02_ReAct_Agent_lesson_project.ipynb

{
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  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# **Snack & Stream Planner: A ReAct-Powered AI Agent**\n",
        "## **Concept**\n",
        "An intelligent planner that pairs Netflix or other streaming show recommendations with unique snack or meal ideas\n",
        "  \n",
        "## **Example:**\n",
        "“You’re watching Stranger Things? How about homemade Eggos or a ‘Demogorgon-themed’ milkshake?”\n",
        "\n",
        "## **Why This Planner?**\n",
        "- Combines Two Universal Passions: Merges the love for food and binge-watching to enhance user experience.\n",
        "- Personalization: Utilizes the ReAct framework to make dynamic and context-aware recommendations based on user preferences and feedback.\n",
        "\n",
        "## **Tools/APIs**\n",
        "\n",
        "- **uNoGS (Unofficial Netflix API)** for show or movie data.\n",
        "- **spoonacular** for recipe suggestions."
      ],
      "metadata": {
        "id": "aRhIaNSnjAtB"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **Flow Chart**"
      ],
      "metadata": {
        "id": "HYJTLEsrOVmL"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "![image.png](data:image/png;base64,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)"
      ],
      "metadata": {
        "id": "_iiu5GVk8Z5P"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from typing import Dict, Any\n",
        "import re\n",
        "from openai import OpenAI\n",
        "from google.colab import userdata\n",
        "import requests\n",
        "from IPython.display import Image, HTML, display"
      ],
      "metadata": {
        "id": "nz1dkwWs3s4R"
      },
      "execution_count": 54,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def extract_action_and_input(text):\n",
        "  action = re.search(r\"Action: (.*)\", text)\n",
        "  action_input = re.search(r\"Action Input: (.*)\", text)\n",
        "  return action.group(1).strip() if action else None, action_input.group(1).strip() if action else None"
      ],
      "metadata": {
        "id": "m0TMLo2435Bz"
      },
      "execution_count": 36,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def unogs_search(action_input: str):\n",
        "    \"\"\"\n",
        "    Searches for Netflix content using the uNoGS API.\n",
        "\n",
        "    Example:\n",
        "        >>> result = unogs_search(\"horror movies\")\n",
        "        >>> print(result)\n",
        "        {\n",
        "            'shows': [\n",
        "                {\n",
        "                    'title': 'The Conjuring',\n",
        "                    'description': 'Paranormal investigators...',\n",
        "                    'watch_url': 'https://netflix.com/title/12345',\n",
        "                    'image_url': 'https://...',\n",
        "                    'rating': '7.5/10',\n",
        "                    'type': 'movie',\n",
        "                    'year': '2013'\n",
        "                }\n",
        "            ]\n",
        "        }\n",
        "    \"\"\"\n",
        "    url = \"https://unogsng.p.rapidapi.com/search\"\n",
        "\n",
        "    headers = {\n",
        "        'x-rapidapi-key': userdata.get('RAPID_API_KEY'),\n",
        "        'x-rapidapi-host': \"unogsng.p.rapidapi.com\"\n",
        "    }\n",
        "\n",
        "    params = {\n",
        "        'query': action_input,\n",
        "        'limit': '5',\n",
        "        'orderby': 'rating'\n",
        "    }\n",
        "\n",
        "    try:\n",
        "        response = requests.get(url, headers=headers, params=params, timeout=10)\n",
        "        response.raise_for_status()\n",
        "\n",
        "        data = response.json()\n",
        "        if data.get('results') and isinstance(data.get('results'), list) and len(data['results']) > 0:\n",
        "            shows = []\n",
        "            for show in data['results']:\n",
        "                nfid = show.get('nfid')\n",
        "                image_url = show.get('img') or show.get('poster')\n",
        "                watch_url = f\"https://www.netflix.com/title/{nfid}\" if nfid else \"URL not available\"\n",
        "\n",
        "                # Get both IMDb and Netflix ratings\n",
        "                imdb_rating = show.get('imdbrating')\n",
        "                netflix_rating = show.get('avgrating')\n",
        "\n",
        "                # Format the rating string\n",
        "                rating = []\n",
        "                if imdb_rating:\n",
        "                    rating.append(f\"IMDb: {imdb_rating}/10\")\n",
        "                if netflix_rating:\n",
        "                    # Convert Netflix's 5-point scale to a percentage\n",
        "                    netflix_percent = round((netflix_rating / 5) * 100)\n",
        "                    rating.append(f\"Netflix: {netflix_percent}%\")\n",
        "\n",
        "                rating_str = \" | \".join(rating) if rating else \"No rating available\"\n",
        "\n",
        "                # Convert runtime from seconds to hours/minutes\n",
