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17 changed files with 1523 additions and 4 deletions

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@ -8,6 +8,8 @@ on:
paths:
- "litellm/**"
- "tests/benchmarks/**"
- "tests/rust-python-harness/**"
- "litellm-rust/**"
- "pyproject.toml"
- "uv.lock"
- ".github/workflows/codspeed.yml"
@ -20,6 +22,8 @@ on:
paths:
- "litellm/**"
- "tests/benchmarks/**"
- "tests/rust-python-harness/**"
- "litellm-rust/**"
- "pyproject.toml"
- "uv.lock"
- ".github/workflows/codspeed.yml"
@ -31,7 +35,6 @@ on:
permissions:
contents: read
id-token: write
concurrency:
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
@ -39,6 +42,9 @@ concurrency:
jobs:
benchmarks:
permissions:
contents: read
id-token: write
runs-on: ubuntu-24.04
timeout-minutes: 60
@ -92,3 +98,69 @@ jobs:
-p pytest_codspeed.plugin
tests/benchmarks/
--codspeed
e2e-walltime:
permissions:
contents: read
id-token: write
runs-on: codspeed-macro
timeout-minutes: 30
steps:
- uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4.3.0
with:
persist-credentials: false
- uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0
with:
python-version: "3.12"
- uses: ./.github/actions/setup-uv-with-retries
with:
version: "0.10.9"
- uses: actions/cache@0057852bfaa89a56745cba8c7296529d2fc39830 # v4.3.0
with:
path: |
~/.cargo/registry
~/.cargo/git
litellm-rust/target
key: ${{ runner.os }}-${{ runner.arch }}-e2e-release-${{ hashFiles('litellm-rust/Cargo.lock') }}
restore-keys: |
${{ runner.os }}-${{ runner.arch }}-e2e-release-
- name: Build environment
run: >-
env PYTEST_DISABLE_PLUGIN_AUTOLOAD=1
uv run --frozen --no-default-groups
--with pytest==8.3.5
--with pytest-codspeed==5.0.3
--with psutil==7.2.2
--with vcrpy==8.2.1
--with hypothesis==6.165.10
--with reportlab==5.0.1
--with "mcp>=1.26.0,<2.0"
--with "a2a-sdk>=1.1.0,<2.0"
pytest -p pytest_codspeed.plugin -c /dev/null --rootdir=.
--import-mode=importlib -o consider_namespace_packages=true
tests/rust-python-harness/strategies/e2e_benchmark/codspeed.py
--collect-only -q
- name: Build release extension
run: VIRTUAL_ENV="$PWD/.venv" uvx --from maturin==1.15.0 maturin develop --release
- name: Run OCR walltime benchmarks
uses: CodSpeedHQ/action@1c8ae4843586d3ba879736b7f6b7b0c990757fab # v4.12.1
with:
mode: walltime
run: >-
uv run --no-sync --no-default-groups
--with pytest==8.3.5
--with pytest-codspeed==5.0.3
--with psutil==7.2.2
--with vcrpy==8.2.1
--with hypothesis==6.165.10
--with reportlab==5.0.1
--with "mcp>=1.26.0,<2.0"
--with "a2a-sdk>=1.1.0,<2.0"
python -m tests.rust-python-harness.strategies.e2e_benchmark.codspeed

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@ -215,6 +215,7 @@ dev = [
"pytest-timeout==2.4.0",
"vcrpy==8.2.1",
"pytest-recording==0.13.4",
"psutil==7.2.2",
]
e2e-dev = [
"playwright==1.61.0",

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@ -58,11 +58,12 @@ tests/rust-python-harness/
- A strategy is a folder under `strategies/` with a one-line `AGENTS.md` and an `__init__.py` exporting exactly one `STRATEGY: StrategyDefinition`; its id must equal the folder name
- `shared/reporting/strategy.py` is the contract: runnable module/suite specs, not-implemented/skipped specs, the runner protocol, and `StrategyDefinition`
- Every `STRATEGY` explicitly classifies every SDK function; surface-aware strategies declare their surfaces and classify the complete surface-by-function matrix
- Run locally only; no CI integration
- Run locally; `e2e_benchmark` also has a CodSpeed walltime job
- `python -m tests.rust-python-harness run <strategy>|all` runs the selected strategy; `--function` is common, while each strategy exposes only its supported options
- Examples: `run e2e_parity --surface sdk --function ocr`, `run unit_tests_parity --function ocr --pytest-arg=-x`, or `run all --function ocr`
- `cli/catalog.py` discovers strategies, validates their Python definitions, and orders them; `cli/__init__.py` builds the Click command tree; `cli/commands.py` runs selected cases
- `e2e_parity/` compares SDK objects, exceptions, callbacks, and streams, or gateway HTTP responses
- `e2e_benchmark/` measures SDK latency, CPU time, and RSS with size-varied local provider replays in isolated processes
- `trace_parity/` compares mapped operations, call counts, and required execution ordering; before running it rebuilds the native bridge with the `trace-parity` feature whenever `litellm-rust` sources are newer than the installed extension (`shared/native_build.py`)
- E2E and trace strategies load their registered module cases and run surface-specific execution from their folders
- `unit_tests_mapping/contracts.py` owns typed harness-side mapping contracts, per-function contracts live below `cases/`, and `mappings.py` exports the registry; live test discovery derives unmapped Python and Rust-only tests without an exhaustive manifest

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@ -90,6 +90,7 @@ def test_should_load_surface_aware_and_function_only_strategies() -> None:
assert [strategy.id for strategy in strategies] == [
"e2e_parity",
"e2e_benchmark",
"trace_parity",
"unit_tests_mapping",
"unit_tests_parity",
@ -242,6 +243,7 @@ def _assert_unavailable_cell(strategy: Strategy, case: HarnessCase, section_titl
def test_every_unavailable_case_finishes_and_explains_itself() -> None:
section_titles: Final = {
"e2e_parity": "End-to-end parity outcomes",
"e2e_benchmark": "End-to-end benchmark measurements",
"trace_parity": "trace comparisons",
"unit_tests_mapping": "Python/Rust unit-test mappings",
"unit_tests_parity": "Python backend parity outcomes",
@ -262,6 +264,7 @@ def test_every_unavailable_case_finishes_and_explains_itself() -> None:
("strategy_id", "present", "absent"),
(
("e2e_parity", "--surface", "--pytest-arg"),
("e2e_benchmark", "--benchmark-arg", "--pytest-arg"),
("trace_parity", "--surface", "--pytest-arg"),
("unit_tests_parity", "--pytest-arg", "--surface"),
("unit_tests_mapping", "--detail", "--surface"),
@ -290,6 +293,7 @@ def test_run_help_lists_all_and_every_strategy(capsys: pytest.CaptureFixture[str
for command in (
"all",
"e2e_parity",
"e2e_benchmark",
"trace_parity",
"unit_tests_mapping",
"unit_tests_parity",
@ -394,9 +398,9 @@ def test_run_all_selects_every_declared_case_once(monkeypatch: pytest.MonkeyPatc
monkeypatch.setattr(cli, "run_command", capture_run)
assert main(["run", "all", "--function", "ocr"]) == 0
assert len(selected) == 7
assert len(selected) == 8
assert sum(case.surface is None for case in selected) == 3
assert sum(case.surface is not None for case in selected) == 4
assert sum(case.surface is not None for case in selected) == 5
def test_run_reports_not_implemented_surface_as_not_run(

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@ -0,0 +1,50 @@
# What this is
Measures Python and Rust SDK latency, process CPU time, and sampled RSS against local provider replays. Initial coverage is sync/async Mistral OCR at concurrency one. Other SDK functions remain explicitly unimplemented. Keep implementation in this strategy folder. The local CLI reports latency, CPU, and RSS; the CodSpeed adapter uploads walltime measurements from the existing repository workflow
# How it works
Derive five profiles from the existing `e2e_parity` recording without editing it. `small` uses a 32 KiB PDF and one response page. `request_medium` and `request_large` increase only the PDF to 256 KiB and 2 MiB. `response_medium` and `response_large` increase only the response to 16 and 128 pages. Insert PDF comment padding before the original final `startxref` and EOF trailer, preserving object offsets. Response pages are synthetic repetitions, independent of actual PDF content
Generate fixtures in the controller, outside SDK worker imports. Each backend, route, profile, and repeat gets fresh timing and memory workers against a separate local HTTP provider process. Run Python and Rust sequentially, reversing their order on alternating repeats. The default four repeats balance backend order. Timing workers run at least the requested iteration count and minimum duration; the separate memory workers use the same fixed iteration count for both backends The provider drains request bytes and serves preloaded responses without JSON parsing or capture. Its CPU and RSS are excluded
Warmup, preflight response checks, bounded-memory native hashing, and garbage collection precede readiness. Require matching Python/Rust preflight digests and matching timing/memory worker digests. Every request checks the parity harness's User-Agent convention to reject Python fallback during a Rust run. Use `e2e_parity` for complete request and response semantics
Time each SDK call until its returned result is discarded. Async calls share a persistent event loop. Process CPU and batch elapsed time include sample collection overhead and work on Python/native threads. Startup, fixture loading, warmup, preflight, final garbage collection, and reporting are excluded. Deferred callbacks can outlive the measured batch
Sample only the SDK worker's RSS in the separate memory pass. Baseline follows warmup and garbage collection. Peak includes baseline, periodic samples, and the final sample. After RSS follows another garbage collection with input/client state resident. RSS includes native allocations and shared pages. Sampling can miss short peaks, and retained RSS does not prove a leak
Publish readiness/results atomically in temporary JSON files, reserving stdout/stderr for diagnostics. Bound readiness, measurement, and shutdown waits. Terminate and reap workers on failure or interruption. Reject missing extensions, backend mismatches, exceptions, and incomplete samples. Preserve completed pairs in partial reports when a worker fails
Report pooled p50/p95/p99 and mean/standard-deviation latency, per-repeat sample counts, elapsed time, medians and throughput, CPU milliseconds per call, sequential calls per second, baseline/peak/after RSS, and Python p50 divided by backend p50. JSON retains raw per-repeat samples, fixture/extension hashes, Python version, options, platform, Git revision, and working-tree state. JSON schema version 2 also exports diagnostic warnings. A pass confirms completed measurements without establishing statistical significance or imposing performance thresholds. Warn for single repeats, unbalanced order, batches shorter than one second, or a repeat-median range exceeding 10% of its median. These are diagnostic heuristics; absence of warnings is not proof of stability. Pooled statistics weight each call equally, so duration-based sampling can weight faster repeats more heavily. Inspect independent repeat statistics before interpreting pooled ratios. Calls per second follows batch mean time, not median latency. Keep slow calls in the data Use an idle host, inspect repeat variation, and treat short-run tail estimates cautiously. Loopback HTTP, allocator behavior, and deferred work affect results. Streaming, gateway overhead, live provider latency, and concurrent throughput are outside scope
Editable `uv sync` builds a development extension. Build release explicitly and retain `--no-sync`:
```sh
uv sync --frozen --python 3.12
VIRTUAL_ENV="$PWD/.venv" uvx --from maturin==1.15.0 maturin develop --release
uv run --no-sync python -m tests.rust-python-harness run e2e_benchmark \
--surface sdk --function ocr \
--benchmark-arg=--output=/tmp/e2e-benchmark.json
```
Forward each option through `--benchmark-arg=...`. Defaults: `--iterations=100`, `--warmup=10`, `--repeats=4`, `--min-time=1` second, `--timeout=120` seconds, `--sample-interval-ms=5`. Repeat `--profile=NAME` or `--route=ocr|aocr` to select subsets. `--output=PATH` exports JSON. Invalid values and unwritable destinations produce handled CLI errors. `run all` includes this strategy. A smoke run can select `small`, `ocr`, 10 iterations, 2 warmups, 1 repeat, and `--min-time=0`
Run focused checks with `uv run --no-sync pytest -o consider_namespace_packages=true tests/rust-python-harness/strategies/e2e_benchmark tests/rust-python-harness/cli -q`
The CodSpeed job in `.github/workflows/codspeed.yml` uses `mode: walltime` on `codspeed-macro`, with release compilation outside instrumentation. It leaves the existing CPU simulation job intact. Macro runners need explicit access to this public repository through the organization runner group. The ARM64 release cache includes runner architecture
Run the CodSpeed adapter in place:
```sh
uv pip install --python .venv/bin/python pytest-codspeed==5.0.3
uv run --no-sync python -m tests.rust-python-harness.strategies.e2e_benchmark.codspeed
```
Use `--profile=small`, `--route=ocr|aocr`, and `--max-time=5` seconds to select work. Each backend/profile/route runs once in a fresh pytest process with a stable CodSpeed benchmark ID. Setup, provider startup, preflight validation, and teardown are outside the benchmark fixture. Compare Python/Rust response digests after both processes finish. The same provider rejects backend fallback. Timed warmup and round-count selection are supplied by CodSpeed, which stores history and profiling data in CI. Repeated rounds in one process do not replace independent process repeats; use the local CLI for that audit
Set CodSpeed `min_time=0` so each round measures one full SDK call. This also avoids the pinned plugin's terminal display dividing normalized timings by iterations a second time for multi-call rounds. Async measurements await completion on a persistent loop, including `run_until_complete` entry/exit per call; local CLI async samples run inside the loop, so compare backends within each instrument rather than equating their absolute timings. Neither path overrides the logging executor. CodSpeed's best-time statistic is not the CLI's median or throughput. Memory and process CPU remain separate local measurements
Interpret results per route and profile. A synchronous small-request improvement does not establish an async improvement or monotonic scaling. Neither path isolates PyO3 overhead. Sampled peak RSS reductions do not imply equivalent retained-memory reductions. Use a separate bridge microbenchmark and allocation profiling to investigate causes
Methodology references: [Switowski](https://switowski.com/blog/how-to-benchmark-python-code/) on repeatability and setup boundaries, [CodSpeed](https://codspeed.io/docs/instruments/walltime) on I/O-inclusive measurement, [UCL](https://github-pages.arc.ucl.ac.uk/python-tooling/pages/benchmarking-profiling.html) on benchmarking versus profiling, and [Bencher](https://bencher.dev/learn/benchmarking/python/pytest-benchmark/) on distributions and mean-based throughput

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@ -0,0 +1,43 @@
from pathlib import Path
from typing import Final
from ...shared.reporting.models import SDK_FUNCTIONS, Coverage
from ...shared.reporting.strategy import (
CaseDefinition,
ModuleCaseSpec,
NotImplementedCaseSpec,
RunnerArgumentDefinition,
StrategyDefinition,
)
from .reporting import render_benchmark_results
from .runner import run_benchmark_cases
STRATEGY: Final = StrategyDefinition(
id="e2e_benchmark",
order=15,
label="End-to-end benchmark",
description="Compare Python/Rust SDK latency, CPU time, and RSS using local provider replays.",
directory=Path(__file__).parent,
runnable_spec=ModuleCaseSpec,
cases=tuple(
CaseDefinition(
function,
ModuleCaseSpec(
coverage=Coverage.PARTIAL,
module="tests.rust-python-harness.strategies.e2e_benchmark.workloads",
note="Sync/async Mistral OCR with scaled recorded fixtures; concurrency is one.",
)
if function == "ocr"
else NotImplementedCaseSpec(reason="No benchmark workload is implemented for this SDK function yet."),
surface="sdk",
)
for function in SDK_FUNCTIONS
),
run=run_benchmark_cases,
render=render_benchmark_results,
surfaces=("sdk",),
runner_argument=RunnerArgumentDefinition(
option="--benchmark-arg",
help="benchmark option, e.g. --benchmark-arg=--iterations=100; see the strategy AGENTS.md",
),
)

