v0.1.3x

Added

• Added high-level streaming completion APIs, including
  create_completion_stream, create_completion_stream_with_sampler,
  CompletionChunk, StreamControl and richer completion logprob
  metadata.
• Added llama-crab-server, an HTTP server binary for local inference
  with completions, chat completions, embeddings, reranking,
  tokenization, detokenization, SSE streaming and optional multimodal
  chat support.
• Added OpenAI-style high-level convenience helpers for text, chat and
  embeddings with token accounting.
• Added the server_lfm example wrapper and an lfm-text download
  target for launching the HTTP server with LFM text models.
• Added the streaming example to demonstrate callback-driven text
  generation.
• Added mobile-oriented runtime presets through MobilePreset and
  LlamaParams::with_mobile_preset.
• Added broader tool-call streaming support, including OpenAI-style
  tool-call deltas.
• Added documentation deployment for the project guide.

Changed

• Migrated the user guide from mdBook to Material for MkDocs, with
  English and Portuguese documentation trees and expanded server,
  mobile, streaming, chat, embeddings and grammar coverage.
• README files now point users to the new MkDocs guide hosted at the
  GitHub Pages site.
• CI and release workflows now build, test and publish
  llama-crab-server alongside the library crates.
• CI workflows now run through manual dispatch instead of push triggers,
  and documentation jobs use nightly Cargo where required.
• The hf-tokenizer dependency now enables the onig feature for
  tokenizer compatibility.
• Rustdoc crate logos now reference the current Canarim Crab asset.

Fixed

• Removed unused placeholder OpenAI-compat wrapper bindings from
  llama-crab-sys and the old chat module export.
• Gated the Metal backend build configuration to macOS targets.
• Hardened documentation builds and docs deployment workflow behavior.
• Cleaned up server and example runner support for the new server and
  mobile workflows.