hermes-agent/tests/run_agent/test_compression_feasibility.py
Teknium 4f24db4258
fix(compression): enforce 64k floor on aux model + auto-correct threshold (#12898)
Context compression silently failed when the auxiliary compression model's
context window was smaller than the main model's compression threshold
(e.g. GLM-4.5-air at 131k paired with a 150k threshold).  The feasibility
check warned but the session kept running and compression attempts errored
out mid-conversation.

Two changes in _check_compression_model_feasibility():

1. Hard floor: if detected aux context < MINIMUM_CONTEXT_LENGTH (64k),
   raise ValueError so the session refuses to start.  Mirrors the existing
   main-model rejection at AIAgent.__init__ line 1600.  A compression model
   below 64k cannot summarise a full threshold-sized window.

2. Auto-correct: when aux context is >= 64k but below the computed
   threshold, lower the live compressor's threshold_tokens to aux_context
   (and update threshold_percent to match so later update_model() calls
   stay in sync).  Warning reworded to say what was done and how to
   persist the fix in config.yaml.

Only ValueError re-raises; other exceptions in the check remain swallowed
as non-fatal.
2026-04-20 00:56:04 -07:00

440 lines
16 KiB
Python

"""Tests for _check_compression_model_feasibility() — warns when the
auxiliary compression model's context is smaller than the main model's
compression threshold.
Two-phase design:
1. __init__ → runs the check, prints via _vprint (CLI), stores warning
2. run_conversation (first call) → replays stored warning through
status_callback (gateway platforms)
"""
from unittest.mock import MagicMock, patch
import pytest
from run_agent import AIAgent
from agent.context_compressor import ContextCompressor
def _make_agent(
*,
compression_enabled: bool = True,
threshold_percent: float = 0.50,
main_context: int = 200_000,
) -> AIAgent:
"""Build a minimal AIAgent with a compressor, skipping __init__."""
agent = AIAgent.__new__(AIAgent)
agent.model = "test-main-model"
agent.provider = "openrouter"
agent.base_url = "https://openrouter.ai/api/v1"
agent.api_key = "sk-test"
agent.api_mode = "chat_completions"
agent.quiet_mode = True
agent.log_prefix = ""
agent.compression_enabled = compression_enabled
agent._print_fn = None
agent.suppress_status_output = False
agent._stream_consumers = []
agent._executing_tools = False
agent._mute_post_response = False
agent.status_callback = None
agent.tool_progress_callback = None
agent._compression_warning = None
agent._aux_compression_context_length_config = None
compressor = MagicMock(spec=ContextCompressor)
compressor.context_length = main_context
compressor.threshold_tokens = int(main_context * threshold_percent)
agent.context_compressor = compressor
return agent
# ── Core warning logic ──────────────────────────────────────────────
@patch("agent.model_metadata.get_model_context_length", return_value=80_000)
@patch("agent.auxiliary_client.get_text_auxiliary_client")
def test_auto_corrects_threshold_when_aux_context_below_threshold(mock_get_client, mock_ctx_len):
"""Auto-correction: aux >= 64K floor but < threshold → lower threshold
to aux_context so compression still works this session."""
agent = _make_agent(main_context=200_000, threshold_percent=0.50)
# threshold = 100,000 — aux has 80,000 (above 64K floor, below threshold)
mock_client = MagicMock()
mock_client.base_url = "https://openrouter.ai/api/v1"
mock_client.api_key = "sk-aux"
mock_get_client.return_value = (mock_client, "google/gemini-3-flash-preview")
messages = []
agent._emit_status = lambda msg: messages.append(msg)
agent._check_compression_model_feasibility()
assert len(messages) == 1
assert "Compression model" in messages[0]
assert "80,000" in messages[0] # aux context
assert "100,000" in messages[0] # old threshold
assert "Auto-lowered" in messages[0]
# Actionable persistence guidance included
assert "config.yaml" in messages[0]
assert "auxiliary:" in messages[0]
assert "compression:" in messages[0]
assert "threshold:" in messages[0]
# Warning stored for gateway replay
assert agent._compression_warning is not None
# Threshold on the live compressor was actually lowered
assert agent.context_compressor.threshold_tokens == 80_000
@patch("agent.model_metadata.get_model_context_length", return_value=32_768)
@patch("agent.auxiliary_client.get_text_auxiliary_client")
def test_rejects_aux_below_minimum_context(mock_get_client, mock_ctx_len):
"""Hard floor: aux context < MINIMUM_CONTEXT_LENGTH (64K) → session
refuses to start (ValueError), mirroring the main-model rejection."""
agent = _make_agent(main_context=200_000, threshold_percent=0.50)
mock_client = MagicMock()
mock_client.base_url = "https://openrouter.ai/api/v1"
mock_client.api_key = "sk-aux"
mock_get_client.return_value = (mock_client, "tiny-aux-model")
agent._emit_status = lambda msg: None
with pytest.raises(ValueError) as exc_info:
agent._check_compression_model_feasibility()
err = str(exc_info.value)
assert "tiny-aux-model" in err
assert "32,768" in err
assert "64,000" in err
assert "below the minimum" in err
@patch("agent.model_metadata.get_model_context_length", return_value=200_000)
@patch("agent.auxiliary_client.get_text_auxiliary_client")
def test_no_warning_when_aux_context_sufficient(mock_get_client, mock_ctx_len):
"""No warning when aux model context >= main model threshold."""
agent = _make_agent(main_context=200_000, threshold_percent=0.50)
# threshold = 100,000 — aux has 200,000 (sufficient)
mock_client = MagicMock()
mock_client.base_url = "https://openrouter.ai/api/v1"
mock_client.api_key = "sk-aux"
mock_get_client.return_value = (mock_client, "google/gemini-2.5-flash")
messages = []
agent._emit_status = lambda msg: messages.append(msg)
agent._check_compression_model_feasibility()
assert len(messages) == 0
assert agent._compression_warning is None
def test_feasibility_check_passes_live_main_runtime():
"""Compression feasibility should probe using the live session runtime."""
agent = _make_agent(main_context=200_000, threshold_percent=0.50)
agent.model = "gpt-5.4"
agent.provider = "openai-codex"
agent.base_url = "https://chatgpt.com/backend-api/codex"
agent.api_key = "codex-token"
agent.api_mode = "codex_responses"
mock_client = MagicMock()
mock_client.base_url = "https://chatgpt.com/backend-api/codex"
mock_client.api_key = "codex-token"
with patch("agent.auxiliary_client.get_text_auxiliary_client", return_value=(mock_client, "gpt-5.4")) as mock_get_client, \
patch("agent.model_metadata.get_model_context_length", return_value=200_000):
agent._emit_status = lambda msg: None
agent._check_compression_model_feasibility()
mock_get_client.assert_called_once_with(
"compression",
main_runtime={
"model": "gpt-5.4",
"provider": "openai-codex",
"base_url": "https://chatgpt.com/backend-api/codex",
"api_key": "codex-token",
"api_mode": "codex_responses",
},
)
@patch("agent.model_metadata.get_model_context_length", return_value=1_000_000)
@patch("agent.auxiliary_client.get_text_auxiliary_client")
def test_feasibility_check_passes_config_context_length(mock_get_client, mock_ctx_len):
"""auxiliary.compression.context_length from config is forwarded to
get_model_context_length so custom endpoints that lack /models still
report the correct context window (fixes #8499)."""
agent = _make_agent(main_context=200_000, threshold_percent=0.85)
agent._aux_compression_context_length_config = 1_000_000
mock_client = MagicMock()
mock_client.base_url = "http://custom-endpoint:8080/v1"
mock_client.api_key = "sk-custom"
mock_get_client.return_value = (mock_client, "custom/big-model")
agent._emit_status = lambda msg: None
agent._check_compression_model_feasibility()
mock_ctx_len.assert_called_once_with(
"custom/big-model",
base_url="http://custom-endpoint:8080/v1",
api_key="sk-custom",
config_context_length=1_000_000,
)
@patch("agent.model_metadata.get_model_context_length", return_value=128_000)
@patch("agent.auxiliary_client.get_text_auxiliary_client")
def test_feasibility_check_ignores_invalid_context_length(mock_get_client, mock_ctx_len):
"""Non-integer context_length in config is silently ignored."""
