{"cells": [{"cell_type": "markdown", "id": "9dced1fd-2db9-4b4e-88f5-bd65563ec1a6", "metadata": {}, "source": ["# Vertex AI\n", "## 安装 Vertex AI\n", "要安装 Vertex AI，您需要按照以下步骤进行操作：\n", "* 安装 Vertex Cloud SDK（https://googleapis.dev/python/aiplatform/latest/index.html）\n", "* 设置默认项目、凭据和区域\n", "# 服务账号的基本身份验证示例\n"]}, {"cell_type": "code", "execution_count": null, "id": "e25b1ac2", "metadata": {}, "outputs": [], "source": ["%pip install llama-index-llms-vertex"]}, {"cell_type": "code", "execution_count": null, "id": "3d42f4996210bdc7", "metadata": {}, "outputs": [], "source": ["from llama_index.llms.vertex import Vertex\n", "from google.oauth2 import service_account\n", "\n", "filename = \"vertex-407108-37495ce6c303.json\"\n", "credentials: service_account.Credentials = (\n", "    service_account.Credentials.from_service_account_file(filename)\n", ")\n", "Vertex(\n", "    model=\"text-bison\", project=credentials.project_id, credentials=credentials\n", ")"]}, {"cell_type": "markdown", "id": "119bbfb7d84a593d", "metadata": {}, "source": ["## 基本用法\n", "对text-bison模型的基本调用\n"]}, {"cell_type": "code", "execution_count": null, "id": "bf7deb10-28fe-41f2-abda-283162e9f35b", "metadata": {}, "outputs": [{"data": {"text/plain": ["' ```\\nHello this is a sample text\\n```'"]}, "execution_count": null, "metadata": {}, "output_type": "execute_result"}], "source": ["from llama_index.llms.vertex import Vertex\n", "from llama_index.core.llms import ChatMessage, MessageRole\n", "\n", "llm = Vertex(model=\"text-bison\", temperature=0, additional_kwargs={})\n", "llm.complete(\"Hello this is a sample text\").text"]}, {"cell_type": "markdown", "id": "c3afe813-a5cb-4175-bf9c-5484b2da0a9b", "metadata": {}, "source": ["## 异步用法\n", "### 异步\n"]}, {"cell_type": "code", "execution_count": null, "id": "7916602b-4f97-43bb-85a9-ac683bc962f3", "metadata": {}, "outputs": [{"data": {"text/plain": ["' Hello! How can I help you?'"]}, "execution_count": null, "metadata": {}, "output_type": "execute_result"}], "source": ["(await llm.acomplete(\"hello\")).text"]}, {"cell_type": "markdown", "id": "2cfd0b78-b779-4390-96f7-99ff60087786", "metadata": {}, "source": ["# 流式使用\n", "### 流式\n"]}, {"cell_type": "code", "execution_count": null, "id": "ef4765c5-ec6a-4109-8453-c9f76396d572", "metadata": {}, "outputs": [{"data": {"text/plain": ["' Hello! How can I help you?'"]}, "execution_count": null, "metadata": {}, "output_type": "execute_result"}], "source": ["list(llm.stream_complete(\"hello\"))[-1].text"]}, {"cell_type": "markdown", "id": "ce5d9453-6465-489e-b205-a25a3da37dde", "metadata": {}, "source": ["# 聊天使用\n", "### 聊天生成\n"]}, {"cell_type": "code", "execution_count": null, "id": "2b8861d4-a151-4a5d-8a6f-d24e284009c3", "metadata": {}, "outputs": [], "source": ["chat = Vertex(model=\"chat-bison\")\n", "messages = [\n", "    ChatMessage(role=MessageRole.SYSTEM, content=\"Reply everything in french\"),\n", "    ChatMessage(role=MessageRole.USER, content=\"Hello\"),\n", "]"]}, {"cell_type": "code", "execution_count": null, "id": "f2286016-9d58-468d-a9a2-571ad90066ad", "metadata": {}, "outputs": [{"data": {"text/plain": ["' Bonjour! Comment vas-tu?'"]}, "execution_count": null, "metadata": {}, "output_type": "execute_result"}], "source": ["chat.chat(messages=messages).message.content"]}, {"cell_type": "markdown", "id": "b830d59e-12f6-4ef7-b1ce-e71408ae3cbb", "metadata": {}, "source": ["# 异步聊天\n", "### 异步聊天响应\n"]}, {"cell_type": "code", "execution_count": null, "id": "2920968a-9566-4964-b468-9a5899f42e61", "metadata": {}, "outputs": [{"data": {"text/plain": ["' Bonjour! Comment vas-tu?'"]}, "execution_count": null, "metadata": {}, "output_type": "execute_result"}], "source": ["(await chat.achat(messages=messages)).message.content"]}, {"cell_type": "markdown", "id": "632585b4-f146-492c-bb16-30e8b64e2d52", "metadata": {}, "source": ["# 流式聊天\n", "### 流式聊天响应\n"]}, {"cell_type": "code", "execution_count": null, "id": "9ee22376-317a-4bda-a20e-5d54f88503f7", "metadata": {}, "outputs": [{"data": {"text/plain": ["' Bonjour! Comment vas-tu?'"]}, "execution_count": null, "metadata": {}, "output_type": "execute_result"}], "source": ["list(chat.stream_chat(messages=messages))[-1].message.content"]}, {"cell_type": "markdown", "id": "e24abcf3278f5ee6", "metadata": {}, "source": ["# Gemini模型\n", "完全支持使用Vertex AI调用Google Gemini模型。\n", "### Gemini Pro\n"]}, {"cell_type": "code", "execution_count": null, "id": "2b900308342b19be", "metadata": {}, "outputs": [], "source": ["llm = Vertex(\n", "    model=\"gemini-pro\", project=credentials.project_id, credentials=credentials\n", ")\n", "llm.complete(\"Hello Gemini\").text"]}, {"cell_type": "markdown", "id": "b840065e0312fd46", "metadata": {}, "source": ["### Gemini Pro Vision\n"]}, {"cell_type": "code", "execution_count": null, "id": "1a9f12769bdeca6f", "metadata": {}, "outputs": [], "source": ["history = [\n", "    ChatMessage(\n", "        role=\"user\",\n", "        content=[\n", "            {\"type\": \"text\", \"text\": \"Explain what is in the image below:\"},\n", "            {\n", "                \"type\": \"image_url\",\n", "                \"image_url\": 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\",\n", "            },\n", "        ],\n", "    ),\n", "]\n", "llm = Vertex(\n", "    model=\"gemini-pro-vision\",\n", "    project=credentials.project_id,\n", "    credentials=credentials,\n", ")\n", "llm.chat(history).message.content"]}], "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"}}, "nbformat": 4, "nbformat_minor": 5}