Model Agnostic
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A Python agent framework for building production-grade GenAI applications with type safety, observability, and extensibility.
An open-source data-centric AI library for automatically detecting and fixing data quality issues in machine learning datasets.
A production-ready Rust framework for building high-performance AI agents with modular components for models, tools, memory, and realtime voice.
A Python library for production-ready prompt engineering, testing, and load balancing across multiple AI models.
A Python library for generating contrastive and counterfactual explanations for machine learning models using foil trees.
An agentic AI operating system that replaces brittle automations with long-lived, self-improving autonomous systems.
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