From cf2789d86d16cf33ff0cef03de40cdfdf6ec83af Mon Sep 17 00:00:00 2001 From: Harrison Chase Date: Sat, 15 Apr 2023 08:48:51 -0700 Subject: [PATCH] delete antropic chat notebook (#2945) --- .../models/chat/integrations/anthropic.ipynb | 171 ------------------ 1 file changed, 171 deletions(-) delete mode 100644 docs/modules/models/chat/integrations/anthropic.ipynb diff --git a/docs/modules/models/chat/integrations/anthropic.ipynb b/docs/modules/models/chat/integrations/anthropic.ipynb deleted file mode 100644 index 57cbf488..00000000 --- a/docs/modules/models/chat/integrations/anthropic.ipynb +++ /dev/null @@ -1,171 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "bf733a38-db84-4363-89e2-de6735c37230", - "metadata": {}, - "source": [ - "# Anthropic\n", - "\n", - "This notebook covers how to get started with Anthropic chat models." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "d4a7c55d-b235-4ca4-a579-c90cc9570da9", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "from langchain.chat_models import ChatAnthropic\n", - "from langchain.prompts.chat import (\n", - " ChatPromptTemplate,\n", - " SystemMessagePromptTemplate,\n", - " AIMessagePromptTemplate,\n", - " HumanMessagePromptTemplate,\n", - ")\n", - "from langchain.schema import (\n", - " AIMessage,\n", - " HumanMessage,\n", - " SystemMessage\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "70cf04e8-423a-4ff6-8b09-f11fb711c817", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "chat = ChatAnthropic()" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "8199ef8f-eb8b-4253-9ea0-6c24a013ca4c", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "text/plain": [ - "AIMessage(content=\" J'adore programmer.\", additional_kwargs={})" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "messages = [\n", - " HumanMessage(content=\"Translate this sentence from English to French. I love programming.\")\n", - "]\n", - "chat(messages)" - ] - }, - { - "cell_type": "markdown", - "id": "c361ab1e-8c0c-4206-9e3c-9d1424a12b9c", - "metadata": {}, - "source": [ - "## `ChatAnthropic` also supports async and streaming functionality:" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "93a21c5c-6ef9-4688-be60-b2e1f94842fb", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "from langchain.callbacks.base import CallbackManager\n", - "from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "c5fac0e9-05a4-4fc1-a3b3-e5bbb24b971b", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "text/plain": [ - "LLMResult(generations=[[ChatGeneration(text=\" J'aime programmer.\", generation_info=None, message=AIMessage(content=\" J'aime programmer.\", additional_kwargs={}))]], llm_output={})" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "await chat.agenerate([messages])" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "025be980-e50d-4a68-93dc-c9c7b500ce34", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " J'aime la programmation." - ] - }, - { - "data": { - "text/plain": [ - "AIMessage(content=\" J'aime la programmation.\", additional_kwargs={})" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "chat = ChatAnthropic(streaming=True, verbose=True, callback_manager=CallbackManager([StreamingStdOutCallbackHandler()]))\n", - "chat(messages)" - ] - } - ], - "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": "3.10.9" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -}