litellm/tests/e2e/perf/setup/provision.py
Kerry Lu fbd078bcbe
test(e2e): perf rig (out-of-process mocks, PerformanceTestCase runner, per-request limits) and the small_bodies_5rps case (#46713)
* test(e2e): out-of-process mock OpenAI, Anthropic, Bedrock and guardrail servers for the perf cases

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(e2e): coding-agent request corpus and real provider captures for the perf mocks

Request bodies come from a deterministic coding-agent session (system prompt, Read/Edit/Write/Bash/Grep/Glob tools, tool_use and tool_result turns carrying real source files picked by the request marker) in OpenAI chat, Responses and Anthropic formats. captures/ holds one real response per provider, route, shape and stream mode (gpt-6-luna, claude-sonnet-5, us.anthropic.claude-sonnet-5), cold prompt cache, body only, raw stream chunks with time offsets

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(e2e): replay module for the perf mocks, captured provider responses picked by route, mode and request size

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(e2e): perf mocks replay the captured provider responses, knobs shrink to flake and speed

The OpenAI, Anthropic and Bedrock mocks answer with the captured body or stream chunks for their route, mode and nearest request size, ids swapped per request, on the captured clock scaled by the p knob. The synthetic reply builders, the per-token stream pacing and the hand-rolled Bedrock event-stream encoder are gone

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(e2e): perf mock request log names its provider

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(e2e): perf guardrail mock remembers the request marker by call id for the response hook

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(e2e): perf mock captures retaken cold, one marker and system-prompt prefix per cell

Run 2 shared one marker across cells, so every stream capture was served from the provider's prompt cache (cache_read_input_tokens up to 523946) and the json cells had small prefix hits. Every cell now carries its own marker, also prepended to the system prompt, and all 30 captures report zero cached tokens

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(e2e): perf corpus reads tests/e2e files so the lane's runner image has them

* test(e2e): perf long_context json captures for Claude retaken with a 16k output cap, no longer cut mid-thinking

* test(e2e): perf mocks keep only what the replay path and the test read

* test(e2e): perf mocks interpolate the provider's time to first byte from the captures around the request size

* test(e2e): perf captures at 100k (short) and 500k (long) tokens with tools, the fixed-size set removed

* test(e2e): PerformanceTestCase schema, deterministic request plan and wire records for the perf cases

RequestShape names a corpus session (input_tokens, tools, output_tokens) and wire.request_body builds it with setup/corpus/session.py, so a 300k request is 85 file reads of real source in the endpoint's own format. The plan no longer predicts reply text, the mocks replay captured provider responses and the runner joins what the client saw against the mock's log by marker

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(e2e): perf Metric gains time_to_first_token_seconds

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(e2e): perf User loses the unused role field, every JWT user is an internal_user

* test(e2e): perf RequestShape sizes requests from an input-token range, short and long stock shapes

* test(e2e): perf case runner (provision, Locust plan replay, observe) and the 50 rps mixed-provider case

provision.py checks the deployed config against the case and builds the callers, run.py replays the plan from a separate Locust process (locustfile.py) recording status, header, first-byte, first-token and total time per request, observe.py joins the records with what the mocks received and the workers' RSS to score every Limit, and compares each served body with the capture the mock replayed for it as a diagnostic. The case sends 15,000 requests at 50 rps over three model groups, two guardrails and the three request shapes

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(e2e): perf case asserts time_to_first_token_seconds at percentile 50 and 99

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(e2e): perf provision creates every JWT user as internal_user

* test(e2e): perf observe reads only the mock log fields that remain

* test(e2e): 50 rps case sends short and long coding-agent sessions sized per request

* test(e2e): perf run keeps the per-request records as perf-records.jsonl under E2E_ARTIFACT_DIR

* test(e2e): the mixed small-gateway case runs at 25 rps (50 saturated one 4-worker pod on main and on v1.105.1)

* test(e2e): small_bodies_high_rate perf case, the github issue 46276 shape (11 to 17 KB chat bodies, keys only, 200 rps)

* test(e2e): the mixed small-gateway case runs at 10 rps for 6,000 requests (25 rps still saturated one pod on v1.105.1)

* ci: python lint job gets 20 minutes, the e2e harness phase (625 tests plus the replay harness suite) pushes a run past 15 when tests/e2e changes