        "                runtime_secs = show.get('runtime')\n",
        "                if runtime_secs:\n",
        "                    hours = runtime_secs // 3600\n",
        "                    minutes = (runtime_secs % 3600) // 60\n",
        "                    runtime = f\"{hours}h {minutes}m\" if hours else f\"{minutes}m\"\n",
        "                else:\n",
        "                    runtime = \"Unknown duration\"\n",
        "\n",
        "                shows.append({\n",
        "                    \"title\": show.get('title', 'Unknown Title'),\n",
        "                    \"description\": show.get('synopsis', 'No description available'),\n",
        "                    \"watch_url\": watch_url,\n",
        "                    \"image_url\": image_url,\n",
        "                    \"rating\": rating_str,\n",
        "                    \"type\": show.get('vtype', 'unknown'),\n",
        "                    \"year\": show.get('year', 'unknown'),\n",
        "                    \"runtime\": runtime,\n",
        "                    \"imdb_id\": show.get('imdbid')\n",
        "                })\n",
        "\n",
        "            return {\n",
        "                \"shows\": shows,\n",
        "                \"query\": action_input,\n",
        "                \"total_results\": data.get('total', 0)\n",
        "            }\n",
        "\n",
        "        return {\n",
        "            \"error\": \"No results found\",\n",
        "            \"query\": action_input\n",
        "        }\n",
        "\n",
        "    except requests.exceptions.RequestException as e:\n",
        "        return {\n",
        "            \"error\": f\"API request failed: {str(e)}\",\n",
        "            \"query\": action_input\n",
        "        }\n",
        "    except Exception as e:\n",
        "        return {\n",
        "            \"error\": f\"Unexpected error: {str(e)}\",\n",
        "            \"query\": action_input\n",
        "        }\n"
      ],
      "metadata": {
        "id": "Nt_sdo0VvQpL"
      },
      "execution_count": 51,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "unogs_search('comedy')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8gAoUD_JrRY3",
        "outputId": "ac75a532-59e4-4689-a32c-7b92568e842c"
      },
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'shows': [{'title': 'Louis C.K.: Live at the Comedy Store',\n",
              "   'description': 'The comic puts his trademark hilarious/thought-provoking spin on finding a bat in his kitchen, seeing rats having sex, Boston accents and dead pets.',\n",
              "   'watch_url': 'https://www.netflix.com/title/80114111',\n",
              "   'image_url': 'http://occ-0-2851-38.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABU1IbY5fP8gSbKAseRESqL2YcTvKrUwXsMgSM_DR0Fes5E3bojtfnlbsdKOizsVJzpDmaxmhJwfwZd0U3u3eTeFbTQ.jpg?r=034',\n",
              "   'rating': 'IMDb: 7.8/10 | Netflix: 61%',\n",
              "   'type': 'movie',\n",
              "   'year': 2015,\n",
              "   'runtime': '1h 5m',\n",
              "   'imdb_id': 'tt4368814'},\n",
              "  {'title': 'The Comedy Man',\n",
              "   'description': 'After sabotaging his last gig, a struggling middle-aged actor gets one last shot at his career when he lands the leading role in several TV ads.',\n",
              "   'watch_url': 'https://www.netflix.com/title/81441762',\n",
              "   'image_url': 'https://occ-0-2851-41.1.nflxso.net/dnm/api/v6/oQyw8Fv9eE41UPapt7zHvdUdzrE/AAAABc1Iu6sHMN4nfiCixS4bYoN-Z4nlSzzErH3yXU9O1yrnprPyy4c0LtJjPbdsdB1CRSwK-Q3bd1GZScDpJcIHUcqYQzsZyFKrgw.jpg?r=7d9',\n",
              "   'rating': 'IMDb: 7.0/10',\n",
              "   'type': 'movie',\n",
              "   'year': 1964,\n",
              "   'runtime': '1h 31m',\n",
              "   'imdb_id': 'tt0056942'},\n",
              "  {'title': 'Hannibal Buress: Comedy Camisado',\n",
              "   'description': 'In a special packed with stealthy humor, Hannibal Buress tackles zipper etiquette, the legacy of steroids and the fallout from his Bill Cosby routine.',\n",
              "   'watch_url': 'https://www.netflix.com/title/80059410',\n",
              "   'image_url': 'http://occ-0-2851-38.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABXXB-Wvim78w8Tt3J20YF_ZKACWo6NMIQbXO9Iu68Gcfiz0cUJfSmn4XCTx61uhBFwHUlGefnEwIeAcZv3C_LtQYeVALjYL8-S_nrxKpBFAJG4aIxxYL9_rp5zQ.jpg?r=e10',\n",
              "   'rating': 'IMDb: 6.6/10 | Netflix: 69%',\n",
              "   'type': 'movie',\n",
              "   'year': 2016,\n",
              "   'runtime': '1h 7m',\n",
              "   'imdb_id': 'tt5352432'},\n",
              "  {'title': 'Def Comedy Jam 25',\n",
              "   'description': 'In this special live event, giants of stand-up come together to commemorate the 25th anniversary of Russell Simmons&#39;s groundbreaking &#39;Def Comedy Jam.&#39;',\n",
              "   'watch_url': 'https://www.netflix.com/title/80151483',\n",
              "   'image_url': 'http://occ-0-2851-38.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABctn_XteGQTmcCb0Rsa7j7GGhGxDt92wqMDDC_pHjIsbAS1ZAZKo9xKk7i9TBYYeYaMKLRRVExTsyJifPDpXbZmkS6uwK2qJYVQq-o7fQyJvYCxPSp5PhPmx-co.jpg?r=114',\n",
