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Add four new OpenAI-compatible inference engines across the full stack: Rust backend: - Config structs with serde defaults (ExoEngineConfig, NexaEngineConfig, UzuEngineConfig, AppleFmEngineConfig) in openjarvis-core - Factory constructors on OpenAICompatEngine (exo, nexa, uzu, apple_fm) - Engine enum variants with delegate_engine! macro dispatch - Discovery and resolution in get_engine_static() - PyO3 bridge support in PyEngine Python frontend: - Data-driven engine class registration in openai_compat_engines.py - Config dataclasses with backward-compat host properties - Discovery host map entries - DEFAULT_SEARCH_SPACE updated with new engine backends - Apple FM shim (FastAPI wrapper for python-apple-fm-sdk, macOS only) Config & tests: - TOML config sections for all four engines - Unit tests for factory methods, enum variants, and search space Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>