feat(ai-chat): durable detached agent runs — phase 1 (#184/#234)
Squashed for a clean rebase onto develop (was 19 commits; the reviewer approved
the net diff at fb246080). Detaches an agent run from the HTTP request/browser
window: a run is a first-class lifecycle object (ai_chat_runs), a browser
disconnect no longer kills it, a concurrent-run insert-gate prevents double runs,
and a reopened chat live-follows a still-running run via a polled observer merge.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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import { type Kysely, sql } from 'kysely';
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/**
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* `ai_chat_runs` — the agent RUN as a first-class, server-side lifecycle object
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* (#184 phase 1: autonomous agent runs detached from the browser window).
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*
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* Until now an agent turn lived ONLY as long as the HTTP request was open
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* (`res.hijack()` in ai-chat.controller.ts); a browser disconnect aborted it.
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* This table makes a turn a persistent object the server owns: it is created
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* when a run starts (inserted directly as 'running' in phase 1 — 'pending' is
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* only this column's default + a reserved value, never written by code yet) and
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* advances to succeeded|failed|aborted, surviving the subscriber (browser) going
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* away when it settles. The DB is the source of
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* truth — a later client reconnects/sees the result by reading this row plus the
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* assistant message it projects (`assistant_message_id`).
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*
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* The assistant message row (#183 step-granular durability) is the PROJECTION of
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* a run's output; this row is the run's LIFECYCLE. They are linked by
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* `assistant_message_id` (SET NULL if the message is later pruned).
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*
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* `status` : 'pending' | 'running' | 'succeeded' | 'failed' | 'aborted'.
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* `trigger` : 'user' | 'autostart' | 'schedule' | 'api' | 'continue' — only
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* 'user' is produced in phase 1; the others are reserved for the
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* autonomy triggers deferred to phase 2 so they need no later
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* migration.
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*
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* ONE ACTIVE RUN PER CHAT is enforced by a partial unique index on `chat_id`
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* WHERE status IN ('pending','running'): an autonomous run and a user run can
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* never trample each other on the same chat. Settled runs (succeeded/failed/
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* aborted) are excluded from the index so a chat can accumulate any number of
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* historical runs.
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*/
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export async function up(db: Kysely<any>): Promise<void> {
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await db.schema
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.createTable('ai_chat_runs')
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.ifNotExists()
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.addColumn('id', 'uuid', (col) =>
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col.primaryKey().defaultTo(sql`gen_uuid_v7()`),
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)
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.addColumn('chat_id', 'uuid', (col) =>
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col.references('ai_chats.id').onDelete('cascade').notNull(),
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)
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.addColumn('workspace_id', 'uuid', (col) =>
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col.references('workspaces.id').onDelete('cascade').notNull(),
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)
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// The human who triggered the run (audit). SET NULL on user deletion so the
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// run history outlives its author; NULL is also the natural value for a
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// future system/cron/api trigger with no human actor.
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.addColumn('created_by', 'uuid', (col) =>
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col.references('users.id').onDelete('set null'),
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)
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// The assistant message this run materializes (the #183 projection). SET NULL
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// if that message row is later deleted; nullable because the run row is
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// created a moment BEFORE the assistant row is seeded.
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.addColumn('assistant_message_id', 'uuid', (col) =>
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col.references('ai_chat_messages.id').onDelete('set null'),
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)
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.addColumn('trigger', 'varchar(20)', (col) =>
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col.notNull().defaultTo('user'),
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)
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.addColumn('status', 'varchar(20)', (col) =>
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col.notNull().defaultTo('pending'),
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)
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// Terminal error message for a failed run (provider/transport cause),
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// mirroring the assistant message's metadata.error.
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.addColumn('error', 'text', (col) => col)
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// Number of agent steps finished so far (kept monotonic with the projection).
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.addColumn('step_count', 'integer', (col) => col.notNull().defaultTo(0))
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// Set when an EXPLICIT user stop is requested (distinct from a mere browser
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// disconnect, which never stops a run). The runner aborts the turn and the
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// run settles as 'aborted'.
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.addColumn('stop_requested_at', 'timestamptz', (col) => col)
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.addColumn('started_at', 'timestamptz', (col) => col)
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.addColumn('finished_at', 'timestamptz', (col) => col)
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.addColumn('created_at', 'timestamptz', (col) =>
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col.notNull().defaultTo(sql`now()`),
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)
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.addColumn('updated_at', 'timestamptz', (col) =>
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col.notNull().defaultTo(sql`now()`),
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)
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.execute();
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// Reconnect / "latest run for this chat" reads hit chat_id first.
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await db.schema
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.createIndex('ai_chat_runs_chat_id_idx')
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.ifNotExists()
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.on('ai_chat_runs')
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.column('chat_id')
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.execute();
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// One ACTIVE run per chat (advisory at the DB level): a second pending/running
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// run on the same chat is rejected, so a user turn and an autonomous turn can
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// never race on the same chat. Partial so settled runs do not collide.
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await db.schema
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.createIndex('ai_chat_runs_one_active_per_chat')
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.ifNotExists()
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.on('ai_chat_runs')
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.column('chat_id')
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.unique()
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.where(sql.ref('status'), 'in', sql`('pending','running')`)
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.execute();
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}
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export async function down(db: Kysely<any>): Promise<void> {
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await db.schema.dropTable('ai_chat_runs').execute();
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}
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