Pantheons：用 TypeScript 打造主流大模型对话的一站式集成库
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<h1>Pantheons：用 TypeScript 打造主流大模型对话的一站式集成库</h1>
<h2>前言</h2>
<p>在 AI 飞速发展的时代，大型语言模型（LLMs）逐渐成为推动技术进步的重要力量。无论是自然语言处理、文本生成，还是智能问答和代码辅助，LLMs 的应用场景正在不断扩展，各种模型层出不穷。然而，面对种类繁多的模型和各自不同的接口标准，开发者在集成和管理这些模型时往往会面临复杂性和兼容性的问题。</p>
<p><code>Pantheons</code> 的诞生正是为了解决这一痛点。它是一个使用 TypeScript 基于 OpenAI Node.js SDK 构建的统一对话库，旨在为开发者提供一个简洁、高效的接口，方便与多个大型语言模型（LLMs）进行交互。通过 Pantheons，开发者可以轻松集成 OpenAI、DeepSeek、DashScope、Gemini 等主流语言模型，无需担心底层差异，专注于实现自己的业务逻辑。</p>
<h2>功能特性</h2>
<ul>
<li>统一接口设计：所有模型基于 OpenAI Node.js SDK 构建；共享相同的调用方式，大幅降低学习成本</li>
<li>类型安全：基于 TypeScript 构建，提供完整的类型定义，让开发更加顺畅</li>
<li>支持多种模型：目前支持十几种主流大语言模型，包括 OpenAI、Azure OpenAI、通义千问、文心一言、腾讯混元、Google Gemini 等，覆盖几乎所有主流云端和本地 LLM 服务。</li>
<li>适配多种运行环境：支持 Node.js, Bun 和 Web 等多种运行时环境，适配性强。</li>
</ul>
<h2>支持的大模型</h2>
<ul>
<li>OpenAI</li>
<li>Azure OpenAI</li>
<li>通义千问(DashScope)</li>
<li>腾讯混元(HunYuan)</li>
<li>月之暗面(Moonshot)</li>
<li>硅基流动(SiliconFlow)</li>
<li>DeepSeek</li>
<li>文心一言(QianFan)</li>
<li>Gemini</li>
<li>Ollama</li>
<li>智谱清言(ZhiPu)</li>
<li>XAI</li>
<li>零一万物(LingYiWanWu)</li>
<li>MiniMax</li>
<li>讯飞星火(Spark)</li>
<li>Anthropic(Claude)</li>
</ul>
<h2>使用方法</h2>
<h4>Nodejs</h4>
<pre><code>
import { DeepSeek } from 'pantheons';
(async () => {
const client = new DeepSeek('Your key');
const stream = await client.stream({
model: 'deepseek-chat',
stream: true,
messages: [{ role: 'user', content: 'Hi!' }],
});
let result = '';
for await (const chunk of stream) {
result += chunk.choices.delta?.content;
}
console.log(result);
})();
</code>
</pre>
<h4>Bun</h4>
<pre><code>
import { DeepSeek } from '@greywen/pantheons';
const client = new DeepSeek('Your key');
const stream = await client.stream({
model: 'deepseek-chat',
stream: true,
messages: [{ role: 'user', content: 'Hi!' }],
});
let result = '';
for await (const chunk of stream) {
result += chunk.choices.delta?.content;
}
console.log(result);
</code>
</pre>
<h4>多模型</h4>
<pre><code>
import { DashScope, Moonshot, DeepSeek } from 'pantheons';
const deepSeekClient = new DeepSeek('Your key');
const dashScopeClient = new DashScope('Your key');
const moonshotClient = new Moonshot('Your key');
const messages = [{ role: 'user', content: 'Hi!' }];
const deepSeekStream = await dashScopeClient.stream({
model: 'deepseek-chat',
stream: true,
messages,
});
const dashScopeStream = await dashScopeClient.stream({
model: 'qwen-max',
stream: true,
messages,
});
const moonshotStream = await moonshotClient.stream({
model: 'kimi-latest',
stream: true,
messages,
});
async function readStream(stream: AsyncIterable<any>, output: string[]) {
for await (const chunk of stream) {
const content = chunk.choices.delta?.content || '';
output.push(content);
}
}
const deepSeekOutput: string = [];
const dashScopeOutput: string[] = [];
const moonshotOutput: string[] = [];
await Promise.all([
readStream(deepSeekStream, deepSeekOutput),
readStream(dashScopeStream, dashScopeOutput),
readStream(moonshotStream, moonshotOutput),
]);
console.log(deepSeekOutput, dashScopeOutput, moonshotOutput);
</code>
</pre>
<h4>私有化部署URL</h4>
<pre><code>
import { Ollama } from 'pantheons';
client = new Ollama('Your Key', { baseURL: 'Your URL' });
const stream = await client.stream({
model: 'qwen2.5-coder:latest',
stream: true,
messages: [{ role: 'user', content: 'Hi!' }],
});
let actual = '';
for await (const chunk of stream) {
actual += chunk.choices.delta?.content;
}
console.log(actual);
</code>
</pre>
<h2>总结</h2>
<p>Pantheons 是一个面向多模型集成工具，借助其统一、高效的接口设计，开发者可以显著减少在多语言模型集成中的开发成本和时间。无论你是希望快速接入一个模型，还是需要在多个模型之间自由切换，Pantheons 都能成为你不可或缺的工具。</p>
<p>未来，Pantheons 将继续扩展更多模型的支持，同时优化性能与易用性，为开发者提供更强大的工具链。如果你正在寻找一个解决多模型集成痛点的方案，不妨试试 Pantheons。</p>
<p>欢迎广大开发者 Star 、提交 issue、贡献代码、参与讨论, 感谢！</p>
<p>同时也欢迎大家使用我们已发布的大模型项目 Sdcb Chats 如果您觉得有帮助请在 GitHub 上 Star 我们！您的支持是我们前进的动力。</p>
<p>再次感谢您的支持，期待未来为您带来更多惊喜！</p><br><br>
来源：https://www.cnblogs.com/greywen/p/18747300
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