* test(e2e): small-bodies perf case runs at 5 rps so gateway_added_seconds is per-request overhead, not queue wait

* test(e2e): mixed-provider perf case runs at 5 rps x 3,000 requests from 100 users

* test(e2e): mixed-provider perf case sends happy-path traffic only (no flaky deployment, no guardrail interventions or blocks)

* test(e2e): perf gateway model_list is three happy-path deployments, one per provider

* test(e2e): Postgres and Redis work per request as perf case limits

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(e2e): perf mocks wait a case-level latency with jitter instead of replaying captured timings, cpu_seconds_per_request limit from metrics-server

* test(e2e): perf suite PR carries the small_bodies_5rps case only, the mixed-provider case moves to its own PR

* test(e2e): small_bodies_5rps limits from the ten v1.105.1 baselines (1.5x on datastore counts, 2x on latency and cpu, absolute on errors and memory)

* test(e2e): perf mocks keep only the short captures the small case reads, captured timings and the Bedrock invoke route removed

* test(e2e): perf mocks generate each reply from the request (provider schema, usage, ids, event order, chunk sizes) instead of replaying captures

---------

Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-10-15 20:14:40 +00:00

190 lines
7.1 KiB
Python

"""Builds the caller side of a `PerformanceTestCase` on the gateway: the teams, the Keycloak users
(JWT callers) and the virtual keys, each suffixed with the run marker and deferred to the
`ResourceManager`, so two runs never collide and a failed run still tears down. Model groups and
guardrails are not created here: they are written out in the gateway's config (the helm values in
the lane, `gateway/perf_ci_config.yml` locally), and setup only checks the deployed gateway has what
the case names."""
from __future__ import annotations
import os
from dataclasses import dataclass
from typing import Final
from e2e_config import unique_marker
from e2e_http import NoBody, unwrap
from idp import TESTS_CLIENT_ID, Keycloak
from lifecycle import ResourceManager
from models import KeyGenerateBody, TeamNewBody, UserNewBody, UserNewResponse
from proxy_client import ProxyClient
from pydantic import BaseModel, ConfigDict
from setup.performance_test_case import MockProvider, PerformanceTestCase
from setup.plan import Caller
from setup.wire import TokenSource
MOCK_PROVIDERS: Final[tuple[MockProvider, ...]] = ("openai", "anthropic", "bedrock")
MOCK_URL_ENV: Final[dict[MockProvider, str]] = {
"openai": "E2E_PERF_MOCK_OPENAI_URL",
"anthropic": "E2E_PERF_MOCK_ANTHROPIC_URL",
"bedrock": "E2E_PERF_MOCK_BEDROCK_URL",
}
MOCK_URL_DEFAULT: Final[dict[MockProvider, str]] = {
"openai": "http://127.0.0.1:8090/v1",
"anthropic": "http://127.0.0.1:8091",
"bedrock": "http://127.0.0.1:8092",
}
GUARDRAIL_URL_ENV: Final = "E2E_PERF_MOCK_GUARDRAIL_URL"
GUARDRAIL_URL_DEFAULT: Final = "http://127.0.0.1:8093"
def mock_url(provider: MockProvider) -> str:
"""The mock's root, where its control routes live. The same variable feeds the gateway's
`api_base`, which for OpenAI ends in `/v1`, so that suffix is dropped here."""
url: Final = os.environ.get(MOCK_URL_ENV[provider], MOCK_URL_DEFAULT[provider]).rstrip("/")
return url.removesuffix("/v1")
def guardrail_url() -> str:
return os.environ.get(GUARDRAIL_URL_ENV, GUARDRAIL_URL_DEFAULT).rstrip("/")
class PerfTeamNewBody(TeamNewBody):
"""`/team/new` with the per-team settings a `Team` carries."""
max_budget: float | None = None
rpm_limit: int | None = None
tpm_limit: int | None = None
class ListedGuardrailParams(BaseModel):
model_config = ConfigDict(frozen=True)
mode: str | list[str]
class ListedGuardrail(BaseModel):
model_config = ConfigDict(frozen=True)
guardrail_name: str
litellm_params: ListedGuardrailParams
class GuardrailList(BaseModel):
model_config = ConfigDict(frozen=True)
guardrails: list[ListedGuardrail]
@dataclass(frozen=True, slots=True)
class CaseSetup:
marker: str
team_ids: dict[str, str]
key_bearers: dict[str, str]
token_sources: dict[str, TokenSource]
user_ids: dict[str, str]
def authorization(self, caller: Caller) -> str | None:
return f"Bearer {self.key_bearers[caller.name]}" if caller.kind == "key" else None
def token_source(self, caller: Caller) -> TokenSource | None:
return self.token_sources[caller.name] if caller.kind == "jwt" else None
def check_deployed(proxy: ProxyClient, case: PerformanceTestCase) -> None:
"""The gateway was deployed with every model group and guardrail the case names, with the
guardrail on the hook the case expects. A mismatch is a config drift, not a perf result."""
deployed: Final = sorted({entry.model_name for entry in proxy.model_info()})
missing: Final = [group for group in case.model_groups if group not in deployed]
assert not missing, f"{case.name}: model groups {missing} are not in the gateway config (deployed: {deployed})"
if not case.guardrails:
return
listed: Final = unwrap(
proxy.transport.get(
"/guardrails/list", headers=proxy.transport.master, params=NoBody(), response_type=GuardrailList
)
).guardrails
modes: Final = {guardrail.guardrail_name: guardrail.litellm_params.mode for guardrail in listed}
for guardrail in case.guardrails:
mode = modes.get(guardrail.name)
hooks = mode if isinstance(mode, list) else [mode]
assert guardrail.mode in hooks, (
f"{case.name}: guardrail {guardrail.name} should be on {guardrail.mode}, gateway has {modes}"
)
def build_setup(
case: PerformanceTestCase, *, proxy: ProxyClient, idp: Keycloak, resources: ResourceManager
) -> CaseSetup:
check_deployed(proxy, case)
marker: Final = unique_marker()
team_ids: dict[str, str] = {}
keycloak_groups: dict[str, str] = {}
for team in case.teams:
team_id = f"perf-{team.name}-{marker}"
team_ids[team.name] = proxy.create_team(
PerfTeamNewBody(
team_alias=team_id,
team_id=team_id,
models=list(team.models),
max_budget=team.max_budget,
rpm_limit=team.rpm_limit,
tpm_limit=team.tpm_limit,
)
)
resources.defer(lambda team_id=team_id: proxy.delete_team(team_id))
group_id = idp.create_group(team_id)
keycloak_groups[team_id] = group_id
resources.defer(lambda group_id=group_id: idp.delete_group(group_id))
user_ids: dict[str, str] = {}
token_sources: dict[str, TokenSource] = {}
for user in case.users:
groups = (team_ids[user.team],) if user.team else ()
identity = idp.provision_user(
marker=f"{marker}-{user.name}",
groups=groups,
group_ids=tuple(keycloak_groups[group] for group in groups),
defer=resources.defer,
)
user_ids[user.name] = identity.user_id
token_sources[user.name] = TokenSource(
token_url=idp.token_url(idp.realm),
client_id=TESTS_CLIENT_ID,
username=identity.username,
password=identity.password,
)
created = unwrap(
proxy.transport.post(
"/user/new",
headers=proxy.transport.master,
json=UserNewBody(
user_email=f"{identity.username}@example.com",
user_role="internal_user",
user_id=identity.user_id,
auto_create_key=False,
max_budget=user.max_budget,
),
response_type=UserNewResponse,
)
)
resources.defer(lambda user_id=created.user_id: proxy.delete_user(user_id))
key_bearers: dict[str, str] = {}
for key in case.virtual_keys:
generated = proxy.generate_key(
KeyGenerateBody(
models=list(key.models),
team_id=team_ids[key.team] if key.team else None,
user_id=user_ids[key.user] if key.user else None,
rpm_limit=key.rpm_limit,
max_budget=key.max_budget,
key_alias=f"perf-{key.name}-{marker}",
)
)
resources.defer(lambda generated=generated: proxy.delete_key(generated))
key_bearers[key.name] = generated
return CaseSetup(
marker=marker, team_ids=team_ids, key_bearers=key_bearers, token_sources=token_sources, user_ids=user_ids
)