{ "cells": [ { "cell_type": "markdown", "id": "9597802c", "metadata": {}, "source": [ "# Anthropic\n", "This example goes over how to use LangChain to interact with Anthropic models" ] }, { "cell_type": "code", "execution_count": 1, "id": "6fb585dd", "metadata": {}, "outputs": [], "source": [ "from langchain.llms import Anthropic\n", "from langchain import PromptTemplate, LLMChain" ] }, { "cell_type": "code", "execution_count": 2, "id": "035dea0f", "metadata": {}, "outputs": [], "source": [ "template = \"\"\"Question: {question}\n", "\n", "Answer: Let's think step by step.\"\"\"\n", "\n", "prompt = PromptTemplate(template=template, input_variables=[\"question\"])" ] }, { "cell_type": "code", "execution_count": 3, "id": "3f3458d9", "metadata": {}, "outputs": [], "source": [ "llm = Anthropic()" ] }, { "cell_type": "code", "execution_count": 4, "id": "a641dbd9", "metadata": {}, "outputs": [], "source": [ "llm_chain = LLMChain(prompt=prompt, llm=llm)" ] }, { "cell_type": "code", "execution_count": 5, "id": "9f844993", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "\" Step 1: Justin Beiber was born on March 1, 1994\\nStep 2: The NFL season ends with the Super Bowl in January/February\\nStep 3: Therefore, the Super Bowl that occurred closest to Justin Beiber's birth would be Super Bowl XXIX in 1995\\nStep 4: The San Francisco 49ers won Super Bowl XXIX in 1995\\n\\nTherefore, the answer is the San Francisco 49ers won the Super Bowl in the year Justin Beiber was born.\"" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "question = \"What NFL team won the Super Bowl in the year Justin Beiber was born?\"\n", "\n", "llm_chain.run(question)" ] }, { "cell_type": "code", "execution_count": null, "id": "4797d719", "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": "3.9.1" } }, "nbformat": 4, "nbformat_minor": 5 }