Crate llm_chain

🚀 llm-chain 🚀

llm-chain is the ultimate toolbox for developers looking to supercharge their applications with the power of Large Language Models (LLMs)! 🎉

This super handy crate lets you chain together LLMs, which is incredibly useful for:

• Summarizing lengthy documents with ease 📚
• Chaining together multiple prompts to tackle complex tasks like a boss 😎

But wait, there’s more! llm-chain is also your best friend when it comes to creating and managing prompts for LLMs. No more hassle, no more bloated syntax! Quickly create and manage prompts with our templating system, and let llm-chain do the rest! 🤩

Heads up! This crate is just a library, meaning it doesn’t come with any LLMs included. But don’t worry! We also make the llm-chain-openai crate, which brings the power of OpenAI’s LLMs to your fingertips! 🪄 You should probably start with that crate. 😉

So, gear up, and enjoy the amazing world of LLMs! Get ready to unlock the full potential of your applications with llm-chain! 🌈💥

Happy coding, and may your LLM adventures be both exciting and productive! 🥳🚀

Re-exports

• pub use prompt::PromptTemplate;
• pub use prompt::PromptTemplateError;

Modules

• chains
  This module contains submodules for various types of chains. Chains are powerful tools that allow you to connect multiple steps together in a sequence. They take a set of parameters and an executor, perform the steps, and return the result.
• frame
  A frame is the combination of a Step and an Executor. It wraps common behavior used by different chain types.
• output
• parsing
• prompt
  Prompts module
• schema
• serialization
  Envelope Serialization
• tokens
  Tokens Module
• tools
  Tool Access Module
• traits
  Traits Module
• vectorstores

Macros

• prompt
  Creates a TextPrompt or a ChatPrompt based on the number of arguments provided.

Structs

• Parameters
  Parameters define the parameters sent into each step. The parameters are used to fill in the prompt template, and are also filled in by the output of the previous step. Parameters have a special key, text, which is used as a default key for simple use cases.