|
| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "markdown", |
| 5 | + "id": "091d7544", |
| 6 | + "metadata": {}, |
| 7 | + "source": [ |
| 8 | + "[](https://colab.research.google.com/github/openlayer-ai/openlayer-python/blob/main/examples/tracing/bedrock/bedrock_tracing.ipynb)\n", |
| 9 | + "\n", |
| 10 | + "\n", |
| 11 | + "# <a id=\"top\">Tracing a AWS Bedrock model invocation</a>\n", |
| 12 | + "\n", |
| 13 | + "## 1. Set the environment variables" |
| 14 | + ] |
| 15 | + }, |
| 16 | + { |
| 17 | + "cell_type": "code", |
| 18 | + "execution_count": null, |
| 19 | + "id": "5c1adbce", |
| 20 | + "metadata": {}, |
| 21 | + "outputs": [], |
| 22 | + "source": [ |
| 23 | + "import os\n", |
| 24 | + "\n", |
| 25 | + "# Openlayer env variables\n", |
| 26 | + "os.environ[\"OPENLAYER_API_KEY\"] = \"YOUR_OPENLAYER_API_KEY_HERE\"\n", |
| 27 | + "os.environ[\"OPENLAYER_INFERENCE_PIPELINE_ID\"] = \"YOUR_OPENLAYER_INFERENCE_PIPELINE_ID_HERE\"" |
| 28 | + ] |
| 29 | + }, |
| 30 | + { |
| 31 | + "cell_type": "markdown", |
| 32 | + "id": "13c44cbd", |
| 33 | + "metadata": {}, |
| 34 | + "source": [ |
| 35 | + "## 2. Initialize the session" |
| 36 | + ] |
| 37 | + }, |
| 38 | + { |
| 39 | + "cell_type": "code", |
| 40 | + "execution_count": null, |
| 41 | + "id": "9c82b04f", |
| 42 | + "metadata": {}, |
| 43 | + "outputs": [], |
| 44 | + "source": [ |
| 45 | + "import json\n", |
| 46 | + "\n", |
| 47 | + "import boto3" |
| 48 | + ] |
| 49 | + }, |
| 50 | + { |
| 51 | + "cell_type": "code", |
| 52 | + "execution_count": null, |
| 53 | + "id": "21659c33", |
| 54 | + "metadata": {}, |
| 55 | + "outputs": [], |
| 56 | + "source": [ |
| 57 | + "# Initialize a session using Amazon Bedrock\n", |
| 58 | + "session = boto3.Session(\n", |
| 59 | + " aws_access_key_id='YOUR_AWS_ACCESS_KEY_ID_HERE',\n", |
| 60 | + " aws_secret_access_key='YOUR_AWS_SECRET_ACCESS_KEY_HERE',\n", |
| 61 | + " region_name='us-east-1' # Change to your desired region\n", |
| 62 | + ")\n" |
| 63 | + ] |
| 64 | + }, |
| 65 | + { |
| 66 | + "cell_type": "markdown", |
| 67 | + "id": "017c53be", |
| 68 | + "metadata": {}, |
| 69 | + "source": [ |
| 70 | + "## 3. Wrap the Bedrock client in Openlayer's `trace_bedrock` function" |
| 71 | + ] |
| 72 | + }, |
| 73 | + { |
| 74 | + "cell_type": "code", |
| 75 | + "execution_count": null, |
| 76 | + "id": "24ddd361", |
| 77 | + "metadata": {}, |
| 78 | + "outputs": [], |
| 79 | + "source": [ |
| 80 | + "from openlayer.lib import trace_bedrock" |
| 81 | + ] |
| 82 | + }, |
| 83 | + { |
| 84 | + "cell_type": "code", |
| 85 | + "execution_count": null, |
| 86 | + "id": "fecb56cb", |
| 87 | + "metadata": {}, |
| 88 | + "outputs": [], |
| 89 | + "source": [ |
| 90 | + "bedrock_client = trace_bedrock(session.client(service_name='bedrock-runtime'))" |
| 91 | + ] |
| 92 | + }, |
| 93 | + { |
| 94 | + "cell_type": "markdown", |
| 95 | + "id": "4eb11465", |
| 96 | + "metadata": {}, |
| 97 | + "source": [ |
| 98 | + "## 4. Invoke the model normally\n", |
| 99 | + "\n", |
| 100 | + "That's it! Now you can continue using the traced Bedrock client normally. The data is automatically published to Openlayer and you can start creating tests around it!" |
| 101 | + ] |
| 102 | + }, |
| 103 | + { |
| 104 | + "cell_type": "code", |
| 105 | + "execution_count": null, |
| 106 | + "id": "c3f97c28", |
| 107 | + "metadata": {}, |
| 108 | + "outputs": [], |
| 109 | + "source": [ |
| 110 | + "# Define the model ID and the input prompt\n", |
| 111 | + "model_id = 'anthropic.claude-3-5-sonnet-20240620-v1:0' # Replace with your model ID\n", |
| 112 | + "input_data = {\n", |
| 113 | + " \"max_tokens\": 256,\n", |
| 114 | + " \"messages\": [{\"role\": \"user\", \"content\": \"Hello, world\"}],\n", |
| 115 | + " \"anthropic_version\": \"bedrock-2023-05-31\"\n", |
| 116 | + "}\n", |
| 117 | + "\n" |
| 118 | + ] |
| 119 | + }, |
| 120 | + { |
| 121 | + "cell_type": "code", |
| 122 | + "execution_count": null, |
| 123 | + "id": "1dcd33b8", |
| 124 | + "metadata": {}, |
| 125 | + "outputs": [], |
| 126 | + "source": [ |
| 127 | + "# Invoke the model\n", |
| 128 | + "response = bedrock_client.invoke_model(\n", |
| 129 | + " body=json.dumps(input_data),\n", |
| 130 | + " contentType='application/json',\n", |
| 131 | + " accept='application/json',\n", |
| 132 | + " modelId=model_id\n", |
| 133 | + ")" |
| 134 | + ] |
| 135 | + }, |
| 136 | + { |
| 137 | + "cell_type": "markdown", |
| 138 | + "id": "3a647127", |
| 139 | + "metadata": {}, |
| 140 | + "source": [] |
| 141 | + } |
| 142 | + ], |
| 143 | + "metadata": { |
| 144 | + "kernelspec": { |
| 145 | + "display_name": "bedrock-test", |
| 146 | + "language": "python", |
| 147 | + "name": "python3" |
| 148 | + }, |
| 149 | + "language_info": { |
| 150 | + "codemirror_mode": { |
| 151 | + "name": "ipython", |
| 152 | + "version": 3 |
| 153 | + }, |
| 154 | + "file_extension": ".py", |
| 155 | + "mimetype": "text/x-python", |
| 156 | + "name": "python", |
| 157 | + "nbconvert_exporter": "python", |
| 158 | + "pygments_lexer": "ipython3", |
| 159 | + "version": "3.12.3" |
| 160 | + } |
| 161 | + }, |
| 162 | + "nbformat": 4, |
| 163 | + "nbformat_minor": 5 |
| 164 | +} |
0 commit comments