SymbolicAI provides a Python framework that blends traditional code with LLM-based semantics.
Core primitive: Symbol objects offering syntactic mode (fast, literal) and semantic mode (context-aware).
Overloaded operators and methods (e.g., ==, +, .map) enable composable semantic reasoning.
Contracts enforce correctness for LLM interactions with built-in validation, remedies, and retries.
Modular and extensible engine system supports local or API-based LLMs, search, image generation, etc.
Installation via pip with optional extras and environment or file-based configuration management.
Comprehensive documentation, tests, and community resources facilitate adoption.
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