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langchain-enterprise-rbac
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plugins/saas-packs/langchain-py-pack/skills/langchain-enterprise-rbac/SKILL.md
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- 2,917
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- License
- MIT
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- langchain Declared skill tag
- langgraph Declared skill tag
- python Declared skill tag
- langchain-1.0 Declared skill tag
- multi-tenant Declared skill tag
- rbac Declared skill tag
- enterprise Declared skill tag
- security Declared skill tag
- security Derived category
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SKILL.mdcore · 15,974 bytesSKILL.mdcore · 15,974 bytesSKILL.mdcore · 15,974 bytesSKILL.mdcore · 15,974 bytesSKILL.mdcore · 15,974 bytesSKILL.mdcore · 15,974 bytesreferences/audit-log-schema.mddoc · 7,319 bytesreferences/multi-tenant-regression-tests.mddoc · 6,609 bytesreferences/one-pager.mddoc · 4,093 bytesreferences/retriever-per-request.mddoc · 6,181 bytesreferences/role-scoped-tool-allowlist.mddoc · 5,555 bytesreferences/vector-store-isolation.mddoc · 7,714 bytes
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# LangChain Enterprise RBAC (Python)
## Overview
A B2B SaaS team shipped their first RAG feature for two tenants. The factory
code looked innocent: build `PineconeVectorStore` once at module import with
`namespace="acme-corp"` (the first tenant), convert it to a retriever, store
it in a module global, reuse on every request. Six weeks later tenant "Initech"
went live. Their first search returned three documents from Acme Corp.
The singleton retriever had captured the Acme namespace at process start.
`RunnableConfig.configurable["tenant_id"]` was being passed in — but the
retriever never read it, because the filter was baked in. Every request for
every tenant hit the same Pinecone namespace. Security review caught it three
days later and put a hold on the SOC2 renewal. This is pain-catalog entry