refactor(bench): share the GPU residency guard, and guard tool calling too
Extracts the residency snapshot/restore into scripts/ollama_residency.py so the two benchmarks cannot drift, and applies it to benchmark_tool_calling.py, which had no protection at all. That script was the more dangerous of the two. It rewrites OLLAMA_DEFAULT_MODEL in .env and lets uvicorn reload onto it, restoring the original only after the loop — so any crash or interrupt left the *running server* pointed at the benchmark model. Its DEFAULT_MODELS begins with mistral-nemo-large, the 9.2G model implicated in the 2026-08-07 VRAM outage. Both the .env restore and the residency restore now run from `finally`. SIGTERM is handled explicitly in the shared module. Python runs `finally` for SIGINT, which arrives as KeyboardInterrupt, but the default SIGTERM action terminates outright, so `timeout` or a plain `kill` skipped the guard entirely. Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
+30
-100
@@ -35,7 +35,6 @@ from __future__ import annotations
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import argparse
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import json
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import signal
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import statistics
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import sys
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import time
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@@ -49,6 +48,10 @@ PROJECT_ROOT = Path(__file__).resolve().parents[1]
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sys.path.insert(0, str(PROJECT_ROOT))
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from scripts.fixtures.routing_fixtures import FIXTURES # noqa: E402
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from scripts.ollama_residency import ( # noqa: E402
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install_sigterm_handler,
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residency_guard,
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)
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from src.agents.steward.agent import build_steward_prompt # noqa: E402
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from src.agents.steward.service import _DELEGATE_LINE_RE, _extract_capabilities # noqa: E402
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from src.core.startup import register_household_members # noqa: E402
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@@ -85,65 +88,6 @@ def call(client: httpx.Client, body: dict[str, Any]) -> dict[str, Any] | None:
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return None
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PINNED_THRESHOLD_SECONDS = 86400
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def snapshot_residency(client: httpx.Client) -> dict[str, bool]:
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"""Which models are resident, and which of those are pinned.
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Benchmarking swaps models on a GPU that production is using. Ollama evicts to
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make room, so a run silently unpins the model Tatlock serves from and leaves
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its own behind: the next voice turn then pays a ~36s cold load. Snapshot
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before, restore after.
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"""
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try:
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data = client.get(f"{OLLAMA_URL}/api/ps", timeout=10).json()
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except Exception: # noqa: BLE001
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return {}
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resident: dict[str, bool] = {}
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now = datetime.now(UTC)
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for model in data.get("models", []):
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expires = model.get("expires_at", "")
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pinned = False
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try:
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delta = datetime.fromisoformat(expires.replace("Z", "+00:00")) - now
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pinned = delta.total_seconds() > PINNED_THRESHOLD_SECONDS
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except ValueError:
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pass
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resident[model["name"]] = pinned
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return resident
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def set_keep_alive(client: httpx.Client, model: str, keep_alive: Any) -> bool:
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"""Load/unload/pin a model. Embedding models reject /api/generate."""
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payload = {"model": model, "keep_alive": keep_alive}
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for endpoint in ("generate", "embed"):
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try:
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response = client.post(f"{OLLAMA_URL}/api/{endpoint}", json=payload, timeout=180)
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if response.status_code == 200:
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return True
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if response.status_code == 400 and "does not support generate" in response.text:
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continue # embedding-only model; try /api/embed
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return False
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except Exception: # noqa: BLE001
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return False
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return False
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def restore_residency(client: httpx.Client, before: dict[str, bool], used: list[str]) -> None:
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"""Evict what the benchmark loaded, then re-pin what production had pinned."""
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base = {name.split(":")[0] for name in before}
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for model in used:
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if model not in before and model.split(":")[0] not in base:
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print(f" restoring: unloading benchmark model {model}")
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set_keep_alive(client, model, 0)
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for name, pinned in before.items():
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if pinned:
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ok = set_keep_alive(client, name, -1)
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print(f" restoring: re-pinned {name}" if ok
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else f" restoring: FAILED to re-pin {name} -- run warmup-ollama.sh")
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def score(fixture: dict, found: list[str]) -> dict[str, Any]:
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expected = set(fixture["expect"])
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forbidden = set(fixture["forbid"])
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@@ -218,20 +162,8 @@ def summarise(rows: list[dict[str, Any]]) -> dict[str, Any]:
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}
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def _raise_on_term(signum, _frame):
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"""Turn SIGTERM into an exception so the restore guard actually runs.
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Python runs `finally` for SIGINT, which arrives as KeyboardInterrupt, but the
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default SIGTERM action terminates the process outright — a `timeout`, a
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systemd stop or a plain `kill` would skip the restore and leave production
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unpinned. Verified the hard way: an earlier SIGTERM here bypassed the guard
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entirely and only luck kept the pinned model resident.
