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(docs) bedrock cookbook

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ishaan-jaff 2023-11-06 18:00:52 -08:00
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191
cookbook/LiteLLM_Bedrock.ipynb vendored
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@ -1,36 +1,25 @@
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"attachments": {},
"cell_type": "markdown",
"source": [
"# LiteLLM Bedrock Usage"
],
"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",
"source": [
"## Pre-Requisites"
],
"metadata": {
"id": "htAufI28xeSy"
}
},
"source": [
"## Pre-Requisites"
]
},
{
"cell_type": "code",
@ -45,57 +34,42 @@
]
},
{
"attachments": {},
"cell_type": "markdown",
"source": [
"## Set Bedrock/AWS Credentials"
],
"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\"] = \"\""
],
"metadata": {
"id": "CtTrBthWxp-t"
},
"execution_count": 9,
"outputs": []
]
},
{
"attachments": {},
"cell_type": "markdown",
"source": [
"## Anthropic Requests"
],
"metadata": {
"id": "ycRK9NUdx1EI"
}
},
"source": [
"## Anthropic Requests"
]
},
{
"cell_type": "code",
"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)"
],
"execution_count": 15,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
@ -103,11 +77,10 @@
"id": "tgkuoHa5uLOy",
"outputId": "27a78e86-c6a7-4bcc-8559-0813cb978426"
},
"execution_count": 15,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"output_type": "stream",
"text": [
"Claude instant 1, response\n",
"{\n",
@ -159,19 +132,43 @@
"}\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",
"source": [
"## Anthropic Requests - With Streaming"
],
"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",
@ -194,39 +191,21 @@
"print(response)\n",
"for chunk in response:\n",
" print(chunk)"
],
"metadata": {
"id": "_JZvg2yovRsU"
},
"execution_count": null,
"outputs": []
]
},
{
"attachments": {},
"cell_type": "markdown",
"source": [
"## A121 Requests"
],
"metadata": {
"id": "zj1U1mh9zEhP"
}
},
"source": [
"## A121 Requests"
]
},
{
"cell_type": "code",
"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)"
],
"execution_count": 19,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
@ -234,11 +213,10 @@
"id": "6wK6MZLovU7r",
"outputId": "4cf80c04-f15d-4066-b4c7-113b551538de"
},
"execution_count": 19,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"output_type": "stream",
"text": [
"J2 ultra response\n",
"{\n",
@ -288,16 +266,45 @@
"}\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",
"source": [],
"execution_count": null,
"metadata": {
"id": "Y5gGZIwzzSON"
},
"execution_count": null,
"outputs": []
"outputs": [],
"source": []
}
]
}
],
"metadata": {
"colab": {
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 0
}