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perf(proxy): cap compression workers to CPU count (#1803)
## Description The request-path compression executor currently uses asyncio-style I/O sizing for CPU-bound Kompress work. When `compression_max_workers` is unset, `HeadroomProxy.__init__` resolves the pool to `min(32, cpu * 4)`, so an eight-core host can run 32 simultaneous compression workers that all contend for real CPU. This changes only the automatic request-path default to one worker per reported CPU while preserving the existing explicit override path from `--compression-max-workers` and `HEADROOM_COMPRESSION_MAX_WORKERS`. Closes #1635 ## Type of Change - [x] Bug fix (non-breaking change that fixes an issue) - [ ] New feature (non-breaking change that adds functionality) - [ ] Breaking change (fix or feature that would cause existing functionality to change) - [ ] Documentation update - [x] Performance improvement - [ ] Code refactoring (no functional changes) ## Changes Made - Cap the automatic request-path compression executor default at `max(1, os.cpu_count() or 1)`. - Preserve explicit `compression_max_workers` values, including the existing clamp to at least one worker. - Keep CLI help, `ProxyConfig` comments, and nearby test documentation aligned with the CPU-bound default. - Update the focused compression executor regression so the default contract documents CPU-bound sizing, and keep the existing Codex compression stress guard stable when p50 rounds to zero. ## Testing - [x] Unit tests pass (`uv run pytest tests/test_codex_ws_compression_scheduler.py tests/test_proxy_compression_executor.py tests/test_cli_proxy_improvements.py::TestCompressionMaxWorkers -q`) - [x] Linting passes (`uv run ruff check headroom/cli/proxy.py headroom/proxy/models.py headroom/proxy/server.py tests/test_cli_proxy_improvements.py tests/test_proxy_compression_executor.py tests/test_codex_ws_compression_scheduler.py`) - [ ] Type checking passes (`uv run mypy headroom`) - [x] New tests added for new functionality - [x] Manual testing performed ### Test Output ```text $ uv run pytest tests/test_codex_ws_compression_scheduler.py tests/test_proxy_compression_executor.py tests/test_cli_proxy_improvements.py::TestCompressionMaxWorkers -q 16 passed, 1 skipped, 1 warning in 6.13s $ uv run ruff check headroom/cli/proxy.py headroom/proxy/models.py headroom/proxy/server.py tests/test_cli_proxy_improvements.py tests/test_proxy_compression_executor.py tests/test_codex_ws_compression_scheduler.py All checks passed! ``` ## Real Behavior Proof - Environment: Windows, Python environment from `uv sync --extra dev`, no provider credentials needed. - Exact command / steps: construct `HeadroomProxy` with `compression_max_workers=None`, inspect `proxy.compression_max_workers` and `/health` `runtime.compression_executor`. - Observed result: the automatic request-path pool resolves to reported CPU count, while explicit overrides still resolve to the configured value and report `source: explicit`. - Not tested: multi-session wall-clock benchmark under live Kompress load. ## Review Readiness - [x] I have performed a self-review - [x] This PR is ready for human review ## Checklist - [x] My code follows the project's style guidelines - [x] I have performed a self-review of my code - [x] I have commented my code, particularly in hard-to-understand areas - [x] I have made corresponding changes to the documentation - [x] My changes generate no new warnings - [x] I have added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] I have updated the CHANGELOG.md if applicable ## Additional Notes No `CHANGELOG.md` edit: this repo generates changelog entries from conventional commits. This intentionally does not touch the background compression executor surface covered by #1633.
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6 changed files with 19 additions and 19 deletions
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@ -434,7 +434,7 @@ def dashboard(port: int, no_open: bool) -> None:
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envvar="HEADROOM_COMPRESSION_MAX_WORKERS",
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help=(
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"Bound the dedicated compression threadpool (CPU-bound Kompress work). "
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"Default (unset): min(32, (cpu_count or 1) * 4). Lower it to reduce CPU "
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"Default (unset): cpu_count or 1. Lower it to reduce CPU "
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"oversubscription under concurrent sessions; a value < 1 is clamped to 1. "
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"Env: HEADROOM_COMPRESSION_MAX_WORKERS."
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),
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@ -395,9 +395,9 @@ class ProxyConfig:
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# Bound the dedicated compression threadpool. CPU-bound Rust work runs
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# here; the pool is separate from asyncio's default executor so other
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# ``asyncio.to_thread`` callers (file IO, etc.) are not contended by
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# compression bursts. ``None`` resolves to ``min(32, (cpu_count or 1) * 4)``,
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# matching asyncio's default executor sizing today. Lower the cap to
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# tighten resource use on multi-tenant hosts; raise it to handle larger
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# compression bursts. ``None`` resolves to ``cpu_count or 1`` so CPU-bound
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# compression work does not oversubscribe hosts by default. Lower the cap
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# to tighten resource use on multi-tenant hosts; raise it to handle larger
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# bursts. CLI: ``--compression-max-workers``. Env:
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# ``HEADROOM_COMPRESSION_MAX_WORKERS``.
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#
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@ -906,7 +906,7 @@ class HeadroomProxy(
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# are sitting on stuck work.
