Files
turnstone/tests/test_coordinator_tools.py
T
Patrick Buckley 03f82521d9 fix(cancel): close workstream self-cancel gaps from the completeness review
Follow-up to the cancellation review — harden how cancel interacts with a
workstream's OWN turn and tools, not just its children and agents.

- wait_for_workstream: the wait loop holds no cancel handle and blocks on the
  child-event bus, so a cancelled coordinator parked in a wait stayed pinned
  for up to WAIT_MAX_TIMEOUT (600s). Add a cooperative check to the ~2s
  progress heartbeat — it raises GenerationCancelled, which propagates out of
  the otherwise cancel-blind wait (~2s abort).
- spawn_batch: stop creating the rest of the children once cancel is observed;
  already-spawned children stay recorded (they are live, durably parent-linked
  workstreams), the remainder are marked not-spawned.
- session worker: only clear _worker_running if this thread is still the
  current worker, so a late-finishing abandoned worker (force-cancel) can't
  clobber a live successor's flag — which would let a third send spawn a
  duplicate worker on the same session.
- bash silent-cancel: a SIGKILL'd silent command now records outcome-UNKNOWN
  (is_error, partial output kept) instead of a clean "Cancelled by user." that
  read as a successful empty result on replay.
- wire-repair: the last-resort orphan disposition now reads outcome-UNKNOWN,
  matching the cooperative-cancel message (unknown, never none).

Deferred: MCP / web_fetch / web_search remain uninterruptible mid-call,
bounded by tool_timeout; only bash is truly preemptible.
2026-06-26 03:28:06 -07:00

1809 lines
70 KiB
Python

"""Tests for the coordinator prepare/exec dispatch on ChatSession.
We construct a ChatSession with ``kind="coordinator"`` and a mocked
``CoordinatorClient``, then drive ``_prepare_tool`` directly with tool
call dicts matching the shape the provider layer produces. This is a
unit-level test of the dispatch plumbing — end-to-end flows land in
Phase D's test_coordinator_end_to_end.
"""
from __future__ import annotations
import json
from typing import Any
from unittest.mock import ANY, MagicMock, patch
import pytest
from turnstone.core.session import ChatSession
from turnstone.core.storage._sqlite import SQLiteBackend
from turnstone.prompts import ClientType
class _StubUI:
"""Minimal SessionUI that records signals without doing anything with them."""
def __init__(self) -> None:
self._user_id = "user-1"
self.infos: list[str] = []
self.errors: list[str] = []
self.tool_results: list[tuple[str, str, str, bool]] = []
def on_info(self, msg: str) -> None:
self.infos.append(msg)
def on_error(self, msg: str) -> None:
self.errors.append(msg)
def on_tool_result(self, call_id: str, name: str, output: str, is_error: bool = False) -> None:
self.tool_results.append((call_id, name, output, is_error))
# Other SessionUI methods — only stubs, not exercised here.
def on_turn_start(self) -> None:
pass
def on_turn_end(self) -> None:
pass
def on_stream_start(self) -> None:
pass
def on_stream_end(self) -> None:
pass
def on_message_delta(self, delta: str) -> None:
pass
def on_reasoning_delta(self, delta: str) -> None:
pass
def on_tool_call(self, call_id: str, name: str, header: str, preview: str) -> None:
pass
def on_completion(self, content: str) -> None:
pass
def on_attention(self, header: str, preview: str = "") -> None:
pass
def on_state_change(self, state: str) -> None:
pass
def approve_tools(self, items: list) -> tuple[bool, str | None]:
# Permissive default — tests that exercise approval
# pathways override the method directly on the instance.
return True, None
def wait_for_approval(
self,
call_id: str,
name: str,
header: str,
preview: str,
*,
label: str = "",
) -> tuple[bool, str | None]:
return True, None
@pytest.fixture
def coord_session(monkeypatch):
"""Build a coordinator ChatSession with a mocked CoordinatorClient.
Patches heavyweight init steps (_load_skills, _init_system_messages,
_save_config) to keep the test fast + isolated from the storage
registry.
"""
monkeypatch.setattr(ChatSession, "_load_skills", lambda self: None)
monkeypatch.setattr(ChatSession, "_init_system_messages", lambda self: None)
monkeypatch.setattr(ChatSession, "_save_config", lambda self: None)
ui = _StubUI()
coord_client = MagicMock()
sess = ChatSession(
client=MagicMock(),
model="gpt-test",
ui=ui, # type: ignore[arg-type]
instructions=None,
temperature=0.0,
max_tokens=1024,
tool_timeout=30,
context_window=16384,
ws_id="coord-1",
user_id="user-1",
client_type=ClientType.WEB,
kind="coordinator",
coord_client=coord_client,
)
return sess, coord_client, ui
# ---------------------------------------------------------------------------
# Tool set shape
# ---------------------------------------------------------------------------
def test_coordinator_session_uses_coordinator_tools(coord_session):
sess, _coord, _ui = coord_session
names = {t["function"]["name"] for t in sess._tools}
assert names == {
"spawn_workstream",
"spawn_batch",
"close_all_children",
"inspect_workstream",
"send_to_workstream",
"close_workstream",
"cancel_workstream",
"delete_workstream",
"list_workstreams",
"list_nodes",
"tasks",
"wait_for_workstream",
# Memory is dual-kind (coordinator: true + interactive: true) so
# the coord can persist orchestration context for its children
# via the ``coordinator`` scope. The system message preamble's
# "use memory(...)" hint is gated on the tool being in scope, so
# without this the model would see memories listed but no tool
# to act on them.
"memory",
# ``skills`` replaced ``list_skills`` in the 1.6.0 tool unification.
# Dual-kind (interactive + coordinator) — read actions auto-approve
# on both; writes gate on ``model.skills.write``.
"skills",
# ``notify`` joined the coord set in 1.6.0 — orchestrators have
# natural "fan-out complete" / "batch failed" beats worth
# surfacing to a human channel without spawning a child purely
# to ship the message. Routing is session-kind-agnostic.
"notify",
}
# Sub-agent tool set is zeroed on coordinator sessions.
assert sess._task_tools == []
# ---------------------------------------------------------------------------
# Helper: build a ChatCompletion-style tool_call dict
# ---------------------------------------------------------------------------
def _tc(name: str, args: dict[str, Any], call_id: str = "call-1") -> dict[str, Any]:
return {
"id": call_id,
"type": "function",
"function": {"name": name, "arguments": json.dumps(args)},
}
# ---------------------------------------------------------------------------
# spawn_workstream
# ---------------------------------------------------------------------------
def test_spawn_prepare_allows_empty_initial_message(coord_session):
"""Empty initial_message creates an idle child — matches tool JSON advertisement."""
sess, _coord, _ui = coord_session
item = sess._prepare_tool(_tc("spawn_workstream", {"initial_message": ""}))
assert "error" not in item
assert item["needs_approval"] is True
assert "idle workstream" in item["header"]
assert item["initial_message"] == ""
def test_spawn_prepare_needs_approval(coord_session):
sess, _coord, _ui = coord_session
item = sess._prepare_tool(
_tc("spawn_workstream", {"initial_message": "do a thing", "skill": "s"})
)
assert item["needs_approval"] is True
assert item["execute"].__func__ is ChatSession._exec_spawn_workstream
assert item["skill"] == "s"
def test_spawn_exec_calls_client_and_returns_summary(coord_session):
sess, coord, _ui = coord_session
coord.spawn.return_value = {
"ws_id": "child-7",
"name": "c",
"node_id": "node-1",
"status": 200,
}
item = sess._prepare_tool(_tc("spawn_workstream", {"initial_message": "hi"}))
call_id, output = sess._exec_spawn_workstream(item)
coord.spawn.assert_called_once()
_, kwargs = coord.spawn.call_args
assert kwargs["parent_ws_id"] == "coord-1"
assert kwargs["user_id"] == "user-1"
assert kwargs["initial_message"] == "hi"
assert call_id == "call-1"
assert "child-7" in output
def test_spawn_exec_does_not_surface_misleading_status_field(coord_session):
"""The routing-proxy ``status`` is the HTTP code (always 200 on
success), not a lifecycle state — leaking it into the tool's
summary tempted callers to write ``if result["status"] == "idle"``
which silently never matched. The summary now omits the field
entirely; lifecycle state lives on the workstream row and is read
via inspect_workstream.
Also asserts the return key is ``child_ws_id`` (not ``ws_id``) so
the coordinator LLM doesn't recency-bias toward feeding the spawn
output back into another ``spawn_workstream(ws_id=...)`` call.
