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docs: anthropic partner package docs (langchain-ai#18109)
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efriis authored and Hayden Wolff committed Feb 27, 2024
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209 changes: 37 additions & 172 deletions docs/docs/integrations/chat/anthropic.ipynb
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"source": [
"# ChatAnthropic\n",
"\n",
"This notebook covers how to get started with Anthropic chat models."
"This notebook covers how to get started with Anthropic chat models.\n",
"\n",
"## Setup\n",
"\n",
"For setup instructions, please see the Installation and Environment Setup sections of the [Anthropic Platform page](/docs/integrations/platforms/anthropic.mdx)."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "d4a7c55d-b235-4ca4-a579-c90cc9570da9",
"metadata": {
"ExecuteTime": {
"end_time": "2024-01-19T11:25:00.590587Z",
"start_time": "2024-01-19T11:25:00.127293Z"
},
"tags": []
},
"execution_count": null,
"id": "91be2e12",
"metadata": {},
"outputs": [],
"source": [
"from langchain_community.chat_models import ChatAnthropic\n",
"from langchain_core.prompts import ChatPromptTemplate"
"%pip install -qU langchain-anthropic"
]
},
{
"cell_type": "markdown",
"id": "584ed5ec",
"metadata": {},
"source": [
"## Environment Setup\n",
"\n",
"We'll need to get a [Anthropic](https://console.anthropic.com/settings/keys) and set the `ANTHROPIC_API_KEY` environment variable:"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "70cf04e8-423a-4ff6-8b09-f11fb711c817",
"metadata": {
"ExecuteTime": {
"end_time": "2024-01-19T11:25:04.349676Z",
"start_time": "2024-01-19T11:25:03.964930Z"
},
"tags": []
},
"execution_count": null,
"id": "01578ae3",
"metadata": {},
"outputs": [],
"source": [
"chat = ChatAnthropic(temperature=0, model_name=\"claude-2\")"
"import os\n",
"from getpass import getpass\n",
"\n",
"os.environ[\"ANTHROPIC_API_KEY\"] = getpass()"
]
},
{
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"outputs": [
{
"data": {
"text/plain": "AIMessage(content=' 저는 파이썬을 좋아합니다.')"
"text/plain": [
"AIMessage(content=' 저는 파이썬을 좋아합니다.')"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from langchain_anthropic import ChatAnthropic\n",
"from langchain_core.prompts import ChatPromptTemplate\n",
"\n",
"chat = ChatAnthropic(temperature=0, model_name=\"claude-2\")\n",
"\n",
"system = (\n",
" \"You are a helpful assistant that translates {input_language} to {output_language}.\"\n",
")\n",
Expand Down Expand Up @@ -128,7 +139,9 @@
"outputs": [
{
"data": {
"text/plain": "AIMessage(content=\" Why don't bears like fast food? Because they can't catch it!\")"
"text/plain": [
"AIMessage(content=\" Why don't bears like fast food? Because they can't catch it!\")"
]
},
"execution_count": 4,
"metadata": {},
Expand Down Expand Up @@ -189,154 +202,6 @@
"for chunk in chain.stream({}):\n",
" print(chunk.content, end=\"\", flush=True)"
]
},
{
"cell_type": "markdown",
"id": "3737fc8d",
"metadata": {},
"source": [
"# ChatAnthropicMessages\n",
"\n",
"LangChain also offers the beta Anthropic Messages endpoint through the new `langchain-anthropic` package."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c253883f",
"metadata": {},
"outputs": [],
"source": [
"%pip install --upgrade --quiet langchain-anthropic"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "07c47c2a",
"metadata": {
"ExecuteTime": {
"end_time": "2024-01-19T11:25:25.288133Z",
"start_time": "2024-01-19T11:25:24.438968Z"
}
},
"outputs": [
{
"data": {
"text/plain": "AIMessage(content='파이썬을 사랑합니다.')"
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from langchain_anthropic import ChatAnthropicMessages\n",
"\n",
"chat = ChatAnthropicMessages(model_name=\"claude-instant-1.2\")\n",
"system = (\n",
" \"You are a helpful assistant that translates {input_language} to {output_language}.\"\n",
")\n",
"human = \"{text}\"\n",
"prompt = ChatPromptTemplate.from_messages([(\"system\", system), (\"human\", human)])\n",
"\n",
"chain = prompt | chat\n",
"chain.invoke(\n",
" {\n",
" \"input_language\": \"English\",\n",
" \"output_language\": \"Korean\",\n",
" \"text\": \"I love Python\",\n",
" }\n",
")"
]
},
{
"cell_type": "markdown",
"id": "19e53d75935143fd",
"metadata": {
"collapsed": false
},
"source": [
"ChatAnthropicMessages also requires the anthropic_api_key argument, or the ANTHROPIC_API_KEY environment variable must be set. \n",
"\n",
"ChatAnthropicMessages also supports async and streaming functionality:"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "e20a139d30e3d333",
"metadata": {
"ExecuteTime": {
"end_time": "2024-01-19T11:25:26.012325Z",
"start_time": "2024-01-19T11:25:25.288358Z"
},
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"outputs": [
{
"data": {
"text/plain": "AIMessage(content='파이썬을 사랑합니다.')"
