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stage-signal

A tiny, harness-agnostic stage lifecycle CLI for agent orchestrators.

Coding agents run for a long time. Something else usually has to notice when a stage of work finished, failed, or got stuck waiting on the outside world — then start the next stage, pause, or alert a human.

stage-signal is that boring contract: a small CLI + on-disk status file that the agent writes and an orchestrator reads. No TUI scraping. No “it said done in the chat.” Just files, exit codes, and a few commands.


The job

Typical loop:

  1. An orchestrator (cron job, bot, CI step, shell watchdog) starts a coding agent on one milestone.
  2. The agent calls stage-signal start when it begins that milestone.
  3. While working, it may heartbeat.
  4. When finished it calls stage-signal done (or blocked / fail if it cannot finish cleanly).
  5. The orchestrator polls stage-signal status or wait on a timer — then enqueues the next milestone or stops.

So: agents produce machine-readable stage signals; orchestrators consume them.

This is intentionally not a full multi-agent cockpit, not a test proof system, and not tied to one coding product. It is a filesystem API with a thin CLI.


States

State Meaning
queued Stage reserved, process not started
running Agent claimed the stage
done Stage completed successfully
blocked Cannot proceed without an external fix (auth, quota, human decision, missing secret, …)
failed Hard failure (crash, red tests, broken invariant)

Terminal states for a given attempt: done, blocked, failed.


Install

From PyPI:

python3 -m venv .venv
source .venv/bin/activate
pip install stage-signal
stage-signal --help

System Python on macOS refuses bare pip install (PEP 668, "externally managed") — always use a venv as above.

From source (contributors):

python3 -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"   # installs the `stage-signal` entry point + tests
stage-signal --help
python -m pytest          # all green

python3.11+ with stdlib only — no third-party runtime dependencies. python -m stage_signal … works as an alias for the stage-signal command.


Quick start

# in your project
stage-signal init

# agent side
stage-signal start --stage impact-clarity --session "$SESSION_ID" --pid $$
stage-signal heartbeat
stage-signal done --summary "merged abc123" --git-head abc123
# or: stage-signal blocked --reason "..." / stage-signal fail --reason "..."

# orchestrator side
stage-signal status --json
stage-signal wait --state terminal --timeout 900

On-disk layout (default):

.stage-signal/
  STATUS.json     # current snapshot (normative)
  STATUS.md       # human mirror (best-effort, never normative)
  events.jsonl    # append-only history
  locks/stage.lock  # inter-process lock (POSIX fcntl.flock; Windows msvcrt.locking)

Platform locking note: POSIX platforms use fcntl.flock (exclusive for mutations, shared for reads). Windows uses Python stdlib msvcrt.locking on the lock file (exclusive byte lock on byte 0; shared locks fall back to exclusive; no third-party dependencies). On environments lacking OS locking primitives, locking is a best-effort no-op. Do not assume Windows has POSIX flock. Atomic os.replace protects STATUS.json writes across all platforms.

Exact schema and exit codes: see docs/SPEC.md (normative) and docs/PRIOR_ART.md (background).

status / wait exit codes are part of the contract: 0 done/OK, 1 generic/corrupt, 10 running, 11 blocked, 12 failed, 13 queued, 14 wait timeout, 15 not initialized, 2 bad args, 3 illegal transition.

start --meta is repeatable and accepts two forms per entry (merged in order, later wins):

stage-signal start --stage demo --meta owner=OpenLoop --meta '{"ticket": 42, "flag": true}'
  • K=V — value kept as a string (value may contain =; K= is empty).
  • A raw JSON object string — JSON types (numbers, bools, null, nested objects/arrays) are preserved.
  • Bare words, malformed JSON, and non-object JSON exit 2 with no mutation.

Minimal orchestrator loop (cron, bot, CI step, shell): see examples/orchestrator-watchdog.sh — it only calls stage-signal status --json / stage-signal wait and exits with the observed-state code above. Acceptance sequence: examples/orchestrator-smoke.sh.

