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1c6201be50
Executes one iteration end-to-end: resolve Mission inputs → build the
policy-filtered tool allowlist → invoke the Planner → stage each
PlannedStep as a Proposal (or auto-run if policy says so) → finalize
the iteration with summary + status.
- `data/ai/missions/runner.ts`
- `runMission(id, deps)` runs a single iteration. Planner + stageStep
are injected so the Runner is unit-testable without a live LLM.
- `runDueMissions(now, deps)` scans for active missions past their
nextRunAt and runs each once. Safe to call on a foreground tick.
- Reuses the iteration id returned by `startIteration` so
`finishIteration` updates the same row (fixed a dup-id bug the
tests caught).
- `data/ai/missions/input-resolvers.ts` — registry: modules register a
resolver at init, Runner looks up by module name. Missing resolvers
degrade gracefully to "fewer inputs", never crash a run.
- `data/ai/missions/available-tools.ts` — exposes only tools the AI
policy rates non-`deny`. Defence-in-depth with the executor + parser.
overallStatus derivation:
0 steps → 'approved' (no-op run is valid)
all steps failed → 'failed'
any step staged (proposal id) → 'awaiting-review'
all steps ran auto → 'approved'
Planner throw is caught and recorded as a failed iteration — one bad
mission can't stall the queue.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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