ECC/docs/control-plane/VIEW-CONTRACT.md

ECC control-plane live view: ecc.control-plane.view.v1

Status: shipped with the control pane (scripts/lib/control-pane/control-plane-view.js). Read-only. Advisory only.

The view joins three things the repo already computes separately and serves them as one JSON document shaped as tasks, lanes and events, so another control plane (the Ito ops board, a Hermes or Codex reader, a hook) can consume it without knowing ECC internals.

Input	Where it comes from
Sessions	scripts/lib/control-pane/state.js, the ECC2 sessions table
Pairwise proximity	scripts/lib/agent-proximity/ (noisy-OR over x_tree, x_overlap, x_dep) via scripts/lib/control-pane/proximity.js
2D projection	scripts/lib/agent-proximity/projection.js (rolling z-score, tails clipped at 2.5 / 97.5, PCA)
Coordination inventory	scripts/lib/coordination-inventory.js (PR #3028): declared tasks and sessions, heartbeat freshness, lease conflicts

Endpoints

Served by node scripts/control-pane.js (loopback only, same Host and Origin gate as the rest of the pane):

Route	Returns
GET /control-plane	Self-contained HTML page: 2D projection canvas, lanes and tasks, event feed. No external scripts.
GET /api/control-plane	The full view document below.
GET /api/control-plane/events	{ schemaVersion, generatedAt, thresholds, events, counts } only, for hooks and pollers.

The server keeps one projection window per process, so z-scores roll across polls. Options on createControlPaneServer: projection (windowSize, clipPercentiles, minWindowForZscore), viewOptions (thresholds, manifest, channelWeights), proximityOptions (passed to the scan).

Document

{
  "schemaVersion": "ecc.control-plane.view.v1",
  "generatedAt": "2026-09-11T20:01:00.000Z",
  "source": { "snapshotSchema": "ecc.control-pane.snapshot.v1", "repoRoot": "...", "dbPath": "..." },
  "thresholds": { "ta": 0.35, "ra": 0.7, "source": "static" },
  "lanes": [ { "id": "harness:codex", "label": "codex", "kind": "harness", "taskIds": ["session-a"] } ],
  "tasks": [ { "...": "see Task" } ],
  "pairs": [ { "...": "see Pair" } ],
  "events": [ { "...": "see Event" } ],
  "projection": { "...": "see Projection" },
  "inventory": { "...": "see Inventory" },
  "counts": { "lanes": 1, "tasks": 1, "agents": 1, "pairs": 0, "events": 0, "advisories": 0, "resolutions": 0 },
  "limits": [ "..." ]
}

Task

One task per session. A session with no changed files is still a task; it has no projection point and no pairs.

Field	Meaning
id	Session id, unchanged.
lane	Lane id this task belongs to.
label	Session task text, or the id.
harness, agentType, state, pid	From the session row.
worktree	{ path, branch, base } or null.
heartbeatAt, updatedAt	ISO timestamps or null.
workingSet	{ fileCount, files }: the worktree diff against its base.
projection	{ point, pairs, maxRisk } where point is [x, y] or null. point is the risk-weighted centroid of the task's pair points in PCA space.
inventory	{ id, heartbeat, process, authority: "declared-only" }. id is the sanitized identifier used in the inventory manifest; heartbeat and process are the #3028 observations.

Lane

A grouping of tasks. Precedence: task-group (session task_group), then project, then harness. Ids are prefixed (group:, project:, harness:) so a consumer can tell the kinds apart without reading kind.

Pair

One row per agent pair from the airspace scan (only sessions with edits participate).

Field	Meaning
a, b	Session ids.
risk, level	Noisy-OR risk and the scan's level (clear, advisory, resolution) at the scan's thresholds.
channels	Raw { x_tree, x_overlap, x_dep } in [0, 1].
normalized	The same after z-score, clip and map-back, or equal to channels while the window is cold.
point	[pc1, pc2] PCA scores.

Event

Something an operator or a hook may act on. Ids are deterministic across polls so a consumer can dedupe.

