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langfuse cookbook

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ishaan-jaff 2023-10-03 21:07:43 -07:00
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cookbook/logging_observability/LiteLLM_Langfuse.ipynb vendored Normal file
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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"source": [
"## Use LiteLLM with Langfuse\n",
"https://docs.litellm.ai/docs/observability/langfuse_integration"
],
"metadata": {
"id": "4FbDOmcj2VkM"
}
},
{
"cell_type": "markdown",
"source": [
"## Install Dependencies"
],
"metadata": {
"id": "21W8Woog26Ns"
}
},
{
"cell_type": "code",
"source": [
"!pip install litellm langfuse"
],
"metadata": {
"id": "xrjKLBxhxu2L"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"## Set Env Variables"
],
"metadata": {
"id": "jHEu-TjZ29PJ"
}
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"id": "QWd9rTysxsWO"
},
"outputs": [],
"source": [
"import litellm\n",
"from litellm import completion\n",
"import os\n",
"\n",
"# from https://cloud.langfuse.com/\n",
"os.environ[\"LANGFUSE_PUBLIC_KEY\"] = \"\"\n",
"os.environ[\"LANGFUSE_SECRET_KEY\"] = \"\"\n",
"\n",
"\n",
"# OpenAI and Cohere keys\n",
"# You can use any of the litellm supported providers: https://docs.litellm.ai/docs/providers\n",
"os.environ['OPENAI_API_KEY']=\"\"\n",
"os.environ['COHERE_API_KEY']=\"\"\n"
]
},
{
"cell_type": "markdown",
"source": [
"## Set LangFuse as a callback for sending data\n",
"## OpenAI completion call"
],
"metadata": {
"id": "NodQl0hp3Lma"
}
},
{
"cell_type": "code",
"source": [
"# set langfuse as a callback, litellm will send the data to langfuse\n",
"litellm.success_callback = [\"langfuse\"]\n",
"\n",
"# openai call\n",
"response = completion(\n",
" model=\"gpt-3.5-turbo\",\n",
" messages=[\n",
" {\"role\": \"user\", \"content\": \"Hi 👋 - i'm openai\"}\n",
" ]\n",
")\n",
"\n",
"print(response)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "vNAuwJY1yp_F",
"outputId": "c3a71e26-13f5-4379-fac9-409290ba79bb"
},
"execution_count": 8,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"{\n",
" \"id\": \"chatcmpl-85nP4xHdAP3jAcGneIguWATS9qdoO\",\n",
" \"object\": \"chat.completion\",\n",
" \"created\": 1696392238,\n",
" \"model\": \"gpt-3.5-turbo-0613\",\n",
" \"choices\": [\n",
" {\n",
" \"index\": 0,\n",
" \"message\": {\n",
" \"role\": \"assistant\",\n",
" \"content\": \"Hello! How can I assist you today?\"\n",
" },\n",
" \"finish_reason\": \"stop\"\n",
" }\n",
" ],\n",
" \"usage\": {\n",
" \"prompt_tokens\": 15,\n",
" \"completion_tokens\": 9,\n",
" \"total_tokens\": 24\n",
" }\n",
"}\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"# we set langfuse as a callback in the prev cell\n",
"# cohere call\n",
"response = completion(\n",
" model=\"command-nightly\",\n",
" messages=[\n",
" {\"role\": \"user\", \"content\": \"Hi 👋 - i'm cohere\"}\n",
" ]\n",
")\n",
"\n",
"print(response)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "2PMSLc_FziJL",
"outputId": "1c37605e-b406-4ffc-aafd-e1983489c6be"
},
"execution_count": 9,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"{\n",
" \"object\": \"chat.completion\",\n",
" \"choices\": [\n",
" {\n",
" \"finish_reason\": \"stop\",\n",
" \"index\": 0,\n",
" \"message\": {\n",
" \"content\": \" Nice to meet you, Cohere! I'm excited to be meeting new members of the AI community\",\n",
" \"role\": \"assistant\",\n",
" \"logprobs\": null\n",
" }\n",
" }\n",
" ],\n",
" \"id\": \"chatcmpl-a14e903f-4608-4ceb-b996-8ebdf21360ca\",\n",
" \"created\": 1696392247.3313863,\n",
" \"model\": \"command-nightly\",\n",
" \"usage\": {\n",
" \"prompt_tokens\": 8,\n",
" \"completion_tokens\": 20,\n",
" \"total_tokens\": 28\n",
" }\n",
"}\n"
]
}
]
}
]
}