/6480db18c56d93170a8e715f/images/6f34b4708ae4dd36dee6fed89369c822a79ad529f726d1a65fdd09459c0a0b6a.jpeg\"/>"
      ],
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "'The Best Vegan Pad Thai - Full of Plants'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "'https://fullofplants.com/the-best-vegan-pad-thai/'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"https://serpapi.com/searches/6480db18c56d93170a8e715f/images/6f34b4708ae4dd3695828a207980e4280bb4e14cdccb84ebf5350f19237416f8.jpeg\"/>"
      ],
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "'Easy Vegan Pad Thai - Oh My Veggies'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "'https://ohmyveggies.com/easy-vegan-pad-thai/'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"https://serpapi.com/searches/6480db18c56d93170a8e715f/images/6f34b4708ae4dd36885ca51553e15b434e41039ef307ecbb4869522eeeefcfa5.jpeg\"/>"
      ],
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "'Easy Vegan Pad Thai - My Darling Vegan'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "'https://www.mydarlingvegan.com/vegan-pad-thai/'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"https://serpapi.com/searches/6480db18c56d93170a8e715f/images/6f34b4708ae4dd36a554bfded8055a9df50470d25fe62e19b9de5f16e262497f.jpeg\"/>"
      ],
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for r in results[\"images_results\"][0:5]:\n",
    "    display(r[\"title\"], r[\"link\"], Image(url=r[\"thumbnail\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "language": "python"
   },
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "---\n",
       "\n",
       "### load_tools\n",
       "\n",
       ">      load_tools (tool_names:List[str],\n",
       ">                  llm:Optional[langchain.base_language.BaseLanguageModel]=None,\n",
       ">                  callbacks:Union[List[langchain.callbacks.base.BaseCallbackHan\n",
       ">                  dler],langchain.callbacks.base.BaseCallbackManager,NoneType]=\n",
       ">                  None, **kwargs:Any)\n",
       "\n",
       "Load tools based on their name.\n",
       "\n",
       "Args:\n",
       "    tool_names: name of tools to load.\n",
       "    llm: Optional language model, may be needed to initialize certain tools.\n",
       "    callbacks: Optional callback manager or list of callback handlers.\n",
       "        If not provided, default global callback manager will be used.\n",
       "\n",
       "Returns:\n",
       "    List of tools."
      ],
      "text/plain": [
       "---\n",
       "\n",
       "### load_tools\n",
       "\n",
       ">      load_tools (tool_names:List[str],\n",
       ">                  llm:Optional[langchain.base_language.BaseLanguageModel]=None,\n",
       ">                  callbacks:Union[List[langchain.callbacks.base.BaseCallbackHan\n",
       ">                  dler],langchain.callbacks.base.BaseCallbackManager,NoneType]=\n",
       ">                  None, **kwargs:Any)\n",
       "\n",
       "Load tools based on their name.\n",
       "\n",
       "Args:\n",
       "    tool_names: name of tools to load.\n",
       "    llm: Optional language model, may be needed to initialize certain tools.\n",
       "    callbacks: Optional callback manager or list of callback handlers.\n",
       "        If not provided, default global callback manager will be used.\n",
       "\n",
       "Returns:\n",
       "    List of tools."
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#| echo: false\n",
    "#| output: asis\n",
    "show_doc(load_tools)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here is the SerpAPIWrapper tool implementation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "language": "python"
   },
   "outputs": [],
   "source": [
    "from langchain.agents.load_tools import _get_serpapi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "language": "python"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[0;31mSignature:\u001b[0m \u001b[0m_get_serpapi\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mlangchain\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtools\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbase\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mBaseTool\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mDocstring:\u001b[0m <no docstring>\n",
       "\u001b[0;31mSource:\u001b[0m   \n",
       "\u001b[0;32mdef\u001b[0m \u001b[0m_get_serpapi\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mBaseTool\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0;32mreturn\u001b[0m \u001b[0mTool\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mname\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"Search\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mdescription\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"A search engine. Useful for when you need to answer questions about current events. Input should be a search query.\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mfunc\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mSerpAPIWrapper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mcoroutine\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mSerpAPIWrapper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marun\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mFile:\u001b[0m      ~/AnimalEquality/lv-recipe-chatbot/env/lib/python3.10/site-packages/langchain/agents/load_tools.py\n",
       "\u001b[0;31mType:\u001b[0m      function"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "??_get_serpapi"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's use that for inspiration for our recipe version of the tool"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "language": "python"
   },
   "outputs": [],
   "source": [
    "params = {\n",
    "    \"location\": \"United States\",\n",
    "    \"hl\": \"en\",\n",
    "    \"gl\": \"us\",\n",
    "}\n",
    "search = RecipeSerpAPIWrapper(params=params)\n",
    "serpapi_recipe_tool = Tool(\n",
    "    name=\"Vegan Recipe Search\",\n",
    "    description=\"A search engine. Useful for when you need to fetch existing vetted vegan recipes. Input should be a vegan recipe search query.\",\n",
    "    func=search.run,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "language": "python"
   },
   "outputs": [],
   "source": [
    "@tool\n",
    "def time(text: str) -> str:\n",
    "    \"\"\"Returns todays date, use this for any\n",
    "    questions related to knowing todays date.\n",
    "    The input should always be an empty string,\n",
    "    and this function will always return todays\n",
    "    date - any date mathmatics should occur\n",
    "    outside this function.\"\"\"\n",
    "    return str(date.today())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "language": "python"
   },
   "outputs": [],
   "source": [
    "agent = initialize_agent(\n",
    "    [time],\n",
    "    llm,\n",
    "    agent=AgentType.CHAT_ZERO_SHOT_REACT_DESCRIPTION,\n",
    "    handle_parsing_errors=True,\n",
    "    verbose=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "language": "python"
   },
   "outputs": [],
   "source": [
    "@tool\n",
    "def vegan_recipe_search_serpapi(text: str) -> str:\n",
    "    \"\"\"Returns a JSON/Python list of dictionaries of recipe data with keys in format:\n",
    "    ```\n",
    "    'title': str,\n",
    "    'link': str,\n",
    "    'source': str,\n",
    "    'rating': int,\n",
    "    'reviews': int,\n",
    "    'total_time': str,\n",
    "    'ingredients': [\n",
    "        str,\n",
    "        str,\n",
    "    ```\n",
    "    The input must be the name of a vegan recipe \\\n",
    "    or query parameters such as ingredients to include, prep time, cuisine region. \\\n",
