Crate outlines_core 

Outlines_core

outlines_core crate provides a convenient way to:

• build regular expressions from JSON schemas

• construct an index::Index object by combining a vocabulary::Vocabulary and regular expression to efficiently map tokens from a given Vocabulary to state transitions in a finite-state automation

json_schema

json_schema module provides interfaces to generate a regular expression based on a given JSON schema, depending on its type:

• json_schema::regex_from_str
• json_schema::regex_from_value

Whitespace pattern could be customized, otherwise the default json_schema::WHITESPACE pattern is used.

Note, that not all the features of JSON schema are supported for regex generation: Supported Features

Index

Once index::Index is built, it can be used to evaluate or validate token sequences.

Complexity and construction cost

Index can accommodate large vocabularies and complex regular expressions. However, its size may grow significantly with the complexity of the input, as well as time and computational resources.

Python bindings

Additionally, crate provides interfaces to integrate the crate’s functionality with Python.

Support

Outlines_core is primarily used in structured text generation project outlines, if you need support, consider reaching out to its maintainers, you can also open an issue or start a discussion on github

Example

Basic example of how it all fits together.

use outlines_core::prelude::*;

// Define a JSON schema
let schema = r#"{
    "type": "object",
    "properties": {
        "name": { "type": "string" },
        "age": { "type": "integer" }
    },
    "required": ["name", "age"]
}"#;

// Generate a regular expression from it
let regex = json_schema::regex_from_str(&schema, None, None)?;
println!("Generated regex: {}", regex);

// Create `Vocabulary` from pretrained large language model (but manually is also possible)
let vocabulary = Vocabulary::from_pretrained("openai-community/gpt2", None)?;

// Create new `Index` from regex and a given `Vocabulary`
let index = Index::new(&regex, &vocabulary)?;

let initial_state = index.initial_state();
println!("Is initial state {} a final state? {}", initial_state, index.is_final_state(&initial_state));

let allowed_tokens = index.allowed_tokens(&initial_state).expect("Some allowed tokens");
println!("Allowed tokens at initial state are {:?}", allowed_tokens);

let token_id = allowed_tokens.first().expect("First token");
println!("Next state for the token_id {} is {:?}", token_id, index.next_state(&initial_state, token_id));
println!("Final states are {:?}", index.final_states());
println!("Index has exactly {} transitions", index.transitions().len());
}

Re-exports

pub use error::Error;

pub use error::Result;

Modules

error

The Errors that may occur within the crate.

index

Building an Index to efficiently map vocabulary tokens to state transitions.

json_schema

Provides interfaces to generate a regular expression based on a given JSON schema.

prelude

Library’s interface essentials.

primitives

Defines fundamental types used throughout the crate.

vocabulary

Creates Vocabulary manually or from pretrained large language model.