langchain-enterprise-rbac

LangChain Enterprise RBAC

Contents

Overview

Implement role-based access control (RBAC) for LangChain applications with multi-tenant support, model access control, and usage quotas.

Prerequisites

Instructions

Step 1: Define Permission Model

Create Permission enum with chain, model, feature, and admin permissions. Define roles (viewer, user, power_user, admin) mapping to permission sets.

Step 2: Implement User and Tenant Management

Create Tenant and User models with role-based permission resolution. Users belong to tenants with monthly token limits.

Step 3: Enforce Permissions

Build PermissionChecker with FastAPI decorators (@require_permission ) that validate user permissions before chain execution.

Step 4: Control Model Access

Implement ModelAccessController that restricts LLM model access based on user permissions and tenant restrictions.

Step 5: Isolate Tenants

Use context variables (ContextVar ) for tenant isolation. Implement TenantScopedVectorStore that filters by tenant ID.

Step 6: Manage Usage Quotas

Build UsageQuotaManager tracking per-tenant token usage with monthly resets and reporting.

See detailed implementation for complete RBAC code.

Output

Error Handling

Issue Cause Solution

403 Forbidden Insufficient permissions Check user role assignment

Tenant data leak Missing isolation Verify ContextVar propagation

Quota exceeded High usage Upgrade tenant token limit

Examples

Basic usage: Apply langchain enterprise rbac to a standard project setup with default configuration options.

Advanced scenario: Customize langchain enterprise rbac for production environments with multiple constraints and team-specific requirements.

Resources

Next Steps

Use langchain-data-handling for data privacy controls.

Source Transparency