lambdaprompt 0.0.0

A functional programming interface for building AI systems

λprompt - Functional programming interface for building AI systems

lambdaprompt is a python package, ...

Getting started

Install pip install lambdaprompt

For using openAI, set up API keys as environment variables or set after importing OPENAI_API_KEY=... import lambdaprompt; lambdaprompt.setup(openai_api_key=’...’)

Try it out in colab [link]

Library demos and examples

[[ See Here ]]

How to

Map

prompt.map([“yes”, “no”])

Reduce

prompt.reduce(...)

Composition

…

For Pandas Users (Useful for data processing)

df.prompt.apply(...)

Making Prompts

LLM JINJA templates

prompt = LLM(“goal of prompt”, “””
{{ template }}
… 
“””

Decorator

@promptify
def excalamation(arg):
    return arg+"!"*10

Advanced usage

Pre-and-post call hooks (tracing and logging) [see example]

lambdaprompt.register(pre=print, post=print)

Design Patterns

• Response Optimization
  • Ideation, Scoring and Selection
  • Error Correcting Language Loops
• Summarization and Aggregations
  • Rolling
  • k-tree
• Meta-Prompting

Contributions are welcome

Contributing

To add: An issue template

To add: A pull request template

TODO: Check all dependent prompts in the library via signature-check are correct This ensures that when someone changes an upstream prompt, they must at least see all dependent prompts that they should update.