feat: improve operator progress and recording accuracy
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# Copyright 2026 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Tests for operator plan-ledger handling."""
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import json
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from unittest.mock import AsyncMock, MagicMock, patch
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import pytest
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from artemis.agents.operator.operator import OperatorNode
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from artemis.agents.operator.prompts import (
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apply_operator_prompt_contract,
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load_operator_prompts,
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render_plan_ledger_bounce,
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unwritten_action_streak,
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)
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from artemis.config.agent import MemoryTranscriptConfig
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from artemis.context import ArtemisContext
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from artemis.utils.plan_grammar import parse_plan, render_plan_grammar_spec
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LEGACY_TRANSCRIPT = MemoryTranscriptConfig(enabled=False)
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PLAN_NO_LEAF = """- [x] Open Google Maps and search for SFO
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- [/] Read the commute duration and record it into note `commute_eta_info`
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- verify: duration recorded
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- [ ] Draft the ETA message
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"""
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PLAN_WITH_LEAF = """- [x] Open Google Maps and search for SFO
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- [/] Read the commute duration and record it into note `commute_eta_info`
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- [x] Open route options for SFO
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- [/] Read the driving duration
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- [/] Tap the "Driving" tab so the fastest route is highlighted
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- verify: duration recorded
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- [ ] Draft the ETA message
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"""
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def test_grammar_spec_teaches_deeper_nesting():
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spec = render_plan_grammar_spec(include_checks=False)
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assert "4 spaces for a sub-sub-goal" in spec
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assert "Only zero-indent lines count as milestones" in spec
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def test_active_milestone_and_leaf():
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snap = parse_plan(PLAN_WITH_LEAF)
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milestone = snap.active_milestone()
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assert milestone is not None and milestone.text.startswith("Read the commute duration")
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children = snap.children_of(milestone)
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assert [c.text for c in children] == [
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"Open route options for SFO",
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"Read the driving duration",
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'Tap the "Driving" tab so the fastest route is highlighted',
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]
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leaf = snap.active_leaf(milestone)
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assert leaf is not None and leaf.text.startswith('Tap the "Driving" tab')
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assert leaf.indent == 4
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snap = parse_plan(PLAN_NO_LEAF)
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milestone = snap.active_milestone()
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assert milestone is not None
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assert snap.active_leaf(milestone) is None
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assert snap.children_of(milestone) == ()
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def test_active_milestone_fallbacks():
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all_pending = parse_plan("- [ ] First\n- [ ] Second\n")
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assert all_pending.active_milestone().text == "First"
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nested_only = parse_plan("- [ ] First\n - [/] Doing it\n- [ ] Second\n")
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assert nested_only.active_milestone().text == "First"
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assert parse_plan("- [x] First\n- [x] Second\n").active_milestone() is None
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def _action_step(n, wrote_plan=False, action=True):
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tool_calls = []
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if wrote_plan:
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tool_calls.append(
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{"name": "update_note", "args": {"key": "task_plan", "target": "a", "replacement": "b"}}
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)
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step = {"step_id": f"s{n}", "step_number": n, "tool_calls": tool_calls}
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if action:
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step["action_taken"] = [{"action": "tap"}]
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return step
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def test_streak_counts_trailing_action_turns_without_plan_write():
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assert unwritten_action_streak([]) == 0
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assert unwritten_action_streak([_action_step(1, wrote_plan=True)]) == 0
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assert unwritten_action_streak([_action_step(1)]) == 1
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steps = [
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_action_step(1),
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_action_step(2, wrote_plan=True),
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_action_step(3),
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_action_step(4, action=False),
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_action_step(5),
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]
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assert unwritten_action_streak(steps) == 2
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def test_bounce_only_when_ledger_is_broken_or_stale():
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assert render_plan_ledger_bounce(PLAN_WITH_LEAF, streak=0, stale_turns=4) is None
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assert render_plan_ledger_bounce(PLAN_WITH_LEAF, streak=2, stale_turns=4) is None
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stale = render_plan_ledger_bounce(PLAN_WITH_LEAF, streak=3, stale_turns=4)
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assert stale and "stayed in progress for 4 action turns" in stale
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assert 'Tap the "Driving" tab' in stale
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assert render_plan_ledger_bounce(PLAN_WITH_LEAF, streak=9, stale_turns=0) is None
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broken = render_plan_ledger_bounce(PLAN_NO_LEAF, streak=0, stale_turns=4)
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assert broken and "has no in-progress `[/]` sub-goal beneath it" in broken
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assert "Read the commute duration" in broken
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assert render_plan_ledger_bounce("No task plan yet.", 0, 4) is None
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assert render_plan_ledger_bounce("- [x] Done\n- [x] Also done\n", 0, 4) is None
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def test_prompt_teaches_the_ledger_once_without_per_turn_reminder():
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prompt = apply_operator_prompt_contract(load_operator_prompts()["main_template"])
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assert prompt.count("**Live Sub-goal Ledger**") == 1
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assert "mandatory every turn" not in prompt
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assert "need no plan write" in prompt
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assert "sub-sub-goal (4 spaces)" in prompt
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assert "structurally broken" in prompt
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def _make_node(tmp_path, plan_text, steps=None):
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notes = tmp_path / "notes"
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notes.mkdir(parents=True)
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(notes / "task_plan.md").write_text(plan_text, encoding="utf-8")
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ctx = MagicMock(spec=ArtemisContext)
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ctx.execution_setup = None
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ctx.data_engine = MagicMock()
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ctx.data_engine.base_dir = str(tmp_path)
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ctx.data_engine.current_session_id = "s"
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ctx.data_engine.get_agent_friendly_steps.return_value = steps or []
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state = MagicMock()
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state.subagent_calls = []
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state.initial_goal = "goal"
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state.open_incident = None
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node = OperatorNode(ctx, transcript_config=LEGACY_TRANSCRIPT)
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return node, state, notes / "task_plan.md"
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def _click_response(n_actions=1):
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response = MagicMock()
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response.content = ""
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response.tool_calls = [
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{"name": "click", "args": {"target": [50, 50]}, "id": f"call_{i}"} for i in range(n_actions)
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]
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return response
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def _llm(side_effect=None, return_value=None):
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llm = MagicMock()
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llm.ainvoke = AsyncMock(side_effect=side_effect, return_value=return_value)
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llm.bind_tools.return_value = llm
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return llm
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@pytest.mark.asyncio
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async def test_gate_bounces_broken_ledger_once_then_executes(tmp_path):
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node, state, _ = _make_node(tmp_path, PLAN_NO_LEAF)
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seen = []
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async def ainvoke(messages, *args, **kwargs):
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seen.append(list(messages))
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return _click_response()
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with patch("artemis.agents.operator.operator.get_llm", return_value=_llm(ainvoke)):
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update = await node(state)
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assert len(seen) == 2, "first submission bounced, second executed"
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bounce = [
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m
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for m in seen[1]
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if isinstance(getattr(m, "content", None), str)
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and m.content.startswith("Not executed: the active milestone")
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]
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assert bounce and bounce[0].status == "error"
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assert json.loads(update["structured_decisions"])[0]["action"] == "tap"
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@pytest.mark.asyncio
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async def test_gate_lets_healthy_ledger_through_without_a_write(tmp_path):
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node, state, _ = _make_node(tmp_path, PLAN_WITH_LEAF, steps=[_action_step(1)])
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llm = _llm(return_value=_click_response())
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with patch("artemis.agents.operator.operator.get_llm", return_value=llm):
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update = await node(state)
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assert llm.ainvoke.await_count == 1
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assert update["structured_decisions"] is not None
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@pytest.mark.asyncio
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async def test_gate_bounces_stale_ledger(tmp_path):
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stale_history = [_action_step(1), _action_step(2), _action_step(3)]
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node, state, _ = _make_node(tmp_path, PLAN_WITH_LEAF, steps=stale_history)
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seen = []
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async def ainvoke(messages, *args, **kwargs):
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seen.append(list(messages))
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return _click_response()
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with (
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patch("artemis.agents.operator.operator.get_llm", return_value=_llm(ainvoke)),
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patch.object(OperatorNode, "_plan_ledger_stale_turns", return_value=4),
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):
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await node(state)
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assert len(seen) == 2
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assert any(
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isinstance(getattr(m, "content", None), str)
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and "stayed in progress for 4 action turns" in m.content
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for m in seen[1]
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)
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@pytest.mark.asyncio
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async def test_gate_passes_when_plan_changed_in_turn(tmp_path):
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node, state, plan_path = _make_node(tmp_path, PLAN_NO_LEAF)
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async def ainvoke(messages, *args, **kwargs):
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plan_path.write_text(PLAN_WITH_LEAF, encoding="utf-8")
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return _click_response()
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llm = _llm(ainvoke)
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with patch("artemis.agents.operator.operator.get_llm", return_value=llm):
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update = await node(state)
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assert llm.ainvoke.await_count == 1
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assert update["structured_decisions"] is not None
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@pytest.mark.asyncio
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async def test_gate_exempts_bursts_and_open_incidents(tmp_path):
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node, state, _ = _make_node(tmp_path / "burst", PLAN_NO_LEAF)
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llm = _llm(return_value=_click_response(n_actions=2))
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with patch("artemis.agents.operator.operator.get_llm", return_value=llm):
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update = await node(state)
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assert llm.ainvoke.await_count == 1
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assert len(json.loads(update["structured_decisions"])) == 2
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node, state, _ = _make_node(tmp_path / "incident", PLAN_NO_LEAF)
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state.open_incident = {"category": "intercepted"}
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llm = _llm(return_value=_click_response())
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with patch("artemis.agents.operator.operator.get_llm", return_value=llm):
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await node(state)
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assert llm.ainvoke.await_count == 1
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@pytest.mark.asyncio
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async def test_gate_inactive_without_plan_or_when_disabled(tmp_path):
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llm = _llm(return_value=_click_response())
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node, state, _ = _make_node(tmp_path / "a", "No task plan yet.")
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with patch("artemis.agents.operator.operator.get_llm", return_value=llm):
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await node(state)
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assert llm.ainvoke.await_count == 1
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llm.ainvoke.reset_mock()
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node, state, _ = _make_node(tmp_path / "b", PLAN_NO_LEAF)
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with (
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patch("artemis.agents.operator.operator.get_llm", return_value=llm),
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patch.object(OperatorNode, "_plan_ledger_gate_enabled", return_value=False),
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):
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await node(state)
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assert llm.ainvoke.await_count == 1
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