hermes-agent/tests/run_agent/test_infinite_compaction_loop.py
Tranquil-Flow 0b6df665a9 fix(compression): autoraise gpt-5.3-codex-spark threshold to 70% (#48621)
gpt-5.3-codex-spark has a native 128K context window but the default
50% compaction trigger fires at ~64K, wasting half the usable window
before the session has accumulated enough turns to summarize
meaningfully.  This raises the trigger to 70% (~90K) on the Codex OAuth
route only, leaving ~38K headroom for the summary and continued
conversation before the 128K hard limit.

The override is not gated by allow_codex_gpt55_autoraise because 128K
is the model's native window (unlike gpt-5.5's artificial 272K Codex
cap).  Non-Codex routes are unaffected.

Also adds a boundary regression test verifying the short-session
scenario from the issue always yields a non-empty compressible window
(no silent context wipe).
2026-07-06 12:46:20 -07:00

340 lines
14 KiB
Python

"""Tests for the infinite compaction loop fix (issue #40803).
When summary_target_ratio is large enough that the entire transcript fits
within soft_ceiling, the backward walk in _find_tail_cut_by_tokens never
breaks early. Without the fix this produces either a no-op compression
(compress_start >= compress_end) or a single-message compression whose
summary-of-one overhead saves 0 tokens — both of which cause the
compressor to fire on every subsequent turn with no progress.
The fix adds two safeguards:
1. _find_tail_cut_by_tokens: when the whole transcript fits in soft_ceiling,
re-walk with the raw (non-inflated) budget to find a meaningful cut.
2. compress(): when compress_start >= compress_end, record the no-op as
an ineffective compression so should_compress() anti-thrashing fires.
"""
from unittest.mock import patch, MagicMock
import time
from agent.context_compressor import ContextCompressor, _CHARS_PER_TOKEN
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
def _make_compressor(**kwargs) -> ContextCompressor:
defaults = dict(
model="test-model",
threshold_percent=0.65,
protect_first_n=2,
protect_last_n=3,
quiet_mode=True,
)
defaults.update(kwargs)
with patch("agent.context_compressor.get_model_context_length", return_value=96000):
return ContextCompressor(**defaults)
def _build_session(n_turns: int, words_per_turn: int = 20) -> list:
"""Build a multi-turn conversation with a system prompt."""
base_text = " ".join(["a"] * words_per_turn)
messages = [{"role": "system", "content": "You are a helpful agent."}]
for i in range(n_turns):
messages.append({"role": "user", "content": f"{base_text} (user turn {i})"})
messages.append({"role": "assistant", "content": f"{base_text} (assistant turn {i})"})
return messages
# ---------------------------------------------------------------------------
# Test: compress_start >= compress_end registers as ineffective
# ---------------------------------------------------------------------------
class TestCompressNoOpRegistersIneffective:
"""When compress_start >= compress_end, the fix records this as
an ineffective compression so the anti-thrashing guard fires.
We trigger this path by having _find_tail_cut_by_tokens return
head_end (which makes compress_end = head_end + 1, same as
compress_start after alignment)."""
def test_no_op_increments_counter(self):
"""compress_start >= compress_end -> _ineffective_compression_count += 1"""
comp = _make_compressor(
summary_target_ratio=0.45,
config_context_length=96000,
)
# A large session that passes the min_for_compress check
messages = _build_session(10, words_per_turn=10)
comp.last_prompt_tokens = 65_000
# Mock _find_tail_cut_by_tokens to return head_end,
# causing compress_start >= compress_end
original = comp._find_tail_cut_by_tokens
comp._find_tail_cut_by_tokens = lambda msgs, he: he # force no-op
result = comp.compress(messages, current_tokens=65_000)
assert comp._ineffective_compression_count >= 1, (
f"Expected ineffective_compression_count >= 1, got {comp._ineffective_compression_count}"
)
def test_no_op_sets_savings_to_zero(self):
"""compress_start >= compress_end -> _last_compression_savings_pct = 0"""
comp = _make_compressor(
summary_target_ratio=0.45,
config_context_length=96000,
)
messages = _build_session(10, words_per_turn=10)
comp.last_prompt_tokens = 65_000
comp._find_tail_cut_by_tokens = lambda msgs, he: he # force no-op
comp.compress(messages, current_tokens=65_000)
assert comp._last_compression_savings_pct == 0.0
def test_two_no_ops_block_should_compress(self):
"""After 2 no-op compressions, should_compress returns False."""
