▶
Comando ejecutado
2026-06-12 · 09:14:32
Terminal — Claude Code
$ claude code
/hub:run
--task "Reduce p50 latency of /api/v2/meal-plan/generate from 2340ms to <800ms"
--agents 3 --eval "pytest bench/bench_mealplan.py --json -q"
--metric p50_ms --direction lower --template optimizer
--agents 3 --eval "pytest bench/bench_mealplan.py --json -q"
--metric p50_ms --direction lower --template optimizer
🗺
Pipeline de ejecución
✓ Completado en 4m 38s
🔧
Init
0:04s
📊
Baseline
0:12s
🤖
Spawn ×3
3:41s
🏆
Eval
0:28s
🔀
Merge
0:13s
1
Inicialización de sesión
09:14:32 — 09:14:36
Session ID
hub-2026-0612-a4f2
Workspace
nutriflow-api/
Rama base
main @ 4c71bea
Template
optimizer
Agentes
3
Métrica
p50_ms (lower)
Eval cmd
pytest bench/bench_mealplan.py
Config
✓ Guardado
✓ .agenthub/sessions/hub-2026-0612-a4f2/config.yaml creado
·
✓ 3 ramas preparadas: agent-1, agent-2, agent-3
2
Baseline capturado
09:14:36 — 09:14:48
2.340
p50_ms · baseline
p502.340 ms
p753.120 ms
p955.890 ms
tests47 passed, 0 failed
$ pytest bench/bench_mealplan.py --json -q → p50_ms: 2340
3
Agentes en paralelo (×3) — Completados
09:14:48 — 09:18:29
Agent-2 branch: agent-2
Redis cache + DB índices + async USDA
612
ms p50
↓ −1728 ms (−73.8%)
+Cache Redis 5min en meal-plan key
+asyncio.gather para llamadas USDA
+Índice compuesto food_nutrients(user_id, date)
+Query N+1 → 1 JOIN con CTE
✓ 47 tests passed
0 regresiones
Agent-1 branch: agent-1
Query optimization + connection pool
980
ms p50
↓ −1360 ms (−58.1%)
+SQLAlchemy connection pool size 20
+Rewrite de queries con SELECT específico
+Índice parcial en food_nutrients
~Sin caché (scope no incluido)
✓ 47 tests passed
0 regresiones
Agent-3 branch: agent-3
In-memory LRU + batch prefetch
1.440
ms p50
↓ −900 ms (−38.5%)
+functools.lru_cache en nutrition lookup
✗Prefetch USDA con ThreadPoolExecutor
✗Race condition detectada en pool
~LRU invalida en multi-worker (Gunicorn)
✗ 3 tests failed
race condition
4
Evaluación y ranking
09:18:29 — 09:18:57
| # | Agente | p50_ms | Delta vs baseline | Mejora | Tests | Score |
|---|---|---|---|---|---|---|
| 1 | Agent-2 Redis + async + índices |
612 ms | −1728 ms | 47/47 | 9.8 / 10 | |
| 2 | Agent-1 Queries + pool |
980 ms | −1360 ms | 47/47 | 7.2 / 10 | |
| 3 | Agent-3 LRU + prefetch |
1.440 ms | −900 ms | 44/47 | 3.1 / 10 |
↗
Cambios clave — Agent-2 (ganador)
app/api/meal_plan.py
+42
−11
18 from app.db import get_session, food_nutrients
19+from app.cache import redis_client, cache_key
20+import asyncio, httpx
31 async def generate_meal_plan(user_id: int, prefs: MealPrefs):
32+ key = cache_key("meal_plan", user_id, prefs.hash())
33+ if cached := await redis_client.get(key): # hit → 612ms avg
34+ return MealPlan.parse_raw(cached)
40− nutrients = await db.execute(select(food_nutrients).where(...))
41− usda_data = await usda_api.fetch(nutrients.ids) # serial
40+ nutrients, usda_data = await asyncio.gather(
41+ db.execute(query_with_index()), # idx: user_id+date
42+ usda_api.fetch_batch(pref_ids), # parallel HTTP
43+ )
44+ await redis_client.setex(key, 300, plan.json())
5
Confirmación y merge
09:18:57 — 09:19:10
Agent-2 es el ganador — merge confirmado
Branch agent-2 fusionado en main via fast-forward. Commit: 8d3f92a · "perf: reduce meal-plan p50 from 2340ms to 612ms (hub-2026-0612-a4f2)"
✓ Mergeado
✓
Resultado final
612 ms
p50 final
meta: <800 ms ✓
−73.8%
reducción latencia
−1.728 ms absoluto
47/47
tests pasados
0 regresiones
4m 38s
tiempo total
3 agentes paralelos