## 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
Devin Foley
a937b89a47