xberg 1.0.6

High-performance document intelligence library for Rust. Extract text, metadata, and structured data from PDFs, Office documents, images, and 98+ formats and 306 programming languages via tree-sitter code intelligence with async/sync APIs.
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//! Rust-only engine extension seams.
//!
//! Each seam is a small trait paired with a behavior-preserving in-core default.
//! The [`Engine`](super::Engine) stores one `Arc<dyn …>` per seam (filled with
//! its default by [`EngineBuilder`](super::EngineBuilder)) so callers can inject
//! alternative implementations without altering the default extraction path.
//!
//! These are deliberately **not** part of the language-binding surface: the
//! whole `engine` module is a bare `pub mod engine;` in `lib.rs` whose files are
//! not listed in `alef.toml` `sources`, so the binding generator emits nothing
//! for them. The trait names and public seam types are also listed in
//! `alef.toml` `[crates.exclude] types` as belt-and-suspenders.
//!
//! This phase establishes the seam points and dependency-injection wiring only;
//! the in-core defaults reproduce exactly what xberg does today. Routing the
//! internal structured/LLM/model paths through these seams is a later phase.

mod cache;
mod progress;

#[cfg(feature = "liter-llm")]
mod llm_client;
#[cfg(feature = "presets")]
mod preset_resolver;
#[cfg(feature = "heuristics")]
mod structured_policy;

#[cfg(feature = "layout-detection")]
mod model_provider;

pub use cache::{CacheBackend, NoopCache};
pub use progress::{NoopProgressSink, ProgressEvent, ProgressSink};

#[cfg(feature = "liter-llm")]
pub use llm_client::{LiterLlmClient, LlmClient};
#[cfg(feature = "presets")]
pub use preset_resolver::{CorePresetResolver, PresetResolver};
#[cfg(feature = "heuristics")]
pub use structured_policy::{DefaultStructuredPolicy, StructuredPolicy};

#[cfg(feature = "layout-detection")]
pub use model_provider::{DefaultModelProvider, ModelId, ModelProvider};