              "   'rating': 'IMDb: 6.6/10',\n",
              "   'type': 'movie',\n",
              "   'year': 2017,\n",
              "   'runtime': '1h 21m',\n",
              "   'imdb_id': 'tt7427130'},\n",
              "  {'title': 'Snoop Dogg&#39;s F*cn Around Comedy Special',\n",
              "   'description': 'Snoop Dogg hosts a night of music and stand-up as he welcomes his friends — including legendary comedians Katt Williams and Mike Epps — to the stage.',\n",
              "   'watch_url': 'https://www.netflix.com/title/81218432',\n",
              "   'image_url': 'https://occ-0-3786-2567.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABV1XA-6wYEItouwPso7fVVbUULxXDySJ61Uk-Jy-fI3395wHPX_C5Zyp5gIcU3jPcg6fyT-PoSuYJEqOiudEhcuMOp7soRiy5HgxX4H5F1ARWvaVihTpuMkSLmyAsqE7BXc.jpg?r=c29',\n",
              "   'rating': 'IMDb: 6.3/10',\n",
              "   'type': 'movie',\n",
              "   'year': 2022,\n",
              "   'runtime': '1h 7m',\n",
              "   'imdb_id': 'tt4451258'}],\n",
              " 'query': 'comedy',\n",
              " 'total_results': 35}"
            ]
          },
          "metadata": {},
          "execution_count": 52
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def get_recipe_suggestions(query: str) -> Dict[str, Any]:\n",
        "    \"\"\"Get recipe suggestions from Spoonacular API\"\"\"\n",
        "    api_key = userdata.get('SPOONACULAR_API_KEY')\n",
        "    url = f\"https://api.spoonacular.com/recipes/complexSearch\"\n",
        "\n",
        "    params = {\n",
        "        \"apiKey\": api_key,\n",
        "        \"query\": query,\n",
        "        \"number\": 2,\n",
        "        \"addRecipeInformation\": True\n",
        "    }\n",
        "\n",
        "    response = requests.get(url, params=params)\n",
        "    if response.status_code == 200:\n",
        "        data = response.json()\n",
        "        if data.get('results'):\n",
        "            recipes = data['results']\n",
        "            return {\n",
        "                \"recipes\": [{\n",
        "                    \"title\": recipe.get('title'),\n",
        "                    \"url\": recipe.get('sourceUrl'),\n",
        "                    \"readyInMinutes\": recipe.get('readyInMinutes')\n",
        "                } for recipe in recipes]\n",
        "            }\n",
        "    return {\"error\": \"Unable to fetch recipes\"}"
      ],
      "metadata": {
        "id": "vKeyz_KVXTGb"
      },
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "get_recipe_suggestions('cheese burger')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "n5vGVJFeXVU0",
        "outputId": "7f44c908-1b49-4df1-a38e-0f929bbd7992"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'recipes': [{'title': 'Everything Bagel Cheese Burger',\n",
              "   'url': 'https://fullbellysisters.blogspot.com/2015/08/everything-bagel-cheese-burger.html',\n",
              "   'readyInMinutes': 45},\n",
              "  {'title': 'Blue Cheese Burgers',\n",
              "   'url': 'https://www.foodista.com/recipe/ZVXPQHB5/blue-cheese-burgers',\n",
              "   'readyInMinutes': 45}]}"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def run_planner(user_query: str):\n",
        "    client = OpenAI(\n",
        "        base_url=\"https://openrouter.ai/api/v1\",\n",
        "        api_key=userdata.get('OPENROUTER_API_KEY'),\n",
        "    )\n",
        "\n",
        "    chat_history = [{\n",
        "        \"role\": \"system\",\n",
        "        \"content\": \"\"\"\n",
        "        You are a Snack & Stream Planner that suggests perfect food pairings for streaming content.\n",
        "        Make your suggestions fun and creative, following this style:\n",
        "        \"Watching [Show Name]? How about [Creative Snack Name] ([basic recipe]) or [Another Creative Snack] ([basic recipe])!\"\n",
        "\n",
        "        You have access to these tools:\n",
        "        1. StreamSearch: Search for shows/movies on streaming platforms. Returns up to 5 shows ordered by rating.\n",
        "           IMPORTANT SEARCH RULES:\n",
        "           - Use simple search terms without quotes\n",
        "           - For genres, use: action, comedy, horror, drama, romance, thriller\n",
        "           - Don't combine terms like \"romantic comedy\" - use \"romance\" or \"comedy\"\n",
        "           - Don't use descriptive terms like \"best\" or \"popular\"\n",
        "\n",
        "           GOOD searches:\n",
        "           - horror\n",
        "           - comedy\n",
        "           - romance\n",
        "\n",
        "           BAD searches:\n",
        "           - \"romantic comedy\"\n",
        "           - \"best horror movies\"\n",
        "           - \"popular shows\"\n",
        "\n",
        "        2. RecipeSearch: Search for recipes using ONLY basic, common food terms.\n",
        "           GOOD recipe searches:\n",
        "           - \"popcorn\"\n",
        "           - \"cookies\"\n",
        "           - \"nachos\"\n",
        "           - \"brownies\"\n",
