Merge pull request 'Add executor tool loop (A12/A15) — step 5b' (#12) from executor-loop into main
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This commit was merged in pull request #12.
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dev-agent committed 2026-09-07 20:35:33 +00:00
commit 4025ac7875
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@@ -0,0 +1,173 @@
import io
from pathlib import Path
from typing import Any
import pytest
from nisse_dev.canonical import AssistantText, CanonicalEvent, StoredEvent, ToolCall
from nisse_dev.executor import LLMExecutor
from nisse_dev.llm import LLMError, RoleMap
from nisse_dev.oplog import OpLog
from nisse_dev.state import StateStore
from nisse_dev.tools import Workspace
ROLES = RoleMap(
executor="llama3.2",
planner="claude-haiku-4-5",
delegate="claude-haiku-4-5",
consultant="claude-haiku-4-5",
)
class ScriptedClient:
def __init__(self, turns: list[list[CanonicalEvent]]) -> None:
self._turns = turns
self.calls: list[dict[str, Any]] = []
def complete(
self,
events: list[StoredEvent],
tools: list[dict[str, Any]] | None,
model: str,
system: str | None = None,
) -> list[CanonicalEvent]:
self.calls.append({"tools": tools, "model": model, "system": system})
if not self._turns:
return [AssistantText(text="done", model=model)]
return self._turns.pop(0)
class FailingClient:
def complete(self, *args: Any, **kwargs: Any) -> list[CanonicalEvent]:
raise LLMError("proxy exploded")
def call(tool: str, call_id: str = "c1", **arguments: Any) -> ToolCall:
return ToolCall(call_id=call_id, tool=tool, arguments=arguments)
@pytest.fixture
def store(tmp_path: Path) -> StateStore:
return StateStore(tmp_path / "state.db", oplog=OpLog("nisse-dev", io.StringIO()))
@pytest.fixture
def ws(tmp_path: Path) -> Workspace:
return Workspace(tmp_path / "work", timeout_s=10)
def build(client: Any, store: StateStore, ws: Workspace, **kw: Any) -> LLMExecutor:
return LLMExecutor(client, store, ROLES, ws, **kw)
def test_tool_calls_are_executed_and_results_logged(
store: StateStore, ws: Workspace
) -> None:
client = ScriptedClient(
[
[call("write_file", path="app.py", content="print(1)\n")],
[AssistantText(text="wrote the file", model="llama3.2")],
]
)
outcome = build(client, store, ws).run(milestone=1)
assert outcome.status == "completed"
assert (ws.root / "app.py").read_text() == "print(1)\n"
kinds = [type(e.event).__name__ for e in store.read_events()]
assert kinds == ["ToolCall", "ToolResult", "AssistantText"]
def test_uses_executor_role_and_reduced_manifest(
store: StateStore, ws: Workspace
) -> None:
client = ScriptedClient([])
build(client, store, ws).run(milestone=2)
assert client.calls[0]["model"] == "llama3.2" # never the planner
names = [t["function"]["name"] for t in client.calls[0]["tools"]]
assert names == ["read_file", "write_file", "list_dir", "run_command"]
assert "milestone 2" in client.calls[0]["system"]
def test_no_tool_call_ends_the_milestone(store: StateStore, ws: Workspace) -> None:
client = ScriptedClient([[AssistantText(text="all steps done", model="m")]])
assert build(client, store, ws).run(milestone=1).status == "completed"
def test_two_consecutive_command_failures_escalate(
store: StateStore, ws: Workspace
) -> None:
client = ScriptedClient(
[
[call("run_command", command="exit 1")],
[call("run_command", command="exit 1")],
[call("run_command", command="exit 1")],
]
)
outcome = build(client, store, ws, failure_limit=2).run(milestone=1)
assert outcome.status == "escalate"
assert "2 consecutive command failures" in outcome.note
assert len(client.calls) == 2 # stopped, did not keep trying
def test_a_success_resets_the_failure_count(store: StateStore, ws: Workspace) -> None:
client = ScriptedClient(
[
[call("run_command", command="exit 1")],
[call("run_command", command="true")],
