Crate llm_toolkit 

‘llm-toolkit’ - A low-level Rust toolkit for the LLM last mile problem.

This library provides a set of sharp, reliable, and unopinionated “tools” for building robust LLM-powered applications in Rust. It focuses on solving the common and frustrating problems that occur at the boundary between a strongly-typed Rust application and the unstructured, often unpredictable string-based responses from LLM APIs.

Re-exports

pub use attachment::Attachment;

pub use attachment::AttachmentSchema;

pub use attachment::ToAttachments;

pub use extract::FlexibleExtractor;

pub use extract::MarkdownCodeBlockExtractor;

pub use intent::frame::IntentFrame;

pub use intent::IntentError;

pub use intent::IntentExtractor;

pub use intent::PromptBasedExtractor;Deprecated

pub use multimodal::ImageData;

pub use prompt::PromptPart;

pub use prompt::PromptSetError;

pub use prompt::ToPrompt;

pub use prompt::ToPromptFor;

pub use prompt::ToPromptSet;

Modules

attachment

Attachment types for multimodal workflows.

extract

intent

Traits and implementations for extracting structured intents from LLM responses.

multimodal

Multimodal support for prompts, including image data handling.

prompt

A trait and macros for powerful, type-safe prompt generation.

Macros

prompt

Creates a prompt string from a template and key-value pairs.

Functions

extract_json

Extracts a JSON string from a raw LLM response string.

extract_markdown_block

Extracts content from any Markdown code block in the text.

extract_markdown_block_with_lang

Extracts content from a Markdown code block with a specific language.