All integrations
⛓️
LLM Framework

LangChain + Norbix

Chain LLM calls to production backend actions.

How it works

1

Give your chain Norbix as a tool

Wrap the calls you need as LangChain tools over the Python SDK (pip install norbix) or the REST API, signed with a service-user (nbsu_) key that holds only the roles you pick — or connect an MCP client to the hosted server at https://hub.norbix.ai/v3/account/mcp with the same key as a bearer header. There is no separate Norbix package to install.

2

Chain LLM reasoning with backend actions

Build pipelines where the LLM reasons about data, makes decisions, then executes backend operations: create records, send emails, manage permissions.

3

Deploy pipelines that act on real data

LangChain chains execute live against your Norbix backend. Reasoning influences real infrastructure changes.

What LangChain can do with Norbix

LLM-driven data creation

LLM analyzes input, creates database records with proper validation and permissions.

Conditional backend actions

LLM reasons about conditions, then triggers appropriate Norbix operations.

Email notification chains

LLM generates email content, triggers notifications based on backend state and events.

Permission checks

Check user permissions, roles, and access levels before executing backend operations.

Data retrieval for reasoning

Fetch data from your backend for LLM analysis and decision-making.

Multi-step operations

Chain multiple LLM calls and Norbix actions in coordinated pipelines.

Try LangChain + Norbix

Create a free account, make a service-user key, and build your first LLM-powered pipeline.