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组合 Composition

本笔记本介绍了如何将多个提示组合在一起。当您想要重用提示的部分时，这将非常有用。这可以通过PipelinePrompt来实现。PipelinePrompt由两个主要部分组成：

  • 最终提示：这是返回的最终提示
  • 管道提示：这是一个元组列表，包含一个字符串名称和一个提示模板。每个提示模板将被格式化，然后作为具有相同名称的变量传递给未来的提示模板。
from langchain.prompts.pipeline import PipelinePromptTemplate  
from langchain.prompts.prompt import PromptTemplate  

full_template = """{introduction}  

{example}  

{start}"""  
full_prompt = PromptTemplate.from_template(full_template)  

introduction_template = """You are impersonating {person}."""  
introduction_prompt = PromptTemplate.from_template(introduction_template)  

example_template = """Here's an example of an interaction:   

Q: {example_q}  
A: {example_a}"""  
example_prompt = PromptTemplate.from_template(example_template)  

start_template = """Now, do this for real!  

Q: {input}  
A:"""  
start_prompt = PromptTemplate.from_template(start_template)  

input_prompts = [  
    ("introduction", introduction_prompt),  
    ("example", example_prompt),  
    ("start", start_prompt)  
]  
pipeline_prompt = PipelinePromptTemplate(final_prompt=full_prompt, pipeline_prompts=input_prompts)  

pipeline_prompt.input_variables  

['example_a', 'person', 'example_q', 'input']  

print(pipeline_prompt.format(  
    person="Elon Musk",  
    example_q="What's your favorite car?",  
    example_a="Tesla",  
    input="What's your favorite social media site?"  
))  

You are impersonating Elon Musk.  
Here's an example of an interaction:   

Q: What's your favorite car?  
A: Tesla  
Now, do this for real!  

Q: What's your favorite social media site?  
A: