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nousresearch--hermes-agent/tests/agent/test_compressor_zero_user_guard.py
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chore: import upstream snapshot with attribution
2026-07-13 11:56:03 +08:00

181 lines
7.2 KiB
Python

"""Regression coverage for #58753 — compression could drop the only
user-role message, leaving a transcript with ZERO user turns.
The compressor already pins the handoff summary to ``role="user"`` when
the only protected head message is the system prompt (#52160). But that
guard keys off ``last_head_role == "system"``, which is only true when
the system prompt actually sits inside ``messages`` — the gateway
``/compress`` path. The main auto-compression path passes the transcript
WITHOUT the system prompt (it is prepended at request-build time, see
``conversation_loop`` — ``api_messages = [{"role": "system", ...}] +
api_messages``). There ``last_head_role`` defaults to ``"user"`` and the
summary is emitted as ``role="assistant"``.
On a session whose only genuine user turn falls into the compressed
middle — the canonical shape being a ``hermes kanban`` worker seeded with
a single short ``"work kanban task <id>"`` prompt followed by nothing but
assistant/tool turns — the compressed output then contains no user-role
message at all. OpenAI-compatible backends (vLLM/Qwen) reject such a
request with a non-retryable ``400 No user query found in messages``,
crashing the worker with no possible recovery (every resume replays the
same poisoned history).
The fix generalises the #52160 guard: when NO user-role message survives
in the protected head or preserved tail, the summary MUST carry
``role="user"``.
"""
from __future__ import annotations
from unittest.mock import patch
import pytest
@pytest.fixture()
def compressor():
from agent.context_compressor import ContextCompressor
with patch(
"agent.context_compressor.get_model_context_length",
return_value=100_000,
):
c = ContextCompressor(
model="test/model",
threshold_percent=0.50,
protect_first_n=3,
protect_last_n=20,
quiet_mode=True,
)
c.tail_token_budget = 40
return c
def _tool_turns(start: int, n: int) -> list[dict]:
out: list[dict] = []
for i in range(start, start + n):
out.append(
{
"role": "assistant",
"content": None,
"tool_calls": [
{
"id": f"c{i}",
"function": {"name": "read_task", "arguments": "{}"},
}
],
}
)
out.append({"role": "tool", "content": "x" * 300, "tool_call_id": f"c{i}"})
return out
def _role_hist(messages: list[dict]) -> dict[str, int]:
hist: dict[str, int] = {}
for m in messages:
hist[m.get("role")] = hist.get(m.get("role"), 0) + 1
return hist
class TestCompressAlwaysKeepsAUserTurn:
def test_kanban_worker_recompaction_keeps_user_turn(self, compressor):
"""The exact #58753 shape: no system prompt in the list, a
re-compaction (``protect_first_n`` decayed to 0), and the only
user turn old enough to fall into the compressed middle. Before
the fix, the summary was emitted as ``assistant`` and the output
had zero user-role messages."""
from agent.context_compressor import SUMMARY_PREFIX
c = compressor
# A prior compaction has already happened → protect_first_n decays
# to 0 so compress_start lands at 0 (no protected head).
c.compression_count = 1
# No system message: the main loop prepends it separately.
messages = [{"role": "user", "content": "work kanban task 42"}]
messages += _tool_turns(0, 12)
mocked = f"{SUMMARY_PREFIX}\nrolled-up summary of the tool work"
with patch.object(c, "_generate_summary", return_value=mocked):
out = c.compress(messages, current_tokens=90_000)
hist = _role_hist(out)
assert hist.get("user", 0) >= 1, (
"REGRESSION (#58753): compression produced a transcript with "
f"zero user-role messages, which vLLM/Qwen reject with a "
f"non-retryable 400. Role histogram: {hist}"
)
def test_summary_pinned_to_user_when_no_user_survives(self, compressor):
"""When the whole compressible region is assistant/tool and no
user message survives in head or tail, the inserted summary
itself must be the user turn."""
from agent.context_compressor import (
SUMMARY_PREFIX,
COMPRESSED_SUMMARY_METADATA_KEY,
)
c = compressor
c.compression_count = 1
messages = [{"role": "user", "content": "work kanban task 7"}]
messages += _tool_turns(0, 12)
mocked = f"{SUMMARY_PREFIX}\nsummary body"
with patch.object(c, "_generate_summary", return_value=mocked):
out = c.compress(messages, current_tokens=90_000)
summary_rows = [m for m in out if m.get(COMPRESSED_SUMMARY_METADATA_KEY)]
assert len(summary_rows) == 1
assert summary_rows[0].get("role") == "user", (
"The handoff summary must carry role=user when it is the only "
"possible user turn in the compressed transcript (#58753)."
)
def test_no_consecutive_user_roles_introduced(self, compressor):
"""Forcing the summary to role=user must not create two
consecutive user-role messages (strict alternation invariant).
When a user survives in the tail we do NOT force, so the pinned
summary can never collide with a user-role neighbour."""
from agent.context_compressor import SUMMARY_PREFIX
c = compressor
c.compression_count = 1
messages = [{"role": "user", "content": "work kanban task 9"}]
messages += _tool_turns(0, 12)
mocked = f"{SUMMARY_PREFIX}\nsummary body"
with patch.object(c, "_generate_summary", return_value=mocked):
out = c.compress(messages, current_tokens=90_000)
for prev, cur in zip(out, out[1:]):
assert not (
prev.get("role") == "user" and cur.get("role") == "user"
), "compression introduced consecutive user-role messages"
def test_preserved_tail_user_is_not_overridden(self, compressor):
"""When a genuine user message survives in the tail, the guard
must NOT fire (the summary keeps its alternation-driven role) —
the request already has a user turn."""
from agent.context_compressor import SUMMARY_PREFIX
c = compressor
c.compression_count = 1
c.tail_token_budget = 10 # tight tail so most turns compress
messages = [{"role": "user", "content": "old task"}]
messages += _tool_turns(0, 10)
# A recent, genuine user turn that will be preserved in the tail.
messages += [
{"role": "user", "content": "the latest live user question"},
{"role": "assistant", "content": "on it"},
]
mocked = f"{SUMMARY_PREFIX}\nsummary body"
with patch.object(c, "_generate_summary", return_value=mocked):
out = c.compress(messages, current_tokens=90_000)
hist = _role_hist(out)
assert hist.get("user", 0) >= 1
joined = "\n".join(
m.get("content") for m in out if isinstance(m.get("content"), str)
)
assert "the latest live user question" in joined