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Devin Foley a937b89a47 fix(daytona): valid memory input in env config form + size presets (#8389 )

## Thinking Path

> - Paperclip is the open source app people use to manage AI agents for
work
> - Environments are configured through a JSON-schema-driven form
(`JsonSchemaForm`), and each sandbox provider (here, Daytona) supplies a
manifest describing its fields
> - In the Daytona environment config form, the "memory" field rendered
as a free-text input; on save the value round-tripped to `0`, producing
a server-side "number must be greater than zero" error even when the
user typed a valid number like `2`
> - Rather than patch the free-text input, memory is now a true dropdown
of the sandbox sizes Daytona actually supports, so an invalid value can
no longer be typed or coerced
> - The dropdown leads with a blank "None" row that is selected by
default (meaning "not configured — use Daytona's defaults"); `0` is
never offered because it is not a valid configuration
> - The benefit is that operators pick a valid memory size from a
constrained list, it saves correctly as an integer, and leaving it unset
cleanly omits the field instead of submitting `0`

## Linked Issues or Issue Description

No public GitHub issue exists; describing the bug inline per the bug
report template.

### What happened?

In the Daytona environment configuration form, the memory field is a
free-text input labelled "gigabytes of RAM". Entering a value such as
`2` and saving coerced the value to `0`, and the server rejected the
save with "the number must be greater than zero". There was no way to
enter a valid memory size through the form.

### Expected behavior

Selecting a valid memory size (e.g. `2`) keeps that value and saves
cleanly as an integer. Leaving memory unset is valid and submits no
value (Daytona defaults apply). `0` is never selectable.

### Steps to reproduce

1. Open the environment configuration form for a Daytona sandbox
provider.
2. In the memory field, type `2`.
3. Click Save.
4. Observe the value becomes `0` and the form errors with "the number
must be greater than zero".

## What Changed

- Daytona manifest: `memory` is now an `enum` of the supported sandbox
sizes `[1, 2, 4, 8]` (GiB). It stays optional, so "not configured"
remains valid. `0` is not in the list.
- `JsonSchemaForm` `EnumField`: optional enums now render a leading
blank **None** row that is selected by default when no value is set,
letting the user express "not configured" and clear a previous selection
(Radix `Select` forbids an empty-string item value, so the unset state
maps to a sentinel that translates back to `undefined`).
- `JsonSchemaForm` `EnumField`: when every enum option is numeric, the
selected value is coerced back to a number on change so the payload
keeps the schema's integer type (a stringified `"2"` would otherwise
fail server-side integer validation — this is what fixes the original
bug for the dropdown path).
- Tests: added `EnumField` coverage in `JsonSchemaForm.test.tsx` (blank
row present, no `0`, blank selected by default, numeric coercion, blank
→ unset) and Daytona manifest coverage in the plugin test (memory enum
is `[1,2,4,8]`, excludes `0`, stays optional).

## Verification

- `cd ui && npx vitest run src/components/JsonSchemaForm.test.tsx
src/pages/CompanyEnvironments.test.tsx` → 16/16 passing (14 + 2).
- `vitest run` in `packages/plugins/sandbox-providers/daytona` → 19/19
passing (incl. 3 new manifest tests).
- `cd ui && npx tsc --noEmit` → clean.
- Behavior: the memory field now renders as a dropdown showing **None /
1 / 2 / 4 / 8**, with **None** selected by default. Picking `2` stores
the integer `2`; picking **None** clears the field so it is omitted from
the payload (no `0`, no "must be greater than zero" error).

## Risks

- Low risk. The blank-row + numeric-coercion changes live in
`EnumField`. The blank row is only added for **optional** enums
(required enums are unaffected); numeric coercion only triggers when
every option is numeric, so existing string enums (`egressMode`,
`backend`, `sessionStrategy`) are unchanged. The manifest change is
scoped to the Daytona provider.

## Model Used

Claude (Anthropic), Opus-class model, used via the Paperclip agent
workflow (author + reviewer agents) with tool use and code execution.

## Checklist

- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have searched GitHub for duplicate or related PRs and linked
them above (none found)
- [x] I have either (a) linked existing issues with `Fixes: #` / `Closes
#` / `Refs #` OR (b) described the issue in-PR following the relevant
issue template
- [x] I have not referenced internal/instance-local Paperclip issues or
links
- [x] My branch name describes the change and contains no internal
Paperclip ticket id
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge

2026-06-20 17:58:47 -07:00

src

fix(daytona): valid memory input in env config form + size presets (#8389 )

2026-06-20 17:58:47 -07:00

package.json

fix(plugins): move dev SDK linking out of plugin postinstall scripts (#8255 )

2026-06-18 07:45:53 -07:00

README.md

refactor(environments): make execution environments instance-scoped (#8375 )

2026-06-20 09:42:53 -07:00

tsconfig.json

…

vitest.config.ts

…

README.md

`@paperclipai/plugin-daytona`

Published Daytona sandbox provider plugin for Paperclip.

This package lives in the Paperclip monorepo, but it is intentionally excluded from the root pnpm workspace and shaped to publish and install like a standalone npm package. That lets operators install it from the Plugins page by package name without introducing root lockfile churn for Daytona's SDK dependencies.

Install

From a Paperclip instance, install:

@paperclipai/plugin-daytona

The host plugin installer runs npm install into the managed plugin directory, so transitive dependencies such as @daytonaio/sdk are pulled in during installation.

Configuration

Configure Daytona from Instance Settings -> Environments, not from the plugin's plugin page.

Put the Daytona API key on the sandbox environment itself.
When you save an environment, Paperclip stores pasted API keys as company secrets.
DAYTONA_API_KEY remains an optional host-level fallback when an environment omits the key.
Optional apiUrl and target settings map directly to the Daytona SDK/client configuration. If apiUrl is omitted, the Daytona SDK uses its default endpoint.

Notes:

The current published Daytona SDK package is @daytonaio/sdk.
The driver supports both snapshot-based and image-based sandbox creation. If both are set, validation rejects the config as ambiguous.
Reusable leases map to Daytona stop/start semantics. Non-reusable leases are deleted on release.

Local development

cd packages/plugins/sandbox-providers/daytona
pnpm install --ignore-workspace --no-lockfile
pnpm build
pnpm test
pnpm typecheck

These commands assume the repo root has already been installed once so the local @paperclipai/plugin-sdk workspace package is available to the compiler during development.

Package layout

src/manifest.ts declares the sandbox-provider driver metadata
src/plugin.ts implements the environment lifecycle hooks
paperclipPlugin.manifest and paperclipPlugin.worker point the host at the built plugin entrypoints in dist/