> ## Documentation Index
> Fetch the complete documentation index at: https://evalgate.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Connections

> Review connected accounts and the resources your work may use.

Connections brings gateway accounts and direct model credentials into one
workspace view. Select an account to review its access checks, model resources,
routing and recorded activity. Workspace administrators manage credentials;
members use the resources their work is already permitted to access.

A saved credential has not necessarily passed an access check. An old successful
check is shown as history, and unavailable inventory remains unavailable rather
than an empty success. Model pricing and evidence status remain separate facts.

The catalog distinguishes guided setup through installed services from unavailable
integration blueprints. A catalog entry does not establish live compatibility.
Databricks guided setup covers model serving. Slack setup covers notifications.
Private execution requires an enrolled environment and support for the exact
operation; entering a private address does not establish connectivity.

Replacing a direct credential updates EvalGate's stored key. Revoke the old key
with the provider separately. Removing EvalGate access does not delete an
upstream account, index, collection or model.

This surface is a source candidate until its deployment is verified. New
knowledge transports, reviewed resource grants and one-time budget approvals
remain unavailable. Existing runtime policy, reservations and evidence services
continue to govern work.

Automation uses the same read contracts:

```bash theme={null}
evalgate api listConnections --query limit=25 --json
evalgate api getConnectionCatalog --json
```

The TypeScript and Python OpenAPI clients expose `listConnections` and
`getConnectionCatalog`. MCP clients use `connections.list` and
`connections.catalog`. None of these reads returns a secret or grants permission
to read content or invoke a model.


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