feat(storage): move desktop SQLite ownership into a storage utility process
Main no longer opens desktop business SQLite. A single utility-process
storage owner holds the Assistant, Knowledge, attachment, document-result,
remote-binding and native model-ledger databases and runs whole domain
transactions; Main and Runtime callers use explicit async domain operations.
- Remove the Main readWithFallback path and the supervision worker's
separate business write connection; manifests are scanned read-only and
committed by the sole writer.
- Remote events are ACKed only after commit; process loss reports
unconfirmed writes instead of replaying them.
- Use native utilityProcess messaging with one in-flight bound (32) and
ordered waiting instead of capacity rejection and retries.
- Start the storage process before the window so startup overlaps.
- Keep short tool output in memory and store full output once in owned
storage; paging, branching, restart and deletion reuse that copy.
- Put required runtime launch files under goodbuddy-prefixed owned temp
directories and reclaim confirmed stale ones; stop writing duplicate
parsed.md.
- Add lint guards for SQLite ownership and architecture, concurrency
acceptance fixtures, and maintenance/architecture documentation.
Validation: typecheck and lint pass. Alternating baseline (edf019aa) vs
candidate runs show no regression on single-session, C01, C02, C04 and a
5-minute C06; Main p99 drops from ~21 ms to ~16.7 ms under concurrency.
Fresh portable copy (1.75M events) upgrade content unchanged; real-model
output paging passes with 4 external requests. Full npm test runs had
1-9 different timing-sensitive failures per run that pass when rerun.
Not covered: C03 review publication, C07 source body, app-level C05.
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@@ -344,6 +344,14 @@ export type ConversationQueueItem = z.infer<
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typeof conversationQueueItemSchema
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>
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export const toolOutputReferenceSchema = z.object({
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handle: z.string().min(1),
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nextCursor: z.number().int().nonnegative(),
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totalBytes: z.number().int().nonnegative()
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}).strict()
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export type ToolOutputReference = z.infer<typeof toolOutputReferenceSchema>
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export const conversationToolActivitySchema = z
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.object({
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callId: z.string().optional(),
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@@ -360,6 +368,7 @@ export const conversationToolActivitySchema = z
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summary: z.string(),
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input: z.string().optional(),
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output: z.string().optional(),
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outputReferences: z.array(toolOutputReferenceSchema).optional(),
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error: z.string().optional()
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})
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.strict()
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@@ -436,6 +445,7 @@ const conversationSubagentActivityBaseSchema = z.object({
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reason: z.string().trim().min(1).max(240).optional(),
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progress: conversationMessageBlocksSchema.optional(),
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output: z.string().optional(),
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outputReference: toolOutputReferenceSchema.optional(),
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error: z.string().trim().min(1).max(1_000).optional()
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})
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