Phase 4: vector retrieval, branching, drawer polish #6

Merged
dohertj2 merged 41 commits from phase-4 into main 2026-04-27 04:10:26 -04:00
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@@ -16,6 +16,7 @@ from chat.db.migrate import apply_migrations
from chat.eventlog.log import read_events
from chat.eventlog.projector import apply_event
from chat.services.background import BackgroundWorker
from chat.services.embedding_worker import EmbeddingWorker
from chat.services.snapshot import latest_snapshot_path, restore_from_snapshot
# Trigger handler registration:
@@ -85,9 +86,23 @@ async def lifespan(app: FastAPI):
await worker.start()
app.state.background_worker = worker
# T97: separate worker for the async embedding pass. Each
# ``memory_written`` enqueues an EmbeddingJob; the worker drains the
# queue, calls ``generate_embedding``, and emits ``embedding_indexed``.
# Phase 4's pseudo-embedding path is local so the worker doesn't need
# an LLM client; we still pass one so the Phase 4.5 swap to a real
# model is a one-line change.
embedding_worker = EmbeddingWorker(
conn_factory=lambda: open_db(settings.db_path),
client=_factory(),
)
await embedding_worker.start()
app.state.embedding_worker = embedding_worker
try:
yield
finally:
await embedding_worker.stop()
await worker.stop()