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The shared AsyncPostgresSaver caches DB connections in a module-level pool. Cached connections are bound to the asyncio loop that opened them, but `run_async_celery_task` discards the loop on each task's exit — so after the first task the pool holds connections pointing to a dead loop, and the next automation hangs 30s before failing with `PoolTimeout: couldn't get a connection after 30.00 sec`. Swap agent_task to `InMemorySaver`; automation runs only need state within one Celery task, so nothing is lost. Site-local TODO tracks the proper future fix (dispose the checkpointer pool around each Celery task, mirroring `_dispose_shared_db_engine`). |
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| .. | ||
| actions | ||
| api | ||
| dispatch | ||
| persistence | ||
| runtime | ||
| schemas | ||
| services | ||
| tasks | ||
| templating | ||
| triggers | ||
| __init__.py | ||