ai21: init package (#17592)

Co-authored-by: Asaf Gardin <asafg@ai21.com>
Co-authored-by: etang <etang@ai21.com>
Co-authored-by: asafgardin <147075902+asafgardin@users.noreply.github.com>
This commit is contained in:
Erick Friis
2024-02-15 12:25:05 -08:00
committed by GitHub
parent 20a56fe0a2
commit 6cc6faa00e
32 changed files with 2685 additions and 75 deletions

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@@ -0,0 +1,131 @@
{
"cells": [
{
"cell_type": "markdown",
"id": "e49f1e0d",
"metadata": {},
"source": [
"# ChatAI21\n",
"\n",
"This notebook covers how to get started with AI21 chat models.\n",
"\n",
"## Installation"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "4c3bef91",
"metadata": {
"ExecuteTime": {
"end_time": "2024-02-15T06:50:44.929635Z",
"start_time": "2024-02-15T06:50:41.209704Z"
}
},
"outputs": [],
"source": [
"!pip install -qU langchain-ai21"
]
},
{
"cell_type": "markdown",
"id": "2b4f3e15",
"metadata": {},
"source": [
"## Environment Setup\n",
"\n",
"We'll need to get a [AI21 API key](https://docs.ai21.com/) and set the `AI21_API_KEY` environment variable:\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "62e0dbc3",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import os\n",
"from getpass import getpass\n",
"\n",
"os.environ[\"AI21_API_KEY\"] = getpass()"
]
},
{
"cell_type": "markdown",
"id": "4828829d3da430ce",
"metadata": {
"collapsed": false
},
"source": [
"## Usage"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "39353473fce5dd2e",
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"AIMessage(content='Bonjour, comment vas-tu?')"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from langchain_ai21 import ChatAI21\n",
"from langchain_core.prompts import ChatPromptTemplate\n",
"\n",
"chat = ChatAI21(model=\"j2-ultra\")\n",
"\n",
"prompt = ChatPromptTemplate.from_messages(\n",
" [\n",
" (\"system\", \"You are a helpful assistant that translates English to French.\"),\n",
" (\"human\", \"Translate this sentence from English to French. {english_text}.\"),\n",
" ]\n",
")\n",
"\n",
"chain = prompt | chat\n",
"chain.invoke({\"english_text\": \"Hello, how are you?\"})"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c159a79f",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.4"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

