Cargo Lambda

AWS Lambda is a cloud backend function used in the described system to connect an Alexa skill to an application.

Amazon S3 is a cloud storage service from Amazon Web Services. In the cited use, it stores an AWS Lambda application package when the package exceeds the size limit for direct deployment.

Rust is a systems programming language and toolchain developed by the Rust project. Its compiler, standard library, documentation, package manager and build tool Cargo, formatter rustfmt, linter Clippy, and editor support are maintained in the main repository. The language uses a rich type system and ownership model to enforce memory and thread safety at compile time, while targeting fast, memory-efficient software for critical services, embedded devices, and integration with other languages. Rust is primarily distributed under the MIT and Apache 2.0 licenses, with portions under BSD-like licenses.

cargo-frisk is a Rust command-line tool that checks the files a Cargo package will ship. It builds the .crate archive, compares its contents with `git ls-files`, and reports files that are shipped but not tracked, files tracked but not shipped, and the expected shipped-and-tracked files. Cargo-generated files such as `Cargo.toml.orig`, `.cargo_vcs_info.json`, and `Cargo.lock` are listed separately. It scans packaged files for provider tokens, private keys, `.env` files, credentials files, editor backups, and other patterns adapted from gitleaks, with additional rules for Cargo packaging. Findings can be adjusted using severity thresholds, entropy checks, path-based severity reductions, inline suppressions, ignored paths, ignored rules, and per-file size limits. Binary or oversized files are reported as not scanned rather than silently skipped. The tool is installed with `cargo install cargo-frisk` or `cargo binstall cargo-frisk`, then run with `cargo frisk` from a package. Its exit codes distinguish no findings, findings at or above the configured threshold, and tool errors such as a failed `cargo package` operation or malformed archive.

LiteParse is an open-source, standalone document parser from LlamaIndex focused on fast, local parsing of PDFs and other documents without proprietary LLM features or cloud dependencies. Its Rust-based pipeline converts Office files and images to PDF when needed, extracts native text with PDFium, optionally applies Tesseract or an HTTP OCR service, merges the results, and reconstructs spatial layout using text positions and bounding boxes. It can output Markdown, JSON, or layout-preserved plain text, generate page screenshots, detect documents that need OCR or heavier processing, and expose classified layout blocks such as headings, paragraphs, lists, tables, code, and figures; the JSON representation can include per-cell table coordinates and other opt-in PDF metadata. LiteParse is distributed through CLI, Rust, Python, Node.js/TypeScript, and browser WebAssembly packages, and is licensed under Apache 2.0.