Problem
Alluka automations have schedule and aggregate last-run fields, but a manual Run now request remains open until the entire model run completes. There is no first-class automation-run record with a durable start, progress, terminal reason, cancellation state, or retry history.
This makes long automation runs fragile from the caller's perspective and limits observability when multiple scheduled jobs are due. A user cannot reliably inspect an individual run independently of the automation's latest aggregate status.
Feature
Add durable automation-run records and a non-blocking execution lifecycle.
Each scheduled or manually started execution has its own identity, input snapshot, created/started/finished timestamps, session link, run state, terminal reason, and observable task events. The automation definition retains its summary of recent runs without replacing the per-run history.
Expected behavior
- Starting an automation returns a run identity promptly rather than holding the caller until generation ends.
- Runs have clear queued, running, completed, failed, cancelled, and interrupted states.
- Scheduled and manually triggered runs share the same lifecycle and observability.
- Users can inspect the relevant session, task timeline, and sanitized failure reason for an individual run.
- A server restart marks unfinished work accurately rather than presenting it as actively running.
- Concurrent due jobs and repeated manual starts have defined, visible behavior per automation.
- Automation configuration and run history retain no provider/MCP credentials in user-visible output.
Why this matters
Automations are a core durable-agent feature. A separate run lifecycle makes them reliable operational work rather than synchronous chat requests triggered by a schedule.
Reference
Problem
Alluka automations have schedule and aggregate last-run fields, but a manual
Run nowrequest remains open until the entire model run completes. There is no first-class automation-run record with a durable start, progress, terminal reason, cancellation state, or retry history.This makes long automation runs fragile from the caller's perspective and limits observability when multiple scheduled jobs are due. A user cannot reliably inspect an individual run independently of the automation's latest aggregate status.
Feature
Add durable automation-run records and a non-blocking execution lifecycle.
Each scheduled or manually started execution has its own identity, input snapshot, created/started/finished timestamps, session link, run state, terminal reason, and observable task events. The automation definition retains its summary of recent runs without replacing the per-run history.
Expected behavior
Why this matters
Automations are a core durable-agent feature. A separate run lifecycle makes them reliable operational work rather than synchronous chat requests triggered by a schedule.
Reference