mirror of
https://github.com/BerriAI/litellm.git
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test(e2e): add Locust throughput load test that runs last
Add a tests/e2e/load suite that drives concurrent POST /chat/completions through the live proxy with Locust and asserts an aggregate throughput SLO, filling the gap CodSpeed (no-IO SDK benchmarks) cannot cover. Traffic targets a mock deployment so the number reflects proxy overhead, not provider latency; every knob (users, spawn rate, duration, RPS floor, failure ratio) is env-overridable so the same test runs on berrie-litellm-stage EKS or a local compose stack. Locust runs as a subprocess (it monkey-patches the stdlib with gevent, which deadlocks pytest in-process). The load-marked test is collected last via pytest_collection_modifyitems so it never perturbs latency-sensitive suites. Adds locust to the e2e-dev group and covers reliability.perf.throughput.under_slo. Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
This commit is contained in:
yassin
Devin AI
parent
b0a0f11b09
commit
55e82feb8a
12 changed files with 824 additions and 1 deletions
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@ -189,6 +189,7 @@ dev = [
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e2e-dev = [
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"playwright==1.61.0",
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"websockets>=15.0.1,<16.0",
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"locust==2.45.0",
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]
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proxy-dev = [
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"prisma==0.11.0",
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@ -16,6 +16,7 @@ Each subdirectory under `tests/e2e/` is one suite, scoped to an endpoint family
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- `logging/` - logging-integration delivery (datadog and friends)
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- `security/` - secret handling and log-leak protection
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- `router/` - routing and reliability behavior (fallbacks, cooldowns)
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- `load/` - throughput/performance under concurrency: drives real concurrent traffic through the whole stack with Locust and asserts a throughput SLO. Marked `load` so it is collected last (see the parent conftest) and never perturbs latency-sensitive suites
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- `gateway/` - proxy configuration only (`litellm-config.yml`); no tests
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- `claude_code/` - the Claude Code compatibility matrix: drives the real `claude` CLI (and HTTP probes) against a proxy for each feature x provider cell, reporting tagged-union outcomes via the `compat_result` fixture; ships its own driver/builder/publisher plus `_*_unit_tests/` trees, and does not use the shared transport harness
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@ -38,6 +38,17 @@ def pytest_configure(config: pytest.Config) -> None:
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"markers",
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"covers(cell_id, *, exercised_on=()): coverage-registry cell(s) this test covers",
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)
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config.addinivalue_line(
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"markers",
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"load: heavy throughput/load test; collected last so it never perturbs latency-sensitive suites",
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)
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def pytest_collection_modifyitems(items: list[pytest.Item]) -> None:
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"""Run `load`-marked tests last. A load test saturates the shared proxy, so
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letting it run before a latency- or rate-limit-sensitive suite would skew that
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suite; ordering it last keeps a whole-tree `pytest tests/e2e` run honest."""
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items.sort(key=lambda item: item.get_closest_marker("load") is not None)
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def _liveness_reason(label: str, base_url: str) -> str | None:
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@ -61,6 +61,18 @@ POLL_TIMEOUT = float(os.environ.get("E2E_POLL_TIMEOUT", "120"))
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POLL_INTERVAL = float(os.environ.get("E2E_POLL_INTERVAL", "5"))
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REQUEST_TIMEOUT = float(os.environ.get("E2E_REQUEST_TIMEOUT", "60"))
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# Locust throughput load test (tests/e2e/load). Defaults mirror the concurrency
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# and pass criterion the load test is meant to guard; every knob is overridable
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# so the same test can be pointed at any deployment (a beefy stage cluster wants
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# more users and a higher RPS floor than a laptop compose stack). LOAD_MIN_RPS is
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# the SLO the run must clear and LOAD_MAX_FAILURE_RATIO caps the share of requests
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# allowed to error before the throughput number is considered meaningless.
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LOAD_USERS = int(os.environ.get("E2E_LOAD_USERS", "750"))
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LOAD_SPAWN_RATE = float(os.environ.get("E2E_LOAD_SPAWN_RATE", "50"))
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LOAD_DURATION_SECONDS = float(os.environ.get("E2E_LOAD_DURATION_SECONDS", "60"))
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LOAD_MIN_RPS = float(os.environ.get("E2E_LOAD_MIN_RPS", "355"))
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LOAD_MAX_FAILURE_RATIO = float(os.environ.get("E2E_LOAD_MAX_FAILURE_RATIO", "0.01"))
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def unique_marker() -> str:
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"""A short unique token per call/run, so concurrent runs and the shared
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80
tests/e2e/load/conftest.py
Normal file
80
tests/e2e/load/conftest.py
Normal file
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@ -0,0 +1,80 @@
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"""Load suite's `client` fixture plus the mock deployment it hammers.
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The shared lifecycle (resources/scoped_key), proxy liveness skip, and e2e marker
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live in the parent tests/e2e/conftest.py. LoadClient holds the shared Gateway, so
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the `resources` fixture cleans up keys this suite creates.
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The throughput test drives thousands of requests, so it points them at a mock
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deployment (litellm_params.mock_response) rather than a real provider: the proxy
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short-circuits before any upstream call, so the run measures proxy overhead under
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concurrency instead of a provider's latency, cost, or rate limit. The deployment
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is registered via /model/new when the proxy does not already list it (compose has
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it in static config; stage does not), mirroring the router suite.
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"""
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from __future__ import annotations
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from collections.abc import Iterator
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import pytest
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from requests import RequestException
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from e2e_gateway import Gateway
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from e2e_http import NoBody, Success
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from load_client import LoadClient, build_client
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from models import KeyGenerateBody, LiteLLMParamsBody, ModelsListResponse
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from lifecycle import ResourceManager
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LOAD_MODEL = "load-mock"
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LOAD_MODEL_PARAMS = LiteLLMParamsBody(
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model="openai/load-mock",
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mock_response="This is a mock response for the throughput load test.",
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)
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@pytest.fixture(scope="session")
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def client() -> LoadClient:
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return build_client()
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def _model_is_servable(gateway: Gateway, model_name: str) -> bool:
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result = gateway.transport.get(
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"/v1/models",
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headers=gateway.transport.master,
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params=NoBody(),
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response_type=ModelsListResponse,
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)
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return isinstance(result, Success) and any(entry.id == model_name for entry in result.data.data)
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@pytest.fixture(scope="session", autouse=True)
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def _ensure_load_model( # pyright: ignore[reportUnusedFunction] # pytest autouse session fixture, wired by name
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client: LoadClient,
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) -> Iterator[None]:
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gateway = client.gateway
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if _model_is_servable(gateway, LOAD_MODEL):
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yield
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return
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try:
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model_id = gateway.create_model(LOAD_MODEL, LOAD_MODEL_PARAMS)
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except (AssertionError, RequestException) as exc:
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if _model_is_servable(gateway, LOAD_MODEL):
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yield
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return
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raise AssertionError(
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f"failed to register {LOAD_MODEL!r} for the throughput load test "
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f"(not listed on the data plane and /model/new failed): {exc}"
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) from exc
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try:
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yield
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finally:
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gateway.delete_model(model_id)
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@pytest.fixture
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def load_key(resources: ResourceManager, client: LoadClient) -> str:
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key = client.gateway.generate_key(KeyGenerateBody(models=[LOAD_MODEL], user_id="e2e-load"))
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resources.defer(lambda: client.gateway.delete_key(key))
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return key
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23
tests/e2e/load/load_client.py
Normal file
23
tests/e2e/load/load_client.py
Normal file
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@ -0,0 +1,23 @@
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"""Client for the throughput load test.
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The suite drives raw /chat/completions traffic through Locust (its own HTTP
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client, the one exception to the shared-transport rule, since a load generator
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must measure request throughput itself) and only uses the shared Gateway to
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create the key and the mock deployment it hammers, so this client just carries
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the Gateway the shared lifecycle needs for cleanup.
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"""
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from __future__ import annotations
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from dataclasses import dataclass
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from e2e_gateway import Gateway, build_gateway
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@dataclass(frozen=True, slots=True)
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class LoadClient:
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gateway: Gateway
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def build_client() -> LoadClient:
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return LoadClient(gateway=build_gateway())
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94
tests/e2e/load/locust_load.py
Normal file
94
tests/e2e/load/locust_load.py
Normal file
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@ -0,0 +1,94 @@
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"""Drive a Locust throughput load at the proxy's /chat/completions and hand back
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the aggregate stats a throughput SLO can be asserted on.
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Locust is run as a subprocess rather than embedded: it monkey-patches the stdlib
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with gevent at import, which deadlocks pytest's own machinery if imported in-process,
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so the generator lives in its own interpreter (see locustfile.py) and reports back
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through its `--json` summary on stdout. It is also the one place in tests/e2e that
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does not go through the shared transport - a load generator has to own its HTTP
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client to measure throughput, and FastHttpUser is the client Locust ships for it.
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Traffic is a real POST /chat/completions with a real bearer key against the live
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proxy, so the whole request path (auth, routing, logging, spend) runs under
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production-like concurrency; only the upstream provider is a mock deployment, so
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the number reflects proxy overhead rather than a provider's latency or rate limit.
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"""
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from __future__ import annotations
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import os
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import subprocess
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import sys
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from dataclasses import dataclass
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from pathlib import Path
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from pydantic import BaseModel, TypeAdapter
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_LOCUSTFILE = Path(__file__).with_name("locustfile.py")
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class _LocustStatEntry(BaseModel):
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num_requests: int
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num_failures: int
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start_time: float
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last_request_timestamp: float
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_STATS_ADAPTER: TypeAdapter[list[_LocustStatEntry]] = TypeAdapter(list[_LocustStatEntry])
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@dataclass(frozen=True, slots=True)
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class LoadResult:
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requests: int
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failures: int
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requests_per_second: float
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@property
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def failure_ratio(self) -> float:
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return self.failures / self.requests if self.requests else 1.0
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def _aggregate(entries: list[_LocustStatEntry]) -> LoadResult:
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requests = sum(entry.num_requests for entry in entries)
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failures = sum(entry.num_failures for entry in entries)
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if not entries or requests == 0:
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return LoadResult(requests=requests, failures=failures, requests_per_second=0.0)
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elapsed = max(entry.last_request_timestamp for entry in entries) - min(entry.start_time for entry in entries)
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rps = requests / elapsed if elapsed > 0 else 0.0
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return LoadResult(requests=requests, failures=failures, requests_per_second=rps)
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def run_chat_load(
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*,
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base_url: str,
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api_key: str,
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model: str,
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users: int,
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spawn_rate: float,
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duration_seconds: float,
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) -> LoadResult:
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completed = subprocess.run(
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[
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sys.executable,
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"-m",
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"locust",
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"--headless",
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"--json",
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"--locustfile",
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str(_LOCUSTFILE),
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"--host",
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base_url,
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"--users",
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str(users),
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"--spawn-rate",
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str(spawn_rate),
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"--run-time",
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f"{int(duration_seconds)}s",
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],
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env={**os.environ, "LOAD_API_KEY": api_key, "LOAD_MODEL": model},
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capture_output=True,
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text=True,
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timeout=duration_seconds + 120,
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check=True,
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)
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return _aggregate(_STATS_ADAPTER.validate_json(completed.stdout))
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36
tests/e2e/load/locustfile.py
Normal file
36
tests/e2e/load/locustfile.py
Normal file
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@ -0,0 +1,36 @@
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"""Locust user for the throughput load test, run as a subprocess by locust_load.py.
