flutter_concrete 0.3.0

Concrete ML FHE client for Flutter. Native TFHE-rs encryption/decryption via Dart FFI with quantization support.

0.3.0

• CiphertextFormat.CONCRETE support: Native seeded LWE encryption and decryption for Concrete's default ciphertext format. Enables n_bits 1–7 (no longer forced to n_bits=8), producing dramatically smaller circuits and faster inference.
• Automatic format detection: ConcreteClient reads client.specs.json to determine whether the model uses CONCRETE or TFHE-rs format and routes through the appropriate path. No public API changes.
• Dynamic keygen parameters: fhe_keygen derives GLWE dimensions from the circuit topology instead of hardcoding V0_10, supporting any parameter set the Concrete compiler chooses.
• Cap'n Proto Value serialization: New fhe_serialize_value / fhe_deserialize_value FFI functions for Concrete's ciphertext transport format.
• nClasses from output shape: dequantizeOutputs correctly aggregates per-tree scores for CONCRETE format models where tfhers_specs is absent.
• New internal types: ConcreteCipherInfo, ConcreteCipherCompression

0.2.0

• Dynamic key topology: Keygen reads client.specs.json from client.zip instead of hardcoded key counts. Supports any Concrete ML circuit.
• Multi-width encrypt/decrypt: Dispatches to FheUint8–64 / FheInt8–64 based on encoding width. No longer limited to uint8/int8.
• Model change detection: SHA-256 hash of topology + encoding stored in KeyStorage; keys auto-regenerate when the model changes.
• Int64List I/O for quantization with dynamic bit-width clamping

0.1.0

• Initial release
• ConcreteClient: setup from Concrete ML client.zip, key generation/restoration, quantize+encrypt, decrypt+dequantize
• KeyStorage abstract interface for key persistence
• 8-bit quantization (uint8 input, int8 output) compatible with Concrete ML models
• Cargokit-based native build with precompiled binary support
• Android and iOS platform support

0.1.1

• Updated README.md