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feat: add /debug/memory endpoints for production memory diagnostics
Temporary debug endpoints gated behind ENABLE_DEBUG=true env var: - GET /debug/memory -- RSS, tracemalloc top allocations, GC stats, object type counts - GET /debug/memory/snapshot -- take a tracemalloc baseline - GET /debug/memory/diff -- compare current allocations to baseline Uses only stdlib (tracemalloc, gc, resource). Returns 404 when disabled. Made-with: Cursor
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helpers/debug_memory.py

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"""
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Debug memory diagnostics -- temporary endpoints for production investigation.
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Gated behind ENABLE_DEBUG=true env var.
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Uses only stdlib: tracemalloc, gc, resource.
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"""
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import gc
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import linecache
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import resource
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import tracemalloc
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from collections import Counter
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from typing import Any
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_snapshot: tracemalloc.Snapshot | None = None
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def start_tracemalloc() -> None:
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if not tracemalloc.is_tracing():
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tracemalloc.start(25)
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def get_memory_info() -> dict[str, Any]:
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"""Current RSS, tracemalloc top allocations, GC stats, top object types."""
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rusage = resource.getrusage(resource.RUSAGE_SELF)
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rss_mb = rusage.ru_maxrss / (1024 * 1024) # macOS returns bytes, Linux returns KB
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import platform
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if platform.system() == "Linux":
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rss_mb = rusage.ru_maxrss / 1024
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result: dict[str, Any] = {
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"rss_max_mb": round(rss_mb, 2),
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"tracemalloc_tracing": tracemalloc.is_tracing(),
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}
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if tracemalloc.is_tracing():
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current, peak = tracemalloc.get_traced_memory()
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result["tracemalloc_current_mb"] = round(current / (1024 * 1024), 2)
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result["tracemalloc_peak_mb"] = round(peak / (1024 * 1024), 2)
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snapshot = tracemalloc.take_snapshot()
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snapshot = snapshot.filter_traces(
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(
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tracemalloc.Filter(False, "<frozen *>"),
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tracemalloc.Filter(False, "<unknown>"),
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tracemalloc.Filter(False, tracemalloc.__file__),
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)
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)
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top_stats = snapshot.statistics("lineno")[:20]
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result["top_allocations"] = [
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{
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"file": str(stat.traceback),
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"size_kb": round(stat.size / 1024, 1),
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"count": stat.count,
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}
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for stat in top_stats
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]
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gc_stats = gc.get_stats()
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result["gc"] = {
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"generations": gc_stats,
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"garbage_count": len(gc.garbage),
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}
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type_counts = Counter(type(obj).__name__ for obj in gc.get_objects())
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result["top_object_types"] = type_counts.most_common(25)
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return result
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def take_snapshot() -> dict[str, str]:
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"""Take a tracemalloc snapshot as baseline for future diffs."""
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global _snapshot
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if not tracemalloc.is_tracing():
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return {"error": "tracemalloc is not tracing, set ENABLE_DEBUG=true"}
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_snapshot = tracemalloc.take_snapshot()
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_snapshot = _snapshot.filter_traces(
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(
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tracemalloc.Filter(False, "<frozen *>"),
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tracemalloc.Filter(False, "<unknown>"),
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)
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)
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return {"status": "snapshot taken"}
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def get_diff() -> dict[str, Any]:
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"""Compare current allocations to the last snapshot."""
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global _snapshot
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if _snapshot is None:
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return {"error": "no baseline snapshot -- call /debug/memory/snapshot first"}
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if not tracemalloc.is_tracing():
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return {"error": "tracemalloc is not tracing"}
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current = tracemalloc.take_snapshot()
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current = current.filter_traces(
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(
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tracemalloc.Filter(False, "<frozen *>"),
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tracemalloc.Filter(False, "<unknown>"),
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)
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)
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diff_stats = current.compare_to(_snapshot, "lineno")[:30]
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# Clear linecache to avoid stale data
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linecache.clearcache()
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return {
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"diff_since_snapshot": [
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{
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"file": str(stat.traceback),
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"size_diff_kb": round(stat.size_diff / 1024, 1),
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"size_kb": round(stat.size / 1024, 1),
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"count_diff": stat.count_diff,
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"count": stat.count,
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}
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for stat in diff_stats
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if stat.size_diff > 0
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]
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}

main.py

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from helpers.sentry import init_sentry
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from tools import register_tools
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ENABLE_DEBUG = True
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if ENABLE_DEBUG:
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from helpers.debug_memory import (
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get_diff,
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get_memory_info,
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start_tracemalloc,
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take_snapshot,
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)
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start_tracemalloc()
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init_sentry()
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SERVER_START_TIME = datetime.now(timezone.utc)
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await send({"type": "http.response.body", "body": body})
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return
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if ENABLE_DEBUG and path.startswith("/debug/memory"):
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if path == "/debug/memory":
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data = get_memory_info()
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elif path == "/debug/memory/snapshot":
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data = take_snapshot()
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elif path == "/debug/memory/diff":
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data = get_diff()
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else:
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data = {"error": "unknown debug endpoint"}
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body = json.dumps(data, default=str).encode("utf-8")
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headers = [
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(b"content-type", b"application/json"),
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(b"content-length", str(len(body)).encode("utf-8")),
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]
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await send(
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{"type": "http.response.start", "status": 200, "headers": headers}
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)
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await send({"type": "http.response.body", "body": body})
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return
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# Matomo Tracking for /mcp requests
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# Convert ASGI headers list to a dictionary for the helper
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headers_dict: dict[str, str] = {

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