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{
"cells": [
{
"attachments": {},
"cell_type": "markdown",
"metadata": {
"id": "fNkMBurtxawJ"
},
"source": [
"# LiteLLM Bedrock Usage\n",
"Important Note: For Bedrock Requests you need to ensure you have `pip install boto3>=1.28.57`, boto3 supports bedrock from `boto3>=1.28.57` and higher "
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {
"id": "htAufI28xeSy"
},
"source": [
"## Pre-Requisites"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "jT5GbPjAuDTp"
},
"outputs": [],
"source": [
"!pip install litellm\n",
"!pip install boto3>=1.28.57 # this version onwards has bedrock support"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {
"id": "H4Vu4er2xnfI"
},
"source": [
"## Set Bedrock/AWS Credentials"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"id": "CtTrBthWxp-t"
},
"outputs": [],
"source": [
"import os\n",
"os.environ[\"AWS_ACCESS_KEY_ID\"] = \"\" # Access key\n",
"os.environ[\"AWS_SECRET_ACCESS_KEY\"] = \"\" # Secret access key\n",
"os.environ[\"AWS_REGION_NAME\"] = \"\""
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {
"id": "ycRK9NUdx1EI"
},
"source": [
"## Anthropic Requests"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "tgkuoHa5uLOy",
"outputId": "27a78e86-c6a7-4bcc-8559-0813cb978426"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Claude instant 1, response\n",
"{\n",
" \"object\": \"chat.completion\",\n",
" \"choices\": [\n",
" {\n",
" \"finish_reason\": \"stop\",\n",
" \"index\": 0,\n",
" \"message\": {\n",
" \"content\": \" I'm doing well, thanks for asking!\",\n",
" \"role\": \"assistant\",\n",
" \"logprobs\": null\n",
" }\n",
" }\n",
" ],\n",
" \"id\": \"chatcmpl-4f2e64a1-56d2-43f2-90d3-60ffd6f5086d\",\n",
" \"created\": 1696256761.3265705,\n",
" \"model\": \"anthropic.claude-instant-v1\",\n",
" \"usage\": {\n",
" \"prompt_tokens\": 11,\n",
" \"completion_tokens\": 9,\n",
" \"total_tokens\": 20\n",
" },\n",
" \"finish_reason\": \"stop_sequence\"\n",
"}\n",
"Claude v2, response\n",
"{\n",
" \"object\": \"chat.completion\",\n",
" \"choices\": [\n",
" {\n",
" \"finish_reason\": \"stop\",\n",
" \"index\": 0,\n",
" \"message\": {\n",
" \"content\": \" I'm doing well, thanks for asking!\",\n",
" \"role\": \"assistant\",\n",
" \"logprobs\": null\n",
" }\n",
" }\n",
" ],\n",
" \"id\": \"chatcmpl-34f59b33-f94e-40c2-8bdb-f4af0813405e\",\n",
" \"created\": 1696256762.2137017,\n",
" \"model\": \"anthropic.claude-v2\",\n",
" \"usage\": {\n",
" \"prompt_tokens\": 11,\n",
" \"completion_tokens\": 9,\n",
" \"total_tokens\": 20\n",
" },\n",
" \"finish_reason\": \"stop_sequence\"\n",
"}\n"
]
}
],
"source": [
"from litellm import completion\n",
"\n",
"response = completion(\n",
" model=\"bedrock/anthropic.claude-instant-v1\",\n",
" messages=[{ \"content\": \"Hello, how are you?\",\"role\": \"user\"}]\n",
")\n",
"print(\"Claude instant 1, response\")\n",
"print(response)\n",
"\n",
"\n",
"response = completion(\n",
" model=\"bedrock/anthropic.claude-v2\",\n",
" messages=[{ \"content\": \"Hello, how are you?\",\"role\": \"user\"}]\n",
")\n",
"print(\"Claude v2, response\")\n",
"print(response)"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {
"id": "HnM-HtM3yFMT"
},
"source": [
"## Anthropic Requests - With Streaming"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "_JZvg2yovRsU"
},
"outputs": [],
"source": [
"from litellm import completion\n",
"\n",
"response = completion(\n",
" model=\"bedrock/anthropic.claude-instant-v1\",\n",
" messages=[{ \"content\": \"Hello, how are you?\",\"role\": \"user\"}],\n",
" stream=True,\n",
")\n",
"print(\"Claude instant 1, response\")\n",
"for chunk in response:\n",
" print(chunk)\n",
"\n",
"\n",
"response = completion(\n",
" model=\"bedrock/anthropic.claude-v2\",\n",
" messages=[{ \"content\": \"Hello, how are you?\",\"role\": \"user\"}],\n",
" stream=True\n",
")\n",
"print(\"Claude v2, response\")\n",
"print(response)\n",
"for chunk in response:\n",
" print(chunk)"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {
"id": "zj1U1mh9zEhP"
},
"source": [
"## A121 Requests"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "6wK6MZLovU7r",
"outputId": "4cf80c04-f15d-4066-b4c7-113b551538de"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"J2 ultra response\n",
"{\n",
" \"object\": \"chat.completion\",\n",
" \"choices\": [\n",
" {\n",
" \"finish_reason\": \"stop\",\n",
" \"index\": 0,\n",
" \"message\": {\n",
" \"content\": \"\\nHi, I'm doing well, thanks for asking! How about you?\",\n",
" \"role\": \"assistant\",\n",
" \"logprobs\": null\n",
" }\n",
" }\n",
" ],\n",
" \"id\": \"chatcmpl-f2de678f-0e70-4e36-a01f-8b184c2e4d50\",\n",
" \"created\": 1696257116.044311,\n",
" \"model\": \"ai21.j2-ultra\",\n",
" \"usage\": {\n",
" \"prompt_tokens\": 6,\n",
" \"completion_tokens\": 16,\n",
" \"total_tokens\": 22\n",
" }\n",
"}\n",
"J2 mid response\n",
"{\n",
" \"object\": \"chat.completion\",\n",
" \"choices\": [\n",
" {\n",
" \"finish_reason\": \"stop\",\n",
" \"index\": 0,\n",
" \"message\": {\n",
" \"content\": \"\\nGood. And you?\",\n",
" \"role\": \"assistant\",\n",
" \"logprobs\": null\n",
" }\n",
" }\n",
" ],\n",
" \"id\": \"chatcmpl-420d6bf9-36d8-484b-93b4-4c9e00f7ce2e\",\n",
" \"created\": 1696257116.5756805,\n",
" \"model\": \"ai21.j2-mid\",\n",
" \"usage\": {\n",
" \"prompt_tokens\": 6,\n",
" \"completion_tokens\": 6,\n",
" \"total_tokens\": 12\n",
" }\n",
"}\n"
]
}
],
"source": [
"response = completion(\n",
" model=\"bedrock/ai21.j2-ultra\",\n",
" messages=[{ \"content\": \"Hello, how are you?\",\"role\": \"user\"}],\n",
")\n",
"print(\"J2 ultra response\")\n",
"print(response)\n",
"\n",
"response = completion(\n",
" model=\"bedrock/ai21.j2-mid\",\n",
" messages=[{ \"content\": \"Hello, how are you?\",\"role\": \"user\"}],\n",
")\n",
"print(\"J2 mid response\")\n",
"print(response)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "Y5gGZIwzzSON"
},
"outputs": [],
"source": []
}
],
"metadata": {
"colab": {
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
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