    "    Only execute the search for vegan recipes and ingredients. \\\n",
    "    If the SerpAPI request errors or recipes are not found, \\\n",
    "    an explanation message will be returned instead of the recipe JSON.\"\"\"\n",
    "    params = {\n",
    "        \"q\": text,\n",
    "        \"location\": \"United States\",\n",
    "        \"hl\": \"en\",\n",
    "        \"gl\": \"us\",\n",
    "        \"api_key\": os.environ[\"SERPAPI_API_KEY\"],\n",
    "    }\n",
    "\n",
    "    search = GoogleSearch(params)\n",
    "    results = search.get_dict()\n",
    "    if \"error\" in results.keys():\n",
    "        return f\"Received an error from SerpAPI: {results['error']}\\n Query: {text}\"\n",
    "\n",
    "    if \"recipes_results\" in results.keys():\n",
    "        return str(results[\"recipes_results\"])\n",
    "\n",
    "    return \"No recipes found for that query\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create an agent with the tool"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "language": "python"
   },
   "outputs": [],
   "source": [
    "agent = initialize_agent(\n",
    "    tools=[vegan_recipe_serpapi_search],\n",
    "    llm=llm,\n",
    "    agent=AgentType.CHAT_ZERO_SHOT_REACT_DESCRIPTION,\n",
    "    handle_parsing_errors=True,\n",
    "    verbose=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "language": "python"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "> Entering new AgentExecutor chain...\n",
      "Thought: I can use the `vegan_recipe_serpapi_search` tool to search for vegan pad thai recipes.\n",
      "\n",
      "Action:\n",
      "```\n",
      "{\n",
      "  \"action\": \"vegan_recipe_serpapi_search\",\n",
      "  \"action_input\": \"vegan pad thai\"\n",
      "}\n",
      "```\n",
      "\n",
      "\n",
      "Observation: [{'title': 'Vegan Pad Thai', 'link': 'https://www.noracooks.com/vegan-pad-thai/', 'source': 'Nora Cooks', 'rating': 5.0, 'reviews': 53, 'total_time': '30 min', 'ingredients': ['Stir fry rice', 'mung bean sprouts', 'soy sauce', 'maple syrup', 'sriracha hot sauce']}, {'title': 'Easy Tofu Pad Thai', 'link': 'https://minimalistbaker.com/easy-tofu-pad-thai/', 'source': 'Minimalist Baker', 'rating': 4.9, 'reviews': 117, 'total_time': '30 min', 'ingredients': ['Pad thai rice', 'peanut sauce', 'thai red', 'soy sauce', 'bean sprouts']}, {'title': 'Vegan Pad Thai', 'link': 'https://www.pickuplimes.com/recipe/speedy-vegan-pad-thai-116', 'source': 'Pick Up Limes', 'rating': 5.0, 'reviews': 34, 'total_time': '30 min', 'ingredients': ['Brown rice noodles', 'red hot', 'soy sauce', 'bean sprouts', 'sriracha hot sauce']}]\n",
      "Thought:Could not parse LLM output: The `vegan_recipe_serpapi_search` tool returned a list of three vegan pad thai recipes with their titles, links, sources, ratings, reviews, total time, and ingredients.\n",
      "Observation: Invalid or incomplete response\n",
      "Thought:I will try running the `vegan_recipe_serpapi_search` tool again with the input \"vegan pad thai\".\n",
      "\n",
      "Action:\n",
      "```\n",
      "{\n",
      "  \"action\": \"vegan_recipe_serpapi_search\",\n",
      "  \"action_input\": \"vegan pad thai\"\n",
      "}\n",
      "```\n",
      "\n",
      "\n",
      "\n",
      "Observation: [{'title': 'Vegan Pad Thai', 'link': 'https://www.noracooks.com/vegan-pad-thai/', 'source': 'Nora Cooks', 'rating': 5.0, 'reviews': 53, 'total_time': '30 min', 'ingredients': ['Stir fry rice', 'mung bean sprouts', 'soy sauce', 'maple syrup', 'sriracha hot sauce']}, {'title': 'Easy Tofu Pad Thai', 'link': 'https://minimalistbaker.com/easy-tofu-pad-thai/', 'source': 'Minimalist Baker', 'rating': 4.9, 'reviews': 117, 'total_time': '30 min', 'ingredients': ['Pad thai rice', 'peanut sauce', 'thai red', 'soy sauce', 'bean sprouts']}, {'title': 'Vegan Pad Thai', 'link': 'https://www.pickuplimes.com/recipe/speedy-vegan-pad-thai-116', 'source': 'Pick Up Limes', 'rating': 5.0, 'reviews': 34, 'total_time': '30 min', 'ingredients': ['Brown rice noodles', 'red hot', 'soy sauce', 'bean sprouts', 'sriracha hot sauce']}]\n",
      "Thought:Could not parse LLM output: The `vegan_recipe_serpapi_search` tool returned a list of three vegan pad thai recipes with their titles, links, sources, ratings, reviews, total time, and ingredients.\n",
      "\n",
