# Architecture
`kotlinx-schema` is a layered library that generates schemas—primarily JSON Schema—from Kotlin declarations
and Java classes. It unifies compile-time analysis (KSP) and runtime inspection (reflection) by translating
both into a shared Internal Representation (IR).
The architecture is modular by design, so you can plug in new schema formats and generation strategies while
keeping behavior consistent across JVM, JS, Native, and Wasm.
**Architecture goals:**
- **Unified IR**: Separate schema sources (KSP, reflection, or [SerialDescriptor][kser-descriptor]) from output targets
- **Multiplatform (KSP)**: Support schema generation across all Kotlin targets.
- **Extensibility**: Enable third-party annotations, custom introspectors and transformations.
- **Zero runtime overhead on KSP**: Compile-time generation for performance-sensitive paths.
- **Third-party support**: Generate schemas for types you don't own without editing their source.
## Overview
The library implements the following pipeline:
```mermaid
graph LR
subgraph Sources["📦 SOURCES"]
Kotlin["Kotlin Classes
@Schema annotated"]
KSerializer["SerialDescriptor"]
Java["Java Classes
Third-party libs"]
Functions["Kotlin Functions"]
end
subgraph Introspectors["🔍 Stage 1: INTROSPECTORS"]
KSP["KspSchemaIntrospector
compile-time"]
Reflect["ReflectionSchemaIntrospector
runtime"]
Serialization["SerializationClassSchemaIntrospector
runtime"]
end
subgraph IR["🧬 INTERNAL REPRESENTATION"]
TypeGraph["TypeGraph
Unified intermediate format
Properties • Types • Descriptions
Nullable • Defaults"]
end
subgraph Transformers["⚙️ TRANSFORMERS"]
JsonTransform["JsonSchemaTransformer
Draft 2020-12"]
FuncTransform["FunctionCallingTransformer
(OpenAI/Anthropic format)"]
end
subgraph Output["📄 SCHEMA OUTPUTS"]
KtClass["Generated .kt
MyClass::class.jsonSchema
MyClass::class.jsonSchemaString"]
KtFunc["Generated .kt
myMethodJsonSchema()
myMethodJsonSchemaString()"]
JsonSchema["JsonSchema
(@Serializable)"]
JsonObj["JsonObject
kotlinx.serialization"]
JsonStr["JSON String
Serialized schema"]
FuncSchema["FunctionCallingSchema
(@Serializable)"]
end
Kotlin --> KSP
KSerializer --> Serialization
Java --> Reflect
Functions --> KSP
Functions --> Reflect
KSP --> TypeGraph
Reflect --> TypeGraph
Serialization --> TypeGraph
TypeGraph --> JsonTransform
TypeGraph --> FuncTransform
JsonTransform --> JsonSchema
FuncTransform --> FuncSchema
JsonSchema --> JsonObj
FuncSchema --> KtFunc
JsonObj --> JsonStr
JsonObj --> KtClass
classDef sourceStyle fill:#e3f2fd,stroke:#1565c0,stroke-width:3px,color:#000
classDef introspectorStyle fill:#fff3e0,stroke:#ef6c00,stroke-width:3px,color:#000
classDef irStyle fill:#fce4ec,stroke:#c2185b,stroke-width:4px,color:#000
classDef transformStyle fill:#f3e5f5,stroke:#7b1fa2,stroke-width:3px,color:#000
classDef outputStyle fill:#e8f5e9,stroke:#2e7d32,stroke-width:3px,color:#000
class Kotlin,Java,Functions,KSerializer sourceStyle
class KSP,Reflect,Serialization introspectorStyle
class TypeGraph irStyle
class JsonTransform,FuncTransform transformStyle
class KtClass,KtFunc,JsonSchema,FuncSchema,JsonObj,JsonStr outputStyle
```
**The Transformation Story:**
1. **Sources** — Kotlin classes, Java classes, Kotlin functions, or [SerialDescriptor][kser-descriptor] serve as input
2. **Introspectors** — Extract type information at compile-time (KSP) or runtime (Reflection, Serialization)
3. **TypeGraph** — Unified internal representation containing all type metadata
