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

# Deterministic explanations

> Explain degraded state, scaling, rollouts, and cold starts from persisted evidence.

# Deterministic explanations

InferCrane explanations are projections of persisted state, events, decisions, policies, and measurements. They do not call an LLM and do not infer facts that were not recorded.

```console theme={"theme":{"light":"github-light-default","dark":"vesper"}}
infercrane explain qwen-prod
infercrane explain scaling qwen-prod
infercrane explain rollout qwen-prod
infercrane explain cold-start qwen-prod
```

The general explanation reports observed deployment state, unhealthy replica evidence, and the
active durable operation that is blocking convergence, including its persisted kind, status,
progress, message, and error code. Scaling explanations reproduce the latest persisted autoscaling
action, reason, signal snapshot, and evaluation timestamp. Rollout explanations reproduce the
Release Guard evaluation ID, active and candidate revisions, decision, reason codes, metric
snapshot, policy snapshot, and timestamp. Cold-start explanations use the provider-worker
observation and TTFT evidence described in [Cold-start intelligence](/features/cold-starts).

Every form supports `--output json`. Repeating an explanation against unchanged persisted state produces the same explanation code and evidence. If no evaluation exists, InferCrane says so instead of inventing a cause.