[call("run_command", command="exit 1")],
[AssistantText(text="done", model="m")],
]
)
assert build(client, store, ws, failure_limit=2).run(milestone=1).status == (
"completed"
)
def test_failed_reads_do_not_count_toward_escalation(
store: StateStore, ws: Workspace
) -> None:
client = ScriptedClient(
[
[call("read_file", path="missing-a.txt")],
[call("read_file", path="missing-b.txt")],
[AssistantText(text="looked around, done", model="m")],
]
)
assert build(client, store, ws, failure_limit=2).run(milestone=1).status == (
"completed"
)
def test_turn_cap_is_enforced(store: StateStore, ws: Workspace) -> None:
forever = [[call("list_dir", path=".")] for _ in range(50)]
client = ScriptedClient(forever)
outcome = build(client, store, ws, max_turns=3).run(milestone=1)
assert outcome.status == "capped"
assert "3-turn cap" in outcome.note
assert len(client.calls) == 3
def test_llm_error_escalates_rather_than_crashing(
store: StateStore, ws: Workspace
) -> None:
outcome = build(FailingClient(), store, ws).run(milestone=1)
assert outcome.status == "escalate"
assert "proxy exploded" in outcome.note
def test_multiple_calls_in_one_turn_all_run(store: StateStore, ws: Workspace) -> None:
client = ScriptedClient(
[
[
call("write_file", call_id="a", path="one.txt", content="1"),
call("write_file", call_id="b", path="two.txt", content="2"),
],
[AssistantText(text="done", model="m")],
]
)
build(client, store, ws).run(milestone=1)
assert (ws.root / "one.txt").exists() and (ws.root / "two.txt").exists()
results = [
e.event for e in store.read_events() if type(e.event).__name__ == "ToolResult"
]
assert {r.call_id for r in results} == {"a", "b"}
+74 -3
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@@ -12,7 +12,14 @@ from nisse_dev.canonical import (
ToolCall,
UserMessage,
)
from nisse_dev.control import AskHuman, Orchestrator, PlanningError, SubmitPlan
from nisse_dev.control import (
AWAIT_ARCH_SIGNOFF,
AWAIT_MILESTONE_SIGNOFF,
AskHuman,
Orchestrator,
PlanningError,
SubmitPlan,
)
from nisse_dev.llm import RoleMap
from nisse_dev.oplog import OpLog
from nisse_dev.planner import PLANNER_TOOLS, LLMPlanningAgent
@@ -108,7 +115,18 @@ def test_model_output_is_appended_to_the_log(store: StateStore) -> None:
)
LLMPlanningAgent(client, store, ROLES).plan("arch", "demo")
kinds = [type(e.event).__name__ for e in store.read_events()]
assert kinds == ["AssistantText", "ToolCall"]
assert kinds == ["AssistantText", "ToolCall", "ToolResult"]
def test_gate_tool_call_is_answered_in_the_log(store: StateStore) -> None:
# submit_plan ends the turn and has no natural result, but a tool call
# left dangling makes the next render invalid for the provider.
client = ScriptedClient([[plan_call("the plan")]])
LLMPlanningAgent(client, store, ROLES).plan("arch", "demo")
events = [e.event for e in store.read_events()]
assert [type(e).__name__ for e in events] == ["ToolCall", "ToolResult"]
assert events[1].call_id == events[0].call_id
assert "posted for approval" in events[1].result
def test_prose_only_turn_retries_once_then_raises(store: StateStore) -> None:
@@ -170,7 +188,13 @@ def test_use_project_produces_llm_plan_and_transcript(tmp_path: Path) -> None:
events = [e.event for e in store.read_events()]
kinds = [type(e).__name__ for e in events]
assert kinds == ["UserMessage", "ToolCall", "PlanSubmitted", "GateOpened"]
assert kinds == [
"UserMessage",
"ToolCall",
"ToolResult",
"PlanSubmitted",
"GateOpened",
]
submitted = next(e for e in events if isinstance(e, PlanSubmitted))
assert submitted.model == "anthropic/claude-opus-5" # pinned planner
@@ -195,6 +219,53 @@ def test_planning_failure_gates_to_await_input(tmp_path: Path) -> None:
assert transport.outbound[-1].kind == "question"
def test_operator_can_recover_from_a_planning_failure(tmp_path: Path) -> None:
# Regression: AWAIT_INPUT reached by any path other than ask_human used to
# record no pending item, so every operator reply was refused with "no
# pending question" and the agent was stuck for good.
prose = [AssistantText(text="prose", model="m")]
client = ScriptedClient([prose, prose, [plan_call("recovered plan")]])
_, store, transport = build(tmp_path, client)
transport.receive("don", "use demo")
assert store.get_state().state == "AWAIT_INPUT"
transport.receive("don", "try again, keep it short")
assert store.get_state().state == AWAIT_ARCH_SIGNOFF
assert "recovered plan" in transport.outbound[-1].text
def test_operator_can_recover_after_a_stopped_milestone(tmp_path: Path) -> None:
class StoppedExecutor:
def run(self, milestone: int) -> Any:
from nisse_dev.executor import ExecutorOutcome
return ExecutorOutcome("escalate", "tests failed twice")
store = StateStore(tmp_path / "state.db", oplog=OpLog("nisse-dev", io.StringIO()))
transport = InMemoryTransport()
client = ScriptedClient([[plan_call("p1")], [plan_call("p2")]])
orch = Orchestrator(
store,
transport,
LLMPlanningAgent(client, store, ROLES),
operators={"don"},
roles=ROLES,
executor=StoppedExecutor(),
)
orch.start()
transport.receive("don", "use demo")
transport.receive("don", "approve")
transport.receive("don", "approve")
transport.receive("don", "start milestone 1")
assert store.get_state().state == "AWAIT_INPUT"
transport.receive("don", "ok, I fixed the dependency")
assert store.get_state().state == AWAIT_MILESTONE_SIGNOFF
assert "start milestone 1" in transport.outbound[-1].text
def test_rejection_feedback_reaches_the_planner_via_the_log(
tmp_path: Path,
) -> None:
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@@ -71,6 +71,33 @@ def test_compaction_replaces_its_range_only() -> None:
assert contents == ["kept", "[summary of earlier conversation]\nthe old stuff"]
def test_tool_call_without_a_result_gets_a_placeholder() -> None:
# Providers reject a dangling tool_use; this happens after a crash (A3)
# or with turn-ending gate tools like submit_plan.
events = stored(
[
UserMessage(text="go", source="m:1"),
ToolCall(call_id="call-x", tool="submit_plan", arguments={}),
]
)
body = OpenAIChatRenderer().render(events, tools=None, model="q")
assert [m["role"] for m in body["messages"]] == ["user", "assistant", "tool"]
assert body["messages"][2]["tool_call_id"] == "call-x"
assert body["messages"][2]["content"] == "[no result recorded]"
def test_answered_tool_call_gets_no_placeholder() -> None:
events = stored(
[
ToolCall(call_id="call-x", tool="run_command", arguments={}),
ToolResult(call_id="call-x", result="ok", success=True),
]
)
body = OpenAIChatRenderer().render(events, tools=None, model="q")
assert [m["role"] for m in body["messages"]] == ["assistant", "tool"]
assert body["messages"][1]["content"] == "ok"
def test_gate_event_renders_as_context() -> None:
events = stored([GateOpened(gate="arch", reason="plan submitted (rev-1)")])
body = OpenAIChatRenderer().render(events, tools=None, model="q")
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@@ -0,0 +1,129 @@
import os
from pathlib import Path
import pytest
from nisse_dev.tools import EXECUTOR_TOOLS, MAX_OUTPUT_CHARS, Workspace
@pytest.fixture
def ws(tmp_path: Path) -> Workspace:
return Workspace(tmp_path / "work", timeout_s=10)
def test_manifest_is_small_and_flat() -> None:
# A15: fewer tools, flatter arguments for the local executor.
names = [t["function"]["name"] for t in EXECUTOR_TOOLS]
assert names == ["read_file", "write_file", "list_dir", "run_command"]
for tool in EXECUTOR_TOOLS:
props = tool["function"]["parameters"]["properties"]
assert all(p["type"] == "string" for p in props.values())
def test_write_then_read_round_trip(ws: Workspace) -> None:
assert ws.write_file("src/app.py", "print('hi')\n").success
outcome = ws.read_file("src/app.py")
assert outcome.success
assert outcome.result == "print('hi')\n"
def test_relative_paths_land_in_the_workspace(ws: Workspace) -> None:
ws.write_file("notes.txt", "x")
assert (ws.root / "notes.txt").exists()
def test_read_missing_file_is_a_failed_result_not_an_exception(
ws: Workspace,
) -> None:
outcome = ws.read_file("nope.txt")
assert not outcome.success
assert "could not read" in outcome.result
def test_list_dir(ws: Workspace) -> None:
ws.write_file("a.txt", "a")
ws.write_file("sub/b.txt", "b")
outcome = ws.list_dir(".")
assert outcome.success
assert outcome.result.splitlines() == ["a.txt", "sub/"]
def test_list_empty_dir(ws: Workspace) -> None:
assert ws.list_dir(".").result == "(empty)"
def test_run_command_success_reports_exit_code_and_stdout(ws: Workspace) -> None:
outcome = ws.run_command("echo hello")
assert outcome.success
assert "exit code: 0" in outcome.result
assert "hello" in outcome.result
def test_nonzero_exit_is_a_result_not_an_error(ws: Workspace) -> None:
outcome = ws.run_command("exit 3")
assert not outcome.success # feeds the A12 failure count
assert "exit code: 3" in outcome.result
def test_command_runs_in_the_workspace(ws: Workspace) -> None:
ws.write_file("marker.txt", "here")
assert "marker.txt" in ws.run_command("ls").result
def test_command_timeout_is_reported(tmp_path: Path) -> None:
ws = Workspace(tmp_path / "work", timeout_s=1)
outcome = ws.run_command("sleep 30")
assert not outcome.success
assert "timed out" in outcome.result
def _is_running(pid: int) -> bool:
"""os.kill(pid, 0) is not enough: a killed orphan stays a zombie until
something reaps it, and no init does that inside a CI container. Read the
process state instead."""
try:
stat = Path(f"/proc/{pid}/stat").read_text()
except FileNotFoundError:
return False
# State is the first field after the parenthesised comm.
return stat.rsplit(")", 1)[1].split()[0] != "Z"
def test_timeout_kills_the_whole_process_group(tmp_path: Path) -> None:
ws = Workspace(tmp_path / "work", timeout_s=1)
pidfile = ws.root / "child.pid"
# A backgrounded grandchild must not outlive the timeout.
ws.run_command(f"(sleep 30 & echo $! > {pidfile}); sleep 30")
assert pidfile.exists()
pid = int(pidfile.read_text().strip())
assert _is_running(os.getpid()), "liveness check is broken, not the kill"
assert not _is_running(pid)
def test_agent_credentials_are_not_inherited(
ws: Workspace, monkeypatch: pytest.MonkeyPatch
) -> None:
monkeypatch.setenv("NISSE_LLM_TOKEN", "sk-secret")
monkeypatch.setenv("PATH", os.environ["PATH"])
outcome = ws.run_command("echo [${NISSE_LLM_TOKEN}]")
assert "sk-secret" not in outcome.result
assert "[]" in outcome.result
def test_stdin_is_closed_so_prompts_fail_fast(ws: Workspace) -> None:
outcome = ws.run_command("read line && echo got")
assert not outcome.success
assert "got" not in outcome.result
def test_long_output_is_truncated(ws: Workspace) -> None:
outcome = ws.run_command("printf 'x%.0s' $(seq 1 20000)")
assert len(outcome.result) < MAX_OUTPUT_CHARS + 200
assert "truncated" in outcome.result
def test_dispatch_unknown_tool_and_missing_argument(ws: Workspace) -> None:
assert not ws.dispatch("fly", {}).success
missing = ws.dispatch("read_file", {})
assert not missing.success
assert "missing argument" in missing.result