模块 const { Configuration, OpenAIApi } = require("openai"); const configuration = new Configuration({ apiKey: ApiKey, }); const openai = new OpenAIApi(configuration); async function getModalList() { 模块 const { Configuration, OpenAIApi } = require("openai"); const configuration = new Configuration({ apiKey: ApiKey, }); const openai = new OpenAIApi(configuration); async function completions() { const hope to one day create works that inspire, entertain, and enlighten others.`; const { Configuration, OpenAIApi
第七课:GPT 接入微信机器人 OpenAI API 调动控制器代码 // /controller/openai.js const { Configuration, OpenAIApi } = require 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" const configuration = new Configuration({ apiKey }) const openAIApi = new OpenAIApi(configuration) /** * 保存用户发送到chatgpt的消息信息 * prompts 数据结构: * { * wxopenid: [ * fromusername, prompt) { const messages = savePrompt(fromusername, prompt) const completion = await openAIApi.createChatCompletion
model,ChatClient will be initialize after model being configured"); } } 4、重点来了,动态切换API Key的实现 通过OpenAiApi buildOrUpdateChatClient(ModelConfig model) { Map<String, String> headers = model.getRequestHeaders(); OpenAiApi openAiApi = OpenAiApi.builder() .baseUrl(model.getBaseUrl()) .apiKey(model.getApiKey chatOptions.setHttpHeaders(headers); } OpenAiChatModel openAiChatModel = OpenAiChatModel.builder() .openAiApi (openAiApi) .defaultOptions(chatOptions) .build(); ChatClient client = ChatClient.builder
OpenAiApi我们第一步将直接查看 OpenAIApi 类,这是与接口最为密切相关的核心类。首先,我们会关注它的构造器部分,因为在构造器中,基本包含了与接口交互所需的最主要依赖和配置信息。 接下来,大家可以看到下面这段代码:public OpenAiApi(String baseUrl, String apiKey, MultiValueMap<String, String> headers 接下来,我们来一起看一下这段关键代码:public static final OpenAiApi.ChatModel DEFAULT_CHAT_MODEL = ChatModel.GPT_4_O;public 虽然我们没有深入细节,但通过对OpenAiApi类、RestClient、WebClient及相关请求参数的分析,大家应该对接口的工作原理有了一个大致的认识。
调用ChatGPT生成图片: 修改router文件夹下的index.js,完整内容如下: import Router from 'koa-router' import { Configuration, OpenAIApi apiKey: "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" }); const openai = new OpenAIApi 内容如下: import { Configuration, OpenAIApi } from 'openai' export class OpenAIController{ constructor apiKey: "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" }); this.openai = new OpenAIApi
openai.api_key = os.getenv("OPENAI_API_KEY") openai.Model.list() Node.js 包的示例:openai import { Configuration, OpenAIApi Configuration({ organization: "YOUR_ORG_ID", apiKey: process.env.OPENAI_API_KEY, }); const openai = new OpenAIApi
StringUtils.isBlank(completionsPath)) { completionsPath = "/v1/chat/completions"; } OpenAiApi openAiApi = new OpenAiApi(baseUrl, apiKey, completionsPath, "/v1/embeddings", RestClient.builder RetryUtils.DEFAULT_RESPONSE_ERROR_HANDLER); OpenAiChatModel openAiChatModel = new OpenAiChatModel(openAiApi
LoggerFactory.getLogger(SpringAiToolTest.class); public static void main(String[] args) { OpenAiApi openAiApi = OpenAiApi.builder() .baseUrl("https://apis.***.cn") .apiKey .build(); ChatModel chatModel = OpenAiChatModel.builder() .openAiApi (openAiApi) .defaultOptions(OpenAiChatOptions.builder() .model
getContextClassLoader(); Resource resource = new ClassPathResource("dog.png", classLoader); OpenAiApi openAiApi = OpenAiApi.builder() .baseUrl("https://models.github.ai/inference") .build(); ChatModel chatModel = OpenAiChatModel.builder() .openAiApi (openAiApi) .defaultOptions(OpenAiChatOptions.builder() .model
