honeypolygon/lab1 solution

1_foundations/1_lab1.ipynb

@@ -90,7 +90,6 @@
    "outputs": [],
    "source": [
     "# First let's do an import. If you get an Import Error, double check that your Kernel is correct..\n",
-    "\n",
     "from dotenv import load_dotenv\n"
    ]
   },
@@ -324,15 +323,44 @@
    "source": [
     "# First create the messages:\n",
     "\n",
-    "messages = [{\"role\": \"user\", \"content\": \"Something here\"}]\n",
+    "messages = [{\"role\": \"user\", \"content\": \"AIエージェントが最も活躍しそうなビジネス分野を１つだけ教えてください.\"}]\n",
     "\n",
     "# Then make the first call:\n",
     "\n",
-    "response =\n",
+    "question = openai.chat.completions.create(\n",
+    "    model=\"gpt-4.1-mini\",\n",
+    "    messages=messages\n",
+    ")\n",
+    "\n",
+    "answer = question.choices[0].message.content\n",
+    "\n",
+    "print(answer)\n",
+    "\n",
+    "\n",
+    "messages = [{\"role\": \"user\", \"content\": f\"{answer}での課題はなんですか？\"}]\n",
+    "\n",
+    "\n",
+    "question = openai.chat.completions.create(\n",
+    "    model =\"gpt-4.1-mini\",\n",
+    "    messages=messages\n",
+    ")\n",
+    "\n",
+    "reply = question.choices[0].message.content\n",
+    "\n",
+    "print(reply)\n",
     "\n",
     "# Then read the business idea:\n",
     "\n",
-    "business_idea = response.\n",
+    "messages = [{\"role\": \"user\", \"content\": f\"{reply}に対してAIエージェントでのソリューションを提案してください。\"}]\n",
+    "\n",
+    "response = openai.chat.completions.create(\n",
+    "    model=\"gpt-4.1-mini\",\n",
+    "    messages=messages\n",
+    ")\n",
+    "\n",
+    "business_idea = response.choices[0].message.content\n",
+    "\n",
+    "print(business_idea)\n",
     "\n",
     "# And repeat! In the next message, include the business idea within the message"
    ]
@@ -359,7 +387,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.9"
+   "version": "3.12.0"
   }
  },
  "nbformat": 4,

1_foundations/2_lab2.ipynb

@@ -29,15 +29,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "# Start with imports - ask ChatGPT to explain any package that you don't know\n",
     "\n",
     "import os\n",
     "import json\n",
-    "from dotenv import load_dotenv\n",
+    "from dotenv import load_dotenvs\n",
     "from openai import OpenAI\n",
     "from anthropic import Anthropic\n",
     "from IPython.display import Markdown, display"
@@ -55,9 +55,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "OpenAI API Key exists and begins sk-proj-\n",
+      "Anthropic API Key not set (and this is optional)\n",
+      "Google API Key not set (and this is optional)\n",
+      "DeepSeek API Key not set (and this is optional)\n",
+      "Groq API Key not set (and this is optional)\n"
+     ]
+    }
+   ],
    "source": [
     "# Print the key prefixes to help with any debugging\n",
     "\n",
@@ -466,7 +478,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.9"
+   "version": "3.12.0"
   }
  },
  "nbformat": 4,