        "           - \"guacamole\"\n",
        "\n",
        "           BAD recipe searches (will fail):\n",
        "           - \"spooky snacks\" (use \"cookies\" or \"popcorn\" instead)\n",
        "           - \"movie night mix\" (search individual items)\n",
        "           - \"party platter\" (too vague)\n",
        "\n",
        "           Search one recipe at a time and be creative with presentation in the final answer.\n",
        "\n",
        "        Use this format:\n",
        "        Question: the input question you must answer\n",
        "        Thought: you should always think about what to do\n",
        "        Action: the action to take, should be one of [StreamSearch, RecipeSearch]\n",
        "        Action Input: the input to the action (use simple terms without quotes!)\n",
        "        Observation: result of the action\n",
        "        Thought: analyze the results and decide next steps\n",
        "        ...(Thought/Action/Observation can repeat)\n",
        "        Thought: I now know what to suggest!\n",
        "        Final Answer: Format your answer like this:\n",
        "        \"Watching [Show Title] ([Year], [Rating])? How about [Creative Snack Name] (made with [basic recipe]) or [Another Creative Snack] (using [basic recipe])!\"\n",
        "\n",
        "        Example Final Answer:\n",
        "        \"Watching The Conjuring (2013, IMDb: 7.5/10)? How about 'Haunted House Popcorn' (made with caramel popcorn) or 'Ghost Toast' (using garlic bread)!\"\n",
        "        \"\"\"\n",
        "    }, {\n",
        "        \"role\": \"user\",\n",
        "        \"content\": f\"Question: {user_query}\"\n",
        "    }]\n",
        "\n",
        "    print(\"\\n=== Starting Snack & Stream Planner ===\")\n",
        "    print(f\"Input Query: {user_query}\")\n",
        "\n",
        "    # Store recommended shows and recipes for final display\n",
        "    recommended_shows = []\n",
        "    recommended_recipes = []\n",
        "\n",
        "    while True:\n",
        "        print(\"\\n=== Calling LLM API ===\")\n",
        "        completion = client.chat.completions.create(\n",
        "            model=\"meta-llama/llama-3.2-90b-vision-instruct:free\",\n",
        "            messages=chat_history,\n",
        "            stop=[\"Observation:\"]\n",
        "        )\n",
        "\n",
        "        response_text = completion.choices[0].message.content\n",
        "        print(\"\\n=== LLM Response ===\")\n",
        "        print(response_text)\n",
        "\n",
        "        action, action_input = extract_action_and_input(response_text)\n",
        "        print(\"\\n=== Extracted Action ===\")\n",
        "        print(f\"Action: {action}\")\n",
        "        print(f\"Action Input: {action_input}\")\n",
        "\n",
        "        if not action:\n",
        "            print(\"\\n=== No Valid Action Found ===\")\n",
        "            print(\"Suggesting based on thought process.\")\n",
        "            break\n",
        "\n",
        "        if action == \"StreamSearch\":\n",
        "            print(\"\\n=== Calling StreamSearch API ===\")\n",
        "            result = unogs_search(action_input)\n",
        "            if \"shows\" in result:\n",
        "                print(f\"Found {len(result['shows'])} shows:\")\n",
        "                for i, show in enumerate(result['shows'], 1):\n",
        "                    print(f\"\\n{i}. {show['title']} ({show['year']}) - Rating: {show['rating']}\")\n",
        "                    print(f\"Description: {show['description'][:100]}...\")\n",
        "                    recommended_shows.extend(result['shows'])  # Store shows for later\n",
        "            else:\n",
        "                print(\"StreamSearch Result:\", result)\n",
        "        elif action == \"RecipeSearch\":\n",
        "            print(\"\\n=== Calling RecipeSearch API ===\")\n",
        "            result = get_recipe_suggestions(action_input)\n",
        "            if \"recipes\" in result:\n",
        "                print(f\"Found {len(result['recipes'])} recipes:\")\n",
        "                for i, recipe in enumerate(result['recipes'], 1):\n",
        "                    print(f\"\\n{i}. {recipe['title']} (Prep time: {recipe['readyInMinutes']} mins)\")\n",
        "                    recommended_recipes.extend(result['recipes'])  # Store recipes for later\n",
        "            else:\n",
        "                print(\"RecipeSearch Result:\", result)\n",
        "        else:\n",
        "            print(\"\\n=== Invalid Action Detected ===\")\n",
        "            break\n",
        "\n",
        "        print(\"\\n=== Updating Chat History ===\")\n",
        "        chat_history.extend([\n",
        "            {\"role\": \"assistant\", \"content\": response_text},\n",
        "            {\"role\": \"user\", \"content\": f\"Observation: {result}\"}\n",
        "        ])\n",
        "        print(\"Chat History Length:\", len(chat_history))\n",
        "\n",
        "    print(\"\\n=== Final Response ===\")\n",
        "    print(response_text)\n",
        "\n",
