devops_tokens.ipynb

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  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
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  "cells": [
    {
      "cell_type": "code",
      "execution_count": 42,
      "metadata": {
        "id": "qhWEHW51xYfe"
      },
      "outputs": [],
      "source": [
        "# Constants\n",
        "tokens_per_page = 600\n",
        "tokens_per_console_line = 20\n",
        "tokens_per_code_line = 30\n",
        "working_days_per_month = 22\n",
        "llm_input_per_million = 15\n",
        "llm_output_per_million = 60"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Daily tokens\n",
        "docs_out = tokens_per_page * 2\n",
        "docs_in =  tokens_per_page * 40\n",
        "logs_out = 0\n",
        "logs_in = tokens_per_console_line * 5 * 8\n",
        "# scripts, configuration\n",
        "code_out = tokens_per_code_line * 20\n",
        "code_in = code_out * 10\n",
        "# tickets, chats\n",
        "communction_out = 200\n",
        "communction_in = communction_out * 10"
      ],
      "metadata": {
        "id": "TEmQFIv901Z8"
      },
      "execution_count": 43,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "total_in = (docs_in + logs_in + code_in + communction_in) * working_days_per_month\n",
        "f\"Total input: {total_in} tokens per month\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "NSBwxah802ma",
        "outputId": "abfa9f25-2657-45f9-d805-cf8e785aa4c6"
      },
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Total input: 721600 tokens per month'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 44
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "total_out = (docs_out + logs_out + code_out + communction_out) * working_days_per_month\n",
        "f\"Total output: {total_out} tokens per month\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "yn_RX9_-2DXr",
        "outputId": "a2abb065-b0d5-4629-ec34-e786a42a7073"
      },
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Total output: 44000 tokens per month'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cost_per_month = total_in / 1000000 * llm_input_per_million + total_out / 1000000 * llm_output_per_million\n",
        "f\"Total cost: {cost_per_month} usd per month\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "8I-x6tNK2_DZ",
        "outputId": "98ea25c3-3d8e-4317-fc3c-1b0f6d4e9fec"
      },
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Total cost: 13.463999999999999 usd per month'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 46
        }
      ]
    }
  ]
}