agent = _make_agent(main_context=200_000, threshold_percent=0.50)
agent._aux_compression_context_length_config = None
mock_client = MagicMock()
mock_client.base_url = "http://custom:8080/v1"
mock_client.api_key = "sk-test"
mock_get_client.return_value = (mock_client, "custom/model")
agent._emit_status = lambda msg: None
agent._check_compression_model_feasibility()
mock_ctx_len.assert_called_once_with(
"custom/model",
base_url="http://custom:8080/v1",
api_key="sk-test",
config_context_length=None,
)
def test_init_feasibility_check_uses_aux_context_override_from_config():
"""Real AIAgent init should cache and forward auxiliary.compression.context_length."""
class _StubCompressor:
def __init__(self, *args, **kwargs):
self.context_length = 200_000
self.threshold_tokens = 100_000
self.threshold_percent = 0.50
def get_tool_schemas(self):
return []
def on_session_start(self, *args, **kwargs):
return None
cfg = {
"auxiliary": {
"compression": {
"context_length": 1_000_000,
},
},
}
mock_client = MagicMock()
mock_client.base_url = "http://custom-endpoint:8080/v1"
mock_client.api_key = "sk-custom"
with (
patch("hermes_cli.config.load_config", return_value=cfg),
patch("run_agent.get_tool_definitions", return_value=[]),
patch("run_agent.check_toolset_requirements", return_value={}),
patch("run_agent.OpenAI"),
patch("run_agent.ContextCompressor", new=_StubCompressor),
patch("agent.auxiliary_client.get_text_auxiliary_client", return_value=(mock_client, "custom/big-model")),
patch("agent.model_metadata.get_model_context_length", return_value=1_000_000) as mock_ctx_len,
):
agent = AIAgent(
api_key="test-key-1234567890",
base_url="https://openrouter.ai/api/v1",
quiet_mode=True,
skip_context_files=True,
skip_memory=True,
)
assert agent._aux_compression_context_length_config == 1_000_000
mock_ctx_len.assert_called_once_with(
"custom/big-model",
base_url="http://custom-endpoint:8080/v1",
api_key="sk-custom",
config_context_length=1_000_000,
)
@patch("agent.auxiliary_client.get_text_auxiliary_client")
def test_warns_when_no_auxiliary_provider(mock_get_client):
"""Warning emitted when no auxiliary provider is configured."""
agent = _make_agent()
mock_get_client.return_value = (None, None)
messages = []
agent._emit_status = lambda msg: messages.append(msg)
agent._check_compression_model_feasibility()
assert len(messages) == 1
assert "No auxiliary LLM provider" in messages[0]
assert agent._compression_warning is not None
def test_skips_check_when_compression_disabled():
"""No check performed when compression is disabled."""
agent = _make_agent(compression_enabled=False)
messages = []
agent._emit_status = lambda msg: messages.append(msg)
agent._check_compression_model_feasibility()
assert len(messages) == 0
assert agent._compression_warning is None
@patch("agent.auxiliary_client.get_text_auxiliary_client")
def test_exception_does_not_crash(mock_get_client):
"""Exceptions in the check are caught — never blocks startup."""
agent = _make_agent()
mock_get_client.side_effect = RuntimeError("boom")
messages = []
agent._emit_status = lambda msg: messages.append(msg)
# Should not raise
agent._check_compression_model_feasibility()
# No user-facing message (error is debug-logged)
assert len(messages) == 0
@patch("agent.model_metadata.get_model_context_length", return_value=100_000)
@patch("agent.auxiliary_client.get_text_auxiliary_client")
def test_exact_threshold_boundary_no_warning(mock_get_client, mock_ctx_len):
"""No warning when aux context exactly equals the threshold."""
agent = _make_agent(main_context=200_000, threshold_percent=0.50)
mock_client = MagicMock()
mock_client.base_url = "https://openrouter.ai/api/v1"
mock_client.api_key = "sk-aux"
mock_get_client.return_value = (mock_client, "test-model")
messages = []
agent._emit_status = lambda msg: messages.append(msg)
agent._check_compression_model_feasibility()
assert len(messages) == 0
@patch("agent.model_metadata.get_model_context_length", return_value=99_999)
@patch("agent.auxiliary_client.get_text_auxiliary_client")
def test_just_below_threshold_auto_corrects(mock_get_client, mock_ctx_len):
"""Auto-correct fires when aux context is one token below the threshold
(and above the 64K hard floor)."""