      "Observation: Invalid or incomplete response\n",
      "Thought:I will try running the `vegan_recipe_serpapi_search` tool again with the input \"vegan pad thai recipes\".\n",
      "\n",
      "Action:\n",
      "```\n",
      "{\n",
      "  \"action\": \"vegan_recipe_serpapi_search\",\n",
      "  \"action_input\": \"vegan pad thai recipes\"\n",
      "}\n",
      "```\n",
      "\n",
      "\n",
      "\n",
      "Observation: [{'title': 'Easy Tofu Pad Thai', 'link': 'https://minimalistbaker.com/easy-tofu-pad-thai/', 'source': 'Minimalist Baker', 'rating': 4.9, 'reviews': 117, 'total_time': '30 min', 'ingredients': ['Pad thai rice', 'peanut sauce', 'thai red', 'soy sauce', 'bean sprouts']}, {'title': 'Vegan Pad Thai', 'link': 'https://www.noracooks.com/vegan-pad-thai/', 'source': 'Nora Cooks', 'rating': 5.0, 'reviews': 53, 'total_time': '30 min', 'ingredients': ['Stir fry rice', 'mung bean sprouts', 'soy sauce', 'maple syrup', 'sriracha hot sauce']}, {'title': 'Vegan Pad Thai', 'link': 'https://www.pickuplimes.com/recipe/speedy-vegan-pad-thai-116', 'source': 'Pick Up Limes', 'rating': 5.0, 'reviews': 34, 'total_time': '30 min', 'ingredients': ['Brown rice noodles', 'red hot', 'soy sauce', 'bean sprouts', 'sriracha hot sauce']}]\n",
      "Thought:Could not parse LLM output: I have successfully used the `vegan_recipe_serpapi_search` tool to search for vegan pad thai recipes. The tool returned a list of three vegan pad thai recipes with their titles, links, sources, ratings, reviews, total time, and ingredients.\n",
      "\n",
      "\n",
      "Observation: Invalid or incomplete response\n",
      "Thought:I will try running the `vegan_recipe_serpapi_search` tool again with the input \"vegan pad thai recipe\".\n",
      "\n",
      "Action:\n",
      "```\n",
      "{\n",
      "  \"action\": \"vegan_recipe_serpapi_search\",\n",
      "  \"action_input\": \"vegan pad thai recipe\"\n",
      "}\n",
      "```\n",
      "\n",
      "\n",
      "\n",
      "Observation: [{'title': 'Easy Tofu Pad Thai', 'link': 'https://minimalistbaker.com/easy-tofu-pad-thai/', 'source': 'Minimalist Baker', 'rating': 4.9, 'reviews': 117, 'total_time': '30 min', 'ingredients': ['Pad thai rice', 'peanut sauce', 'thai red', 'soy sauce', 'bean sprouts']}, {'title': 'Vegan Pad Thai', 'link': 'https://www.noracooks.com/vegan-pad-thai/', 'source': 'Nora Cooks', 'rating': 5.0, 'reviews': 53, 'total_time': '30 min', 'ingredients': ['Stir fry rice', 'mung bean sprouts', 'soy sauce', 'maple syrup', 'sriracha hot sauce']}, {'title': 'Vegan Pad Thai', 'link': 'https://www.pickuplimes.com/recipe/speedy-vegan-pad-thai-116', 'source': 'Pick Up Limes', 'rating': 5.0, 'reviews': 34, 'total_time': '30 min', 'ingredients': ['Brown rice noodles', 'red hot', 'soy sauce', 'bean sprouts', 'sriracha hot sauce']}]\n",
      "Thought:Could not parse LLM output: I have successfully used the `vegan_recipe_serpapi_search` tool to search for vegan pad thai recipes. The tool returned a list of three vegan pad thai recipes with their titles, links, sources, ratings, reviews, total time, and ingredients. \n",
      "\n",
      "Final Answer: Here are three vegan pad thai recipes: \n",
      "1. Easy Tofu Pad Thai from Minimalist Baker\n",
      "2. Vegan Pad Thai from Nora Cooks\n",
      "3. Vegan Pad Thai from Pick Up Limes.\n",
      "\n",
      "> Finished chain.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'Here are three vegan pad thai recipes: \\n1. Easy Tofu Pad Thai from Minimalist Baker\\n2. Vegan Pad Thai from Nora Cooks\\n3. Vegan Pad Thai from Pick Up Limes.'"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "agent.run(\"Search vegan pad thai recipes\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This doc should be corrected [LangChain serpapi doc could be updated](https://python.langchain.com/en/latest/modules/agents/tools/examples/serpapi.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "language": "python"
   },
   "outputs": [],
   "source": [
    "search = GoogleSerperAPIWrapper(type=\"search\")\n",
    "results = search.results(\"Lion\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[edamam](https://www.edamam.com/)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "language": "python"
   },
   "outputs": [],
   "source": []
  }
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