4. **Transformers** — Convert TypeGraph to JSON Schema or Function Calling format
5. **Outputs** — Generated Kotlin code, JsonSchema, FunctionCallingSchema, and then to JsonObject, or JSON strings
## Module Dependencies
```mermaid
C4Context
title kotlinx-schema
Boundary(lib, "kotlinx-schema") {
System(kxsGenCore, "kotlinx-schema-generator-core")
System(kxsAnnotations, "kotlinx-schema-annotations")
System(kxsGenJson, "kotlinx-schema-generator-json")
System(kxsJsn, "kotlinx-schema-json")
System(kxsKsp, "kotlinx-schema-ksp")
System(kxsGradle, "kotlinx-schema-gradle-plugin")
}
Rel(kxsGenJson, kxsGenCore, "uses")
Rel(kxsGenJson, kxsJsn, "uses")
Rel(kxsGenCore, kxsAnnotations, "knows")
Rel(kxsKsp, kxsGenJson, "uses")
Rel(kxsGradle, kxsKsp, "uses")
Boundary(userCode, "User's Application Code") {
System_Ext(userModels, "User Domain Models")
System_Ext(userModelsExt, "User Models Extensions")
Rel(userModelsExt, userModels, "uses")
}
Rel(userModels, kxsAnnotations, "uses")
Rel(kxsKsp, userModelsExt, "generates")
```
Top-level modules you might interact with:
- **kotlinx-schema-annotations** — runtime annotations: @Schema and @Description
- **kotlinx-schema-json** — type-safe models and DSL for building JSON Schema definitions programmatically
- **kotlinx-schema-generator-core** — internal representation (IR) for schema descriptions, introspection utils,
generator interfaces
- **kotlinx-schema-generator-json** — JSON Schema transformer from the IR, kotlinx-serialization schema generator
- **kotlinx-schema-ksp** — KSP processor that scans your code and generates the extension properties:
- `KClass.jsonSchema: JsonObject`
- `KClass.jsonSchemaString: String`
- **kotlinx-schema-gradle-plugin** — Gradle plugin (id: "org.jetbrains.kotlinx.schema.ksp") that:
- Applies KSP automatically
- Adds the KSP processor dependency
- Wires generated sources into your source sets
- Sets up multiplatform task dependencies
- **gradle-plugin-integration-tests** — Independent build that includes the main project; demonstrates real MPP usage
and integration testing
- **ksp-integration-tests** — KSP end‑to‑end tests for generation without the Gradle plugin
### Workflow
```mermaid
sequenceDiagram
actor C as Client
participant S as SchemaGeneratorService
participant G as SchemaGenerator
participant I as SchemaIntrospector
participant T as TypeGraphTransformer
note over T: has Config
C ->> S: getGenerator(T::class, R::class)
S -->> G: find
activate G
S -->> C: SchemaGenerator
C ->> G: generate(T) : R?
G ->> I: introspect(T)
I -->> G: TypeGraph
G ->> T: transform(TypeGraph, rootName)
T -->> G: schema (R)
G -->> C: schema (R)
deactivate G
```
1. _Client_ (KSP Processor or Java class) calls _SchemaGeneratorService_ to lookup _SchemaGenerator_
by target type T and expected schema class. _SchemaGeneratorService_ returns _SchemaGenerator_, if any.
2. _Client_ (KSP Processor or Java class) calls _SchemaGenerator_ to generate a Schema string representation,
and, optionally, object a Schema string representation.
3. SchemaGenerator invokes SchemaIntrospector to convert an object into _TypeGraph_
4. _TypeGraphTransformer_ converts a _TypeGraph_ to a target representation (e.g., JSON Schema)
with respect to respecting _Config_ object and returns it to SchemaGenerator
[kser-descriptor]: https://kotlinlang.org/api/kotlinx.serialization/kotlinx-serialization-core/kotlinx.serialization.descriptors/-serial-descriptor/