## Summary
- Use the session-loaded plugin app IDs as the source of connector
suggestion candidates.
- Remove the redundant plugin reload from
`tool_suggest_connector_ids()`.
- Add regression coverage for connectors declared by a loaded remote
plugin, using the Databricks app case.
## Context
Loaded remote plugins can declare app connector IDs in `.app.json`. The
session-owned `PluginsManager` already loads those plugins and exposes
their effective app IDs.
The connector suggestion path was creating a separate `PluginsManager`
and recomputing plugin app IDs. That new manager does not share the
session manager’s remote installed plugin cache, so app IDs from loaded
remote plugins were missing from connector suggestions.
## Fix
Pass the already-loaded effective app IDs into connector suggestion
generation and use them directly as the plugin-derived connector
candidate set.
Connector candidates are now built from:
- App IDs declared by loaded plugins
- Explicitly configured connector discoverables
- Existing disabled-suggestion filtering
This avoids a second plugin-manager lookup and keeps connector
suggestions aligned with the plugins actually loaded for the turn.
## Behavior
For example, when a plugin is loaded and its `.app.json` declares data
apps, `list_available_plugins_to_install` can now return those data
connectors.
This does not create plugin suggestions from the plugin itself. Plugin
suggestions still come from eligible uninstalled entries in the
marketplace catalog and require existing matching/filtering rules.
## Validation
- `just fmt`
- Added regression coverage for a loaded-plugin connector ID appearing
in discoverable tools
- Attempted `just test -p codex-core`; the command exited unsuccessfully
in the local test environment without useful failure detail captured in
the run output
Eric Ning
e929bb5c88