kalosm_language_model/model/mod.rs
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use kalosm_sample::Parser;
use std::{convert::Infallible, future::Future};
mod generation_parameters;
pub use generation_parameters::*;
mod ext;
pub use ext::*;
mod boxed;
pub use boxed::*;
#[doc = include_str!("../../docs/completion_session.md")]
pub trait TextCompletionSession {
/// The type of error the session may return during operations.
type Error: Send + Sync + 'static;
/// Serialize the session into bytes. This method is identical to [`TextCompletionSession::to_bytes`] except it can re-use an existing [`Vec`] buffer.
fn write_to(&self, into: &mut Vec<u8>) -> Result<(), Self::Error>;
/// # Loading sessions
///
/// Sessions can be deserialized to and from bytes using the [`TextCompletionSession::from_bytes`] method.
/// Caching a session avoids re-processing the text again when the session is resumed.
///
/// ```rust, no_run
/// use kalosm::language::*;
/// use std::io::Write;
///
/// #[tokio::main]
/// async fn main() {
/// let mut llm = Llama::new().await.unwrap();
/// let mut session = llm.new_session().unwrap();
///
/// // Feed some text into the session
/// llm.stream_text_with_callback(
/// &mut session,
/// "The capital of France is ",
/// GenerationParameters::new().with_max_length(0),
/// |_| Ok(()),
/// )
/// .await
/// .unwrap();
///
/// // Save the session to bytes
/// let session_as_bytes = session.to_bytes().unwrap();
///
/// // And write those bytes to a file
/// std::fs::write("session.bin", session_as_bytes).unwrap();
/// }
/// ```
fn to_bytes(&self) -> Result<Vec<u8>, Self::Error> {
let mut bytes = Vec::new();
self.write_to(&mut bytes)?;
Ok(bytes)
}
/// # Loading sessions
///
/// Sessions can be deserialized to and from bytes using the [`TextCompletionSession::from_bytes`] method.
/// Caching a session avoids re-processing the text again when the session is resumed.
///
/// ```rust, no_run
/// use kalosm::language::*;
/// use std::io::Write;
///
/// #[tokio::main]
/// async fn main() {
/// let mut llm = Llama::new().await.unwrap();
/// // Load a text completion session from a file
/// let mut session =
/// LlamaSession::from_bytes(std::fs::read("session.bin").unwrap().as_slice()).unwrap();
///
/// // Feed some more text into the session
/// llm.stream_text_with_callback(
/// &mut session,
/// "The capital of France is ",
/// GenerationParameters::new(),
/// |token| {
/// println!("{token}");
/// Ok(())
/// },
/// )
/// .await
/// .unwrap();
/// }
/// ```
fn from_bytes(bytes: &[u8]) -> Result<Self, Self::Error>
where
Self: std::marker::Sized;
/// # Cloning Sessions
///
/// Not all models support cloning sessions, but if a model does support cloning sessions, you can clone a session using the [`TextCompletionSession::try_clone`] method to clone a session state while retaining the original session.
///
/// ```rust, no_run
/// use kalosm::language::*;
/// use std::io::Write;
///
/// #[tokio::main]
/// async fn main() {
/// let mut llm = Llama::new().await.unwrap();
/// let mut session = llm.new_session().unwrap();
///
/// // Feed some text into the session
/// llm.stream_text_with_callback(
/// &mut session,
/// "The capital of France is ",
/// GenerationParameters::new().with_max_length(0),
/// |_| Ok(()),
/// )
/// .await
/// .unwrap();
///
/// // Clone the session
/// let cloned_session = session.try_clone().unwrap();
///
/// // Feed some more text into the cloned session
/// llm.stream_text_with_callback(
/// &mut session,
/// "The capital of France is ",
/// GenerationParameters::new(),
/// |token| {
/// println!("{token}");
/// Ok(())
/// },
/// )
/// .await
/// .unwrap();
/// }
/// ```
fn try_clone(&self) -> Result<Self, Self::Error>
where
Self: std::marker::Sized;
}
impl TextCompletionSession for () {
type Error = Infallible;
fn write_to(&self, _into: &mut Vec<u8>) -> Result<(), Self::Error> {
Ok(())
}
fn from_bytes(_bytes: &[u8]) -> Result<(), Self::Error> {
Ok(())
}
fn try_clone(&self) -> Result<(), Self::Error> {
Ok(())
}
}
/// A marker type that indicates that no constraints were supplied.
#[derive(Debug, Clone, Copy)]
pub struct NoConstraints;
/// A type that can constrain the output of a model into a specific output type.
pub trait ModelConstraints {
/// The type of the output of the constraints.
type Output;
}
impl<P: Parser> ModelConstraints for P {
type Output = <P as Parser>::Output;
}
/// A trait for creating a text completion session for a model. While it the core trait
/// every text completion model must implement, most methods to use models that implement
/// this trait are implemented in the [`TextCompletionModelExt`] trait.
