> ## Documentation Index
> Fetch the complete documentation index at: https://docs.anonalabs.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Everything you know about one user

> Two calls turn scoped writes into a profile, and a question you can ask about that person alone.

[← All use cases](/use-cases/overview)

<div className="uc-examples"><a href="https://github.com/anonalabs/Anona-Memory-SDK/blob/main/examples/user_profiles.py">user\_profiles.py</a></div>

## The scenario

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.

## Step 1 — The profile, as data

```python theme={null}
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"])
```

## Step 2 — The same profile, as a prompt block

```python theme={null}
block = client.get_user_profile(
    space_id=space, user_id="priya", format="block", context_max_tokens=300
)
print(block["context"])
```

Budgeted server-side, so a heavy user cannot quietly blow your prompt.

## Step 3 — Ask a question about that person

```python theme={null}
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.

## Evals

1. Record three facts about one user, then read the profile. All three present.
2. Request the block form with a small budget and confirm it truncates by
   dropping whole memories, not mid-sentence.
3. Ask about a user nobody has written about. `memory_count` is 0 and that is
   **not an error** — a user is a scope tag, not a resource you register.

## Guardrails

<Warning>
  **`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.
</Warning>

* **A profile is personal data.** Whatever goes in is retrievable, exportable
  and — when someone asks — [deletable](/use-cases/delete-a-users-memories).
* **An unknown user returns an empty profile, not a 404.** Handle the empty
  case; do not treat it as a failure.

## The script

Complete and runnable:
[`user_profiles.py`](https://github.com/anonalabs/Anona-Memory-SDK/blob/main/examples/user_profiles.py).

Prerequisite: [Support agent that knows each customer](/use-cases/support-agent-per-customer).