Three Claude-Code-inspired primitives for runPlannerLoop, derived from the
reverse-engineering reports in docs/reports/:
1. **Policy gate** (@mana/tool-registry) — evaluatePolicy() gates every tool
dispatch: denies admin-scope, denies destructive tools not in the user's
opt-in list, rate-limits per tool (30/60s default), flags prompt-injection
markers in freetext without blocking. Wired into mana-mcp with a
per-user rolling invocation log and POLICY_MODE env (off|log-only|enforce,
default log-only). mana-ai uses detectInjectionMarker only — tool dispatch
there is plan-only, so rate-limit/destructive checks don't apply yet.
2. **Reminder channel** (packages/shared-ai/src/planner/loop.ts) — new
reminderChannel callback in PlannerLoopInput. Called once per round with
LoopState snapshot (round, toolCallCount, usage, lastCall); returned
strings wrap in <reminder> tags and inject as transient system messages
into THIS LLM request only. Never pushed to messages[] — the Claude-Code
<system-reminder> pattern that keeps the KV-cache prefix stable.
3. **Parallel reads** (loop.ts) — isParallelSafe predicate enables
Promise.all dispatch when every tool_call in a round is parallel-safe,
in batches of PARALLEL_TOOL_BATCH_SIZE=10. Any non-safe call downgrades
the whole round to sequential. messages[] always appends in source
order, never completion order, so the debug log stays linear.
Default-off (undefined predicate) preserves pre-M1 behaviour.
Tests: 21 new in tool-registry (policy), 9 new in shared-ai (5 parallel,
4 reminder). All 74 green, type-check clean across 4 packages.
Design/plan: docs/plans/agent-loop-improvements-m1.md
Reports: docs/reports/claude-code-architecture.md,
docs/reports/mana-agent-improvements-from-claude-code.md
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Background Hono/Bun service that scans mana_sync for due Missions and
will plan them via mana-llm without requiring an open browser tab.
Complements the foreground `startMissionTick` in the webapp.
v0.1 scope — scaffold that's deployable, boots cleanly, and reads real
data. Execution write-back is tracked as the next PR so we don't commit
a half-baked proposal-sync design.
Shipped:
- Hono app on :3066 with `/health` + service-key-gated `/internal/tick`
- `src/db/missions-projection.ts` — field-level LWW replay of
`sync_changes` for appId='ai' / table='aiMissions' → live Mission
records. Mirrors the webapp's `applyServerChanges` semantics against
Postgres instead of Dexie.
- `src/db/connection.ts` — bounded `postgres.js` pool (max 4, idle 30s)
- `src/cron/tick.ts` — overlap-guarded scheduler, `runTickOnce()` also
reachable via HTTP for CI/ops triggering
- `src/planner/client.ts` — mana-llm HTTP client shape
(OpenAI-compatible `/v1/chat/completions`)
- `src/middleware/service-auth.ts` — X-Service-Key gate, no end-user JWTs
reach this service
- Dockerfile + graceful SIGTERM shutdown (stops timer + releases pool)
Not yet implemented (documented in CLAUDE.md with design trade-offs):
- Prompt/parser server-side copies — today they live in the webapp.
Recommended next step: extract `@mana/shared-ai` package.
- Input resolvers for notes / kontext / goals — need projections or a
mana-sync internal endpoint
- Plan → Mission-iteration write-back + how proposals get back to the
user's device (leaning option (a): server writes iterations, the
webapp's sync effect translates them into local Proposals)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
