SymbolicAI is a modular neuro-symbolic Python library that combines classical code with LLM-powered semantics.
It introduces Symbol objects that operate in syntactic (native Python) or semantic (LLM-driven) modes with on-demand projections.
Common Python operators and methods are overloaded to perform fuzzy or conceptual operations when in semantic mode.
Design-by-contract decorators validate and remediate inputs and outputs to reduce LLM hallucinations and enforce correctness.
The library supports custom or local engines and integrates with tools like web search, image generation, speech, and more.
Installation is via pip with optional extras for additional features, requiring API keys for each engine.
Configuration uses a priority system across debug, environment-specific, and global JSON files or environment variables.
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