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Merge 52f4ba99f8 into 2ad56a4d71

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chethanuk 2026-09-03 09:00:05 -04:00 committed by GitHub
parent 2ad56a4d71 52f4ba99f8
commit e573f6d152
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4 changed files with 299 additions and 8 deletions
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14
src/telemetry/prometheus/metrics.py
View File

@ -144,6 +144,12 @@ deriver_tokens_processed_counter = NamespacedCounter(
["namespace", "task_type", "token_type", "component"],
)
summary_rejections_counter = NamespacedCounter(
"summary_rejections",
"Total summaries rejected by validation before persistence",
["namespace", "summary_type", "reason"],
)
dialectic_tokens_processed_counter = NamespacedCounter(
"dialectic_tokens_processed",
"Total tokens processed by the dialectic",
@ -402,6 +408,14 @@ class PrometheusMetrics:
except Exception as e:
self._handle_metric_error("record_deriver_tokens", e)
def record_summary_rejection(self, *, summary_type: str, reason: str) -> None:
try:
summary_rejections_counter.labels(
summary_type=summary_type, reason=reason
).inc()
except Exception as e:
self._handle_metric_error("record_summary_rejection", e)
def record_dialectic_tokens(
self,
*,

78
src/utils/summarizer.py
View File

@ -98,6 +98,45 @@ class SummaryType(Enum):
LONG = "honcho_chat_summary_long"
# Degeneration guard (#899). A model that loops until the output cap emits non-empty
# text, so the empty-check in _create_summary can't catch it. distinct-4 is chosen over
# zlib compression ratio because it is length-stable: measured 1.00 on clean prose from
# 3.7k-30k chars, while zlib drifts 2.17 -> 2.50 and would cross Whisper's 2.4 threshold
# on perfectly good long text. Against this PR's fixtures the #899 degenerate loop scores
# 0.003 while heavily templated but legitimate prose that also hits the cap scores 0.467,
# so 0.35 leaves the clean case a 1.33x margin and the degenerate case two orders below.
_DEGENERATE_NGRAM_N = 4
_DEGENERATE_DISTINCT_RATIO = 0.35
# Provider-native cap-hit spellings; never normalized by completion_result_to_response.
_CAP_FINISH_REASONS = frozenset({"max_tokens", "length"})
def _distinct_ngram_ratio(text: str, n: int = _DEGENERATE_NGRAM_N) -> float:
"""Fraction of n-grams in `text` that are unique. 1.0 = no repetition."""
words = text.split()
if len(words) < n:
return 1.0
grams = [tuple(words[i : i + n]) for i in range(len(words) - n + 1)]
return len(set(grams)) / len(grams)
def _hit_output_cap(finish_reasons: list[str]) -> bool:
"""True when any provider reported stopping at the output-token cap."""
return any(r.lower() in _CAP_FINISH_REASONS for r in finish_reasons)
def _basic_fallback_summary(
message_count: int, last_message_content_preview: str
) -> str:
"""Deterministic one-liner used when the LLM summary is unusable."""
if message_count <= 0:
return ""
return (
f"Conversation with {message_count} messages about "
f"{last_message_content_preview}..."
)
def short_summary_prompt(
formatted_messages: str,
output_words: int,
@ -615,21 +654,44 @@ async def _create_summary(
response.finish_reasons,
)
is_fallback = True
summary_text = (
f"Conversation with {message_count} messages about {last_message_content_preview}..."
if message_count > 0
else ""
summary_text = _basic_fallback_summary(
message_count, last_message_content_preview
)
summary_tokens = estimate_tokens(summary_text) if summary_text else 0
llm_input_tokens = 0
llm_output_tokens = 0
elif _hit_output_cap(response.finish_reasons):
repetition_ratio = _distinct_ngram_ratio(summary_text)
if repetition_ratio < _DEGENERATE_DISTINCT_RATIO:
logger.error(
(
"Generated %s summary is degenerate: hit the output cap "
"(finish_reasons=%s) with a distinct-%d ratio of %.3f < %.2f. "
"Discarding; the previous summary is retained."
),
summary_type.name,
response.finish_reasons,
_DEGENERATE_NGRAM_N,
repetition_ratio,
_DEGENERATE_DISTINCT_RATIO,
)
is_fallback = True
summary_text = _basic_fallback_summary(
message_count, last_message_content_preview
)
summary_tokens = estimate_tokens(summary_text) if summary_text else 0
llm_input_tokens = 0 # match the documented fallback contract
llm_output_tokens = 0
if settings.METRICS.ENABLED:
prometheus_metrics.record_summary_rejection(
summary_type=summary_type.name.lower(),
reason="degenerate_repetition",
)
except Exception:
logger.exception("Error generating summary!")
# Fallback to a basic summary in case of error
summary_text = (
f"Conversation with {message_count} messages about {last_message_content_preview}..."
if message_count > 0
else ""
summary_text = _basic_fallback_summary(
message_count, last_message_content_preview
)
summary_tokens = 0
is_fallback = True

71
tests/integration/test_token_metrics.py
View File

@ -31,6 +31,7 @@ from src.schemas import (
from src.telemetry.prometheus.metrics import (
deriver_tokens_processed_counter,
dialectic_tokens_processed_counter,
summary_rejections_counter,
)
from src.utils.representation import ExplicitObservationBase, PromptRepresentation
from src.utils.summarizer import (
@ -385,6 +386,76 @@ class TestDeriverIngestionMetrics:
assert delta > 0, f"Expected messages input tokens > 0, got {delta}"
# =============================================================================
# Summary degeneration guard (#899)
# =============================================================================
_DEGENERATE_SUMMARY_TEXT = "Human. Forever. Human. Always. Human value. Always. " * 300
@pytest.mark.asyncio
class TestSummaryDegenerationGuard:
"""Persistence-boundary tests for the #899 degeneration guard."""
async def test_degenerate_cap_hit_does_not_save_summary(
self,
db_session: AsyncSession,
sample_data: tuple[Workspace, Peer],
prometheus_test_setup: PrometheusMetricChecker,
):
"""Degenerate max_tokens summary must not call _save_summary and must count rejection."""
metric_checker = prometheus_test_setup
workspace, peer = sample_data
session = await create_test_session_with_peer(db_session, workspace, peer)
messages = await create_test_messages(
db_session, workspace.name, session.name, peer.name, count=5
)
last_message = messages[-1]
mock_response = HonchoLLMCallResponse(
content=_DEGENERATE_SUMMARY_TEXT,
input_tokens=20000,
output_tokens=4000,
finish_reasons=["max_tokens"],
)
rejection_labels = {
"namespace": "test",
"summary_type": "long",
"reason": "degenerate_repetition",
}
before = metric_checker.capture(summary_rejections_counter, rejection_labels)
with (
patch(
"src.utils.summarizer.create_long_summary",
new=AsyncMock(return_value=mock_response),
),
patch(
"src.utils.summarizer._save_summary",
new=AsyncMock(),
) as mock_save,
):
await _create_and_save_summary(
workspace_name=workspace.name,
session_name=session.name,
message_id=last_message.id,
message_seq_in_session=last_message.seq_in_session,
summary_type=SummaryType.LONG,
message_public_id=last_message.public_id,
configuration=create_test_configuration(),
)
mock_save.assert_not_awaited()
metric_checker.assert_delta(
summary_rejections_counter,
rejection_labels,
before,
1,
"Summary rejection counter",
)
# =============================================================================
# Deriver Summary Metrics Tests
# =============================================================================

144
tests/utils/test_summarizer.py
View File

@ -27,6 +27,49 @@ _MESSAGE_PUBLIC_ID = "msg_abc123"
_LAST_MESSAGE_ID = 42
_LAST_MESSAGE_CONTENT_PREVIEW = "hello there how are you"
_MESSAGE_COUNT = 5
# Degenerate long-summary loop from #899 — non-empty, highly repetitive.
_DEGENERATE_TEXT = "Human. Forever. Human. Always. Human value. Always. " * 300
# Clean prose that can still hit the output cap (must not be rejected).
# Distinct-4 ratio must stay well above 0.35 — do not build this by repeating
# a single paragraph (that scores ~0.05 and would false-trigger the guard).
_CLEAN_CAP_HIT_TOPICS = [
"project planning",
"deadline prioritization",
"communication preferences",
"quarterly goals",
"beta launch readiness",
"analytics rewrite deferral",
"stakeholder alignment",
"risk mitigation",
"capacity planning",
"design review feedback",
"API contract changes",
"migration sequencing",
"observability gaps",
"incident response drills",
"onboarding materials",
"vendor evaluation",
"budget reforecast",
"security audit findings",
"customer interviews",
"feature flag rollout",
"performance baselines",
"dependency upgrades",
"test coverage targets",
"release checklist",
"team rituals",
"documentation debt",
"support handoff notes",
"partner integrations",
"data retention policy",
"accessibility fixes",
]
_CLEAN_CAP_HIT_TEXT = " ".join(
f"In discussion segment {i + 1}, the participants covered {topic}. "
f"They agreed on concrete next steps, owners, and a follow-up date. "
f"Open questions around {topic} were parked for the next working session."
for i, topic in enumerate(_CLEAN_CAP_HIT_TOPICS)
)
async def _call_create_summary(
@ -221,6 +264,107 @@ class TestCreateSummary:
assert summary["content"] == ""
assert summary["token_count"] == 0
@pytest.mark.parametrize("finish_reason", ["max_tokens", "length", "MAX_TOKENS"])
async def test_degenerate_cap_hit_response_uses_fallback(self, finish_reason: str):
"""A summary that loops until the output cap is discarded, not persisted (#899)."""
mock_response = HonchoLLMCallResponse(
content=_DEGENERATE_TEXT,
input_tokens=20000,
output_tokens=settings.SUMMARY.MAX_TOKENS_LONG,
finish_reasons=[finish_reason],
)
with patch(
"src.utils.summarizer.create_long_summary",
new_callable=AsyncMock,
return_value=mock_response,
):
summary, is_fallback, in_tok, out_tok = await _call_create_summary(
SummaryType.LONG
)
assert is_fallback is True
assert "Human. Forever." not in summary["content"]
assert (in_tok, out_tok) == (0, 0)
async def test_degenerate_cap_hit_short_summary_uses_fallback(self):
"""Shared guard covers SHORT as well as LONG (#899)."""
mock_response = HonchoLLMCallResponse(
content=_DEGENERATE_TEXT,
input_tokens=5000,
output_tokens=settings.SUMMARY.MAX_TOKENS_SHORT,
finish_reasons=["max_tokens"],
)
with patch(
"src.utils.summarizer.create_short_summary",
new_callable=AsyncMock,
return_value=mock_response,
):
summary, is_fallback, in_tok, out_tok = await _call_create_summary(
SummaryType.SHORT
)
assert is_fallback is True
assert "Human. Forever." not in summary["content"]
assert (in_tok, out_tok) == (0, 0)
async def test_degenerate_stop_finish_keeps_content(self):
"""Cap-hit conjunct is required — stop + degenerate text is not rejected (#899)."""
mock_response = HonchoLLMCallResponse(
content=_DEGENERATE_TEXT,
input_tokens=20000,
output_tokens=500,
finish_reasons=["stop"],
)
with patch(
"src.utils.summarizer.create_long_summary",
new_callable=AsyncMock,
return_value=mock_response,
):
summary, is_fallback, _, _ = await _call_create_summary(SummaryType.LONG)
assert is_fallback is False
assert "Human. Forever." in summary["content"]
async def test_degenerate_empty_finish_reasons_keeps_content(self):
"""Empty finish_reasons must not reject (#899)."""
mock_response = HonchoLLMCallResponse(
content=_DEGENERATE_TEXT,
input_tokens=20000,
output_tokens=500,
finish_reasons=[],
)
with patch(
"src.utils.summarizer.create_long_summary",
new_callable=AsyncMock,
return_value=mock_response,
):
summary, is_fallback, _, _ = await _call_create_summary(SummaryType.LONG)
assert is_fallback is False
assert "Human. Forever." in summary["content"]
async def test_clean_prose_cap_hit_keeps_content(self):
"""Dense valid summary that hits the cap is still valid (#899)."""
mock_response = HonchoLLMCallResponse(
content=_CLEAN_CAP_HIT_TEXT,
input_tokens=20000,
output_tokens=settings.SUMMARY.MAX_TOKENS_LONG,
finish_reasons=["max_tokens"],
)
with patch(
"src.utils.summarizer.create_long_summary",
new_callable=AsyncMock,
return_value=mock_response,
):
summary, is_fallback, in_tok, out_tok = await _call_create_summary(
SummaryType.LONG
)
assert is_fallback is False
assert "project planning" in summary["content"]
assert in_tok == 20000
assert out_tok == settings.SUMMARY.MAX_TOKENS_LONG
@pytest.mark.asyncio
class TestSummaryCallerMigration: