BAML is an AI framework that adds engineering rigor to prompt engineering, offering type-safe prompt definitions, automatic testing, version management, and multi-model support across Python, TypeScript, Ruby, Java, C#, Rust, and Go.
An open-source tool from Meta for LLM prompt optimization. Automates the process of continuously improving and refining LLM prompts.
A prompt management and debugging platform for LLMs, providing prompt logging, request tracking, replay capabilities, and debugging tools to help teams systematically manage LLM interactions and optimize prompts.
NVIDIA NeMo Guardrails is an open-source toolkit for adding programmable guardrails to LLM-based conversational systems, supporting topic control, safety enforcement, and dialog guidance.
AgentLabs is a toolkit for agent development and testing, focused on experimentation, replay, and workflow support to improve iteration speed.