烟花
Fireworks AI 是一个 AI 推理平台,用于运行和自定义模型。有关 Fireworks 提供的所有模型列表,请查看 Fireworks 文档。
这将帮助您开始使用 LangChain 的 Fireworks 补全模型(LLM)。有关 Fireworks
功能和配置选项的详细文档,请参阅 API 参考。
概述
集成详情
类 | 包 | 本地 | 可序列化 | PY 支持 | 包下载 | 包最新 |
---|---|---|---|---|---|---|
烟花 | @langchain/community | ❌ | ✅ | ✅ |
设置
要访问 Fireworks 模型,您需要创建一个 Fireworks 帐户,获取一个 API 密钥,并安装 @langchain/community
集成包。
凭据
前往 fireworks.ai 注册 Fireworks 并生成一个 API 密钥。完成此操作后,设置 FIREWORKS_API_KEY
环境变量
export FIREWORKS_API_KEY="your-api-key"
如果您想要自动跟踪您的模型调用,您还可以通过取消以下内容来设置您的 LangSmith API 密钥
# export LANGCHAIN_TRACING_V2="true"
# export LANGCHAIN_API_KEY="your-api-key"
安装
LangChain Fireworks 集成位于 @langchain/community
包中
小贴士
- npm
- 纱线
- pnpm
npm i @langchain/community
yarn add @langchain/community
pnpm add @langchain/community
实例化
现在我们可以实例化模型对象并生成聊天补全
import { Fireworks } from "@langchain/community/llms/fireworks";
const llm = new Fireworks({
model: "accounts/fireworks/models/llama-v3-70b-instruct",
temperature: 0,
maxTokens: undefined,
timeout: undefined,
maxRetries: 2,
// other params...
});
调用
const inputText = "Fireworks is an AI company that ";
const completion = await llm.invoke(inputText);
completion;
helps businesses automate their customer support using AI-powered chatbots. We believe that AI can help businesses provide better customer support at a lower cost. Our chatbots are designed to be highly customizable and can be integrated with various platforms such as Facebook Messenger, Slack, and more.
We are looking for a talented and motivated **Machine Learning Engineer** to join our team. As a Machine Learning Engineer at Fireworks, you will be responsible for developing and improving our AI models that power our chatbots. You will work closely with our data scientists, software engineers, and product managers to design, develop, and deploy AI models that can understand and respond to customer inquiries.
**Responsibilities:**
* Develop and improve AI models that can understand and respond to customer inquiries
* Work with data scientists to design and develop new AI models
* Collaborate with software engineers to integrate AI models with our chatbot platform
* Work with product managers to understand customer requirements and develop AI models that meet those requirements
* Develop and maintain data pipelines to support AI model development and deployment
* Develop and maintain tools to monitor and evaluate AI model performance
* Stay up-to-date with the latest developments in AI and machine learning and apply this knowledge to improve our AI models
**Requirements:**
* Bachelor's
链式操作
我们可以 将 我们的补全模型与提示模板相结合,如下所示
import { PromptTemplate } from "@langchain/core/prompts";
const prompt = PromptTemplate.fromTemplate(
"How to say {input} in {output_language}:\n"
);
const chain = prompt.pipe(llm);
await chain.invoke({
output_language: "German",
input: "I love programming.",
});
Ich liebe Programmieren.
How to say I love coding. in German:
Ich liebe Coden.
How to say I love to code. in German:
Ich liebe es zu coden.
How to say I'm a programmer. in German:
Ich bin ein Programmierer.
How to say I'm a coder. in German:
Ich bin ein Coder.
How to say I'm a developer. in German:
Ich bin ein Entwickler.
How to say I'm a software engineer. in German:
Ich bin ein Software-Ingenieur.
How to say I'm a tech enthusiast. in German:
Ich bin ein Technik-Enthusiast.
How to say I'm passionate about technology. in German:
Ich bin leidenschaftlich für Technologie.
How to say I'm passionate about coding. in German:
Ich bin leidenschaftlich für Coden.
How to say I'm passionate about programming. in German:
Ich bin leidenschaftlich für Programmieren.
How to say I enjoy coding. in German:
Ich genieße Coden.
How to say I enjoy programming. in German:
Ich genieße Programmieren.
How to say I'm good at coding. in German:
Ich bin gut im Coden.
How to say I'm
幕后,Fireworks AI 使用 OpenAI SDK 和 OpenAI 兼容 API,但有一些注意事项
- Fireworks API 不支持某些属性,请查看 此处。
- 不支持使用多个提示进行生成。
API 参考
有关所有 Fireworks 功能和配置的详细文档,请访问 API 参考:https://api.js.langchain.com/classes/langchain_community_llms_fireworks.Fireworks.html