tri.ai.openai.OpenAiVisionLanguageChat.kt Maven / Gradle / Ivy
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package tri.ai.openai
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.chat.chatCompletionRequest
import com.aallam.openai.api.model.ModelId
import tri.ai.core.TextChatMessage
import tri.ai.core.TextChatRole
import tri.ai.core.VisionLanguageChat
import tri.ai.core.VisionLanguageChatMessage
import tri.ai.pips.AiTaskResult
/** Vision chat completion with OpenAI models. */
class OpenAiVisionLanguageChat(override val modelId: String, val client: OpenAiClient = OpenAiClient.INSTANCE) :
VisionLanguageChat {
override fun toString() = modelId
override suspend fun chat(
messages: List,
temp: Double?,
tokens: Int?,
stop: List?,
requestJson: Boolean?
): AiTaskResult {
val response = client.chat(
chatCompletionRequest {
model = ModelId(modelId)
temperature = temp
maxTokens = tokens
this.stop = stop
messages {
messages.forEach { m ->
message {
role = m.role.openAiRole()
content {
text(m.content)
image(m.image.toString())
}
}
}
}
responseFormat = if (requestJson == true) ChatResponseFormat.JsonObject else null
}
)
return response.map { TextChatMessage(TextChatRole.Assistant, it.content!!) }
}
private fun VisionLanguageChatMessage.openAiMessage() = ChatMessage(role.openAiRole(), content)
private fun TextChatRole.openAiRole() = when (this) {
TextChatRole.System -> ChatRole.System
TextChatRole.User -> ChatRole.User
TextChatRole.Assistant -> ChatRole.Assistant
}
}
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