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8f83046f6c
Plugin discovery imports every bundled platform plugin at model_tools
import time. The google_chat adapter unconditionally pulled in
google.cloud.pubsub_v1, googleapiclient, grpc, httplib2, and friends at
module top — about 33 MB RSS and 110 ms wall on every CLI invocation,
even ones that never construct a gateway adapter.
Wrap the heavy imports in _load_google_modules(): an idempotent loader
that rebinds the module-level globals (pubsub_v1, service_account,
HttpError, MediaFileUpload, …) on first call and is invoked from
GoogleChatAdapter.__init__, connect(), and check_google_chat_requirements().
The HttpError = Exception placeholder is preserved for the brief window
before the loader runs, so 'except HttpError as exc:' clauses stay
correct (Python looks up the name at try/except evaluation time, not
at function definition time).
Measured impact on a 9950X3D, 7-run medians:
import cli: 895 → 787 ms (-108 ms / -12%)
133 → 110 MB ( -23 MB / -17%)
import model_tools: 491 → 400 ms ( -91 ms / -19%)
95 → 66 MB ( -29 MB / -31%)
google_chat alone: 244 → 132 ms (-112 ms / -46%)
83 → 50 MB ( -33 MB / -40%)
hermes chat -q (cold): 177 → 145 MB ( -32 MB / -18%)
Real-world win lands on every path that imports cli.py: hermes chat,
hermes gateway, cron jobs, batch runs, subagents. Long-lived gateway
processes save ~30 MB resident.
All 157 google_chat tests pass; full gateway suite (5050 tests) green.
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| .. | ||
| context_engine | ||
| disk-cleanup | ||
| example-dashboard/dashboard | ||
| google_meet | ||
| hermes-achievements | ||
| image_gen | ||
| kanban | ||
| memory | ||
| model-providers | ||
| observability/langfuse | ||
| platforms | ||
| spotify | ||
| strike-freedom-cockpit | ||
| teams_pipeline | ||
| __init__.py | ||