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@ -0,0 +1,161 @@
from __future__ import annotations
import asyncio
import gc
import math
import os
import signal
import subprocess
import sys
import tempfile
from collections.abc import Awaitable, Callable
from pathlib import Path
from typing import TYPE_CHECKING, Final, cast
import click
import pytest
from litellm.llms.base_llm.ocr.transformation import OCRResponse
from .constants import PYTHON_SENTINEL
from .models import Backend, Options, Profile, Ready, Route
from .provider import provider_process
from .worker import capture_ready
from .workloads import ocr_workload
if TYPE_CHECKING:
from pytest_codspeed.plugin import BenchmarkFixture
CASES: Final = tuple(
(backend, route, profile)
for profile in Options().profiles
for route in Options().routes
for backend in ("python", "rust")
)
@pytest.mark.parametrize(("backend", "route", "profile"), CASES, ids=tuple("-".join(case) for case in CASES))
@pytest.mark.benchmark(min_time=0)
def test_sdk(benchmark: BenchmarkFixture, backend: Backend, route: Route, profile: Profile) -> None:
import litellm
assert os.environ.get("LITELLM_RUST") == ("1" if backend == "rust" else "0"), "use the codspeed module CLI"
workload: Final = ocr_workload(profile)
with provider_process(workload.response, backend) as url:
kwargs: Final = {
"model": workload.model,
"document": {"type": "document_url", "document_url": workload.document_url},
"api_key": "benchmark-local-only",
"api_base": url,
"timeout": 10,
"num_retries": 0,
}
if route == "ocr":
sync_call: Final = cast(Callable[..., OCRResponse], litellm.ocr)
ready: Final = capture_ready(sync_call(**kwargs))
def call_sync() -> None:
sync_call(**kwargs)
gc.collect()
benchmark(call_sync)
Path(os.environ["LITELLM_BENCHMARK_READY"]).write_text(ready.model_dump_json())
return
async_call: Final = cast(Callable[..., Awaitable[OCRResponse]], litellm.aocr)
loop: Final = asyncio.new_event_loop()
try:
async_ready: Final = capture_ready(loop.run_until_complete(async_call(**kwargs)))
async def call_async() -> None:
await async_call(**kwargs)
def call_on_loop() -> None:
loop.run_until_complete(call_async())
gc.collect()
benchmark(call_on_loop)
Path(os.environ["LITELLM_BENCHMARK_READY"]).write_text(async_ready.model_dump_json())
finally:
loop.run_until_complete(loop.shutdown_asyncgens())
loop.close()
def run_case(backend: Backend, route: Route, profile: Profile, ready_file: Path, max_time: float) -> Ready:
root: Final = Path(__file__).resolve().parents[4]
nodeid: Final = f"{Path(__file__).relative_to(root)}::test_sdk[{backend}-{route}-{profile}]"
with subprocess.Popen(
(
sys.executable,
"-m",
"pytest",
"-p",
"pytest_codspeed.plugin",
"-c",
os.devnull,
f"--rootdir={root}",
"--import-mode=importlib",
"-o",
"consider_namespace_packages=true",
"--codspeed",
"--codspeed-mode=walltime",
"--codspeed-warmup-time=1",
f"--codspeed-max-time={max_time}",
nodeid,
"-q",
),
cwd=root,
env={
**os.environ,
"PYTEST_DISABLE_PLUGIN_AUTOLOAD": "1",
"LITELLM_RUST": "1" if backend == "rust" else "0",
"LITELLM_USER_AGENT": PYTHON_SENTINEL,
"LITELLM_LOCAL_MODEL_COST_MAP": "True",
"LITELLM_BENCHMARK_READY": str(ready_file),
"NO_PROXY": "127.0.0.1,localhost",
"no_proxy": "127.0.0.1,localhost",
},
start_new_session=True,
) as child:
try:
code: Final = child.wait(timeout=max_time + 120)
if code:
raise click.ClickException(f"CodSpeed benchmark failed: {backend}/{route}/{profile}, exit {code}")
except subprocess.TimeoutExpired as error:
raise click.ClickException(f"CodSpeed worker timed out: {backend}/{route}/{profile}") from error
finally:
try:
os.killpg(child.pid, signal.SIGTERM)
except ProcessLookupError:
pass
try:
child.wait(timeout=5)
except subprocess.TimeoutExpired:
os.killpg(child.pid, signal.SIGKILL)
child.wait()
return Ready.model_validate_json(ready_file.read_bytes())
def run_pair(route: Route, profile: Profile, directory: Path, max_time: float) -> None:
pair: Final = tuple(
run_case(backend, route, profile, directory / f"{backend}.json", max_time) for backend in ("python", "rust")
)
if pair[0].response_digest != pair[1].response_digest:
raise click.ClickException(f"Python/Rust responses differ for {route}/{profile}; run e2e_parity")
@click.command()
@click.option("--profile", "profiles", multiple=True, type=click.Choice(Options().profiles), default=Options().profiles)
@click.option("--route", "routes", multiple=True, type=click.Choice(Options().routes), default=Options().routes)
@click.option("--max-time", type=click.FloatRange(min=0.1, max=60), default=5.0, show_default=True)
def main(profiles: tuple[Profile, ...], routes: tuple[Route, ...], max_time: float) -> None:
"""Run isolated SDK workers with CodSpeed walltime calibration and profiling."""
if not math.isfinite(max_time):
raise click.BadParameter("must be finite", param_hint="--max-time")
with tempfile.TemporaryDirectory(prefix="litellm-codspeed-") as directory:
for profile in dict.fromkeys(profiles):
for route in dict.fromkeys(routes):
run_pair(route, profile, Path(directory), max_time)
if __name__ == "__main__":
main()

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@ -0,0 +1,3 @@
from typing import Final
PYTHON_SENTINEL: Final = "litellm-benchmark-python"

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@ -0,0 +1,161 @@
from __future__ import annotations
import os
import subprocess
import sys
import tempfile
from collections.abc import Generator, Iterator
from contextlib import contextmanager, suppress
from pathlib import Path
from time import monotonic, sleep
from typing import TYPE_CHECKING, Final, TextIO
import psutil
from .constants import PYTHON_SENTINEL
from .models import Backend, BenchmarkModel, Invocation, Measurement, Memory, Options, Ready, Route, Timing
from .provider import provider_process
if TYPE_CHECKING:
from .workloads import Workload
WORKER_MODULE: Final = "tests.rust-python-harness.strategies.e2e_benchmark.worker"
class ProcessMemory(BenchmarkModel):
rss: int
def rss_bytes(process: psutil.Process) -> int:
return ProcessMemory.model_validate(process.memory_info(), from_attributes=True).rss
@contextmanager
def sdk_process(case_file: Path, backend: Backend, repo_root: Path, log: TextIO) -> Generator[subprocess.Popen[str]]:
process: Final = subprocess.Popen(
(sys.executable, "-m", WORKER_MODULE, str(case_file)),
cwd=repo_root,
env={
**os.environ,
"LITELLM_RUST": "1" if backend == "rust" else "0",
"LITELLM_USER_AGENT": PYTHON_SENTINEL,
"LITELLM_LOCAL_MODEL_COST_MAP": "True",
"NO_PROXY": "127.0.0.1,localhost",
"no_proxy": "127.0.0.1,localhost",
"PYTHONPATH": str(repo_root),
},
stdin=subprocess.PIPE,
stdout=log,
stderr=log,
text=True,
)
try:
yield process
except BaseException:
process.terminate()
raise
finally:
if process.stdin is not None:
with suppress(BrokenPipeError):
process.stdin.close()
try:
process.wait(timeout=5)
except subprocess.TimeoutExpired:
process.kill()
process.wait(timeout=5)
def wait_for_output(
output: Path, child: subprocess.Popen[str], options: Options, *, sample_memory: bool = False
) -> Iterator[int]:
deadline: Final = monotonic() + options.timeout
process: Final = psutil.Process(child.pid) if sample_memory else None
interval: Final = options.sample_interval_ms / 1000 if sample_memory else 0.01
while not output.exists():
if child.poll() is not None:
raise RuntimeError(f"SDK worker exited with code {child.returncode} before writing {output.name}")
if monotonic() >= deadline:
raise TimeoutError(f"SDK worker timed out waiting for {output.name}")
if process is not None:
yield rss_bytes(process)
sleep(min(interval, max(0, deadline - monotonic())))
def execute_phase(
invocation: Invocation, backend: Backend, options: Options, repo_root: Path
) -> tuple[Ready, Timing, Memory]:
with tempfile.TemporaryDirectory(prefix="litellm-benchmark-") as raw_directory:
directory: Final = Path(raw_directory)
case_file: Final = directory / "invocation.json"
case_file.write_text(invocation.model_dump_json())
ready_file: Final = directory / "ready.json"
timing_file: Final = directory / "timing.json"
with (directory / "worker.log").open("w+") as log:
try:
with sdk_process(case_file, backend, repo_root, log) as child:
tuple(wait_for_output(ready_file, child, options))
ready: Final = Ready.model_validate_json(ready_file.read_bytes())
if invocation.phase == "timing":
child.communicate(input="go\n", timeout=options.timeout)
if child.returncode != 0:
raise RuntimeError(f"SDK worker exited with code {child.returncode}")
return (
ready,
Timing.model_validate_json(timing_file.read_bytes()),
Memory(baseline_rss_bytes=0, sampled_peak_rss_bytes=0, retained_rss_bytes=0, samples=0),
)
process: Final = psutil.Process(child.pid)
baseline: Final = rss_bytes(process)
assert child.stdin is not None
child.stdin.write("go\n")
child.stdin.flush()
samples: Final = tuple(wait_for_output(timing_file, child, options, sample_memory=True))
retained: Final = rss_bytes(process)
return (
ready,
Timing.model_validate_json(timing_file.read_bytes()),
Memory(
baseline_rss_bytes=baseline,
sampled_peak_rss_bytes=max((baseline, retained, *samples)),
retained_rss_bytes=retained,
samples=len(samples),
),
)
except (RuntimeError, OSError, ValueError, TimeoutError, subprocess.TimeoutExpired, psutil.Error) as error:
log.seek(0)
raise RuntimeError(f"{backend}/{invocation.phase}: {error}\n{log.read()[-6000:]}") from error
def benchmark(
workload: Workload, route: Route, backend: Backend, repeat: int, options: Options, repo_root: Path
) -> Measurement:
with provider_process(workload.response, backend) as url:
invocation: Final = Invocation(
model=workload.model,
document_url=workload.document_url,
route=route,
provider_url=url,
iterations=options.iterations,
warmup=options.warmup,
phase="timing",
min_time=options.min_time,
)
ready, timing, _ = execute_phase(invocation, backend, options, repo_root)
memory_ready, _, memory = execute_phase(
invocation.model_copy(update={"phase": "memory"}), backend, options, repo_root
)
if ready != memory_ready:
raise ValueError("timing and memory workers returned different preflight results")
return Measurement(
backend=backend,
repeat=repeat,
profile=workload.profile,
route=route,
document_bytes=workload.document_bytes,
response_bytes=len(workload.response),
response_pages=workload.response_pages,
fixture_sha256=workload.fixture_sha256,
ready=ready,
timing=timing,
memory=memory,
)

