NexArt for LangChain

LangChain is the most common way teams build LLM-powered features. Without certification, every chain run produces a transient interaction that exists only in your application logs, where it can be changed, deleted, or incomplete. With NexArt, every run becomes a verifiable record.

What changes when you turn it on

• Every chain run produces a CER bound to the run's input, output, and metadata.
• Every tool the chain called can be captured as a signal and bound to the same CER.
• Multi-step chains (router, retriever, responder) become one project bundle per run.
• The CER carries orchestrationFramework: 'LangChain' so downstream verifiers know what produced it.

What you get

Works with any LangChain version, any model provider, any agent type. No LangChain-specific schema, no peer dependency.

Why this matters

LangChain is unopinionated about evidence. It executes whatever chain you build and forgets it the moment the request ends. NexArt makes every LangChain run an artifact you can store, share, and verify, without changing your chain's behavior or output.

When a customer questions an AI-generated recommendation, or an auditor asks what inputs produced a specific output, a chain run that was not certified is a chain run that cannot be defended. Logging the chain's output is not the same as sealing it into an independently verifiable record.