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"""
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raise KeyboardInterrupt(f"signal {signum}")
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def main() -> int:
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signal.signal(signal.SIGTERM, _raise_on_term)
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install_sigterm_handler()
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parser = argparse.ArgumentParser(description=__doc__)
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parser.add_argument("--models", default=",".join(DEFAULT_MODELS))
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@@ -253,32 +185,24 @@ def main() -> int:
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f"x {args.repeats} repeats = {len(FIXTURES) * len(models) * len(think_modes) * args.repeats} calls\n")
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cells: dict[str, Any] = {}
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with httpx.Client(timeout=args.timeout) as client:
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before = snapshot_residency(client)
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pinned_before = [n for n, p in before.items() if p]
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print(f"resident before: {sorted(before)}"
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f"{f' (pinned: {pinned_before})' if pinned_before else ''}\n")
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try:
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for model in models:
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# Absorb the cold load (~36s) outside the measurements.
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print(f"warming {model} ...", flush=True)
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call(client, build_body(model, "hi", "false"))
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for think in think_modes:
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key = f"{model}|think={think}"
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print(f" {key} ...", end=" ", flush=True)
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started = time.perf_counter()
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rows = run_cell(client, model, think, args.repeats)
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summary = summarise(rows)
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cells[key] = {"summary": summary, "rows": rows}
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print(f"exact={summary.get('exact_pct')}% "
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f"over={summary.get('over_routed_pct')}% "
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f"median={summary.get('latency_ms_median')}ms "
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f"({time.perf_counter() - started:.0f}s)")
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finally:
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# finally, not a tidy exit path: a Ctrl-C or a failed cell must not
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# leave production unpinned behind us.
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print("\nrestoring GPU residency ...")
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restore_residency(client, before, models)
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# The guard restores production's pinned models however this exits — a
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# finished run, a failed cell, Ctrl-C or SIGTERM.
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with residency_guard(models_used=models), httpx.Client(timeout=args.timeout) as client:
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for model in models:
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# Absorb the cold load (~36s) outside the measurements.
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print(f"warming {model} ...", flush=True)
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call(client, build_body(model, "hi", "false"))
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for think in think_modes:
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key = f"{model}|think={think}"
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print(f" {key} ...", end=" ", flush=True)
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started = time.perf_counter()
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rows = run_cell(client, model, think, args.repeats)
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summary = summarise(rows)
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cells[key] = {"summary": summary, "rows": rows}
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print(f"exact={summary.get('exact_pct')}% "
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f"over={summary.get('over_routed_pct')}% "
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f"median={summary.get('latency_ms_median')}ms "
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f"({time.perf_counter() - started:.0f}s)")
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RESULTS_DIR.mkdir(parents=True, exist_ok=True)
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stamp = datetime.now(UTC).strftime("%Y%m%dT%H%M%SZ")
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@@ -302,4 +226,10 @@ def main() -> int:
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if __name__ == "__main__":
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sys.exit(main())
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try:
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sys.exit(main())
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except KeyboardInterrupt:
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# The residency guard has already run by the time this is caught;
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# a traceback here would just bury its output.
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print("\ninterrupted", file=sys.stderr)
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sys.exit(130)
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@@ -17,12 +17,16 @@ import asyncio
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import json
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import re
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import statistics
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import sys
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import time
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from dataclasses import dataclass, field
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from pathlib import Path
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import httpx
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sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
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from scripts.ollama_residency import install_sigterm_handler, residency_guard
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# ---------------------------------------------------------------------------
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# Configuration
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# ---------------------------------------------------------------------------
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@@ -525,18 +529,31 @@ async def main():
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original_env = ENV_PATH.read_text()
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all_stats = []
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async with httpx.AsyncClient() as client:
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for model in models:
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stats = await benchmark_model(client, model, args.iterations)
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all_stats.append(stats)
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# Restore original .env
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ENV_PATH.write_text(original_env)
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print(f"\n .env restored to original")
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# Both restores must survive a crash or an interrupt. The .env one especially:
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# this script rewrites OLLAMA_DEFAULT_MODEL and lets uvicorn reload onto it,
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# so bailing out mid-run used to leave the *running server* pointed at the
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# benchmark model — and DEFAULT_MODELS starts at mistral-nemo-large, the 9.2G
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# model implicated in the 2026-08-07 VRAM outage.
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install_sigterm_handler()
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try:
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with residency_guard(models_used=models):
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async with httpx.AsyncClient() as client:
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for model in models:
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stats = await benchmark_model(client, model, args.iterations)
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all_stats.append(stats)
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finally:
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ENV_PATH.write_text(original_env)
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print("\n .env restored to original")
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print_comparison(all_stats)
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save_results(all_stats, Path(args.output))
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if __name__ == "__main__":
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asyncio.run(main())
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try:
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asyncio.run(main())
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except KeyboardInterrupt:
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# .env and GPU residency are both restored by now; do not bury that
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# output under a traceback.
