fix(registry,notebooks): remove deprecated mixtral model from providers.json and update notebook interactive parameters

Author: DYung26

notebooks/01-testing-explanations.ipynb

@@ -32,7 +32,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\u2705 Libraries imported successfully\n"
+      "✅ Libraries imported successfully\n"
      ]
     }
    ],
@@ -45,7 +45,7 @@
     "# Load environment variables from .env file\n",
     "load_dotenv()\n",
     "\n",
-    "print(\"\u2705 Libraries imported successfully\")"
+    "print(\"✅ Libraries imported successfully\")"
    ]
   },
   {
@@ -74,7 +74,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\u2705 Test plot created\n"
+      "✅ Test plot created\n"
      ]
     }
    ],
@@ -91,7 +91,7 @@
     "plt.tight_layout()\n",
     "plt.show()\n",
     "\n",
-    "print(\"\u2705 Test plot created\")"
+    "print(\"✅ Test plot created\")"
    ]
   },
   {
@@ -146,19 +146,47 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\u2705 GROQ_DEFAULT API key validated successfully.\n",
-      "\u2705 GROQ_OPENAI API key validated successfully.\n",
-      "\u2705 Explanation generated:\n",
-      "\n",
-      "Error: Groq query failed: Error code: 400 - {'error': {'message': 'The model `mixtral-8x7b-32768` has been decommissioned and is no longer supported. Please refer to https://console.groq.com/docs/deprecations for a recommendation on which model to use instead.', 'type': 'invalid_request_error', 'code': 'model_decommissioned'}}\n"
+      "⚙️  OPENAI API key not found.\n",
+      "🔗  Get it at 👉 https://platform.openai.com/api-keys 👈\n"
      ]
     },
     {
-     "name": "stderr",
+     "name": "stdin",
      "output_type": "stream",
      "text": [
-      "/home/dyung/Projects/PlotKit/plotsense/core/ai_interface.py:251: UserWarning: [AIModelInterface] Querying error for groq_default:mixtral-8x7b-32768 -> Groq query failed: Error code: 400 - {'error': {'message': 'The model `mixtral-8x7b-32768` has been decommissioned and is no longer supported. Please refer to https://console.groq.com/docs/deprecations for a recommendation on which model to use instead.', 'type': 'invalid_request_error', 'code': 'model_decommissioned'}}\n",
-      "  warnings.warn(f\"[AIModelInterface] Querying error for {provider}:{model} -> {str(e)}\")\n"
+      "Enter OPENAI API key:  ········\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "✅ OPENAI_CHAT API key validated successfully.\n",
+      "✅ OPENAI_RESPONSE API key validated successfully.\n",
+      "✅ Explanation generated:\n",
+      "\n",
+      "# Data Visualization Analysis\n",
+      "\n",
+      "## 1. Overview\n",
+      "The provided plot is a simple linear graph illustrating a perfect positive correlation between two variables, A and B, where an increase in A corresponds to a proportional increase in B.\n",
+      "\n",
+      "## 2. Key Features\n",
+      "- **Title:** Simple Linear Plot\n",
+      "- **Axes:**\n",
+      "  - **X Axis:** Ranges from 1 to 5, representing variable A.\n",
+      "  - **Y Axis:** Ranges from 2 to 10, representing variable B.\n",
+      "- **Data Points:** The plot features five data points: (1, 2), (2, 4), (3, 6), (4, 8), and (5, 10), each marked with a blue circle.\n",
+      "- **Linearity:** Data points are connected by a straight line, confirming a linear relationship.\n",
+      "- **Legend:** The legend identifies the series as \"Data,\" representing the observed pairs of (A, B).\n",
+      "\n",
+      "## 3. Insights and Patterns\n",
+      "- **Positive Correlation:** The linear trend demonstrates that as A increases from 1 to 5, B increases from 2 to 10, affirming a strong positive correlation.\n",
+      "- **Slope Calculation:** The slope of the line is 2, indicating that for every unit increase in A, B increases by 2 units, showcasing a consistent relationship.\n",
+      "- **Statistical Significance:** An R-squared value of 1.0 indicates a perfect fit, suggesting the model explains all the variability in B based on A.\n",
+      "- **Data Distribution:** The evenly spaced points and absence of outliers further reinforce the linearity of the relationship, indicating a consistent rate of change.\n",
+      "\n",
+      "## 4. Conclusion\n",
+      "This simple linear plot effectively illustrates a strong, quantifiable positive relationship between variables A and B, with significant implications for predictive modeling and decision-making. Understanding this correlation can inform further exploration into the underlying factors that may influence this relationship, while also considering the limitations of linear assumptions in broader contexts.\n"
      ]
     }
    ],
@@ -169,13 +197,13 @@
     "        prompt=\"Explain this plot in one sentence.\",\n",
     "        api_keys=api_keys,\n",
     "        selected_models=[(\"openai\", \"gpt-4o-mini\")],\n",
-    "        interactive=len(api_keys) == 0,\n",
+    "        interactive=True, # len(api_keys) == 0,\n",
     "        timeout=30\n",
     "    )\n",
-    "    print(\"\u2705 Explanation generated:\")\n",
+    "    print(\"✅ Explanation generated:\")\n",
     "    print(f\"\\n{result}\")\n",
     "except ValueError as e:\n",
