tri.ai.openai.OpenAiChat.kt Maven / Gradle / Ivy

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 * tri.promptfx:promptkt
 * %%
 * Copyright (C) 2023 - 2024 Johns Hopkins University Applied Physics Laboratory
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 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
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 * 
 *      http://www.apache.org/licenses/LICENSE-2.0
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package tri.ai.openai

import com.aallam.openai.api.chat.ChatCompletionRequest
import com.aallam.openai.api.chat.ChatMessage
import com.aallam.openai.api.chat.ChatResponseFormat
import com.aallam.openai.api.chat.ChatRole
import com.aallam.openai.api.model.ModelId
import tri.ai.core.TextChat
import tri.ai.core.TextChatMessage
import tri.ai.core.TextChatRole
import tri.ai.openai.OpenAiModelIndex.GPT35_TURBO

/** Chat completion with OpenAI models. */
class OpenAiChat(override val modelId: String = GPT35_TURBO, val client: OpenAiClient = OpenAiClient.INSTANCE) : TextChat {

    override suspend fun chat(messages: List, tokens: Int?, stop: List?, requestJson: Boolean?) =
        client.chatCompletion(ChatCompletionRequest(
            ModelId(modelId),
            messages.map { it.openAiMessage() },
            maxTokens = tokens ?: 500,
            stop = stop,
            responseFormat = if (requestJson == true) ChatResponseFormat.JsonObject else null
        )).map { TextChatMessage(TextChatRole.Assistant, it) }

    private fun TextChatMessage.openAiMessage() = ChatMessage(role.openAiRole(), content)

    private fun TextChatRole.openAiRole() = when (this) {
        TextChatRole.System -> ChatRole.System
        TextChatRole.User -> ChatRole.User
        TextChatRole.Assistant -> ChatRole.Assistant
    }

}