Open Source Alternatives
LangChain's hosted platform for tracing, evaluating, and monitoring LLM applications and AI agents in production.
LangSmith is a trademark of its respective owner.
Updated Jun 2026
Switching off LangSmith means swapping the LangSmith SDK for another tracing client and re-pointing your instrumentation, then standing up a self-hosted backend like Langfuse or Phoenix. A solo dev on one app can move in a day or two; a small team with several agents in production should budget a week to re-instrument and validate parity. The hidden cost is your historical trace and evaluation datasets: they don't come with you, so you either export what you can or accept starting your observability history fresh.
| Langfuse | phoenix | latitude-llm | |
|---|---|---|---|
| Overlap | 70% | 65% | 60% |
| Migration | moderate | moderate | moderate |
| License | MIT License | Other | LGPL-3.0 |
| Best for | Small teams | Small teams | Small teams |
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Open source LLM engineering platform
Langfuse is the observability platform for LLM applications: traces every call, measures latency and cost, tracks quality over time. It traces every LLM call, shows you the prompts, completions, latency, costs, and lets you evaluate output quality over time.
AI Observability & Evaluation
Phoenix is open source observability for AI apps. When an LLM feature misbehaves in production, this is how you see why.
Latitude is the open-source ai monitoring platform.
Latitude watches your AI agents the way Datadog watches your servers. When you ship an app built on LLMs, you lose visibility the moment a prompt leaves your code, you can't see why an agent went off the rails or which step failed.