示例代码如下: import com.openai.OpenAiApi; import com.openai.model.ChatCompletionRequest; import com.openai.model.ChatCompletionResponse Value("${openai.api.key}") private String apiKey; public String chat(String message) { OpenAiApi openAiApi = new OpenAiApi(apiKey); ChatCompletionRequest request = new ChatCompletionRequest ChatCompletionResponse response = openAiApi.chatCompletion(request); // 处理Chat接口的响应,返回对话结果
isProxyToolCalls(prompt, this.defaultOptions) && isToolCall(response, Set.of(OpenAiApi.ChatCompletionFinishReason.TOOL_CALLS.name (), OpenAiApi.ChatCompletionFinishReason.STOP.name()))) { var toolCallConversation prompt); isToolCall = this.functionCallingHelper.isToolCall(chatResponse, Set.of(OpenAiApi.ChatCompletionFinishReason.TOOL_CALLS.name (), OpenAiApi.ChatCompletionFinishReason.STOP.name())); if (isToolCall)
org.springframework.ai.openai.OpenAiChatModel; import org.springframework.ai.openai.OpenAiChatOptions; import org.springframework.ai.openai.api.OpenAiApi DeepSeekModel create(String modelName) { // 创建自定义的 OpenAI API 配置,指向 DeepSeek 的 API OpenAiApi openAiApi =OpenAiApi.builder().apiKey(API_KEY).baseUrl(API_URL).build(); // 创建 OpenAI Chat Chat 模型实例 OpenAiChatModel chatModel =OpenAiChatModel.builder().defaultOptions(chatOptions).openAiApi (openAiApi).build(); return new DeepSeekModel(modelName, chatModel); } @Override
这不就来了吗~ 开始 你所需要准备的一个OpenAI 的密钥和一点点代码来发送提示并返回结果,例如下面这段代码: import { OpenAIApi, Configuration } from 'openai ' const openAi = new OpenAIApi( new Configuration({ apiKey: YOUR_KEY }) // openAi 密钥 ); async function
openai.api_key = os.getenv("OPENAI_API_KEY") openai.Model.list() 3.2 Node.js演示 import { Configuration, OpenAIApi organization: "org-Hvsg2rpCBmVfIf9rzK6eJZQH", apiKey: process.env.OPENAI_API_KEY, }); const openai = new OpenAIApi
一、先别想太多:用OpenAIAPI,把“第一个机器人”跑起来我一直有个观点:别一上来就“自研大模型”,那不是勇敢,是容易烂尾。 五、把自托管模型“伪装”成OpenAIAPI,是个关键技巧为什么这么做?因为你不想改一堆业务代码。 answer=tokenizer.decode(outputs[0],skip_special_tokens=True)return{"reply":answer}然后你在业务侧,只需要切换一个URL:原来:OpenAIAPI
openai.api_key = os.getenv("OPENAI_API_KEY") openai.Model.list() Node.js演示 import { Configuration, OpenAIApi organization: "org-Hvsg2rpCBmVfIf9rzK6eJZQH", apiKey: process.env.OPENAI_API_KEY, }); const openai = new OpenAIApi
而且还配有视频供大家学习调用 图片 安装 如果你熟悉node,你可以直接创建一个项目进行安装尝试 npm install openai 使用 调用api接口 const { Configuration, OpenAIApi const configuration = new Configuration({ apiKey: process.env.OPENAI_API_KEY, }); const openai = new OpenAIApi
这不就来了吗~开始你所需要准备的一个OpenAI 的密钥和一点点代码来发送提示并返回结果,例如下面这段代码:import { OpenAIApi, Configuration } from 'openai'const openAi = new OpenAIApi( new Configuration({ apiKey: YOUR_KEY }) // openAi 密钥);async function askGpt
CHAT_MEMORY_RETRIEVE_SIZE_KEY = "chat_memory_response_size"; @Before public void init() { OpenAiApi openAiApi = OpenAiApi.builder() .baseUrl("https://apis.itedus.cn") . embeddings") .build(); chatModel = OpenAiChatModel.builder() .openAiApi (openAiApi) .defaultOptions(OpenAiChatOptions.builder() .model
然而如今,国内大模型公司已经第一时间行动起来:智谱下午宣布,其面向OpenAIAPI用户提供“特别搬家计划”,同时,硅基流动把一大批模型都免费了。 然而,实际上,OpenAIAPI停服这件事对于国内影响有限,主要原因在于国内大模型网站都需经过备案和审批,很多依赖OpenAl技术的中国公司都是将GPTAPI部署在海外站点所以,对于中国来说,更应该警惕的是