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    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
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  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# LiteLLM A/B Testing LLMs in production\n",
        "\n",
        "* LiteLLM allows you to use 100+ LLMs as a drop in replacement for `gpt-3.5-turbo`\n",
        "\n",
        "This tutorial walks through how to use LiteLLM to easily A/B Test LLMs in production"
      ],
      "metadata": {
        "id": "ODpmJQ5u4rXI"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Example 1: A/B Test GPT-4 & GPT-3.5\n",
        "\n",
        "# Step 1\n",
        "👉 Get your `id` from here: https://admin.litellm.ai/"
      ],
      "metadata": {
        "id": "YamUetcC5Ke7"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from litellm import completion_with_split_tests\n",
        "import os\n",
        "\n",
        "## set ENV variables\n",
        "os.environ[\"OPENAI_API_KEY\"] = \"\"\n",
        "\n",
        "\n",
        "# define a dict of model id and % of requests for model\n",
        "# see models here: https://docs.litellm.ai/docs/providers\n",
        "split_per_model = {\n",
        "\t\"gpt-4\": 0.3,\n",
        "\t\"gpt-3.5-turbo\": 0.7\n",
        "}\n",
        "\n",
        "messages = [{ \"content\": \"Hello, how are you?\",\"role\": \"user\"}]\n",
        "\n",
        "completion_with_split_tests(messages=messages, use_client=True,\n",
        "   id=\"91fad14a-8c0f-4e99-8eaa-68245435aa80\") # [Optional Set your own ID]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7XGfv0958k70",
        "outputId": "91a069a5-c7d4-4fb0-e345-5ebf383edbbc"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "last_fetched_at: 1693624804.2941535\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<OpenAIObject chat.completion id=chatcmpl-7uBT4QHc8BAoZKkU7JoH4ahmXvu0M at 0x7c2895c9e890> JSON: {\n",
              "  \"id\": \"chatcmpl-7uBT4QHc8BAoZKkU7JoH4ahmXvu0M\",\n",
              "  \"object\": \"chat.completion\",\n",
              "  \"created\": 1693624806,\n",
              "  \"model\": \"gpt-3.5-turbo-0613\",\n",
              "  \"choices\": [\n",
              "    {\n",
              "      \"index\": 0,\n",
              "      \"message\": {\n",
              "        \"role\": \"assistant\",\n",
              "        \"content\": \"Hello! I'm an AI, so I don't have emotions, but I'm here to assist you. How can I help you today?\"\n",
              "      },\n",
              "      \"finish_reason\": \"stop\"\n",
              "    }\n",
              "  ],\n",
              "  \"usage\": {\n",
              "    \"prompt_tokens\": 13,\n",
              "    \"completion_tokens\": 29,\n",
              "    \"total_tokens\": 42\n",
              "  }\n",
              "}"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## A/B Test GPT-4 and Claude-2"
      ],
      "metadata": {
        "id": "Y12cxhZt58v8"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0k6rshtR8i9q",
        "outputId": "31ac9d73-9e35-4697-d1ff-5d51048566f8"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "last_fetched_at: 1693624809.3467667\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<OpenAIObject chat.completion id=chatcmpl-7uBTA6gotsTksvCU7GffJ64ybfHUw at 0x7c28aa288630> JSON: {\n",
              "  \"id\": \"chatcmpl-7uBTA6gotsTksvCU7GffJ64ybfHUw\",\n",
              "  \"object\": \"chat.completion\",\n",
              "  \"created\": 1693624812,\n",
              "  \"model\": \"gpt-4-0613\",\n",
              "  \"choices\": [\n",
              "    {\n",
              "      \"index\": 0,\n",
              "      \"message\": {\n",
              "        \"role\": \"assistant\",\n",
              "        \"content\": \"As an AI, I don't have feelings, but I'm here and ready to assist you. How can I help you today?\"\n",
              "      },\n",
              "      \"finish_reason\": \"stop\"\n",
              "    }\n",
              "  ],\n",
              "  \"usage\": {\n",
              "    \"prompt_tokens\": 13,\n",
              "    \"completion_tokens\": 27,\n",
              "    \"total_tokens\": 40\n",
              "  }\n",
              "}"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ],
      "source": [
        "from litellm import completion_with_split_tests\n",
        "import os\n",
        "\n",
        "## set ENV variables\n",
        "os.environ[\"ANTHROPIC_API_KEY\"] = \"\"\n",
        "\n",
        "# define a dict of model id and % of requests for model\n",
        "split_per_model = {\n",
        "\t\"gpt-4\": 0.3,\n",
        "\t\"claude-2\": 0.7\n",
        "}\n",
        "\n",
        "messages = [{ \"content\": \"Hello, how are you?\",\"role\": \"user\"}]\n",
        "\n",
        "\n",
        "completion_with_split_tests(messages=messages, use_client=True,\n",
        "   id=\"91fad14a-8c0f-4e99-8eaa-68245435aa80\") # [Optional Set your own ID]"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "hzzbsAIp4pnr"
      }
    }
  ]
}