Reference: AI: OpenAI
Installation
dependencies {
implementation(platform("org.http4k:http4k-connect-bom:5.25.1.0"))
implementation("org.http4k:http4k-connect-ai-openai")
implementation("org.http4k:http4k-connect-ai-openai-fake")
}
The http4k-connect OpenAI integration provides:
- OpenAI API Client
- FakeOpenAI server which can be used as testing harness
OpenAI API connector
The OpenAI connector provides the following Actions:
- GetModels
- ChatCompletion
- CreateEmbeddings
- GenerateImage
New actions can be created easily using the same transport.
The client APIs utilise the OpenAI API Key (Bearer Auth). There is no reflection used anywhere in the library, so this is perfect for deploying to a Serverless function.
Example usage
const val USE_REAL_CLIENT = false
fun main() {
// we can connect to the real service or the fake (drop in replacement)
val http: HttpHandler = if (USE_REAL_CLIENT) JavaHttpClient() else FakeOpenAI()
// create a client
val client = OpenAI.Http(OpenAIToken.of("foobar"), http.debug())
// all operations return a Result monad of the API type
val result: Result<Models, RemoteFailure> = client
.getModels()
println(result)
}
Other examples can be found here.
Fake OpenAI Server
The Fake OpenAI provides the below actions and can be spun up as a server, meaning it is perfect for using in test environments without using up valuable request tokens!
- GetModels
- ChatCompletion
- GenerateImage
Security
The Fake server endpoints are secured with a BearerToken header, but the value is not checked for anything other than presence.
Image generation
Image generation also can be set to either URL or base-64 data return. In the case of URLs, the Fake also doubles as a webserver for serving the images (so you can request an image and then load it from the server). Resolution PNG images of 256x/512x/1024x are supported.
Generation of responses
By default, a random LoremIpsum generator creates chat completion responses for the Fake. This behaviour can be
overridden to generate custom response formats (eg. structured responses) if required. To do so, create instances of
the ChatCompletionGenerator
interface and return as appropriate.
Default Fake port: 45674
To start:
FakeOpenAI().start()