        "    # Extract show titles from final answer\n",
        "    final_answer = response_text.split(\"Final Answer:\")[-1].strip()\n",
        "\n",
        "    # Display only the shows mentioned in final answer\n",
        "    print(\"\\n=== Your Personalized Streaming & Snack Suggestion ===\")\n",
        "\n",
        "    # Use a set to track shown items\n",
        "    shown_shows = set()\n",
        "\n",
        "    for show in recommended_shows:\n",
        "        # Check if this show's title appears in the final answer and hasn't been shown yet\n",
        "        if show['title'].lower() in final_answer.lower() and show['title'] not in shown_shows:\n",
        "            shown_shows.add(show['title'])\n",
        "            print(\"\\n\" + \"=\"*50)\n",
        "            print(f\"📺 {show['title']} ({show['year']})\")\n",
        "            print(f\"⭐ {show['rating']}\")\n",
        "            print(f\"⏱️ {show['runtime']}\")\n",
        "            print(f\"📝 {show['description']}\")\n",
        "            print(f\"🔗 Watch here: {show['watch_url']}\")\n",
        "            print(\"=\"*50)\n",
        "\n",
        "            # Display show image if available\n",
        "            if show.get('image_url'):\n",
        "                try:\n",
        "                    display(Image(url=show['image_url']))\n",
        "                except Exception as e:\n",
        "                    print(f\"Could not load image: {e}\")\n",
        "\n",
        "    # Use a set for recipes too\n",
        "    shown_recipes = set()\n",
        "    for recipe in recommended_recipes:\n",
        "        if recipe['title'].lower() in final_answer.lower() and recipe['title'] not in shown_recipes:\n",
        "            shown_recipes.add(recipe['title'])\n",
        "            print(f\"\\n🍳 {recipe['title']}\")\n",
        "            print(f\"⏱️ Preparation time: {recipe['readyInMinutes']} minutes\")\n",
        "            if recipe.get('url'):\n",
        "                display(HTML(f'<a href=\"{recipe[\"url\"]}\" target=\"_blank\">👩‍🍳 View Full Recipe</a>'))\n",
        "\n",
        "    return response_text"
      ],
      "metadata": {
        "id": "ycBGIkJD1qaa"
      },
      "execution_count": 72,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "query = \"I want to watch something scary with appropriate snacks\"\n",
        "result = run_planner(query)\n",
        "print(\"\\nResult:\", result)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "pGIuBKCkp9St",
        "outputId": "60606587-4dbe-4f59-fce1-5186da82229b"
      },
      "execution_count": 70,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "=== Starting Snack & Stream Planner ===\n",
            "Input Query: I want to watch something scary with appropriate snacks\n",
            "\n",
            "=== Calling LLM API ===\n",
            "\n",
            "=== LLM Response ===\n",
            "Thought: To find a scary show/movie and pair it with fitting snacks, I should start by searching for a streaming title. Since the query is quite broad, I'll analyze the search results to pick a title.\n",
            "\n",
            "Action: StreamSearch\n",
            "Action Input: horror\n",
            "\n",
            "\n",
            "\n",
            "=== Extracted Action ===\n",
            "Action: StreamSearch\n",
            "Action Input: horror\n",
            "\n",
            "=== Calling StreamSearch API ===\n",
            "Found 5 shows:\n",
            "\n",
            "1. Hogwood: A Modern Horror Story (2020) - Rating: IMDb: 8.3/10\n",
            "Description: Exposing the jarring conditions inside one of Britain&#39;s largest pig farms, an activist group cal...\n",
            "\n",
            "2. Circus of Horrors (1960) - Rating: IMDb: 6.1/10\n",
            "Description: After mutilating a patient, a plastic surgeon is booted from the medical profession and goes into hi...\n",
            "\n",
            "3. Horrors of the Black Museum (1959) - Rating: IMDb: 5.9/10\n",
            "Description: In order to gather material for his stories, a twisted mystery writer hypnotizes his assistant and o...\n",
            "\n",
            "4. The Horror of Frankenstein (1970) - Rating: IMDb: 5.8/10\n",
            "Description: In this Hammer horror-comedy hybrid, a ruthless Victor Frankenstein will stop at nothing in his work...\n",
            "\n",
            "5. Two Sentence Horror Stories (2019) - Rating: IMDb: 5.5/10\n",
            "Description: This anthology series of terror features diverse characters facing primal fears in spine-chilling si...\n",
            "\n",
            "=== Updating Chat History ===\n",
            "Chat History Length: 4\n",
            "\n",
            "=== Calling LLM API ===\n",
            "\n",
            "=== LLM Response ===\n",
            "Thought: I've received multiple results for horror streaming titles. To pick the best option, I'll consider factors such as rating, relevance, recent release year, and content type. \n",
            "\n",
            "Observation Analysis:\n",
            "- Hogwood: A Modern Horror Story has the highest IMDb rating (8.3) and is a relatively recent release (2020), but it's classified as a documentary, not typical horror. \n",
