Volc Engine Maas

This notebook provides you with a guide on how to get started with Volc Engine's MaaS llm models.

# Install the package
%pip install --upgrade --quiet  volcengine

from langchain_community.llms import VolcEngineMaasLLM
from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompts import PromptTemplate

API Reference:VolcEngineMaasLLM | StrOutputParser | PromptTemplate

llm = VolcEngineMaasLLM(volc_engine_maas_ak="your ak", volc_engine_maas_sk="your sk")

or you can set access_key and secret_key in your environment variables

export VOLC_ACCESSKEY=YOUR_AK
export VOLC_SECRETKEY=YOUR_SK

chain = PromptTemplate.from_template("给我讲个笑话") | llm | StrOutputParser()
chain.invoke({})

'好的，下面是一个笑话：\n\n大学暑假我配了隐形眼镜，回家给爷爷说，我现在配了隐形眼镜。\n爷爷让我给他看看，于是，我用小镊子夹了一片给爷爷看。\n爷爷看完便准备出门，边走还边说：“真高级啊，还真是隐形眼镜！”\n等爷爷出去后我才发现，我刚没夹起来！'

Related

• LLM conceptual guide
• LLM how-to guides