LLM Evaluation 3

LLM observability and evaluation platform for monitoring, evaluating, and optimizing LLM applications. LangWatch is an LLM observability and evaluation platform designed to help AI teams monitor, evaluate, and optimize their LLM-powered applications. It provides full visibility into prompts, variables, tool calls, and agents across major AI frameworks, enabling faster debugging and smarter insights. LangWatch supports both offline and online checks with LLM-as-a-Judge and code-based tests, allowing users to scale evaluations in production and maintain performance. It also offers real-time monitoring with automated anomaly detection, smart alerting, and root cause analysis, along with features for annotations, labeling, and experimentations.

Open-source LLMOps platform for reliable AI apps. Agenta is an open-source LLMOps platform designed for building reliable and robust AI applications. It provides a comprehensive suite of tools for prompt management, prompt engineering, LLM evaluation, debugging, and monitoring of complex LLM applications. The platform aims to facilitate collaboration among developers and domain experts, enabling them to ship LLM applications faster and with confidence by moving from scattered workflows to structured processes.

Trainkore is a prompting and RAG platform for automating prompts and saving costs. Trainkore is a prompting and RAG (Retrieval-Augmented Generation) platform designed to automate prompts and save costs. It offers features like auto prompt generation, model switching, evaluation, observability, and a prompt playground. It integrates with various AI providers and frameworks like Langchain and LlamaIndex.