docs: add Job Lifecycle & States guide - #105
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Explain the two-level state model (per-benchmark State + overall OverallState), aggregation rules, cancellation behaviour, terminal state immutability, and the absence of automatic retries. Includes a Mermaid state diagram, REST API / CLI / Python SDK status-check examples, and cross-links to the Kubernetes lifecycle signals and event violations pages.
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What and why
Add a Job Lifecycle & States guide covering how EvalHub tracks evaluation state at two levels: per-benchmark status and overall job status. This information was only in the source code, making it difficult for users to
understand job behaviour, state transitions, and what
partially_failedmeans.References:
eval-hub/eval-hubpkg/api/evaluations.go(State, OverallState, JobPhase), internal/eval_hub/storage/sql/evaluations_status.go` (aggregation rules, cancel cascade).Type
Testing
Verified locally:
npm run buildpasses (job-lifecycle page builds successfully)/guides/job-lifecycle/