MACP Control Plane — Architecture

System Context

The MACP Control Plane is a NestJS service that orchestrates multi-agent coordination sessions. It sits between UI clients and a runtime (currently Rust via gRPC), managing the lifecycle of coordination runs.

┌──────────────┐    HTTP     ┌──────────────────┐    HTTP     ┌──────────────────┐
│  UI Console  ├────────────►│   /api/proxy      ├────────────►│ Examples Service  │
│  (Next.js)   │             │   (Next.js API)   │             │ (Catalog+Compile) │
└──────┬───────┘             └────────┬──────────┘             └──────────────────┘
       │                              │
       │                              │ HTTP/SSE
       │                              ▼
       │                     ┌──────────────────┐      gRPC      ┌──────────────────┐
       └────────────────────►│  Control Plane    ├───────────────►│  MACP Runtime    │
          (via proxy)        │  (NestJS)         │◄───────────────┤  (Rust)          │
                             └────────┬──────────┘                └──────────────────┘
                                      │
                                      ▼
                               ┌──────────────┐
                               │  PostgreSQL   │
                               └──────────────┘

Two Planes

MACP distinguishes between two communication planes:

┌─────────────────────────────────────┐    ┌───────────────────────────────────┐
│   COORDINATION PLANE (binding)       │    │   AMBIENT PLANE (non-binding)     │
│                                      │    │                                   │
│   Session-bound messages:            │    │   Signals (non-session):          │
│   SessionStart → Proposal →         │    │   - empty sessionId, empty mode   │
│   Evaluation → Vote → Commitment    │    │   - broadcast via WatchSignals    │
│                                      │    │   - progress, status, attention   │
│   Enters session history.            │    │   Does NOT enter session history.  │
│   Drives state transitions.          │    │   Used for observability.          │
└─────────────────────────────────────┘    └───────────────────────────────────┘

Deeper explainers: macp-sdk-python/docs/protocol.md#two-planes-of-communication (the plane-split invariant), macp-sdk-python/docs/protocol.md#envelopes (envelope shape + session binding), and macp-runtime/docs/API.md#streaming-watches (WatchSignals semantics on the ambient plane).

Request Flow (observer mode — direct-agent-auth 2026-04-15)

POST /runs  (RunDescriptor — scenario-agnostic; see CP-1)
  → RunsController.createRun()
    → RunExecutorService.launch()
      → resolveSessionId()                   [UUID v4 allocated or validated]
      → RunManagerService.createRun(request, sessionId)   [status: queued]
      → return { runId, sessionId, status, traceId }      [synchronous 202]
      → async execute():
        → markStarted()                      [status: starting]
        → provider.initialize()              [gRPC — mode validation]
        → pollForOpenSession(sessionId)      [GetSession backoff 100ms→1s]
            ↑ waits for initiator agent to emit SessionStart directly
            ↑ NOT_FOUND is retried; an already-RESOLVED session is a success (bind → running →
              poll-only consumer emits the snapshot → completed; no subscribe, no message history)
        → bindSession()                      [status: binding_session]
        → provider.subscribeSession()        [gRPC — read-only StreamSession]
        → markRunning()                      [status: running]
        → StreamConsumerService.start()      [begins event consumption]

The control-plane never calls Send — agents drive the session via their own gRPC connection with their own Bearer tokens (RFC-MACP-0004 §4). The observer StreamSession writes exactly one passive-subscribe frame ({subscribeSessionId, afterSequence}) per RFC-MACP-0006 §3.2 and then keeps the write side open; half-closing would signal "client is done" and cause the runtime to stop forwarding envelopes. The read-only stream filters envelopes by sessionId and never writes another frame.