Multi-stage queues (same contract, one dir walked against a queue file): examples/queue-orchestrator.sh --queue examples/sample-queue.md [--dir PATH] [--once]done advances (exit 0), blocked/failed stop with 11/12, running/queued wait (or exit 10/13 with --once for cron). Smoke: examples/queue-orchestrator-smoke.sh.

Driving coding agents (agy, OpenCode, etc.)

An external orchestrator loop can drive coding agents across multi-stage milestones without scraping TUIs or transcripts. The orchestrator owns the queue (often in gitignored folders like .agloop/ or .museloop/ with prompt templates and run logs), while .stage-signal/ owns the stage signal (start, wait, done, exit codes).

The agent CLI invocation line is pluggable — everything else stays identical:

Agent CLI Invocation Line
agy (Antigravity CLI) agy -p "$PROMPT" --dangerously-skip-permissions --print-timeout 45m
OpenCode opencode run --dir "$REPO" --auto -m "$MODEL" "$PROMPT"

See examples/cli-orchestrator-loop.md for the end-to-end loop guide and examples/multi-cli-loop.sh for a thin runner reusing examples/queue-orchestrator.sh.

GitHub Action: wait without a venv

No preinstalled venv needed — the composite action installs stage-signal from PyPI then runs stage-signal wait:

- uses: syyzit/stage-signal@v0.1.1
  with:
    dir: .stage-signal   # default
    state: terminal      # done | blocked | failed | terminal (default)
    timeout: 3600        # seconds (default)
    # python-version: "3.12"  # default
    # version: "0.1.1"        # optional version pin (default: unpinned/latest)
    # pip-cache: true         # optional boolean for pip caching (default: false)
    # cache: "pip"            # optional setup-python cache (default: "")

Exit codes are the wait contract: 0 condition met, 11 blocked, 12 failed, 14 timeout, 15 not initialized (10 running, 13 queued, 1/2/3 errors). See action.yml.

Action runtime note: The composite action uses actions/setup-python@v7 (Node 24 runner runtime, compatible with runner v2.327.1+), avoiding Node 20 runner deprecation warnings. Release packages published from GitHub Actions include build provenance attestations (actions/attest-build-provenance@v4).


What this is / isn’t

Is

  • A clear stage lifecycle for overnight or unattended agent loops
  • Readable by any language that can open a JSON file
  • Usable from cron, bots, CI, or a human shell

Is not

  • A replacement for git, CI, or issue trackers
  • A multi-agent worktree / DAG orchestrator (use tools like ruah / similar if you need that)
  • A proof-of-test gate (compose with something like agent-done-or-not if you need tamper-evident receipts before declaring success)

Why not scrape the agent UI?

Agent UIs and chat transcripts are for humans. Orchestrators need a stable, boring interface:

  • Did this stage end?
  • How did it end?
  • Is the process still alive (heartbeat)?
  • What git head / artifacts should the next stage assume?

stage-signal answers those without depending on one vendor’s session format.


Status

0.1.0: library (src/stage_signal/), full CLI (init, start, heartbeat, note, artifact, done, blocked, fail, status, wait, clear-terminal, doctor), unit + concurrency tests, examples/orchestrator-watchdog.sh (+ examples/orchestrator-smoke.sh), examples/queue-orchestrator.sh (+ examples/sample-queue.md, examples/queue-orchestrator-smoke.sh, examples/cli-orchestrator-loop.md, examples/multi-cli-loop.sh), CI (.github/workflows/ci.yml: pytest + both smokes + packaging check via python -m build / twine check, no upload). Contract: SPEC v1.


Docs

  • docs/SPEC.md — normative contract (schema, CLI, exit codes)
  • docs/COMPOSE.md — proof interop (--proof-ref / --require-proof)
  • docs/RELEASE.md — release procedure (manual; no upload from agent loops)
  • docs/PRIOR_ART.md — background research
  • CHANGELOG.md — release notes

Prior art

We researched existing tools before writing this. Short version: several systems solve adjacent problems (verification receipts, process presence, full multi-agent orchestration). The niche here is a small stage lifecycle aimed at external watchdogs. Details: docs/PRIOR_ART.md.


License

MIT — see LICENSE.


Contributing

Issues and PRs welcome. Keep the scope small: lifecycle signals, not a platform.

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