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Reads the target model and bearer key from the environment (locust_load passes
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LOAD_MODEL and LOAD_API_KEY; --host carries the proxy base URL) and hammers
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/chat/completions with FastHttpUser, the high-throughput client Locust ships. The
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model is a mock deployment, so every request exercises the full proxy path without
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an upstream provider call.
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"""
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from __future__ import annotations
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import os
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from locust import FastHttpUser, constant, task
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_MODEL = os.environ["LOAD_MODEL"]
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_HEADERS = {"Authorization": f"Bearer {os.environ['LOAD_API_KEY']}"}
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_PAYLOAD = {
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"model": _MODEL,
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"messages": [{"role": "user", "content": "load test ping"}],
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"temperature": 0,
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"max_tokens": 16,
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}
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class ChatUser(FastHttpUser):
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wait_time = constant(0)
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@task
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def chat(self) -> None:
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self.client.post( # pyright: ignore[reportUnknownMemberType] # locust FastHttpSession.post types json/**kwargs as Any
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"/chat/completions",
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json=_PAYLOAD,
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headers=_HEADERS,
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name="/chat/completions",
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)
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57
tests/e2e/load/test_chat_completions_throughput_e2e.py
Normal file
57
tests/e2e/load/test_chat_completions_throughput_e2e.py
Normal file
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@ -0,0 +1,57 @@
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"""Live e2e: the proxy sustains its throughput SLO on /chat/completions under
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concurrent load, so a regression that quietly slows the request path (a bad Redis
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SSL config forcing a handshake per request, a dependency bump that adds per-request
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overhead) fails here instead of in a customer's load test.
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CodSpeed benchmarks the SDK with no IO; this fills the gap it cannot see by driving
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real concurrent HTTP through the whole stack (proxy + Postgres + Redis) with Locust.
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Traffic hits a mock deployment (see conftest) so the number reflects proxy overhead,
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not a provider's latency or rate limit. The defaults (users, duration, and the RPS
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floor) come from e2e_config and are overridable per deployment; the assertion is the
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aggregate throughput clearing LOAD_MIN_RPS with the failure share under
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LOAD_MAX_FAILURE_RATIO, since a run that mostly errors makes the RPS meaningless.
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"""
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import pytest
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from e2e_config import (
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LOAD_DURATION_SECONDS,
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LOAD_MAX_FAILURE_RATIO,
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LOAD_MIN_RPS,
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LOAD_SPAWN_RATE,
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LOAD_USERS,
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PROXY_BASE_URL,
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)
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from load_client import LoadClient
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from locust_load import run_chat_load
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pytestmark = [pytest.mark.e2e, pytest.mark.load]
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LOAD_MODEL = "load-mock"
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class TestChatCompletionsThroughput:
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@pytest.mark.covers("reliability.perf.throughput.under_slo")
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def test_sustains_throughput_slo_under_load(self, client: LoadClient, load_key: str) -> None:
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result = run_chat_load(
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base_url=PROXY_BASE_URL,
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api_key=load_key,
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model=LOAD_MODEL,
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users=LOAD_USERS,
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spawn_rate=LOAD_SPAWN_RATE,