Runtime Credential Resolution

Every gRPC call goes through RuntimeCredentialResolverService, which resolves the control-plane's observer identity using a three-step fallback chain:

  1. JWT mint (when MACP_AUTH_SERVICE_URL is set) — RuntimeJwtMinterService POSTs to ${url}/tokens for a short-lived RS256 token with scope {is_observer: true, can_start_sessions: false}. Cached until expiry minus a 30s refresh buffer and 10s clock-skew; concurrent refreshes deduped via in-flight promise. Mint failures log auth_mint_failure and fall through.
  2. Static Bearer — attaches RUNTIME_BEARER_TOKEN verbatim. Must match an entry in the runtime's MACP_AUTH_TOKENS_JSON with can_start_sessions: false and is_observer: true — see INTEGRATION.md § Observer authorization contract for why the latter is load-bearing (the runtime's dev-auth fallback can never produce is_observer: true, so a token missing it authenticates fine but fails every GetSession on a session the control-plane did not start).
  3. Dev bearer (deprecated, RUNTIME_USE_DEV_HEADER=true) — runtime v0.5.0 removed the x-macp-agent-id header path entirely, so this fallback now attaches Authorization: Bearer <RUNTIME_DEV_AGENT_ID>. A dev-mode runtime (MACP_ALLOW_INSECURE=1, no auth configured) accepts any bearer and uses its value as the sender identity, so the control-plane keeps its macp-control-plane identity. Rejected in production (fail-fast unless a static bearer or JWT-mint is configured).

For token configuration on the runtime side and the resolver order as the runtime sees it, see macp-runtime/docs/getting-started.md#authentication and macp-runtime/docs/deployment.md#authentication. The minter is covered by src/runtime/runtime-jwt-minter.service.spec.ts (TTL refresh, concurrent-refresh dedupe, 4xx / missing-token / network failure modes).

Event Pipeline

Two gRPC stream sources feed the same normalization pipeline:

                                                   ┌─→ EventRepository
                                                   │    (appendRaw + appendCanonical)
  StreamSession (per-session) ─┐                   │
                               ├→ EventNormalizer ─┼─→ ProjectionService.applyAndPersist
  WatchSignals (ambient)     ─┘  (raw → canonical)  │    (UI read model, per-run lock)
                                                   │
                                                   ├─→ MetricsService.recordEvents
                                                   │    (tokenUsage, costUsd, counts)
                                                   │
                                                   └─→ StreamHubService.publishEvent
                                                        (SSE → live UI subscribers)
  • StreamConsumerService drives the per-session stream with idle timeout + reconnection, and persists a stream cursor for lossless resume.
  • SignalConsumerService drives the ambient WatchSignals stream. Signal envelopes carry an empty sessionId; the consumer correlates each envelope to a run through the decoded payload's correlation_session_id (or envelope.sessionId for progress envelopes that are session-scoped). Without this, agent-emitted signals like llm.call.completed (token usage) would be invisible.
  • RunEventService.persistRawAndCanonical runs sequence allocation, raw append, canonical append, and projection update inside a single DB transaction. When the caller passes cursor.envelopeOrdinal, last_envelope_ordinal is written in that same transaction, so a crash cannot leave the resume ordinal behind the persisted events. Post-commit steps (metrics, SSE publish, snapshot publish, span events) are each caught and logged on their own — a rethrow would make the consumer re-ingest an already-durable envelope on reconnect (duplicate rows). Failures count in macp_post_commit_side_effect_failures_total{step}.
  • Run-metadata self-heal. A terminal run whose enrichment ran before decision.finalized was persisted (cross-stream race) is repaired lazily on read (RunManagerService, from metrics.decisionCount).
  • Graceful drain. An error escaping after shutdown began is not recorded as a run failure; RunRecoveryService resumes the run on next start (see Key Design Decisions #10).

Session Discovery (WatchSessions)

When SESSION_DISCOVERY_ENABLED=true (default), the SessionDiscoveryService subscribes to the runtime's WatchSessions gRPC stream and auto-creates run records for sessions started by external launchers (not via POST /runs). For each created event, it creates a run, binds the session, subscribes the observer stream, and begins projecting events. Terminal events (resolved, expired) finalize the auto-discovered run.

SignalConsumerService is gated on the same SESSION_DISCOVERY_ENABLED flag — if session discovery is off, ambient signals are also ignored.

This enables the control-plane to observe and project any session the runtime hosts, even if the launching service doesn't use the control-plane's POST /runs endpoint.

The three long-running observation services (StreamConsumerService, SessionDiscoveryService, SignalConsumerService) each track their in-flight loop promise and drain it on onModuleDestroy with a bounded 2s timeout. Reconnect sleeps are cancellable via an aborted timer, so shutdown doesn't stall for 5s after a transient stream end. This matters for both production graceful shutdown and integration-test teardown — it's the fix that lets the DB pool close after all persistRawAndCanonical chain entries have resolved, rather than under them. The integration-test helper (test/helpers/test-app.ts) also wires drainBackgroundWork() into app.close() to force-terminate in-progress runs before the drain.

Stream Resume & Cross-Process Recovery (runtime v0.5.0, T7)

Every runtime_sessions row tracks two independent markers, both written together in a single updateStreamCursor call, inside the event transaction (see Event Pipeline), after each processed raw item. Snapshots and stream-status frames included — for those only the ordinal write is a no-op (the monotonic floor), while last_stream_cursor still advances:

  • last_stream_cursor — the control-plane's own canonical event seq for the run. Purely a CP-side bookkeeping value (e.g. used to compute resumeFromSeq for the poll-only fallback); the runtime has no notion of it.
  • last_envelope_ordinal — the runtime's 1-based, exclusive, compaction-stable count of accepted envelopes delivered on this run's per-session StreamSession. This is the value passed back to the runtime as after_sequence on StreamSession to resume a subscription without re-replaying history already ingested. Only session-stream envelopes increment it — ambient signals, snapshots, and stream-status frames do not.

Both values are strictly monotonic per run by their own semantics, so RuntimeSessionRepository.updateStreamCursor writes them as a GREATEST floor in a single UPDATE (GREATEST(COALESCE(last_stream_cursor, 0), $cursor) / GREATEST(last_envelope_ordinal, $ordinal)) rather than a blind .set(). This is not a read-then-write — there is no race window — it simply makes an entire class of clobber bugs (an unseeded resume marker, a stale caller value, a race between writers) structurally impossible: on the happy path the floor is a no-op, since a real value is always ≥ what's already stored.

In-process resume (no restart): on a stream disconnect, StreamConsumerService resubscribes from the in-memory marker.envelopeOrdinal it has been incrementing as envelopes are durably persisted (stream-consumer.service.ts, gated on STREAM_RESUME_ENABLED).

Cross-process resume (control-plane restart): RunRecoveryService re-derives the resume point from the persisted last_envelope_ordinal on onApplicationBootstrap, since the in-memory marker is gone.

  • With STREAM_RESUME_ENABLED=true (default), recovery resolves the run's runtime provider and calls subscribeSession({ runId, runtimeSessionId, afterSequence: session.lastEnvelopeOrdinal }) to reattach the per-session StreamSession directly, seeding StreamConsumerService.start() with that handle and pollOnly: false.
  • With the flag off, or if resolving the provider / calling subscribeSession fails, recovery falls back to the poll-only path (GetSession polling) — but still seeds resumeFromEnvelopeOrdinal from the persisted value. A failed subscribe never fails recovery; the run is still recovered, just via poll-only.
  • The ordinal is a property of the session's history, not of the transport mode, so it is seeded identically on every path (resume-enabled, resume-disabled, subscribe-failure fallback). The historical bug this guards against: seeding only resumeFromSeq and leaving the envelope-ordinal marker at its zero default caused the very first poll cycle's session-snapshot (which always normalizes to a positive seq) to pass the lastProcessedSeq > 0 persistence guard and write 0 back over the real stored ordinal — destroying the resume point within one poll cycle of every restart, so a run surviving a second restart (or any flag-off recovery) would resume from 0 and re-ingest its entire session history as duplicates. The GREATEST floor above closes this class of bug structurally; seeding the ordinal on every recovery path closes the specific instance of it.

Bias toward resuming too low, never too high. There is no message-id dedup in the control-plane — a redelivered envelope inserts a genuinely duplicate row (fresh randomUUID(), freshly allocated seq; only the unique index on (run_id, seq) prevents literal double-processing of the same seq, not duplicate ingestion of the same envelope under a new one). A too-low resume is therefore recoverable in principle (duplicates are at least detectable). A too-high resume is not: the runtime's get_incoming_after returns Ok(empty) both for an out-of-range ordinal and for a missing/evicted session log, and attaches the live broadcast either way — so a skipped range of history disappears with no error, no gap event, and live envelopes still flowing normally. This is why recovery never invents an ordinal and never resubscribes from 0 as a fallback strategy — 0 is only ever the correct value for a session with no prior persisted ordinal (a genuinely fresh run), never a substitute for a marker that failed to seed.

The FAILED_PRECONDITION → session.stream.gap → poll-only safety net (already in stream-consumer.service.ts, exercised whether the handle came from initial start() or from RunRecoveryService's cross-process resume) is what protects a resume point that was valid when persisted but has since been compacted out of the runtime's log: isCompactedHistoryTerminalError (terminal stream errors) recognizes gRPC FAILED_PRECONDITION (code 9) or a match against COMPACTED_HISTORY_RE (/history before ordinal \d+ was compacted/i, unanchored so it matches both a bare message and grpc-js's "<code> <CODE_NAME>: <details>"-prefixed form); the sibling isCompactedHistoryInlineError applies the same regex, text-only, to inline frames. emitStreamGap emits a session.stream.gap canonical event and flags the projection historyGap: true (idempotent per run via marker.historyGap), and the consumer degrades to poll-only without ever resubscribing from 0 — the gap is made visible instead of silently skipped. test/integration/stream-gap.integration.spec.ts covers this path against a scripted mock runtime.

How the rejection actually arrives against runtime 0.7.0+ — not as a stream error. Live re-verification found that the runtime does not end the stream for a compacted-history resume: is_stream_terminal_error (macp-runtime/src/server.rs:748-756) omits FailedPrecondition, so the rejection is delivered as a non-terminal inline MACPError frame with the stream left open (server.rs:611-629). The consumer therefore also classifies the inline frame, not just the stream-error path — without that, the gap event never fired at all and the consumer sat on an open stream that had replayed nothing.

Two caveats a maintainer should know. First, detection matches on the message text, because the runtime sets the inline frame's code to status.message() rather than a status name — so there is no machine-readable code to key on, and a future rewording of that string breaks detection silently. The regex was tightened from a loose /compact/i substring match (which false-positived on operator-authored PolicyDenied reasons mentioning "compact") to the sentence-specific COMPACTED_HISTORY_RE above, closing that false-positive without changing the "future rewording breaks detection" trade-off. Second, the gap classification now runs before the STREAM_RESUME_ENABLED check (reversed from an earlier version of this code, which skipped gap recording whenever resume was disabled) — with resume disabled, a compaction is now correctly recorded (session.stream.gap emitted, historyGap: true set) before the consumer degrades to poll-only, matching the behavior with resume enabled. test/integration/stream-resume-live.integration.spec.ts proves the whole path end to end against a real runtime; it is gated and skips under the mock runtime CI pins.

Known residual gap (accepted, not fixed): the cursor write in RunEventService.persistRawAndCanonical happens outside the same DB transaction as the canonical-event insert, so a crash between that commit and the cursor write lags the stored ordinal by exactly one envelope — the next resume (in-process or cross-process) re-ingests that one envelope as a duplicate. This is a bounded, single-envelope duplicate on an unclean crash, not a gap; folding the cursor write into the hot-path transaction would be a larger change than this trade-off currently justifies.

Operational note: sessions restarted before this feature shipped

last_envelope_ordinal was write-only before cross-process resume landed, and worse, every restart overwrote it with 0 (recovery seeded the in-memory marker at 0 and the cursor write was a blind SET). Rows carrying that clobbered 0 may still exist for runs that were active across an upgrade.

For such a run, the first restart after this feature deploys resubscribes with after_sequence: 0, which the runtime cannot distinguish from a genuinely fresh subscription — so it replays the full session history and the control-plane re-ingests it as duplicate events. This is a bounded, one-time effect: it only touches runs that were active across the deploy and had already survived an earlier restart, and the monotonic floor means the clobber cannot recur afterwards.

It is deliberately not "fixed" by reconstructing the ordinal from the raw event count: that count includes any duplicates already present, so it can overshoot the true delivered ordinal — and overshooting resumes too high, which the runtime answers with an empty replay plus a live broadcast, losing the skipped range with no error and no gap event. Duplicated events are detectable after the fact; silently skipped ones are not.

Message / Signal / Context — removed (direct-agent-auth CP-5/6/7)

The POST /runs/:id/{messages,signal,context} endpoints were removed 2026-04-15 and now return 410 Gone with errorCode: ENDPOINT_REMOVED. Agents emit envelopes directly against the runtime using macp-sdk-python / macp-sdk-typescript. The control-plane observes those envelopes through its read-only subscribeSession stream and normalizes them into canonical events via the pipeline above.

Layer Map

LayerDirectoryResponsibility
Controllerssrc/controllers/HTTP endpoints — runs, runtime, dashboard, webhooks, admin, health
Run Orchestrationsrc/runs/RunManager (state machine), RunExecutor (coordination), StreamConsumer (per-session event loop), SessionDiscovery (WatchSessions), SignalConsumer (WatchSignals)
Runtime Abstractionsrc/runtime/RuntimeProvider interface, RustRuntimeProvider (gRPC), ProtoRegistryService, RuntimeCredentialResolverService (JWT → static-bearer → dev-bearer chain), RuntimeJwtMinterService (short-lived JWT mint + cache)
Eventssrc/events/Normalization (raw→canonical), transactional persistence, SSE publishing
Projectionsrc/projection/Applies canonical events to build UI read models (versioned)
Dashboardsrc/dashboard/Aggregated KPIs (runs, signals, tokens, cost), recent runs, runtime health, time-series charts
Insightssrc/insights/Export bundles, run comparison
Webhookssrc/webhooks/Webhook registration, HMAC delivery, retry logic
Auditsrc/audit/Administrative action logging
Storagesrc/storage/Drizzle repository per entity
DBsrc/db/Drizzle client as @Global NestJS module, programmatic migrations
Contractssrc/contracts/TypeScript interfaces for execution and events
DTOssrc/dto/Request/response validation with class-validator
Errorssrc/errors/Error codes, AppException, global filter
Telemetrysrc/telemetry/OpenTelemetry tracing, Prometheus metrics

Run State Machine

queued → starting → binding_session → running ──────→ completed
  │         │              │             │  ▲
  │         │              │             ▼  │
  │         │              │          suspended        (non-terminal pause,
  │         │              │             │              macp-proto 0.1.3)
  └────┬────┘──────┬───────┘─────┬───────┘
       ▼           ▼             ▼
     failed     cancelled

Terminal states: completed, failed, cancelled (no outgoing transitions). running ⇄ suspended is the non-terminal pause/resume pair: POST /runs/:id/suspend calls runtime.SuspendSession (TTL banked), POST /runs/:id/resume restores it. Both are Core control-plane RPCs — not Send — so they are permitted under the observer invariant. A suspended run can still be cancelled or fail.

Database Schema

11 tables: runs (includes archived_at timestamp for archive tracking), runtime_sessions, run_events_raw, run_events_canonical, run_projections, run_artifacts, run_metrics, run_outbound_messages, audit_log, webhooks, webhook_deliveries.

Key relationships:

  • All run-related tables reference runs.id with ON DELETE CASCADE
  • Events use (run_id, seq) unique indexes for ordering and deduplication
  • Projections use run_id as primary key (one projection per run)
  • Webhooks use outbox pattern for reliable delivery

Coordination Modes

The control-plane is mode-agnostic — it forwards mode URIs to the runtime, observes the resulting envelopes, and projects them for the UI. The canonical mode specifications (message flow, terminal conditions, payload shapes) live in the runtime docs:

All modes terminate with Commitment (macp.v1.CommitmentPayload). The control-plane normalises the per-mode message types into two canonical events — proposal.created / proposal.updated — preserving messageType in data.messageType for discrimination. See the Canonical Event Types table in API.md for the mapping.

Key Design Decisions

  1. Scenario-agnostic: Accepts only a generic RunDescriptor — scenario-specific fields (kickoff[], participants[].role, policyHints, commitments[], initiatorParticipantId) are rejected with 400 via forbidNonWhitelisted: true.
  2. Three-layer event pipeline: Raw → canonical → projections. Raw preserves original data; canonical provides normalized, typed view.
  3. Observer-only streaming: subscribeSession({runId, sessionId, afterSequence?}) returns a read-only RuntimeSessionHandle — events async iterable + abort(). No send(). The provider writes exactly one passive-subscribe frame and keeps the write side open for the session's lifetime (RFC-MACP-0006 §3.2).
  4. JWT-first runtime auth: The credential resolver prefers minted short-lived JWTs (via MACP_AUTH_SERVICE_URL) and falls back to a static Bearer or a deprecated dev bearer. Scopes are fixed at mint time (is_observer: true, can_start_sessions: false) so the observer identity can never accidentally gain write authority.
  5. Transactional event persistence: Sequence allocation + persistence in single DB transaction.
  6. Snake_case → camelCase normalization: ProtoRegistryService converts Python/JSON snake_case to protobufjs camelCase.
  7. Proto-encoded payloads: Real runtime requires proto encoding; control plane supports JSON fallback for testing.
  8. Circuit breaker: CLOSED/OPEN/HALF_OPEN wrapping all gRPC unary calls with configurable threshold and reset.
  9. Bindable idempotency: bindSession catches ConflictException from the state-machine guard and returns the current run, so a raced transition (RunExecutor vs SessionDiscovery) logs a warning instead of crashing the process.
  10. Graceful drain on shutdown: Background observation services expose tracked loop promises and a bounded drain (default 2s) from onModuleDestroy, ensuring in-flight persistRawAndCanonical chain entries complete before the DB pool closes. WebhookService follows the same pattern — it tracks in-flight deliveries and cancels pending retry-backoff timers on onModuleDestroy, so a delivery retry can't wake after the pool closes and write against a dead connection.

CI/CD & Deployment

The pipeline (lint → typecheck → tests → audit/scans → build → Docker) and the release/deploy flow are documented in CICD.md. Production deployment is single-VM Docker Compose — see deploy/README.md.

Operating alongside runtime v0.5.0

  • Runtime metrics: the control-plane exposes its own Prometheus metrics at GET /metrics (prom-client, @Public()). The runtime independently exposes its own Prometheus endpoint via MACP_METRICS_ADDR (e.g. MACP_METRICS_ADDR=0.0.0.0:9464). Scrape both to cover the CP and the runtime — nothing in the CP scrapes the runtime for you. For local debugging you can expose 9464 from the runtime container.
  • JWT algorithms: runtime v0.5.0 removed HS256 from the default JWT algorithm allowlist (RS256/ES256 only). The CP mints RS256 tokens via the auth-service, so no CP change is needed. Deployments that intentionally use shared-secret HS256 tokens against the runtime must opt in explicitly with MACP_AUTH_JWT_ALGS=HS256 on the runtime side.
  • Dev-mode startup: runtime v0.5.0 refuses to start without MACP_ALLOW_INSECURE=1, and the published image no longer bakes it in — set it explicitly for local/dev/test runtimes.