Runs that go in circles end (M7.8)
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Driver.run checks each turn with nisse_core.loop.circles and ends the run
as "circling" when the same calls get much the same back, one harness
correction is given again and again, or the model apologises, for
circle_repeats turns in a row (default 3). Near-identical calls (git add
a.py, b.py) and scattered apologies stay flags on the status page. A
fact in the transcript says why the run ended.

nisse-dev calls in a helper as for a stuck run, then asks the operator;
nisse-review counts a failed run and posts none of its drafts. Tuning:
tuning.driver / tuning.review circle_repeats (0 off) and circle_similar.

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01J5Utyfzw7gF7UhjRDEtjTk
This commit is contained in:
dongarandClaude Opus 5.5 committed 2026-10-26 16:30:07 +00:00
1 parent 516a328618
commit 74bc68db1c
20 files changed
+506 -20

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+2
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@@ -266,6 +266,8 @@ def run_task(
model,
max_turns=tuning.driver.max_turns,
failure_limit=tuning.driver.failure_limit,
circle_repeats=tuning.driver.circle_repeats,
circle_similar=tuning.driver.circle_similar,
# As the agent runs it, so a long task measures the same thing.
compactor=Compactor(meter, tuning.context.compaction()),
)
+11
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@@ -25,6 +25,7 @@ from nisse_core.config import (
REFERENCE,
ConfigError,
VaultConfig,
check_circles,
flatten,
llm_numbers,
parse_tuning,
@@ -107,6 +108,10 @@ GENERAL = "general" # the scope of conversation not about a project (L1)
class DriverTuning:
max_turns: int = 40
failure_limit: int = 2
# A run going in circles ends (L2): this many alike turns in a row, or
# one correction given this often; 0 never ends one. And how alike.
circle_repeats: int = field(default=3, metadata={"zero": True})
circle_similar: float = 0.9
@dataclass(frozen=True)
@@ -199,6 +204,12 @@ def _parse_tuning(raw: Any, errors: list[str]) -> Tuning:
if tuning.context.safety_margin >= 1:
errors.append("tuning.context.safety_margin: must be less than 1")
check_tuning(tuning.context.compaction(), "tuning.context", errors)
check_circles(
tuning.driver.circle_repeats,
tuning.driver.circle_similar,
"tuning.driver",
errors,
)
return tuning
+4 -3
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@@ -2378,11 +2378,12 @@ class LoopAgent:
def _help_when_stuck(self, item: WorkItem, loop: Loop, outcome: RunOutcome) -> bool:
"""L9's observable triggers: the driver stuck (commands failing in a
row) or out of turns mid-milestone. A helper is called in, once per
milestone; True when it finished and the driver goes on."""
row), going in circles (L2), or out of turns mid-milestone. A helper
is called in, once per milestone; True when it finished and the
driver goes on."""
if (
self._helpers is None
or outcome.kind not in ("stuck", "capped")
or outcome.kind not in ("stuck", "circling", "capped")
or not loop.branch
or loop.helped_at == loop.milestone
):
+2
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@@ -292,6 +292,8 @@ def build_loop_agent(
max_turns=config.tuning.driver.max_turns,
cancel=cancel,
failure_limit=config.tuning.driver.failure_limit,
circle_repeats=config.tuning.driver.circle_repeats,
circle_similar=config.tuning.driver.circle_similar,
compactor=Compactor(
normalized, config.tuning.context.compaction(), oplog=oplog
),
+17
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@@ -182,6 +182,23 @@ def test_tuning_is_read() -> None:
assert (tuning.build_vm.retry_s, tuning.build_vm.settle_s) == (60.0, 180.0)
def test_circles_are_tuned_and_checked() -> None:
# L2, M7.8: when a driver run going in circles ends.
assert (
build().tuning.driver.circle_repeats,
build().tuning.driver.circle_similar,
) == (3, 0.9)
tuned = build(tuning={"driver": {"circle_repeats": 0, "circle_similar": 0.8}})
assert (tuned.tuning.driver.circle_repeats, tuned.tuning.driver.circle_similar) == (
0,
0.8,
)
with pytest.raises(ConfigError, match=r"circle_repeats: must be 0 \(off\) or 2"):
build(tuning={"driver": {"circle_repeats": 1}})
with pytest.raises(ConfigError, match="circle_similar: must be at most 1"):
build(tuning={"driver": {"circle_similar": 2}})
def test_a_partly_given_tuning_section_keeps_the_other_defaults() -> None:
tuning = build(tuning={"driver": {"max_turns": 40}}).tuning
assert tuning.driver.failure_limit == 2
+2 -1
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@@ -386,7 +386,8 @@ def test_an_invented_tool_is_answered_not_run(tmp_path: Path) -> None:
def test_the_turn_cap_ends_a_run(tmp_path: Path) -> None:
model = ScriptedModel(*[[call("read_file", path="a")]] * 3)
outcome = Driver(model, "m", max_turns=3).run(
# The same call three times is a circle too (M7.8): here, only the cap.
outcome = Driver(model, "m", max_turns=3, circle_repeats=0).run(
driver_log(tmp_path),
system="s",
tools=_tools("read_file"),
+43
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@@ -249,6 +249,49 @@ def test_stuck_again_in_the_same_milestone_asks_the_operator(
assert len(helper.calls) == 2 # one delegation: its two turns
def test_a_driver_going_in_circles_gets_a_helper_too(world: dict[str, Any]) -> None:
# L2, M7.8: the same command, the same output, turn after turn.
helper = Spy(
[call("write_file", path="fixed.py", content="F = 1\n")],
[hand_back()],
)
model = ScriptedModel(
RESTATE,
[call("start_milestone", name="words")],
*[[call("run_command", command="true")] for _ in range(3)],
[call("finish_milestone", summary="fixed with help", final="yes")],
)
agent, transport = loop_agent(world, model, helpers=helpers(helper))
agent.intake()
say(transport, world, "go")
assert any("so a helper is taking over" in m.text for m in transport.outbound)
assert "near-identical replies in a row" in str(helper.calls) # in the brief
assert loop_of(item(world)).helped_at == 1
def test_circling_again_in_the_same_milestone_asks_the_operator(
world: dict[str, Any],
) -> None:
helper = Spy(
[call("write_file", path="tried.py", content="T = 1\n")],
[hand_back()],
)
circling = [[call("run_command", command="true")] for _ in range(3)]
model = ScriptedModel(
RESTATE,
[call("start_milestone", name="words")],
*circling,
*circling, # after the helper: round again
)
agent, transport = loop_agent(world, model, helpers=helpers(helper))
agent.intake()
say(transport, world, "go")
loop = loop_of(item(world))
assert loop.wait == ANSWER
assert "I stopped short: 3 near-identical replies in a row" in loop.note
def test_ask_expert_answers_within_its_budget(world: dict[str, Any]) -> None:
answer = {"answer": "use a dict", "confidence": "high", "caveats": ""}
expert = Spy(
+4 -2
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@@ -139,8 +139,10 @@ def test_a_pass_that_doesnt_finish_never_holds_up_the_close(
def test_the_pass_is_bounded(world: dict[str, Any], memory: Memory) -> None:
looking = [call("list_notes", folder="")]
model = Spy(RESTATE, *[looking] * 3)
# A different folder each turn: the same call three times would end the
# pass as going in circles (M7.8), not at the cap.
looking = [[call("list_notes", folder=f)] for f in ("", "a", "b")]
model = Spy(RESTATE, *looking)
loop, transport = agent(world, model, memory, memory_turns=3)
loop.intake()
say(transport, world, "abandon")