ai-mocks-gemini/dev.mokksy.aimocks.gemini.content/GeminiContentRequestSpecification

GeminiContentRequestSpecification

open class GeminiContentRequestSpecification(var project: String? = null, var location: String? = null, var apiVersion: String = "v1", var path: String? = null, var seed: Number? = null, maxOutputTokens: Int? = null) : AbstractInferenceRequestSpecification<GenerateContentRequest> (source)

Represents the specification for a Gemini content generation request.

Extends ModelRequestSpecification specifically for configuring and validating parameters related to GenerateContentRequest objects. This includes overriding methods to add matchers for specific conditions, such as ensuring messages from the system or user contain specified substrings.

Author

Konstantin Pavlov

Constructors

GeminiContentRequestSpecification

constructor(project: String? = null, location: String? = null, apiVersion: String = "v1", path: String? = null, seed: Number? = null, maxOutputTokens: Int? = null)

Creates an instance with optional parameters for initializing configuration.

Properties

var apiVersion: String

Either v1 or v1beta1. Default is v1. See API versions explained

var location: String?

Google location

maxOutputTokens

var maxOutputTokens: Int?

An optional maximum number of tokens to generate.

var maxTokens: Long?

var model: String?

var path: String?

full request path

var project: String?

Google project ID

val requestBody: MutableList<Matcher<GenerateContentRequest?>>

requestBodyString

val requestBodyString: MutableList<Matcher<String?>>

var seed: Number?

var temperature: Double?

var topK: Long?

var topP: Double?

Functions

fun apiVersion(value: String): GeminiContentRequestSpecification

fun betaApi(): GeminiContentRequestSpecification

Configures the API version to "v1beta1" for Gemini content-related requests.

fun location(value: String): GeminiContentRequestSpecification

maxOutputTokens

fun maxOutputTokens(value: Number): GeminiContentRequestSpecification

fun maxTokens(value: Long): AbstractInferenceRequestSpecification<GenerateContentRequest>

fun maxTokens(value: Number): AbstractInferenceRequestSpecification<GenerateContentRequest>

fun model(model: String): ModelRequestSpecification<GenerateContentRequest>

fun path(value: String)

fun project(value: String): GeminiContentRequestSpecification

requestBodyContains

fun requestBodyContains(substring: String): ModelRequestSpecification<GenerateContentRequest>

requestBodyContainsIgnoringCase

fun requestBodyContainsIgnoringCase(substring: String): ModelRequestSpecification<GenerateContentRequest>

requestBodyDoesNotContains

fun requestBodyDoesNotContains(substring: String): ModelRequestSpecification<GenerateContentRequest>

requestBodyDoesNotContainsIgnoringCase

fun requestBodyDoesNotContainsIgnoringCase(substring: String): ModelRequestSpecification<GenerateContentRequest>

requestBodyEquals

fun requestBodyEquals(requestObject: GenerateContentRequest): ModelRequestSpecification<GenerateContentRequest>

fun requestBodyEquals(payload: String): ModelRequestSpecification<GenerateContentRequest>

requestBodyEqualsJson

fun requestBodyEqualsJson(payload: String): ModelRequestSpecification<GenerateContentRequest>

fun requestMatches(matcher: Matcher<GenerateContentRequest?>)

requestMatchesPredicate

fun requestMatchesPredicate(predicate: (GenerateContentRequest) -> Boolean)

requestSatisfies

fun requestSatisfies(description: String?, call: (GenerateContentRequest?) -> Unit)

fun seed(value: Number): GeminiContentRequestSpecification

fun stableApi(): GeminiContentRequestSpecification

Configures the API version to "v1" for Gemini content-related requests.

systemMessageContains

inline fun systemMessageContains(builderAction: StringBuilder.() -> Unit)

open override fun systemMessageContains(substring: String)

fun temperature(temperature: Double): AbstractInferenceRequestSpecification<GenerateContentRequest>

fun topK(value: Long): AbstractInferenceRequestSpecification<GenerateContentRequest>

fun topK(value: Number): AbstractInferenceRequestSpecification<GenerateContentRequest>

fun topP(value: Double): AbstractInferenceRequestSpecification<GenerateContentRequest>

fun topP(value: Number): AbstractInferenceRequestSpecification<GenerateContentRequest>

userMessageContains

inline fun userMessageContains(builderAction: StringBuilder.() -> Unit)

open override fun userMessageContains(substring: String)