Deploy Mastra workflow evaluation demo

Deterministic Mastra memory and human approval workflow demo.

Deploy Mastra workflow evaluation demo

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Deploy and Host Mastra workflow evaluation demo

Deterministic Mastra memory and human approval workflow demo.

About Hosting Mastra workflow evaluation demo

This single-operator evaluation recipe combines a typed Mastra API with private PostgreSQL storage. It persists conversations and workflow snapshots, and demonstrates explicit human approval before a SQL-idempotent ledger effect. It does not ship public Studio or claim automatic recovery of arbitrary in-flight work.

Why Deploy Mastra workflow evaluation demo on Railway?

Separate the public authenticated API from private persistent storage. Railway supplies service references and a database volume; the default deterministic fixture makes no model calls and is not an LLM. Optional hosted integration is UNVERIFIED and requires an operator-owned authorized key, with provider charges. A deliberately pinned Apache-only Mastra release and artifact scans bound the distributed package surface.

Common Use Cases

  • Evaluate native Mastra conversation persistence without a model bill.
  • Evaluate human approval and explicit restart/resume workflows.
  • Study an idempotent database tool before integrating external systems.

Dependencies for Mastra workflow evaluation demo

  • An accessible GitHub source authorized for Railway, with explicit repository, branch and root directory.
  • Default offline-fixture mode needs no provider key and is not an LLM. Optional unverified OpenAI mode requires a real operator-owned key; calls incur charges.
  • A generated bearer token, private PostgreSQL credentials and a persistent database volume.

Deployment Dependencies

Mastra core 1.0.4 with compatible pinned tooling/adapters, Node 24.20.0 and PostgreSQL 17.11; dependency resolution and image inputs are locked. There is no bundled enterprise auth/editor or Studio UI. This is not an HA, production or multi-user deployment. Review the README, support boundary and artifact review before adoption.


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