Enables the M1 parallel-reads optimisation on the webapp side. Both
consumers of runPlannerLoop pass an isParallelSafe predicate derived
from the tool catalog:
isParallelSafe: (name) =>
AI_TOOL_CATALOG_BY_NAME.get(name)?.defaultPolicy === 'auto'
Auto-policy tools (list_tasks, get_habits, nutrition_summary, …) run
via Promise.all in batches of 10 when the LLM fans them out in one
round. Propose-policy tools — which surface to the user as Proposal
cards — stay sequential so intent ordering in the inbox is preserved
and pre-execute guardrails can reason about prior-step state.
Tests: 31 existing companion + mission tests pass unchanged; the
parallel path is exercised via the new loop.test.ts cases shipped
with the M1 commit.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
54a12ffd5c