Get Started With Langchain Prompt Templates

Practical examples of Langchain prompt templates in Python

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In the majority of cases, LLM applications don’t directly input user input into an LLM. Instead, they utilize a larger piece of text known as a “prompt template” to include the user input along with additional context related to the specific task. They encapsulate all the necessary logic to transform user input into a fully formatted prompt. Let’s start with some prompt templates:

Single Input Prompt

from langchain.llms import OpenAI
from langchain.chat_models import ChatOpenAI
from langchain.prompts import PromptTemplate
 
llm = OpenAI(model_name='text-davinci-003')
chat = ChatOpenAI()
 
 
single_input_prompt = PromptTemplate(input_variables = ['product'],
                                template = 'What is a good name for a company that makes {product}?')
 
 
single_input_prompt.format(product='colorful socks')

'What is a good name for a company that makes colorful socks?'

 
print(llm(single_input_prompt.format(product='colorful socks')))

'Socktastic!'

Multi-Input Prompt

We can easily add more parameters as follows:

multi_input_prompt =…