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duration_seconds=LOAD_DURATION_SECONDS,
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)
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assert result.requests > 0, (
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f"no requests completed against {PROXY_BASE_URL} in {LOAD_DURATION_SECONDS}s; "
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f"the load generator never drove traffic (proxy unreachable or model unservable)"
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)
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assert result.failure_ratio <= LOAD_MAX_FAILURE_RATIO, (
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f"{result.failures}/{result.requests} requests failed "
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f"({result.failure_ratio:.1%} > {LOAD_MAX_FAILURE_RATIO:.1%} allowed); "
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f"throughput of {result.requests_per_second:.1f} RPS is not a clean read under this error rate"
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)
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assert result.requests_per_second >= LOAD_MIN_RPS, (
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f"sustained {result.requests_per_second:.1f} RPS over {LOAD_DURATION_SECONDS}s with "
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f"{LOAD_USERS} users, below the {LOAD_MIN_RPS} RPS SLO; the proxy request path regressed under load"
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)
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@ -443,6 +443,7 @@ class LiteLLMParamsBody(BaseModel):
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extra_headers: dict[str, str] | None = None
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use_in_pass_through: bool | None = None
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complexity_router_config: dict[str, object] | None = None
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mock_response: str | None = None
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ModelMode = Literal["batch", "realtime", "image_generation"]
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@ -5,3 +5,4 @@
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addopts = --strict-markers --strict-config
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markers =
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e2e: live test that requires a running proxy and real provider keys
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load: heavy throughput/load test; collected last so it never perturbs latency-sensitive suites
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|
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508
uv.lock
generated
508
uv.lock
generated
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@ -10,7 +10,7 @@ resolution-markers = [
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]
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[options]
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exclude-newer = "2026-07-13T21:03:01.672393Z"
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exclude-newer = "2026-07-14T17:14:22.322306301Z"
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exclude-newer-span = "P3D"
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||||
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||||
[manifest]
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||||
|
|
@ -668,6 +668,15 @@ wheels = [
|
|||
{ url = "https://files.pythonhosted.org/packages/1a/39/47f9197bdd44df24d67ac8893641e16f386c984a0619ef2ee4c51fbbc019/beautifulsoup4-4.14.3-py3-none-any.whl", hash = "sha256:0918bfe44902e6ad8d57732ba310582e98da931428d231a5ecb9e7c703a735bb", size = 107721, upload-time = "2025-11-30T15:08:24.087Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "bidict"
|
||||
version = "0.23.1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/9a/6e/026678aa5a830e07cd9498a05d3e7e650a4f56a42f267a53d22bcda1bdc9/bidict-0.23.1.tar.gz", hash = "sha256:03069d763bc387bbd20e7d49914e75fc4132a41937fa3405417e1a5a2d006d71", size = 29093, upload-time = "2024-02-18T19:09:05.748Z" }
|
||||
wheels = [
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{ url = "https://files.pythonhosted.org/packages/f3/55/de0c3459ff717fce3342f9a29464c281fdeb0d36c3171ee88d119d5f0650/zope_interface-8.5-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:8bd75c96966e573232f0599deaff717564828031c7f05563ccc1ac35c5ee0304", size = 213733, upload-time = "2026-05-26T06:50:05.101Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/c2/95/d97430abd5ae9677e8b9295b58720c0064a5b557dbb6b8bf5928484cf0d8/zope_interface-8.5-cp314-cp314t-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:14b0e9799351d4c34fe99afd67f0cdd76e55ba15c66a98699d5fc22ea8241e08", size = 294905, upload-time = "2026-05-26T06:50:07.384Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/41/ec/a0f8f3dad6e74992f4654bdd94802be0929eabca7b871cac3b6fbb5e961b/zope_interface-8.5-cp314-cp314t-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:0cd6a732ac84b94eb1ef9222a117347a27efd294ee16810ffdf7ecd307677ed5", size = 300885, upload-time = "2026-05-26T06:50:08.997Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/0f/da/6881b48803a0ee8d23eb5efa30fce3ed218a2bd9de5758ce489d224fee81/zope_interface-8.5-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:798b7c87d0e59a7d5d086d642208d0d8700ff0d55c4029134b3c479c3bfb110f", size = 304672, upload-time = "2026-05-26T06:50:10.563Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/2e/0e/b4c01320859ff1d585438bc231fd60bd258d096359bccf6654fecdf0cffb/zope_interface-8.5-cp314-cp314t-win_amd64.whl", hash = "sha256:0fc3a9d45f114d27eaa1e53beeb144533689edca8a9f66505b1e8e8b3f075e42", size = 217241, upload-time = "2026-05-26T06:50:12.171Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "zstandard"
|
||||
version = "0.25.0"
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue