LangWatch is a comprehensive platform designed to assist AI teams in developing and deploying large language model (LLM) applications efficiently and reliably. It provides a suite of tools for monitoring, evaluating, and optimizing LLM workflows, ensuring quality and performance throughout the development process. With features like the Optimization Studio, which offers a visual interface for creating and refining LLM pipelines, and integration with frameworks such as Stanford's DSPy, LangWatch enables users to automate prompt optimization and evaluate model outputs effectively. The platform supports various LLMs, including OpenAI, Claude, Azure, Gemini, and Hugging Face, and offers easy integration into existing tech stacks, making it a versatile solution for AI development and deployment.

langwatch

An LLM Optimization Studio that empowers AI teams to ship faster with quality assurance at every step, offering tools for monitoring, evaluating, and optimizing large language model applications.

LangWatch

Outlines is an open-source Python library designed to facilitate the development of structured prompts for large language models (LLMs). It enables developers to encapsulate prompt templates within 'template functions,' allowing for a clear separation between prompt logic and general program logic. This modular approach enhances code readability and maintainability, making it easier to build and manage complex prompts. Outlines supports the integration of various LLMs and provides tools for composing and executing prompts, streamlining the process of generating structured text outputs.

outlines

A Python library that simplifies the creation and management of structured prompts for large language models.

AI Agents Tagged with: prompt engineering

LangWatch

Outlines