Langtrace

Langtrace is an open-source observability and evaluation platform built for AI agents. It’s designed to help teams move from experimental prototypes to enterprise-ready AI products by making agent behavior measurable, debuggable, and safer to ship. With Langtrace, you can capture detailed traces of your agent workflows, inspect and explore API requests, and track the metrics that matter for reliability, cost, latency, and overall quality.

Langtrace integrates out of the box with popular agent and LLM application frameworks such as CrewAI, DSPy, LlamaIndex, and LangChain, and it works across a wide range of LLM providers and vector databases. Setup is intentionally lightweight: create a project, generate an API key, install the SDK, and initialize it in just a couple of lines in Python or TypeScript.

Beyond observability, Langtrace supports evaluations so you can establish baselines, measure changes over time, and iterate toward better performance and safety. It also includes prompt storage and version control to help you manage prompt changes systematically, compare outcomes across models, and collaborate more effectively across teams. For organizations deploying AI into production environments, Langtrace emphasizes practical operational visibility combined with enterprise-grade security controls.

Whether you’re diagnosing failures in multi-step agent runs, comparing prompt variants, or building a repeatable evaluation loop for continuous improvement, Langtrace provides the tooling needed to understand what your AI agents are doing and to improve them with confidence.