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from __future__ import annotations
from typing import Literal
from pydantic import BaseModel, ConfigDict, Field
Backend = Literal["python", "rust"]
Route = Literal["ocr", "aocr"]
Phase = Literal["timing", "memory"]
Profile = Literal["small", "request_medium", "request_large", "response_medium", "response_large"]
class BenchmarkModel(BaseModel):
model_config = ConfigDict(frozen=True, extra="forbid")
class Options(BenchmarkModel):
iterations: int = Field(default=100, ge=1)
warmup: int = Field(default=10, ge=1)
repeats: int = Field(default=4, ge=1)
min_time: float = Field(default=1, ge=0, allow_inf_nan=False)
profiles: tuple[Profile, ...] = ("small", "request_medium", "request_large", "response_medium", "response_large")
routes: tuple[Route, ...] = ("ocr", "aocr")
timeout: float = Field(default=120, gt=0, allow_inf_nan=False)
sample_interval_ms: float = Field(default=5, ge=1, allow_inf_nan=False)
output: str | None = None
class Invocation(BenchmarkModel):
model: str
document_url: str
route: Route
provider_url: str
iterations: int
warmup: int
phase: Phase
min_time: float = Field(default=0, ge=0, allow_inf_nan=False)
class Ready(BenchmarkModel):
response_digest: str
python_version: str
native_sha256: str | None
class Timing(BenchmarkModel):
latency_ms: tuple[float, ...]
cpu_ms: float
elapsed_ms: float
class Memory(BenchmarkModel):
baseline_rss_bytes: int
sampled_peak_rss_bytes: int
retained_rss_bytes: int
samples: int
class Measurement(BenchmarkModel):
backend: Backend
repeat: int
profile: Profile
route: Route
document_bytes: int
response_bytes: int
response_pages: int
fixture_sha256: str
ready: Ready
timing: Timing
memory: Memory

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from __future__ import annotations
import multiprocessing
from collections.abc import Generator
from contextlib import contextmanager
from multiprocessing.connection import Connection
from typing import ClassVar, Final
from ...shared.parity.local_server import LocalHttpHandler, LocalHttpServer
from .constants import PYTHON_SENTINEL
from .models import Backend
class Provider(LocalHttpServer):
def __init__(self, response: bytes, backend: Backend) -> None:
super().__init__(("127.0.0.1", 0), Handler)
self.response: Final = response
self.backend: Final = backend
class Handler(LocalHttpHandler):
disable_nagle_algorithm: ClassVar[bool] = True
def do_POST(self) -> None:
provider: Final = self.server
assert isinstance(provider, Provider)
self.rfile.read(int(self.headers.get("content-length", "0")))
python_http: Final = self.headers.get("user-agent") == PYTHON_SENTINEL
if python_http != (provider.backend == "python"):
self.send_error(409, "SDK backend mismatch: Rust may have fallen back to Python")
return
if self.path != "/v1/ocr":
self.send_error(404, "unexpected benchmark endpoint")
return
self.send_response_only(200)
self.send_header("content-type", "application/json")
self.send_header("content-length", str(len(provider.response)))
self.end_headers()
self.wfile.write(provider.response)
def _serve(response: bytes, backend: Backend, pipe: Connection) -> None:
with Provider(response, backend) as provider:
pipe.send_bytes(provider.url.encode())
pipe.close()
provider.serve_forever()
@contextmanager
def provider_process(response: bytes, backend: Backend) -> Generator[str]:
context: Final = multiprocessing.get_context("spawn")
receive, send = context.Pipe(duplex=False)
process: Final = context.Process(target=_serve, args=(response, backend, send))
process.start()
send.close()
try:
if not receive.poll(30):
raise TimeoutError("benchmark provider did not start within 30 seconds")
url: Final = receive.recv_bytes().decode()
if not url.startswith("http://127.0.0.1:"):
raise ValueError("benchmark provider returned an invalid local address")
yield url
finally:
receive.close()
process.terminate()
process.join(timeout=5)
if process.is_alive():
process.kill()
process.join(timeout=5)
process.close()

