mirror of
https://github.com/hwchase17/langchain.git
synced 2025-09-29 07:19:59 +00:00
bbb7c267e5
Updated using gritql
```
`os.environ[$key] = getpass($msg)` as $M where {
$M <: ! within if_statement(),
$M => `if $key not in os.environ: $M`
}
```
148 lines
3.3 KiB
Plaintext
148 lines
3.3 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "raw",
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"id": "602a52a4",
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"metadata": {
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"vscode": {
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"languageId": "raw"
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}
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},
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"source": [
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"---\n",
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"sidebar_label: Anthropic\n",
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"sidebar_class_name: hidden\n",
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"---"
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]
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},
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{
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"cell_type": "markdown",
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"id": "9597802c",
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"metadata": {},
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"source": [
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"# AnthropicLLM\n",
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"\n",
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":::caution\n",
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"You are currently on a page documenting the use of Anthropic legacy Claude 2 models as [text completion models](/docs/concepts/#llms). The latest and most popular Anthropic models are [chat completion models](/docs/concepts/#chat-models), and the text completion models have been deprecated.\n",
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"\n",
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"You are probably looking for [this page instead](/docs/integrations/chat/anthropic/).\n",
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":::\n",
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"\n",
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"This example goes over how to use LangChain to interact with `Anthropic` models.\n",
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"\n",
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"## Installation"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "59c710c4",
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"metadata": {},
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"outputs": [],
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"source": [
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"%pip install -qU langchain-anthropic"
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]
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},
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{
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"cell_type": "markdown",
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"id": "560a2f9254963fd7",
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"metadata": {
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"collapsed": false
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},
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"source": [
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"## Environment Setup\n",
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"\n",
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"We'll need to get an [Anthropic](https://console.anthropic.com/settings/keys) API key and set the `ANTHROPIC_API_KEY` environment variable:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "035dea0f",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"import os\n",
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"from getpass import getpass\n",
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"\n",
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"if \"ANTHROPIC_API_KEY\" not in os.environ:\n",
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" os.environ[\"ANTHROPIC_API_KEY\"] = getpass()"
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]
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},
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{
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"cell_type": "markdown",
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"id": "1891df96eb076e1a",
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"metadata": {
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"collapsed": false
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},
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"source": [
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"## Usage"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "98f70927a87e4745",
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'\\nLangChain is a decentralized blockchain network that leverages AI and machine learning to provide language translation services.'"
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]
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},
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"from langchain_anthropic import AnthropicLLM\n",
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"from langchain_core.prompts import PromptTemplate\n",
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"\n",
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"template = \"\"\"Question: {question}\n",
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"\n",
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"Answer: Let's think step by step.\"\"\"\n",
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"\n",
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"prompt = PromptTemplate.from_template(template)\n",
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"\n",
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"model = AnthropicLLM(model=\"claude-2.1\")\n",
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"\n",
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"chain = prompt | model\n",
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"\n",
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"chain.invoke({\"question\": \"What is LangChain?\"})"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3.11.1 64-bit",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.4"
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},
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"vscode": {
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"interpreter": {
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"hash": "e971737741ff4ec9aff7dc6155a1060a59a8a6d52c757dbbe66bf8ee389494b1"
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}
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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