Hay más AWS SDK ejemplos disponibles en el GitHub repositorio de AWS Doc SDK Examples
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Ejemplos de Amazon Bedrock Runtime que se utilizan SDK para Rust
Los siguientes ejemplos de código muestran cómo realizar acciones e implementar escenarios comunes mediante el AWS SDK uso de Rust con Amazon Bedrock Runtime.
Cada ejemplo incluye un enlace al código fuente completo, donde puede encontrar instrucciones sobre cómo configurar y ejecutar el código en su contexto.
Temas
Anthropic Claude
El siguiente ejemplo de código muestra cómo enviar un mensaje de texto a Anthropic Claude con Converse de Bedrock. API
- SDKpara Rust
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nota
Hay más información GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el Repositorio de ejemplos de código de AWS
. Envía un mensaje de texto a Anthropic Claude, usando Converse de Bedrock. API
#[tokio::main] async fn main() -> Result<(), BedrockConverseError> { tracing_subscriber::fmt::init(); let sdk_config = aws_config::defaults(BehaviorVersion::latest()) .region(CLAUDE_REGION) .load() .await; let client = Client::new(&sdk_config); let response = client .converse() .model_id(MODEL_ID) .messages( Message::builder() .role(ConversationRole::User) .content(ContentBlock::Text(USER_MESSAGE.to_string())) .build() .map_err(|_| "failed to build message")?, ) .send() .await; match response { Ok(output) => { let text = get_converse_output_text(output)?; println!("{}", text); Ok(()) } Err(e) => Err(e .as_service_error() .map(BedrockConverseError::from) .unwrap_or_else(|| BedrockConverseError("Unknown service error".into()))), } } fn get_converse_output_text(output: ConverseOutput) -> Result<String, BedrockConverseError> { let text = output .output() .ok_or("no output")? .as_message() .map_err(|_| "output not a message")? .content() .first() .ok_or("no content in message")? .as_text() .map_err(|_| "content is not text")? .to_string(); Ok(text) }
Utilice sentencias, utilidades de error y constantes.
use aws_config::BehaviorVersion; use aws_sdk_bedrockruntime::{ operation::converse::{ConverseError, ConverseOutput}, types::{ContentBlock, ConversationRole, Message}, Client, }; // Set the model ID, e.g., Claude 3 Haiku. const MODEL_ID: &str = "anthropic.claude-3-haiku-20240307-v1:0"; const CLAUDE_REGION: &str = "us-east-1"; // Start a conversation with the user message. const USER_MESSAGE: &str = "Describe the purpose of a 'hello world' program in one line."; #[derive(Debug)] struct BedrockConverseError(String); impl std::fmt::Display for BedrockConverseError { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { write!(f, "Can't invoke '{}'. Reason: {}", MODEL_ID, self.0) } } impl std::error::Error for BedrockConverseError {} impl From<&str> for BedrockConverseError { fn from(value: &str) -> Self { BedrockConverseError(value.to_string()) } } impl From<&ConverseError> for BedrockConverseError { fn from(value: &ConverseError) -> Self { BedrockConverseError::from(match value { ConverseError::ModelTimeoutException(_) => "Model took too long", ConverseError::ModelNotReadyException(_) => "Model is not ready", _ => "Unknown", }) } }
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Para API obtener más información, consulte Converse
in AWS SDKpara obtener información sobre Rust. API
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El siguiente ejemplo de código muestra cómo enviar un mensaje de texto a Anthropic Claude mediante Converse de Bedrock API y procesar el flujo de respuestas en tiempo real.
- SDKpara Rust
-
nota
Hay más información GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el Repositorio de ejemplos de código de AWS
. Envía un mensaje de texto a Anthropic Claude y transmite fichas de respuesta usando Bedrock's. ConverseStream API
#[tokio::main] async fn main() -> Result<(), BedrockConverseStreamError> { tracing_subscriber::fmt::init(); let sdk_config = aws_config::defaults(BehaviorVersion::latest()) .region(CLAUDE_REGION) .load() .await; let client = Client::new(&sdk_config); let response = client .converse_stream() .model_id(MODEL_ID) .messages( Message::builder() .role(ConversationRole::User) .content(ContentBlock::Text(USER_MESSAGE.to_string())) .build() .map_err(|_| "failed to build message")?, ) .send() .await; let mut stream = match response { Ok(output) => Ok(output.stream), Err(e) => Err(BedrockConverseStreamError::from( e.as_service_error().unwrap(), )), }?; loop { let token = stream.recv().await; match token { Ok(Some(text)) => { let next = get_converse_output_text(text)?; print!("{}", next); Ok(()) } Ok(None) => break, Err(e) => Err(e .as_service_error() .map(BedrockConverseStreamError::from) .unwrap_or(BedrockConverseStreamError( "Unknown error receiving stream".into(), ))), }? } println!(); Ok(()) } fn get_converse_output_text( output: ConverseStreamOutputType, ) -> Result<String, BedrockConverseStreamError> { Ok(match output { ConverseStreamOutputType::ContentBlockDelta(event) => match event.delta() { Some(delta) => delta.as_text().cloned().unwrap_or_else(|_| "".into()), None => "".into(), }, _ => "".into(), }) }
Utilice sentencias, utilidades de error y constantes.
use aws_config::BehaviorVersion; use aws_sdk_bedrockruntime::{ error::ProvideErrorMetadata, operation::converse_stream::ConverseStreamError, types::{ error::ConverseStreamOutputError, ContentBlock, ConversationRole, ConverseStreamOutput as ConverseStreamOutputType, Message, }, Client, }; // Set the model ID, e.g., Claude 3 Haiku. const MODEL_ID: &str = "anthropic.claude-3-haiku-20240307-v1:0"; const CLAUDE_REGION: &str = "us-east-1"; // Start a conversation with the user message. const USER_MESSAGE: &str = "Describe the purpose of a 'hello world' program in one line."; #[derive(Debug)] struct BedrockConverseStreamError(String); impl std::fmt::Display for BedrockConverseStreamError { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { write!(f, "Can't invoke '{}'. Reason: {}", MODEL_ID, self.0) } } impl std::error::Error for BedrockConverseStreamError {} impl From<&str> for BedrockConverseStreamError { fn from(value: &str) -> Self { BedrockConverseStreamError(value.into()) } } impl From<&ConverseStreamError> for BedrockConverseStreamError { fn from(value: &ConverseStreamError) -> Self { BedrockConverseStreamError( match value { ConverseStreamError::ModelTimeoutException(_) => "Model took too long", ConverseStreamError::ModelNotReadyException(_) => "Model is not ready", _ => "Unknown", } .into(), ) } } impl From<&ConverseStreamOutputError> for BedrockConverseStreamError { fn from(value: &ConverseStreamOutputError) -> Self { match value { ConverseStreamOutputError::ValidationException(ve) => BedrockConverseStreamError( ve.message().unwrap_or("Unknown ValidationException").into(), ), ConverseStreamOutputError::ThrottlingException(te) => BedrockConverseStreamError( te.message().unwrap_or("Unknown ThrottlingException").into(), ), value => BedrockConverseStreamError( value .message() .unwrap_or("Unknown StreamOutput exception") .into(), ), } } }
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Para API obtener más información, consulte ConverseStream
la AWS SDKAPIreferencia sobre Rust.
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El siguiente ejemplo de código muestra cómo crear una interacción típica entre una aplicación, un modelo de IA generativo y herramientas conectadas o cómo APIs mediar en las interacciones entre la IA y el mundo exterior. Utiliza el ejemplo de conectar un clima externo al modelo de IA API para que pueda proporcionar información meteorológica en tiempo real basada en las entradas del usuario.
- SDKpara Rust
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nota
Hay más información GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el Repositorio de ejemplos de código de AWS
. El escenario principal y la lógica de la demostración. Esto organiza la conversación entre el usuario, la Amazon Bedrock Converse y una API herramienta meteorológica.
#[derive(Debug)] #[allow(dead_code)] struct InvokeToolResult(String, ToolResultBlock); struct ToolUseScenario { client: Client, conversation: Vec<Message>, system_prompt: SystemContentBlock, tool_config: ToolConfiguration, } impl ToolUseScenario { fn new(client: Client) -> Self { let system_prompt = SystemContentBlock::Text(SYSTEM_PROMPT.into()); let tool_config = ToolConfiguration::builder() .tools(Tool::ToolSpec( ToolSpecification::builder() .name(TOOL_NAME) .description(TOOL_DESCRIPTION) .input_schema(ToolInputSchema::Json(make_tool_schema())) .build() .unwrap(), )) .build() .unwrap(); ToolUseScenario { client, conversation: vec![], system_prompt, tool_config, } } async fn run(&mut self) -> Result<(), ToolUseScenarioError> { loop { let input = get_input().await?; if input.is_none() { break; } let message = Message::builder() .role(User) .content(ContentBlock::Text(input.unwrap())) .build() .map_err(ToolUseScenarioError::from)?; self.conversation.push(message); let response = self.send_to_bedrock().await?; self.process_model_response(response).await?; } Ok(()) } async fn send_to_bedrock(&mut self) -> Result<ConverseOutput, ToolUseScenarioError> { debug!("Sending conversation to bedrock"); self.client .converse() .model_id(MODEL_ID) .set_messages(Some(self.conversation.clone())) .system(self.system_prompt.clone()) .tool_config(self.tool_config.clone()) .send() .await .map_err(ToolUseScenarioError::from) } async fn process_model_response( &mut self, mut response: ConverseOutput, ) -> Result<(), ToolUseScenarioError> { let mut iteration = 0; while iteration < MAX_RECURSIONS { iteration += 1; let message = if let Some(ref output) = response.output { if output.is_message() { Ok(output.as_message().unwrap().clone()) } else { Err(ToolUseScenarioError( "Converse Output is not a message".into(), )) } } else { Err(ToolUseScenarioError("Missing Converse Output".into())) }?; self.conversation.push(message.clone()); match response.stop_reason { StopReason::ToolUse => { response = self.handle_tool_use(&message).await?; } StopReason::EndTurn => { print_model_response(&message.content[0])?; return Ok(()); } _ => (), } } Err(ToolUseScenarioError( "Exceeded MAX_ITERATIONS when calling tools".into(), )) } async fn handle_tool_use( &mut self, message: &Message, ) -> Result<ConverseOutput, ToolUseScenarioError> { let mut tool_results: Vec<ContentBlock> = vec![]; for block in &message.content { match block { ContentBlock::Text(_) => print_model_response(block)?, ContentBlock::ToolUse(tool) => { let tool_response = self.invoke_tool(tool).await?; tool_results.push(ContentBlock::ToolResult(tool_response.1)); } _ => (), }; } let message = Message::builder() .role(User) .set_content(Some(tool_results)) .build()?; self.conversation.push(message); self.send_to_bedrock().await } async fn invoke_tool( &mut self, tool: &ToolUseBlock, ) -> Result<InvokeToolResult, ToolUseScenarioError> { match tool.name() { TOOL_NAME => { println!( "\x1b[0;90mExecuting tool: {TOOL_NAME} with input: {:?}...\x1b[0m", tool.input() ); let content = fetch_weather_data(tool).await?; println!( "\x1b[0;90mTool responded with {:?}\x1b[0m", content.content() ); Ok(InvokeToolResult(tool.tool_use_id.clone(), content)) } _ => Err(ToolUseScenarioError(format!( "The requested tool with name {} does not exist", tool.name() ))), } } } #[tokio::main] async fn main() { tracing_subscriber::fmt::init(); let sdk_config = aws_config::defaults(BehaviorVersion::latest()) .region(CLAUDE_REGION) .load() .await; let client = Client::new(&sdk_config); let mut scenario = ToolUseScenario::new(client); header(); if let Err(err) = scenario.run().await { println!("There was an error running the scenario! {}", err.0) } footer(); }
La herramienta meteorológica utilizada en la demostración. Este script define la especificación de la herramienta e implementa la lógica para recuperar los datos meteorológicos mediante el Open-MeteoAPI.
const ENDPOINT: &str = "https://api.open-meteo.com/v1/forecast"; async fn fetch_weather_data( tool_use: &ToolUseBlock, ) -> Result<ToolResultBlock, ToolUseScenarioError> { let input = tool_use.input(); let latitude = input .as_object() .unwrap() .get("latitude") .unwrap() .as_string() .unwrap(); let longitude = input .as_object() .unwrap() .get("longitude") .unwrap() .as_string() .unwrap(); let params = [ ("latitude", latitude), ("longitude", longitude), ("current_weather", "true"), ]; debug!("Calling {ENDPOINT} with {params:?}"); let response = reqwest::Client::new() .get(ENDPOINT) .query(¶ms) .send() .await .map_err(|e| ToolUseScenarioError(format!("Error requesting weather: {e:?}")))? .error_for_status() .map_err(|e| ToolUseScenarioError(format!("Failed to request weather: {e:?}")))?; debug!("Response: {response:?}"); let bytes = response .bytes() .await .map_err(|e| ToolUseScenarioError(format!("Error reading response: {e:?}")))?; let result = String::from_utf8(bytes.to_vec()) .map_err(|_| ToolUseScenarioError("Response was not utf8".into()))?; Ok(ToolResultBlock::builder() .tool_use_id(tool_use.tool_use_id()) .content(ToolResultContentBlock::Text(result)) .build()?) }
Utilidades para imprimir los bloques de contenido del mensaje
fn print_model_response(block: &ContentBlock) -> Result<(), ToolUseScenarioError> { if block.is_text() { let text = block.as_text().unwrap(); println!("\x1b[0;90mThe model's response:\x1b[0m\n{text}"); Ok(()) } else { Err(ToolUseScenarioError(format!( "Content block is not text ({block:?})" ))) } }
Utilice sentencias, utilidades de error y constantes.
use std::{collections::HashMap, io::stdin}; use aws_config::BehaviorVersion; use aws_sdk_bedrockruntime::{ error::{BuildError, SdkError}, operation::converse::{ConverseError, ConverseOutput}, types::{ ContentBlock, ConversationRole::User, Message, StopReason, SystemContentBlock, Tool, ToolConfiguration, ToolInputSchema, ToolResultBlock, ToolResultContentBlock, ToolSpecification, ToolUseBlock, }, Client, }; use aws_smithy_runtime_api::http::Response; use aws_smithy_types::Document; use tracing::debug; /// This demo illustrates a tool use scenario using Amazon Bedrock's Converse API and a weather tool. /// The script interacts with a foundation model on Amazon Bedrock to provide weather information based on user /// input. It uses the Open-Meteo API (https://open-meteo.com) to retrieve current weather data for a given location. // Set the model ID, e.g., Claude 3 Haiku. const MODEL_ID: &str = "anthropic.claude-3-haiku-20240307-v1:0"; const CLAUDE_REGION: &str = "us-east-1"; const SYSTEM_PROMPT: &str = "You are a weather assistant that provides current weather data for user-specified locations using only the Weather_Tool, which expects latitude and longitude. Infer the coordinates from the location yourself. If the user provides coordinates, infer the approximate location and refer to it in your response. To use the tool, you strictly apply the provided tool specification. - Explain your step-by-step process, and give brief updates before each step. - Only use the Weather_Tool for data. Never guess or make up information. - Repeat the tool use for subsequent requests if necessary. - If the tool errors, apologize, explain weather is unavailable, and suggest other options. - Report temperatures in °C (°F) and wind in km/h (mph). Keep weather reports concise. Sparingly use emojis where appropriate. - Only respond to weather queries. Remind off-topic users of your purpose. - Never claim to search online, access external data, or use tools besides Weather_Tool. - Complete the entire process until you have all required data before sending the complete response. "; // The maximum number of recursive calls allowed in the tool_use_demo function. // This helps prevent infinite loops and potential performance issues. const MAX_RECURSIONS: i8 = 5; const TOOL_NAME: &str = "Weather_Tool"; const TOOL_DESCRIPTION: &str = "Get the current weather for a given location, based on its WGS84 coordinates."; fn make_tool_schema() -> Document { Document::Object(HashMap::<String, Document>::from([ ("type".into(), Document::String("object".into())), ( "properties".into(), Document::Object(HashMap::from([ ( "latitude".into(), Document::Object(HashMap::from([ ("type".into(), Document::String("string".into())), ( "description".into(), Document::String("Geographical WGS84 latitude of the location.".into()), ), ])), ), ( "longitude".into(), Document::Object(HashMap::from([ ("type".into(), Document::String("string".into())), ( "description".into(), Document::String( "Geographical WGS84 longitude of the location.".into(), ), ), ])), ), ])), ), ( "required".into(), Document::Array(vec![ Document::String("latitude".into()), Document::String("longitude".into()), ]), ), ])) } #[derive(Debug)] struct ToolUseScenarioError(String); impl std::fmt::Display for ToolUseScenarioError { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { write!(f, "Tool use error with '{}'. Reason: {}", MODEL_ID, self.0) } } impl From<&str> for ToolUseScenarioError { fn from(value: &str) -> Self { ToolUseScenarioError(value.into()) } } impl From<BuildError> for ToolUseScenarioError { fn from(value: BuildError) -> Self { ToolUseScenarioError(value.to_string().clone()) } } impl From<SdkError<ConverseError, Response>> for ToolUseScenarioError { fn from(value: SdkError<ConverseError, Response>) -> Self { ToolUseScenarioError(match value.as_service_error() { Some(value) => value.meta().message().unwrap_or("Unknown").into(), None => "Unknown".into(), }) } }
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Para API obtener más información, consulte Converse
in AWS SDKpara obtener información sobre Rust. API
-