Once writes are scoped per user, the scope is worth more than isolation. It is a
profile — and two calls turn it into product features without you assembling
anything.
profile = client.get_user_profile(space_id=space, user_id="priya")print(profile["memory_count"], "things known")for m in profile["memories"]: print(m["text"])
answer = client.ask_about_user( space_id=space, user_id="priya", query="How should we schedule a call with her?")print(answer["insights"])print("answered by:", answer["model"])
The response names the model that answered — which is what the call’s credits
were billed at, so it is worth logging rather than discarding.
memory_count is non-monotonic. Consolidation merges related memories, so
the number can fall while the system knows strictly more. Never show it to an
end user as “things we know about you”, and never alert on it dropping.
A profile is personal data. Whatever goes in is retrievable, exportable
and — when someone asks — deletable.
An unknown user returns an empty profile, not a 404. Handle the empty
case; do not treat it as a failure.
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