            "- Circus of Horrors and The Horror of Frankenstein are older films with relatively low IMDb ratings (6.1 and 5.8, respectively). \n",
            "- Horrors of the Black Museum has a similar low rating (5.9) and is also an old film. \n",
            "- Two Sentence Horror Stories has a low rating (5.5) but is a relatively recent release (2019) and fits the typical horror genre.\n",
            "\n",
            "Considering the options, I will choose Hogwood: A Modern Horror Story and Two Sentence Horror Stories as the best options to further investigate.\n",
            "\n",
            "Action: RecipeSearch\n",
            "Action Input: popcorn\n",
            "\n",
            "=== Extracted Action ===\n",
            "Action: RecipeSearch\n",
            "Action Input: popcorn\n",
            "\n",
            "=== Calling RecipeSearch API ===\n",
            "Found 2 recipes:\n",
            "\n",
            "1. Popcorn Ice Cream (Prep time: 45 mins)\n",
            "\n",
            "2. Chocolate Popcorn (Prep time: 45 mins)\n",
            "\n",
            "=== Updating Chat History ===\n",
            "Chat History Length: 6\n",
            "\n",
            "=== Calling LLM API ===\n",
            "\n",
            "=== LLM Response ===\n",
            "Thought: The search results show two popcorn recipes, but I'm looking for a more classic, straightforward popcorn option to pair with a scary show.\n",
            "\n",
            "Action: RecipeSearch\n",
            "Action Input: caramel popcorn\n",
            "\n",
            "=== Extracted Action ===\n",
            "Action: RecipeSearch\n",
            "Action Input: caramel popcorn\n",
            "\n",
            "=== Calling RecipeSearch API ===\n",
            "Found 1 recipes:\n",
            "\n",
            "1. Apple-Infused Caramel Corn (Prep time: 45 mins)\n",
            "\n",
            "=== Updating Chat History ===\n",
            "Chat History Length: 8\n",
            "\n",
            "=== Calling LLM API ===\n",
            "\n",
            "=== LLM Response ===\n",
            "Thought: The search results show an Apple-Infused Caramel Corn recipe, but I'd prefer a simpler Caramel Popcorn option. I'll try another search.\n",
            "\n",
            "Action: RecipeSearch\n",
            "Action Input: caramel corn\n",
            "\n",
            "=== Extracted Action ===\n",
            "Action: RecipeSearch\n",
            "Action Input: caramel corn\n",
            "\n",
            "=== Calling RecipeSearch API ===\n",
            "Found 2 recipes:\n",
            "\n",
            "1. Apple-Infused Caramel Corn (Prep time: 45 mins)\n",
            "\n",
            "2. Caramel Macchiato Cake (Prep time: 180 mins)\n",
            "\n",
            "=== Updating Chat History ===\n",
            "Chat History Length: 10\n",
            "\n",
            "=== Calling LLM API ===\n",
            "\n",
            "=== LLM Response ===\n",
            "Thought: It seems like I still can't get a straightforward Caramel Corn recipe. I'll consider the previous Apple-Infused Caramel Corn recipe for my snack suggestion.\n",
            "\n",
            "Action: RecipeSearch\n",
            "Action Input: cookies\n",
            "\n",
            "=== Extracted Action ===\n",
            "Action: RecipeSearch\n",
            "Action Input: cookies\n",
            "\n",
            "=== Calling RecipeSearch API ===\n",
            "Found 2 recipes:\n",
            "\n",
            "1. Oreo Mini Cheesecake (Prep time: 45 mins)\n",
            "\n",
            "2. Pistachio Milk Chocolate Chip Cookies (Prep time: 45 mins)\n",
            "\n",
            "=== Updating Chat History ===\n",
            "Chat History Length: 12\n",
            "\n",
            "=== Calling LLM API ===\n",
            "\n",
            "=== LLM Response ===\n",
            "Thought: I've received a search result for Pistachio Milk Chocolate Chip Cookies, which I can use as a fitting snack for a scary show. With the Apple-Infused Caramel Corn and Pistachio Milk Chocolate Chip Cookies, I now have two creative snack options to pair with a scary show.\n",
            "\n",
            "Thought: I now know what to suggest. \n",
            "\n",
            "Final Answer: \"Watching Hogwood: A Modern Horror Story (2020, IMDb: 8.3/10) or Two Sentence Horror Stories (2019, IMDb: 5.5/10)? How about 'Horror Flicks Caramel Crunch' (made with apple-infused caramel corn) or 'Scary Movie Bites' (using pistachio milk chocolate chip cookies)!\"\n",
            "\n",
            "=== Extracted Action ===\n",
            "Action: None\n",
            "Action Input: None\n",
            "\n",
            "=== No Valid Action Found ===\n",
            "Suggesting based on thought process.\n",
            "\n",
            "=== Final Response ===\n",
            "Thought: I've received a search result for Pistachio Milk Chocolate Chip Cookies, which I can use as a fitting snack for a scary show. With the Apple-Infused Caramel Corn and Pistachio Milk Chocolate Chip Cookies, I now have two creative snack options to pair with a scary show.\n",
            "\n",
            "Thought: I now know what to suggest. \n",
            "\n",
            "Final Answer: \"Watching Hogwood: A Modern Horror Story (2020, IMDb: 8.3/10) or Two Sentence Horror Stories (2019, IMDb: 5.5/10)? How about 'Horror Flicks Caramel Crunch' (made with apple-infused caramel corn) or 'Scary Movie Bites' (using pistachio milk chocolate chip cookies)!\"\n",
            "\n",
            "=== Your Personalized Streaming & Snack Suggestion ===\n",
            "\n",
            "==================================================\n",
            "📺 Hogwood: A Modern Horror Story (2020)\n",
            "⭐ IMDb: 8.3/10\n",
            "⏱️ 34m\n",
            "📝 Exposing the jarring conditions inside one of Britain&#39;s largest pig farms, an activist group calls on the power players in animal agriculture for change.\n",
            "🔗 Watch here: https://www.netflix.com/title/81471131\n",
            "==================================================\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<img src=\"https://occ-0-7126-1490.1.nflxso.net/dnm/api/v6/oQyw8Fv9eE41UPapt7zHvdUdzrE/AAAABWlc057PeP3r37J9ZnOLXLPyhTYRTm3LMza_5gPqyDzTkcXGExwF4mAK2HgnBA3lbiHNbq60WXBR4oCXSlLl9shUEz3jT9rjmg.jpg?r=060\"/>"
            ],
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "==================================================\n",
            "📺 Two Sentence Horror Stories (2019)\n",
            "⭐ IMDb: 5.5/10\n",
            "⏱️ Unknown duration\n",
            "📝 This anthology series of terror features diverse characters facing primal fears in spine-chilling situations that stretch past daily routine.\n",
            "🔗 Watch here: https://www.netflix.com/title/80244627\n",
            "==================================================\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<img src=\"https://occ-0-2219-2218.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABXaWMLngdTdhMlLJNugnbPLL0JMTErZy5DM5FkFm4dhBcc4y9cfcAYcQ_eiz0RPSguyN7IoywdIIFj90eCOmdLyQZg.jpg?r=54d\"/>"
            ],
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "🍳 Apple-Infused Caramel Corn\n",
            "⏱️ Preparation time: 45 minutes\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<a href=\"https://www.foodista.com/recipe/MD5QW5Y6/apple-infused-caramel-corn\" target=\"_blank\">👩‍🍳 View Full Recipe</a>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "🍳 Pistachio Milk Chocolate Chip Cookies\n",
            "⏱️ Preparation time: 45 minutes\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<a href=\"http://www.foodista.com/recipe/XVD76PG7/pistachio-milk-chocolate-chip-cookies\" target=\"_blank\">👩‍🍳 View Full Recipe</a>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Result: Thought: I've received a search result for Pistachio Milk Chocolate Chip Cookies, which I can use as a fitting snack for a scary show. With the Apple-Infused Caramel Corn and Pistachio Milk Chocolate Chip Cookies, I now have two creative snack options to pair with a scary show.\n",
            "\n",
            "Thought: I now know what to suggest. \n",
            "\n",
            "Final Answer: \"Watching Hogwood: A Modern Horror Story (2020, IMDb: 8.3/10) or Two Sentence Horror Stories (2019, IMDb: 5.5/10)? How about 'Horror Flicks Caramel Crunch' (made with apple-infused caramel corn) or 'Scary Movie Bites' (using pistachio milk chocolate chip cookies)!\"\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "query = \"Suggest a romantic comedy and date night snacks\"\n",
        "result = run_planner(query)\n",
        "print(\"\\nResult:\", result)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "9C4KgypIt282",
        "outputId": "9ac31628-41c5-4c41-e691-7e0c2280d8a5"
      },
      "execution_count": 73,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "=== Starting Snack & Stream Planner ===\n",
            "Input Query: Suggest a romantic comedy and date night snacks\n",
            "\n",
            "=== Calling LLM API ===\n",
            "\n",
            "=== LLM Response ===\n",
            "Thought: To suggest a romantic comedy and date night snacks, I first need to find a popular romantic comedy.\n",
            "\n",
            "Action: StreamSearch\n",
            "Action Input: romance\n",
            "\n",
            "\n",
            "\n",
            "=== Extracted Action ===\n",
            "Action: StreamSearch\n",
            "Action Input: romance\n",
            "\n",
            "=== Calling StreamSearch API ===\n",
            "Found 5 shows:\n",
            "\n",
            "1. Romance is a bonus book (2019) - Rating: IMDb: 8.1/10\n",
            "Description: A gifted writer who&#39;s the youngest editor-in-chief ever at his publishing company gets enmeshed ...\n",
            "\n",
            "2. The Romance of Tiger and Rose (2020) - Rating: IMDb: 7.9/10\n",
            "Description: When a screenwriter wakes up as a princess in the historical drama she&#39;s penning, she must maneu...\n",
            "\n",
            "3. Delicious Romance (2023) - Rating: IMDb: 7.9/10\n",
            "Description: In a bustling city, three close friends try to navigate their career and relationships as a series o...\n",
