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{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "BmX0b5Ueh91v"
},
"source": [
"# LiteLLM - Azure OpenAI + OpenAI Calls\n",
"This notebook covers the following for Azure OpenAI + OpenAI:\n",
"* Completion - Quick start\n",
"* Completion - Streaming\n",
"* Completion - Azure, OpenAI in separate threads\n",
"* Completion - Stress Test 10 requests in parallel\n",
"* Completion - Azure, OpenAI in the same thread"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "iHq4d0dpfawS"
},
"outputs": [],
"source": [
"!pip install litellm"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"id": "mnveHO5dfcB0"
},
"outputs": [],
"source": [
"import os"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "eo88QUdbiDIE"
},
"source": [
"## Completion - Quick start"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "5OSosWNCfc_2",
"outputId": "c52344b1-2458-4695-a7eb-a9b076893348"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Openai Response\n",
"\n",
"{\n",
" \"id\": \"chatcmpl-7yjVOEKCPw2KdkfIaM3Ao1tIXp8EM\",\n",
" \"object\": \"chat.completion\",\n",
" \"created\": 1694708958,\n",
" \"model\": \"gpt-3.5-turbo-0613\",\n",
" \"choices\": [\n",
" {\n",
" \"index\": 0,\n",
" \"message\": {\n",
" \"role\": \"assistant\",\n",
" \"content\": \"I'm an AI, so I don't have feelings, but I'm here to help you. How can I assist you?\"\n",
" },\n",
" \"finish_reason\": \"stop\"\n",
" }\n",
" ],\n",
" \"usage\": {\n",
" \"prompt_tokens\": 13,\n",
" \"completion_tokens\": 26,\n",
" \"total_tokens\": 39\n",
" }\n",
"}\n",
"Azure Response\n",
"\n",
"{\n",
" \"id\": \"chatcmpl-7yjVQ6m2R2HRtnKHRRFp6JzL4Fjez\",\n",
" \"object\": \"chat.completion\",\n",
" \"created\": 1694708960,\n",
" \"model\": \"gpt-35-turbo\",\n",
" \"choices\": [\n",
" {\n",
" \"index\": 0,\n",
" \"finish_reason\": \"stop\",\n",
" \"message\": {\n",
" \"role\": \"assistant\",\n",
" \"content\": \"Hello there! As an AI language model, I don't have feelings but I'm functioning well. How can I assist you today?\"\n",
" }\n",
" }\n",
" ],\n",
" \"usage\": {\n",
" \"completion_tokens\": 27,\n",
" \"prompt_tokens\": 14,\n",
" \"total_tokens\": 41\n",
" }\n",
"}\n"
]
}
],
"source": [
"from litellm import completion\n",
"\n",
"# openai configs\n",
"os.environ[\"OPENAI_API_KEY\"] = \"\"\n",
"\n",
"# azure openai configs\n",
"os.environ[\"AZURE_API_KEY\"] = \"\"\n",
"os.environ[\"AZURE_API_BASE\"] = \"https://openai-gpt-4-test-v-1.openai.azure.com/\"\n",
"os.environ[\"AZURE_API_VERSION\"] = \"2023-05-15\"\n",
"\n",
"\n",
"# openai call\n",
"response = completion(\n",
" model = \"gpt-3.5-turbo\",\n",
" messages = [{ \"content\": \"Hello, how are you?\",\"role\": \"user\"}]\n",
")\n",
"print(\"Openai Response\\n\")\n",
"print(response)\n",
"\n",
"\n",
"\n",
"# azure call\n",
"response = completion(\n",
" model = \"azure/your-azure-deployment\",\n",
" messages = [{ \"content\": \"Hello, how are you?\",\"role\": \"user\"}]\n",
")\n",
"print(\"Azure Response\\n\")\n",
"print(response)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "dQMkM-diiKdE"
},
"source": [
"## Completion - Streaming"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "uVvJDVn4g1i1"
},
"outputs": [],
"source": [
"import os\n",
"from litellm import completion\n",
"\n",
"# openai configs\n",
"os.environ[\"OPENAI_API_KEY\"] = \"\"\n",
"\n",
"# azure openai configs\n",
"os.environ[\"AZURE_API_KEY\"] = \"\"\n",
"os.environ[\"AZURE_API_BASE\"] = \"https://openai-gpt-4-test-v-1.openai.azure.com/\"\n",
"os.environ[\"AZURE_API_VERSION\"] = \"2023-05-15\"\n",
"\n",
"\n",
"# openai call\n",
"response = completion(\n",
" model = \"gpt-3.5-turbo\",\n",
" messages = [{ \"content\": \"Hello, how are you?\",\"role\": \"user\"}],\n",
" stream=True\n",
")\n",
"print(\"OpenAI Streaming response\")\n",
"for chunk in response:\n",
" print(chunk)\n",
"\n",
"# azure call\n",
"response = completion(\n",
" model = \"azure/your-azure-deployment\",\n",
" messages = [{ \"content\": \"Hello, how are you?\",\"role\": \"user\"}],\n",
" stream=True\n",
")\n",
"print(\"Azure Streaming response\")\n",
"for chunk in response:\n",
" print(chunk)\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "4xrOPnt-oqwm"
},
"source": [
"## Completion - Azure, OpenAI in separate threads"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "V5b5taJPjvC3"
},
"outputs": [],
"source": [
"import os\n",
"import threading\n",
"from litellm import completion\n",
"\n",
"# Function to make a completion call\n",
"def make_completion(model, messages):\n",
" response = completion(\n",
" model=model,\n",
" messages=messages\n",
" )\n",
"\n",
" print(f\"Response for {model}: {response}\")\n",
