A library for building stateful, multi-agent applications with LLMs, built on top of LangChain. Provides fine-grained control over agent loops.

An open-source prompt management platform that centralizes AI prompts with version control, instant deployment, and real-time observability.

A comprehensive developer platform for building, testing, and monitoring LLM applications. It features a suite of tools for prompt engineering, evaluation, and observability.

An AI development platform for building, testing, and managing LLM-powered applications. It provides tools for prompt engineering, semantic search, and model evaluation.

The enterprise-grade stack for evaluating and testing AI applications. It provides the tools needed to track performance, run automated evals, and manage datasets for production-ready AI.

A comprehensive platform for debugging, testing, evaluating, and monitoring LLM applications. Built by the LangChain team, it provides the visibility needed to move from prototype to production with confidence.

A comprehensive platform for monitoring, testing, and debugging AI agents in production. It provides deep observability into agent behavior, tool usage, and cost, ensuring reliable autonomous workflows.

An AI gateway and observability suite that helps teams build, manage, and scale LLM apps. It provides a unified API, request tracing, and advanced caching for production-grade AI engineering.

An open-source observability and analytics platform for LLM applications. It provides detailed tracing, evaluation, and cost tracking to help teams improve their AI features and agentic workflows.

A lightweight Python library that allows you to call 100+ LLM APIs using the OpenAI format. It's the standard for building model-agnostic AI applications and managing model failover and load balancing.

A platform for managing and tracking LLM requests. It acts as a middleware between your code and the LLM API, providing a dashboard for prompt versioning, logging, and evaluation.

An open-source observability and analytics platform for AI agents. It features tools for prompt management, cost tracking, and user feedback, with a strong focus on privacy and self-hosting.

An enterprise-grade gateway designed to manage and secure LLM traffic. It provides unified governance, observability, and security features like prompt injection protection and rate limiting for AI-powered organizations.

An AI optimization platform that helps companies monitor, analyze, and reduce the costs of their LLM usage. It provides granular insights into model performance and token consumption to ensure efficient AI operations.

An open-source AI observability platform specifically designed for LLMs and RAG. It provides tools for tracing, evaluation, and troubleshooting to ensure that AI applications are performing as expected in production.

An enterprise-grade platform for building and deploying generative AI applications. It focuses on absolute data sovereignty, offering a unified API and infrastructure for running open-source models on-premise or in private clouds.