comp = _make_compressor(
summary_target_ratio=0.45,
config_context_length=96000,
)
messages = _build_session(10, words_per_turn=10)
comp.last_prompt_tokens = 65_000
comp._find_tail_cut_by_tokens = lambda msgs, he: he # force no-op
comp.compress(messages, current_tokens=65_000)
comp.compress(messages, current_tokens=65_000)
assert comp._ineffective_compression_count >= 2
assert not comp.should_compress(65_000), (
"should_compress should return False after 2+ ineffective compressions"
)
def test_no_op_returns_unchanged_messages(self):
"""compress_start >= compress_end -> messages returned unchanged"""
comp = _make_compressor(
summary_target_ratio=0.45,
config_context_length=96000,
)
messages = _build_session(10, words_per_turn=10)
comp.last_prompt_tokens = 65_000
original_cut = comp._find_tail_cut_by_tokens
comp._find_tail_cut_by_tokens = lambda msgs, he: he # force no-op
result = comp.compress(messages, current_tokens=65_000)
assert len(result) == len(messages), (
f"Expected unchanged message count {len(messages)}, got {len(result)}"
)
comp._find_tail_cut_by_tokens = original_cut
# ---------------------------------------------------------------------------
# Test: _find_tail_cut_by_tokens raw-budget fallback
# ---------------------------------------------------------------------------
class TestTailCutRawBudgetFallback:
"""When the entire transcript fits within soft_ceiling, the fix
re-walks with the raw budget to find a meaningful cut point."""
def test_meaningful_cut_with_large_ratio(self):
"""With summary_target_ratio=0.45, _find_tail_cut_by_tokens still
leaves a meaningful compressable region."""
comp = _make_compressor(
summary_target_ratio=0.45,
config_context_length=96000,
)
messages = _build_session(20, words_per_turn=20)
head_end = comp._protect_head_size(messages)
head_end = comp._align_boundary_forward(messages, head_end)
cut = comp._find_tail_cut_by_tokens(messages, head_end)
n = len(messages)
middle_size = cut - head_end
assert middle_size >= 3, (
f"Expected at least 3 messages in compressable region, got {middle_size} "
f"(cut={cut}, head_end={head_end}, n={n})"
)
def test_default_ratio_still_works(self):
"""Default ratio (0.20) should not be affected by the fix."""
comp = _make_compressor(
summary_target_ratio=0.20,
config_context_length=96000,
)
messages = _build_session(20, words_per_turn=50)
head_end = comp._protect_head_size(messages)
head_end = comp._align_boundary_forward(messages, head_end)
cut = comp._find_tail_cut_by_tokens(messages, head_end)
n = len(messages)
assert head_end < cut < n, (
f"Expected head_end ({head_end}) < cut ({cut}) < n ({n})"
)
def test_proactive_fix_prevents_no_op_window(self):
"""The raw-budget fallback in _find_tail_cut_by_tokens should prevent
compress_start >= compress_end for the exact issue scenario:
context_length=96000, summary_target_ratio=0.45."""
comp = _make_compressor(
summary_target_ratio=0.45,
config_context_length=96000,
)
# Simulate the issue scenario: 16 messages, all fitting in soft_ceiling
messages = _build_session(8, words_per_turn=30) # 17 messages
head_end = comp._protect_head_size(messages)
head_end = comp._align_boundary_forward(messages, head_end)
cut = comp._find_tail_cut_by_tokens(messages, head_end)
# With the fix, cut should be well past head_end
assert cut > head_end + 1, (
f"Expected cut ({cut}) > head_end ({head_end}) + 1, "
f"meaning the compressable window is non-trivial"
)
# ---------------------------------------------------------------------------
# Test: Effective compression resets counter
# ---------------------------------------------------------------------------
class TestEffectiveCompressionResetsCounter:
"""When compression actually saves tokens, the ineffective counter resets."""
def test_effective_compression_resets_counter(self):
"""After an effective compression, _ineffective_compression_count = 0."""
comp = _make_compressor(
summary_target_ratio=0.20,
config_context_length=96000,
)
messages = _build_session(30, words_per_turn=100)
comp._generate_summary = MagicMock(return_value="Compacted summary of earlier turns.")
comp.last_prompt_tokens = 65_000
comp.compress(messages, current_tokens=65_000)
assert comp._ineffective_compression_count == 0, (
f"Expected 0 ineffective compressions with effective compression, "
f"got {comp._ineffective_compression_count}"
)
# ---------------------------------------------------------------------------
# Test: anti-thrashing in should_compress
# ---------------------------------------------------------------------------
class TestAntiThrashing:
"""Directly test the should_compress anti-thrashing guard."""
def test_ineffective_count_2_blocks(self):
"""_ineffective_compression_count >= 2 -> should_compress returns False."""
comp = _make_compressor(config_context_length=96000)
comp.last_prompt_tokens = 65_000
comp._ineffective_compression_count = 2
assert not comp.should_compress(65_000)
def test_ineffective_count_1_allows(self):
"""_ineffective_compression_count = 1 -> should_compress still True."""
comp = _make_compressor(config_context_length=96000)
comp.last_prompt_tokens = 65_000
comp._ineffective_compression_count = 1
assert comp.should_compress(65_000)
def test_below_threshold_allows(self):
"""Tokens below threshold -> should_compress returns False regardless."""
comp = _make_compressor(config_context_length=96000)
comp.last_prompt_tokens = 10_000
assert not comp.should_compress(10_000)
# ---------------------------------------------------------------------------
# Test: summary-LLM cooldown guard in should_compress (#11529)
# ---------------------------------------------------------------------------
class TestCooldownGuard:
"""should_compress() must skip compression while the summary LLM is in
cooldown, otherwise a 429/transient failure re-fires _compress_context()
every turn (inserting a fallback marker repeatedly) and freezes the CLI.
"""
def test_active_cooldown_blocks(self):
"""A future cooldown deadline -> should_compress returns False even
when tokens are over threshold."""
comp = _make_compressor(config_context_length=96000)
comp.last_prompt_tokens = 65_000
comp._summary_failure_cooldown_until = time.monotonic() + 60
assert not comp.should_compress(65_000)
def test_expired_cooldown_allows(self):
"""A past cooldown deadline -> compression resumes normally."""
comp = _make_compressor(config_context_length=96000)
comp.last_prompt_tokens = 65_000
comp._summary_failure_cooldown_until = time.monotonic() - 1
assert comp.should_compress(65_000)
def test_no_cooldown_allows(self):
"""The default (no cooldown set) does not block compression."""
comp = _make_compressor(config_context_length=96000)
comp.last_prompt_tokens = 65_000
assert comp._summary_failure_cooldown_until == 0.0
assert comp.should_compress(65_000)
# ---------------------------------------------------------------------------
# Test: #48621 — gpt-5.3-codex-spark short-session boundary
#
# Issue #48621 Bug 2 claims that a short high-token session (15-20 messages,
# ~90k tokens on a 128k model with protect_last_n=20) hits
# compress_start >= compress_end, causing a silent context wipe. The
# raw-budget fallback added in the #40803 fix already mitigates this: the
# boundary logic always exposes a minimal compressible window. This test
# locks that behavior in for the exact #48621 parameters.
# ---------------------------------------------------------------------------
class TestCodexSparkShortSessionBoundary:
"""Verify that gpt-5.3-codex-spark's short-session scenario always yields
a non-empty compressible window (no silent wipe)."""
def test_short_high_token_session_has_compressible_window(self):
"""16 messages with large tool outputs on a 128k model must leave
a compressible middle (compress_start < compress_end)."""
comp = _make_compressor(
model="gpt-5.3-codex-spark",
threshold_percent=0.70,
protect_first_n=3,
protect_last_n=20,
config_context_length=128000,
)
# Build system + 3 head pairs + 3 tool groups (large outputs) + tail pair
big_tool = "x" * 20000 # ~5k tokens each
messages = [{"role": "system", "content": "You are a helpful agent."}]
for i in range(3):
messages.append({"role": "user", "content": f"Question {i}"})
messages.append({"role": "assistant", "content": f"Answer {i}"})
for i in range(3):
messages.append({"role": "user", "content": f"Run command {i}"})
messages.append({
"role": "assistant", "content": "",
"tool_calls": [{
"id": f"tc{i}", "type": "function",
"function": {"name": "terminal", "arguments": "{}"},
}],
})
messages.append({"role": "tool", "tool_call_id": f"tc{i}", "content": big_tool})
messages.append({"role": "user", "content": "Final question"})
messages.append({"role": "assistant", "content": "Final answer"})
head = comp._protect_head_size(messages)
compress_start = comp._align_boundary_forward(messages, head)
compress_end = comp._find_tail_cut_by_tokens(messages, compress_start)
assert compress_start < compress_end, (
f"No compressible window: start={compress_start}, end={compress_end}. "
f"This would cause the silent context wipe described in #48621."
)
assert comp.has_content_to_compress(messages) is True