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@habenula-ai/credentials

v1.0.0

Published

Habenula credential vault — the decrypted credential shape, AES-256-GCM encryption at rest, the row-backed store seam, and single-flight token refresh. Leaf package: no runtime dependencies.

Downloads

358

Readme

@habenula-ai/credentials

The Habenula credential vault: the decrypted OAuth credential shape (StoredCredential), AES-256-GCM encryption at rest (EncryptedPayload and the crypto primitives), the row-backed store seam (CredentialRowStore), and single-flight token refresh (SingleFlightRefresher).

Install

Run this in your project directory, once per project:

npm i @habenula-ai/credentials

This is the package that owns the hard invariant that the LLM context must never contain a raw OAuth token. Nothing here logs, serialises to the model, or crosses the /api/* wire; credentials are encrypted at rest on the per-user Durable Object's connected_services row and resolved to plaintext only at tool-execution time, inside the engine, then discarded.

It is a leaf package with no runtime dependencies: no engine imports, no Cloudflare bindings, no agents SDK, and no Node.js — encryption uses Web Crypto (crypto.subtle). Storage is injected: the Durable Object builds a CredentialRowStore over its own SQLite and hands it in, so the encrypt / decrypt / refresh logic stays here while the storage target stays in the engine. Token refresh is likewise injected — SingleFlightRefresher calls a refreshFn supplied by the OAuth provider strategy in @habenula-ai/tools, so this package never depends on the catalog.

The engine consumes it as source (an exact-pinned workspace sibling, no build step); @habenula-ai/tools depends on it for the StoredCredential type its provider strategies mint and refresh.

Part of the Habenula OSS release. Licensed under AGPL v3.