"\n",
"# openai configs\n",
"os.environ[\"OPENAI_API_KEY\"] = \"\"\n",
"\n",
"# azure openai configs\n",
"os.environ[\"AZURE_API_KEY\"] = \"\"\n",
"os.environ[\"AZURE_API_BASE\"] = \"https://openai-gpt-4-test-v-1.openai.azure.com/\"\n",
"os.environ[\"AZURE_API_VERSION\"] = \"2023-05-15\"\n",
"\n",
"# Define the messages for the completions\n",
"messages = [{\"content\": \"Hello, how are you?\", \"role\": \"user\"}]\n",
"\n",
"# Create threads for making the completions\n",
"thread1 = threading.Thread(target=make_completion, args=(\"gpt-3.5-turbo\", messages))\n",
"thread2 = threading.Thread(target=make_completion, args=(\"azure/your-azure-deployment\", messages))\n",
"\n",
"# Start both threads\n",
"thread1.start()\n",
"thread2.start()\n",
"\n",
"# Wait for both threads to finish\n",
"thread1.join()\n",
"thread2.join()\n",
"\n",
"print(\"Both completions are done.\")"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "lx8DbMBqoAoN"
},
"source": [
"## Completion - Stress Test 10 requests in parallel\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "pHYANOlOkoDh"
},
"outputs": [],
"source": [
"import os\n",
"import threading\n",
"from litellm import completion\n",
"\n",
"# Function to make a completion call\n",
"def make_completion(model, messages):\n",
" response = completion(\n",
" model=model,\n",
" messages=messages\n",
" )\n",
"\n",
" print(f\"Response for {model}: {response}\")\n",
"\n",
"# Set your API keys\n",
"os.environ[\"OPENAI_API_KEY\"] = \"\"\n",
"os.environ[\"AZURE_API_KEY\"] = \"\"\n",
"os.environ[\"AZURE_API_BASE\"] = \"https://openai-gpt-4-test-v-1.openai.azure.com/\"\n",
"os.environ[\"AZURE_API_VERSION\"] = \"2023-05-15\"\n",
"\n",
"# Define the messages for the completions\n",
"messages = [{\"content\": \"Hello, how are you?\", \"role\": \"user\"}]\n",
"\n",
"# Create and start 10 threads for making completions\n",
"threads = []\n",
"for i in range(10):\n",
" thread = threading.Thread(target=make_completion, args=(\"gpt-3.5-turbo\" if i % 2 == 0 else \"azure/your-azure-deployment\", messages))\n",
" threads.append(thread)\n",
" thread.start()\n",
"\n",
"# Wait for all threads to finish\n",
"for thread in threads:\n",
" thread.join()\n",
"\n",
"print(\"All completions are done.\")\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "yB2NDOO4oxrp"
},
"source": [
"## Completion - Azure, OpenAI in the same thread"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "HTBqwzxpnxab",
"outputId": "f3bc0efe-e4d5-44d5-a193-97d178cfbe14"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"OpenAI Response: {\n",
" \"id\": \"chatcmpl-7yjzrDeOeVeSrQ00tApmTxEww3vBS\",\n",
" \"object\": \"chat.completion\",\n",
" \"created\": 1694710847,\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 feelings, but I'm here to help you. How can I assist 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",
"}\n",
"Azure OpenAI Response: {\n",
" \"id\": \"chatcmpl-7yjztAQ0gK6IMQt7cvLroMSOoXkeu\",\n",
" \"object\": \"chat.completion\",\n",
" \"created\": 1694710849,\n",
" \"model\": \"gpt-35-turbo\",\n",
" \"choices\": [\n",
" {\n",
" \"index\": 0,\n",
" \"finish_reason\": \"stop\",\n",
" \"message\": {\n",
" \"role\": \"assistant\",\n",
" \"content\": \"As an AI language model, I don't have feelings but I'm functioning properly. Thank you for asking! How can I assist you today?\"\n",
" }\n",
" }\n",
" ],\n",
" \"usage\": {\n",
" \"completion_tokens\": 29,\n",
" \"prompt_tokens\": 14,\n",
" \"total_tokens\": 43\n",
" }\n",
"}\n"
]
}
],
"source": [
"import os\n",
"from litellm import completion\n",
"\n",
"# Function to make both OpenAI and Azure completions\n",
"def make_completions():\n",
" # Set your OpenAI API key\n",
" os.environ[\"OPENAI_API_KEY\"] = \"\"\n",
"\n",
" # OpenAI completion\n",
" openai_response = completion(\n",
" model=\"gpt-3.5-turbo\",\n",
" messages=[{\"content\": \"Hello, how are you?\", \"role\": \"user\"}]\n",
" )\n",
"\n",
" print(\"OpenAI Response:\", openai_response)\n",
"\n",
" # Set your Azure OpenAI API key and configuration\n",
" os.environ[\"AZURE_API_KEY\"] = \"\"\n",
" os.environ[\"AZURE_API_BASE\"] = \"https://openai-gpt-4-test-v-1.openai.azure.com/\"\n",
" os.environ[\"AZURE_API_VERSION\"] = \"2023-05-15\"\n",
"\n",
" # Azure OpenAI completion\n",
" azure_response = completion(\n",
" model=\"azure/your-azure-deployment\",\n",
" messages=[{\"content\": \"Hello, how are you?\", \"role\": \"user\"}]\n",
" )\n",
"\n",
" print(\"Azure OpenAI Response:\", azure_response)\n",
"\n",
"# Call the function to make both completions in one thread\n",
"make_completions()\n"
]
}
],
"metadata": {
"colab": {
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 0
} |