agent = _make_agent(main_context=200_000, threshold_percent=0.50)
mock_client = MagicMock()
mock_client.base_url = "https://openrouter.ai/api/v1"
mock_client.api_key = "sk-aux"
mock_get_client.return_value = (mock_client, "small-model")
messages = []
agent._emit_status = lambda msg: messages.append(msg)
agent._check_compression_model_feasibility()
assert len(messages) == 1
assert "small-model" in messages[0]
assert "Auto-lowered" in messages[0]
assert agent.context_compressor.threshold_tokens == 99_999
# ── Two-phase: __init__ + run_conversation replay ───────────────────
@patch("agent.model_metadata.get_model_context_length", return_value=80_000)
@patch("agent.auxiliary_client.get_text_auxiliary_client")
def test_warning_stored_for_gateway_replay(mock_get_client, mock_ctx_len):
"""__init__ stores the warning; _replay sends it through status_callback."""
agent = _make_agent(main_context=200_000, threshold_percent=0.50)
mock_client = MagicMock()
mock_client.base_url = "https://openrouter.ai/api/v1"
mock_client.api_key = "sk-aux"
mock_get_client.return_value = (mock_client, "google/gemini-3-flash-preview")
# Phase 1: __init__ — _emit_status prints (CLI) but callback is None
vprint_messages = []
agent._emit_status = lambda msg: vprint_messages.append(msg)
agent._check_compression_model_feasibility()
assert len(vprint_messages) == 1 # CLI got it
assert agent._compression_warning is not None # stored for replay
# Phase 2: gateway wires callback post-init, then run_conversation replays
callback_events = []
agent.status_callback = lambda ev, msg: callback_events.append((ev, msg))
agent._replay_compression_warning()
assert any(
ev == "lifecycle" and "Auto-lowered" in msg
for ev, msg in callback_events
)
@patch("agent.model_metadata.get_model_context_length", return_value=200_000)
@patch("agent.auxiliary_client.get_text_auxiliary_client")
def test_no_replay_when_no_warning(mock_get_client, mock_ctx_len):
"""_replay_compression_warning is a no-op when there's no stored warning."""
agent = _make_agent(main_context=200_000, threshold_percent=0.50)
mock_client = MagicMock()
mock_client.base_url = "https://openrouter.ai/api/v1"
mock_client.api_key = "sk-aux"
mock_get_client.return_value = (mock_client, "big-model")
agent._emit_status = lambda msg: None
agent._check_compression_model_feasibility()
assert agent._compression_warning is None
callback_events = []
agent.status_callback = lambda ev, msg: callback_events.append((ev, msg))
agent._replay_compression_warning()
assert len(callback_events) == 0
def test_replay_without_callback_is_noop():
"""_replay_compression_warning doesn't crash when status_callback is None."""
agent = _make_agent()
agent._compression_warning = "some warning"
agent.status_callback = None
# Should not raise
agent._replay_compression_warning()
@patch("agent.model_metadata.get_model_context_length", return_value=80_000)
@patch("agent.auxiliary_client.get_text_auxiliary_client")
def test_run_conversation_clears_warning_after_replay(mock_get_client, mock_ctx_len):
"""After replay in run_conversation, _compression_warning is cleared
so the warning is not sent again on subsequent turns."""
agent = _make_agent(main_context=200_000, threshold_percent=0.50)
mock_client = MagicMock()
mock_client.base_url = "https://openrouter.ai/api/v1"
mock_client.api_key = "sk-aux"
mock_get_client.return_value = (mock_client, "small-model")
agent._emit_status = lambda msg: None
agent._check_compression_model_feasibility()
assert agent._compression_warning is not None
# Simulate what run_conversation does
callback_events = []
agent.status_callback = lambda ev, msg: callback_events.append((ev, msg))
if agent._compression_warning:
agent._replay_compression_warning()
agent._compression_warning = None # as in run_conversation
assert len(callback_events) == 1
# Second turn — nothing replayed
callback_events.clear()
if agent._compression_warning:
agent._replay_compression_warning()
agent._compression_warning = None
assert len(callback_events) == 0