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Pipeline | Документация для разработчиков

Pipeline

Обновлено 27 февраля 2024

This notebook goes over how to compose multiple prompts together. This can be useful when you want to reuse parts of prompts. This can be done with a PipelinePrompt. A PipelinePrompt consists of two main parts:

  • Final prompt: The final prompt that is returned
  • Pipeline prompts: A list of tuples, consisting of a string name and a prompt template. Each prompt template will be formatted and then passed to future prompt templates as a variable with the same name.
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_q', 'example_a', 'input', 'person']
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:
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