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Spin Up a Database From a Chat Message

Workspaces provisions Supabase, Oracle, MongoDB, a GraphQL server, SigNoz or a hosted model into your own namespace, and stops it when you ask.

Yantra Team2 min read

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Every project needs backing services before it needs code: a database, an auth server, somewhere to send logs. Workspaces provisions those into your own project namespace, hands back the credentials, and lets you stop them when you are not using them.

The catalog

Service What you get
Supabase Postgres, auth, storage and Studio
Better Auth An auth server
Oracle Database Free An Oracle database
MongoDB A replica set
GraphQL / tRPC server An API server for an API Builder project
SigNoz Observability with OTLP endpoints
OpenClaw agent An agent workspace with a browser runtime
Transformers model server Qwen and other Hugging Face models behind an OpenAI-compatible endpoint, on CPU or GPU

Say what you need

  • "Spin up a Supabase database for this project and give me the connection string."
  • "Run Qwen2.5 7B on a GPU and give me an OpenAI-compatible endpoint."
  • "Stop my Oracle workspace, it is burning money."
  • "Delete the MongoDB workspace I made last week."

Workspaces owns the chat while it is open, with template cards and a toolbox for create, list, start, stop and keys, so a provisioning request starts with the right tools already loaded.

Start, stop, keys, delete

Each provisioned service is an instance you can start and stop to control cost, read the credentials or connection string from, open the dashboard of, and delete. Nothing here is a mystery: the console shows what is running, and stopping it is one action.

Hosting a model

The Transformers model server is the one people ask about. Pick a model from the Hub, choose CPU or a GPU, and you get a base URL and a key that work with any OpenAI-compatible client. Point the Yantra model picker at it with a bring-your-own key, and your own hosted model becomes a choice in every chat.

What is not in the catalog

MySQL, MariaDB, Redis, Elasticsearch and Kafka. Ask for one and the agent says so and offers what is available, rather than opening a console with no such button.

Next door

Write the code against the database with Codezen. Build and deploy it with CI. Publish a site with Web Builder.

Read more

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