"""
sess, coord, _ui = coord_session
coord.spawn.return_value = {
"ws_id": "child-7",
"name": "c",
"node_id": "node-1",
"status": 200,
}
item = sess._prepare_tool(_tc("spawn_workstream", {"initial_message": "hi"}))
_call_id, output = sess._exec_spawn_workstream(item)
body = json.loads(output)
assert "status" not in body
assert "ws_id" not in body
# The substantive fields are still here.
assert body["child_ws_id"] == "child-7"
assert body["node_id"] == "node-1"
def test_spawn_batch_exec_does_not_surface_misleading_status_field(coord_session):
"""Same shape constraint as ``spawn_workstream`` — per-result
entries omit ``status`` so the model can't be confused by the
HTTP-code-as-lifecycle-state ambiguity."""
sess, coord, _ui = coord_session
coord.spawn.return_value = {
"ws_id": "c-x",
"name": "n",
"node_id": "node",
"status": 200,
}
item = sess._prepare_tool(_tc("spawn_batch", {"children": [{"initial_message": "solo"}]}))
_call_id, output = sess._exec_spawn_batch(item)
body = json.loads(output)
assert "0" in body["results"]
assert "status" not in body["results"]["0"]
# Per-result entries surface ``child_ws_id``, not ``ws_id`` — same
# recency-bias rationale as the spawn_workstream test above.
assert body["results"]["0"]["child_ws_id"] == "c-x"
assert "ws_id" not in body["results"]["0"]
def test_spawn_exec_surfaces_client_error(coord_session):
sess, coord, ui = coord_session
coord.spawn.return_value = {"error": "upstream unreachable", "status": 502}
item = sess._prepare_tool(_tc("spawn_workstream", {"initial_message": "hi"}))
_call_id, output = sess._exec_spawn_workstream(item)
assert "upstream unreachable" in output
# UI got an error result
assert ui.tool_results[-1][3] is True # is_error
def test_spawn_exec_treats_missing_ws_id_on_success_path_as_error(coord_session):
"""A malformed upstream response (200-success-shape with no
``ws_id``) used to emit ``{"child_ws_id": null}`` to the LLM,
which then chased a null id through follow-up tools. Now matches
the matching guard in ``_exec_spawn_batch``: surface as a tool
error so the model retries instead of acting on garbage."""
sess, coord, ui = coord_session
# No ``error`` field, but ``ws_id`` is missing — the silent-null path.
coord.spawn.return_value = {"name": "c", "node_id": "node-1", "status": 200}
item = sess._prepare_tool(_tc("spawn_workstream", {"initial_message": "hi"}))
_call_id, output = sess._exec_spawn_workstream(item)
assert "no ws_id" in output
assert ui.tool_results[-1][3] is True # is_error
# ---------------------------------------------------------------------------
# inspect_workstream
# ---------------------------------------------------------------------------
def test_inspect_prepare_is_auto_approved(coord_session):
sess, _coord, _ui = coord_session
item = sess._prepare_tool(_tc("inspect_workstream", {"ws_id": "child-x", "message_limit": 5}))
assert item["needs_approval"] is False
assert item["execute"].__func__ is ChatSession._exec_inspect_workstream
assert item["message_limit"] == 5
def test_inspect_prepare_requires_ws_id(coord_session):
sess, _coord, _ui = coord_session
item = sess._prepare_tool(_tc("inspect_workstream", {}))
assert "error" in item
def test_inspect_prepare_clamps_message_limit(coord_session):
sess, _coord, _ui = coord_session
item = sess._prepare_tool(_tc("inspect_workstream", {"ws_id": "x", "message_limit": 10000}))
assert item["message_limit"] == 200 # clamped
def test_inspect_exec_dispatches_to_client(coord_session):
sess, coord, _ui = coord_session
coord.inspect.return_value = {
"ws_id": "child-x",
"state": "idle",
"messages": [],
}
item = sess._prepare_tool(_tc("inspect_workstream", {"ws_id": "child-x"}))
_call_id, output = sess._exec_inspect_workstream(item)
coord.inspect.assert_called_once_with(
"child-x", message_limit=20, include_provider_content=False
)
assert "child-x" in output
# ---------------------------------------------------------------------------
# send_to_workstream
# ---------------------------------------------------------------------------
def test_send_prepare_needs_approval(coord_session):
sess, _coord, _ui = coord_session
item = sess._prepare_tool(_tc("send_to_workstream", {"ws_id": "x", "message": "hello"}))
assert item["needs_approval"] is True
def test_send_prepare_rejects_empty_message(coord_session):
sess, _coord, _ui = coord_session
item = sess._prepare_tool(_tc("send_to_workstream", {"ws_id": "x", "message": ""}))
assert "error" in item
def test_send_exec_dispatches(coord_session):
sess, coord, _ui = coord_session
coord.send.return_value = {"status": 200}
item = sess._prepare_tool(_tc("send_to_workstream", {"ws_id": "x", "message": "hi"}))
_call_id, output = sess._exec_send_to_workstream(item)
coord.send.assert_called_once_with("x", "hi")
assert "x" in output
# ---------------------------------------------------------------------------
# close_workstream
# ---------------------------------------------------------------------------
def test_close_prepare_needs_approval(coord_session):
sess, _coord, _ui = coord_session
item = sess._prepare_tool(_tc("close_workstream", {"ws_id": "x"}))
assert item["needs_approval"] is True
def test_close_exec_dispatches(coord_session):
sess, coord, _ui = coord_session
coord.close_workstream.return_value = {"status": 200}
item = sess._prepare_tool(_tc("close_workstream", {"ws_id": "x"}))
_call_id, output = sess._exec_close_workstream(item)
# Default (no reason) — kwargs carry empty reason through the call.
coord.close_workstream.assert_called_once_with("x", reason="")
parsed = json.loads(output)
assert parsed["closed"] is True
assert "reason" not in parsed # omitted when empty
def test_close_exec_forwards_reason(coord_session):
"""reason is wired through both CoordinatorClient.close_workstream
and the tool-result payload so the coordinator's message stream
records why the close happened."""
sess, coord, _ui = coord_session
coord.close_workstream.return_value = {"status": 200}
item = sess._prepare_tool(_tc("close_workstream", {"ws_id": "x", "reason": "task done"}))
_call_id, output = sess._exec_close_workstream(item)
coord.close_workstream.assert_called_once_with("x", reason="task done")
parsed = json.loads(output)
assert parsed["reason"] == "task done"
# ---------------------------------------------------------------------------
# delete_workstream
# ---------------------------------------------------------------------------
# ---------------------------------------------------------------------------
# cancel_workstream
# ---------------------------------------------------------------------------
def test_cancel_prepare_needs_approval(coord_session):
sess, _coord, _ui = coord_session
item = sess._prepare_tool(_tc("cancel_workstream", {"ws_id": "x"}))
assert item["needs_approval"] is True
assert "cancel_workstream" in item["header"]
def test_cancel_prepare_requires_ws_id(coord_session):
sess, _coord, _ui = coord_session
item = sess._prepare_tool(_tc("cancel_workstream", {}))
assert "error" in item
def test_cancel_exec_dispatches(coord_session):
sess, coord, _ui = coord_session
coord.cancel.return_value = {"status": 200}
item = sess._prepare_tool(_tc("cancel_workstream", {"ws_id": "x"}))
_call_id, output = sess._exec_cancel_workstream(item)
coord.cancel.assert_called_once_with("x")
parsed = json.loads(output)
assert parsed["cancelled"] is True
assert parsed["ws_id"] == "x"
def test_cancel_exec_surfaces_client_error(coord_session):
sess, coord, ui = coord_session
coord.cancel.return_value = {"error": "ws not found", "status": 404}
item = sess._prepare_tool(_tc("cancel_workstream", {"ws_id": "x"}))
_call_id, output = sess._exec_cancel_workstream(item)
assert "ws not found" in output
assert ui.tool_results[-1][3] is True # is_error
# ---------------------------------------------------------------------------
# wait_for_workstream
# ---------------------------------------------------------------------------
def test_wait_prepare_is_auto_approved(coord_session):
"""Prepare is a thin pass-through — auto-approved, no validation;
the client owns ws_ids dedup / cap / timeout clamp / mode whitelist."""
sess, _coord, _ui = coord_session
item = sess._prepare_tool(
_tc(
"wait_for_workstream",
{"ws_ids": ["a", "b"], "timeout": 5, "mode": "all"},
)
)
assert item["needs_approval"] is False
# Raw args pass through verbatim — the client validates / dedups.
assert item["ws_ids"] == ["a", "b"]
assert item["mode"] == "all"
assert item["timeout"] == 5
def test_wait_exec_surfaces_client_validation_error(coord_session):
"""Bad input is rejected by the client and surfaced as a tool error
via the result.get('error') branch in exec — single source of truth
for validation."""