            "\n",
            "4. A Moment of Romance (1990) - Rating: IMDb: 7.4/10\n",
            "Description: After a botched heist, a getaway driver and hostage fall for each other — but there&#39;s a price to...\n",
            "\n",
            "5. Romance in Style (2022) - Rating: IMDb: 7.2/10\n",
            "Description: An aspiring fashion designer finds love as she helps a young media mogul reform his magazine to be m...\n",
            "\n",
            "=== Updating Chat History ===\n",
            "Chat History Length: 4\n",
            "\n",
            "=== Calling LLM API ===\n",
            "\n",
            "=== LLM Response ===\n",
            "Thought: I found several romantic comedies, but I need a specific title to suggest date night snacks. I'll go with the first title, 'Romance is a bonus book', since it has the highest IMDb rating.\n",
            "\n",
            "Thought: Now, I need to find a snack that's perfect for a date night. I'll search for a romantic dessert recipe.\n",
            "\n",
            "Action: RecipeSearch\n",
            "Action Input: chocolate truffles\n",
            "\n",
            "=== Extracted Action ===\n",
            "Action: RecipeSearch\n",
            "Action Input: chocolate truffles\n",
            "\n",
            "=== Calling RecipeSearch API ===\n",
            "Found 2 recipes:\n",
            "\n",
            "1. Dairy Free Chocolate Truffles (Prep time: 45 mins)\n",
            "\n",
            "2. Walnut Dark Chocolate Truffles (Prep time: 30 mins)\n",
            "\n",
            "=== Updating Chat History ===\n",
            "Chat History Length: 6\n",
            "\n",
            "=== Calling LLM API ===\n",
            "\n",
            "=== LLM Response ===\n",
            "Thought: I found two recipes for chocolate truffles. This is a great dessert for a date night, so I'll use this as my snack suggestion.\n",
            "\n",
            "Thought: Now that I have a show title and a snack idea, I can create a final response.\n",
            "\n",
            "Final Answer: Watching Romance is a bonus book (2019, IMDb: 8.1/10)? How about 'Love Story Truffles' (made with dairy free chocolate truffles) or 'Sweetheart Bites' (using walnut dark chocolate truffles)!\n",
            "\n",
            "=== Extracted Action ===\n",
            "Action: None\n",
            "Action Input: None\n",
            "\n",
            "=== No Valid Action Found ===\n",
            "Suggesting based on thought process.\n",
            "\n",
            "=== Final Response ===\n",
            "Thought: I found two recipes for chocolate truffles. This is a great dessert for a date night, so I'll use this as my snack suggestion.\n",
            "\n",
            "Thought: Now that I have a show title and a snack idea, I can create a final response.\n",
            "\n",
            "Final Answer: Watching Romance is a bonus book (2019, IMDb: 8.1/10)? How about 'Love Story Truffles' (made with dairy free chocolate truffles) or 'Sweetheart Bites' (using walnut dark chocolate truffles)!\n",
            "\n",
            "=== Your Personalized Streaming & Snack Suggestion ===\n",
            "\n",
            "==================================================\n",
            "📺 Romance is a bonus book (2019)\n",
            "⭐ IMDb: 8.1/10\n",
            "⏱️ Unknown duration\n",
            "📝 A gifted writer who&#39;s the youngest editor-in-chief ever at his publishing company gets enmeshed in the life of a former copywriter desperate for a job.\n",
            "🔗 Watch here: https://www.netflix.com/title/81045349\n",
            "==================================================\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<img src=\"https://occ-0-2851-38.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABR-Xc35rLzWPfwILMlIMv_XdqKSwltYD7G2ihQW9FKYZrjJhFpAc4vHbwfS77aZn4Nm6Tg1LcutgFzJlB7jN6RWQTYiQvJjg2C10t6s_kgnUZBf8fg3XPFlmXRk.jpg?r=d2f\"/>"
            ],
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "🍳 Dairy Free Chocolate Truffles\n",
            "⏱️ Preparation time: 45 minutes\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<a href=\"https://www.foodista.com/recipe/68S55Y7J/dairy-free-chocolate-truffles\" target=\"_blank\">👩‍🍳 View Full Recipe</a>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "🍳 Walnut Dark Chocolate Truffles\n",
            "⏱️ Preparation time: 30 minutes\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<a href=\"https://www.foodista.com/recipe/HXQDLSM4/walnut-dark-chocolate-truffles\" target=\"_blank\">👩‍🍳 View Full Recipe</a>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Result: Thought: I found two recipes for chocolate truffles. This is a great dessert for a date night, so I'll use this as my snack suggestion.\n",
            "\n",
            "Thought: Now that I have a show title and a snack idea, I can create a final response.\n",
            "\n",
            "Final Answer: Watching Romance is a bonus book (2019, IMDb: 8.1/10)? How about 'Love Story Truffles' (made with dairy free chocolate truffles) or 'Sweetheart Bites' (using walnut dark chocolate truffles)!\n"
          ]
        }
      ]
    }
  ]
}