-    "    print(f\"\u274c Error: {e}\")"
+    "    print(f\"❌ Error: {e}\")"
    ]
   },
   {
@@ -200,10 +228,10 @@
     "        interactive=len(api_keys) == 0,\n",
     "        timeout=30\n",
     "    )\n",
-    "    print(\"\u2705 OpenAI explanation generated:\")\n",
+    "    print(\"✅ OpenAI explanation generated:\")\n",
     "    print(f\"\\n{result}\")\n",
     "except ValueError as e:\n",
-    "    print(f\"\u274c Error: {e}\")"
+    "    print(f\"❌ Error: {e}\")"
    ]
   },
   {
@@ -215,23 +243,74 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "✅ Groq explanation generated:\n",
+      "\n",
+      "# Refined Explanation of the Plot\n",
+      "\n",
+      "## Overview\n",
+      "The plot depicts a perfect linear correlation between two variables, with the X-axis representing values from 1 to 5 and the Y-axis ranging from 2 to 10. The data points are connected by a straight line, indicating a direct and proportional relationship between the variables.\n",
+      "\n",
+      "## Key Features\n",
+      "- **Axes**:\n",
+      "  - **X Axis**: Values range from 1 to 5.\n",
+      "  - **Y Axis**: Values range from 2 to 10.\n",
+      "  \n",
+      "- **Data Points**: \n",
+      "  - Five distinct data points represented by blue circles at the coordinates: \n",
+      "    - (1, 2)\n",
+      "    - (2, 4)\n",
+      "    - (3, 6)\n",
+      "    - (4, 8)\n",
+      "    - (5, 10)\n",
+      "  - The even spacing of the points reinforces the consistency and reliability of the linear relationship.\n",
+      "\n",
+      "- **Trend Line**: \n",
+      "  - A straight line connecting the data points visually indicates a strong upward trend, reflecting the positive correlation.\n",
+      "\n",
+      "- **Legend**: \n",
+      "  - The legend labels the data series as \"Data,\" enhancing clarity.\n",
+      "\n",
+      "## Insights and Patterns\n",
+      "- **Linear Relationship**: \n",
+      "  - The data exhibits a perfect positive correlation, quantified by a correlation coefficient of 1. This means that as X increases, Y increases predictably. \n",
+      "\n",
+      "- **Slope Calculation**: \n",
+      "  - The slope of the line is calculated as \\(\\Delta Y / \\Delta X = (10 - 2) / (5 - 1) = 8 / 4 = 2\\). This indicates that for each unit increase in X, Y increases by 2 units, demonstrating a consistent rate of change.\n",
+      "\n",
+      "- **Y-Intercept**: \n",
+      "  - The extrapolated Y-intercept is at (0, 0). This suggests that when X equals 0, Y would also theoretically equal 0, indicating that the model can be used for predictive purposes across various scenarios.\n",
+      "\n",
+      "- **Even Spacing Implications**: \n",
+      "  - The uniform distribution of data points reinforces the linear relationship, suggesting that the correlation is not only strong but also reliable across the observed range.\n",
+      "\n",
+      "## Conclusion\n",
+      "The linear plot effectively visualizes the direct and proportional relationship between the two variables. The consistent increase in Y values corresponding to X underscores the utility of linear functions in predictive modeling. This model holds relevance in numerous fields, including economics, physics, and social sciences, where linear relationships often approximate real-world phenomena. \n",
+      "\n",
+      "However, it is important to recognize the limitations of linear models, such as their inability to account for non-linear relationships. Future work could involve evaluating the model's performance with real-world data to enhance its practical significance and encourage deeper analysis of trends and their implications. By considering the potential for outliers or variations that might disrupt linearity, a more nuanced understanding of the model's applicability can be achieved.\n"
+     ]
+    }
+   ],
    "source": [
     "try:\n",
     "    result = explainer(\n",
     "        fig,\n",
     "        prompt=\"Describe this plot briefly.\",\n",
     "        api_keys=api_keys,\n",
     "        selected_models=[(\"groq\", \"llama-3.1-8b-instant\")],\n",
-    "        interactive=len(api_keys) == 0,\n",
+    "        interactive=True, #len(api_keys) == 0,\n",
     "        timeout=30\n",
     "    )\n",
-    "    print(\"\u2705 Groq explanation generated:\")\n",
+    "    print(\"✅ Groq explanation generated:\")\n",
     "    print(f\"\\n{result}\")\n",
     "except ValueError as e:\n",
-    "    print(f\"\u274c Error: {e}\")"
+    "    print(f\"❌ Error: {e}\")"
    ]
   },
   {
@@ -256,7 +335,7 @@
     "        interactive=False\n",
     "    )\n",
     "except ValueError as e:\n",
-    "    print(\"\u2705 Error handling works!\")\n",
+    "    print(\"✅ Error handling works!\")\n",
     "    print(f\"\\n{e}\")"
    ]
   },
@@ -277,7 +356,7 @@
     "\n",
     "registry = get_registry_loader()\n",
     "\n",
-    "print(\"\ud83d\udccb AVAILABLE MODELS:\\n\")\n",
+    "print(\"📋 AVAILABLE MODELS:\\n\")\n",
     "\n",
     "print(\"OpenAI (Chat):\")\n",
     "for model in registry.get_provider_models(\"openai\", \"chat\"):\n",
@@ -314,4 +393,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}

notebooks/03-testing-multi-provider.ipynb

@@ -268,7 +268,8 @@
     "        api_keys=api_keys,\n",
     "        selected_models=[(\"openai\", \"gpt-99-invalid\")],\n",
     "        interactive=False\n",
-    "    )\nexcept ValueError as e:\n",
+    "    )\n",
+    "except ValueError as e:\n",
     "    print(\"✅ Error caught (as expected):\")\n",
     "    print(f\"\\n{e}\")\n",
     "    print(f\"\\n📌 Notice: Error shows the exact model that's wrong\")\n",
@@ -300,7 +301,8 @@
     "        api_keys=api_keys,\n",
     "        selected_models=[(\"nonexistent-ai\", \"model-xyz\")],\n",
     "        interactive=False\n",
-    "    )\nexcept ValueError as e:\n",
+    "    )\n",
+    "except ValueError as e:\n",
     "    print(\"✅ Error caught (as expected):\")\n",
     "    print(f\"\\n{e}\")\n",
     "    print(f\"\\n📌 Notice: Error lists all SUPPORTED providers\")"
@@ -391,15 +393,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
   "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
    "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
    "version": "3.13.7"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }

plotsense/data/providers.json

@@ -102,7 +102,6 @@
       "gpt-3.5-turbo": 0.008,
       "llama-3.1-8b-instant": 0.005,
       "llama-3.3-70b-versatile": 0.02,
-      "mixtral-8x7b-32768": 0.015,
       "claude-3-5-sonnet-20241022": 0.02,
       "claude-3-opus-20240229": 0.05,
       "claude-3-haiku-20240307": 0.009,
@@ -125,7 +124,6 @@
       "claude-3-haiku-20240307": 7.0,
       "llama-3.3-70b-versatile": 8.8,
       "llama-3.1-8b-instant": 6.5,
-      "mixtral-8x7b-32768": 7.8,
       "gemini-1.5-pro": 9.3,
       "gemini-1.5-flash": 7.8,
       "gemini-2.0-flash": 8.5,