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# 使用适用于 Kotlin 的 SDK 的 Amazon Bedrock 运行时示例
以下代码示例向您展示了如何使用 AWS 适用于 Kotlin 的软件开发工具包和 Amazon Bedrock Runtime 来执行操作和实现常见场景。
每个示例都包含一个指向完整源代码的链接，您可以从中找到有关如何在上下文中设置和运行代码的说明。
**Topics**
+ [Amazon Nova](#amazon_nova)
## Amazon Nova
### Converse
以下代码示例演示如何使用 Bedrock 的 Converse API 向 Amazon Nova 发送文本消息。
**适用于 Kotlin 的 SDK**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/kotlin/services/bedrock-runtime#code-examples)中查找完整示例，了解如何进行设置和运行。
使用 Bedrock 的 Converse API 向 Amazon Nova 发送文本消息。
```
import aws.sdk.kotlin.services.bedrockruntime.BedrockRuntimeClient
import aws.sdk.kotlin.services.bedrockruntime.model.ContentBlock
import aws.sdk.kotlin.services.bedrockruntime.model.ConversationRole
import aws.sdk.kotlin.services.bedrockruntime.model.ConverseRequest
import aws.sdk.kotlin.services.bedrockruntime.model.Message
/**
* This example demonstrates how to use the Amazon Nova foundation models to generate text.
* It shows how to:
* - Set up the Amazon Bedrock runtime client
* - Create a message
* - Configure and send a request
* - Process the response
*/
suspend fun main() {
converse().also { println(it) }
}
suspend fun converse(): String {
// Create and configure the Bedrock runtime client
BedrockRuntimeClient { region = "us-east-1" }.use { client ->
// Specify the model ID. For the latest available models, see:
// https://docs.aws.amazon.com/bedrock/latest/userguide/models-supported.html
val modelId = "amazon.nova-lite-v1:0"
// Create the message with the user's prompt
val prompt = "Describe the purpose of a 'hello world' program in one line."
val message = Message {
role = ConversationRole.User
content = listOf(ContentBlock.Text(prompt))
}
// Configure the request with optional model parameters
val request = ConverseRequest {
this.modelId = modelId
messages = listOf(message)
inferenceConfig {
maxTokens = 500 // Maximum response length
temperature = 0.5F // Lower values: more focused output
// topP = 0.8F // Alternative to temperature
}
}
// Send the request and process the model's response
runCatching {
val response = client.converse(request)
return response.output!!.asMessage().content.first().asText()
}.getOrElse { error ->
error.message?.let { e -> System.err.println("ERROR: Can't invoke '$modelId'. Reason: $e") }
throw RuntimeException("Failed to generate text with model $modelId", error)
}
}
}
```
+ 有关 API 详细信息，请参阅《AWS SDK for Kotlin API Reference》**中的 [Converse](https://sdk.amazonaws.com/kotlin/api/latest/index.html)。
### ConverseStream
以下代码示例演示如何使用 Bedrock 的 Converse API 向 Amazon Nova 发送文本消息并实时处理响应流。
**适用于 Kotlin 的 SDK**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/kotlin/services/bedrock-runtime#code-examples)中查找完整示例，了解如何进行设置和运行。
使用 Bedrock 的 Converse API 向 Amazon Nova 发送文本消息并实时处理回复流。
```
import aws.sdk.kotlin.services.bedrockruntime.BedrockRuntimeClient
import aws.sdk.kotlin.services.bedrockruntime.model.ContentBlock
import aws.sdk.kotlin.services.bedrockruntime.model.ConversationRole
import aws.sdk.kotlin.services.bedrockruntime.model.ConverseStreamOutput
import aws.sdk.kotlin.services.bedrockruntime.model.ConverseStreamRequest
import aws.sdk.kotlin.services.bedrockruntime.model.Message
/**
* This example demonstrates how to use the Amazon Nova foundation models
* to generate streaming text responses.
* It shows how to:
* - Set up the Amazon Bedrock runtime client
* - Create a message with a prompt
* - Configure a streaming request with parameters
* - Process the response stream in real time
*/
suspend fun main() {
converseStream()
}
suspend fun converseStream(): String {
// A buffer to collect the complete response
val completeResponseBuffer = StringBuilder()
// Create and configure the Bedrock runtime client
BedrockRuntimeClient { region = "us-east-1" }.use { client ->
// Specify the model ID. For the latest available models, see:
// https://docs.aws.amazon.com/bedrock/latest/userguide/models-supported.html
val modelId = "amazon.nova-lite-v1:0"
// Create the message with the user's prompt
val prompt = "Describe the purpose of a 'hello world' program in a paragraph."
val message = Message {
role = ConversationRole.User
content = listOf(ContentBlock.Text(prompt))
}
// Configure the request with optional model parameters
val request = ConverseStreamRequest {
this.modelId = modelId
messages = listOf(message)
inferenceConfig {
maxTokens = 500 // Maximum response length
temperature = 0.5F // Lower values: more focused output
// topP = 0.8F // Alternative to temperature
}
}
// Process the streaming response
runCatching {
client.converseStream(request) { response ->
response.stream?.collect { chunk ->
when (chunk) {
is ConverseStreamOutput.ContentBlockDelta -> {
// Process each text chunk as it arrives
chunk.value.delta?.asText()?.let { text ->
print(text)
System.out.flush() // Ensure immediate output
completeResponseBuffer.append(text)
}
}
else -> {} // Other output block types can be handled as needed
}
}
}
}.onFailure { error ->
error.message?.let { e -> System.err.println("ERROR: Can't invoke '$modelId'. Reason: $e") }
throw RuntimeException("Failed to generate text with model $modelId: $error", error)
}
}
return completeResponseBuffer.toString()
}
```
+ 有关 API 的详细信息，请参阅适用[ConverseStream](https://sdk.amazonaws.com/kotlin/api/latest/index.html)于 K *otlin 的AWS SDK API 参考*。