{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iFEmsVJI_2BR"
      },
      "source": [
        "# LiteLLM OpenRouter Cookbook"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "cBlUhCEP_xj4"
      },
      "outputs": [],
      "source": [
        "!pip install litellm"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "id": "p-MQqWOT_1a7"
      },
      "outputs": [],
      "source": [
        "import os\n",
        "\n",
        "os.environ['OPENROUTER_API_KEY'] = \"\""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ze8JqMqWAARO",
        "outputId": "64f3e836-69fa-4f8e-fb35-088a913bbe98"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<OpenAIObject id=gen-W8FTMSIEorCp3vG5iYIgNMR4IeBv at 0x7c3dcef1f060> JSON: {\n",
              "  \"id\": \"gen-W8FTMSIEorCp3vG5iYIgNMR4IeBv\",\n",
              "  \"model\": \"chat-bison@001\",\n",
              "  \"choices\": [\n",
              "    {\n",
              "      \"message\": {\n",
              "        \"role\": \"assistant\",\n",
              "        \"content\": \"```\\n#include <stdio.h>\\n\\nint main() {\\n  printf(\\\"Hi!\\\\n\\\");\\n  return 0;\\n}\\n```\"\n",
              "      }\n",
              "    }\n",
              "  ],\n",
              "  \"response_ms\": 7817.777999999999\n",
              "}"
            ]
          },
          "execution_count": 11,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from litellm import completion\n",
        "response = completion(\n",
        "            model=\"openrouter/google/palm-2-chat-bison\",\n",
        "            messages=[{\"role\": \"user\", \"content\": \"write code for saying hi\"}]\n",
        ")\n",
        "response"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-LnhELrnAM_J",
        "outputId": "d51c7ab7-d761-4bd1-f849-1534d9df4cd0"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<OpenAIObject id=gen-IiuV7ZNimDufVeutBHrl8ajPuzEh at 0x7c3dcea67560> JSON: {\n",
              "  \"choices\": [\n",
              "    {\n",
              "      \"message\": {\n",
              "        \"role\": \"assistant\",\n",
              "        \"content\": \" Here is some simple code to print \\\"Hi\\\":\\n\\n```python\\nprint(\\\"Hi\\\")\\n```\\n\\nThis uses the print() function in Python to output the text \\\"Hi\\\".\"\n",
              "      },\n",
              "      \"finish_reason\": \"stop_sequence\"\n",
              "    }\n",
              "  ],\n",
              "  \"model\": \"claude-2.0\",\n",
              "  \"id\": \"gen-IiuV7ZNimDufVeutBHrl8ajPuzEh\",\n",
              "  \"response_ms\": 8112.443000000001\n",
              "}"
            ]
          },
          "execution_count": 12,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "response = completion(\n",
        "            model=\"openrouter/anthropic/claude-2\",\n",
        "            messages=[{\"role\": \"user\", \"content\": \"write code for saying hi\"}]\n",
        ")\n",
        "response"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dJBOUYdwCEn1",
        "outputId": "ffa18679-ec15-4dad-fe2b-68665cdf36b0"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<OpenAIObject id=gen-PyMd3yyJ0aQsCgIY9R8XGZoAtPbl at 0x7c3dceefcae0> JSON: {\n",
              "  \"id\": \"gen-PyMd3yyJ0aQsCgIY9R8XGZoAtPbl\",\n",
              "  \"model\": \"togethercomputer/llama-2-70b-chat\",\n",
              "  \"choices\": [\n",
              "    {\n",
              "      \"message\": {\n",
              "        \"role\": \"assistant\",\n",
              "        \"content\": \"*gives a sly smile as they type*\\n\\nHey there, handsome. \\ud83d\\ude0f\\n\\nWhat brings you to my neck of the woods today? \\ud83d\\ude18\"\n",
              "      }\n",
              "    }\n",
              "  ],\n",
              "  \"response_ms\": 9618.775\n",
              "}"
            ]
          },
          "execution_count": 13,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "response = completion(\n",
        "            model=\"openrouter/meta-llama/llama-2-70b-chat\",\n",
        "            messages=[{\"role\": \"user\", \"content\": \"write code for saying hi\"}]\n",
        ")\n",
        "response"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}