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f1e7b62 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 | """Tests for Agno hooks integration.
Tests cover:
1. HeadroomPreHook - Pre-hook for tracking before LLM calls
2. HeadroomPostHook - Post-hook for tracking after LLM calls
3. create_headroom_hooks - Convenience function
"""
from datetime import datetime
from unittest.mock import MagicMock
import pytest
# Check if Agno is available
try:
import agno # noqa: F401
AGNO_AVAILABLE = True
except ImportError:
AGNO_AVAILABLE = False
from headroom import HeadroomConfig, HeadroomMode
# Skip all tests if Agno not installed
pytestmark = pytest.mark.skipif(not AGNO_AVAILABLE, reason="Agno not installed")
class TestHeadroomPreHook:
"""Tests for HeadroomPreHook."""
def test_init_defaults(self):
"""Initialize with default settings."""
from headroom.integrations.agno import HeadroomPreHook
hook = HeadroomPreHook()
assert hook.mode == HeadroomMode.OPTIMIZE
assert hook.model == "gpt-4o"
assert hook.total_tokens_saved == 0
assert hook.metrics_history == []
def test_init_with_custom_config(self):
"""Initialize with custom config."""
from headroom.integrations.agno import HeadroomPreHook
config = HeadroomConfig(default_mode=HeadroomMode.AUDIT)
hook = HeadroomPreHook(
config=config,
mode=HeadroomMode.SIMULATE,
model="claude-3-5-sonnet-20241022",
)
assert hook.config is config
assert hook.mode == HeadroomMode.SIMULATE
assert hook.model == "claude-3-5-sonnet-20241022"
def test_call_returns_input_unchanged(self):
"""Hook returns input unchanged (optimization at model level)."""
from headroom.integrations.agno import HeadroomPreHook
hook = HeadroomPreHook()
run_input = "Hello, how are you?"
result = hook(run_input)
assert result == run_input
def test_call_tracks_metrics(self):
"""Hook tracks metrics on each call."""
from headroom.integrations.agno import HeadroomPreHook
hook = HeadroomPreHook()
hook("First input")
hook("Second input")
assert len(hook.metrics_history) == 2
assert all(m.request_id for m in hook.metrics_history)
assert all(isinstance(m.timestamp, datetime) for m in hook.metrics_history)
def test_metrics_history_limited(self):
"""Metrics history is limited to 100 entries."""
from headroom.integrations.agno import HeadroomPreHook
hook = HeadroomPreHook()
# Call 150 times
for i in range(150):
hook(f"Input {i}")
assert len(hook.metrics_history) == 100
def test_get_savings_summary_empty(self):
"""get_savings_summary with no history."""
from headroom.integrations.agno import HeadroomPreHook
hook = HeadroomPreHook()
summary = hook.get_savings_summary()
assert summary["total_requests"] == 0
assert summary["total_tokens_saved"] == 0
assert summary["average_savings_percent"] == 0
def test_get_savings_summary_with_data(self):
"""get_savings_summary with metrics."""
from headroom.integrations.agno import HeadroomPreHook
hook = HeadroomPreHook()
# Make some calls
hook("Input 1")
hook("Input 2")
summary = hook.get_savings_summary()
assert summary["total_requests"] == 2
# Pre-hook doesn't do actual optimization, so tokens_saved is 0
assert summary["total_tokens_saved"] == 0
class TestHeadroomPostHook:
"""Tests for HeadroomPostHook."""
def test_init_defaults(self):
"""Initialize with default settings."""
from headroom.integrations.agno import HeadroomPostHook
hook = HeadroomPostHook()
assert hook.log_level == "INFO"
assert hook.token_alert_threshold is None
assert hook.total_requests == 0
assert hook.alerts == []
def test_init_with_threshold(self):
"""Initialize with alert threshold."""
from headroom.integrations.agno import HeadroomPostHook
hook = HeadroomPostHook(
log_level="DEBUG",
token_alert_threshold=10000,
)
assert hook.log_level == "DEBUG"
assert hook.token_alert_threshold == 10000
def test_call_returns_output_unchanged(self):
"""Hook returns output unchanged."""
from headroom.integrations.agno import HeadroomPostHook
hook = HeadroomPostHook()
output = MagicMock()
output.content = "Hello!"
result = hook(output)
assert result is output
def test_call_tracks_requests(self):
"""Hook tracks requests on each call."""
from headroom.integrations.agno import HeadroomPostHook
hook = HeadroomPostHook()
output1 = MagicMock()
output1.content = "First response"
output2 = MagicMock()
output2.content = "Second response"
hook(output1)
hook(output2)
assert hook.total_requests == 2
def test_call_extracts_token_metrics(self):
"""Hook extracts token metrics from response."""
from headroom.integrations.agno import HeadroomPostHook
hook = HeadroomPostHook()
output = MagicMock()
output.content = "Response"
output.metrics = MagicMock()
output.metrics.input_tokens = 50
output.metrics.output_tokens = 20
output.metrics.total_tokens = 70
hook(output)
assert hook._requests[0]["input_tokens"] == 50
assert hook._requests[0]["output_tokens"] == 20
assert hook._requests[0]["total_tokens"] == 70
def test_call_triggers_alert(self):
"""Hook triggers alert when threshold exceeded."""