sess, coord, ui = coord_session
coord.wait_for_workstream.return_value = {
"error": "ws_ids must contain at least one valid id",
"results": {},
"complete": False,
"elapsed": 0.0,
"mode": "any",
}
item = sess._prepare_tool(_tc("wait_for_workstream", {"ws_ids": []}))
_call_id, output = sess._exec_wait_for_workstream(item)
assert "must contain at least one" in output
assert ui.tool_results[-1][3] is True # is_error
def test_wait_exec_dispatches_raw_args_to_client(coord_session):
sess, coord, _ui = coord_session
coord.wait_for_workstream.return_value = {
"results": {"a": {"state": "idle", "tokens": 0}},
"complete": True,
"elapsed": 0.5,
"mode": "any",
}
item = sess._prepare_tool(_tc("wait_for_workstream", {"ws_ids": ["a"], "timeout": 30}))
_call_id, output = sess._exec_wait_for_workstream(item)
# Args forwarded raw (timeout int, default mode="any") — client
# handles the float coerce + clamp. ``since`` + ``progress_callback``
# are optional observability kwargs added for the wait dashboard /
# diff-hint items (#14, #18); match them via ANY so this assertion
# stays focused on the raw dispatch.
coord.wait_for_workstream.assert_called_once_with(
["a"], timeout=30, mode="any", since=None, progress_callback=ANY
)
parsed = json.loads(output)
assert parsed["complete"] is True
assert parsed["mode"] == "any"
def test_wait_exec_progress_callback_observes_cancel(coord_session):
"""The wait progress heartbeat is the cancel seam. ``wait_for_workstream``
holds no cancel handle, so without this a cancelled coordinator parked in a
wait stays pinned for up to WAIT_MAX_TIMEOUT. A GenerationCancelled raised
from the heartbeat callback propagates out of the (otherwise cancel-blind)
wait — _exec_wait_for_workstream's ``except Exception`` can't swallow it
(GenerationCancelled is a BaseException)."""
from turnstone.core.session import GenerationCancelled
sess, coord, _ui = coord_session
def _wait(ws_ids, *, timeout, mode, since, progress_callback):
# Simulate the wait loop's ~2s heartbeat firing after the owner cancels.
sess._cancel_event.set()
progress_callback({"a": {"state": "running"}}, 0.1) # must raise
return {"results": {}, "complete": True, "elapsed": 0.1, "mode": mode}
coord.wait_for_workstream.side_effect = _wait
item = sess._prepare_tool(_tc("wait_for_workstream", {"ws_ids": ["a"]}))
with pytest.raises(GenerationCancelled):
sess._exec_wait_for_workstream(item)
def test_wait_exec_default_timeout_when_omitted(coord_session):
"""timeout=None (omitted) becomes 60.0 in exec so the client receives
a numeric value — explicit ``timeout=0`` is preserved (one-shot
poll) by passing the raw arg straight through."""
sess, coord, _ui = coord_session
coord.wait_for_workstream.return_value = {
"results": {"a": {"state": "idle", "tokens": 0}},
"complete": True,
"elapsed": 0.0,
"mode": "any",
}
item = sess._prepare_tool(_tc("wait_for_workstream", {"ws_ids": ["a"]}))
sess._exec_wait_for_workstream(item)
coord.wait_for_workstream.assert_called_once_with(
["a"], timeout=60.0, mode="any", since=None, progress_callback=ANY
)
def test_wait_exec_preserves_explicit_zero_timeout(coord_session):
"""Explicit ``timeout=0`` reaches the client untouched."""
sess, coord, _ui = coord_session
coord.wait_for_workstream.return_value = {
"results": {"a": {"state": "idle", "tokens": 0}},
"complete": True,
"elapsed": 0.0,
"mode": "any",
}
item = sess._prepare_tool(_tc("wait_for_workstream", {"ws_ids": ["a"], "timeout": 0}))
sess._exec_wait_for_workstream(item)
coord.wait_for_workstream.assert_called_once_with(
["a"], timeout=0, mode="any", since=None, progress_callback=ANY
)
def test_delete_prepare_needs_approval(coord_session):
sess, _coord, _ui = coord_session
item = sess._prepare_tool(_tc("delete_workstream", {"ws_id": "x"}))
assert item["needs_approval"] is True
assert "irreversible" in item["header"].lower()
def test_delete_exec_dispatches(coord_session):
sess, coord, _ui = coord_session
coord.delete.return_value = {"status": 200}
item = sess._prepare_tool(_tc("delete_workstream", {"ws_id": "x"}))
_call_id, output = sess._exec_delete_workstream(item)
coord.delete.assert_called_once_with("x")
parsed = json.loads(output)
assert parsed["deleted"] is True
# ---------------------------------------------------------------------------
# list_workstreams
# ---------------------------------------------------------------------------
def test_list_prepare_is_auto_approved(coord_session):
sess, _coord, _ui = coord_session
item = sess._prepare_tool(_tc("list_workstreams", {}))
assert item["needs_approval"] is False
def test_list_prepare_defaults_parent_to_self_ws(coord_session):
sess, _coord, _ui = coord_session
item = sess._prepare_tool(_tc("list_workstreams", {}))
assert item["parent_ws_id"] == "coord-1"
def test_list_prepare_accepts_explicit_parent(coord_session):
sess, _coord, _ui = coord_session
item = sess._prepare_tool(
_tc("list_workstreams", {"parent_ws_id": "other-coord", "state": "idle"})
)
assert item["parent_ws_id"] == "other-coord"
assert item["state"] == "idle"
def test_list_exec_dispatches(coord_session):
sess, coord, _ui = coord_session
coord.list_children.return_value = {
"children": [
{"ws_id": "a", "state": "idle"},
{"ws_id": "b", "state": "running"},
],
"truncated": False,
}
item = sess._prepare_tool(_tc("list_workstreams", {}))
_call_id, output = sess._exec_list_workstreams(item)
coord.list_children.assert_called_once()
parsed = json.loads(output)
assert parsed["parent_ws_id"] == "coord-1"
assert len(parsed["children"]) == 2
assert parsed["truncated"] is False
def test_list_exec_surfaces_truncated_sentinel(coord_session):
sess, coord, _ui = coord_session
coord.list_children.return_value = {
"children": [{"ws_id": "a", "state": "idle"}],
"truncated": True,
}
item = sess._prepare_tool(_tc("list_workstreams", {}))
_call_id, output = sess._exec_list_workstreams(item)
parsed = json.loads(output)
assert parsed["truncated"] is True
# ---------------------------------------------------------------------------
# Defensive guard: missing coord_client
# ---------------------------------------------------------------------------
def test_prepare_fails_cleanly_when_coord_client_missing(monkeypatch):
"""If somehow a coordinator-kind session is built without a coord_client,
prepare methods return an error item rather than NPE."""
monkeypatch.setattr(ChatSession, "_load_skills", lambda self: None)
monkeypatch.setattr(ChatSession, "_init_system_messages", lambda self: None)
monkeypatch.setattr(ChatSession, "_save_config", lambda self: None)
ui = _StubUI()
sess = ChatSession(
client=MagicMock(),
model="m",
ui=ui, # type: ignore[arg-type]
instructions=None,
temperature=0.0,
max_tokens=1024,
tool_timeout=30,
context_window=16384,
ws_id="coord-1",
user_id="user-1", # the constructor refuses anonymous coordinators
kind="coordinator",
coord_client=None,
)
# ``skills`` is excluded here on purpose: it's dual-kind and talks
# directly to storage, so it has no coord_client dependency and
# legitimately prepares without erroring when coord_client is absent.
for tool, args in (
("spawn_workstream", {"initial_message": "hi"}),
("inspect_workstream", {"ws_id": "x"}),
("send_to_workstream", {"ws_id": "x", "message": "m"}),
("close_workstream", {"ws_id": "x"}),
("delete_workstream", {"ws_id": "x"}),
("list_workstreams", {}),
("list_nodes", {}),
("tasks", {"action": "list"}),
):
item = sess._prepare_tool(_tc(tool, args))
assert "error" in item, f"{tool} did not error on missing coord_client"
# ---------------------------------------------------------------------------
# list_nodes
# ---------------------------------------------------------------------------
def test_list_nodes_prepare_is_auto_approved(coord_session):
sess, _coord, _ui = coord_session
item = sess._prepare_tool(_tc("list_nodes", {}))
assert item["needs_approval"] is False
assert item["filters"] == {}
assert item["limit"] == 100
def test_list_nodes_prepare_accepts_filters(coord_session):
sess, _coord, _ui = coord_session
item = sess._prepare_tool(
_tc("list_nodes", {"filters": {"arch": "x86_64", "capability": "gpu"}})
)
assert item["filters"] == {"arch": "x86_64", "capability": "gpu"}
def test_list_nodes_prepare_drops_invalid_filter_types(coord_session):
sess, _coord, _ui = coord_session
item = sess._prepare_tool(
_tc(
"list_nodes",
{"filters": {"arch": "x86_64", "bad": {"nested": "dict"}, "": "empty-key"}},
)
)
# Nested dict values + empty keys are filtered out; string + primitive kept.
assert item["filters"] == {"arch": "x86_64"}
def test_list_nodes_prepare_accepts_flat_args_as_filters(coord_session):
"""The model frequently drops the ``filters`` nesting and passes
each filter as a top-level kwarg (``list_nodes(os="Linux",
has_gpu=true)``). Operators saw this surface during shakedown:
flat-arg calls returned the full cluster because the strict-
nested prepare silently dropped the filter. The relaxed prepare
treats every top-level non-reserved kwarg as a flat filter."""