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"await chain.ainvoke(\n",
" {\n",
" \"input_language\": \"English\",\n",
" \"output_language\": \"Korean\",\n",
" \"text\": \"I love Python\",\n",
" }\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "6f34f1073d7e7120",
"metadata": {
"ExecuteTime": {
"end_time": "2024-01-19T11:25:28.323455Z",
"start_time": "2024-01-19T11:25:26.012040Z"
},
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Here are some of the most famous tourist attractions in Japan:\n",
"\n",
"- Tokyo Tower - A communication and observation tower in Tokyo modeled after the Eiffel Tower. It offers stunning views of the city.\n",
"\n",
"- Mount Fuji - Japan's highest and most famous mountain. It's a iconic symbol of Japan and a UNESCO World Heritage Site. \n",
"\n",
"- Itsukushima Shrine (Miyajima) - A shrine located on an island in Hiroshima prefecture, known for its \"floating\" torii gate that seems to float on water during high tide.\n",
"\n",
"- Himeji Castle - A UNESCO World Heritage Site famous for having withstood numerous battles without destruction to its intricate white walls and sloping, triangular roofs. \n",
"\n",
"- Kawaguchiko Station - Near Mount Fuji, this area is known for its scenic Fuji Five Lakes region. \n",
"\n",
"- Hiroshima Peace Memorial Park and Museum - Commemorates the world's first atomic bombing in Hiroshima on August 6, 1945. \n",
"\n",
"- Arashiyama Bamboo Grove - A renowned bamboo forest located in Kyoto that draws many visitors.\n",
"\n",
"- Kegon Falls - One of Japan's largest waterfalls"
]
}
],
"source": [
"prompt = ChatPromptTemplate.from_messages(\n",
" [(\"human\", \"Give me a list of famous tourist attractions in Japan\")]\n",
")\n",
"chain = prompt | chat\n",
"for chunk in chain.stream({}):\n",
" print(chunk.content, end=\"\", flush=True)"
]
}
],
"metadata": {
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143 changes: 143 additions & 0 deletions docs/docs/integrations/llms/anthropic.ipynb
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@@ -0,0 +1,143 @@
{
"cells": [
{
"cell_type": "raw",
"id": "602a52a4",
"metadata": {},
"source": [
"---\n",
"sidebar_label: Anthropic\n",
"---"
]
},
{
"cell_type": "markdown",
"id": "9597802c",
"metadata": {},
"source": [
"# AnthropicLLM\n",
"\n",
"This example goes over how to use LangChain to interact with `Anthropic` models.\n",
"\n",
"## Installation"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "59c710c4",
"metadata": {},
"outputs": [],
"source": [
"%pip install -qU langchain-anthropic"
]
},
{
"cell_type": "markdown",
"id": "560a2f9254963fd7",
"metadata": {
"collapsed": false
},
"source": [
"## Environment Setup\n",
"\n",
"We'll need to get a [Anthropic](https://console.anthropic.com/settings/keys) and set the `ANTHROPIC_API_KEY` environment variable:"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "035dea0f",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import os\n",
"from getpass import getpass\n",
"\n",
"os.environ[\"ANTHROPIC_API_KEY\"] = getpass()"
]
},
{
"cell_type": "markdown",
"id": "1891df96eb076e1a",
"metadata": {
"collapsed": false
},
"source": [
"## Usage"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "98f70927a87e4745",
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"'\\nLangChain is a decentralized blockchain network that leverages AI and machine learning to provide language translation services.'"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from langchain_anthropic import AnthropicLLM\n",
"from langchain_core.prompts import PromptTemplate\n",
"\n",
"template = \"\"\"Question: {question}\n",
"\n",
"Answer: Let's think step by step.\"\"\"\n",
"\n",
"prompt = PromptTemplate.from_template(template)\n",
"\n",
"model = AnthropicLLM(model=\"claude-2.1\")\n",
"\n",
"chain = prompt | model\n",
"\n",
"chain.invoke({\"question\": \"What is LangChain?\"})"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a52f765c",
"metadata": {},
"outputs": [],
"source": []
}
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"display_name": "Python 3.11.1 64-bit",
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