from headroom.integrations.agno import HeadroomPostHook
hook = HeadroomPostHook(token_alert_threshold=50)
output = MagicMock()
output.content = "Response"
output.metrics = MagicMock()
output.metrics.total_tokens = 100 # Exceeds threshold
hook(output)
assert len(hook.alerts) == 1
assert "Token alert" in hook.alerts[0]
assert "100" in hook.alerts[0]
def test_call_no_alert_below_threshold(self):
"""No alert when tokens below threshold."""
from headroom.integrations.agno import HeadroomPostHook
hook = HeadroomPostHook(token_alert_threshold=100)
output = MagicMock()
output.content = "Response"
output.metrics = MagicMock()
output.metrics.total_tokens = 50 # Below threshold
hook(output)
assert len(hook.alerts) == 0
def test_requests_limited(self):
"""Request history is limited to 1000 entries."""
from headroom.integrations.agno import HeadroomPostHook
hook = HeadroomPostHook()
# Call 1500 times
for i in range(1500):
output = MagicMock()
output.content = f"Response {i}"
hook(output)
assert len(hook._requests) == 1000
def test_get_summary_empty(self):
"""get_summary with no requests."""
from headroom.integrations.agno import HeadroomPostHook
hook = HeadroomPostHook()
summary = hook.get_summary()
assert summary["total_requests"] == 0
assert summary["total_tokens"] == 0
assert summary["alerts"] == 0
def test_get_summary_with_data(self):
"""get_summary with requests."""
from headroom.integrations.agno import HeadroomPostHook
hook = HeadroomPostHook()
# Add some requests directly
hook._requests = [
{"total_tokens": 100},
{"total_tokens": 200},
{"total_tokens": 50},
]
summary = hook.get_summary()
assert summary["total_requests"] == 3
assert summary["total_tokens"] == 350
assert summary["average_tokens"] == 350 / 3
def test_reset(self):
"""reset() clears all state."""
from headroom.integrations.agno import HeadroomPostHook
hook = HeadroomPostHook()
# Add some state
hook._requests = [{"test": 1}]
hook._alerts = ["alert"]
hook.reset()
assert hook._requests == []
assert hook._alerts == []
class TestCreateHeadroomHooks:
"""Tests for create_headroom_hooks convenience function."""
def test_returns_tuple(self):
"""Returns tuple of (pre_hook, post_hook)."""
from headroom.integrations.agno import (
HeadroomPostHook,
HeadroomPreHook,
create_headroom_hooks,
)
pre_hook, post_hook = create_headroom_hooks()
assert isinstance(pre_hook, HeadroomPreHook)
assert isinstance(post_hook, HeadroomPostHook)
def test_passes_config_to_pre_hook(self):
"""Passes config to pre_hook."""
from headroom.integrations.agno import create_headroom_hooks
config = HeadroomConfig(default_mode=HeadroomMode.AUDIT)
pre_hook, _ = create_headroom_hooks(config=config)
assert pre_hook.config is config
def test_passes_mode_to_pre_hook(self):
"""Passes mode to pre_hook."""
from headroom.integrations.agno import create_headroom_hooks
pre_hook, _ = create_headroom_hooks(mode=HeadroomMode.SIMULATE)
assert pre_hook.mode == HeadroomMode.SIMULATE
def test_passes_model_to_pre_hook(self):
"""Passes model to pre_hook."""
from headroom.integrations.agno import create_headroom_hooks
pre_hook, _ = create_headroom_hooks(model="claude-3-5-sonnet-20241022")
assert pre_hook.model == "claude-3-5-sonnet-20241022"
def test_passes_log_level_to_post_hook(self):
"""Passes log_level to post_hook."""
from headroom.integrations.agno import create_headroom_hooks
_, post_hook = create_headroom_hooks(log_level="DEBUG")
assert post_hook.log_level == "DEBUG"
def test_passes_threshold_to_post_hook(self):
"""Passes token_alert_threshold to post_hook."""
from headroom.integrations.agno import create_headroom_hooks
_, post_hook = create_headroom_hooks(token_alert_threshold=5000)
assert post_hook.token_alert_threshold == 5000
def test_all_parameters(self):
"""Test with all parameters."""
from headroom.integrations.agno import create_headroom_hooks
config = HeadroomConfig()
pre_hook, post_hook = create_headroom_hooks(
config=config,
mode=HeadroomMode.AUDIT,
model="gpt-4-turbo",
log_level="WARNING",
token_alert_threshold=8000,
)
assert pre_hook.config is config
assert pre_hook.mode == HeadroomMode.AUDIT
assert pre_hook.model == "gpt-4-turbo"
assert post_hook.log_level == "WARNING"
assert post_hook.token_alert_threshold == 8000
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