mirror of
https://github.com/BerriAI/litellm.git
synced 2026-11-06 07:48:06 +00:00
232 lines
8.7 KiB
Python
232 lines
8.7 KiB
Python
import json
|
|
import os
|
|
import socket
|
|
from collections.abc import Callable, Iterator, Mapping
|
|
from dataclasses import asdict
|
|
from pathlib import Path
|
|
|
|
import pytest
|
|
from fastapi import FastAPI
|
|
from fastapi.testclient import TestClient
|
|
|
|
from litellm.proxy import proxy_server
|
|
from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth
|
|
from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
|
|
from litellm.proxy.bug_report_config import build_proxy_bug_report
|
|
from litellm.proxy.common_utils.debug_utils import (
|
|
PSUTIL_MISSING_ERROR,
|
|
_ProcFilesystemProcess,
|
|
_summary_process_memory,
|
|
get_memory_summary,
|
|
)
|
|
from litellm.proxy.common_utils.debug_utils import router as debug_router
|
|
from litellm.router import Router
|
|
from litellm.router_utils.prompt_caching_cache import PromptCachingCache
|
|
|
|
PAGE_SIZE = 4096
|
|
STATM_SIZE_PAGES = 100_000
|
|
STATM_RESIDENT_PAGES = 30_000
|
|
MEMINFO_TOTAL_KB = 1_000_000
|
|
|
|
|
|
@pytest.fixture
|
|
def proc_process(tmp_path: Path) -> _ProcFilesystemProcess:
|
|
statm = tmp_path / "statm"
|
|
statm.write_text(f"{STATM_SIZE_PAGES} {STATM_RESIDENT_PAGES} 5000 1 0 20000 0\n")
|
|
meminfo = tmp_path / "meminfo"
|
|
meminfo.write_text(
|
|
f"MemTotal: {MEMINFO_TOTAL_KB} kB\nMemFree: 400000 kB\nMemAvailable: 600000 kB\n"
|
|
)
|
|
return _ProcFilesystemProcess(statm_path=str(statm), meminfo_path=str(meminfo), page_size=PAGE_SIZE)
|
|
|
|
|
|
def test_proc_filesystem_process_reads_resident_and_virtual_bytes_from_statm(
|
|
proc_process: _ProcFilesystemProcess,
|
|
) -> None:
|
|
memory_info = proc_process.memory_info()
|
|
|
|
assert memory_info.rss == STATM_RESIDENT_PAGES * PAGE_SIZE
|
|
assert memory_info.vms == STATM_SIZE_PAGES * PAGE_SIZE
|
|
|
|
|
|
def test_proc_filesystem_process_reports_share_of_meminfo_total(proc_process: _ProcFilesystemProcess) -> None:
|
|
expected_percent = STATM_RESIDENT_PAGES * PAGE_SIZE / (MEMINFO_TOTAL_KB * 1024) * 100
|
|
|
|
assert proc_process.memory_percent() == pytest.approx(expected_percent)
|
|
|
|
|
|
def test_summary_reports_rss_from_the_proc_filesystem(proc_process: _ProcFilesystemProcess) -> None:
|
|
memory, health_status = _summary_process_memory(proc_process)
|
|
|
|
assert memory["ram_usage_mb"] == round(STATM_RESIDENT_PAGES * PAGE_SIZE / (1024 * 1024), 2)
|
|
assert memory["system_memory_percent"] == pytest.approx(12.0)
|
|
assert health_status == "healthy"
|
|
assert "error" not in memory
|
|
|
|
|
|
def test_summary_without_any_memory_source_names_psutil_and_reports_no_rss() -> None:
|
|
memory, health_status = _summary_process_memory(None)
|
|
|
|
assert memory == {"error": PSUTIL_MISSING_ERROR}
|
|
assert health_status == "healthy"
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_memory_summary_names_the_host_and_worker_that_answered() -> None:
|
|
summary = await get_memory_summary(UserAPIKeyAuth())
|
|
|
|
assert summary["hostname"] == socket.gethostname()
|
|
assert summary["worker_pid"] == os.getpid()
|
|
assert summary["memory"]["ram_usage_mb"] > 0
|
|
|
|
|
|
HOSTILE_CONFIG: Mapping[str, object] = {
|
|
"model_list": [
|
|
{
|
|
"model_name": "acme-prod-gpt4",
|
|
"litellm_params": {
|
|
"model": "azure/acme-gpt4o-deployment",
|
|
"api_base": "https://acme-eastus.openai.azure.com",
|
|
"api_key": "sk-live-secret-1",
|
|
},
|
|
}
|
|
],
|
|
"litellm_settings": {"drop_params": True, "callbacks": ["langfuse", "acme_hooks.audit_logger"]},
|
|
}
|
|
|
|
HOSTILE_GENERAL_SETTINGS: Mapping[str, object] = {
|
|
"master_key": "sk-live-secret-master",
|
|
"database_url": "postgres://user:hunter2@10.0.0.7/litellm",
|
|
"store_model_in_db": True,
|
|
}
|
|
|
|
HOSTILE_STRINGS = ("acme", "sk-live-secret", "hunter2", "10.0.0.7", "azure.com")
|
|
|
|
|
|
@pytest.fixture
|
|
def hostile_proxy_config(monkeypatch: pytest.MonkeyPatch) -> Iterator[None]:
|
|
previous_config = proxy_server.proxy_config.get_config_state()
|
|
proxy_server.proxy_config.update_config_state(config=HOSTILE_CONFIG)
|
|
monkeypatch.setattr(proxy_server, "general_settings", dict(HOSTILE_GENERAL_SETTINGS))
|
|
yield
|
|
proxy_server.proxy_config.update_config_state(config=previous_config)
|
|
|
|
|
|
def _debug_client(caller: UserAPIKeyAuth) -> TestClient:
|
|
app = FastAPI()
|
|
app.include_router(debug_router)
|
|
app.dependency_overrides[user_api_key_auth] = lambda: caller
