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= Getting started: building a service (Preview)
= Getting started: building a service
:description: Getting started with the service module
:doctype: book
:sectnums:
Expand All @@ -14,8 +14,6 @@ Timefold Solver takes care of the rest.
There is no need to wire up a solver manually, manage thread pools, or implement REST endpoints by hand.
The service exposes a ready-to-use REST API automatically and supports our recommended optimization architecture.

IMPORTANT: This is a preview feature subject to change.

[sectnums!]
include::../shared/_whatyoubuild.adoc[]

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[#serviceWeightOverrides]
== Applying overrides

include::_preview-note.adoc[]

Constraint weights are always an interpretation by the modeler.
It might be that the consumer of the model would like to see the constraints weighed differently.
`ModelConfigOverrides` allows consumers of a model to tailor constraint weights to their use case.
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Providing example datasets is a good way to help consumers understand the expected input of your model.
This page describes how to provide dedicated support for exposing demo data.

include::_preview-note.adoc[]

// TODO To be simplified with: https://github.com/TimefoldAI/timefold-solver-enterprise/issues/630
== Generating demo data

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Timefold Solver provides a mechanism to collect metrics about both the input submitted to the solver and the output it produces.
These metrics are automatically exposed through the xref:./rest-api.adoc[REST API] alongside the optimization result, making it straightforward to build dashboards, monitoring screens, and insights views on top of them, without any additional endpoints or custom logic.

include::_preview-note.adoc[]

[#modelInputMetrics]
== Input metrics

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:sectnums:
:icons: font

include::_preview-note.adoc[]

[#solverModelEnrichment]
== SolverModel enrichment

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