///
/// # Example
///
/// ```rust, no_run
/// use kalosm::language::*;
///
/// #[tokio::main]
/// async fn main() {
/// // Create a new model which implements the CreateTextCompletionSession trait
/// let mut llm = Llama::new().await.unwrap();
/// // Create a new session for the model
/// let mut session = llm.new_session().unwrap();
/// }
/// ```
pub trait CreateTextCompletionSession {
/// The type of error this model may return during operations.
type Error: Send + Sync + 'static;
/// The type of the session that this model uses.
type Session: TextCompletionSession;
/// Create a new session for this model.
///
/// # Example
/// ```rust, no_run
/// # use kalosm::language::*;
/// # #[tokio::main]
/// # async fn main() {
/// // Create a new model which implements the CreateTextCompletionSession trait
/// let llm = Llama::new().await.unwrap();
/// // Create a new session for the model
/// let session = llm.new_session().unwrap();
/// # }
/// ```
fn new_session(&self) -> Result<Self::Session, Self::Error>;
}
/// A trait that defines the default constraints for a type with this model.
pub trait CreateDefaultCompletionConstraintsForType<T>:
StructuredTextCompletionModel<Self::DefaultConstraints>
{
/// The default constraints for this type that work with this model.
type DefaultConstraints: ModelConstraints<Output = T>;
/// Create [`Self::DefaultConstraints`] which parse the type `T` for this model.
fn create_default_constraints() -> Self::DefaultConstraints;
}
/// A trait for unstructured text completion models. This trait is required for any text completion models
/// even if they do not support structured generation. While this trait is implemented for all text completion models,
/// most methods to use models that implement this trait are implemented in the [`TextCompletionModelExt`] trait.
///
/// # Example
///
/// ```rust, no_run
/// use kalosm::language::*;
///
/// #[tokio::main]
/// async fn main() {
/// // Create a new model which implements the CreateTextCompletionSession trait
/// let mut llm = Llama::new().await.unwrap();
/// // Create a new session for the model
/// let mut session = llm.new_session().unwrap();
/// // Feed some text into the session using the raw text completion api that accepts a session, prompt, sampler, and on token callback
/// llm.stream_text_with_callback(&mut session, "The capital of France is ", GenerationParameters::new(), |token| {println!("{token}"); Ok(())}).await.unwrap();
/// }
/// ```
pub trait TextCompletionModel<Sampler = GenerationParameters>: CreateTextCompletionSession {
/// Generate text with the given prompt.
///
/// See [`TextCompletionModelExt::complete`] for nicer API with an example.
fn stream_text_with_callback<'a>(
&'a self,
session: &'a mut Self::Session,
text: &str,
sampler: Sampler,
on_token: impl FnMut(String) -> Result<(), Self::Error> + Send + Sync + 'static,
) -> impl Future<Output = Result<(), Self::Error>> + Send + 'a;
}
/// A trait for text completion models that support structured generation. While this trait is implemented for
/// all structured text completion models, most methods to use models that implement this trait are implemented
/// in the [`TextCompletionModelExt`] trait.
///
/// # Example
///
/// ```rust, no_run
/// use kalosm::language::*;
///
/// #[tokio::main]
/// async fn main() {
/// // Create a new model which implements the CreateTextCompletionSession trait
/// let mut llm = Llama::new().await.unwrap();
/// // Create a new session for the model
/// let mut session = llm.new_session().unwrap();
/// // Create a parser for your data. Different models accept different types of parsers. The Llama model accepts
/// // any parsers that implements the `Parse` trait.
/// let parser = i32::new_parser();
/// // Feed some text into the session using the raw structured text completion api that accepts a session, prompt, sampler, and on token callback
/// llm.stream_text_with_callback_and_parser(&mut session, "5 * 5 = ", GenerationParameters::new(), parser, |token| {println!("{token}"); Ok(())}).await.unwrap();
/// }
/// ```
pub trait StructuredTextCompletionModel<
Constraints: ModelConstraints,
Sampler = GenerationParameters,
>: TextCompletionModel<Sampler>
{
/// Generate text with the given prompt and the given constraints.
///
/// See [`TextCompletionModelExt::complete`] for nicer API with an example.
fn stream_text_with_callback_and_parser<'a>(
&'a self,
session: &'a mut Self::Session,
text: &str,
sampler: Sampler,
parser: Constraints,
on_token: impl FnMut(String) -> Result<(), Self::Error> + Send + Sync + 'static,
) -> impl Future<Output = Result<Constraints::Output, Self::Error>> + Send + 'a;
}