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@@ -5,133 +5,100 @@
"id": "9597802c",
"metadata": {},
"source": [
"# AI21\n",
"# AI21LLM\n",
"\n",
"[AI21 Studio](https://docs.ai21.com/) provides API access to `Jurassic-2` large language models.\n",
"This example goes over how to use LangChain to interact with `AI21` models.\n",
"\n",
"This example goes over how to use LangChain to interact with [AI21 models](https://docs.ai21.com/docs/jurassic-2-models)."
"## Installation"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "02be122d-04e8-4ec6-84d1-f1d8961d6828",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[33mWARNING: There was an error checking the latest version of pip.\u001b[0m\u001b[33m\n",
"\u001b[0mNote: you may need to restart the kernel to use updated packages.\n"
]
}
],
"source": [
"# install the package:\n",
"%pip install --upgrade --quiet ai21"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "4229227e-6ca2-41ad-a3c3-5f29e3559091",
"metadata": {
"tags": []
},
"execution_count": null,
"id": "59c710c4",
"metadata": {},
"outputs": [],
"source": [
"# get AI21_API_KEY. Use https://studio.ai21.com/account/account\n",
"\n",
"from getpass import getpass\n",
"\n",
"AI21_API_KEY = getpass()"
"!pip install -qU langchain-ai21"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "6fb585dd",
"cell_type": "markdown",
"id": "560a2f9254963fd7",
"metadata": {
"tags": []
"collapsed": false
},
"outputs": [],
"source": [
"from langchain_community.llms import AI21\n",
"from langchain_core.prompts import PromptTemplate"
"## Environment Setup\n",
"\n",
"We'll need to get a [AI21 API key](https://docs.ai21.com/) and set the `AI21_API_KEY` environment variable:"
]
},
{
"cell_type": "code",
"execution_count": 12,
"execution_count": 4,
"id": "035dea0f",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"template = \"\"\"Question: {question}\n",
"import os\n",
"from getpass import getpass\n",
"\n",
"Answer: Let's think step by step.\"\"\"\n",
"\n",
"prompt = PromptTemplate.from_template(template)"
"os.environ[\"AI21_API_KEY\"] = getpass()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "3f3458d9",
"cell_type": "markdown",
"id": "1891df96eb076e1a",
"metadata": {
"tags": []
"collapsed": false
},
"outputs": [],
"source": [
"llm = AI21(ai21_api_key=AI21_API_KEY)"
"## Usage"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "a641dbd9",
"execution_count": 6,
"id": "98f70927a87e4745",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"llm_chain = prompt | llm"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "9f0b1960",
"metadata": {
"tags": []
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"'\\nThe Super Bowl in the year Justin Beiber was born was in the year 1991.\\nThe Super Bowl in 1991 was won by the Washington Redskins.\\nFinal answer: Washington Redskins'"
"'\\nLangChain is a decentralized blockchain network that leverages AI and machine learning to provide language translation services.'"
]
},
"execution_count": 13,
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"question = \"What NFL team won the Super Bowl in the year Justin Beiber was born?\"\n",
"from langchain_ai21 import AI21LLM\n",
"from langchain_core.prompts import PromptTemplate\n",
"\n",
"llm_chain.invoke({\"question\": question})"
"template = \"\"\"Question: {question}\n",
"\n",
"Answer: Let's think step by step.\"\"\"\n",
"\n",
"prompt = PromptTemplate.from_template(template)\n",
"\n",
"model = AI21LLM(model=\"j2-ultra\")\n",
"\n",
"chain = prompt | model\n",
"\n",
"chain.invoke({\"question\": \"What is LangChain?\"})"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "22bce013",
"id": "a52f765c",
"metadata": {},
"outputs": [],
"source": []
@@ -139,7 +106,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "Python 3.11.1 64-bit",
"language": "python",
"name": "python3"
},
@@ -153,7 +120,12 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.13"
"version": "3.11.4"
},
"vscode": {
"interpreter": {
"hash": "e971737741ff4ec9aff7dc6155a1060a59a8a6d52c757dbbe66bf8ee389494b1"
}
}
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"nbformat": 4,

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@@ -0,0 +1,128 @@
{
"cells": [
{
"cell_type": "markdown",
"id": "cc3c6ef6bbd57ce9",
"metadata": {
"collapsed": false
},
"source": [
"# AI21Embeddings\n",
"\n",
"This notebook covers how to get started with AI21 embedding models.\n",
"\n",
"## Installation"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "4c3bef91",
"metadata": {},
"outputs": [],
"source": [
"!pip install -qU langchain-ai21"
]
},
{
"cell_type": "markdown",
"id": "2b4f3e15",
"metadata": {},
"source": [
"## Environment Setup\n",
"\n",
"We'll need to get a [AI21 API key](https://docs.ai21.com/) and set the `AI21_API_KEY` environment variable:\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "62e0dbc3",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import os\n",
"from getpass import getpass\n",
"\n",
"os.environ[\"AI21_API_KEY\"] = getpass()"
]
},
{
"cell_type": "markdown",
"id": "74ef9d8b40a1319e",
"metadata": {
"collapsed": false
},
"source": [
"## Usage"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "12fcfb4b",
"metadata": {},
"outputs": [],
"source": [
"from langchain_ai21 import AI21Embeddings\n",
"\n",
"embeddings = AI21Embeddings()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1f2e6104",
"metadata": {},
"outputs": [],
"source": [
"embeddings.embed_query(\"My query to look up\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a3465d7e63bfb3d1",
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"embeddings.embed_documents(\n",
" [\"This is a content of the document\", \"This is another document\"]\n",
")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9d60af6d",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.4"
}
},
"nbformat": 4,
"nbformat_minor": 5
}