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

# Determinism

> Same input, same answer - and the trail that proves it.

## Same input, same answer

Kviria's engine does not sample, rank by model opinion, or hedge. The
same anchor and the same words produce the same decision every time.
When your user asks the same question twice, your agent gives the same
answer twice - no drifting, no alternating between candidates.

## The evidence trail

Every response carries an `evidence` array: the tests that produced the
decision, each with a result and a machine-readable `reasonCode`.

```json theme={null}
"evidence": [
  { "test": "resolve", "result": "pass", "reasonCode": "single_survivor" }
]
```

The trail is an audit surface, not user-facing copy:

* **Debugging:** when an answer surprises you, the reason codes say why
  the gates decided the way they did.
* **Trust:** the coordinate your agent presents is backed by a trail it
  can show a skeptical integrator.
* Never render raw evidence to end users - your agent phrases the
  outcome.

## Honest failure

Determinism cuts both ways: when nothing matches, Kviria says
`notFound` - with the absent category when that is the useful fact  -
instead of inventing the closest plausible-sounding place. An agent
that never hallucinates a location is worth more than one that always
answers.

## Coverage

Kviria is in beta with coverage in San Francisco (approximately lat
37.70-37.84, lng -122.54 to -122.36). Outside that area every query
returns an honest `notFound`.