

D'autres exemples de AWS SDK sont disponibles dans le référentiel [AWS Doc SDK Examples](https://github.com/awsdocs/aws-doc-sdk-examples) GitHub .

Les traductions sont fournies par des outils de traduction automatique. En cas de conflit entre le contenu d'une traduction et celui de la version originale en anglais, la version anglaise prévaudra.

# Actions pour Amazon Bedrock Agents Runtime utilisant AWS SDKs
<a name="bedrock-agent-runtime_code_examples_actions"></a>

Les exemples de code suivants montrent comment effectuer des actions Amazon Bedrock Agents Runtime individuelles avec AWS SDKs. Chaque exemple inclut un lien vers GitHub, où vous pouvez trouver des instructions pour configurer et exécuter le code. 

Ces extraits appellent l’API d’exécution des agents Amazon Bedrock et sont des extraits de code de programmes plus volumineux qui doivent être exécutés en contexte. Vous pouvez voir les actions dans leur contexte dans [Scénarios pour Amazon Bedrock Agents Runtime utilisant AWS SDKs](bedrock-agent-runtime_code_examples_scenarios.md). 

 Les exemples suivants incluent uniquement les actions les plus couramment utilisées. Pour obtenir la liste complète, consultez la [Référence des API d’exécution des agents Amazon Bedrock](https://docs.aws.amazon.com/bedrock/latest/APIReference/API_Operations_Agents_for_Amazon_Bedrock_Runtime.html). 

**Topics**
+ [`InvokeAgent`](bedrock-agent-runtime_example_bedrock-agent-runtime_InvokeAgent_section.md)
+ [`InvokeFlow`](bedrock-agent-runtime_example_bedrock-agent-runtime_InvokeFlow_section.md)

# Utilisation `InvokeAgent` avec un AWS SDK
<a name="bedrock-agent-runtime_example_bedrock-agent-runtime_InvokeAgent_section"></a>

Les exemples de code suivants illustrent comment utiliser `InvokeAgent`.

------
#### [ JavaScript ]

**SDK pour JavaScript (v3)**  
 Il y en a plus à ce sujet GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le [référentiel d’exemples de code AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock-agent-runtime#code-examples). 

```
import {
  BedrockAgentRuntimeClient,
  InvokeAgentCommand,
} from "@aws-sdk/client-bedrock-agent-runtime";

/**
 * @typedef {Object} ResponseBody
 * @property {string} completion
 */

/**
 * Invokes a Bedrock agent to run an inference using the input
 * provided in the request body.
 *
 * @param {string} prompt - The prompt that you want the Agent to complete.
 * @param {string} sessionId - An arbitrary identifier for the session.
 */
export const invokeBedrockAgent = async (prompt, sessionId) => {
  const client = new BedrockAgentRuntimeClient({ region: "us-east-1" });
  // const client = new BedrockAgentRuntimeClient({
  //   region: "us-east-1",
  //   credentials: {
  //     accessKeyId: "accessKeyId", // permission to invoke agent
  //     secretAccessKey: "accessKeySecret",
  //   },
  // });

  const agentId = "AJBHXXILZN";
  const agentAliasId = "AVKP1ITZAA";

  const command = new InvokeAgentCommand({
    agentId,
    agentAliasId,
    sessionId,
    inputText: prompt,
  });

  try {
    let completion = "";
    const response = await client.send(command);

    if (response.completion === undefined) {
      throw new Error("Completion is undefined");
    }

    for await (const chunkEvent of response.completion) {
      const chunk = chunkEvent.chunk;
      console.log(chunk);
      const decodedResponse = new TextDecoder("utf-8").decode(chunk.bytes);
      completion += decodedResponse;
    }

    return { sessionId: sessionId, completion };
  } catch (err) {
    console.error(err);
  }
};

// Call function if run directly
import { fileURLToPath } from "node:url";
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  const result = await invokeBedrockAgent("I need help.", "123");
  console.log(result);
}
```
+  Pour plus de détails sur l'API, reportez-vous [InvokeAgent](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-agent-runtime/command/InvokeAgentCommand)à la section *Référence des AWS SDK pour JavaScript API*. 

------
#### [ Python ]

**Kit SDK for Python (Boto3)**  
 Il y en a plus à ce sujet GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le [référentiel d’exemples de code AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/bedrock-agent-runtime#code-examples). 
Invoquez un agent.  

```
    def invoke_agent(self, agent_id, agent_alias_id, session_id, prompt):
        """
        Sends a prompt for the agent to process and respond to.

        :param agent_id: The unique identifier of the agent to use.
        :param agent_alias_id: The alias of the agent to use.
        :param session_id: The unique identifier of the session. Use the same value across requests
                           to continue the same conversation.
        :param prompt: The prompt that you want Claude to complete.
        :return: Inference response from the model.
        """

        try:
            # Note: The execution time depends on the foundation model, complexity of the agent,
            # and the length of the prompt. In some cases, it can take up to a minute or more to
            # generate a response.
            response = self.agents_runtime_client.invoke_agent(
                agentId=agent_id,
                agentAliasId=agent_alias_id,
                sessionId=session_id,
                inputText=prompt,
            )

            completion = ""

            for event in response.get("completion"):
                chunk = event["chunk"]
                completion = completion + chunk["bytes"].decode()

        except ClientError as e:
            logger.error(f"Couldn't invoke agent. {e}")
            raise

        return completion
```
+  Pour plus de détails sur l'API, consultez [InvokeAgent](https://docs.aws.amazon.com/goto/boto3/bedrock-agent-runtime-2023-12-12/InvokeAgent)le *AWS manuel de référence de l'API SDK for Python (Boto3*). 

------
#### [ Rust ]

**SDK pour Rust**  
 Il y en a plus à ce sujet GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le [référentiel d’exemples de code AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/bedrock-agent-runtime#code-examples). 

```
use aws_config::{BehaviorVersion, SdkConfig};
use aws_sdk_bedrockagentruntime::{
    self as bedrockagentruntime,
    types::{error::ResponseStreamError, ResponseStream},
};
#[allow(unused_imports)]
use mockall::automock;

const BEDROCK_AGENT_ID: &str = "AJBHXXILZN";
const BEDROCK_AGENT_ALIAS_ID: &str = "AVKP1ITZAA";
const BEDROCK_AGENT_REGION: &str = "us-east-1";

#[cfg(not(test))]
pub use EventReceiverImpl as EventReceiver;
#[cfg(test)]
pub use MockEventReceiverImpl as EventReceiver;

pub struct EventReceiverImpl {
    inner: aws_sdk_bedrockagentruntime::primitives::event_stream::EventReceiver<
        ResponseStream,
        ResponseStreamError,
    >,
}

#[cfg_attr(test, automock)]
impl EventReceiverImpl {
    #[allow(dead_code)]
    pub fn new(
        inner: aws_sdk_bedrockagentruntime::primitives::event_stream::EventReceiver<
            ResponseStream,
            ResponseStreamError,
        >,
    ) -> Self {
        Self { inner }
    }

    pub async fn recv(
        &mut self,
    ) -> Result<
        Option<ResponseStream>,
        aws_sdk_bedrockagentruntime::error::SdkError<
            ResponseStreamError,
            aws_smithy_types::event_stream::RawMessage,
        >,
    > {
        self.inner.recv().await
    }
}

#[tokio::main]
async fn main() -> Result<(), Box<bedrockagentruntime::Error>> {
    let result = invoke_bedrock_agent("I need help.".to_string(), "123".to_string()).await?;
    println!("{}", result);
    Ok(())
}

async fn invoke_bedrock_agent(
    prompt: String,
    session_id: String,
) -> Result<String, bedrockagentruntime::Error> {
    let sdk_config: SdkConfig = aws_config::defaults(BehaviorVersion::latest())
        .region(BEDROCK_AGENT_REGION)
        .load()
        .await;
    let bedrock_client = bedrockagentruntime::Client::new(&sdk_config);

    let command_builder = bedrock_client
        .invoke_agent()
        .agent_id(BEDROCK_AGENT_ID)
        .agent_alias_id(BEDROCK_AGENT_ALIAS_ID)
        .session_id(session_id)
        .input_text(prompt);

    let response = command_builder.send().await?;

    let response_stream = response.completion;

    let event_receiver = EventReceiver::new(response_stream);

    process_agent_response_stream(event_receiver).await
}

async fn process_agent_response_stream(
    mut event_receiver: EventReceiver,
) -> Result<String, bedrockagentruntime::Error> {
    let mut full_agent_text_response = String::new();

    while let Some(event_result) = event_receiver.recv().await? {
        match event_result {
            ResponseStream::Chunk(chunk) => {
                if let Some(bytes) = chunk.bytes {
                    match String::from_utf8(bytes.into_inner()) {
                        Ok(text_chunk) => {
                            full_agent_text_response.push_str(&text_chunk);
                        }
                        Err(e) => {
                            eprintln!("UTF-8 decoding error for chunk: {}", e);
                        }
                    }
                }
            }
            _ => {
                panic!("received an unhandled event type from Bedrock stream",);
            }
        }
    }
    Ok(full_agent_text_response)
}

#[cfg(test)]
mod test {

    use super::*;

    #[tokio::test]
    async fn test_process_agent_response_stream() {
        let mut mock = MockEventReceiverImpl::default();
        mock.expect_recv().times(1).returning(|| {
            Ok(Some(
                aws_sdk_bedrockagentruntime::types::ResponseStream::Chunk(
                    aws_sdk_bedrockagentruntime::types::PayloadPart::builder()
                        .set_bytes(Some(aws_smithy_types::Blob::new(vec![
                            116, 101, 115, 116, 32, 99, 111, 109, 112, 108, 101, 116, 105, 111, 110,
                        ])))
                        .build(),
                ),
            ))
        });

        // end the stream
        mock.expect_recv().times(1).returning(|| Ok(None));

        let response = process_agent_response_stream(mock).await.unwrap();

        assert_eq!("test completion", response);
    }

    #[tokio::test]
    #[should_panic(expected = "received an unhandled event type from Bedrock stream")]
    async fn test_process_agent_response_stream_error() {
        let mut mock = MockEventReceiverImpl::default();
        mock.expect_recv().times(1).returning(|| {
            Ok(Some(
                aws_sdk_bedrockagentruntime::types::ResponseStream::Trace(
                    aws_sdk_bedrockagentruntime::types::TracePart::builder().build(),
                ),
            ))
        });

        let _ = process_agent_response_stream(mock).await.unwrap();
    }
}
```
+  Pour plus de détails sur l'API, voir [InvokeAgent](https://docs.rs/aws-sdk-bedrockagentruntime/latest/aws_sdk_bedrockagentruntime/client/struct.Client.html#method.invoke_agent)la section de *référence de l'API AWS SDK for Rust*. 

------
#### [ SAP ABAP ]

**Kit SDK pour SAP ABAP**  
 Il y en a plus à ce sujet GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le [référentiel d’exemples de code AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/bdz#code-examples). 

```
    DATA(lo_result) = lo_bdz->invokeagent(
      iv_agentid      = iv_agentid
        iv_agentaliasid = iv_agentaliasid
        iv_enabletrace  = abap_true
        iv_sessionid    = CONV #( cl_system_uuid=>create_uuid_c26_static( ) )
        iv_inputtext    = |Let's play "rock, paper, scissors".  I choose rock.| ).
    DATA(lo_stream) = lo_result->get_completion( ).
    TRY.
        " loop while there are still events in the stream
        WHILE lo_stream->/aws1/if_rt_stream_reader~data_available( ) = abap_true.
          DATA(lo_evt) = lo_stream->read( ).
          " each /AWS1/CL_BDZRESPONSESTREAM_EV event contains exactly one member
          " all others are INITIAL.  For each event, process the non-initial
          " member if desired
          IF lo_evt->get_chunk( ) IS NOT INITIAL.
            " Process a Chunk event
            DATA(lv_xstr) = lo_evt->get_chunk( )->get_bytes( ).
            DATA(lv_answer) = /aws1/cl_rt_util=>xstring_to_string( lv_xstr ).
            " the answer says something like "I chose paper, so you lost"
          ELSEIF lo_evt->get_files( ) IS NOT INITIAL.
            " process a Files event if desired
          ELSEIF lo_evt->get_returncontrol( ) IS NOT INITIAL.
            " process a ReturnControl event if desired
          ELSEIF lo_evt->get_trace( ) IS NOT INITIAL.
            " process a Trace event if desired
          ENDIF.
        ENDWHILE.
        " the stream of events can possibly contain an exception
        " which will be raised to break the loop
        " catch /AWS1/CX_BDZACCESSDENIEDEX.
        " catch /AWS1/CX_BDZINTERNALSERVEREX.
        " catch /AWS1/CX_BDZMODELNOTREADYEX.
        " catch /AWS1/CX_BDZVALIDATIONEX.
        " catch /AWS1/CX_BDZTHROTTLINGEX.
        " catch /AWS1/CX_BDZDEPENDENCYFAILEDEX.
        " catch /AWS1/CX_BDZBADGATEWAYEX.
        " catch /AWS1/CX_BDZRESOURCENOTFOUNDEX.
        " catch /AWS1/CX_BDZSERVICEQUOTAEXCDEX.
        " catch /AWS1/CX_BDZCONFLICTEXCEPTION.
    ENDTRY.
```
+  Pour plus de détails sur l'API, consultez [InvokeAgent](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)la section de référence du *AWS SDK pour l'API SAP ABAP*. 

------

# Utilisation `InvokeFlow` avec un AWS SDK
<a name="bedrock-agent-runtime_example_bedrock-agent-runtime_InvokeFlow_section"></a>

Les exemples de code suivants illustrent comment utiliser `InvokeFlow`.

Les exemples d’actions sont des extraits de code de programmes de plus grande envergure et doivent être exécutés en contexte. Vous pouvez voir cette action en contexte dans les exemples de code suivants : 
+  [Principes de base](bedrock-agent-runtime_example_bedrock-agent-runtime_Scenario_ConverseWithFlow_section.md) 
+  [Création et invocation d’un flux](bedrock-agent-runtime_example_bedrock-agent_GettingStartedWithBedrockFlows_section.md) 

------
#### [ JavaScript ]

**SDK pour JavaScript (v3)**  
 Il y en a plus à ce sujet GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le [référentiel d’exemples de code AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock-agent-runtime#code-examples). 

```
import { fileURLToPath } from "node:url";

import {
  BedrockAgentRuntimeClient,
  InvokeFlowCommand,
} from "@aws-sdk/client-bedrock-agent-runtime";

/**
 * Invokes an alias of a flow to run the inputs that you specify and return
 * the output of each node as a stream.
 *
 * @param {{
 *  flowIdentifier: string,
 *  flowAliasIdentifier: string,
 *  prompt?: string,
 *  region?: string
 * }} options
 * @returns {Promise<import("@aws-sdk/client-bedrock-agent").FlowNodeOutput>} An object containing information about the output from flow invocation.
 */
export const invokeBedrockFlow = async ({
  flowIdentifier,
  flowAliasIdentifier,
  prompt = "Hi, how are you?",
  region = "us-east-1",
}) => {
  const client = new BedrockAgentRuntimeClient({ region });

  const command = new InvokeFlowCommand({
    flowIdentifier,
    flowAliasIdentifier,
    inputs: [
      {
        content: {
          document: prompt,
        },
        nodeName: "FlowInputNode",
        nodeOutputName: "document",
      },
    ],
  });

  let flowResponse = {};
  const response = await client.send(command);

  for await (const chunkEvent of response.responseStream) {
    const { flowOutputEvent, flowCompletionEvent } = chunkEvent;

    if (flowOutputEvent) {
      flowResponse = { ...flowResponse, ...flowOutputEvent };
      console.log("Flow output event:", flowOutputEvent);
    } else if (flowCompletionEvent) {
      flowResponse = { ...flowResponse, ...flowCompletionEvent };
      console.log("Flow completion event:", flowCompletionEvent);
    }
  }

  return flowResponse;
};

// Call function if run directly
import { parseArgs } from "node:util";
import {
  isMain,
  validateArgs,
} from "@aws-doc-sdk-examples/lib/utils/util-node.js";

const loadArgs = () => {
  const options = {
    flowIdentifier: {
      type: "string",
      required: true,
    },
    flowAliasIdentifier: {
      type: "string",
      required: true,
    },
    prompt: {
      type: "string",
    },
    region: {
      type: "string",
    },
  };
  const results = parseArgs({ options });
  const { errors } = validateArgs({ options }, results);
  return { errors, results };
};

if (isMain(import.meta.url)) {
  const { errors, results } = loadArgs();
  if (!errors) {
    invokeBedrockFlow(results.values);
  } else {
    console.error(errors.join("\n"));
  }
}
```
+  Pour plus de détails sur l'API, reportez-vous [InvokeFlow](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-agent-runtime/command/InvokeFlowCommand)à la section *Référence des AWS SDK pour JavaScript API*. 

------
#### [ Python ]

**Kit SDK for Python (Boto3)**  
 Il y en a plus à ce sujet GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le [référentiel d’exemples de code AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/bedrock-agent-runtime#code-examples). 
Invoquez un flux.  

```
    def invoke_flow(self, flow_id, flow_alias_id, input_data, execution_id):
        """
        Invoke an Amazon Bedrock flow and handle the response stream.

        Args:
            param flow_id: The ID of the flow to invoke.
            param flow_alias_id: The alias ID of the flow.
            param input_data: Input data for the flow.
            param execution_id: Execution ID for continuing a flow. Use the value None on first run.

        Return: Response from the flow.
        """
        try:
      
            request_params = None

            if execution_id is None:
                # Don't pass execution ID for first run.
                request_params = {
                    "flowIdentifier": flow_id,
                    "flowAliasIdentifier": flow_alias_id,
                    "inputs": input_data,
                    "enableTrace": True
                }
            else:
                request_params = {
                    "flowIdentifier": flow_id,
                    "flowAliasIdentifier": flow_alias_id,
                    "executionId": execution_id,
                    "inputs": input_data,
                    "enableTrace": True
                }

            response = self.agents_runtime_client.invoke_flow(**request_params)

            if "executionId" not in request_params:
                execution_id = response['executionId']

            result = ""

            # Get the streaming response
            for event in response['responseStream']:
                result = result + str(event) + '\n'
            print(result)

        except ClientError as e:
            logger.error("Couldn't invoke flow %s.", {e})
            raise

        return result
```
+  Pour plus de détails sur l'API, consultez [InvokeFlow](https://docs.aws.amazon.com/goto/boto3/bedrock-agent-runtime-2023-12-12/InvokeFlow)le *AWS manuel de référence de l'API SDK for Python (Boto3*). 

------