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from __future__ import annotations
import math
import statistics
from collections.abc import Sequence
from typing import Final
from pydantic import TypeAdapter
from ...shared.reporting.models import CaseResult
from ...shared.reporting.rendering import ReportSection, render_case_outcome
from .models import Measurement
MEASUREMENTS: Final = TypeAdapter(tuple[Measurement, ...])
ARTIFACT_KIND: Final = "e2e_benchmark"
def percentile(samples: Sequence[float], quantile: float) -> float:
if not samples or not 0 < quantile <= 1:
raise ValueError("percentile requires samples and a quantile in (0, 1]")
return sorted(samples)[math.ceil(len(samples) * quantile) - 1]
def measurements(results: Sequence[CaseResult]) -> tuple[Measurement, ...]:
return tuple(
measurement
for result in results
for artifacts in result.artifacts.values()
for artifact in artifacts
if artifact.kind == ARTIFACT_KIND
for measurement in MEASUREMENTS.validate_json(artifact.body)
)
def measurement_warnings(values: tuple[Measurement, ...]) -> tuple[str, ...]:
keys: Final = tuple(dict.fromkeys((value.route, value.profile, value.backend) for value in values))
def warnings(route: str, profile: str, backend: str) -> tuple[str, ...]:
group: Final = tuple(
value for value in values if (value.route, value.profile, value.backend) == (route, profile, backend)
)
medians: Final = tuple(statistics.median(value.timing.latency_ms) for value in group)
prefix: Final = f"{route}/{profile}/{backend}"
return (
*((f"{prefix}: one process repeat cannot establish repeatability",) if len(group) == 1 else ()),
*((f"{prefix}: backend order is unbalanced",) if len(group) % 2 else ()),
*(
(f"{prefix}: batch shorter than 1 second; increase --min-time",)
if any(value.timing.elapsed_ms < 1000 for value in group)
else ()
),
*(
(f"{prefix}: repeat p50 range exceeds 10% of its median; investigate variability",)
if max(medians) - min(medians) > statistics.median(medians) * 0.1
else ()
),
)
return tuple(warning for route, profile, backend in keys for warning in warnings(route, profile, backend))
def render_measurements(values: tuple[Measurement, ...]) -> str:
keys: Final = tuple(dict.fromkeys((value.route, value.profile) for value in values))
header: Final = (
"route/profile | backend | p50/p95/p99 ms | mean/stdev ms | CPU ms/call | calls/s | "
"RSS baseline/peak/after MiB | pooled p50 ratio"
)
def row(group: tuple[Measurement, ...], baseline: float) -> str:
samples: Final = tuple(sample for value in group for sample in value.timing.latency_ms)
median: Final = statistics.median(samples)
cpu: Final = sum(value.timing.cpu_ms for value in group) / len(samples)
rps: Final = len(samples) * 1000 / sum(value.timing.elapsed_ms for value in group)
rss: Final = (
statistics.median(value.memory.baseline_rss_bytes for value in group),
max(value.memory.sampled_peak_rss_bytes for value in group),
statistics.median(value.memory.retained_rss_bytes for value in group),
)
return (
f"{group[0].route}/{group[0].profile} | {group[0].backend} | "
f"{median:.3f}/{percentile(samples, 0.95):.3f}/{percentile(samples, 0.99):.3f} | "
f"{statistics.mean(samples):.3f}/{statistics.pstdev(samples):.3f} | {cpu:.3f} | {rps:.1f} | "
f"{'/'.join(f'{value / 2**20:.1f}' for value in rss)} | {baseline / median:.2f}x"
)
def rows(route: str, profile: str) -> tuple[str, ...]:
python: Final = tuple(
value for value in values if (value.route, value.profile, value.backend) == (route, profile, "python")
)
rust: Final = tuple(
value for value in values if (value.route, value.profile, value.backend) == (route, profile, "rust")
)
baseline: Final = statistics.median(sample for value in python for sample in value.timing.latency_ms)
return row(python, baseline), row(rust, baseline)
repeats: Final = tuple(
f"{value.route}/{value.profile} | {value.backend} | {value.repeat + 1} | "
f"{len(value.timing.latency_ms)} | {value.timing.elapsed_ms:.1f} | "
f"{statistics.median(value.timing.latency_ms):.3f} | {statistics.mean(value.timing.latency_ms):.3f} | "
f"{len(value.timing.latency_ms) * 1000 / value.timing.elapsed_ms:.1f}"
for value in values
)
return "\n".join(
(
header,
*(line for route, profile in keys for line in rows(route, profile)),
"Per-repeat measurements (independent processes):",
"route/profile | backend | repeat | calls | batch ms | p50 ms | mean ms | calls/s",
*repeats,
"Completed measurements do not establish statistical significance or isolate PyO3 overhead",
*(f"WARNING: {warning}" for warning in measurement_warnings(values)),
)
)
def render_benchmark_results(results: Sequence[CaseResult]) -> tuple[ReportSection, ...]:
values: Final = measurements(results)
blocks: Final = tuple(render_case_outcome(result) for result in results)
return (
ReportSection(
"End-to-end benchmark measurements",
(*blocks, *((render_measurements(values),) if values else ())),
),
)

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from __future__ import annotations
import platform
import subprocess
from collections.abc import Sequence
from pathlib import Path
from time import monotonic
from typing import TYPE_CHECKING, Final
import click
from pydantic import ValidationError
from ...shared.reporting.models import CaseResult, HarnessCase, HarnessRun, ResultArtifact, RunStatus
from ...shared.reporting.strategy import ModuleCaseSpec, UpdateCallback
from .execution import benchmark
from .models import Backend, BenchmarkModel, Measurement, Options, Profile, Route
from .reporting import ARTIFACT_KIND, MEASUREMENTS, measurements, measurement_warnings
if TYPE_CHECKING:
from .workloads import Workload
class Report(BenchmarkModel):
schema_version: int = 2
revision: str
working_tree_dirty: bool
platform: str
options: Options
measurements: tuple[Measurement, ...]
failures: tuple[tuple[str, str], ...]
warnings: tuple[str, ...] = ()
def parse_options(arguments: Sequence[str]) -> Options:
defaults: Final = Options()
command: Final = click.Command(
"e2e_benchmark",
params=[
click.Option(("--iterations",), type=click.IntRange(min=1), default=defaults.iterations),
click.Option(("--min-time",), type=click.FloatRange(min=0), default=defaults.min_time),
click.Option(("--warmup",), type=click.IntRange(min=1), default=defaults.warmup),
click.Option(("--repeats",), type=click.IntRange(min=1), default=defaults.repeats),
click.Option(
("--profile", "profiles"),
type=click.Choice(defaults.profiles),
multiple=True,
default=defaults.profiles,
),
click.Option(
("--route", "routes"), type=click.Choice(defaults.routes), multiple=True, default=defaults.routes
),
click.Option(("--timeout",), type=click.FloatRange(min=0, min_open=True), default=defaults.timeout),
click.Option(("--sample-interval-ms",), type=click.FloatRange(min=1), default=defaults.sample_interval_ms),
click.Option(("--output",)),
],
)
with command.make_context("e2e_benchmark", list(arguments)) as context:
try:
return Options.model_validate(context.params)
except ValidationError as error:
raise click.UsageError(str(error)) from error
def _run_pair(
workload: Workload, route: Route, repeat: int, options: Options, repo_root: Path
) -> tuple[Measurement, ...]:
order: Final[tuple[Backend, Backend]] = ("python", "rust") if repeat % 2 == 0 else ("rust", "python")
pair: Final = tuple(benchmark(workload, route, backend, repeat, options, repo_root) for backend in order)
if pair[0].ready.response_digest != pair[1].ready.response_digest:
raise ValueError("Python and Rust preflight SDK responses differ; run e2e_parity before comparing performance")
if any(len(value.timing.latency_ms) < options.iterations for value in pair):
raise ValueError("SDK worker returned an incomplete measurement")
return pair
def _run_job(
result: CaseResult,
run: HarnessRun,
options: Options,
repo_root: Path,
job: tuple[Profile, Route, int, str],
) -> bool:
from .workloads import ocr_workload
profile, route, repeat, nodeid = job
start: Final = monotonic()
try:
pair: Final = _run_pair(ocr_workload(profile), route, repeat, options, repo_root)
except Exception as error:
result.record(nodeid, RunStatus.ERROR, monotonic() - start)
run.failures.append((nodeid, f"{type(error).__name__}: {error}"))
return False
result.record(
nodeid,
RunStatus.PASSED,
monotonic() - start,
artifacts=(ResultArtifact(ARTIFACT_KIND, MEASUREMENTS.dump_json(pair).decode()),),
)
return True
def _run_case(result: CaseResult, run: HarnessRun, options: Options, repo_root: Path, update: UpdateCallback) -> None:
jobs: Final[tuple[tuple[Profile, Route, int, str], ...]] = tuple(
(profile, route, repeat, f"benchmark:{route}:{profile}:{repeat}")
for profile in dict.fromkeys(options.profiles)
for route in dict.fromkeys(options.routes)
for repeat in range(options.repeats)
)
result.collected.update(nodeid for _, _, _, nodeid in jobs)
for job in jobs:
result.status = RunStatus.RUNNING
run.current_nodeid = job[3]
update(run)
if not _run_job(result, run, options, repo_root, job):
update(run)
return
update(run)
def run_benchmark_cases(
cases: Sequence[HarnessCase],
repo_root: Path,
on_update: UpdateCallback,
runner_args: Sequence[str] = (),
) -> tuple[int, HarnessRun]:
options: Final = parse_options(runner_args)
run: Final = HarnessRun.from_cases(cases)
for result in run.results.values():
if isinstance(result.case.spec, ModuleCaseSpec):
_run_case(result, run, options, repo_root, on_update)
run.finished_at = monotonic()
if options.output:
revision: Final = subprocess.run(
("git", "rev-parse", "HEAD"), cwd=repo_root, capture_output=True, text=True, check=True
).stdout.strip()
report: Final = Report(
revision=revision,
working_tree_dirty=bool(
subprocess.run(
("git", "status", "--porcelain"), cwd=repo_root, capture_output=True, text=True, check=True
).stdout.strip()
),
platform=platform.platform(),
options=options,
measurements=measurements(tuple(run.results.values())),
failures=tuple(run.failures),
warnings=measurement_warnings(measurements(tuple(run.results.values()))),
)
try:
Path(options.output).write_text(report.model_dump_json(indent=2) + "\n")
except OSError as error:
raise click.ClickException(
f"cannot write benchmark report to {options.output}: {error.strerror}"
) from error
on_update(run)
return int(bool(run.failures)), run

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from __future__ import annotations
import asyncio
import base64
import hashlib
import subprocess
import sys
import tracemalloc
from pathlib import Path
from time import monotonic, sleep
from typing import Final
import click
import httpx
import psutil
import pytest
from litellm.llms.base_llm.ocr.transformation import OCRResponse
from ...cli import main
from .execution import execute_phase, sdk_process, wait_for_output
from .constants import PYTHON_SENTINEL
from .models import Backend, Invocation, Measurement, Memory, Options, Ready, Route, Timing
from .provider import provider_process
from .reporting import measurement_warnings, percentile, render_measurements
from .runner import Report, parse_options
from .worker import file_sha256, measure_async, measure_sync
from .workloads import JSON_OBJECT, JSON_PAGES, ocr_workload, padded_pdf
REPO_ROOT: Final = Path(__file__).resolve().parents[4]
def invocation(*, phase: str = "timing") -> Invocation:
return Invocation.model_validate(
{
"model": "mistral/mistral-ocr-latest",
"document_url": "data:application/pdf;base64,AA==",
"route": "ocr",
"provider_url": "http://127.0.0.1:1",
"iterations": 3,
"warmup": 1,
"phase": phase,
}
)
def test_request_and_response_sizes_vary_independently() -> None:
small: Final = ocr_workload("small")
request: Final = ocr_workload("request_large")
response: Final = ocr_workload("response_large")
small_body: Final = JSON_OBJECT.validate_json(small.response)
request_body: Final = JSON_OBJECT.validate_json(request.response)
response_body: Final = JSON_OBJECT.validate_json(response.response)
assert small.document_bytes == 32 * 1024
assert request.document_bytes == 2 * 1024 * 1024
assert base64.b64decode(request.document_url.split(",", 1)[1]).startswith(b"%PDF-")
assert small_body["pages"] == request_body["pages"]
assert response.document_url == small.document_url
assert len(response.response) > 100 * len(small.response)
assert tuple(page["index"] for page in JSON_PAGES.validate_python(response_body["pages"])) == tuple(range(128))
assert JSON_OBJECT.validate_python(response_body["usage_info"])["pages_processed"] == 128
assert small.fixture_sha256 == request.fixture_sha256 == response.fixture_sha256
def test_pdf_padding_preserves_existing_offsets_and_exact_size() -> None:
seed: Final = b"%PDF-1.7\n1 0 obj\n<<>>\nendobj\nstartxref\n9\n%%EOF\n"
padded: Final = padded_pdf(seed, 1024)
assert len(padded) == 1024
assert padded.startswith(seed.split(b"startxref")[0])
assert padded.endswith(b"\nstartxref\n9\n%%EOF\n")
@pytest.mark.parametrize("arguments", (("--iterations=0",), ("--warmup=0",), ("--route=chat",), ("--profile=unknown",)))
def test_invalid_benchmark_options_fail_before_running(arguments: tuple[str, ...]) -> None:
with pytest.raises(click.BadParameter):
parse_options(arguments)
def test_unknown_options_are_not_silently_ignored() -> None:
with pytest.raises(click.NoSuchOption, match="No such option"):
parse_options(("--concurrency=8",))
def test_percentiles_use_nearest_rank_without_dropping_the_tail() -> None:
assert percentile(tuple(range(1, 101)), 0.95) == 95
assert percentile((4, 1, 3, 2), 0.99) == 4
with pytest.raises(ValueError, match="requires samples"):
percentile((), 0.95)
def test_sync_timing_excludes_waiting_from_cpu_time() -> None:
def call() -> OCRResponse:
sleep(0.02)
return OCRResponse(model="benchmark", pages=[])
result: Final = measure_sync(call, invocation())
assert len(result.latency_ms) == 3
assert min(result.latency_ms) >= 20
assert result.elapsed_ms >= sum(result.latency_ms)
assert result.cpu_ms < result.elapsed_ms / 2
def test_async_timing_awaits_the_sdk_operation() -> None:
async def call() -> OCRResponse:
await asyncio.sleep(0.02)
return OCRResponse(model="benchmark", pages=[])
result: Final = asyncio.run(measure_async(call, invocation()))
assert len(result.latency_ms) == 3
assert min(result.latency_ms) >= 20
assert result.cpu_ms < result.elapsed_ms / 2
def test_memory_pass_does_not_accumulate_latency_samples() -> None:
result: Final = measure_sync(lambda: OCRResponse(model="benchmark", pages=[]), invocation(phase="memory"))
assert result.latency_ms == ()
@pytest.mark.parametrize("sample_memory", (False, True))
def test_worker_deadline_terminates_and_reaps_the_process(tmp_path: Path, sample_memory: bool) -> None:
case_file: Final = tmp_path / "invocation.json"
case_file.write_text(invocation().model_dump_json())
existing_children: Final = frozenset(process.pid for process in psutil.Process().children())
start: Final = monotonic()
with (tmp_path / "worker.log").open("w+") as log:
with pytest.raises(TimeoutError, match=r"timed out waiting for missing\.json"):
with sdk_process(case_file, "python", REPO_ROOT, log) as child:
tuple(
wait_for_output(
tmp_path / "missing.json",
child,
Options(timeout=0.02, sample_interval_ms=10000),
sample_memory=sample_memory,
)
)
assert frozenset(process.pid for process in psutil.Process().children()) <= existing_children
assert monotonic() - start < 5
def test_worker_cleanup_handles_buffered_input_after_early_exit(tmp_path: Path) -> None:
case_file: Final = tmp_path / "invocation.json"
case_file.write_text(invocation().model_dump_json())
with (tmp_path / "worker.log").open("w+") as log:
with sdk_process(case_file, "python", REPO_ROOT, log) as child:
child.terminate()
child.wait(timeout=5)
assert child.stdin is not None
child.stdin.write("go\n")
assert child.returncode is not None
def test_worker_exit_is_detected_without_waiting_for_the_deadline(tmp_path: Path) -> None:
with subprocess.Popen((sys.executable, "-c", "raise SystemExit(7)"), cwd=REPO_ROOT, text=True) as child:
with pytest.raises(RuntimeError, match="exited with code 7"):
tuple(wait_for_output(tmp_path / "missing.json", child, Options(timeout=30)))
def test_replay_rejects_python_fallback_during_rust_measurement() -> None:
workload: Final = ocr_workload("small")
with provider_process(workload.response, "rust") as url:
response: Final = httpx.post(url + "/v1/ocr", content=b"{}", headers={"user-agent": PYTHON_SENTINEL})
assert response.status_code == 409
assert "backend mismatch" in response.text
@pytest.mark.parametrize("route", ("ocr", "aocr"))
def test_worker_errors_are_reported_instead_of_counted_as_fast_calls(route: Route) -> None:
workload: Final = ocr_workload("small")
with provider_process(workload.response, "rust") as url:
request: Final = invocation().model_copy(
update={"provider_url": url, "document_url": workload.document_url, "route": route}
)
with pytest.raises(RuntimeError, match="backend mismatch"):
execute_phase(request, "python", Options(iterations=3, warmup=1), REPO_ROOT)
def test_cli_runs_both_backends_and_exports_measurements(tmp_path: Path, capsys: pytest.CaptureFixture[str]) -> None:
output: Final = tmp_path / "measurements.json"
exit_code: Final = main(
(
"run",
"e2e_benchmark",
"--surface",
"sdk",
"--function",
"ocr",
"--benchmark-arg=--profile=small",
"--benchmark-arg=--route=aocr",
"--benchmark-arg=--iterations=3",
"--benchmark-arg=--min-time=0",
"--benchmark-arg=--warmup=1",
"--benchmark-arg=--repeats=2",
f"--benchmark-arg=--output={output}",
)
)
captured: Final = capsys.readouterr()
assert exit_code == 0, captured.out + captured.err
assert "Result: PASSED" in captured.out
report: Final = Report.model_validate_json(output.read_bytes())
assert tuple((value.repeat, value.backend) for value in report.measurements) == (
(0, "python"),
(0, "rust"),
(1, "rust"),
(1, "python"),
)
assert report.schema_version == 2
assert report.warnings == measurement_warnings(report.measurements)
assert any("batch shorter than 1 second" in warning for warning in report.warnings)
assert len({value.ready.response_digest for value in report.measurements}) == 1
for value in report.measurements:
assert len(value.timing.latency_ms) == 3
assert value.timing.cpu_ms > 0
assert min(value.timing.latency_ms) > 0
assert value.memory.baseline_rss_bytes > 0
assert value.memory.sampled_peak_rss_bytes >= value.memory.baseline_rss_bytes
assert value.memory.sampled_peak_rss_bytes >= value.memory.retained_rss_bytes > 0
assert (value.ready.native_sha256 is not None) == (value.backend == "rust")
table: Final = render_measurements(report.measurements)
assert "aocr/small | python" in table
assert "aocr/small | rust" in table
assert "CPU ms/call" in table
@pytest.mark.parametrize(
"argument",
(
"--iterations=0",
"--warmup=invalid",
"--route=chat",
"--unknown=1",
"--timeout=nan",
"--timeout=inf",
"--min-time=-1",
"--min-time=nan",
"--min-time=inf",
),
)
def test_cli_rejects_invalid_benchmark_options_without_a_traceback(
argument: str, capsys: pytest.CaptureFixture[str]
) -> None:
assert main(("run", "e2e_benchmark", "--function", "ocr", f"--benchmark-arg={argument}")) == 2
captured: Final = capsys.readouterr()
assert "Error:" in captured.err
assert "Traceback" not in captured.err
assert "sdk/ocr: running" not in captured.out
@pytest.mark.parametrize("destination", ("missing/report.json", "."))
def test_cli_reports_output_errors_without_a_traceback(
tmp_path: Path, destination: str, capsys: pytest.CaptureFixture[str]
) -> None:
output: Final = tmp_path / destination
assert main(("run", "e2e_benchmark", "--function", "chat_completions", f"--benchmark-arg=--output={output}")) == 1
captured: Final = capsys.readouterr()
assert "Error: cannot write benchmark report" in captured.err
assert str(output) in captured.err
assert "Traceback" not in captured.err
def test_cli_reports_unsupported_functions_without_measurements(
tmp_path: Path, capsys: pytest.CaptureFixture[str]
) -> None:
output: Final = tmp_path / "unsupported.json"
assert main(("run", "e2e_benchmark", "--function", "chat_completions", f"--benchmark-arg=--output={output}")) == 0
captured: Final = capsys.readouterr()
assert "not implemented" in captured.out
report: Final = Report.model_validate_json(output.read_bytes())
assert report.measurements == ()
def test_native_provenance_hash_uses_bounded_memory(tmp_path: Path) -> None:
native: Final = tmp_path / "native.so"
payload: Final = b"native-extension-data" * (1024 * 1024)
native.write_bytes(payload)
expected: Final = hashlib.sha256(payload).hexdigest()
tracemalloc.start()
try:
assert file_sha256(native) == expected
_, peak = tracemalloc.get_traced_memory()
assert peak < 1024 * 1024
finally:
tracemalloc.stop()
@pytest.mark.parametrize("route", ("ocr", "aocr"))
def test_duration_sampling_meets_time_and_iteration_minimums(route: Route) -> None:
request: Final = invocation().model_copy(update={"min_time": 0.05})
def sync_call() -> OCRResponse:
sleep(0.005)
return OCRResponse(model="benchmark", pages=[])
async def async_call() -> OCRResponse:
await asyncio.sleep(0.005)
return OCRResponse(model="benchmark", pages=[])
result: Final = (
measure_sync(sync_call, request) if route == "ocr" else asyncio.run(measure_async(async_call, request))
)
assert len(result.latency_ms) > request.iterations
assert result.elapsed_ms >= 50
count_limited: Final = request.model_copy(update={"min_time": 0.001})
short: Final = (
measure_sync(sync_call, count_limited)
if route == "ocr"
else asyncio.run(measure_async(async_call, count_limited))
)
assert len(short.latency_ms) == request.iterations
def measurement(backend: Backend, repeat: int, samples: tuple[float, ...]) -> Measurement:
return Measurement(
backend=backend,
repeat=repeat,
profile="small",
route="ocr",
document_bytes=32768,
response_bytes=100,
response_pages=1,
fixture_sha256="fixture",
ready=Ready(response_digest="response", python_version="3.12", native_sha256=None),
timing=Timing(latency_ms=samples, elapsed_ms=sum(samples), cpu_ms=1),
memory=Memory(baseline_rss_bytes=100, sampled_peak_rss_bytes=110, retained_rss_bytes=105, samples=2),
)
def test_report_exposes_tail_effects_and_insufficient_repetition() -> None:
pair: Final = (
measurement("python", 0, (1, 1, 1, 97)),
measurement("rust", 0, (1, 1, 1, 1)),
)
output: Final = render_measurements(pair)
assert "25.000/41.569" in output
assert "40.0" in output
assert "1000.0" in output
assert "Per-repeat measurements" in output
assert "one process repeat cannot establish repeatability" in output
assert "backend order is unbalanced" in output
assert "batch shorter than 1 second" in output
def test_warnings_detect_between_process_variation_without_discarding_samples() -> None:
stable: Final = tuple(measurement("python", repeat, (500, 500)) for repeat in range(4))
assert measurement_warnings(stable) == ()
varied: Final = (*stable[:3], measurement("python", 3, (1000, 1000)))
assert measurement_warnings(varied) == (
"ocr/small/python: repeat p50 range exceeds 10% of its median; investigate variability",
)
def test_codspeed_cli_runs_both_backends_and_entrypoints() -> None:
pytest.importorskip("pytest_codspeed")
result: Final = subprocess.run(
(
sys.executable,
"-m",
"tests.rust-python-harness.strategies.e2e_benchmark.codspeed",
"--profile",
"small",
"--max-time",
"0.1",
),
cwd=REPO_ROOT,
capture_output=True,
text=True,
timeout=120,
)
assert result.returncode == 0, result.stdout + result.stderr
for backend in ("python", "rust"):
for route in ("ocr", "aocr"):
assert f"test_sdk[{backend}-{route}-small]" in result.stdout
assert result.stdout.count("1 benchmarked") == 4
assert "was never awaited" not in result.stderr + result.stdout

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@ -0,0 +1,140 @@
from __future__ import annotations
import asyncio
import gc
import hashlib
import json
import platform
import sys
from collections.abc import Awaitable, Callable, Iterator
from itertools import count
from pathlib import Path
from time import perf_counter_ns, process_time_ns
from typing import Final, cast
from litellm.llms.base_llm.ocr.transformation import OCRResponse
from .models import Invocation, Ready, Timing
def file_sha256(path: Path) -> str:
digest: Final = hashlib.sha256()
with path.open("rb") as source:
for chunk in iter(lambda: source.read(256 * 1024), b""):
digest.update(chunk)
return digest.hexdigest()
def capture_ready(response: OCRResponse) -> Ready:
from litellm.rust_bridge import get_native_bridge
from litellm.rust_bridge.configuration import rust_enabled
bridge: Final = get_native_bridge() if rust_enabled() else None
if rust_enabled() and bridge is None:
raise RuntimeError("native Rust bridge is unavailable; build it with maturin develop --release")
native_path: Final = bridge.__file__ if bridge is not None else None
return Ready(
response_digest=hashlib.sha256(json.dumps(response.model_dump(), sort_keys=True).encode()).hexdigest(),
python_version=platform.python_version(),
native_sha256=file_sha256(Path(native_path)) if native_path else None,
)
def _publish(value: Ready | Timing, destination: Path) -> None:
temporary: Final = destination.with_suffix(".tmp")
temporary.write_text(value.model_dump_json())
temporary.replace(destination)
def _handshake(ready: Ready, directory: Path) -> None:
gc.collect()
_publish(ready, directory / "ready.json")
if sys.stdin.readline().strip() != "go":
raise RuntimeError("benchmark controller disconnected before measurement")
def _finish(timing: Timing, directory: Path) -> None:
gc.collect()
_publish(timing, directory / "timing.json")
sys.stdin.readline()
def _sync_sample(call: Callable[[], OCRResponse]) -> float:
start: Final = perf_counter_ns()
call()
return (perf_counter_ns() - start) / 1e6
async def _async_sample(call: Callable[[], Awaitable[OCRResponse]]) -> float:
start: Final = perf_counter_ns()
await call()
return (perf_counter_ns() - start) / 1e6
def sample_indices(invocation: Invocation, start_ns: int) -> Iterator[int]:
deadline: Final = start_ns + invocation.min_time * 1e9
for index in count():
if index >= invocation.iterations and perf_counter_ns() >= deadline:
return
yield index
def measure_sync(call: Callable[[], OCRResponse], invocation: Invocation) -> Timing:
if invocation.phase == "memory":
for _ in range(invocation.iterations):
call()
return Timing(latency_ms=(), cpu_ms=0, elapsed_ms=0)
cpu_start: Final = process_time_ns()
wall_start: Final = perf_counter_ns()
samples: Final = tuple(_sync_sample(call) for _ in sample_indices(invocation, wall_start))
elapsed: Final = perf_counter_ns() - wall_start
return Timing(latency_ms=samples, cpu_ms=(process_time_ns() - cpu_start) / 1e6, elapsed_ms=elapsed / 1e6)
async def measure_async(call: Callable[[], Awaitable[OCRResponse]], invocation: Invocation) -> Timing:
if invocation.phase == "memory":
for _ in range(invocation.iterations):
await call()
return Timing(latency_ms=(), cpu_ms=0, elapsed_ms=0)
cpu_start: Final = process_time_ns()
wall_start: Final = perf_counter_ns()
samples: Final = tuple([await _async_sample(call) for _ in sample_indices(invocation, wall_start)])
elapsed: Final = perf_counter_ns() - wall_start
return Timing(latency_ms=samples, cpu_ms=(process_time_ns() - cpu_start) / 1e6, elapsed_ms=elapsed / 1e6)
async def _run_async(call: Callable[[], Awaitable[OCRResponse]], invocation: Invocation, directory: Path) -> None:
for _ in range(invocation.warmup):
await call()
ready: Final = capture_ready(await call())
_handshake(ready, directory)
_finish(await measure_async(call, invocation), directory)
def run_worker(invocation: Invocation, directory: Path) -> None:
import litellm
kwargs: Final = {
"model": invocation.model,
"document": {"type": "document_url", "document_url": invocation.document_url},
"api_key": "benchmark-local-only",
"api_base": invocation.provider_url,
"timeout": 10,
"num_retries": 0,
}
if invocation.route == "aocr":
async_route: Final = cast(Callable[..., Awaitable[OCRResponse]], litellm.aocr)
asyncio.run(_run_async(lambda: async_route(**kwargs), invocation, directory))
return
sync_route: Final = cast(Callable[..., OCRResponse], litellm.ocr)
call: Final = lambda: sync_route(**kwargs)
for _ in range(invocation.warmup):
call()
ready: Final = capture_ready(call())
_handshake(ready, directory)
_finish(measure_sync(call, invocation), directory)
if __name__ == "__main__":
case_file: Final = Path(sys.argv[1])
run_worker(Invocation.model_validate_json(case_file.read_bytes()), case_file.parent)

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@ -0,0 +1,87 @@
from __future__ import annotations
import base64
import hashlib
import json
from dataclasses import dataclass
from typing import Final
from pydantic import JsonValue, TypeAdapter
from ...shared.parity.fixtures.store import read_fixture
from ...shared.parity.recorded_http import RecordedHttpResponse
from ..e2e_parity.sdk.ocr.fixtures.config import DEFAULT_FIXTURE_DIRECTORY
from ..e2e_parity.sdk.ocr.fixtures.models import OcrParityCase
from .models import Profile
SEED: Final = (
DEFAULT_FIXTURE_DIRECTORY / "mistral-ocr/7727f65058eebe0c68c2a9be97c4777f9a19a7c5a860f5953037e19690bc1154.yaml"
)
JSON_OBJECT: Final = TypeAdapter(dict[str, JsonValue])
JSON_PAGES: Final = TypeAdapter(tuple[dict[str, JsonValue], ...])
@dataclass(frozen=True, slots=True)
class Workload:
profile: Profile
model: str
document_url: str
document_bytes: int
response: bytes
response_pages: int
fixture_sha256: str
def profile_sizes(profile: Profile) -> tuple[int, int]:
match profile:
case "small":
return 32 * 1024, 1
case "request_medium":
return 256 * 1024, 1
case "request_large":
return 2 * 1024 * 1024, 1
case "response_medium":
return 32 * 1024, 16
case "response_large":
return 32 * 1024, 128
def padded_pdf(document: bytes, size: int) -> bytes:
prefix, marker, suffix = document.rpartition(b"startxref")
if (
not marker
or not suffix.rstrip().endswith(b"%%EOF")
or not document.startswith(b"%PDF-")
or size < len(document) + 3
):
raise ValueError("expected a PDF seed smaller than the requested document size")
return prefix + b"%" + b"x" * (size - len(document) - 2) + b"\n" + marker + suffix
def ocr_workload(profile: Profile) -> Workload:
seed: Final = read_fixture(SEED, OcrParityCase)
document: Final = seed.litellm_input.document
response: Final = seed.provider_responses[0]
if document.type != "document_url" or not isinstance(response, RecordedHttpResponse):
raise ValueError("OCR benchmark seed must contain an inline PDF and a non-streaming response")
if not document.document_url.startswith("data:application/pdf;base64,") or response.status_code != 200:
raise ValueError("OCR benchmark seed must be a successful inline PDF recording")
document_size, page_count = profile_sizes(profile)
pdf: Final = padded_pdf(base64.b64decode(document.document_url.split(",", 1)[1], validate=True), document_size)
body: Final = JSON_OBJECT.validate_json(response.body_bytes())
pages: Final = JSON_PAGES.validate_python(body["pages"])
usage: Final = JSON_OBJECT.validate_python(body["usage_info"])
scaled: Final = {
**body,
"pages": tuple({**pages[index % len(pages)], "index": index} for index in range(page_count)),
"usage_info": {**usage, "pages_processed": page_count, "doc_size_bytes": len(pdf)},
}
return Workload(
profile=profile,
model=seed.litellm_input.model,
document_url="data:application/pdf;base64," + base64.b64encode(pdf).decode("ascii"),
document_bytes=len(pdf),
response=json.dumps(scaled, separators=(",", ":"), ensure_ascii=False).encode(),
response_pages=page_count,
fixture_sha256=hashlib.sha256(SEED.read_bytes()).hexdigest(),
)

2
uv.lock generated
View file

@ -4531,6 +4531,7 @@ dev = [
{ name = "opentelemetry-instrumentation-fastapi" },
{ name = "opentelemetry-sdk" },
{ name = "parameterized" },
{ name = "psutil" },
{ name = "psycopg" },
{ name = "psycopg-binary" },
{ name = "pytest" },
@ -4720,6 +4721,7 @@ dev = [
{ name = "opentelemetry-instrumentation-fastapi", specifier = "==0.49b0" },
{ name = "opentelemetry-sdk", specifier = "==1.28.0" },
{ name = "parameterized", specifier = "==0.9.0" },
{ name = "psutil", specifier = "==7.2.2" },
{ name = "psycopg", specifier = "==3.3.3" },
{ name = "psycopg-binary", specifier = "==3.3.3" },
{ name = "pytest", specifier = "==9.0.3" },