{
  "id": "proximity.advisory:session-a|session-b:resolution",
  "kind": "proximity.advisory",
  "level": "resolution",
  "severity": "critical",
  "at": "2026-09-11T20:01:00.000Z",
  "subject": { "a": "session-a", "b": "session-b", "aLabel": "...", "bLabel": "..." },
  "risk": 1,
  "distance": 0,
  "channels": { "x_tree": 1, "x_overlap": 1, "x_dep": 0 },
  "threshold": { "ta": 0.35, "ra": 0.7, "crossed": "ra", "source": "static" },
  "action": { "type": "steer", "steer": "session-b", "hold": "session-a" },
  "message": "Resolution advisory: session-b steers, session-a holds (risk 100%, static threshold 0.7)."
}

Kind	Levels	Action types	Source
proximity.advisory	traffic (risk at or above ta), resolution (at or above ra)	transmit (both agents share intent), steer (steer moves, hold keeps course)	Every pair link, evaluated against the view's thresholds. Right-of-way: more progress, then earlier start, then stable id.
inventory.lease-conflict	conflict	review	#3028 leaseConflicts. Declared-only, never a lock.

Thresholds are static per view (source: "static"). A learned threshold, closure-rate escalation, and the pause and wait maneuvers are slice (b), see TCAS-HOOK.md.

Projection

{
  "method": "pca",
  "channels": ["x_tree", "x_overlap", "x_dep"],
  "weights": { "x_tree": 0.25, "x_overlap": 1, "x_dep": 0.9 },
  "normalization": "zscore-clipped",
  "window": { "samples": 12, "percentiles": [2.5, 97.5], "channels": [ { "channel": "x_tree", "mean": 0.39, "stddev": 0.42, "clipLow": -0.92, "clipHigh": 1.45 } ] },
  "pca": { "loadings": [ { "x_tree": 0.12, "x_overlap": 0.87, "x_dep": -0.47 }, { "...": "..." } ], "explainedVariance": [0.6, 0.39] },
  "agents": [ { "agentId": "session-a", "point": [0.18, 0.41], "pairs": 3, "maxRisk": 1 } ]
}

Pipeline per poll: every pair's channel vector is pushed into a rolling window (default 512 samples). Once the window holds at least 8 samples, each channel is z-scored against the window, clipped to the window's 2.5th and 97.5th percentile (in z units), mapped back to [0, 1], multiplied by the static channel weight, and the weighted matrix goes through PCA (Jacobi on the 3x3 covariance). Below 8 samples the raw channel values are used and normalization says raw. A channel with zero variance maps to 0.5. Degenerate inputs (fewer than two pairs, zero total variance) give zero scores, never NaN.

The projection is a display. It never changes risk, the advisory level, or right-of-way.

Inventory

The #3028 report with the per-task rows folded into tasks[].inventory. Kept at the top level: status (ok or unavailable with reason), truncated (more than 64 sessions), observedAt, mode: "read-only", activity, leaseConflicts, warnings, coverage, limits. The manifest is built from the live sessions (ids sanitized to the inventory alphabet, paths from the working set, heartbeat from the session row, declared session status open for running/pending/idle, closed for completed/failed/stopped). An external manifest (viewOptions.manifest) can add goals, leases, repositories and extra tasks; the inventory then reports lease conflicts and goal activity for them.

Reuse in the Ito ops control plane

The shape to copy is task, lane, event:

• a task has an id, a lane, a state, an optional position, and an observation block whose authority says how much to trust it;
• a lane is a named group with ordered taskIds;
• an event has a stable id, a kind, a level, a severity, an at, a subject, an action with a type, and a human message.

Nothing in the shape is ECC-specific except the event kinds. An ops board that renders lanes of tasks and a feed of events can render this document as-is, and can emit its own kinds (deal.stalled, bridge.down) into the same feed.

What this does not do

• No leases are acquired, no agent is paused or steered. Consumers act; the view reports.
• No conflict-reduction percentage is claimed. The 85 percent goal in the push plan is measured two weeks before and after slice (b), not here.
• No semantic, call-graph or frequency channel yet (slice (g)). PCA picks new channels up automatically when they land in the scan.