Febasi · Documentation
The Febasi platform, documented.
Auth, Eved, Vero, Soma — for people and language models alike.
Products
Auth
Identity layer
Users, sessions, hierarchical RBAC, per-tenant JWT secrets, and an audit log of everything that matters.
Read the docsEved
Infrastructure platform
Workspaces, projects, integrations — and a visual editor that wires them into workflows.
See the planned scopeVero
Analytics engine
Heavy data, fast queries, a clean API. The platform’s analytical backbone.
See the planned scopeSoma
AI orchestration
Routes work across LLM providers — Claude, GPT, DeepSeek — within explicit cost and rate-limit budgets.
See the planned scopeBuilt for two readers.
People and language models. Every page is shaped to be useful to both.
- 01
Raw MDX, every page
Append .mdx to any URL or send Accept: text/markdown.
- 02
/llms.txt and /llms-full.txt
A pre-built corpus index any agent can consume — no scraping required.
- 03
AI assistant inside the docs
A chat panel on every docs page answers questions, citing its sources.
“The alloy that does not exist in nature — must be intentionally synthesized.”