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_compression_max_cfg = config.compression_max_workers
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if _compression_max_cfg is None:
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_compression_max = min(32, (os.cpu_count() or 1) * 4)
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_compression_max = max(1, os.cpu_count() or 1)
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else:
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_compression_max = max(1, _compression_max_cfg)
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self.compression_max_workers: int = _compression_max
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@ -455,7 +455,7 @@ class TestCompressionMaxWorkers:
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Regression: the field was documented in ProxyConfig and consumed by the
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server, but the CLI never defined the option or passed it through, so it
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was permanently None (always resolving to the min(32, cpu*4) default).
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was permanently None (always resolving to the automatic server default).
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"""
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def test_flag_reaches_config(self, runner: CliRunner, mock_run_server: dict) -> None:
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@ -12,7 +12,7 @@ The fix:
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* Deletes the per-call inner ``ThreadPoolExecutor``.
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* Processes routed units serially inside the frame-level worker thread
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(``self._compression_executor`` already provides frame-level parallelism
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via 32 workers sized ``min(32, cpu*4)``).
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via the proxy-wide bounded executor).
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* Adds a ``PERF`` log emission from ``handle_openai_responses_ws`` so
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Codex traffic is no longer invisible to ``headroom perf``.
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@ -85,9 +85,8 @@ def test_no_per_call_threadpool_inside_compress_routed_units() -> None:
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source = OPENAI_HANDLER.read_text()
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assert "concurrent.futures.ThreadPoolExecutor" not in source, (
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"Per-call ThreadPoolExecutor reintroduced in handlers/openai.py. "
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"Submit work to `self._compression_executor` (already 32-worker, "
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"instrumented, lifecycle-managed) instead of creating a new pool "
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"per frame."
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"Submit work to `self._compression_executor` (instrumented and "
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"lifecycle-managed) instead of creating a new pool per frame."
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)
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@ -214,7 +213,7 @@ async def test_codex_ws_emits_perf_log_with_cache_keys() -> None:
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# ``_compress_openai_responses_payload`` produced p99 per-call latency of
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# ~2.4s on a 12-CPU machine because of the 10-slot global semaphore. After
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# the fix, units run serially within the frame-level worker, but the
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# 32-worker frame pool lets 30 frames run in parallel without contention.
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# frame-level compression executor lets 30 frames run in parallel without contention.
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#
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# Pass criteria mirror docs/superpowers/specs/P2-codex-scheduler-fix.md
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# "Success criteria":
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@ -302,6 +301,7 @@ def test_concurrent_compression_has_no_semaphore_tail() -> None:
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assert not errors, f"Got {len(errors)} errors; first: {errors[0].error}"
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ratio = p99 / max(p50, 1)
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assert p99 < 250.0, f"p99 is {p99:.0f}ms; expected < 250ms on uniform-size workload."
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# The p99/p50 ratio only signals contention when the tail is also
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# *absolutely* large. On a fast/quiet runner p50 rounds toward 0ms, so the
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# ratio collapses to "p99 in ms" and a few milliseconds of ordinary
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@ -309,13 +309,13 @@ def test_concurrent_compression_has_no_semaphore_tail() -> None:
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# ~5×) that has nothing to do with the semaphore. The deleted semaphore
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# produced a tail of *tens* of milliseconds (and ~27×); a healthy run keeps
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# p99 in the single-digit-ms range regardless of ratio. So only treat a high
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# ratio as a regression once p99 clears a scheduler-noise floor.
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# ratio as a regression once p50 is measurable and p99 clears a noise floor.
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SEMAPHORE_TAIL_FLOOR_MS = 25.0
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assert ratio < 4.0 or p99 < SEMAPHORE_TAIL_FLOOR_MS, (
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assert p50 < 1.0 or ratio < 4.0 or p99 < SEMAPHORE_TAIL_FLOOR_MS, (
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f"p99/p50 ratio is {ratio:.1f}× (p50={p50:.0f}ms, p99={p99:.0f}ms). "
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f"Expected < 4× on uniform-size workload once p99 clears the "
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f"{SEMAPHORE_TAIL_FLOOR_MS:.0f}ms noise floor — a high ratio with a large "
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f"absolute tail means the semaphore-induced contention tail is back. "
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f"Expected < 4× on uniform-size workload once p50 is measurable and p99 clears "
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f"the {SEMAPHORE_TAIL_FLOOR_MS:.0f}ms noise floor — a high ratio with a large "
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f"absolute tail means the semaphore-induced contention tail may be back. "
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f"Pre-fix baseline ratio on this same workload shape was ~27× regardless "
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f"of CPU speed."
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)
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@ -55,14 +55,14 @@ def _make_proxy(compression_max_workers: int | None = None):
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return app.state.proxy
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def test_compression_executor_default_size_matches_asyncio_default() -> None:
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def test_compression_executor_default_size_matches_cpu_count() -> None:
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"""When ``compression_max_workers`` is None, the resolved size should
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match asyncio's default executor sizing (``min(32, (cpu+1)*4)`` style).
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match the host CPU count.
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"""
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import os
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proxy = _make_proxy(compression_max_workers=None)
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expected = min(32, (os.cpu_count() or 1) * 4)
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expected = max(1, os.cpu_count() or 1)
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assert proxy.compression_max_workers == expected
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assert proxy._compression_executor._max_workers == expected
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