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May 21, 2023 08:43
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Chat completetion streaming with openai-kotlin in unite test
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package com.example.openaikotlintest | |
import com.aallam.openai.api.BetaOpenAI | |
import com.aallam.openai.api.chat.ChatCompletionRequest | |
import com.aallam.openai.api.chat.ChatMessage | |
import com.aallam.openai.api.chat.ChatRole | |
import com.aallam.openai.api.http.Timeout | |
import com.aallam.openai.api.model.ModelId | |
import com.aallam.openai.client.OpenAI | |
import com.aallam.openai.client.OpenAIConfig | |
import kotlinx.coroutines.CoroutineScope | |
import kotlinx.coroutines.flow.launchIn | |
import kotlinx.coroutines.flow.onCompletion | |
import kotlinx.coroutines.flow.onEach | |
import kotlinx.coroutines.test.runTest | |
import kotlin.time.Duration.Companion.seconds | |
import org.junit.Test | |
import org.junit.Assert.* | |
@OptIn(BetaOpenAI::class) | |
class ExampleUnitTest { | |
@Test | |
fun chatCompletionStream() { | |
runTest(timeout = 600.seconds) { | |
val scope = CoroutineScope(coroutineContext) | |
val apiKey = "{OPENAI_API_KEY}" | |
val config = OpenAIConfig( | |
token = apiKey, | |
timeout = Timeout(socket = 60.seconds) | |
) | |
val openAI = OpenAI(config) | |
val chatCompletionRequest = ChatCompletionRequest( | |
model = ModelId("gpt-3.5-turbo"), | |
messages = listOf( | |
ChatMessage( | |
role = ChatRole.System, | |
content = "You are a helpful assistant that reply user message." | |
), | |
ChatMessage( | |
role = ChatRole.User, | |
content = "Please write a poem as long as possible." | |
) | |
) | |
) | |
openAI.chatCompletions(chatCompletionRequest) | |
.onEach { print(it.choices.first().delta?.content.orEmpty()) } | |
.onCompletion { println("DONE") } | |
.launchIn(scope) | |
.join() | |
} | |
} | |
} |
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