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>
This commit is contained in:
agent_coder
2026-07-04 23:20:21 +03:00
parent 5336f06d10
commit 68899a2c2e
37 changed files with 4535 additions and 605 deletions
@@ -0,0 +1,106 @@
import { type Kysely, sql } from 'kysely';
/**
* `ai_chat_runs` — the agent RUN as a first-class, server-side lifecycle object
* (#184 phase 1: autonomous agent runs detached from the browser window).
*
* Until now an agent turn lived ONLY as long as the HTTP request was open
* (`res.hijack()` in ai-chat.controller.ts); a browser disconnect aborted it.
* This table makes a turn a persistent object the server owns: it is created
* when a run starts (inserted directly as 'running' in phase 1 — 'pending' is
* only this column's default + a reserved value, never written by code yet) and
* advances to succeeded|failed|aborted, surviving the subscriber (browser) going
* away when it settles. The DB is the source of
* truth — a later client reconnects/sees the result by reading this row plus the
* assistant message it projects (`assistant_message_id`).
*
* The assistant message row (#183 step-granular durability) is the PROJECTION of
* a run's output; this row is the run's LIFECYCLE. They are linked by
* `assistant_message_id` (SET NULL if the message is later pruned).
*
* `status` : 'pending' | 'running' | 'succeeded' | 'failed' | 'aborted'.
* `trigger` : 'user' | 'autostart' | 'schedule' | 'api' | 'continue' — only
* 'user' is produced in phase 1; the others are reserved for the
* autonomy triggers deferred to phase 2 so they need no later
* migration.
*
* ONE ACTIVE RUN PER CHAT is enforced by a partial unique index on `chat_id`
* WHERE status IN ('pending','running'): an autonomous run and a user run can
* never trample each other on the same chat. Settled runs (succeeded/failed/
* aborted) are excluded from the index so a chat can accumulate any number of
* historical runs.
*/
export async function up(db: Kysely<any>): Promise<void> {
await db.schema
.createTable('ai_chat_runs')
.ifNotExists()
.addColumn('id', 'uuid', (col) =>
col.primaryKey().defaultTo(sql`gen_uuid_v7()`),
)
.addColumn('chat_id', 'uuid', (col) =>
col.references('ai_chats.id').onDelete('cascade').notNull(),
)
.addColumn('workspace_id', 'uuid', (col) =>
col.references('workspaces.id').onDelete('cascade').notNull(),
)
// The human who triggered the run (audit). SET NULL on user deletion so the
// run history outlives its author; NULL is also the natural value for a
// future system/cron/api trigger with no human actor.
.addColumn('created_by', 'uuid', (col) =>
col.references('users.id').onDelete('set null'),
)
// The assistant message this run materializes (the #183 projection). SET NULL
// if that message row is later deleted; nullable because the run row is
// created a moment BEFORE the assistant row is seeded.
.addColumn('assistant_message_id', 'uuid', (col) =>
col.references('ai_chat_messages.id').onDelete('set null'),
)
.addColumn('trigger', 'varchar(20)', (col) =>
col.notNull().defaultTo('user'),
)
.addColumn('status', 'varchar(20)', (col) =>
col.notNull().defaultTo('pending'),
)
// Terminal error message for a failed run (provider/transport cause),
// mirroring the assistant message's metadata.error.
.addColumn('error', 'text', (col) => col)
// Number of agent steps finished so far (kept monotonic with the projection).
.addColumn('step_count', 'integer', (col) => col.notNull().defaultTo(0))
// Set when an EXPLICIT user stop is requested (distinct from a mere browser
// disconnect, which never stops a run). The runner aborts the turn and the
// run settles as 'aborted'.
.addColumn('stop_requested_at', 'timestamptz', (col) => col)
.addColumn('started_at', 'timestamptz', (col) => col)
.addColumn('finished_at', 'timestamptz', (col) => col)
.addColumn('created_at', 'timestamptz', (col) =>
col.notNull().defaultTo(sql`now()`),
)
.addColumn('updated_at', 'timestamptz', (col) =>
col.notNull().defaultTo(sql`now()`),
)
.execute();
// Reconnect / "latest run for this chat" reads hit chat_id first.
await db.schema
.createIndex('ai_chat_runs_chat_id_idx')
.ifNotExists()
.on('ai_chat_runs')
.column('chat_id')
.execute();
// One ACTIVE run per chat (advisory at the DB level): a second pending/running
// run on the same chat is rejected, so a user turn and an autonomous turn can
// never race on the same chat. Partial so settled runs do not collide.
await db.schema
.createIndex('ai_chat_runs_one_active_per_chat')
.ifNotExists()
.on('ai_chat_runs')
.column('chat_id')
.unique()
.where(sql.ref('status'), 'in', sql`('pending','running')`)
.execute();
}
export async function down(db: Kysely<any>): Promise<void> {
await db.schema.dropTable('ai_chat_runs').execute();
}