3.6.4 • Published 5 months ago
@celljs/ai-deepseek v3.6.4
Cell - AI DeepSeek Component
概览
AI DeepSeek 模块是一个用于与 DeepSeek API 交互的库,提供了生成聊天响应和嵌入向量的功能。通过简单易用的 API 接口,支持消息的创建、请求的发送和响应的处理。是 @celljs/ai-core 模块中所有模型服务接口抽象的一种实现。
特性
- 生成聊天响应
- 生成嵌入向量
- 支持流式响应
- 支持多种模型参数配置
安装
使用 npm 安装 AI DeepSeek 模块:
npm install @celljs/ai-deepseek或者使用 yarn:
yarn add @celljs/ai-deepseek快速开始
以下是一个简单的示例,展示如何使用 AI DeepSeek 模块生成聊天响应和嵌入向量:
import { AssistantMessage, PromptTemplate } from '@celljs/ai-core';
import { DeepSeekChatModel, DeepSeekModel, } from '@celljs/ai-deepseek';
import { Component Autowired } from '@celljs/core';
@Component()
export class DeepSeekDemo {
@Autowired(DeepSeekChatModel)
private deepSeekChatModel: DeepSeekChatModel;
@Autowired(DeepSeekEmbeddingModel)
private deepSeekEmbeddingModel: DeepSeekEmbeddingModel;
@Autowired(PromptTemplate)
private promptTemplate: PromptTemplate;
/**
* Chat with DeepSeek
*/
async chat() {
const prompt = await this.promptTemplate.create(
'Hello {name}',
{
chatOptions: { model: DeepSeekModel.DEEPSEEK_CHAT },
variables: { name: 'DeepSeek' }
}
);
const response = await this.deepSeekChatModel.call(prompt);
console.log(response.result.output);
}
/**
* Stream chat response
*/
async stream() {
const prompt = await this.promptTemplate.create(
'Hello {name}',
{
chatOptions: { model: DeepSeekModel.DEEPSEEK_CHAT },
variables: { name: 'DeepSeek' }
}
);
const response$ = await this.deepSeekChatModel.stream(prompt);
response$.subscribe({
next: response => console.log(response.result.output),
complete: () => console.log('Chat completed!')
});
}
/**
* Embed text to vector
*/
async embed() {
const response = await this.deepSeekEmbeddingModel.call({
inputs: ['text to embed'],
options: { model: DeepSeekModel.XXX }
});
console.log(response.result.embeddings);
}
}许可证
本项目采用 MIT 许可证。
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