A library containing Swift types that encode to- and decode from OpenAPI 3.0.x and OpenAPI 3.1.x Documents and their components.
OpenAPIKit follows semantic versioning despite the fact that the OpenAPI specificaiton does not. The following chart shows which OpenAPI specification versions and key features are supported by which OpenAPIKit versions.
OpenAPIKit | Swift | OpenAPI v3.0 | OpenAPI v3.1 | External Dereferencing & Sendable |
---|---|---|---|---|
v2.x | 5.1+ | âś… | ||
v3.x | 5.1+ | âś… | âś… | |
v4.x | 5.8+ | âś… | âś… | âś… |
- Usage
- Curated Integrations
- Notes
- Contributing
- Security
- Specification Coverage & Type Reference
If you are migrating from OpenAPIKit 1.x to OpenAPIKit 2.x, check out the v2 migration guide.
If you are migrating from OpenAPIKit 2.x to OpenAPIKit 3.x, check out the v3 migration guide.
You will need to start being explicit about which of the two new modules you want to use in your project: OpenAPIKit
(now supports OpenAPI spec v3.1) and/or OpenAPIKit30
(continues to support OpenAPI spec v3.0 like the previous versions of OpenAPIKit did).
In package manifests, dependencies will be one of:
// v3.0 of spec:
dependencies: [.product(name: "OpenAPIKit30", package: "OpenAPIKit")]
// v3.1 of spec:
dependencies: [.product(name: "OpenAPIKit", package: "OpenAPIKit")]
Your imports need to be specific as well:
// v3.0 of spec:
import OpenAPIKit30
// v3.1 of spec:
import OpenAPIKit
It is recommended that you build your project against the OpenAPIKit
module and only use OpenAPIKit30
to support reading OpenAPI 3.0.x documents in and then converting them to OpenAPI 3.1.x documents. The situation not supported yet by this strategy is where you need to write out an OpenAPI 3.0.x document (as opposed to 3.1.x). That is a planned feature but it has not yet been implemented. If your use-case benefits from reading in an OpenAPI 3.0.x document and also writing out an OpenAPI 3.0.x document then you can operate entirely against the OpenAPIKit30
module.
If you are migrating from OpenAPIKit 3.x to OpenAPIKit 4.x, check out the v4 migration guide.
Most documentation will focus on what it looks like to work with the OpenAPIKit
module and OpenAPI 3.1.x documents. If you need to support OpenAPI 3.0.x documents, take a look at the section on supporting OpenAPI 3.0.x documents before you get too deep into this library's docs.
You can decode a JSON OpenAPI document (i.e. using the JSONDecoder
from Foundation library) or a YAML OpenAPI document (i.e. using the YAMLDecoder
from the Yams library) with the following code:
import OpenAPIKit
let decoder = ... // JSONDecoder() or YAMLDecoder()
let openAPIDoc = try decoder.decode(OpenAPI.Document.self, from: ...)
You can wrap any error you get back from a decoder in OpenAPI.Error
to get a friendlier human-readable description from localizedDescription
.
do {
try decoder.decode(OpenAPI.Document.self, from: ...)
} catch let error {
print(OpenAPI.Error(from: error).localizedDescription)
}
You can encode a JSON OpenAPI document (i.e. using the JSONEncoder
from the Foundation library) or a YAML OpenAPI document (i.e. using the YAMLEncoder
from the Yams library) with the following code:
let openAPIDoc: OpenAPI.Document = ...
let encoder = ... // JSONEncoder() or YAMLEncoder()
let encodedOpenAPIDoc = try encoder.encode(openAPIDoc)
Thanks to Swift's type system, the vast majority of the OpenAPI Specification is represented by the types of OpenAPIKit -- you cannot create bad OpenAPI docuements in the first place and decoding a document will fail with generally useful errors.
That being said, there are a small number of additional checks that you can perform to really put any concerns to rest.
let openAPIDoc: OpenAPI.Document = ...
// perform additional validations on the document:
try openAPIDoc.validate()
You can use this same validation system to dig arbitrarily deep into an OpenAPI Document and assert things that the OpenAPI Specification does not actually mandate. For more on validation, see the OpenAPIKit Validation Documentation.
If you need to operate on OpenAPI 3.0.x documents and only 3.0.x documents, you can use the OpenAPIKit30
module throughout your code.
However, if you need to operate on both OpenAPI 3.0.x and 3.1.x documents, the recommendation is to use the OpenAPIKit compatibility layer to read in a 3.0.x document and convert it to a 3.1.x document so that you can use just the one set of Swift types throughout most of your program. An example of that follows.
In this example, only one file in the whole project needs to import OpenAPIKit30
or OpenAPIKitCompat
. Every other file would just import OpenAPIKit
and work with the document in the 3.1.x format.
// import OpenAPIKit30 for OpenAPI 3.0 document support
import OpenAPIKit30
// import OpenAPIKit for OpenAPI 3.1 document support
import OpenAPIKit
// import OpenAPIKitCompat to convert between the versions
import OpenAPIKitCompat
// if most of your project just works with OpenAPI v3.1, most files only need to import OpenAPIKit.
// Only in the file where you are supporting converting from OpenAPI v3.0 to v3.1 do you need the
// other two imports.
// we can support either version by attempting to parse an old version and then a new version if the old version fails
let oldDoc: OpenAPIKit30.OpenAPI.Document?
let newDoc: OpenAPIKit.OpenAPI.Document
oldDoc = try? JSONDecoder().decode(OpenAPI.Document.self, from: someFileData)
newDoc = oldDoc?.convert(to: .v3_1_1) ??
(try! JSONDecoder().decode(OpenAPI.Document.self, from: someFileData))
// ^ Here we simply fall-back to 3.1.x if loading as 3.0.x failed. You could do a more
// graceful job of this by determining up front which version to attempt to load or by
// holding onto errors for each decode attempt so you can tell the user why the document
// failed to decode as neither 3.0.x nor 3.1.x if it fails in both cases.
The Foundation library's JSONEncoder
and JSONDecoder
do not make any guarantees about the ordering of keyed containers. This means decoding a JSON OpenAPI Document and then encoding again might result in the document's various hashed structures being in a different order.
If retaining order is important for your use-case, I recommend the Yams and FineJSON libraries for YAML and JSON respectively. Also keep in mind that JSON is entirely valid YAML and therefore you will likely get good results from Yams decoding of JSON as well (it just won't encode as valid JSON).
The Foundation JSON encoding and decoding will be the most stable and battle-tested option with Yams as a pretty well established and stable option as well. FineJSON is lesser used (to my knowledge) but I have had success with it in the past.
The types used by this library largely mirror the object definitions found in the OpenAPI specification version 3.1.1 (OpenAPIKit
module) and version 3.0.4 (OpenAPIKit30
module). The Project Status lists each object defined by the spec and the name of the respective type in this library. The project status page currently focuses on OpenAPI 3.1.x but for the purposes of determining what things are named and what is supported you can mostly infer the status of the OpenAPI 3.0.x support as well.
At the root there is an OpenAPI.Document
. In addition to some information that applies to the entire API, the document contains OpenAPI.Components
(essentially a dictionary of reusable components that can be referenced with JSONReferences
and OpenAPI.References
) and an OpenAPI.PathItem.Map
(a dictionary of routes your API defines).
Each route is an entry in the document's OpenAPI.PathItem.Map
. The keys of this dictionary are the paths for each route (i.e. /widgets
). The values of this dictionary are OpenAPI.PathItems
which define any combination of endpoints (i.e. GET
, POST
, PATCH
, etc.) that the given route supports. In addition to accessing endpoints on a path item under the name of the method (.get
, .post
, etc.), you can get an array of pairs matching endpoint methods to operations with the .endpoints
method on PathItem
.
Each endpoint on a route is defined by an OpenAPI.Operation
. Among other things, this operation can specify the parameters (path, query, header, etc.), request body, and response bodies/codes supported by the given endpoint.
Request and response bodies can be defined in great detail using OpenAPI's derivative of the JSON Schema specification. This library uses the JSONSchema
type for such schema definitions.
Fundamental types are specified as JSONSchema.integer
, JSONSchema.string
, JSONSchema.boolean
, etc.
Schema attributes are given as arguments to static constructors. By default, schemas are non-nullable, required, and generic. The below examples are not comprehensive and you can pass any number of the optional attributes to the static constructors as arguments.
A schema can be made optional (i.e. it can be omitted) with JSONSchema.integer(required: false)
or an existing schema can be asked for an optionalSchemaObject()
.
A schema can be made nullable with JSONSchema.number(nullable: true)
or an existing schema can be asked for a nullableSchemaObject()
.
Nullability highlights an important decision OpenAPIKit makes. The JSON Schema specification that dictates how OpenAPI v3.1 documents encode nullability states that a nullable property is encoded as having the null
type in addition to whatever other type(s) it has. So in OpenAPIKit you set nullability
as a property of a schema, but when encoded/decoded it will represent the inclusion of absence of null
in the list of type
s of the schema. If you are using the OpenAPIKit30
module then nullability is encoded as a nullable
property per the OpenAPI 3.0.x specification.
Some types of schemas can be further specialized with a format. For example, JSONSchema.number(format: .double)
or JSONSchema.string(format: .dateTime)
.
You can specify a schema's allowed values (e.g. for an enumerated type) with JSONSchema.string(allowedValues: "hello", "world")
.
Each type of schema has its own additional set of properties that can be specified. For example, integers can have a minimum value: JSONSchema.integer(minimum: (0, exclusive: true))
. exclusive: true
in this context means the number must be strictly greater than 0 whereas exclusive: false
means the number must be greater-than or equal-to 0.
Compound objects can be built with JSONSchema.array
, JSONSchema.object
, JSONSchema.all(of:)
, etc.
For example, perhaps a person is represented by the schema:
JSONSchema.object(
title: "Person",
properties: [
"first_name": .string(minLength: 2),
"last_name": .string(nullable: true),
"age": .integer,
"favorite_color": .string(allowedValues: "red", "green", "blue")
]
)
Take a look at the OpenAPIKit Schema Object documentation for more information.
The OpenAPI.Reference
type represents the OpenAPI specification's reference support that is essentially just JSON Reference specification compliant but with the ability to override summaries and descriptions at the reference site where appropriate.
For details on the underlying reference support, see the next section on the JSONReference
type.
The JSONReference
type allows you to work with OpenAPIDocuments that store some of their information in the shared Components Object dictionary or even external files. Only documents where all references point to the Components Object can be dereferenced currently, but you can encode and decode all references.
You can create an external reference with JSONReference.external(URL)
. Internal references usually refer to an object in the Components Object dictionary and are constructed with JSONReference.component(named:)
. If you need to refer to something in the current file but not in the Components Object, you can use JSONReference.internal(path:)
.
You can check whether a given JSONReference
exists in the Components Object with document.components.contains()
. You can access a referenced object in the Components Object with document.components[reference]
.
References can be created from the Components Object with document.components.reference(named:ofType:)
. This method will throw an error if the given component does not exist in the ComponentsObject.
You can use document.components.lookup()
or the Components
type's subscript
to turn an Either
containing either a reference or a component into an optional value of that component's type (having either pulled it out of the Either
or looked it up in the Components Object). The lookup()
method throws when it can't find an item whereas subscript
returns nil
.
For example,
let apiDoc: OpenAPI.Document = ...
let addBooksPath = apiDoc.paths["/cloudloading/addBook"]
let addBooksParameters: [OpenAPI.Parameter]? = addBooksPath?.parameters.compactMap { apiDoc.components[$0] }
Note that this looks a component up in the Components Object but it does not transform it into an entirely derefernced object in the same way as is described below in the Dereferencing & Resolving section.
In the OpenAPI specifcation, a security requirement (like can be found on the root Document or on Operations) is a dictionary where each key is the name of a security scheme found in the Components Object and each value is an array of applicable scopes (which is of course only a non-empty array when the security scheme type is one for which "scopes" are relevant).
OpenAPIKit defines the SecurityRequirement
typealias as a dictionary with JSONReference
keys; These references point to the Components Object and provide a slightly stronger contract than the String values required by the OpenAPI specification. Naturally, these are encoded to JSON/YAML as String values rather than JSON References to maintain compliance with the OpenAPI Specification.
To give an example, let's say you want to describe OAuth 2.0 authentication via the implicit flow. First, define a Security Scheme:
let oauthScheme = OpenAPI.SecurityScheme.oauth2(
flows: .init(
implicit: .init(
authorizationUrl: URL(string: "https://my-api.com/oauth2/auth")!,
scopes: ["read:widget": "read widget"]
)
)
)
Next, store it in your OpenAPI document's Components Object (which likely has other entries but we'll only specify the security schemes for this example):
let components = OpenAPI.Components(
securitySchemes: ["implicit-oauth": oauthScheme]
)
Finally, your OpenAPI Document should use the Components Object we just created and also reference the OAuth implicit scheme via an internal JSON reference:
let document = OpenAPI.Document(
info: .init(title: "API", version: "1.0"),
servers: [],
paths: [:],
components: components,
security: [[.component( named: "implicit-oauth"): ["read:widget"]]]
)
If your API supports multiple alternative authentication strategies (only one of which needs to be used), you might have additional entries in your Document's Security array:
let document = OpenAPI.Document(
info: .init(title: "API", version: "1.0"),
servers: [],
paths: [:],
components: components,
security: [
[.component( named: "implicit-oauth"): ["read:widget"]],
[.component( named: "auth-code-oauth"): ["read:widget"]]
]
)
Many OpenAPIKit types support Specification Extensions. As described in the OpenAPI Specification, these extensions must be objects that are keyed with the prefix "x-". For example, a property named "specialProperty" on the root OpenAPI Object (OpenAPI.Document
) is invalid but the property "x-specialProperty" is a valid specification extension.
You can get or set specification extensions via the vendorExtensions
property on any object that supports this feature. The keys are Strings
beginning with the aforementioned "x-" prefix and the values are AnyCodable
. If you set an extension without using the "x-" prefix, the prefix will be added upon encoding.
If you wish to disable decoding/encoding of vendor extensions for performance reasons, you can configure the Encoder and Decoder using their userInfo
:
let userInfo = [VendorExtensionsConfiguration.enabledKey: false]
let encoder = JSONEncoder()
encoder.userInfo = userInfo
let decoder = JSONDecoder()
decoder.userInfo = userInfo
OpenAPIKit uses the AnyCodable
type for vendor extensions and constructing examples for JSON Schemas. OpenAPIKit's AnyCodable
type is an adaptation of the Flight School library that can be found here.
AnyCodable
can be constructed explicitly or from many types of literals. The following are all valid.
var document = OpenAPI.Document(...)
document.vendorExtensions["x-specialProperty1"] = true
document.vendorExtensions["x-specialProperty2"] = "hello world"
document.vendorExtensions["x-specialProperty3"] = AnyCodable("hello world")
document.vendorExtensions["x-specialProperty4"] = AnyCodable(["hello", "world"])
document.vendorExtensions["x-specialProperty5"] = AnyCodable(["hello": "world"])
It is important to note that AnyCodable
wraps Swift types in a way that keeps track of the Swift type used to construct it as much as possible, but if you encode an AnyCodable
and then decode that result, the decoded value may not always be the same as the pre-encoded value started out. This is because many Swift types will encode to "stringy" values and then decode as simply String
values. There are two ways to cope with this:
- When adding stringy values to structures that will be passed to
AnyCodable
, you can explicitly turn them intoString
s. For example, you can useURL(...).absoluteString
both to specify you want the absolute value of the URL encoded and also to turn it into aString
up front. - When comparing
AnyCodable
values that have passed through a full encode/decode cycle, you can compare thedescription
of the twoAnyCodable
values. This stringy result is more likely to compare equivalently.
Keep in mind, this issue only occurs when you are comparing value a
and value b
for equality given that b
is a
after being encoded and then subsequently decoded.
The other sure-fire way to handle this (if you need encode-decode equality, not just equivalence) is to make sure you run both values being compared through encoding. For example, you might use the following function which doesn't even care if the input is AnyCodable
or not:
func encodedEqual<A: Codable, B: Codable>(_ a: A, _ b: B) throws -> Bool {
let a = try JSONEncoder().encode(a)
let b = try JSONEncoder().encode(b)
return a == b
}
For example, the result of the following is true
:
try encodeEqual(URL(string: "https://website.com"), AnyCodable(URL(string: "https://website.com")))
External dereferencing does not resolve any local (internal) references, it just loads external references into the Document. It does this by storing any loaded externally referenced objects in the Components Object and transforming the reference being resolved from an external reference to an internal one. That way, you can always run internal dereferencing as a second step if you want a fully dereferenced document, but if you simply wanted to load additional referenced files then you can stop after external dereferencing.
OpenAPIKit leaves it to you to decide how to load external files and where to store the results in the Components Object. It does this by requiring that you provide an implementation of the ExternalLoader
protocol. You provide a load
function and a componentKey
function, both of which accept as input the URL
to load. A simple mock example implementation from the OpenAPIKit tests will go a long way to showing how the ExternalLoader
can be set up:
struct ExampleLoader: ExternalLoader {
typealias Message = Void
static func load<T>(_ url: URL) async throws -> (T, [Message]) where T : Decodable {
// load data from file, perhaps. we will just mock that up for the example:
let data = try await mockData(componentKey(type: T.self, at: url))
// We use the YAML decoder purely for order-stability.
let decoded = try YAMLDecoder().decode(T.self, from: data)
let finished: T
// while unnecessary, a loader may likely want to attatch some extra info
// to keep track of where a reference was loaded from. This example
shows
// the strategy of using vendor extensions.
if var extendable = decoded as? VendorExtendable {
extendable.vendorExtensions["x-source-url"] = AnyCodable(url)
finished = extendable as! T
} else {
finished = decoded
}
return (finished, [])
}
static func componentKey<T>(type: T.Type, at url: URL) throws -> OpenAPIKit.OpenAPI.ComponentKey {
// do anything you want here to determine what key the new component should be stored at.
//
// for the example, we will just transform the URL path into a valid components key:
let urlString = url.pathComponents
.joined(separator: "_")
.replacingOccurrences(of: ".", with: "_")
return try .forceInit(rawValue: urlString)
}
}
Once you have an ExternalLoader
, you can call an OpenAPI.Document
's externallyDereference()
method to externally dereference it. You get to choose whether to only load references to a certain depth or to fully resolve references until you run out of them; any given referenced document may itself contain references and these references may point back to things loaded into the Document previously so dereferencing is done recursively up to a given depth (or until fully dereferenced if you use the .full
depth).
If you have some information that you want to pass back to yourself from the load()
function, you can specify any type you want as the Message
type and return any number of messages from each load()
function execution. These messages could be warnings, additional information about the files that each newly loaded Component came from, etc. If you want to tie some information about file loading to new Components in your messages, you can use the componentKey()
function to get the key the new Component will be found under once external dereferencing is complete.
In addition to looking something up in the Components
object, you can entirely derefererence many OpenAPIKit types. A dereferenced type has had all of its references looked up (and all of its properties' references, all the way down).
You use a value's dereferenced(in:)
method to fully dereference it.
You can even dereference the whole document with the OpenAPI.Document
locallyDereferenced()
method. As the name implies, you can only derefence whole documents that have previously been externally dereferenced (or documents contained within one file) -- that is, all references are "local". Specifically, all references must be located within the document's Components Object. External dereferencing is done as a separeate step, but you can first dereference externally and then dereference internally if you'd like to perform both.
Unlike what happens when you lookup an individual component using the lookup()
method on Components
, dereferencing a whole OpenAPI.Document
will result in type-level changes that guarantee all references are removed. OpenAPI.Document
's locallyDereferenced()
method returns a DereferencedDocument
which exposes DereferencedPathItem
s which have DereferencedParameter
s and DereferencedOperation
s and so on.
Anywhere that a type would have had either a reference or a component, the dereferenced variety will simply have the component. For example, PathItem
has an array of parameters, each of which is Either<OpenAPI.Reference<Parameter>, Parameter>
whereas a DereferencedPathItem
has an array of DereferencedParameter
s. The dereferenced variant of each type exposes all the same properties and you can get at the underlying OpenAPI
type via an underlying{TypeName}
property. This can make for a much more convenient way to traverse a document because you don't need to check for or look up references anywhere the OpenAPI Specification allows them.
For all dereferenced types, dereferencing will store a new vendor extension on the dereferenced value to keep track of the Component Object name the value used to be referenced at. This vendor extension is a string value with the x-component-name
key.
You can take things a step further and resolve the document. Calling resolved()
on a DereferencedDocument
will produce a canonical form of an OpenAPI.Document
. The ResolvedRoute
s and ResolvedEndpoint
s that the ResolvedDocument
exposes collect all relevant information from the whole document into themselves. For example, a ResolvedEndpoint
knows what servers it can be used on, what path it is located at, and which parameters it supports (even if some of those parameters were defined in an OpenAPI.Operation
and others were defined in the containing OpenAPI.PathItem
).
If your end goal is to analyze the OpenAPI Document or generate something entirely new (like code) from it, the ResolvedDocument
is by far more convenient to traverse and query than the original OpenAPI.Document
. The downside is, there is not currently support for mutating the ResolvedDocument
and then turning it back into an OpenAPI.Document
to encode it.
let document: OpenAPI.Document = ...
let resolvedDocument = try document
.locallyDereferenced()
.resolved()
for endpoint in resolvedDocument.endpoints {
// The description found on the PathItem containing the Operation defining this endpoint:
let routeDescription = endpoint.routeDescription
// The description found directly on the Operation defining this endpoint:
let endpointDescription = endpoint.endpointDescription
// The path, which in the OpenAPI.Document is the key of the dictionary containing
// the PathItem under which the Operation for this endpoint lives:
let path = endpoint.path
// The method, which in the OpenAPI.Document is the way you access the Operation for
// this endpoint on the PathItem (GET, PATCH, etc.):
let httpMethod = endpoint.method
// All parameters defined for the Operation _or_ the PathItem containing it:
let parameters = endpoint.parameters
// Per the specification, this is
// 1. the list of servers defined on the Operation if one is given.
// 2. the list of servers defined on the PathItem if one is given _and_
// no list was found on the Operation.
// 3. the list of servers defined on the Document if no list was found on
// the Operation _or_ the PathItem.
let servers = endpoint.servers
// and many more properties...
}
Following is a short list of integrations that might be immediately useful or just serve as examples of ways that OpenAPIKit can be used to harness the power of the OpenAPI specification.
If you have a library you would like to propose for this section, please create a pull request and explain a bit about your project.
The swift-openapi-generator uses OpenAPIKit under the hood and generates Swift code for interfacing with APIs that have OpenAPI descriptions.
VaporOpenAPI / VaporOpenAPIExample provide an example of generating OpenAPI from a Vapor application's routes.
JSONAPI+OpenAPI is a library that generates OpenAPI schemas from JSON:API types. The library has some rudimentary and experimental support for going the other direction and generating Swift types that represent JSON:API resources described by OpenAPI documentation.
The Swift Package Registry API Docs define the OpenAPI documentation for the Swift Package Registry standard using declarative Swift code and OpenAPIKit. This project also provides a useful example of producing a user-friendly ReDoc web interface to the OpenAPI documentation after encoding it as YAML.
OpenAPIDiff is a library and a CLI that implements semantic diffing; that is, rather than just comparing two OpenAPI documents line-by-line for textual differences, it parses the documents and describes the differences in the two OpenAPI ASTs.
This library does not handle reading files from disk or otherwise. You must read OpenAPI documentation into Data
or String
(depending on the decoder you want to use) and then decode using OpenAPIKit's Decodable
conformances.
This library is opinionated about a few defaults when you use the Swift types, however encoding and decoding stays true to the spec. Some key things to note:
- Within schemas,
required
is specified on the property rather than being specified on the parent object (encoding/decoding still follows the OpenAPI spec).- ex
JSONSchema.object(properties: [ "val": .string(required: true)])
is an "object" type with a required "string" type property.
- ex
- Within schemas,
required
defaults totrue
on initialization (again, encoding/decoding still follows the OpenAPI spec).- ex.
JSONSchema.string
is a required "string" type. - ex.
JSONSchema.string(required: false)
is an optional "string" type.
- ex.
See A note on dictionary ordering before deciding on an encoder/decoder to use with this library.
Contributions to OpenAPIKit are welcome and appreciated! The project is mostly maintained by one person which means additional contributors have a huge impact on how much gets done how quickly.
Please see the Contribution Guidelines for a few brief notes on contributing the the project.
The OpenAPIKit project takes code security seriously. As part of the Swift Server Workground incubation program, this project follows a shared set of standards around receiving, reporting, and reacting to security vulnerabilies.
Please see Security for information on how to report vulnerabilities to the OpenAPIKit project and what to expect after you do.
Please do not report security vulnerabilities via GitHub issues.
For a full list of OpenAPI Specification types annotated with whether OpenAPIKit supports them and relevant translations to OpenAPIKit types, see the Specification Coverage documentation. For detailed information on the OpenAPIKit types, see the full type documentation.