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print("\ninterrupted", file=sys.stderr)
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raise SystemExit(130) from None
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@@ -0,0 +1,121 @@
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"""
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Guard production's GPU residency across a benchmark run.
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Benchmarks swap models on the card production is serving from. Ollama evicts to
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make room, so a run leaves its own models resident and the production one gone:
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the next voice turn pays a ~36s cold load, and the pin that prevented it is
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silently lost. That happened on 2026-08-08 — a routing benchmark evicted
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gemma4:e2b and left gemma4:e4b behind, and only the monitoring noticing
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`unexpected_models` caught it.
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Snapshot before, restore after, and wire the restore to SIGTERM as well as the
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normal path. Python runs `finally` for SIGINT, which arrives as
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KeyboardInterrupt, but the default SIGTERM action terminates outright — so
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`timeout`, a systemd stop or a plain `kill` would skip the guard entirely.
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from scripts.ollama_residency import residency_guard, install_sigterm_handler
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install_sigterm_handler()
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with residency_guard(models_used=["gemma4:e4b"]):
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...
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"""
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from __future__ import annotations
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import signal
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from collections.abc import Iterator
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from contextlib import contextmanager
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from datetime import UTC, datetime
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from typing import Any
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import httpx
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OLLAMA_URL = "http://localhost:11434"
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# keep_alive:-1 yields a year-2318 expiry, so "pinned" is simply "expires more
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# than a day out". Matches check-ai-pipeline.sh in system-admin-toj.
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PINNED_THRESHOLD_SECONDS = 86400
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def install_sigterm_handler() -> None:
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"""Make SIGTERM raise, so `finally` blocks and context managers still run."""
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def _raise(signum, _frame):
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raise KeyboardInterrupt(f"signal {signum}")
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signal.signal(signal.SIGTERM, _raise)
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def snapshot_residency(client: httpx.Client | None = None) -> dict[str, bool]:
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"""Resident models mapped to whether each is pinned."""
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owns = client is None
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client = client or httpx.Client(timeout=30)
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try:
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data = client.get(f"{OLLAMA_URL}/api/ps", timeout=10).json()
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except Exception: # noqa: BLE001 - a missing snapshot must not abort the run
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return {}
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finally:
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if owns:
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client.close()
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resident: dict[str, bool] = {}
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now = datetime.now(UTC)
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for model in data.get("models", []):
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pinned = False
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try:
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expires = datetime.fromisoformat(model.get("expires_at", "").replace("Z", "+00:00"))
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pinned = (expires - now).total_seconds() > PINNED_THRESHOLD_SECONDS
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except ValueError:
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pass
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resident[model["name"]] = pinned
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return resident
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def set_keep_alive(model: str, keep_alive: Any, client: httpx.Client | None = None) -> bool:
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"""Load, unload or pin a model. Embedding models reject /api/generate."""
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owns = client is None
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client = client or httpx.Client(timeout=180)
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payload = {"model": model, "keep_alive": keep_alive}
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try:
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for endpoint in ("generate", "embed"):
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try:
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response = client.post(f"{OLLAMA_URL}/api/{endpoint}", json=payload, timeout=180)
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except Exception: # noqa: BLE001
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return False
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if response.status_code == 200:
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return True
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if response.status_code == 400 and "does not support generate" in response.text:
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continue # embedding-only model; try /api/embed
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return False
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return False
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finally:
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if owns:
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client.close()
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def restore_residency(before: dict[str, bool], used: list[str]) -> None:
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"""Evict what the benchmark loaded, then re-pin what was pinned before."""
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base = {name.split(":")[0] for name in before}
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with httpx.Client(timeout=180) as client:
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for model in used:
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if model not in before and model.split(":")[0] not in base:
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print(f" residency: unloading benchmark model {model}")
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set_keep_alive(model, 0, client)
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for name, pinned in before.items():
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if not pinned:
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continue
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ok = set_keep_alive(name, -1, client)
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print(f" residency: re-pinned {name}" if ok
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else f" residency: FAILED to re-pin {name} -- run warmup-ollama.sh")
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@contextmanager
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def residency_guard(models_used: list[str]) -> Iterator[dict[str, bool]]:
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"""Snapshot residency on entry, restore it on exit however that happens."""
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before = snapshot_residency()
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pinned = [n for n, p in before.items() if p]
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print(f" residency: resident before {sorted(before)}"
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f"{f' (pinned: {pinned})' if pinned else ''}")
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try:
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yield before
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finally:
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print(" residency: restoring ...")
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restore_residency(before, models_used)
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Block a user