|
|
return TestClient(app)
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
"caller",
|
|
[
|
|
UserAPIKeyAuth(),
|
|
UserAPIKeyAuth(user_role=LitellmUserRoles.INTERNAL_USER),
|
|
UserAPIKeyAuth(user_role=LitellmUserRoles.PROXY_ADMIN_VIEW_ONLY),
|
|
],
|
|
)
|
|
@pytest.mark.usefixtures("hostile_proxy_config")
|
|
def test_debug_report_refuses_everyone_but_proxy_admins(caller: UserAPIKeyAuth) -> None:
|
|
response = _debug_client(caller).get("/debug/report")
|
|
|
|
assert response.status_code == 403, response.text
|
|
assert "litellm_version" not in response.text
|
|
|
|
|
|
@pytest.mark.usefixtures("hostile_proxy_config")
|
|
def test_debug_report_returns_what_the_bug_report_link_carries_and_nothing_from_the_operator() -> None:
|
|
response = _debug_client(UserAPIKeyAuth(user_role=LitellmUserRoles.PROXY_ADMIN)).get("/debug/report")
|
|
|
|
assert response.status_code == 200, response.text
|
|
assert response.json() == json.loads(json.dumps(asdict(build_proxy_bug_report(RuntimeError("boom")).environment)))
|
|
assert response.json()["config_lines"] == [
|
|
"general_settings.store_model_in_db = true",
|
|
"litellm_settings.drop_params = true",
|
|
"litellm_settings.callbacks = [langfuse]",
|
|
"model_list[*].provider = [azure]",
|
|
]
|
|
assert not any(hostile in response.text for hostile in HOSTILE_STRINGS), response.text
|
|
|
|
|
|
PINNED_PREFIXES = 3
|
|
|
|
|
|
@pytest.fixture
|
|
def router_with_pins(monkeypatch: pytest.MonkeyPatch) -> None:
|
|
router = Router(model_list=[{"model_name": "claude", "litellm_params": {"model": "anthropic/claude-sonnet-4-5"}}])
|
|
pins = PromptCachingCache(cache=router.prompt_caching_pin_cache)
|
|
for prefix in range(PINNED_PREFIXES):
|
|
pins.add_model_id(
|
|
model_id=f"deployment-{prefix}",
|
|
messages=[
|
|
{
|
|
"role": "user",
|
|
"content": [
|
|
{"type": "text", "text": f"prefix {prefix} " * 300, "cache_control": {"type": "ephemeral"}}
|
|
],
|
|
}
|
|
],
|
|
tools=None,
|
|
)
|
|
monkeypatch.setattr(proxy_server, "llm_router", router)
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
("path", "pin_count", "expected"),
|
|
[
|
|
(
|
|
"/memory-usage-in-mem-cache",
|
|
lambda body: body["num_items_in_prompt_caching_pin_cache"],
|
|
2 * PINNED_PREFIXES,
|
|
),
|
|
("/memory-usage-in-mem-cache-items", lambda body: len(body["prompt_caching_pin_cache"]), PINNED_PREFIXES),
|
|
("/debug/memory/summary", lambda body: body["caches"]["breakdown"]["prompt_caching_pins"]["count"], PINNED_PREFIXES),
|
|
(
|
|
"/debug/memory/details?include_process_info=false",
|
|
lambda body: body["cache_memory"]["prompt_caching_pin_cache"]["num_items"],
|
|
PINNED_PREFIXES,
|
|
),
|
|
],
|
|
)
|
|
@pytest.mark.usefixtures("router_with_pins")
|
|
def test_memory_routes_count_prompt_caching_pins(
|
|
path: str, pin_count: Callable[[dict[str, object]], int], expected: int
|
|
) -> None:
|
|
response = _debug_client(UserAPIKeyAuth(user_role=LitellmUserRoles.PROXY_ADMIN)).get(path)
|
|
|
|
assert response.status_code == 200
|
|
assert pin_count(response.json()) == expected
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_otel_span_debug_privacy_preserves_api_result(
|
|
monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture[str]
|
|
) -> None:
|
|
from typing import Final
|
|
|
|
import litellm
|
|
from opentelemetry.sdk.trace import TracerProvider
|
|
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
|
|
from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
|
|
|
|
from litellm.integrations.opentelemetry import OpenTelemetry, OpenTelemetryConfig
|
|
from litellm.proxy.common_utils.debug_utils import get_otel_spans
|
|
|
|
monkeypatch.setattr(litellm, "redact_messages_in_debug_logs", True)
|
|
exporter: Final = InMemorySpanExporter()
|
|
provider: Final = TracerProvider()
|
|
provider.add_span_processor(SimpleSpanProcessor(exporter))
|
|
logger: Final = OpenTelemetry(config=OpenTelemetryConfig(exporter=exporter), tracer_provider=provider)
|
|
monkeypatch.setattr(proxy_server, "open_telemetry_logger", logger)
|
|
try:
|
|
with provider.get_tracer("privacy-test").start_as_current_span("PRIVATE_SPAN_42896") as span:
|
|
span.set_attribute("gen_ai.input.messages", "PRIVATE_MESSAGE_42896")
|
|
result: Final = await get_otel_spans()
|
|
output: Final = capsys.readouterr().out
|
|
assert result["otel_spans"] == ["PRIVATE_SPAN_42896"]
|
|
assert "redacted-by-litellm" in output
|
|
assert "PRIVATE" not in output
|
|
finally:
|
|
provider.shutdown()
|