sess, _coord, _ui = coord_session
item = sess._prepare_tool(
_tc("list_nodes", {"os": "Linux", "gpu_has_nvidia": True, "memory_gb": 64})
)
assert item["filters"] == {"os": "Linux", "gpu_has_nvidia": True, "memory_gb": 64}
def test_list_nodes_prepare_reserves_paging_and_visibility_kwargs(coord_session):
"""Top-level reserved kwargs (``limit``, ``include_network_detail``,
``include_inactive``, ``filters``) are control parameters, NOT
filters. A flat call like ``list_nodes(limit=10, os="Linux")``
must put ``limit`` on the paging path and ``os`` in the
filter dict — not vice-versa."""
sess, _coord, _ui = coord_session
item = sess._prepare_tool(
_tc(
"list_nodes",
{
"limit": 10,
"include_network_detail": True,
"include_inactive": True,
"os": "Linux",
},
)
)
assert item["limit"] == 10
assert item["include_network_detail"] is True
assert item["include_inactive"] is True
assert item["filters"] == {"os": "Linux"}
def test_list_nodes_prepare_nested_wins_on_key_collision(coord_session):
"""When the model accidentally passes the same filter key both
nested AND flat (rare but possible mid-refactor), the canonical
nested form wins so the call is deterministic."""
sess, _coord, _ui = coord_session
item = sess._prepare_tool(
_tc(
"list_nodes",
{
"filters": {"os": "Linux"}, # canonical
"os": "DifferentOS", # flat — should NOT override
},
)
)
assert item["filters"] == {"os": "Linux"}
def test_list_nodes_prepare_mixes_nested_and_flat(coord_session):
"""A model can split filters across both shapes. Both contribute
to the final filter set; nested wins only on direct collisions."""
sess, _coord, _ui = coord_session
item = sess._prepare_tool(
_tc(
"list_nodes",
{
"filters": {"os": "Linux"},
"gpu_has_nvidia": True,
"memory_gb": 64,
},
)
)
assert item["filters"] == {
"os": "Linux",
"gpu_has_nvidia": True,
"memory_gb": 64,
}
def test_list_nodes_exec_dispatches_flat_arg_filters(coord_session):
"""End-to-end: flat-arg filters must actually flow through to the
coordinator client's ``list_nodes(filters=...)`` call. The bug
operators reported was the filters being silently dropped on the
way to storage; this test pins the prepare→exec wiring."""
sess, coord, _ui = coord_session
coord.list_nodes.return_value = {"nodes": [], "truncated": False}
item = sess._prepare_tool(_tc("list_nodes", {"os": "Linux"}))
sess._exec_list_nodes(item)
kwargs = coord.list_nodes.call_args.kwargs
assert kwargs["filters"] == {"os": "Linux"}
def test_list_nodes_prepare_clamps_limit(coord_session):
sess, _coord, _ui = coord_session
over = sess._prepare_tool(_tc("list_nodes", {"limit": 9999}))
assert over["limit"] == 500
# limit == 0 falls back to the default (100), not 1 — consistent with
# the other coordinator list tools' ``int(args.get("limit") or 100)``.
zero = sess._prepare_tool(_tc("list_nodes", {"limit": 0}))
assert zero["limit"] == 100
neg = sess._prepare_tool(_tc("list_nodes", {"limit": -5}))
assert neg["limit"] == 1 # negative values clamp to 1
def test_list_nodes_exec_dispatches_to_client(coord_session):
sess, coord, ui = coord_session
coord.list_nodes.return_value = {
"nodes": [{"node_id": "n1", "metadata": {"arch": {"value": "x86_64", "source": "auto"}}}],
"truncated": False,
}
item = sess._prepare_tool(_tc("list_nodes", {"filters": {"arch": "x86_64"}}))
call_id, output = sess._exec_list_nodes(item)
assert call_id == "call-1"
parsed = json.loads(output)
assert parsed["nodes"][0]["node_id"] == "n1"
assert parsed["truncated"] is False
coord.list_nodes.assert_called_once_with(
filters={"arch": "x86_64"},
limit=100,
include_network_detail=False,
include_inactive=False,
)
def test_list_nodes_exec_surfaces_truncated_sentinel(coord_session):
sess, coord, ui = coord_session
coord.list_nodes.return_value = {"nodes": [], "truncated": True}
item = sess._prepare_tool(_tc("list_nodes", {}))
_, _ = sess._exec_list_nodes(item)
# Summary reported to UI carries the "truncated" hint.
assert any("truncated" in r[2] for r in ui.tool_results)
# ---------------------------------------------------------------------------
# tasks
# ---------------------------------------------------------------------------
def test_tasks_list_is_auto_approved(coord_session):
sess, _coord, _ui = coord_session
item = sess._prepare_tool(_tc("tasks", {"action": "list"}))
assert item["needs_approval"] is False
assert item["action"] == "list"
def test_tasks_bare_string_fallback_uses_action_primary_key(coord_session):
"""A model that emits an unquoted ``list`` as the arguments blob
lands on the ``primary_key=action`` fallback and recovers. Before
the fix primary_key was ``title`` so the fallback produced
``{"title": "list"}`` and hit the required-action rejection."""
sess, _coord, _ui = coord_session
call = {
"id": "c1",
"type": "function",
"function": {"name": "tasks", "arguments": "list"},
}
item = sess._prepare_tool(call)
assert "error" not in item
assert item["action"] == "list"
def test_tasks_mutating_actions_need_approval(coord_session):
sess, _coord, _ui = coord_session
add_item = sess._prepare_tool(_tc("tasks", {"action": "add", "title": "plan"}))
assert add_item["needs_approval"] is True
update_item = sess._prepare_tool(
_tc("tasks", {"action": "update", "task_id": "tsk_1", "status": "done"})
)
assert update_item["needs_approval"] is True
remove_item = sess._prepare_tool(_tc("tasks", {"action": "remove", "task_id": "tsk_1"}))
assert remove_item["needs_approval"] is True
reorder_item = sess._prepare_tool(_tc("tasks", {"action": "reorder", "task_ids": ["tsk_1"]}))
assert reorder_item["needs_approval"] is True
def test_tasks_unknown_action_errors(coord_session):
sess, _coord, _ui = coord_session
item = sess._prepare_tool(_tc("tasks", {"action": "wat"}))
assert "error" in item
def test_tasks_non_string_action_errors_cleanly(coord_session):
"""A malformed ``action=42`` must NOT raise AttributeError during
``.strip().lower()`` — coerce to the empty string and fall through
to the enum-check error."""
sess, _coord, _ui = coord_session
for bad_action in (42, None, ["list"], {"a": 1}, True):
item = sess._prepare_tool(_tc("tasks", {"action": bad_action}))
assert "error" in item, f"action={bad_action!r} did not produce a clean error"
def test_tasks_add_rejects_non_string_title_and_status(coord_session):
"""Add branch: ``title=42`` / ``status=0`` must NOT raise
AttributeError during ``.strip()``; produce a clean error item."""
sess, _coord, _ui = coord_session
for bad in ({"action": "add", "title": 42}, {"action": "add", "title": "ok", "status": 0}):
item = sess._prepare_tool(_tc("tasks", bad))
assert "error" in item, f"args={bad!r} did not produce a clean error"
def test_tasks_remove_non_string_task_id_errors_cleanly(coord_session):
sess, _coord, _ui = coord_session
item = sess._prepare_tool(_tc("tasks", {"action": "remove", "task_id": 42}))
assert "error" in item
def test_tasks_add_requires_title(coord_session):
sess, _coord, _ui = coord_session
item = sess._prepare_tool(_tc("tasks", {"action": "add", "title": ""}))
assert "error" in item
def test_tasks_update_requires_task_id(coord_session):
sess, _coord, _ui = coord_session
item = sess._prepare_tool(_tc("tasks", {"action": "update", "status": "done"}))
assert "error" in item
def test_tasks_update_rejects_non_string_field_values(coord_session):
"""Preview must not diverge from execute: reject non-string field
values at prepare time rather than silently coercing to None."""
sess, _coord, _ui = coord_session
for field in ("title", "status", "child_ws_id"):
item = sess._prepare_tool(_tc("tasks", {"action": "update", "task_id": "t1", field: 42}))
assert "error" in item, f"update with non-string {field} should error"
def test_tasks_update_requires_at_least_one_field(coord_session):
"""update with only task_id is a no-op — reject to save an approval prompt."""
sess, _coord, _ui = coord_session
item = sess._prepare_tool(_tc("tasks", {"action": "update", "task_id": "t1"}))
assert "error" in item
def test_tasks_remove_requires_task_id(coord_session):
sess, _coord, _ui = coord_session
item = sess._prepare_tool(_tc("tasks", {"action": "remove"}))
assert "error" in item
def test_tasks_reorder_requires_list_of_strings(coord_session):
sess, _coord, _ui = coord_session
item = sess._prepare_tool(_tc("tasks", {"action": "reorder", "task_ids": [1, 2]}))
assert "error" in item
def test_tasks_mixed_read_and_write_in_batch_rejected(coord_session):
"""The only shape the guard now rejects: ``tasks(list)`` paralleled
with a ``tasks`` mutating action. Read-after-write ordering inside
``run_one``'s ThreadPoolExecutor is unspecified, so the read can
land before or after the write and produce inconsistent state.
Both ``tasks(...)`` calls in the batch get the rejection error."""
sess, _coord, _ui = coord_session
tool_calls = [
_tc("tasks", {"action": "add", "title": "a thing"}, call_id="call-1"),
_tc("tasks", {"action": "list"}, call_id="call-2"),
]
results, _fb = sess._execute_tools(tool_calls)
by_id = dict(results)
assert "read" in by_id["call-1"].lower() and "write" in by_id["call-1"].lower()
assert "read" in by_id["call-2"].lower() and "write" in by_id["call-2"].lower()
def test_tasks_all_writes_in_batch_permitted(coord_session):
"""All-write batches are SAFE: the dispatcher runs them serially
in input order (see ``test_tasks_writes_run_in_input_order``) so
the final task list ordering matches the model's emit order, and
each per-call lock acquisition under ``CoordinatorClient`` keeps
the storage row consistent. Four parallel ``tasks(add=...)`` is
the canonical "decompose plan into N tasks" shape."""
sess, coord, _ui = coord_session
# Real ``CoordinatorClient.tasks_add`` returns the task dict
# directly with top-level ``id`` / ``title`` / ``status`` /
# ``child_ws_id`` / ``created`` / ``updated``. Stubbing with
# the matching shape so a future refactor that depends on the
# actual contract (``result.get("id")`` etc.) doesn't pass
# vacuously here.
next_task_num = [0]
def _tasks_add(*_a, **kw):
next_task_num[0] += 1
return {
"id": f"t{next_task_num[0]}",
"title": kw.get("title", ""),
"status": "pending",
"child_ws_id": kw.get("child_ws_id", ""),
"created": "2026-04-28T00:00:00",
"updated": "2026-04-28T00:00:00",
}
coord.tasks_add.side_effect = _tasks_add
tool_calls = [
_tc("tasks", {"action": "add", "title": f"task {i}"}, call_id=f"call-{i}") for i in range(4)
]
results, _fb = sess._execute_tools(tool_calls)
for _cid, output in results:
assert "read-after-write" not in output.lower(), output
assert "cannot run" not in output.lower(), output
def test_tasks_writes_run_in_input_order(coord_session):
"""Regression guard: ``tasks_add`` calls must reach the
coordinator client in the SAME order the model emitted them.
Pre-fix, ``ThreadPoolExecutor.map`` dispatched in
scheduler-dependent order — the SET of tasks ended up consistent
but the final list ordering (and timestamps/IDs) varied
run-to-run. The fix runs any batch containing a tasks-write
serially in input order; this test pins the property by capturing
the title sequence as ``tasks_add`` sees it."""
sess, coord, _ui = coord_session
seen_titles: list[str] = []
def _tasks_add(*_a, **kw):
seen_titles.append(kw.get("title", ""))
return {
"id": f"t{len(seen_titles)}",
"title": kw.get("title", ""),
"status": "pending",
"child_ws_id": "",
"created": "2026-04-28T00:00:00",
"updated": "2026-04-28T00:00:00",
}
coord.tasks_add.side_effect = _tasks_add
titles = ["alpha", "bravo", "charlie", "delta", "echo", "foxtrot"]
tool_calls = [
_tc("tasks", {"action": "add", "title": t}, call_id=f"call-{i}")
for i, t in enumerate(titles)
]
sess._execute_tools(tool_calls)
# Exact input-order preservation — no scheduler-dependent
# interleaving.
assert seen_titles == titles
def test_tasks_writes_serial_when_mixed_with_non_tasks_siblings(coord_session):
"""Even when the batch mixes a tasks-write with non-tasks
siblings, the tasks-write path must still preserve input order
(the dispatcher runs the WHOLE batch serially in this case to
keep the implementation simple). A coord adding 2 tasks +
listing nodes in one turn shouldn't see scheduler-shuffled task
titles."""
sess, coord, _ui = coord_session
seen_titles: list[str] = []
def _tasks_add(*_a, **kw):
seen_titles.append(kw.get("title", ""))
return {
"id": f"t{len(seen_titles)}",
"title": kw.get("title", ""),
"status": "pending",
"child_ws_id": "",
"created": "2026-04-28T00:00:00",
"updated": "2026-04-28T00:00:00",
}
coord.tasks_add.side_effect = _tasks_add
coord.list_nodes.return_value = {"nodes": [], "truncated": False}
tool_calls = [
_tc("tasks", {"action": "add", "title": "first"}, call_id="call-1"),
_tc("list_nodes", {}, call_id="call-2"),
_tc("tasks", {"action": "add", "title": "second"}, call_id="call-3"),
]
sess._execute_tools(tool_calls)
assert seen_titles == ["first", "second"]
def test_tasks_all_reads_in_batch_permitted(coord_session):
"""All-read batches are SAFE: nothing to race against."""
sess, coord, _ui = coord_session
coord.tasks_get.return_value = {"tasks": []}
tool_calls = [
_tc("tasks", {"action": "list"}, call_id="call-1"),
_tc("tasks", {"action": "list"}, call_id="call-2"),
]
results, _fb = sess._execute_tools(tool_calls)
for _cid, output in results:
assert "read-after-write" not in output.lower(), output
def test_tasks_runs_normally_when_alone_in_batch(coord_session):
"""A single ``tasks(...)`` call is unaffected by the read-after-
write guard — only multi-call batches with a mix can trip it."""
sess, _coord, _ui = coord_session
results, _fb = sess._execute_tools([_tc("tasks", {"action": "list"})])
_call_id, output = results[0]
assert "read-after-write" not in output.lower()
def test_tasks_write_with_non_tasks_sibling_permitted(coord_session):
"""A ``tasks`` write paralleled with a non-``tasks`` sibling is
fine — the sibling doesn't touch tasks state, so there's no
race regardless of dispatch order. This is the natural batch
shape for "add a task AND look up something else"."""
sess, coord, _ui = coord_session
# Match real ``CoordinatorClient.tasks_add`` shape — dict
# returned directly, not wrapped in ``{"ok": True, "task": ...}``.
coord.tasks_add.return_value = {
"id": "t1",
"title": "a",
"status": "pending",
"child_ws_id": "",
"created": "2026-04-28T00:00:00",
"updated": "2026-04-28T00:00:00",
}
tool_calls = [
_tc("tasks", {"action": "add", "title": "a"}, call_id="call-1"),
_tc("inspect_workstream", {"ws_id": "child-x"}, call_id="call-2"),
]
results, _fb = sess._execute_tools(tool_calls)
for _cid, output in results:
assert "read-after-write" not in output.lower(), output
def test_tasks_read_with_non_tasks_sibling_permitted(coord_session):
"""Mirror of the write-with-sibling test for the read direction.
Common shape: ``tasks(list)`` paralleled with ``list_workstreams``
/ ``list_nodes`` for a planning snapshot."""
sess, coord, _ui = coord_session
coord.tasks_get.return_value = {"tasks": []}
tool_calls = [
_tc("tasks", {"action": "list"}, call_id="call-1"),
_tc("list_workstreams", {}, call_id="call-2"),
_tc("list_nodes", {}, call_id="call-3"),
]
results, _fb = sess._execute_tools(tool_calls)
for _cid, output in results:
assert "read-after-write" not in output.lower(), output
def test_non_tasks_parallel_batch_unaffected(coord_session):
"""Tools other than ``tasks`` keep working in parallel batches
regardless of read/write semantics — the guard is scoped only
to ``tasks``'s read-after-write hazard."""
sess, _coord, _ui = coord_session
tool_calls = [
_tc("inspect_workstream", {"ws_id": "child-a"}, call_id="call-1"),
_tc("list_workstreams", {}, call_id="call-2"),
]
results, _fb = sess._execute_tools(tool_calls)
for _cid, output in results:
assert "read-after-write" not in output.lower()
def test_tasks_exec_list_returns_tasks(coord_session):
sess, coord, _ui = coord_session
coord.tasks_get.return_value = {
"version": 1,
"tasks": [{"id": "tsk_1", "title": "do", "status": "pending"}],
}
item = sess._prepare_tool(_tc("tasks", {"action": "list"}))
_, output = sess._exec_tasks(item)
parsed = json.loads(output)
assert parsed["tasks"][0]["id"] == "tsk_1"
assert parsed["truncated"] is False
def test_tasks_exec_list_page_caps_at_200(coord_session):
sess, coord, _ui = coord_session
coord.tasks_get.return_value = {
"version": 1,
"tasks": [{"id": f"tsk_{i}", "title": "x", "status": "pending"} for i in range(250)],
}
item = sess._prepare_tool(_tc("tasks", {"action": "list"}))
_, output = sess._exec_tasks(item)
parsed = json.loads(output)
assert len(parsed["tasks"]) == 200
assert parsed["truncated"] is True
def test_tasks_exec_add_dispatches(coord_session):
sess, coord, _ui = coord_session
coord.tasks_add.return_value = {"id": "tsk_new", "title": "plan"}
item = sess._prepare_tool(_tc("tasks", {"action": "add", "title": "plan", "status": "pending"}))
_, _ = sess._exec_tasks(item)
coord.tasks_add.assert_called_once_with(
sess._ws_id, title="plan", status="pending", child_ws_id=""
)
def test_tasks_exec_reorder_surfaces_permutation_error(coord_session):
sess, coord, _ui = coord_session
coord.tasks_reorder.return_value = {"error": "task_ids must be a permutation..."}
item = sess._prepare_tool(_tc("tasks", {"action": "reorder", "task_ids": ["wrong"]}))
_, output = sess._exec_tasks(item)
parsed = json.loads(output)
assert "error" in parsed
def test_tasks_exec_remove_passes_client_dict_through(coord_session):
"""The client returns a dict; exec must pass it through without
synthesising a generic 'not found' message that would mask corrupt-
envelope errors from the LLM."""
sess, coord, _ui = coord_session
coord.tasks_remove.return_value = {
"error": "tasks envelope is corrupt on disk; refusing to overwrite."
}
item = sess._prepare_tool(_tc("tasks", {"action": "remove", "task_id": "x"}))
_, output = sess._exec_tasks(item)
parsed = json.loads(output)
assert "corrupt" in parsed["error"]
def test_tasks_exec_remove_success_dispatches(coord_session):
sess, coord, _ui = coord_session
coord.tasks_remove.return_value = {"ok": True, "task_id": "tsk_1"}
item = sess._prepare_tool(_tc("tasks", {"action": "remove", "task_id": "tsk_1"}))
_, output = sess._exec_tasks(item)
parsed = json.loads(output)
assert parsed.get("ok") is True
# ---------------------------------------------------------------------------
# Smoke-test regressions — empty-arg tool calls, metadata stripping,
# provider-content trimming
# ---------------------------------------------------------------------------
def test_prepare_tool_empty_arguments_string_parses_as_object(coord_session):
"""Some providers emit an empty string when a tool is invoked with
no arguments (all params optional). The empty string must be
treated as ``{}`` rather than dropped into the malformed-JSON
error branch — otherwise zero-arg coordinator tool calls fail."""
sess, coord, _ui = coord_session
coord.list_nodes.return_value = {"nodes": [], "truncated": False}
tc = {
"id": "call-empty",
"type": "function",
"function": {"name": "list_nodes", "arguments": ""},
}
item = sess._prepare_tool(tc)
# No error field, prepared for list_nodes exec.
assert "error" not in item
assert item["func_name"] == "list_nodes"
def test_list_nodes_strips_interfaces_by_default(coord_session):
"""Default ``list_nodes`` output omits the auto-populated
``interfaces`` key — it leaks internal RFC 1918 addresses and the
model never uses it for routing decisions."""
sess, coord, _ui = coord_session
item = sess._prepare_tool(_tc("list_nodes", {}))
coord.list_nodes.assert_not_called() # prepare doesn't fire the client yet
assert item["include_network_detail"] is False
sess._exec_list_nodes(item)
coord.list_nodes.assert_called_once()
kwargs = coord.list_nodes.call_args.kwargs
assert kwargs.get("include_network_detail") is False
def test_list_nodes_include_network_detail_opt_in(coord_session):
"""Opt-in flag flips include_network_detail=True through to the client."""
sess, coord, _ui = coord_session
item = sess._prepare_tool(_tc("list_nodes", {"include_network_detail": True}))
assert item["include_network_detail"] is True
sess._exec_list_nodes(item)
kwargs = coord.list_nodes.call_args.kwargs
assert kwargs.get("include_network_detail") is True
def test_inspect_workstream_default_trims_provider_content(coord_session):
"""Default ``inspect_workstream`` threads
``include_provider_content=False`` through to the client so the
``_provider_content`` / ``provider_blocks`` duplicates don't bloat
the response."""
sess, coord, _ui = coord_session
item = sess._prepare_tool(_tc("inspect_workstream", {"ws_id": "abc123"}))
assert item["include_provider_content"] is False
sess._exec_inspect_workstream(item)
kwargs = coord.inspect.call_args.kwargs
assert kwargs.get("include_provider_content") is False
def test_inspect_workstream_include_provider_content_opt_in(coord_session):
sess, coord, _ui = coord_session
item = sess._prepare_tool(
_tc(
"inspect_workstream",
{"ws_id": "abc123", "include_provider_content": True},
)
)
assert item["include_provider_content"] is True
sess._exec_inspect_workstream(item)
kwargs = coord.inspect.call_args.kwargs
assert kwargs.get("include_provider_content") is True
# ---------------------------------------------------------------------------
# spawn_batch
# ---------------------------------------------------------------------------
def _three_children() -> list[dict[str, Any]]:
return [
{"initial_message": "benchmark A", "skill": "researcher"},
{"initial_message": "benchmark B", "skill": "researcher", "target_node": "n-1"},
{"initial_message": "", "name": "idle-child"},
]
def test_spawn_batch_prepare_rejects_non_list(coord_session):
sess, _coord, _ui = coord_session
item = sess._prepare_tool(_tc("spawn_batch", {"children": "not-a-list"}))
assert "error" in item
assert "non-empty list" in item["error"]
def test_spawn_batch_prepare_rejects_empty_list(coord_session):
sess, _coord, _ui = coord_session
item = sess._prepare_tool(_tc("spawn_batch", {"children": []}))
assert "error" in item
def test_spawn_batch_prepare_rejects_over_cap(coord_session):
sess, _coord, _ui = coord_session
too_many = [{"initial_message": f"msg-{i}"} for i in range(11)]
item = sess._prepare_tool(_tc("spawn_batch", {"children": too_many}))
assert "error" in item
assert "cap" in item["error"].lower()
def test_spawn_batch_prepare_builds_approval_card(coord_session):
sess, _coord, _ui = coord_session
item = sess._prepare_tool(_tc("spawn_batch", {"children": _three_children()}))
assert "error" not in item
assert item["needs_approval"] is True
assert item["func_name"] == "spawn_batch"
assert "3 children" in item["header"]
# Each row shows up in the preview (dim-wrapped).
for idx in (0, 1, 2):
assert f"{idx}." in item["preview"]
assert "skill=researcher" in item["preview"]
assert "node=n-1" in item["preview"]
# Idle row renders as "(idle)".
assert "(idle)" in item["preview"]
def test_spawn_batch_exec_serialises_spawns_and_returns_results(coord_session):
sess, coord, _ui = coord_session
spawned: list[dict[str, Any]] = []
def _spawn(**kwargs):
n = len(spawned)
ws = {
"ws_id": f"child-{n}",
"name": kwargs.get("name") or f"auto-{n}",
"node_id": kwargs.get("target_node") or "node-auto",
"status": 200,
}
spawned.append(kwargs)
return ws
coord.spawn.side_effect = _spawn
item = sess._prepare_tool(_tc("spawn_batch", {"children": _three_children()}))
_call_id, output = sess._exec_spawn_batch(item)
# Three serial spawn() calls, in input order.
assert len(spawned) == 3
assert [s["initial_message"] for s in spawned] == ["benchmark A", "benchmark B", ""]
assert spawned[0]["skill"] == "researcher"
assert spawned[1]["target_node"] == "n-1"
assert spawned[2]["name"] == "idle-child"
body = json.loads(output)
assert "truncated" not in body # prepare hard-errors >10, no truncate state
assert body["denied"] == []
# Keyed by input index (stringified).
assert set(body["results"].keys()) == {"0", "1", "2"}
assert body["results"]["0"]["child_ws_id"] == "child-0"
assert body["results"]["1"]["node_id"] == "n-1"
assert body["results"]["2"]["child_ws_id"] == "child-2"
# Confirm we don't leak the old ``ws_id`` key alongside the new
# ``child_ws_id`` — see test_spawn_exec_does_not_surface_misleading_status_field
# for the rationale on the rename.
assert "ws_id" not in body["results"]["0"]
def test_spawn_batch_exec_surfaces_per_item_errors_in_denied(coord_session):
sess, coord, _ui = coord_session
counter = {"n": 0}
def _spawn(**kwargs):
msg = kwargs.get("initial_message", "")
if msg == "benchmark B":
return {"error": "skill not found: researcher", "status": 400}
counter["n"] += 1
return {
"ws_id": f"child-{counter['n']}",
"name": "n",
"node_id": "node-auto",
"status": 200,
}
coord.spawn.side_effect = _spawn
item = sess._prepare_tool(_tc("spawn_batch", {"children": _three_children()}))
_call_id, output = sess._exec_spawn_batch(item)
body = json.loads(output)
assert set(body["results"].keys()) == {"0", "2"}
assert len(body["denied"]) == 1
assert body["denied"][0]["idx"] == 1
assert "skill not found" in body["denied"][0]["reason"]
def test_spawn_batch_exec_stops_spawning_after_cancel(coord_session):
"""A cancel mid-batch stops creating the REST of the children. The
already-spawned child stays in ``results`` (it is a live remote
workstream); the remainder are marked not-spawned rather than created."""
sess, coord, _ui = coord_session
spawned: list[dict[str, Any]] = []
def _spawn(**kwargs):
n = len(spawned)
spawned.append(kwargs)
# Owner cancels right after the first child is created.
sess._cancel_event.set()
return {"ws_id": f"child-{n}", "name": "n", "node_id": "node", "status": 200}
coord.spawn.side_effect = _spawn
item = sess._prepare_tool(_tc("spawn_batch", {"children": _three_children()}))
_call_id, output = sess._exec_spawn_batch(item)
body = json.loads(output)
# Only the first child was actually spawned — the cancel halted the rest.
assert len(spawned) == 1
assert set(body["results"].keys()) == {"0"}
assert body["results"]["0"]["child_ws_id"] == "child-0"
# The remaining two are reported not-spawned (cancelled), not created.
cancelled = [d for d in body["denied"] if "cancelled" in d["reason"].lower()]
assert {d["idx"] for d in cancelled} == {1, 2}
def test_spawn_batch_exec_continues_past_client_exception(coord_session):
sess, coord, _ui = coord_session
def _spawn(**kwargs):
if kwargs.get("initial_message") == "benchmark A":
raise RuntimeError("transient network error")
return {
"ws_id": "ok",
"name": "n",
"node_id": "node",
"status": 200,
}
coord.spawn.side_effect = _spawn
item = sess._prepare_tool(_tc("spawn_batch", {"children": _three_children()}))
_call_id, output = sess._exec_spawn_batch(item)
body = json.loads(output)
# First item raised; other two succeed — partial-success semantics.
assert "0" not in body["results"]
assert "1" in body["results"] and "2" in body["results"]
assert any(d["idx"] == 0 and "transient network error" in d["reason"] for d in body["denied"])
def test_spawn_batch_exec_emits_batch_started_and_ended(coord_session):
sess, coord, _ui = coord_session
events: list[dict[str, Any]] = []
# Attach a minimal _enqueue on the UI so _emit_batch_event fires.
sess.ui._enqueue = events.append # type: ignore[attr-defined]
coord.spawn.return_value = {
"ws_id": "c-x",
"name": "n",
"node_id": "node",
"status": 200,
}
item = sess._prepare_tool(_tc("spawn_batch", {"children": [{"initial_message": "solo"}]}))
sess._exec_spawn_batch(item)
types = [e["type"] for e in events]
assert types[0] == "batch_started"
assert types[-1] == "batch_ended"
assert events[0]["op"] == "spawn_batch"
assert events[0]["total"] == 1
assert events[-1]["succeeded"] == 1
assert events[-1]["denied"] == 0
# ---------------------------------------------------------------------------
# spawn_batch — _evaluate_intent func_args projection (sec-3 follow-up)
# ---------------------------------------------------------------------------
#
# The judge (heuristic + LLM) reads ``item["func_args"]`` to reason about
# what the coordinator is about to do. Pre-fix, spawn_batch projected only
# the FIRST child's skill + initial_message — a malicious mid-batch entry
# was invisible to both tiers. These tests pin the full-children projection.
def _stub_judge_for_evaluate_intent(monkeypatch, sess):
"""Stub _ensure_judge so _evaluate_intent's setup loop runs.
The actual judge.evaluate() is mocked to return one verdict per item
so the heuristic-attach loop doesn't IndexError. Tests assert on the
func_args populated BEFORE judge.evaluate is invoked.
"""
fake_verdict = MagicMock()
fake_verdict.to_dict.return_value = {"verdict_id": "v0", "tier": "heuristic"}
fake_judge = MagicMock()
# judge.evaluate(items, messages, callback=, cancel_event=) → list[verdict]
fake_judge.evaluate.side_effect = lambda items, *_args, **_kw: [fake_verdict] * len(items)
monkeypatch.setattr(sess, "_ensure_judge", lambda: fake_judge)
return fake_judge
def test_spawn_batch_evaluate_intent_projects_all_children(coord_session, monkeypatch):
sess, _coord, _ui = coord_session
_stub_judge_for_evaluate_intent(monkeypatch, sess)
item = sess._prepare_tool(
_tc(
"spawn_batch",
{
"children": [
{"initial_message": "audit auth.py for CSRF", "skill": "engineer"},
{"initial_message": "rm -rf the docs tree", "skill": "bash-runner"},
{
"initial_message": "compare FastAPI vs Starlette",
"skill": "researcher",
"target_node": "node-7",
},
]
},
)
)
sess._evaluate_intent([item])
fa = item["func_args"]
assert fa["child_count"] == 3
children = fa["children"]
assert len(children) == 3
assert children[0]["skill"] == "engineer"
assert children[0]["initial_message"] == "audit auth.py for CSRF"
assert children[0]["target_node"] == ""
# Mid-batch entry is fully visible — the bug this fix exists to close.
assert children[1]["skill"] == "bash-runner"
assert children[1]["initial_message"] == "rm -rf the docs tree"
assert children[2]["skill"] == "researcher"
assert children[2]["target_node"] == "node-7"
def test_spawn_batch_evaluate_intent_truncates_long_messages(coord_session, monkeypatch):
sess, _coord, _ui = coord_session
_stub_judge_for_evaluate_intent(monkeypatch, sess)
long_msg = "x" * 500
item = sess._prepare_tool(
_tc("spawn_batch", {"children": [{"initial_message": long_msg, "skill": "researcher"}]})
)
sess._evaluate_intent([item])
children = item["func_args"]["children"]
assert len(children) == 1
# Cap is 200 chars — same shape every other coord-tool projection uses.
assert len(children[0]["initial_message"]) == 200
assert children[0]["initial_message"] == "x" * 200
def test_spawn_batch_evaluate_intent_handles_empty_children_defensively(coord_session, monkeypatch):
"""``_prepare_spawn_batch`` rejects an empty children list before this
code runs, so we shouldn't reach _evaluate_intent with one in
practice — but if a future caller bypasses the preparer the
projection must still produce a valid dict. Pinning the defensive
shape so the JSON-serialised verdict row stays well-formed."""
sess, _coord, _ui = coord_session
_stub_judge_for_evaluate_intent(monkeypatch, sess)
# Synthesise an item directly — bypassing _prepare_tool, since the
# preparer's empty-list rejection would prevent us reaching here.
fake_item = {
"call_id": "call-empty",
"func_name": "spawn_batch",
"needs_approval": True,
"approval_label": "spawn_batch",
"children": [],
}
sess._evaluate_intent([fake_item])
fa = fake_item["func_args"]
assert fa["child_count"] == 0
assert fa["children"] == []
# ---------------------------------------------------------------------------
# Regression: tasks(update) without title — _prepare_tasks stores
# ``item["title"] = None`` (title is optional on update), then
# _evaluate_intent's projection sliced ``it.get("title", "")[:100]``.
# dict.get returns the stored ``None`` (the default applies only when
# the key is absent), so the slice raised TypeError and aborted the
# whole batch. Sibling tool calls in the same parallel batch then
# surfaced as "Tool execution was cancelled" because the assistant
# message had recorded the tool calls but the evaluator never wrote
# tool-result entries.
# ---------------------------------------------------------------------------
def test_tasks_update_without_title_evaluates_intent_cleanly(coord_session, monkeypatch):
"""tasks(update) with status only (no title) must not crash the
intent projection — the missing-but-optional title field stored as
None used to TypeError on the [:100] slice."""
sess, _coord, _ui = coord_session
_stub_judge_for_evaluate_intent(monkeypatch, sess)
item = sess._prepare_tool(
_tc("tasks", {"action": "update", "task_id": "tsk_1", "status": "in_progress"})
)
assert "error" not in item
# The crash trigger: item["title"] is None after _prepare_tasks.
assert item["title"] is None
sess._evaluate_intent([item])
assert item["func_args"] == {
"action": "update",
"task_id": "tsk_1",
"title": "",
}
def test_tasks_update_without_title_in_parallel_batch_does_not_cancel_siblings(
coord_session, monkeypatch
):
"""Reproduce the parallel-batch failure mode: tasks(update) without
title alongside other tools. Pre-fix, the evaluator raised before
any sibling executed, leaving every sibling reported as cancelled.
Post-fix, all items get func_args populated and the batch proceeds
to the judge."""
sess, _coord, _ui = coord_session
_stub_judge_for_evaluate_intent(monkeypatch, sess)
update_item = sess._prepare_tool(
_tc("tasks", {"action": "update", "task_id": "tsk_1", "status": "in_progress"})
)
# tasks(add) — sibling that previously got orphaned/cancelled.
add_item = sess._prepare_tool(_tc("tasks", {"action": "add", "title": "next step"}))
sess._evaluate_intent([update_item, add_item])
# Both items projected; neither carried over the None crash.
assert update_item["func_args"]["title"] == ""
assert add_item["func_args"]["title"] == "next step"
# ---------------------------------------------------------------------------
# close_all_children
# ---------------------------------------------------------------------------
def test_close_all_children_prepare_builds_approval_card(coord_session):
sess, _coord, _ui = coord_session
item = sess._prepare_tool(_tc("close_all_children", {"reason": "batch done"}))
assert "error" not in item
assert item["needs_approval"] is True
assert item["func_name"] == "close_all_children"
assert "batch done" in item["header"]
assert item["reason"] == "batch done"
def test_close_all_children_prepare_accepts_empty_reason(coord_session):
sess, _coord, _ui = coord_session
item = sess._prepare_tool(_tc("close_all_children", {}))
assert "error" not in item
assert item["reason"] == ""
def test_close_all_children_exec_posts_to_endpoint_and_summarises(coord_session):
sess, coord, _ui = coord_session
coord.close_all_children.return_value = {
"status": "ok",
"closed": ["c-1", "c-2"],
"failed": [],
"skipped": ["c-3"],
}
item = sess._prepare_tool(_tc("close_all_children", {"reason": "done"}))
_call_id, output = sess._exec_close_all_children(item)
coord.close_all_children.assert_called_once_with(reason="done")
body = json.loads(output)
assert body == {
"closed": ["c-1", "c-2"],
"failed": [],
"skipped": ["c-3"],
"reason": "done",
}
def test_close_all_children_exec_surfaces_client_error(coord_session):
sess, coord, ui = coord_session
coord.close_all_children.return_value = {
"error": "upstream unreachable",
"status": 502,
}
item = sess._prepare_tool(_tc("close_all_children", {}))
_call_id, output = sess._exec_close_all_children(item)
assert "upstream unreachable" in output
assert ui.tool_results[-1][3] is True # is_error=True
def test_close_all_children_exec_surfaces_client_exception(coord_session):
sess, coord, ui = coord_session
coord.close_all_children.side_effect = RuntimeError("boom")
item = sess._prepare_tool(_tc("close_all_children", {}))
_call_id, output = sess._exec_close_all_children(item)
assert "boom" in output
assert ui.tool_results[-1][3] is True
def test_close_all_children_exec_emits_batch_events(coord_session):
sess, coord, _ui = coord_session
events: list[dict[str, Any]] = []
sess.ui._enqueue = events.append # type: ignore[attr-defined]
coord.close_all_children.return_value = {
"status": "ok",
"closed": ["c-1"],
"failed": [],
"skipped": [],
}
item = sess._prepare_tool(_tc("close_all_children", {"reason": "r"}))
sess._exec_close_all_children(item)
types = [e["type"] for e in events]
assert types[0] == "batch_started"
assert types[-1] == "batch_ended"
assert events[0]["op"] == "close_all_children"
assert events[-1]["closed"] == 1
# ---------------------------------------------------------------------------
# _coord_client=None guard — covers the first-line bail-out in both new
# prepare methods. The branch matters because a coord session hitting
# this state signals a construction bug, and the LLM needs a clean tool
# error (not a crashing tool-exec).
# ---------------------------------------------------------------------------
def test_spawn_batch_prepare_errors_when_coord_client_unavailable(coord_session):
sess, _coord, _ui = coord_session
sess._coord_client = None
item = sess._prepare_tool(_tc("spawn_batch", {"children": [{"initial_message": "hi"}]}))
assert "error" in item
assert "unavailable" in item["error"]
def test_close_all_children_prepare_errors_when_coord_client_unavailable(coord_session):
sess, _coord, _ui = coord_session
sess._coord_client = None
item = sess._prepare_tool(_tc("close_all_children", {}))
assert "error" in item
assert "unavailable" in item["error"]
# ---------------------------------------------------------------------------
# notify — dual-kind invocability on coordinator sessions
# ---------------------------------------------------------------------------
#
# notify joined the coord toolset so orchestrators can post status updates
# at narrative beats (fan-out complete, batch failed, phase done) without
# spawning a child purely to ship a message. _prepare_notify / _exec_notify
# are session-kind-agnostic — the routing logic is identical to interactive
# sessions; these tests pin the coord-side dispatch wiring.
def test_notify_prepare_on_coord_session_dispatches_cleanly(coord_session):
"""A coord session can reach _prepare_notify via the standard
dispatcher and produce a well-formed execute item."""
sess, _coord, _ui = coord_session
item = sess._prepare_tool(
_tc(
"notify",
{"message": "fan-out of 3 children complete", "username": "admin"},
)
)
assert "error" not in item
assert item["func_name"] == "notify"
assert item["execute"].__func__ is ChatSession._exec_notify
assert item["message"] == "fan-out of 3 children complete"
assert item["username"] == "admin"
# notify carries ``auto_approve: true`` in notify.json and
# ``_prepare_notify`` hardcodes ``needs_approval: False`` — pin the
# auto-approve contract on the coord surface so a future change that
# tightens approval semantics has to update this test deliberately.
assert item["needs_approval"] is False
def test_notify_exec_on_coord_session_sends_via_channel_gateway(coord_session, tmp_path):
"""End-to-end: coord-session notify reaches the channel gateway path
with the same payload shape an interactive session would emit."""
sess, _coord, _ui = coord_session
storage = SQLiteBackend(str(tmp_path / "test.db"))
storage.register_service("channel", "ch-1", "http://localhost:8091")
item = sess._prepare_tool(
_tc(
"notify",
{"message": "batch failed on child-x", "username": "admin"},
)
)
mock_resp = MagicMock()
mock_resp.status_code = 200
mock_resp.json.return_value = {
"results": [{"channel_type": "discord", "channel_id": "123", "status": "sent"}]
}
with (
patch("turnstone.core.session.get_storage", return_value=storage),
patch("turnstone.core.session.httpx.post", return_value=mock_resp) as mock_post,
):
call_id, msg = sess._exec_notify(item)
assert call_id == "call-1"
assert "sent successfully" in msg.lower()
post_kwargs = mock_post.call_args.kwargs
assert post_kwargs["json"]["target"] == {"username": "admin"}
assert post_kwargs["json"]["message"] == "batch failed on child-x"
assert post_kwargs["json"]["ws_id"] == "coord-1"